Manager - Software Engineering - Data Science/Machine Learning (10-15 yrs)

1 month ago

Pune, India iimjobs Full time

We have an incredible opportunity for an Manager - Machine Learning with the product based MNC based at Pune. We are looking for a Engineering Leader who can lead a team ML Engineers in India.

Role: Manager - Software Engineering (Data Science / ML)

Industry: Advertising / Publishing / Internet Media

Experience: 10+ yrs

Job Type: Permanent

Job Location: Pune

Qualification: BA/BS or MS Degree from IIT / NIT or Ph.D in ML

Requirements:

- Ability to collaborate with product and engineering leaders to deliver solutions with strategic planning across multiple functional groups.

- Proven ability to inspire, mentor, and develop team members to deliver value consistently.

- Good experience in software design and architecture.

- Good experience in building complex and scalable Machine Leaning solutions.

- Distinctive problem-solving skills and impeccable business judgment.

- Perform code and design reviews.

- Research, learn, design, and build scalable Machine Learning workflows.

- Demonstrate ownership and commitment.

- Demonstrate excellent verbal and written communication skills.

- Perform deep dive analysis to understand and optimize the key product KPIs.

- Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products.

- Conduct data analysis to make product recommendations and design A/B experiments.

- Partner with Product and Engineering teams to solve problems and identify trends and opportunities.

Prerequisite:

- BA/BS or MS degree with an emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences)

- 10 years of overall experience and hands-on experience with the design + implementation of Machine Learning models for solving business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib

- Experience with articulating product questions and using statistics to arrive at an answer.

- Experience with scripting in SQL - extracting large data sets and design of ETL flows.

- Work experience in an inter-disciplinary/cross-functional field

- Experience in Big Data (Spark, AWS, etc.) platforms and Advertising will be good to have.

- Deep interest and aptitude in data, metrics, analysis, trends and applied knowledge of measurement, statistics and program evaluation

- Capable of translating analysis results into business recommendations

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