ML Engineer
Location: Bangalore
Experience: 5 -7 years
Job Mode: Any/Remote
Work Mode: Remote
Job Summary
In this role, you will help drive personalized experiences for customers at Encora as a ML Engineer monitoring pipelines (batch and on-demand job types) to improve Pricing & Recommendations. Are you passionate about harnessing the power of data to drive impactful business decisions? Encora is seeking an ML Engineer 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).
- ML acumen to conceptualize, design, and implement state-of-the-art ML models for dynamic pricing strategies and personalized product recommendations.
- Strong grasp of understanding difference between data pipelines and ML pipelines.
- Develop, implement, and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value from our products.
- 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
- Bachelor's degree in computer science or related fields. Master or Ph.D in Machine Learning, Statistics, Data Science or related quantitative fields preferred.
- 5+ years of experience in one or more of the following areas: machine learning engineering (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence.
- Proficient in Python, SQL, intermediate data engineering skill set with tools, libraries, or frameworks such as MapReduce, Hadoop, Spark, Hive and Big Data technologies, scikit-learn, Keras, TensorFlow, PyTorch, PySpark etc.
- Experience in Databricks is preferred
- 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 a leader in personal security for consumers. Focused on protecting people, not just devices, Encora consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
We're serious about our commitment to diversity, which is why Encora prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
