Machine Learning Engineer Jobs

Machine Learning Engineer

InData Labs

Location:

Category:
IT - Software Development

Contract Type:
B2B

Salary:

Not provided

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Job Description:

We’re looking for a seasoned Machine Learning Engineer (Generalist) with solid experience in both Computer Vision and Natural Language Processing, to lead full-cycle AI/ML projects from ideation to deployment. This role is perfect for someone who thrives on solving complex client-specific challenges, works independently, and proactively offers technical and strategic solutions.

Job Responsibility:

Understand diverse business needs and technical constraints
Propose viable and innovative ML solutions (especially RAG-based or hybrid systems)
Communicate with clients effectively and confidently
Deliver high-quality work with minimal supervision
Full ownership of ML projects (scoping, modeling, deployment, communication)
Build and fine-tune models in both CV and NLP domains
Design and implement Retrieval-Augmented Generation (RAG) pipelines
Propose technical solutions based on each client’s unique business goals and our company’s delivery capabilities
Communicate project plans, limitations, and tradeoffs directly with clients
Collaborate cross-functionally with delivery, product, and sales teams
Stay on the edge of industry research and apply the latest practices

Requirements:

5+ years of experience in applied Machine Learning
Proven hands-on expertise in both Computer Vision and Natural Language Processing
Solid understanding and experience with RAG pipelines
Ability to design, build, and optimize ML solutions end-to-end
Experience working directly with clients and balancing business vs technical priorities
Excellent communication skills (English – Upper Intermediate or higher)
Self-starter mindset, comfortable owning the full lifecycle of a project
Solid Python skills and familiarity with common ML libraries/frameworks (e.g., PyTorch, TensorFlow, HuggingFace, OpenCV, LangChain, etc.)

Nice to have:

PhD in Mathematics, Computer Science, or related fields
Publications, conference talks, or contributions to open-source/research
Experience with MLOps and deployment in cloud environments (AWS/GCP)
Prior consulting or outsourcing experience is a big plus

What we offer:

100% remote with flexible hours
Work from anywhere in the world
Be part of a senior, talented, and supportive team
Flat structure – your input is always welcome
Clients in the US and Europe, projects with real impact
Room to grow and experiment with cutting-edge AI solutions

Additional Information:

Job Posted:
December 09, 2025

Work Type:

Remote work

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