2–5 yrsBengaluruOn-siteDirect career pageEst. 10–20 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop, deploy, and optimize machine learning models for prediction and forecasting on tabular and text data.
- Build and maintain end-to-end ML pipelines including model training, evaluation, deployment, and performance monitoring in production.
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions and document methodologies for technical and non-technical stakeholders.
Minimum Requirements
- 2-5 years of hands-on experience in developing and deploying machine learning projects.
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or related field.
- Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
- Experience with model deployment tools (Docker, Flask, FastAPI) or cloud ML services (AWS SageMaker, GCP Vertex AI).
Ideal Candidate Profile
- Experience working with both structured and unstructured data and performing feature engineering and EDA.
- Exposure to Computer Vision (OpenCV, YOLO) and NLP/LLMs (Hugging Face, GPT, BERT) is a significant advantage.
- Familiarity with MLOps practices including CI/CD pipelines and model monitoring frameworks (e.g., MLFlow).