Machine Learning Engineer 2
Crowe LLP (company site, opens in a new tab)4–8 yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 9h ago
Reach people at Crowe LLP
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 Crowe LLP 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
- Develop and maintain scalable APIs and Kubernetes environments for deploying AI and machine learning models at Crowe.
- Design backend services including REST/gRPC APIs, job orchestration, asynchronous processing, and data/model lifecycle management to support AI workloads.
- Collaborate with Machine Learning Engineers to transition AI solutions from Proof of Concept to production ensuring stability, security, and scalability.
Minimum Requirements
- 4-8 years of experience maintaining production-grade APIs in software engineering roles.
- Strong programming skills in Python and JavaScript with experience in writing scalable production-level code.
- Experience with at least one Cloud Computing platform; Microsoft Azure experience is a plus.
- Solid understanding of system design, scaling strategies, distributed computing principles, and interface development including RESTful APIs, websockets, and webhooks.
Ideal Candidate Profile
- Experienced in production-level system design and architecture supporting AI workloads and distributed computing needs.
- Proficient in deploying and managing Kubernetes environments for AI systems, with certifications like CKAD being favorable.
- Demonstrates a commitment to DevOps best practices, continuous engineering improvement, and has practical AI/machine learning experience beyond basic familiarity.