Senior Machine Learning Engineer - LLM Models (5-8 yrs)

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.