Data Scientist - AI Developer

Overview

Design and develop advanced AI/ML solutions to solve complex business problems, building scalable models, data pipelines, and intelligent systems, while contributing to complex initiatives, collaborating across global teams, and mentoring junior team members.

What you'll do

• Design, develop, and deploy machine learning models (e.g., regression, classification, ensemble methods) to address complex analytical problems.
• Represent the team in cross-functional engagements with business, engineering, and analytics stakeholders, providing technical leadership in AI solution design and implementation.
• Develop and maintain scalable data pipelines and ML workflows across modern data platforms (e.g., cloud-based environments, distributed processing systems).
• Apply organizational and third-party technologies to build complex AI-driven solutions, independently implementing end-to-end pipelines from data ingestion to deployment.
• Integrate technical expertise with business understanding to deliver impactful insights, collaborating with stakeholders to translate model outputs into actionable outcomes.
• Design, develop, test, and deploy data models, feature pipelines, and scoring systems ensuring performance, reliability, and scalability.
• Develop standards, reusable templates, and best practices for model development, feature engineering, and evaluation to ensure consistency and governance.
• Define scope, plans, and deliverables for assigned components, ensuring alignment with project objectives and timelines.
• Apply advanced subject matter knowledge, contribute to complex projects, and exercise independent judgment in resolving business issues and optimizing solutions.
• Build strong internal and external working relationships and provide mentoring and guidance to junior team members.

What you'll need

• Four-year or Graduate Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or any related discipline; or equivalent work experience.
• Typically 5–10 years of experience in machine learning, data science, or software engineering roles.
• Knowledge of Agile Methodology, Application Development, Machine Learning (Supervised & Unsupervised), Feature Engineering & Model Optimization, and Model Evaluation (Accuracy, Precision, Recall, F1 Score, ROC-AUC).
• Proficiency in Python and SQL.
• Knowledge of Distributed Computing (e.g., PySpark or similar), Data Engineering & ETL Pipelines, and API Development & Integration.
• Knowledge of Automation, Business Process & Requirements Analysis, and Debugging & Performance Optimization.
• Knowledge of Cloud Platforms (e.g., Azure, AWS, GCP) and Data Visualization (e.g., Power BI or similar tools).
• Knowledge of Software Development Lifecycle (SDLC).
• Effective Communication, Results Orientation, Learning Agility, Digital Fluency, and Customer Centricity.

Nice to have

• Preferred: Microsoft Azure AI Engineer Associate / Data Scientist Associate certification.
• Good to have: Databricks or equivalent platform certifications.
• Preferably in large-scale or enterprise environments.

Details

• Location: Bengaluru, Karnataka, India.
• Full time schedule; no shift premium (India).
• Part of Data & Information Technology.
• Impacts functional and cross-functional teams; works on complex problems requiring in-depth evaluation of technical feasibility, scalability, and business impact.