Senior Machine Learning Engineer - LLM Models

Job Description - Fundamental knowledge of supervise and unsupervised learning and their applications inreal world business scenarios. - Familiarity with End-2-End Machine Learning model development life cycle. - Experience in creating data processing pipelines and API development (Fast API). - Experience with deploying and maintaining ML/DL models in production,model monitoring, and knowledge of concept/data drift, model reproducibility, code, model, and data versioning. - Experience with SQL and NoSQL, MLflow, GitHub, docker, Kubernetes, ELK, or similar stack. - Hands on with text and image processing: cleaning, transformations, and data preparationfor modelling. And should be comfortable with libraries like Pandas, NumPy, OpenCV, PIL, Spacy, transformers etc. - Should have working knowledge of machine learning frameworks like Scikit learn, PyTorch/ Tensorflow/Keras. - Experience with cloud computing platforms like GCP and AWS. - Should understand LLMs, Open AI API, model fine-tuning and prompt engineering. - Exposure to CI/CD principles and associated tools. Minimum Relevant Expr: 4-5Yrs AI/ML 1. ML: Algorithms 2. Model Ops: Deployment, Monitoring, Versioning 3. Data Engineering: ETL, FastAPI, Pipeline Development 4. Tooling Proficiency: Docker, Kubernetes, MLflow 5. Frameworks: Scikit-learn, TensorFlow, PyTorch Notice Period: Less than 15 Days, Immediate Preferred MUST be from Product Based organization. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/8/2025