Machine Learning AI Engineer

Payrate: $90.00- $95.00/hr. Summary: As a Machine Learning Data Scientist, you will collaborate closely with researchers, engineers, designers, and product partners to evaluate emerging AI technologies, build rapid prototypes, and develop Client machine learning solutions that make advanced research understandable, usable, and testable. You will design experiments, create evaluation frameworks, fine-tune and validate models, and help identify which technologies warrant broader investment and adoption. This role is ideal for a technically strong builder who enjoys ambiguity, learns quickly, and can move fluidly between research papers, datasets, prototypes, and production-scale systems. Success requires scientific rigor, strong product judgment, and a passion for turning breakthrough ideas into tools, workflows, and experiences that empower researchers, developers, 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. Qualifications: • 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. Pay Transparency: The typical base pay for this role across the U.S. is: $90.00- $95.00/hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, denmatch, lifeion benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,  life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary. You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions.  Calls may be recorded. Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying “STOP” to messages or by contacting privacy@aditiconsulting.com. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy . #AditiConsulting #26-03907