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Duty Remote Remote, Remote, United States, Remote- USPosted 30+ days ago Engineering Python Datadog Microsoft Azure Cloud Native Pager Duty Distributed Systems Service Indexing Onboarding Cloud Services Remote, Remote Posted 30+ days ago Specialists Diagnostics Primary Care

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Crane Operators <p>Operator Crane with valid license and Transfer in UAE&nbsp;</p><br> <br> <br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> The Data Center Facilities BMS/DCIM Operator is responsible to supervise and control the operation of the building management system (BMS) &amp; Data Center infrastructure Management (DCIM) System and monitor all Electrical, ELV, and fire/life safety equipment, HVAC plant activities of the Data center building services within the data center is operating at peak efficiency. Maintaining and monitoring the level of temperature in equipment’s and trouble notifying against the DCIM alarms. The Operator serves as an expert technical resource reporting and interacting with onsite Engineers and any third-party vendors. Data center equipment that supports mission-critical servers must maintain better than 99.999% uptime.</p><br><p><strong>Responsibilities:</strong></p><ul><li><p>Operates and maintains Building Management System (BMS) for proper function and monitors the DCIM against approved benchmarks to include; HVAC, Lighting, Fire Suppression, Generator, Plumbing, and Electrical</p></li><li><p>Carry out routine checks for correct operation of all control equipment as directed by Facility Engineer</p></li><li><p>Monitor the operation of the HVAC control systems using the BMS/DCIM to monitor performance.</p></li><li><p>Adjust variables and provide adjustment as required to ensure systems are operating correctly within parameters</p></li><li><p>Monitor and record values of HVAC systems to build up a database of records to provide data for energy efficiency improvement.</p></li><li><p>Communicate all maintenance and repair actions in writing for information to management as required.</p></li><li><p>Should follow the Protocols if any unexpected technical difficulties and other problems that may arise at any time.</p></li><li><p>Monitors and verifies operation of all BMS/DCIM field devices.</p></li><li><p>Adjusts BMS settings and parameters to meet changing conditions, i.e., Load, Environmental, Customer needs, etc.</p></li><li><p>Records maintenance data and generates reports as needed.</p></li><li><p>Maintains job card documentation for all Alarms or changes to systems and/or equipment.</p></li><li><p>Monitors of fire detection alarm system, such as smoke detector, heat detector, sprinkler, and emergency exit, in coordination with Safety Function.</p></li><li><p>Monitors of Water tank supply level alarm, air handling unit, fresh air handling unit.</p></li><li><p>Monitors and controls the Fire pump system, motors, sewage pump, electrical system, water system in the Data Center building.</p></li><li><p>Performs miscellaneous tasks as assigned by his Facility Engineer</p></li><li><p>Daily checking healthiness of all facilities equipment’s and keeping daily logs and records of all maintenance functions.</p></li><li><p>Create the Job cards in CAFM (FSI) Mobile App as per Site requirements and close the Job cards which Engineer assigns.</p></li><li><p>Responding promptly and efficiently to emergencies calls.</p></li><li><p>Review and understand equipment and methods of operation, Electrical systems, ELV system, fire/life safety, and other systems.</p></li><li><p>Comply with all safety procedures and requirements</p></li><li><p>Support any afterhours building needs and activities as required</p></li><li><p>Attend training sessions and seminars.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><br></p><p><strong>Qualifications:</strong></p><ul><li><p>2-3 year BMS/DCIM Operator Experience in Data Center Maintenance/Operations.</p></li><li><p>5+ year Total Experience in BMS/DCIM.</p></li></ul><br><p><strong>Skills required:</strong></p><ul><li><p>Working knowledge of Electrical &amp; ELV systems including secondary distribution, HVAC System interior systems</p></li><li><p>Ability to read CAD Drawings, single-line diagrams, and rough shop drawings</p></li><li><p>Possess strong knowledge in multiple skilled trades (electrical, HVAC, plumbing, etc)</p></li><li><p>Requires ability to analyze the operation of various infrastructure systems, determine the cause of problems/malfunctions, and take corrective actions as required</p></li><li><p>Trained and experienced in BMS/DCIM operation.</p></li><li><p>Vigilant with attention for detail.</p></li><li><p>Excellent computer operation skills.</p></li><li><p>Ability to deal with emergency situations in a calm manner. Integrity, commitment and courteous.