26 to 50 of 69 Remote TensorFlow Jobs

Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of experience building, scaling, and optimizing ML systems 2+ ...

Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of experience building, scaling, and optimizing ML systems 2+ ...

Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of experience building, scaling, and optimizing ML systems 2+ ...

Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of experience building, scaling, and optimizing ML systems 2+ ...

Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of experience building, scaling, and optimizing ML systems 2+ ...

Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of experience building, scaling, and optimizing ML systems 2+ ...

Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of experience building, scaling, and optimizing ML systems 2+ ...

Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of experience building, scaling, and optimizing ML systems 2+ ...

Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of experience building, scaling, and optimizing ML systems 2+ ...

Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of experience building, scaling, and optimizing ML systems 2+ ...

models for fraud detection, credit scoring, and customer segmentation. Key Skills: Languages/Tools: Python, SQL, PySpark, R, SAS ML/AI: Scikit-learn, TensorFlow, NLP, Time-Series Forecasting Data Engineering: ETL, Data Wrangling, Data Pipelines Cloud Platforms: AWS, Azure, GCP (Data Services) Visualization: Power BI, Tableau, Matplotlib, Seaborn ...

quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience ...

quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience ...

quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience ...

cloud Integrating vector databases, embeddings and semantic search Collaborating with engineering, data and product teams What you'll need: Strong Python and experience with TensorFlow, PyTorch or scikit-learn Hands-on LLM work—prompt engineering, modern NLP techniques AWS experience: SageMaker, Bedrock, S3, Lambda, CloudWatch Understanding of deep learning ...

language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ? Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. ...

Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution ...

Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed ...

mission critical defense environment. Basic Qualifications: • Bachelor's degree in engineering • 2 years of experience utilizing Python for development and machine learning (e.g. TensorFlow, PyTorch, LangChain) • Proficiency in Python and foundational machine learning concepts, with the ability to independently develop, train, and evaluate models • Experience with AI/ ...

roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems . Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI . Experience with vector databases and retrieval-based architectures. Proven experience designing and operating large-scale ML systems in production ...

performance What you will bring Hands-on experience delivering AI/ML solutions into production environments Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), and cloud platforms (Azure preferred) Experience operationalising models using tools such as Azure ML, Databricks, MLflow Understanding of data engineering, data governance, and lakehouse architectures ...

with product and domain experts to translate requirements into robust ML solutions. Who You Are Strong proficiency in Python and experience with PyTorch or TensorFlow . Practical experience with LangChain, LangGraph, AutoGen , or similar LLM/agent frameworks. Skilled in prompt engineering , integrating foundation model APIs, and LLM fine ...

with product and domain experts to translate requirements into robust ML solutions. Who You Are Strong proficiency in Python and experience with PyTorch or TensorFlow . Practical experience with LangChain, LangGraph, AutoGen , or similar LLM/agent frameworks. Skilled in prompt engineering , integrating foundation model APIs, and LLM fine ...

have skills in areas such as; Technical skills; Strong programming skills in JavaScript, TypeScript and React Experience with AI/ML frameworks (e.g. TensorFlow and PyTorch etc) A genuine interest in how AI can be used within the work place Ability to design and deliver AI solutions at scale ...

related field. Deep expertise in training foundation models, including multimodal LLMs and video models, with hands on experience in frameworks like PyTorch, TensorFlow, or JAX. Strong understanding of scalable training techniques, such as data parallelism, model parallelism, and efficient inference on edge devices (e.g., mobile, IoT). Demonstrated ability ...