AddressGAMIFi is seeking an Engineering Leader who can head the Machine Learning Team in India and deliver next-generation machine learning solutions by influencing talented machine learning engineers.
If you get excited about solving highly impactful business problems by using machine learning on large datasets, in a creative and fast-paced open cultured environment, then you should consider applying for this position.
Position: Engineering Leader - Machine Learning
Role: Techno Managerial
Qualification: B.Tech / B.E from IIT /NIT or Ph.D in ML
Job Type: Permanent & Hybrid Model
Job Location: Pune
Industry: IT Product
Key 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.
What We look for ?
- 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
Mandatory:
- Academics from Tier 1 Academic Institutions.
- Experience in Products or Internet/eCommerce or Digital Advertising or Media Industry