</p></li><li><p>Following instructions &amp; Procedures.'</p></li></ul><br><p><strong>Personal Skills</strong></p><ul><li><p>Good English Communication knowledge is required.</p></li><li><p>Good Working Knowledge of PC systems, and CAFM Mobile Apps</p></li><li><p>Persistent and self-motivated.</p></li><li><p>Excellent organizational skills and initiative to learn and take on new responsibilities.</p></li><li><p>Ability to work in a fast-paced environment with minimal supervision.</p></li><li><p>Good problem-solving skills and ability to meet demanding time constraints.</p></li><li><p>Self-motivated and independent.</p></li><li><p>Excels with ambiguous situations as a chance to show leadership</p></li><li><p>Strong team player with the ability to influence/develop/maintain relationships with internal/external contacts.</p></li><li><p>Articulate, friendly, and diplomatic with the ability to negotiate.</p></li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Production Manager Required – Plastic Manufacturing Factory</b></p><p>We are looking to hire an experienced <b>Production Manager</b> for a plastic manufacturing factory in the UAE.</p><p>The candidate will be responsible for managing daily factory production operations, production planning, manpower, machines, quality, raw materials, maintenance coordination, safety, and delivery targets.</p><p>The factory includes multiple plastic manufacturing divisions such as <b>Blow Molding, Rotational Molding, Extrusion, and Injection Molding</b>, producing industrial plastic products such as water tanks, drums, pallets, waste bins, plastic formwork systems, hollow profiles, road barriers, and heavy-duty plastic products.</p><p><br></p><p><b>Requirements:</b></p><ul><li>Minimum <b>8–10 years experience</b> in plastic manufacturing / industrial production.</li><li>Minimum <b>3–5 years experience</b> in production management or factory operations.</li><li>Experience in <b>blow molding, rotational molding, extrusion, or injection molding</b> is strongly preferred.</li><li>Bachelor’s Degree in <b>Mechanical Engineering, Industrial Engineering, Production Engineering, Polymer/Plastic Engineering</b>, or related field preferred.</li><li>Diploma / technical qualification may be accepted for candidates with strong plastic manufacturing experience.</li><li>Strong knowledge of production planning, machine operation, manpower control, quality control, and maintenance coordination.</li><li>UAE / GCC experience is preferred.</li><li>Strong leadership, problem-solving, reporting, and cost-control skills.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Main Responsibilities:</b></p><ul><li>Manage daily production operations and production schedules.</li><li>Supervise production lines including blow molding, rotomolding, extrusion, and injection molding.</li><li>Ensure production targets are achieved as per required quality, quantity, and timing.</li><li>Monitor machine performance, production efficiency, downtime, and wastage.</li><li>Coordinate with QC, maintenance, warehouse, procurement, and dispatch teams.</li><li>Control raw material usage, production planning, manpower allocation, and shift operations.</li><li>Ensure products are manufactured according to approved specifications and quality standards.</li><li>Review daily production reports, material consumption, rejection, and machine breakdown reports.</li><li>Improve productivity, reduce waste, and control production costs.</li><li>Ensure HSE compliance, housekeeping, and safe factory operations.</li></ul><p><br></p></div>

<ul><li>Architect and implement scalable AI solutions on Azure, leveraging services like Azure Machine Learning, Azure OpenAI, and Azure Databricks.</li><li>Lead the design and development of complex AI models, including LLMs, computer vision, and natural language processing, tailored for specific business needs.</li><li>Drive the integration of AI capabilities into existing enterprise applications and workflows, ensuring seamless deployment and adoption.</li><li>Optimize AI models for performance, cost-efficiency, and reliability within the Azure cloud environment.</li><li>Mentor junior developers and data scientists, fostering a culture of innovation and best practices in AI development.</li><li>Collaborate with product managers and stakeholders to translate business requirements into robust AI solutions.</li><li>Stay abreast of the latest advancements in AI research and Azure AI services, proactively identifying opportunities for innovation.</li><li>Develop and maintain CI/CD pipelines for AI models, ensuring automated testing, deployment, and monitoring.</li><li>Troubleshoot and resolve complex technical issues related to AI model performance and Azure infrastructure.