Machine Learning Engineer

Job Summary

We are looking for a hands-on Machine Learning Engineer with strong experience in time-series forecasting and end-to-end ML system development.

This is a production-focused role, requiring candidates who have built, deployed, and maintained ML models on real-world data.

Key Responsibilities

1. Build end-to-end ML pipelines (data model deployment monitoring)
2. Develop time-series forecasting models (e.g., LSTM, ARIMA, Prophet)
3. Perform feature engineering on time-series data (lag features, rolling statistics, derived features)
4. Work with large datasets using Python & SQL
5. Deploy models using APIs, batch jobs, or real-time inference systems
6. Monitor model performance and implement retraining pipelines
7. Deliver measurable business impact using ML solutions

Must Have (Strict Requirements)

Candidates must have hands-on experience in ALL below areas:

• Strong Python coding for ML (recent experience mandatory)
• Hands-on time-series forecasting (in last 2 years)
• Strong SQL for data extraction and pipelines
• Experience building end-to-end ML pipelines
• Experience in model deployment (API / batch / real-time systems)

Good to Have

• Experience in feature engineering for time-series data
• Experience with optimization / predictive systems
• Exposure to large-scale data (PySpark / Spark)
• Experience with industrial / system data use cases

Why Join CodeVyasa?

• Work on innovative, high-impact projects with a team of top-tier professionals.
• Continuous learning opportunities and professional growth.
• Flexible work environment with a supportive company culture.
• Competitive salary and comprehensive benefits package.
• Free healthcare coverage.