وظائف TensorFlow - ابو ظبي الإمارات

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">About the Role: We are seeking an experienced Artificial Intelligence Engineer to design, develop, and deploy advanced AI and machine learning solutions. The successful candidate will collaborate with cross-functional teams to deliver scalable, data-driven applications that drive business value. This role is ideal for professionals with 2–7 years of hands-on experience in machine learning, deep learning, and AI frameworks. Responsibilities: Design and implement scalable machine learning and deep learning models Develop and maintain data pipelines for training and inference Optimize model performance and ensure reliability in production environments Collaborate with data scientists, software engineers, and stakeholders to define requirements and deliverables Conduct research to evaluate and integrate emerging AI technologies Document processes, code, and model performance metrics Provide technical guidance and mentorship to junior team members Required Qualifications: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field 2–7 years of experience in AI/ML engineering or a related role Proficiency in Python and machine learning libraries such as TensorFlow, scikit-learn, and Pandas Strong understanding of machine learning algorithms, statistical methods, and data science principles Hands-on experience with deep learning frameworks (TensorFlow or PyTorch) Experience with data preprocessing, feature engineering, and model deployment Ability to write clean, maintainable code and perform code reviews Strong problem-solving skills and attention to detail Preferred Qualifications: Master’s degree or higher in a technical field focused on AI or ML Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes) Familiarity with MLOps tools and CI/CD pipelines for machine learning Knowledge of natural language processing, computer vision, or reinforcement learning Excellent communication and collaboration skills Experience working in Agile development environments </div></section>

<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>​</p><br><p>We’re partnering with a leading organization in artificial intelligence to hire a<b>Staff Machine Learning Engineer</b>who will play a key role in building and scaling cutting-edge AI solutions.</p><br><p><b>Discover the Role</b></p><br><p>In this position, you will design, develop, deploy, and optimize machine learning models that power advanced AI systems. You’ll work closely with cross-functional teams to turn complex business challenges into high-impact AI products.<br></p><br><p><b>Discover the Responsibilities</b></p><br><ul><li><p><b>Model Development: </b>Build, train, and deploy predictive models that enhance AI-driven solutions.</p><br></li><li><p><b>Advanced AI Applications: </b>Leverage state-of-the-art techniques including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).</p><br></li><li><p><b>Cross-Functional Collaboration: </b>Partner with stakeholders to translate business needs into scalable ML solutions.</p><br></li><li><p><b>Model Optimization: </b>Continuously evaluate and improve model performance in real-world environments.</p><br></li><li><p><b>Data Engineering: </b>Design and maintain robust data pipelines to ensure high-quality inputs for ML systems.<br></p><br></li></ul><p><b>Discover the Requirements</b></p><br><ul><li><p>8+ years of experience in AI, Machine Learning, Reinforcement Learning, or Data Science.</p><br></li><li><p>Master’s or Ph.D. in Computer Science, AI, Data Science, Statistics, or a related field.</p><br></li><li><p>Strong expertise in Large Language Models and advanced fine-tuning techniques.</p><br></li><li><p>Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.</p><br></li><li><p>Experience with Generative AI tools like LangChain, Weaviate, LangGraph, or LlamaIndex.</p><br></li><li><p>Advanced programming skills in Python.</p><br></li><li><p>Competitive programming or data science background (e.g., ACM/ICPC, IOI/NOI, Kaggle) is a strong plus.</p><br></li></ul><p><b>Relocation support is provided if nessesary </b></p><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">About the Role: As an AI/ML Developer-2 based in Bengaluru, India, you will design, develop, and deploy advanced machine learning models and AI solutions to solve complex business problems. You will collaborate with cross-functional teams to build scalable, data-driven applications and drive innovation through end-to-end ML workflows. Responsibilities: Design, implement, and maintain machine learning models and algorithms using Python Perform data preprocessing, feature engineering, and statistical analysis on large datasets Collaborate with data engineers and software developers to integrate ML models into production systems Monitor and optimize model performance, retraining models as needed Conduct experiments to evaluate new algorithms and frameworks, and present findings to stakeholders Document code, processes, and model artifacts for