Senior/Staff AI/ML Engineer

I’m helping FunCodeNet find a top candidate to join their team full-time for the role of Senior/Staff AI/ML Engineer (Remote, US - Working US Hours).

You'll design and scale impactful AI/ML systems for leading US companies, collaborating globally in real time.

Compensation:

USD 6K - 9K/month

Location:

Remote (anywhere)

Mission of FunCodeNet:

"To connect global developers with meaningful remote opportunities while helping companies access reliable, high-quality engineering talent through trust, clarity, and technical excellence."

What makes you a strong candidate:

• You have +5 years experience in scikit-learn, TensorFlow, Python, PyTorch, Machine learning.
• You are proficient in Software engineering, MLOps, Deep learning.
• English - Fully fluent

Responsibilities and more:

About Us

We connect top-tier offshore engineering talent with leading US-based companies. Our mission is to enable high-performing developers around the world to work on impactful products while collaborating closely with US teams in real time.

Role Overview

We are looking for a Senior/Staff-level AI/ML Engineer with strong production experience to design, build, and scale machine learning systems. You will work directly with US-based teams, contributing to real-world applications across domains such as NLP, computer vision, recommendation systems, and generative AI.

Key Responsibilities

- Design, develop, and deploy scalable AI/ML models in production environments

- Collaborate with cross-functional teams including product, data, and engineering

- Build and maintain end-to-end ML pipelines (data ingestion, training, evaluation, deployment)

- Optimize model performance, scalability, and reliability

- Translate business problems into ML solutions

- Communicate technical concepts clearly with stakeholders and team members

- Stay up to date with the latest advancements in AI/ML and apply them where relevant

Required Qualifications

- 5+ years of hands-on experience building and deploying AI/ML systems in production

- Strong proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

- Experience with MLOps practices, model deployment, and monitoring

- Solid understanding of data structures, algorithms, and software engineering principles

- Strong English communication skills (written and verbal)

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

- Ability to work full-time aligned with US time zones

Preferred Qualifications

- Prior experience working with US-based companies or clients

- Full-stack development experience (e.g., building APIs, working with frontend/backend systems)

- Experience with cloud platforms (AWS, GCP, or Azure)

- Familiarity with modern AI areas such as LLMs, generative AI, or deep learning systems

- Experience working in distributed or remote teams

- Exposure to data engineering or large-scale data processing systems

What We Offer

- Fully remote opportunity with global flexibility

- Competitive compensation

- Opportunity to work with leading US companies and cutting-edge technologies