Hire the AI talent
serious teams
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Find reviewed AI talent across LLMs, MLOps, Prompt Engineering, and Automation — or browse remote AI jobs at fast-growing companies. Post a job, interview top talent via video, and hire the right person for your team.

Talent

Meet the people building AI.

AI specialists focused on shipping real results — ready to contribute from day one.

Kavya B. cover
Kavya B.
Open to work

Kavya B.

AI & Machine Learning Engineers

Analytical AI Quality Analyst and Data Professional with experience in LLM evaluation, RLHF-aligned evaluation, AI product QA, data analysis, prompt engineering, machine learning, and business intelligence. Experienced in evaluating AI systems for grounding, relevance, personalization, factual accuracy, usability, and response quality through structured multi-turn testing, red-teaming, and evidence-based assessment with strong attention to detail. Proficient in Python, SQL, Power BI, Tableau, machine learning, NLP, and statistical analysis, with hands-on experience transforming complex datasets into actionable insights. Strong track record of identifying quality gaps, designing evaluation scenarios, improving reporting efficiency, and collaborating cross-functionally across technical and QA workflows.

Python Sql Pandas Power Bi
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Dzunisani M. cover
Dzunisani M.
Open to work

Dzunisani M.

AI & Machine Learning Engineers

AI Workflow Developer and Technical Business Analyst skilled in Python, SQL, and Hugging Face NLP. AWS Certified Cloud Practitioner with expertise in API integration and cloud deployment. I bridge business needs and technical solutions—mapping workflows, gathering requirements, and building AI-driven automation that reduces manual effort and accele

Python Sql Pandas Hugging Face
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Koushik V. cover
Koushik V.
Open to work

Koushik V.

MLOps & AI Infrastructure

I am an AI engineer focused on the building the agent, scalable cloud infrastructure and data layer of the system. Driven by a deep curiosity to understand how things work at a fundamental level, I routinely ask second- and third-level questions to uncover architectural edge cases before they become issues. Throughout my tenure, I have worked across the entire stack - building data pipelines and cloud infrastructure on AWS, deploying multi-agent AI workflows, and leveraging tools like Amazon SageMaker to fine-tune and host open-source models for cost-effective data extraction.

Python Pytorch Sql Aws
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Aditya J. cover
Aditya J.
Open to work

Aditya J.

AI & Machine Learning Engineers

Applied AI Engineer with 5+ years of experience at Microsoft building and evaluating enterprise NLP and LLM systems. Currently, provide AI, data science, and math expertise across independent engagements, supporting LLM training, AI engineering and model improvement for frontier AI labs and AI organizations. Bachelor’s degree in Math and Computing.

Python Pytorch Langchain Scikit-Learn
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  • Talent reach Standard listing
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  • Auto-refresh —
  • Video interview 15 min
  • Post duration 14 days
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Growth

$49 / post

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  • Talent reach Emailed to matching talent
  • Pinned in job search 30 days
  • Number of posts 1 post
  • Applications Up to 100
  • Candidate matching New candidates daily
  • Auto-refresh Every 15 days
  • Video interview 120 min
  • Post duration Until you close it or it fills up
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One-time payment · use within 12 months

Five Growth posts for teams that hire several times a year, at the lowest price per post.

  • Talent reach Emailed to matching talent
  • Pinned in job search 30 days per job
  • Number of posts 5 jobs
  • Valid for 12 months from purchase
  • Applications Up to 100 per job
  • Candidate matching New candidates daily
  • Auto-refresh Every 15 days
  • Video interview 120 min
  • Post duration Until you close it or it fills up
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