Note: The job is a remote job and is open to candidates in USA. TALENT Software Services is seeking an experienced Machine Learning Data Scientist – Research Translation & Prototyping to work 100% remotely. The role involves collaborating with researchers and engineers to evaluate AI technologies, build prototypes, and develop machine learning solutions that enhance research usability and accessibility.
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 to 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 companies 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 companies Research
Skills
- Bachelor's degree in a 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
- Experience with AI-assisted coding and rapid prototyping
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