Mid-Senior AI/ML Engineer - Remote

I’m helping WorldAssist Consulting find a top candidate to join their team flexible for the role of Mid-Senior AI/ML Engineer - Remote.

You'll drive end-to-end AI/ML innovation, shaping core products directly with a client's founding team.

Compensation:

USD 60 - 65/hour

Location:

Remote: United States

Mission of WorldAssist Consulting:

"Empower Your Business with Innovative IT Solutions."

What makes you a strong candidate:

• You are proficient in scikit-learn, Unit testing, TensorFlow, Python, PyTorch, Microsoft Azure.
• You have the potential to develop in Vector databases, Prompt engineering, Large language model (LLM).
• English - Conversational

Responsibilities and more:

🏢 About WorldAssist

WorldAssist is a fast-growing digital consulting startup. We partner with ambitious organizations to build cutting-edge digital solutions from the ground up. This specific role is for a high-impact project embedded with the founding team of one of our key clients.

🌟 Role Overview

We are seeking a highly autonomous and driven Mid-Senior AI/ML Engineer for a long-term, full-time contract. You will take full ownership of designing, building, and deploying machine learning models and AI systems. Because you will be working directly with a client's founding team, you must be comfortable operating in a fast-paced, ambiguous, and sometimes "messy" startup environment where processes are still being defined.

📋 Key Details

⦁ Experience Level: Mid-Senior (3–5 years of professional experience)

⦁ Employment Type: Full-Time Contract (Long-term)

⦁ Shift: 9:00 AM – 5:00 PM EST (8 hours/day)

⦁ Location: 100% Remote (Must be based in the US)

⦁ Work Authorization: Open only to US Citizens or Green Card holders. Visa sponsorship is not available for this role.

🚀 Key Responsibilities

⦁ End-to-End Ownership: Drive AI/ML projects from initial ideation and data exploration through to model development, training, production deployment, and monitoring.

⦁ Collaboration with Founders: Work directly with the client's founding team to translate high-level business goals and product visions into technical execution.

⦁ Navigate Ambiguity: Thrive in a dynamic, startup-like setting by proactively identifying problems, finding creative solutions, and building structure out of chaos.

⦁ Pipeline Development: Design and maintain scalable data pipelines and infrastructure required to support machine learning models.

⦁ Code Quality & Best Practices: Write clean, maintainable, and well-documented code while establishing standard ML engineering practices for the project.

🛠️ Qualifications & Requirements

Education:

⦁ B.S. in Computer Science or a strictly related technical field is required.

⦁ Master’s degree in Computer Science or a related field is preferred.

Experience & Skills:

⦁ 3 to 5 years of proven experience as an AI/ML Engineer or in a similar production-heavy data science role.

⦁ Strong proficiency in Python and standard ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).

⦁ Solid experience with software engineering best practices (Git, CI/CD, unit testing, API development).

⦁ Experience deploying ML models to cloud environments (AWS, GCP, or Azure) and using containerization (Docker, Kubernetes).

⦁ A strong "founder's mentality" with a bias for action and a passion for building zero-to-one products.

💡 Desirable Extras

⦁ Experience working in early-stage startups or digital consulting agencies.

⦁ Familiarity with LLMs (Large Language Models), prompt engineering, or vector databases.

🎁 What’s In It For You?

⦁ Massive Impact: You won't just be a cog in a machine; you will be the driving force behind a core product.

⦁ Startup Growth, Agency Security: Enjoy the thrill of working with a founding team alongside the stability and network of WorldAssist.

⦁ Remote Freedom: Work from anywhere in the US with a set, predictable 9-to-5 schedule aligned to the Eastern Time Zone.