Machine Learning Engineer

Role: Machine Learning Engineer

Experience Level: 1 to 4 Years

Work location: Mumbai

Role Overview

Key Responsibilities

• Develop and deploy machine learning models (classification & regression) to solve real-world business problems.
• Work across the full analytics lifecycle: from gathering requirements to data preprocessing, modeling, validation, and implementation.
• Break down complex business problems into smaller, manageable components and solve them using ML/AA techniques.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Deliver descriptive, predictive, and prescriptive models tailored to business objectives.
• Work on digital transformation initiatives to drive efficiency and innovation through advanced data-driven solutions.
• Prepare and present data insights and analytical outcomes to stakeholders using visualization tools.
  

Required Skillset

• Strong proficiency in Python (or R) for data manipulation and model development.
• Hands-on experience with key Python libraries: numpy, pandas, seaborn, matplotlib, sklearn.
• Solid understanding of machine learning models and algorithms, especially in classification and regression.
• In-depth knowledge of algorithms such as Decision Trees, Random Forests, Bagging, Boosting (e.g., XGBoost, LightGBM).
• Understanding of fundamentals of statistics and how they apply to data modeling.
• Experience with Jupiter Notebook and Databricks for model development and experimentation.
• Practical experience in implementing ML models in real business scenarios.
• Ability to align ML/AA solutions with business goals and KPIs.
• Strong problem-solving and critical thinking abilities.
• Experience in stakeholder management.
• Proficiency in presentation and visualization tools: MS Power BI, MS Excel.