251 to 275 of 775 Remote TensorFlow Jobs

programming languages such as Ruby, Python, Perl, and Java developing ML models and automation scripts. Experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, and Keras. Understanding of algorithms and techniques for supervised and unsupervised learning. Experience with tools for model monitoring, logging, and performance More ❯

AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and More ❯

engineers, data scientists, or similar) Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series, causal inference Experience with modern ML frameworks (PyTorch, TensorFlow, scikit-learn, CatBoost) Growth & Product Experience Experience with growth analytics, attribution modeling, or marketing effectiveness Understanding of user acquisition funnels and retention optimization Comfortable More ❯

detection models or security monitoring tools or the infrastructure to support these systems at scale Have experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch, and experience building machine learning models Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational More ❯

experience with advanced AI technologies, including Generative AI and Agent-based AI systems. Proficiency in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Extensive experience with NLP techniques and libraries (e.g., NLTK, spaCy, Gensim, Transformers). Experience with version control systems (Git) Experience with AWS. More ❯

related field 5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Fluent in English More ❯

related field 5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Fluent in English More ❯

of DevSecOps best practices in cloud-native environments • Hands-on experience with key tools and frameworks, including: o Python, NumPy, Pandas, scikit-learn o TensorFlow or PyTorch o Elasticsearch, Logstash, Kibana Education Requirement • Shall have at a minimum, a bachelor's degree in computer science, Information Technology Management or More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in More ❯

science trends and technologies. Ensure compliance with regulatory and internal policies. Qualifications Strong statistical background with expertise in Python; ML frameworks like Scikit-learn, TensorFlow, or PyTorch are a plus. Deep understanding of data analytics tools and techniques; strong SQL skills; experience with Snowflake and data visualization are essential. More ❯

have: 3+ years experience as a Data Scientist in a commercial setting Extensive Python experience with text analysis and ML packages like Spacy and TensorFlow Familiarity with MLOps and AWS Strong problem-solving and analytical skills Experience working directly with clients Excellent communication and stakeholder management skills Experience with More ❯

that is investing in its data capabilities! Requirements Experience developing and deploying machine learning models Skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn Hands-on experience with Databricks (either on AWS or Azure) Understanding of ML Ops principles is beneficial Confident working independently More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in More ❯

microservices using RESTful APIs and containerized services (Docker/Kubernetes). Integrate AI/ML models into applications using Python , leveraging frameworks such as TensorFlow , scikit-learn , or PyTorch . Collaborate with cross-functional teams including DevOps, Data Science, and UI/UX to implement features and optimize performance. More ❯

Engineers Hands-on ML development Qualifications Master's degree or PhD in computer science, statistics, math, physics, or similar through experience Experience with Python (TensorFlow/Keras/sklearn/PyTorch/) Previous experience in delivering ML projects High standards, disciplined, good communicator and team player Wanting to take More ❯

analytical solutions collaboratively. Commercial application of data science to generate business value. Experience with big data solutions on Cloud platforms. Programming skills in Python, TensorFlow, SQL. Knowledge of AI methodologies, including Generative AI and Reinforcement Learning. Experience with machine learning techniques such as regression, decision trees, and clustering. Benefits More ❯

or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to More ❯

or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to More ❯

to translate user needs into elegant front-end solutions AI Tool Development Develop and integrate AI/ML models into production systems using Python, TensorFlow, PyTorch, or similar frameworks. Build APIs and services that expose AI capabilities to internal and external consumers Data Tool Development Design and implement data More ❯

Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms More ❯

or equivalent industry experience. Strong proficiency in programming languages such as Python, C++, or similar. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, or OpenCV. Proven ability to develop and optimise deep learning models for image and video analysis. Understanding of medical imaging and video More ❯