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Artificial Intelligence​/Machine Learning; AI​/ML Engineer

Remote / Online - Candidates ideally in
Mt Rainier, Mount Rainier, Prince George's County, Maryland, 20712, USA
Listing for: Base-2 Solutions
Remote/Work from Home position
Listed on 2026-02-12
Job specializations:
  • Engineering
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Artificial Intelligence/Machine Learning (AI/ML) Engineer
Location: Mt Rainier

Artificial Intelligence/Machine Learning (AI/ML) Engineer

Base-2 Solutions is seeking an AI/ML Engineer who designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models created should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. Responsible for building, training, fine‑tuning, and evaluating advanced language models. The ideal candidate will have hands‑on experience with state‑of‑the‑art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full‑stack development.

Required

Skills
  • Select appropriate data sets.
  • Perform statistical analysis.
  • Run machine learning algorithms.
  • Use results to improve models.
  • Train and retrain systems when needed.
  • Experience in working with various ML libraries and packages.
  • Run standard test and evaluation protocols.
  • Provide system integration oversight.
  • Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements.
  • Research and implement a broad range of AI and ML algorithms and tools.
  • Design or select appropriate data and knowledge representation methods.
  • Recognize software architecture, data modelling, and data structures.
  • Transform and convert data science prototypes into scalable solutions.
  • Verify data and model output quality.
  • Identify differences in data distribution that affect model performance.
Qualifications
  • Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
  • A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
  • Five (5) additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
  • Experience with standard machine learning frameworks, e.g., PyTorch, Tensor Flow.
Pay & Benefit Highlights Compensation
  • Above market fixed salary or hourly pay.
  • Up to $10,000 bonus for each referral.
  • Additional bonuses for exceptional performance, assisting with business development and company growth.
Health
  • 100% paid premiums for health insurance. Choose from over 80 gold‑level medical plans from Aetna, Care First, Kaiser, and United Healthcare. Choose from PPO, EPO, POS, HMO, and HSA‑compatible plans.
  • HSA and FSA options.
  • 100% paid premiums for dental insurance.
  • 100% paid premiums for vision insurance.
Income Protection
  • 100% paid premiums for short‑term disability.
  • 100% paid premiums for long‑term disability.
  • 100% paid premiums for accidental death & dismemberment.
  • 100% paid premiums for life insurance with a $200,000 max benefit.
Retirement
  • 8% company contribution to 401(k) with immediate vesting.
  • 401(k) pre‑tax and Roth options.
Leave
  • Up to 20 days of flexible paid time off (PTO).
  • 11 days of paid floating holidays.
Work‑Life Balance
  • Flexible work schedules including flex time and compressed work periods.
  • Remote work including partial or fully remote (contract and project‑dependent).

Equal Opportunity

Employer:

Base-2 Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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