Job highlights

- 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
- 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

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 setting

Excellent problem-solving skill

📌 Senior Machine Learning Engineer (Bengaluru)
🏢 Jatah Worx India
📍 Bengaluru