Salary
$90k – $168k per year
Location
Remote (United States)
Visa
green card filings: 7
Employment
Full-Time
Removed from the employer's board on Nov 6, 2026. First seen by Alion on Nov 6, 2026. IBM scores A on the Alion truth index.
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IBM is an American technology company whose roots go back to the 1911 formation of the Computing-Tabulating-Recording Company, and which has been headquartered in Armonk, New York for decades. It defined mainframe computing, the personal computer standard and much of enterprise data processing, and today concentrates on hybrid cloud built around Red Hat, enterprise AI through the watsonx platform, consulting services and the mainframe and storage systems that still run the world's largest transaction workloads. The company also runs one of the leading quantum computing programmes and consistently ranks among the largest recipients of United States patents.
Note: The job is a remote job and is open to candidates in USA. IBM hires an ML/AI Engineer - Consultant to build reliable software that applies machine learning and modern AI to business problems. The role includes implementing and validating ML/AI components, using AI developer tools responsibly, and communicating progress while connecting technical solutions to business needs.
Responsibilities
- Build ML/AI components: implement models, features, and application logic against clear specifications, choosing appropriate methods from established approaches
- Engineer for quality: write clean, readable, tested code; use version control, code review, and the team's standards as a matter of habit. Get the details right and verify your own work against acceptance criteria before it's called done
- Evaluate & validate: measure model/solution performance with the right metrics and confirm outputs are correct, and not just that the code runs
- Accelerate with modern AI: use LLM/agentic tools (e.g., Claude, Copilot) to move faster, while reviewing and validating everything the AI produces
- Communicate: clearly present your results and progress to the team; flag blockers and slippage early
- Bridge Business and Technology: Translate requirements, evaluate against business metrics
Skills
- Bachelor's Degree
- Working knowledge of core ML concepts and common frameworks (e.g., scikit-learn, PyTorch/TensorFlow); able to apply them to defined problems
- Able to work with data, interpret results, and identify relevant features
- A track record of delivering assigned work reliably and accurately
- Ability to interpret statistical data and identify relevant features to inform solution development
- Exposure to LLM/agentic developer tools and prompt basics. Use Claude, Copilot, LLM agents for acceleration
- Proficiency in Python (or similar); comfortable with version control, testing, and code review. You care about correctness and readable, maintainable code
- Explains technical work clearly to teammates and non-experts, and is starting to connect the "why" (business need) to the "how" (technical solution)
- You must have the ability to work without a need for current or future visa sponsorship
Benefits
- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
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