</li><li>Contribute to the development of reusable AI components and frameworks to accelerate future project delivery.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>8+ years of professional software development experience, with at least 3 years focused on AI/ML solutions.</p></li><li><p>Proven expertise in developing and deploying machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</p></li><li><p>Hands-on experience with Azure AI services, including Azure Machine Learning, Azure OpenAI, Azure Cognitive Services, and Azure Databricks.</p></li><li><p>Strong understanding of MLOps principles and tools for model lifecycle management.</p></li><li><p>Excellent problem-solving skills and the ability to architect complex, scalable AI systems.</p></li><li><p>Proficiency in cloud-native development practices and containerization technologies (e.g., Docker, Kubernetes).</p></li><li><p>Exceptional communication and collaboration skills, with the ability to explain technical concepts to non-technical audiences.</p></li><li><p>Experience working in a fast-paced, agile development environment.</p></li><li><p>Familiarity with data engineering principles and working with large datasets.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Cntxt.AI, a leading technology company in the staffing and recruiting industry, is seeking a talented Applied Scientist to join our dynamic team.<br> As an Applied Scientist at Cntxt.<br>AI, you will have the opportunity to work on cutting-edge projects that leverage artificial intelligence and machine learning to revolutionize talent acquisition.<br> This role offers a unique blend of research and development, where you will directly impact the future of recruiting by designing and implementing innovative solutions.<br> If you are passionate about utilizing data-driven approaches to solve complex challenges and thrive in a collaborative environment, we invite you to apply and be part of our mission to reshape the staffing industry.<br> Responsibilities Develop and implement machine learning models to enhance candidate matching algorithms.<br> Analyze large datasets to extract valuable insights and drive data-driven decision-making.<br> Collaborate with cross-functional teams to design and deploy scalable solutions for recruitment processes.<br> Conduct research on new techniques and technologies to improve the efficiency of our AI-driven systems.<br> Optimize algorithms for performance and accuracy, continuously iterating and refining models.<br> Contribute to the development of innovative tools and features that advance Cntxt.<br>AI's competitive edge.<br> Participate in technical discussions and present findings to stakeholders in a clear and concise manner.<br> Master's or Ph.<br>D. in Computer Science, Statistics, Mathematics, or a related field.<br> Solid background in machine learning, data mining, and natural language processing.<br> Proficiency in programming languages such as Python, R, or Java.<br> Experience working with data processing frameworks like TensorFlow, PyTorch, or Spark.<br> Strong analytical skills and the ability to translate business requirements into technical solutions.<br> Excellent communication skills with the capacity to collaborate effectively in a team environment.<br> A passion for innovation and a drive to stay current with advancements in AI and ML technology.<br></span> </div>

We are looking for data Scientist for a three months maternity cover role based in Dubai. Below are the skills required -Minimum Experience and Knowledge:Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.5–8 years of experience in Data Science, Machine Learning, Advanced Analytics, or AI-driven product development. Strong proficiency in Python and SQL, with a solid understanding of machine learning algorithms and analytical techniques. Proven experience building, validating, and deploying predictive and prescriptive models to solve business problems. Hands-on experience with Azure Databricks, cloud-based analytics platforms, and large-scale data environments. Strong knowledge of statistical modeling, experimentation (A/B testing), forecasting, clustering, classification, recommendation systems, and model evaluation. Experience with Generative AI, Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, or AI-powered automation solutions is highly desirable. Experience translating business problems into scalable data science solutions and collaborating with cross-functional teams to deliver measurable business impact. Background in Retail, Customer Analytics, Digital Analytics, E-commerce, Loyalty, or CRM analytics is preferred. Excellent communication, stakeholder management, and data storytelling skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences. Strong problem-solving skills with the ability to balance technical excellence, business impact, and strategic thinking.

