Machine Learning Engineer

Job Description

We are looking for a skilled

Machine Learning Engineer

ll

3-5 years

ll

Noida

with strong hands-on experience in Python, time-series forecasting, and end-to-end ML systems. The role involves building and deploying scalable ML solutions for real-world industrial use cases, with a focus on data-driven decision-making, forecasting, and optimization.

About Us

CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are a team of 550\+ engineers, driving innovation across Product \& Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions.

Key Responsibilities

• Design, build, and deploy end-to-end ML pipelines (data → model → deployment → monitoring)
• Develop and implement time-series forecasting models for prediction and trend analysis
• Build and manage data pipelines using Python and SQL for reliable data processing
• Perform feature engineering on structured and time-series datasets (lag features, rolling statistics, etc.)
• Train, evaluate, and optimize ML models for performance and scalability
• Deploy ML models into production via APIs (FastAPI/Flask), batch jobs, or real-time systems
• Implement model monitoring, drift detection, and retraining pipelines
• Work with large-scale datasets and ensure efficient data handling
• Collaborate with cross-functional teams to translate business problems into ML solutions
• Deliver measurable business impact through data-driven insights and ML models

Must-Have Skills (Non-Negotiable)

• Strong programming skills in Python
• Hands-on experience in Machine Learning (model building \+ training)
• Strong expertise in Time-Series Forecasting / Predictive Modeling
• Experience with SQL for data extraction and pipeline building
• Experience building end-to-end ML systems
• Hands-on experience in model deployment (APIs / batch / real-time)
• Strong understanding of data preprocessing and feature engineering
• Ability to explain business impact with measurable outcomes

Required / Preferred Skills

• Experience with feature engineering techniques (lag features, rolling stats, seasonality)
• Experience working with large datasets / data pipelines
• Knowledge of MLOps concepts (model monitoring, retraining, versioning)
• Familiarity with FastAPI / Flask / REST APIs
• Experience with PySpark / Databricks / Big Data tools (good to have)
• Exposure to industrial / operational / supply chain / energy use cases (preferred)

Good to Have (Optional)

• Experience with cloud platforms (Azure / AWS)
• Knowledge of optimization techniques or reinforcement learning
• Exposure to real-time data streaming (Kafka, etc.)

What We Are Looking For

• Strong coding and problem-solving skills
• Ability to work with real-world data and production systems
• Hands-on experience rather than theoretical knowledge
• Clear understanding of end-to-end ML lifecycle
• Ability to communicate solutions and business impact effectively

Why Join CodeVyasa?

• Work on innovative, high-impact projects with leading global clients.
• Exposure to modern technologies, scalable systems, and cloud-native architectures.
• Continuous learning and upskilling opportunities through internal and external programs.
• Supportive and collaborative work culture with flexible policies.
• Competitive salary and comprehensive benefits package.
• Free healthcare coverage for employees and dependents.