Dear Candidate,
Greetings from Encora Innovation Labs Pvt Ltd! A Leading World Class SaaS Technology Product Engineering Company!
About ENCORA:
Encora, a product engineering and services company provides unmatched opportunities for professional development, benefits, total rewards, and an extraordinary caring culture. It’s a Warburg Pincus portfolio company with 30+ offices/ innovation labs and 9000+ talent strength worldwide. Encora works across domains like • FinTech • HealthTech • Security • Logistics & Supply Chain Security • Logistics & Supply Chain• Digital Commerce • Travel & Hospitality • Real Estate • LendTech. Encorians find a wide range of opportunities to grow with us, whether it is hands-on experience on high impact challenging projects, learning about top technologies, or helping others by sharing what they knowWe have long been recognized as a Great Place to Work. We strive to create an inclusive, caring culture in which people with diverse backgrounds and talents can be their absolute best.
https://www.youtube.com/watch?v=pMzBy7dxXQk
Why Encora?
Encora provides unmatched opportunities for professional development, benefits, total rewards, and an extraordinary caring culture.
What We Do?
We drive transformational outcomes for clients through our agile methods, micro-industry vertical expertise, and extraordinary people.
• Professional Development:
Encorians find a wide range of opportunities to grow with us, whether it is hand-on experience on high impact challenging projects, learning about top technologies, or helping others by sharing what they know.
• Benefits:
We care about you as a whole person. That is why, as an Encorian, you will receive a broad range of benefits, including health insurance, paid time off, and wellness programs designed to promote physical, emotional, and financial well-being.
• Total Rewards:
Encorians also receive competitive compensation. Innovative recognition programs reward your efforts and success throughout your career. We are proud to see you grow!
• Culture:
We have long been recognized as a Great Place to Work. We strive to create an inclusive, caring culture in which people with diverse backgrounds and talents can be their absolute best.
We're seeking a Machine Learning Engineer ready to tackle complex B2B commerce challenges through innovative data solutions.
● Maintain, improve, and monitor existing AI/ML models
● Design and implement feedback loop protocols for continual model updates and improvements.
● Support the development of frameworks and architectures for quickly deploying and maintaining data- driven products and services that are part of the Corcentric Intelligent Platform.
● Write clean, modular code to implement the end-to-end data pipeline inclusive of data extraction, data wrangling, data cleaning, feature engineering, model fitting, parameter tuning, and deployment.
● Label and prepare data for analysis, review data preparation and ETL code, and provide critical feedback on issues of data integrity.
● Identify, ingest, and enrich structured and unstructured data into datasets for analysis.
● Perform agile data science by applying advanced techniques (e.g., AI, ML, NLP, etc.)
● Analyze structured data and build ML models to perform classifications and predictions
● Analyze unstructured data with Natural Language Processing.
● Work on a portfolio of projects and establish a track record of successful results.
● Coordinate with the product and engineering teams to translate prototypes into technical solutions.
● Clearly articulate ideas and results to managers, key decision makers, and customers.
● Maintain up-to-date knowledge of industry trends, new techniques, analytic best practices, and emerging technologies.
· Graduate degree or PhD in Computer Science, data science or Engineering or equivalent experience
· 5+ years of experience with Python framework
· Proficient with ML such as regression, random forest, XGBoost
· Confident with automated testing and high release frequency.
· Prior experience with microservices (Docker, FastAPI/Flask)
· Possess a basic understanding of MLOps
· Possess the ability to work both independently and as part of a cross-functional team
· Highly inquisitive, motivated, self-driven, and an innovative thinker
· Prior experience with ML, AI in an enterprise setting
· Prior experience with AWS/Azure/Google cloud
· Broad understanding of databases (SQL, NoSQL, Elasticsearch, Redis, graph db)
· Experience with visualization software (Jupyter, Streamlit, Superset, PowerBI)
· Prior experience with applications using deep learning models