<p>Required urgently </p><p>PLATER / FABRICATOR</p><ul><li><p>FITTER MECHANICAL</p></li><li><p>FITTER HEAVY DUTY</p></li><li><p>OPERATOR – TURNER, LATHE & MILLING</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>with good experience and english</p>

Role: Data Annotator (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $6 - $10/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Annotator to work on a contract basis. The role involves tagging and labeling data to improve machine learning models. This includes processing text, images, and audio for AI training purposes.<br>Key Responsibilities:• Review and annotate text, images, or audio data according to provided guidelines.• Ensure accuracy and consistency in labeling to support model performance.• Follow established annotation protocols and maintain quality standards.• Collaborate with team members to clarify annotation tasks when needed.• Meet daily or weekly productivity targets for annotated data output.<br>Required Skills & Qualifications:• Proficiency in data annotation tools and platforms.• Strong attention to detail for accurate labeling and tagging.• Basic understanding of machine learning and AI concepts.• Ability to follow structured guidelines for consistent results.• Self-motivated with the discipline to work independently in a remote setting.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI systems. The position supports scalable data processing for machine learning applications.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<ul><li><p>Designs and develops scalable machine learning models and AI-driven</p><p>solutions to address complex business challenges and enhance decision-</p><p>making processes</p><p>KEY RESPONSIBILITIE S</p><ul><li><p>Work with large and complex data sets to solve challenging business</p></li></ul><p>problems</p><ul><li><p>Collect, clean, and preprocess large datasets for analysis & model training</p></li><li><p>Perform exploratory data analysis (EDA) to uncover insights and inform model</p></li></ul><p>development</p><ul><li><p>Develop, train, and optimize machine learning models using state-of-the-art</p></li></ul><p>algorithms and frameworks</p><ul><li><p>Build end-to-end ML pipelines, including data ingestion, transformation, model</p></li></ul><p>training, validation, and deployment</p><ul><li><p>Automate workflows for model training, testing, and deployment using</p></li></ul><p>CI/CD pipelines and MLOps tools</p><ul><li><p>Collaborate with cross-functional teams to integrate models into applications</p></li></ul><p>and deliver end-to-end solutions</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5 years of experience in data science, machine learning, or AI</p><ul><li><p>Expertise in supervised/unsupervised learning, deep learning, NLP, computer</p></li></ul><p>vision, or generative AI (e.g., LLMs).</p><ul><li><p>Strong proficiency in Python and/or R; familiarity with SQL for data querying</p></li><li><p>Ability to build data pipelines (Spark, Airflow, Hadoop) and work with big data</p></li></ul><p>tools</p><ul><li><p>Understanding of model serving, API development (FastAPI, Flask), and</p></li></ul><p>optimizing model performance for real-time or batch inference.</p><ul><li><p>Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like</p></li></ul><p>MLflow/Kubeflow for model lifecycle management (MLOps)</p><p>Classified: Internal\ FAB.</p><p>Internal</p><ul><li><p>Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g.,</p></li></ul><p>Sagemaker, Vertex AI)</p><ul><li><p>Educational qualifications: Master in Computer Science or a related field</p></li></ul><p>Work Experience</p><p>5-7Years</p></li></ul>

