351 to 375 of 2,037 TensorFlow Jobs

with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such More ❯

with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such More ❯

and techniques. To be a successful match you must have: 1+ years in a Machine Learning or ML Engineering role, with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch). Motivated recent graduates are encouraged to apply! A degree in Mathematics, Engineering, Statistics, Computer Science, Physics, or a related field. An advanced degree is highly preferred. Proficient More ❯

personas Proven track record of leading and delivering complex software projects. Strong programming skills in languages such as Python, Java, or C++. Applying machine learning frameworks and tools (e.g., TensorFlow, PyTorch). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work in a fast-paced, dynamic environment. Hands-on involvement with large-scale distributed More ❯

solution direction, Contribute to internal best practices and the technical growth of the team. Required Qualifications Proficiency in Python and experience with machine learning libraries (e.g. scikit-learn, PyTorch, TensorFlow), Proven ability to deliver data science projects with measurable outcomes, Strong grounding in statistics, modelling, or applied mathematics, Experience with real-world data: cleaning, preprocessing, feature engineering, and evaluation More ❯

experience in statistical modelling, forecasting, and optimization. Strong proficiency in Python, SQL, and cloud-based data platforms (mainly Google Cloud and AWS). Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, XGBoost). Strong stakeholder management skills, with the ability to communicate findings to non-technical teams and influence business strategy and commercial outcomes. Hands-on experience with More ❯

solution direction, Contribute to internal best practices and the technical growth of the team. Required Qualifications Proficiency in Python and experience with machine learning libraries (e.g. scikit-learn, PyTorch, TensorFlow), Proven ability to deliver data science projects with measurable outcomes, Strong grounding in statistics, modelling, or applied mathematics, Experience with real-world data: cleaning, preprocessing, feature engineering, and evaluation More ❯

models, implement data pipelines, and contribute to the deployment and monitoring of AI-powered features. Key Responsibilities Develop machine learning and deep learning models in Python using frameworks like TensorFlow or PyTorch. Write modular, testable, and production-ready Python code for data preprocessing, feature engineering, and model training. Build and maintain scalable Python-based data pipelines using tools like … Learning, or a related technical field. 3+ years of professional experience in AI/ML development using Python . Strong knowledge of the Python ecosystem for machine learning (e.g., TensorFlow, PyTorch, Pandas, NumPy, FastAPI). Experience deploying Python-based ML models in production environments (on cloud platforms like Azure or AWS). Familiar with MLOps concepts, data versioning (DVC More ❯

models, implement data pipelines, and contribute to the deployment and monitoring of AI-powered features. Key Responsibilities Develop machine learning and deep learning models in Python using frameworks like TensorFlow or PyTorch. Write modular, testable, and production-ready Python code for data preprocessing, feature engineering, and model training. Build and maintain scalable Python-based data pipelines using tools like … Learning, or a related technical field. 3+ years of professional experience in AI/ML development using Python . Strong knowledge of the Python ecosystem for machine learning (e.g., TensorFlow, PyTorch, Pandas, NumPy, FastAPI). Experience deploying Python-based ML models in production environments (on cloud platforms like Azure or AWS). Familiar with MLOps concepts, data versioning (DVC More ❯

distributed computing, high-performance computing, neural deep learning methods, and/or machine learning. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. PREFERRED QUALIFICATIONS PhD or Master's degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. Practical experience in solving complex problems … in an applied environment. Hands-on experience building models with deep learning frameworks like PyTorch, TensorFlow, or JAX. Prior experience in training and fine-tuning of Large Language Models (LLMs). Knowledge of AWS platform and tools. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis More ❯

not only technically strong, but solution-oriented, strategically minded, and able to communicate insights clearly to both technical and non-technical audiences. Requirements: Advance Python (Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch) & SQL skills. (Snowflake a plus) Experience with Data warehousing and database technologies Solid machine learning experience (modelling to deployment) Cloud exposure (GCP/AWS/Azure) Excellent More ❯

of conveying complex information clearly Strong understanding of computer science concepts (databases, software engineering, cloud computing, especially AWS) and data science (machine learning processes) Proficiency in Python, including Pytorch, TensorFlow, SKLearn; some knowledge of LangChain, RAGAS, and CI/CD A growth mindset and eagerness to learn new challenges Willingness to travel and adapt to different client projects We More ❯

/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools More ❯

with LangChain or similar frameworks for building language model applications. Proficiency in Python and SQL, with strong skills in data manipulation and analysis. Expertise in AI frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Ability to effectively communicate complex AI concepts, especially to non-technical stakeholders. Preferred Qualifications Experience with graph databases and knowledge graphs. Familiarity with business More ❯

effectively. Solid understanding of computer science fundamentals (databases, software engineering, cloud computing especially AWS) and data science (machine learning processes). Proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, with some knowledge of LangChain, RAGAS, and CI/CD. Growth mindset and eagerness to learn new challenges. Willingness to travel and adapt to different client projects. More ❯

security and governance standards. Data Scientist experience we’re looking for – Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based More ❯

and prototype AI/ML models to address business challenges (e.g., process automation, predictive analytics, customer service optimisation) Develop and deploy machine learning models using modern tools (e.g., Python, TensorFlow, PyTorch, Scikit-learn) Collaborate with data engineers to prepare and manage training datasets Integrate AI solutions with existing applications and infrastructure Partner with stakeholders to understand requirements, identify opportunities More ❯

security and governance standards. Data Scientist experience we’re looking for – Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based More ❯

security and governance standards. Data Scientist experience we’re looking for – Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based More ❯

security and governance standards. Data Scientist experience we’re looking for – Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based More ❯

practices in machine learning. Optimization : Continuously improve machine learning infrastructure and production workflows. Strong technical foundation in machine learning and software engineering Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data processing tools like Apache More ❯

Science (or related field). 3+ years of experience writing production-grade Python code. 3+ years of hands-on experience with core Python data libraries (e.g., pandas, numpy, sklearn, tensorflow, pytorch, matplotlib). At least 1 year of experience deploying machine learning models in production environments. 1-2 years of experience working with SQL/NoSQL databases (e.g., Elasticsearch More ❯

Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms. Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java). First author in research publications in peer-reviewed conferences More ❯

a deep understanding of OAuth, JWT/JWE/JWS. Solid understanding of backend performance optimization and debugging. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience React #J-18808-Ljbffr More ❯

data warehousing concepts, data modeling techniques, and data mining principles. Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., Pandas, Scikit-learn, TensorFlow). Experience with data visualization tools such as Tableau or Power BI. Familiarity with Agile methodologies and MBSE principles is a plus. Excellent communication, interpersonal, and presentation skills, with More ❯