AI/ML Engineer

Location: Chennai, Tamil Nādu, India

Department: Software Engineering

Work Location: onsite

Company:

Job Area:

General Summary:

• Develop, fine‑tune, and deploy ML and NLP models using TensorFlow, PyTorch, and Scikit‑learn.
• Apply advanced NLP methods including Transformers, BERT‑based models, and LLM fine‑tuning.
• Build Retrieval‑Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, FAISS, Milvus, etc.
• Work with model registries and cloud ML environments (HuggingFace, AWS Sagemaker, Azure ML).

• Design and implement scalable ETL and data ingestion pipelines using SQL, NoSQL, and big‑data frameworks (Spark, Hadoop, PySpark).
• Build efficient data models, schema designs, and storage strategies (PostgreSQL, MongoDB, Cassandra, etc.).
• Ensure data quality, validation, and governance across distributed systems.
• Own documentation and architecture of data flows.

• Develop scalable backend components and services using Python (FastAPI, Flask, Django).
• Automate workflows, model pipelines, and data processing using Pandas, NumPy, SQLAlchemy.
• Integrate ML solutions into production systems with clean, modular, well‑documented code.

• Work independently to design, build, and deliver complete ML/Data solutions.
• Partner with cross‑functional teams including systems, hardware, architects, and test teams.
• Translate business requirements into technical approaches and drive execution.

• Bachelor’s/Master’s degree in Computer Science, Engineering, or relevant field.
• 1-3 years of experience across ML, NLP, and Data Engineering.
• Expert‑level Python programming with hands‑on experience in backend/API development.
• Strong knowledge of ML/NLP algorithms, LLMs, and RAG frameworks.
• Proficiency in SQL and familiarity with SQL/NoSQL databases.
• Experience with big data tools such as Spark or Hadoop.
• Experience with cloud platforms (AWS, Azure).
• Strong communication, analytical, and problem‑solving skills.
• Ability to work independently and take end‑to‑end ownership of solutions.

Minimum Qualifications:

1-3 years of experience across ML, NLP, and Data Engineering.

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