<ul><li><p>Work with large and complex data sets to solve challenging business problems</p></li><li><p>Collect, clean, and preprocess large datasets for analysis & model training</p></li><li><p>Perform exploratory data analysis (EDA) to uncover insights and inform model development</p></li><li><p>Develop, train, and optimize machine learning models using state-of-the-art algorithms and frameworks</p></li><li><p>Build end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deployment</p></li><li><p>Automate workflows for model training, testing, and deployment using CI/CD pipelines and MLOps tools</p></li><li><p>Collaborate with cross-functional teams to integrate models into applications and deliver end-to-end solutions</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5 years of experience in data science, machine learning, or AI</p></li><li><p>Expertise in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).</p></li><li><p>Strong proficiency in Python and/or R; familiarity with SQL for data querying</p></li><li><p>Ability to build data pipelines (Spark, Airflow, Hadoop) and work with big data tools</p></li><li><p>Understanding of model serving, API development (FastAPI, Flask), and optimizing model performance for real-time or batch inference.</p></li><li><p>Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow for model lifecycle management (MLOps)</p></li><li><p>Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI)</p></li><li><p>Educational qualifications: Master in Computer Science or a related field.</p></li></ul><p>Skills</p><p>Machine Learning</p><p>Data Analysis</p><p>Python</p><p>Powered</p>

Role Overview<br><br>We are seeking a highly skilled and experienced Senior AI Engineer to design, develop, and deploy advanced artificial intelligence solutions. This role involves working across the full AI lifecycle—from research and model development to production deployment and optimization—while collaborating with cross-functional teams to drive innovation and business impact.<br><br>Key Responsibilities<br><br>Design, develop, and deploy scalable AI and machine learning models. Lead the development of end-to-end AI pipelines, including data preprocessing, model training, evaluation, and deployment. Build and optimize solutions across domains such as NLP, computer vision, recommendation systems, and generative AI. Collaborate with data engineers, software engineers, and product teams to integrate AI solutions into production systems. Optimize models for performance, scalability, and cost-efficiency. Research and evaluate emerging AI technologies and frameworks to drive continuous innovation. Establish best practices for model development, deployment, monitoring, and governance (MLOps / LLMOps). Mentor junior engineers and provide technical leadership within the team. Ensure ethical AI practices, fairness, and compliance with relevant regulations. <br><br>Required Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD is a plus). 7+ years of experience in AI/ML engineering or related roles. Strong programming skills in Python (and/or Java, C++). Hands-on experience with machine learning frameworks such as Tensor Flow, PyTorch, or similar. Proven experience deploying ML models into production environments. Solid understanding of statistics, algorithms, and data structures. Experience with cloud platforms (e.g., Azure, AWS, GCP) and MLOps practices. Proficiency in data processing tools such as SQL, Spark, or Hadoop. Experience with generative AI, including large language models (LLMs) and transformer-based architectures. <br><br>Key Skills<br><br>Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ability to translate business requirements into scalable AI solutions Leadership and mentoring capabilities <br><br>Gen AI & Advanced AI Skills <br><br>Experience developing Agentic AI workflows Strong understanding of the Agentic AI pipeline, including:Agent runtimes Memory management Agentic architectures LLMOps concepts Hands-on experience with:Retrieval-Augmented Generation (RAG) LLM fine-tuning techniques Experience with Gen AI tools and frameworks (e.g., Lang Chain, Semantic Kernel, Llama Index, etc.) <br><br>Preferred Qualifications<br><br>Experience with model serving frameworks and APIs (e.g., Fast API, Flask). Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience with CI/CD pipelines and Dev Ops practices. Exposure to data engineering or big data ecosystems. Domain experience (e.g., finance, healthcare, retail, telecom) is a plus. <br><br>Senior AI Engineer in Abu Dhabi, United Arab Emirates

