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Epsilon Data Management
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Machine Learning Engineer

Machine Learning Engineer

Epsilon Data Management

2 - 3 years

4 - 5 Lacs

bengaluru

Posted:12 hours ago| Platform:

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Skills Required

computer science automation product engineering coding machine learning open source analytics monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Overview We are seeking an ML Engineer with 2-3 years of experience in machine learning and hands-on exposure to Generative AI. You will help build and optimize AI models, data pipelines, and LLM-powered solutions. The role is both engineering- and experimentation-focused, offering opportunities to work with cutting-edge GenAI tools in a production environment. Responsibilities ML & GenAI Development Build, fine-tune, and deploy ML and Generative AI models (LLMs, embeddings, transformers). Develop RAG workflows using tools like LangChain, LlamaIndex, Hugging Face, and vector databases (FAISS, Pinecone, Chroma). Use Amazon Q and GitHub Copilot to accelerate coding, model experimentation, documentation, and pipeline development. Implement data preprocessing, feature engineering, and unstructured data Data & Platform Engineering Develop and maintain scalable data pipelines using Python, SQL, and ETL/ELT tooling. Contribute to MLOps workflows including CI/CD, model deployment, monitoring, and automation. Collaboration & Problem Solving Work with product, engineering, and analytics teams to convert business needs into AI/ML solutions. Participate in PoCs, model evaluation, and iterative Communicate technical concepts effectively to both technical and non- technical stakeholders. Continuous Learning & Innovation Explore new GenAI tools, including AI-assisted development platforms like Amazon Q and GitHub Copilot, to improve development productivity. Keep up with advancements in LLMs, synthetic data, agentic systems, and emerging frameworks.

Qualifications Required Skills & Competencies

2-3 years in AI/ML and Generative AI solution Strong programming skills in Python and proficiency in Experience with ML frameworks (PyTorch, TensorFlow) and GenAI libraries (LangChain, LlamaIndex, Hugging Face). Hands-on exposure to AI-assisted coding tools such as Amazon Q and GitHub Copilot. Understanding of vector databases and embedding-based Familiarity with AWS (SageMaker, Bedrock, Lambda, S3). Understanding of MLOps concepts (CI/CD for ML, model monitoring, versioning). Strong communication and problem-solving Preferred Qualifications Experience with AI agents, function calling, or multimodal Exposure to enterprise data platforms Databricks AWS AI services, or cloud- native LLM hosting and orchestration is a plus. Work on MarTech/AdTech systems is a Contributions to open-source AI projects or involvement in developer Education Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or related fields. AWS or ML certifications are a Additional Information

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Machine Learning Engineer