AI / ML Engineer

About Client :

Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways : Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.

Job Title : AI / ML Engineer

Location : Pan India

Experience : 6+ yrs

Job Type : Contract to hire

Notice Period : - Immediate joiner

Job Description : Responsibilities :

• Model Quality Assessment : Evaluate the quality of AI model responses that include code, machine learning, AI, identifying errors, inefficiencies, and non-compliance with established standards.
• Code Annotation and Labeling : Accurately generate, annotate and label code snippets, algorithms, and technical documentation according to project-specific guidelines.
• Review and Feedback : Provide detailed, constructive feedback on model and other outputs
• Comparative Analysis : Compare multiple outputs and rank them based on criteria such as correctness, efficiency, readability, and adherence to programming best practices.
• Data Validation : Validate and correct datasets to ensure high-quality data for model training and evaluation.
• Collaboration : Work closely with data scientists and engineers to identify new annotation guidelines, resolve ambiguities, and contribute to the overall project strategy.

Qualifications :

Preferred Qualifications :