Hiring For Machine Learning Engineer
2 weeks ago
Hi all
Were Hiring: Machine Learning Engineer
Were looking for a Machine Learning Engineer to join our Applied AI Lab and play a hands-on role in building intelligent, scalable, and production-ready ML systems. Youll work at the intersection of rapid prototyping and product-focused ML, contributing to both short-cycle innovation and long-term platform stability.
If you enjoy wearing multiple hats, thrive in fast-paced environments, and are excited about shaping how AI transforms healthcare and life sciences, this opportunity is for you.
Key Responsibilities
- Solve business problems with cutting-edge AI solutions, focusing on cost-efficiency and reliability.
- Collaborate with Lab leads, product designers, researchers, and architects to scope MVPs and define core capabilities.
- Build modular, reusable components for GenAI solutions and traditional ML pipelines (training, evaluation, deployment).
- Design and develop API-based AI tools and batch data transformation workflows.
- Implement end-to-end solutions for batch and real-time algorithms, including monitoring, logging, automated testing, and performance evaluation.
- Develop production-grade solutions following software engineering best practices.
- Support experimentation, A/B testing, and fine-tuning cycles.
- Stay updated on the latest advancements in Generative AI and related technologies.
- Document architectures, processes, and technical decisions.
Qualifications
- Bachelors/Masters in Computer Science, Engineering, Data Science, or related field.
- 4.5+ years of experience as an AI/ML Engineer.
- Strong knowledge of Python, SQL, and data processing languages.
- Solid understanding of ML concepts (GenAI, NLP, LLMs).
- Hands-on experience with open-source LLMs.
- Proficiency in software engineering fundamentals (unit testing, modular design, CI/CD).
- Strong experience with ML/AI frameworks (scikit-learn, PyTorch, TensorFlow, HuggingFace).
- Familiarity with cloud platforms (AWS/Azure), containerization (Docker), and version control (Git).
- Exposure to ETL tools (Spark, Airflow), PySpark, data modeling/warehousing, and CI/CD pipelines is a plus.
- Experience with vector embeddings, multimodal data, agentic workflows, and LLM fine-tuning/RAG pipelines.
- Exposure to healthcare/life sciences datasets (EHR, claims, clinical trials).
- Prior experience in startup or R&D environments preferred.
- Excellent communication and collaboration skills.
Apply Now
Interested candidates may send their resume to
Email Subject: Applying for Machine Learning Engineer
Please include the following details in your email body:
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bangalore, India Tata Consultancy Services Full timeTCS Hiring !! Senior Machine Learning Engineer Role** Senior Machine Learning Engineer Exp - 5-7 Please read Job description before Applying NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details: Name: Contact Number: Email ID: Highest Qualification in: (Eg....
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