Data Science Engineer

WorkVia; Bengaluru; Presencial; INR 450.000 - 650.000; Jornada completa

Descripción de la vacante

WorkVia in Bengaluru is hiring a Data Science Engineer to join an entry-level team focused on building AI/ML features for a Customer Data Platform. You will develop machine learning models, implement LLM-powered features, and collaborate with data engineers to deliver reliable ML pipelines.

Ideal candidates have a graduate degree in CS/DS/Statistics/Math, strong Python skills, and familiarity with SQL and REST APIs.

Formación

• 0–1 year of relevant experience or fresh graduates with project work.
• Strong Python and ML fundamentals required.
• Familiarity with REST APIs and SQL is essential.

Responsabilidades

• Build ML models for customer segmentation, churn and conversion prediction.
• Develop LLM-powered features using prompts, embeddings, and RAG.
• Write SQL queries for feature engineering and analytics workflows.
• Build and maintain model APIs using FastAPI.
• Assist in model deployment and monitoring.

Conocimientos

Python

SQL

Pandas

NumPy

Scikit-learn

LLM APIs

Git

Feature Engineering

ML Model Deployment

Analytical Workflows

Educación

Graduate degree (B.E./B.Tech./M.Tech./M.Sc. in CS/DS/Stats/Math)

Herramientas

Git

Descripción del empleo

# Data Science EngineerThird-Party job posted by WorkViaBengaluru## Job DescriptionAn entry-level opportunity for aspiring data science and machine learning professionals to build AI/ML features for a Customer Data Platform (CDP). The role involves developing machine learning models, implementing LLM-powered features, building model APIs, and collaborating with data engineers to deliver reliable, production-ready data and ML pipelines.Key Responsibilities:- Build machine learning models for customer segmentation, entity resolution, churn prediction, conversion prediction, and recommendation systems.- Develop LLM-powered features using prompts, embeddings, and Retrieval-Augmented Generation (RAG).- Write SQL queries for feature engineering and analytical workflows.- Build and maintain model APIs using FastAPI.- Support model deployment and monitoring.- Collaborate with data engineers to develop reliable data and ML pipelines.Requirements:- Qualifications: B.E., B.Tech, M.Tech, or M.Sc. in Computer Science, Data Science, Statistics, Mathematics, or a related field.- Strong Python programming skills and experience with Pandas, NumPy, and scikit-learn.- Good understanding of machine learning fundamentals and SQL.- Basic knowledge of LLM APIs, embeddings, and REST APIs.- Familiarity with Git and a willingness to learn.- Academic projects, internships, Kaggle competitions, or GitHub ML projects are an advantage.What to Expect:- Hands-on experience with real-world AI/ML projects.- Production-focused development.- Mentorship and opportunities to learn.- Ownership and collaboration in a fast-growing B2B SaaS environment.### Skills RequiredML Model DeploymentPythonSQLFeature EngineeringPandas### Additional SkillsNumPyScikit-learnLLM APIsGitAnalytical Workflows### Job Details* Domain Data Science* Experience 0 – 1 years* Job Type FULL TIME* Work Mode ON SITE* Languages English* Education Qualification GRADUATE* Posted At October 23rd, 2026* Last Date to Apply November 2nd, 2026