Description

Key Skills: Machine Learning, Pytorch, SQL, Python, LLM, AI/ML, NLP, CICD, Docker

Roles and Responsibilities:

• Develop, deploy, and optimize machine learning models for prediction and forecasting on tabular and text datasets.
• Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support model development.
• Build and deploy end-to-end ML pipelines, including training, evaluation, and serving in production environments.
• Implement model monitoring and maintenance to ensure robustness, scalability, and performance over time.
• Integrate feedback loops into prediction workflows and document methodologies for technical and non-technical stakeholders.

Skills Required:

• 2-5 years of relevant experience in applied machine learning and model deployment.
• Machine learning model development and optimization for structured and unstructured data.
• Python and PyTorch for building and training ML models.
• SQL proficiency for working with structured datasets.
• Production deployment experience with ML pipelines and model serving practices.

Good to Have:

• Docker for containerized ML deployments.
• NLP experience, including production use of LLM-based approaches.
• CI/CD for ML workflows and model release automation.
• Experience with AI/ML and LLM implementations in real-world systems.

Education: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or related fields

Key Skills

Education

Any Graduate