1 to 25 of 339 TensorFlow Jobs

establishing best practices for software development, including agile methodologies, CI/CD, and DevOps/MLOps workflows. Proficiency with ML/AI frameworks (PyTorch, TensorFlow, scikit-learn), LLM deployment, cloud platforms (AWS, Azure, GCP), and modern development tools including containerization (Docker, Kubernetes) and streaming data platforms (Kafka, Spark). ...

research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services ...

understand the importance of governance, safety, and human oversight. WHAT YOU BRING: Technical Skills Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit learn). Experience building and deploying machine learning models into production environments. Hands on experience working with large language models (LLMs), transformers, vector databases ...

Preferred Experience Familiarity with containerization tools like Docker or Kubernetes . Knowledge of SQL and NoSQL databases. Exposure to AI frameworks such as PyTorch, TensorFlow, or LangChain . Previous project work involving cloud-native architecture. Cybersecurity Academy Internship: Are you ready to go beyond the textbook The Dark Wolf ...

related field (or equivalent experience) 2+ years of experience in AI/ML development Proficiency in Python and Common AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with data processing and analysis (SQL, Pandas, etc) Understanding of APIs and system integration Strong problem solving and analytical skills ...

communication Implement best practices for data governance, security, and MLOps on GCP Proficiency with Python and common AI/ML frameworks such as TensorFlow, PyTorch, JAX, scikit learn, and Hugging Face libraries Knowledge of MLOps and LLMOps practices-including CI/CD for models, model registry/versioning, feature ...

professional experience delivering advanced AI/ML solutions in industry or engineering environments. Strong expertise in Python and AI/ML libraries: PyTorch, TensorFlow, Scikit‐Learn, Keras, NumPy, Pandas, JAX, XGBoost, PyTorch Geometric, OpenCV, Transformers, LangChain, Pinecone . Proven hands‐on experience deploying models in production and building scalable ...

Scala Familiarity with SQL and working knowledge of query optimization for large datasets AI/ML Frameworks & Tools Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Strong understanding of machine learning algorithms, deep learning, and data modeling techniques Enterprise Software & Architecture Experience designing or contributing ...

learn, PyTorch, and XGBoost. Proven experience designing robust ML pipelines, leveraging tools like MLflow or equivalent. Strong command of ML frameworks (e.g., scikit-learn, TensorFlow, XGBoost, PyTorch). Hands-on experience deploying models in cloud-based environments (AWS, GCP, Azure, and Databricks). Proven ability to manage ...

understanding of algorithms and data structures. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development. 3+ years building production-ready ML infrastructure including data pipelines, training/inference workflows, and deployment automation. Solid understanding ...

equivalent experience (e.g., GitHub projects, personal portfolio). Strong programming skills in Python (preferred), Java, or C++. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proficiency in data manipulation and analysis using Pandas, NumPy, and SQL. Experience with cloud platforms (AWS, Azure, Google Cloud, OpenAI ...

Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying models and AI services in cloud or enterprise environments (AWS, Azure ...

visualization tools for reporting and decision-making. Document code, models, and processes for transparency and reproducibility. Qualifications Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong skills in data manipulation (Pandas, NumPy, SQL). Experience with workflow orchestration (Airflow, Spark, or similar). 3-5 years ...

architectures. Expertise in transformer architectures (e.g., GPT, BERT) and text preprocessing/feature engineering. Strong programming skills in Python and ML frameworks such as TensorFlow and/or PyTorch. Proficiency with NLP libraries and tooling (e.g., Hugging Face Transformers). Experience with MLOps tools and workflows (MLFlow, Kubeflow ...

machine learning, deep learning, and NLP Hands-on experience with LLMs/Generative AI (e.g., GPT, Llama) Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience with cloud platforms (AWS, Azure, or GCP AI services) Strong knowledge of data engineering (ETL pipelines, data lakes, streaming ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock). Experience with Microsoft Bot Framework ...

building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems Familiarity with API integrations and data acquisition pipelines Experience ...

closely related field. Expert-level proficiency in Python (primary); experience with R is a plus. Hands-on experience with major ML frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM implementation/fine-tuning (BERT, GPT-style models, LLaMA/Ollama, or equivalents). Strong proficiency in data manipulation and analysis ...

OpenAI API Experience with Apache Spark, Kafka, or modern data stack tools. Knowledge of NLP techniques, word embeddings, tokenization, and vector mathematics. Familiarity with TensorFlow, PyTorch, or Hugging Face Familiarity with cloud platforms (AWS, GCP, Azure), CI/CD, Docker, and Kubernetes. Key Responsibilities Design and build robust ...

manage model deployment using Kubernetes/OpenShift and MLOps principles. Technical Requirements Core Programming: Expert-level Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, FastAPI, LangChain, LlamaIndex). Generative AI: Deep experience with LLMs (Gemini, OpenAI, Claude, Llama) and evaluating model safety/performance via Guardrails. Data Science: Strong ...

years of software engineering experience, with at least 2 years in applied ML or AI systems Expertise in Python and popular ML libraries (TensorFlow, PyTorch) Familiarity with Agentic Frameworks (LangGraph, LangChain, CrewAI) Hands-on experience building with LLM APIs (OpenAI, Anthropic, Bedrock, etc.) in production. Practical knowledge of evaluation ...

backend (Node.js, Python/Flask, FastAPI) and frontend (React, Next.js, Vue) fundamentals ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Proven ability to build data-secure, privacy-compliant infrastructure Product-minded: you think ...

workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure ...

years of experience developing and deploying machine learning models in production. Proficiency in Python (or R), SQL, and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Experience working with cloud technologies, particularly AWS (e.g., S3, Glue, Timestream, Bedrock, Nova, sageMaker). Strong analytical skills and ability to interpret ...

serving for real-world applications used by real people. Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks. Experience ...