reproducibility and compliance Stay up to date with the latest developments in AI/ML research and tools Required Qualifications: 5-7 years of professional experience in AI/ML development or related field Proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling Experience with data preprocessing, feature engineering, and model evaluation techniques Familiarity with SQL and NoSQL databases for data extraction and manipulation Proven experience deploying ML models into production environments Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or GCP and their ML services Knowledge of MLOps practices, CI/CD pipelines, and containerization tools like Docker and Kubernetes Hands-on experience with big data technologies such as Spark, Hadoop, or Kafka Background in natural language processing, computer vision, or reinforcement learning Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders Master’s or higher degree in Computer Science, Engineering, or a related technical discipline </div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Data Analysis &amp; Insight Generation</p></li></ol><p>Analyze large datasets to identify trends and generate actionable insights for decision making and operational efficiency.</p><p>Communicate findings through visualizations and clear storytelling.</p><ol><li><p>Machine Learning &amp; Model Development</p></li></ol><p>Develop and deploy machine learning models for use cases such as forecasting, optimization, and risk analysis.</p><p>Apply statistical and machine learning techniques to solve complex business problems.</p><ol><li><p>Data Preparation &amp; Feature Engineering</p></li></ol><p>Prepare data through extraction, cleaning, preprocessing, and feature engineering.</p><p>Ensure data quality and integrity for reliable model performance.</p><ol><li><p>Model Deployment &amp; Monitoring</p></li></ol><p>Deploy models into production and monitor performance for drift or degradation.</p><p>Continuously improve models based on feedback and new data.</p><ol><li><p>Collaboration &amp; Stakeholder Engagement</p></li></ol><p>Work with business teams to translate requirements into analytical solutions.</p><p>Collaborate with Data Engineering and Data Governance teams for end to end delivery.</p><ol><li><p>AI Governance</p></li></ol><p>Ensure all AI and machine learning activities comply with governance, privacy, and regulatory requirements by following defined lifecycle processes, risk classification, and using approved governed data.</p><p>Implement responsible and secure AI practices, including bias and fairness checks, explainability, model documentation, auditability, and collaboration with Cybersecurity and Data Governance teams.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Minimum Qualifications</p><ul><li><p>Bachelor's or Master's Degree in Data Science, Artificial Intelligence (AI), Statistics, Computer Science, or a related field.</p></li></ul><p>Minimum Experience</p><ul><li><p>Minimum <strong>5+ years</strong> of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.</p></li><li><p>Proven experience developing, deploying, and maintaining machine learning models in production environments.</p></li><li><p>Experience working with large-scale datasets and cloud-based analytics platforms is preferred.</p></li></ul><p>Skills &amp; Competencies</p><ul><li><p>Strong programming skills in <strong>Python</strong> (preferred) or <strong>R</strong>.</p></li><li><p>Experience with large-scale data processing using <strong>SQL</strong>, <strong>Spark</strong>, or similar technologies.</p></li><li><p>Hands-on experience with machine learning frameworks such as <strong>TensorFlow</strong>, <strong>PyTorch</strong>, and <strong>Scikit-learn</strong>.</p></li><li><p>Experience in end-to-end machine learning model development, validation, deployment, and optimization.</p></li><li><p>Knowledge of <strong>MLOps</strong> practices, including CI/CD pipelines, model monitoring, version control, and automated retraining.</p></li><li><p>Understanding of data engineering concepts, data pipelines, and cloud data platforms, preferably <strong>Microsoft Azure</strong> and <strong>Databricks</strong>.</p></li><li><p>Strong knowledge of statistical analysis, predictive modeling, feature engineering, and data preprocessing techniques.</p></li><li><p>Experience using data visualization tools such as <strong>Power BI</strong> and <strong>Tableau</strong> to communicate analytical insights.</p></li><li><p>Understanding of data governance, data quality management, privacy regulations, and AI governance principles.</p></li><li><p>Strong analytical thinking, problem-solving, and critical reasoning skills.</p></li><li><p>Excellent communication, presentation, and stakeholder management skills.</p></li><li><p>Ability to work collaboratively with cross-functional teams in an agile environment.</p></li><li><p>Strong organizational skills with the ability to manage multiple priorities and deliver high-quality outcomes within deadlines.</p></li></ul></li></ul><p></p></section>