Machine Learning Engineer

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Code Vyasa

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Azure NumPy Databricks PyTorch Pandas RNN AWS TensorFlow CNN

Job Description

Role Overview

We are seeking an experienced Data Scientist (Machine Learning) | Bangalore having 7+yrs to join our team at BestPeers. The ideal candidate will have strong expertise in building scalable ML models, applying statistical techniques, and driving data-driven decision-making across business functions. You will be responsible for the end-to-end ML lifecycle, from problem formulation to deployment.


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, develop, and deploy machine learning models for real-world business problems
  • Apply advanced statistical and analytical techniques to extract insights from large datasets
  • Perform data preprocessing, feature engineering, and model optimization
  • Build and evaluate models using regression, classification, clustering, and ensemble methods
  • Work with large-scale structured and unstructured datasets using SQL and Python
  • Implement model validation, monitoring, and performance tuning
  • Collaborate with cross-functional teams including product, engineering, and business stakeholders
  • Mentor junior team members and contribute to knowledge sharing within the team


Must-Have Skills

  • Strong expertise in Machine Learning (Regression, Classification, Clustering, Ensemble Methods)
  • Solid foundation in Statistics, Probability & Experimental Design
  • Proficiency in Python (NumPy, Pandas, Scikit-learn)
  • Strong experience with SQL & Large-Scale Data Handling
  • Expertise in Feature Engineering & Model Evaluation Techniques
  • Hands-on experience across the end-to-end ML lifecycle (build, validate, deploy)


Good-to-Have Skills

  • Experience with Deep Learning (CNN, RNN, Transformers)
  • Familiarity with TensorFlow / PyTorch
  • Exposure to Cloud Platforms (AWS / Azure / GCP)
  • Experience with Databricks & ML Pipelines
  • Knowledge of NLP / Generative AI
  • Strong mentoring and team collaboration skills


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.


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