Hands-on programming experience with modern languages like Python or Scala., Experience in architecture and design of large-scale distributed systems or ML systems., Familiarity with software engineering methodologies including coding standards and testing., Strong knowledge of Azure and Databricks AI/ML services..
Key responsabilities:
Develop and enhance AI agentic frameworks for complex task achievement.
Create data collection and fine-tuning technologies for optimal performance.
Design and implement ML pipelines for data preprocessing and model evaluation.
Collaborate with cross-functional teams to deliver impactful AI solutions.
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Enable Data specializes in advanced data, application and cloud solutions working on cutting-edge projects driving innovation and transformation for our customers. We empower our customers to leverage modern solutions to deliver increased value across their business ecosystem. We help clients by providing consulting, managed project and staff augmentation services working with clients across various industries including healthcare, financial, media, insurance, and manufacturing.
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.
Requirements
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.
Required profile
Experience
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.