ML Generalist

Important Information

ML Generalist

Location: Bangalore

Experience: 5 -7 years 

Job Mode: Full-time

Work Mode: Hybrid                

Job Summary

McAfee is seeking a ML Generalist to play a pivotal role in shaping the future of our consumer journey through cutting-edge Machine Learning (ML) solutions for pricing and recommendations. Join us and make a tangible difference in the lives of our customers by developing innovative solutions that deliver personalized experiences and optimize value.

Responsibilities and Duties

• Ability to attend meetings and discussions during overlapping XXXX Standard Time (XST) hours (must-have).
• Full Stack ML acumen to conceptualize, design, and implement state-of-the-art ML models for dynamic pricing strategies and personalized product recommendations.
• Develop, implement, and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value
• Engineer and maintain large-scale consumer behavioral feature stores while ensuring scalability and performance.
• Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment.
• Collaborate with cross-functional teams (Marketing, Product, Sales) to ensure your solutions align with strategic objectives and deliver real-world impact.
• Create algorithms for optimizing consumer journeys and increasing conversion and monetization.
• Design, analyze, and troubleshoot controlled experiments (Causal A/B tests, Multivariate tests) to validate your solutions and measure their effectiveness.
• Agile development mindset, appreciating the benefit of constant iteration and improvement.
• Focus on business practicality and the 80/20 rule; very high bar for output quality but recognize the business benefit of "having something now" vs "perfection sometime in the future.”

Qualifications and Skills

• Master's Degree / Ph.D in Machine Learning, Statistics, Data Science or related quantitative fields preferred.
• 3 to 5 years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence.
• Proficiency in using casual inference, uplift modeling, splines, support vector machines, look-alike modeling, model stacking, ensembles, embedding-based modeling etc.
• Proficient in Python, SQL, intermediate data engineering skill set with tools, libraries, or frameworks such as PySpark, Hadoop, Hive and Big Data technologies, scikit-learn, pandas, numpy, PyTorch etc.
• Experience with various ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, etc.
• Experience in building industry-standard recommender systems and pricing models.
• Experience in MLOps, ML Engineering and Solution Design.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.  

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.