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Intermediate AI Engineer at Enable Data Incorporated
Bengaluru, karnataka, India -
Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AI Engineering, Machine Learning, Data Collection, Feature Engineering, Model Training, Hyperparameter Tuning, Model Evaluation, Backend Systems, Azure, Databricks, AI Applications, Mosaic AI, Software Engineering, Distributed Systems, Python, Scala

Industry

IT Services and IT Consulting

Description
AI Engineer Primary Responsibilities: Over all 5 + Years Relevant 2+ Years of Develop and improve the AI agentic frameworks that allow AI agents to work together to achieve complex tasks. Develop novel data collection, fine-tuning, and AI technologies that achieve optimal performance on specific tasks and domains. Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration. Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions Build scalable, reusable backend systems to support AI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance. Hands-on programming experience with at least one modern language such as Python, Scala Experience contributing to the architecture and design of large-scale distributed systems and/or ML systems and tools Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Experience building AI Agents using Azure Copilot Studio or Mosaic AI Agent Framework Strong in Azure and Databricks AI/ML services with experience building AI applications Prior experience in developing AI/ML framework with Mosaic or open-source ML software is an advantage.
Responsibilities
The AI Engineer will develop and improve AI frameworks for collaborative AI agents and design ML pipelines for data processing and model evaluation. They will work with cross-functional teams to deliver impactful AI solutions and build scalable backend systems.