Role Overview<br><br>We are seeking a highly skilled and experienced Senior AI Engineer to design, develop, and deploy advanced artificial intelligence solutions. This role involves working across the full AI lifecycle—from research and model development to production deployment and optimization—while collaborating with cross-functional teams to drive innovation and business impact.<br><br>Key Responsibilities<br><br>Design, develop, and deploy scalable AI and machine learning models. Lead the development of end-to-end AI pipelines, including data preprocessing, model training, evaluation, and deployment. Build and optimize solutions across domains such as NLP, computer vision, recommendation systems, and generative AI. Collaborate with data engineers, software engineers, and product teams to integrate AI solutions into production systems. Optimize models for performance, scalability, and cost-efficiency. Research and evaluate emerging AI technologies and frameworks to drive continuous innovation. Establish best practices for model development, deployment, monitoring, and governance (MLOps / LLMOps). Mentor junior engineers and provide technical leadership within the team. Ensure ethical AI practices, fairness, and compliance with relevant regulations. <br><br>Required Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD is a plus). 7+ years of experience in AI/ML engineering or related roles. Strong programming skills in Python (and/or Java, C++). Hands-on experience with machine learning frameworks such as Tensor Flow, PyTorch, or similar. Proven experience deploying ML models into production environments. Solid understanding of statistics, algorithms, and data structures. Experience with cloud platforms (e.g., Azure, AWS, GCP) and MLOps practices. Proficiency in data processing tools such as SQL, Spark, or Hadoop. Experience with generative AI, including large language models (LLMs) and transformer-based architectures. <br><br>Key Skills<br><br>Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ability to translate business requirements into scalable AI solutions Leadership and mentoring capabilities <br><br>Gen AI & Advanced AI Skills <br><br>Experience developing Agentic AI workflows Strong understanding of the Agentic AI pipeline, including:Agent runtimes Memory management Agentic architectures LLMOps concepts Hands-on experience with:Retrieval-Augmented Generation (RAG) LLM fine-tuning techniques Experience with Gen AI tools and frameworks (e.g., Lang Chain, Semantic Kernel, Llama Index, etc.) <br><br>Preferred Qualifications<br><br>Experience with model serving frameworks and APIs (e.g., Fast API, Flask). Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience with CI/CD pipelines and Dev Ops practices. Exposure to data engineering or big data ecosystems. Domain experience (e.g., finance, healthcare, retail, telecom) is a plus. <br><br>Senior AI Engineer in Abu Dhabi, United Arab Emirates

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>Discover the Opportunity</b></p><br><p>We are hiring a visionary Principal Manager of Engineering to lead cutting edge squads for an industry leader in artificial intelligence. Our client bridges the gap between advanced research and real world impact by building secure enterprise applications for knowledge workers. As a foundational member of the team you will work in a world class environment with access to the latest tools and technologies.</p><br><p><br><b>Discover the Role</b></p><br><p>In this position you will lead and mentor a highly skilled team of front end back end and machine learning engineers. You will drive the development of solutions leveraging next generation AI and LLM technologies while collaborating directly with customers to deploy these systems onto their tech stacks. This role requires a deep understanding of machine learning along with the ability to manage project timelines and budgets effectively.</p><br><p>​</p><br><p><b>Discover the Responsibilities</b></p><br><ul><li><p>Lead a multidisciplinary team of engineers to deliver complex AI projects.</p><br></li><li><p>Define and implement best practices for AI model development and deployment.</p><br></li><li><p>Contribute to the overarching AI strategy and roadmap for the company.</p><br></li><li><p>Lead technical discussions with customers and translate complex concepts to non technical stakeholders.</p><br></li><li><p>Stay abreast of the latest research and industry trends to foster a culture of innovation.</p><br></li><li><p>Ensure ethical AI development while solving challenges in critical sectors.</p><br></li></ul><p>​</p><br><p><b>Discover the Requirements</b></p><br><ul><li><p>MS or PhD in Computer Science Machine Learning or a related field.</p><br></li><li><p>5 or more years of experience in AI or ML engineering 2 or more years of experience in a leadership role.</p><br></li><li><p>Deep expertise in natural language processing and deep learning.</p><br></li><li><p>Hands on experience with Transformer based models and LLM architectures.</p><br></li><li><p>Strong Python programming skills and familiarity with frameworks like PyTorch or TensorFlow Experience with large scale distributed computing and ML infrastructure.</p><br></li><li><p>A track record of publications or patents in the field is a plus.</p><br></li></ul><br> </div>

