Cavin Infotech - AI/ML Engineer - Data Modeling

Job Summary :

Key Responsibilities :

- Design and implement machine learning models to solve business problems.

- Collect, preprocess, and analyze large datasets from various sources.

- Build, test, and optimize models using frameworks like TensorFlow, PyTorch, or Scikit-learn.

- Deploy ML models using cloud services (AWS, Azure, GCP) or edge platforms.

- Collaborate with data engineers, data scientists, and product teams.

- Monitor model performance and retrain models as necessary.

- Stay up to date with the latest research and advancements in AI/ML.

- Create documentation and reports to communicate findings and model behavior.

Required Skills & Qualifications :

- 2+ years of hands-on experience in building and deploying ML models.

- Proficiency in Python (preferred), R, or similar languages.

- Experience with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost.

- Strong grasp of statistics, probability, and algorithms.

- Familiarity with data engineering tools (e.g., Pandas, Spark, SQL).

- Experience in model deployment (Docker, Flask, FastAPI, MLflow, etc.).

- Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, GCP AI Platform).