AI/ML Engineer I
Everseen (company site, opens in a new tab)1–3 yrsPuneOn-siteDirect career pageEst. 8–18 LPA
Posted on 10 Sept
Reach people at Everseen
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Everseen you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy AI/ML solutions focusing on production-quality models and scalable machine learning systems.
- Own and deliver key machine learning components or features independently, optimizing production efficiency and impact on business outcomes.
- Collaborate with cross-functional teams to build reproducible pipelines and workflows, presenting experimental results clearly and contributing to project documentation.
Minimum Requirements
- 1 to 3 years of experience in AI/ML roles managing complex technical projects.
- Bachelor’s or Master’s degree in Engineering, Computer Science, Machine Learning, or related field preferred.
- Proficient in Python, with experience in AI/ML frameworks like PyTorch, TensorFlow, and tools including Linux, Docker, Kubernetes.
- Experience with moving models from research to production, including considerations of latency and scalability is required.
Ideal Candidate Profile
- Experienced in translating research ideas into efficient, production-ready AI/ML solutions with measurable business impact.
- Strong analytical and problem-solving skills with ability to design experiments, analyze results, and apply algorithms from research papers.
- Able to operate independently with ownership of outcomes and aligns work to overall project goals in a collaborative environment.