Machine Learning AI Engineer

Aditi Consulting is seeking a Machine Learning AI Engineer who will collaborate closely with researchers, engineers, designers, and product partners to evaluate emerging AI technologies and develop machine learning solutions. The role involves designing experiments, creating evaluation frameworks, and fine-tuning models to empower researchers and customers.

Responsibilities:

• Fine-tune and improve a variety of sophisticated software implementation projects
• Gather and analyze system requirements, document specifications, and develop software solutions to meet client needs and data
• Analyze and review enhancement requests and specifications
• Implement system software and customize client requirements
• Prepare the detailed software specifications and test plans
• Code new programs to client’s specifications and create test data for testing
• Modify existing programs to new standards and conduct unit testing of developed programs
• Create migration packages for system testing, user testing, and implementation
• Provide quality assurance reviews
• Perform post-implementation validation of software and resolve any bugs found during testing
• Collaborate with Research teams to evaluate, adapt, and operationalize emerging AI and machine learning innovations into functional prototypes and experimental systems
• Design and execute quantitative and qualitative experiments that measure model performance, user engagement, research impact, and technology adoption
• Develop evaluation frameworks, benchmarks, and success metrics for foundation models, generative AI systems, multimodal experiences, and agent-based workflows
• Fine-tune, validate, and benchmark machine learning models using real-world datasets and emerging research techniques
• Build rapid prototypes and proof-of-concepts that help researchers, partners, and stakeholders assess the practical value of new technologies
• Stay current with advances in machine learning, generative AI, agentic systems, multimodal models, and evaluation methodologies, identifying opportunities to apply new capabilities across Research

Requirements:

• Bachelor's degree in technical field such as computer science, computer engineering or related field required
• 5-7 years' experience required
• Strong technical foundations in software engineering, machine learning, statistics, and experimental design
• Experience building data-intensive applications, machine learning systems, experimentation platforms, or AI-powered products
• Experience evaluating, debugging, and improving machine learning models, data pipelines, and AI-powered applications
• Experience in programming and experience with problem diagnosis and resolution
• Ability to thrive in ambiguous, rapidly changing environments where requirements evolve through experimentation and discovery
• Experience with foundation models, generative AI systems, multimodal models, agentic workflows, retrieval-augmented generation (RAG), or related AI technologies