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Position: Machine Learning Engineer
Location: Remote (India).
Type: Full-time (with BayOne).
Work Time: IST (02.00 PM to 10.00 PM IST).
Key Skills & Experience:
Proficiency with ML frameworks (TensorFlow, PyTorch)
NLP and Large Language Models (LLMs) experience
Strong understanding of generative models and applications
Programming skills in Python, Go, or Java
API development and model integration expertise
Familiarity with Docker, Kubernetes Knowledge of CI/CD pipelines, databases(MongoDB), data lakes, or real-time data processing tools
BayOne is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class. This job posting represents the general duties and requirements necessary to perform this position and is not an exhaustive statement of all responsibilities, duties, and skills required. Management reserves the right to revise or alter this job description.
Job ID: 141070219
Skills:
Tensorflow, Machine Learning, Pytorch, Azure, Google Cloud, Python, AWS, scikit-learn, Ai
Skills:
Sql, Tensorflow, Nlp, Git, Pytorch, Docker, Rest Apis, Python, LangChain, Agentic AI frameworks, LLMs, scikit-learn, cloud platforms, vector databases, prompt engineering, MLOps tools, ML frameworks, RAG pipelines, containerized environments
Skills:
Tensorflow, Pytorch, Devops Tools, Python, AWS, LangChain, embeddings, vector databases, Pinecone, transformer models, prompt engineering, Milvus, ML frameworks, LlamaIndex
Skills:
BigQuery, Cloud Storage, tool integration, embeddings, Prompt engineering, Agent loops, Agentic AI Basics, memory fundamentals, Coding Proficiency in Python, Pub Sub, GenAI Basics, Vertex AI, simple RAG concepts, GCP Services, familiarity with APIs and SDKs
Skills:
Machine Learning, Google Cloud Platform, PostgreSQL, Tensorflow, Pytorch, Docker, MySQL, MongoDB, Rest Apis, Azure, Kubernetes, Python, AWS, Scikit-learn, CI CD
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