AI & Machine Learning Professional

About the Role

We're building the future of AI — and we're looking for talented people across the entire machine learning spectrum to join us. Whether you're just starting your career or you're a seasoned expert, if you're passionate about AI, we want to hear from you.

This is a flexible, multi-disciplinary role that spans machine learning engineering, generative AI, research, computer vision, NLP, and data science leadership. We'll tailor the position to your strengths, interests, and experience level — so you can do the best work of your career.

What You Might Work On

• Design, build, and deploy machine learning models at scale
• Develop and fine-tune large language models (LLMs) and generative AI systems
• Build and maintain MLOps pipelines, tooling, and infrastructure
• Conduct applied research in computer vision, NLP, or related areas
• Translate business problems into data science solutions
• Lead and mentor team members (for senior/managerial candidates)
• Collaborate cross-functionally with product, engineering, and business teams

Who We're Looking For

You might be a great fit if you have experience inany of the following:

• Machine Learning Engineering / MLOps
• Generative AI / LLM development
• AI Research
• Computer Vision and/or NLP
• Data Science or Data Science Management

Experience levels welcome:

• Entry-level / New grads — strong fundamentals, projects, coursework, or internships
• Mid-level — 2–5 years building ML/AI systems in production
• Senior / Lead — deep technical expertise and track record of impact
• Manager / Director — experience leading data science or ML teams

Minimum Qualifications

• Background in computer science, statistics, mathematics, engineering, or a related field (degree optional — skills matter more)
• Familiarity with at least one of: Python, ML frameworks (PyTorch, TensorFlow), data tooling
• Curiosity, willingness to learn, and a collaborative mindset
• Strong communication skills

Nice to Have (Not Required)

• Published research or open-source contributions
• Experience with cloud platforms (AWS, GCP, Azure)
• Familiarity with LLMs, transformers, or diffusion models
• Prior experience in a fast-paced startup or scale-up environment

What We Offer

• Competitive compensation (commensurate with experience)
• Remote-friendly / flexible work arrangements
• Learning budget and conference support
• Opportunity to work across multiple AI domains
• Clear growth paths — from IC to leadership

How to Apply

Don't self-reject! If you're excited about AI and meetsome — not all — of the above, we'd love to hear from you. Send your resume, GitHub, portfolio, or just a note about what you'd like to work on.