Machine Learning Engineer

2 weeks ago

IN MH Mumbai Eureka Quantiphi Full time ₹ 1,04,000 - ₹ 1,30,878 per year

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi

Role: Machine Learning Engineer

Experience Level: 1 to 4 Years

Work location: Mumbai

Role Overview:

We are looking for a Machine Learning Engineer to join our growing Data & Digital team. The role involves contributing to Advanced Analytics (AA), Machine Learning (ML), and data-driven projects aimed at improving business processes across various verticals. The ideal candidate should possess strong technical skills in Python, ML model development, and problem-solving, along with the ability to interact with business stakeholders.

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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

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