Senior Machine Learning Engineer ( Contractual )

Experience Level: 5+ years

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 Scikitlearn, 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.

Good to have:

• Experience with deep learning frameworks

• Strong experience in programming and statistics

• Excellent verbal and written communication skills

• Highly developed attention to detail

• Strong presentation skills

• Ability to work well in a team environment

• Excellent problem-solving skill