Senior Machine Learning Operations Engineer (India)
Emgage
Job Description & Responsibilities
Minimum 3 years of experience with transformer-based models and NLP, preferably in a healthcare context.
Robust track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe.
Proficiency in data science tools such as Pandas, Notebooks, Numpy, Scipy.
Experience with both relational and non-relational databases.
Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace.
Knowledge of model analysis and experimentation frameworks such as MLFlow, W&B;, and tfma is preferred.
Comfortable with a Linux environment and stringent data security practices.
Must pass a rigorous vetting process, including extensive background checks to ensure the highest standards of data security and integrity.
Skills: Machine Learning , NLP , Notebook
About Emgage
Required Skills
Job Details
Posted by
N/A
Posted on:
20 Jul 2026
About Emgage
More open roles
- Lead Machine Learning Engineer(7-11 Years)Airtel Digital · Gurugram, Haryana, India
- Lead Machine Learning Engineer(7-11 Years)Airtel Digital · Gurugram, Haryana, India
- Senior Data Scientist Machine Learning With Python MumbaiManek Consulting · Mumbai, Maharashtra, India
- Lead Machine Learning Engineer(7-11 Years)Airtel Digital · Gurugram, Haryana, India
- LLM Fine-Tuning / Machine Learning Engineer – FresherNoviqra Technologies Private Limited · Thane, Maharashtra, India
- Lead Machine Learning Engineer(7-11 Years)Airtel Digital · Gurugram, Haryana, India