Role Overview:To establish, lead and grow the UAS Charter Brokerage business by developing commercial strategy, generating profitable revenue, building strategic industry partnerships, and creating a scalable charter operation that contributes significantly to UAS growth objectives. The incumbent will function as the lead of the Charter division and be responsible for the business unit's commercial performance, profitability, client acquisition strategy, and future organizational development.<br>Key Accountabilities:Business Leadership and Strategy:Develop and execute the Charter business strategy. Establish annual revenue, GP and growth plans. Identify market opportunities and new revenue streams. Build the roadmap for future Charter business expansion. Revenue & Profitability Ownership Own and deliver annual Charter revenue and GP targets. Maintain minimum GP margin targets. Develop pricing strategies and commercial governance. Drive sustainable revenue growth and repeat business. Business Development:Acquire new charter clients across corporate, VIP, government, sports, energy and entertainment sectors. Develop strategic relationships with aircraft operators, brokers and aircraft owners. Build a sustainable portfolio of high-value accounts. Commercial Leadership:Lead negotiations for complex charter opportunities. Act as executive point of contact for key clients. Ensure exceptional client retention and service standards. Operational Oversight:Oversee charter delivery standards and commercial performance. Ensure efficient handling of charter requests. Implement operational KPIs and service quality measures. Charter Function Building:Establish CRM discipline, reporting and forecasting processes. Develop succession and team expansion plans. Recruit and lead future Charter team members.<br>Required Qualifications:Minimum 7–10 Years of proven experience in Charter Sales or a senior commercial role within the aviation industry. Bachelor’s degree in business, Aviation, Marketing, or related discipline (or equivalent professional experience). Demonstrated track record of generating a minimum USD 1M+ annual Gross Profit within a charter brokerage, aircraft operator, or private aviation environment. Must possess an active and transferable network of charter clients, brokers, operators, aircraft owners, and aviation stakeholders capable of supporting accelerated business development. Strong commercial and operational knowledge of charter flight operations and aviation industry dynamics. Excellent communication, negotiation, and stakeholder management skills. Ability to work independently, manage priorities effectively, and lead within a team environment. Willingness to work flexible hours and provide support when required.<br>Key Competencies:Strategic Sales Leadership: Ability to define and execute sales strategies that drive long-term growth. Client Relationship Management: Expertise in building trust-based, long-term client partnerships. Negotiation & Commercial Acumen: Strong capability to negotiate complex deals aligned with company objectives. Industry Expertise: Deep understanding of charter operations, regulations, and operational challenges. Problem Solving & Decision Making: Proactive and solution-oriented approach in high-pressure situations. Communication Skills: Clear, confident communicator with clients, partners, and internal stakeholders. Resilience & Adaptability: Thrives in a fast-paced, result-driven environment. Technology Proficiency: Skilled in CRM platforms, flight scheduling tools, and Microsoft Office Suite. Results-Oriented Mindset: Strong focus on achieving targets, driving revenue, and delivering measurable outcomes.

