Job Title: Lead Machine Learning Engineer

Company Name: iOPEX Technologies

Job Url: https://boards.greenhouse.io/embed/job_app?token=5821863004&utm_source=jobright&jr_id=69aedb996b21de023e5fe9ff

Job Description: We are seeking an exceptionally talented Lead Machine Learning Engineer to join our rapidly growing consulting team. In this role, you will lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients.
You will work at the intersection of machine learning, distributed systems, and production software engineering, helping transform cutting-edge ML research into robust, production-grade solutions. As a Lead ML Engineer, you will guide ML architecture decisions, mentor engineers, and collaborate with cross-functional teams to deliver high-impact AI solutions across multiple industries.

  

Location

Fully Remote/ European Residence required

Compensation

Salary

Work Schedule

Full time/ Flexible working hours

Reports to

Head of Engineering

Member of

Engineering Team

 

To be considered for this position, you must have the following qualifications: 

8+ years of experience in software engineering, machine learning engineering, or applied AI.
3+ years of experience in technical leadership or mentoring engineering teams.
Strong experience developing and deploying machine learning models in production environments.
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar.
Experience designing scalable ML systems and data pipelines.
Strong programming skills in Python and experience with backend or distributed systems.
Experience with cloud platforms (AWS, Azure, or GCP).
Experience with containerization and deployment technologies (Docker, Kubernetes).
Strong understanding of MLOps practices and model lifecycle management.
Excellent problem-solving skills and ability to work independently in remote environments.
Strong written and spoken English communication skills.
Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.