Role Overview:To establish, lead and grow the UAS Charter Brokerage business by developing commercial strategy, generating profitable revenue, building strategic industry partnerships, and creating a scalable charter operation that contributes significantly to UAS growth objectives. The incumbent will function as the lead of the Charter division and be responsible for the business unit's commercial performance, profitability, client acquisition strategy, and future organizational development.<br>Key Accountabilities:Business Leadership and Strategy:Develop and execute the Charter business strategy. Establish annual revenue, GP and growth plans. Identify market opportunities and new revenue streams. Build the roadmap for future Charter business expansion. Revenue & Profitability Ownership Own and deliver annual Charter revenue and GP targets. Maintain minimum GP margin targets. Develop pricing strategies and commercial governance. Drive sustainable revenue growth and repeat business. Business Development:Acquire new charter clients across corporate, VIP, government, sports, energy and entertainment sectors. Develop strategic relationships with aircraft operators, brokers and aircraft owners. Build a sustainable portfolio of high-value accounts. Commercial Leadership:Lead negotiations for complex charter opportunities. Act as executive point of contact for key clients. Ensure exceptional client retention and service standards. Operational Oversight:Oversee charter delivery standards and commercial performance. Ensure efficient handling of charter requests. Implement operational KPIs and service quality measures. Charter Function Building:Establish CRM discipline, reporting and forecasting processes. Develop succession and team expansion plans. Recruit and lead future Charter team members.<br>Required Qualifications:Minimum 7–10 Years of proven experience in Charter Sales or a senior commercial role within the aviation industry. Bachelor’s degree in business, Aviation, Marketing, or related discipline (or equivalent professional experience). Demonstrated track record of generating a minimum USD 1M+ annual Gross Profit within a charter brokerage, aircraft operator, or private aviation environment. Must possess an active and transferable network of charter clients, brokers, operators, aircraft owners, and aviation stakeholders capable of supporting accelerated business development. Strong commercial and operational knowledge of charter flight operations and aviation industry dynamics. Excellent communication, negotiation, and stakeholder management skills. Ability to work independently, manage priorities effectively, and lead within a team environment. Willingness to work flexible hours and provide support when required.<br>Key Competencies:Strategic Sales Leadership: Ability to define and execute sales strategies that drive long-term growth. Client Relationship Management: Expertise in building trust-based, long-term client partnerships. Negotiation & Commercial Acumen: Strong capability to negotiate complex deals aligned with company objectives. Industry Expertise: Deep understanding of charter operations, regulations, and operational challenges. Problem Solving & Decision Making: Proactive and solution-oriented approach in high-pressure situations. Communication Skills: Clear, confident communicator with clients, partners, and internal stakeholders. Resilience & Adaptability: Thrives in a fast-paced, result-driven environment. Technology Proficiency: Skilled in CRM platforms, flight scheduling tools, and Microsoft Office Suite. Results-Oriented Mindset: Strong focus on achieving targets, driving revenue, and delivering measurable outcomes.

<p>VMC Programmer cum Operator</p><p><strong>Desired Candidate Profile</strong></p><p>Key Details: � Location: Dubai, UAE </p><p>�️ Experience: Minimum 4 Years (Operating & Programming VMC) </p><p>� Skills: FANUC, AutoCAD / Mastercam / 3D Modeling </p><br>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Ensure to run the machine at a designed speed and achieve production targets</p></li><li><p>Ensure machines are maintained on daily basis (cleaning, lubrication)</p></li><li><p>Update manual and digital daily production and maintenance reports</p></li><li><p>Lead &amp; execute tooling, size change, mould change operations and ensure safety while doing so</p></li><li><p>Follow orders from Production Supervisor</p></li><li><p>Maintain hygiene and cleaning for machines, surrounding areas and tools</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p><strong>Educational Qualification&nbsp;</strong></p><ul><li><p>Basic Education</p></li></ul><br><p><strong>Work Experience</strong></p><ul><li><p>Experience in Paper Lid / Thermoforming machine operations</p></li><li><p>Prior experience in a factory or production setting is an advance (Optional)</p><br></li></ul><br><p><strong>Competencies</strong></p><ul><li><p>Ability to read and write in English&nbsp;</p></li><li><p>Willingness to work in shifts and perform physically&nbsp;demanding&nbsp;tasks</p></li></ul><br><p><strong>Languages</strong></p><ul><li><p>English&nbsp;</p></li></ul></li></ul><p></p></section>

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!