Nisum Technologies
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Hyderabad · On-site · 8-11 Yrs · 4 days ago
Information Technology Support Services · 1001 to 5000 Employees · Brea, US
Nisum Technologies is a global technology consulting group with headquarter in Southern California. We were founded in 2000 with one motto: building success together. We believe that through a close working-relationship with our clients we are able to clearly identify areas that can be improved upon and can add simplicity, efficiency, and organization into what can be an otherwise very complex world of technology. Sticking to our motto has helped us build success together with clients of all kinds and sizes, ranging from the Becker Surf and Friend Communications to the Gap, Macy’s and Toyota.
Hiring: Engineering
What employees say
+ Good work-life balance with flexible work-from-home support. Supportive managers and friendly, helpful colleagues. Positive work culture
− I haven't found any major drawbacks during my time here.
More reviews on the company profile.
Interview experience · Senior Software Engineer
overall good. 3 process level first interview was technical its run around 1.30 hours second was jr round 3 was client round all clear then i am thinking to join this company
Difficult difficulty · India · 59 reports
More interview insightsJob description
Overview
Machine Learning Engineer / Generative AI Engineer
Responsibilities
- We are seeking an experienced Machine Learning Engineer / Generative AI Engineer to join our growing AI team. In this role, you will be responsible for designing, deploying, and operating enterprise-scale AI and Generative AI solutions in cloud-based production environments. You will work closely with cross-functional teams to build intelligent applications, implement AI workflows, and establish scalable AI platforms that deliver measurable business value.
- Deploy, scale, and manage Machine Learning and Generative AI solutions in cloud environments, with a preference for Azure-based ecosystems.
- Design and develop enterprise-grade Retrieval-Augmented Generation (RAG) applications using embeddings, vector databases, and retrieval pipelines.
- Build and operationalize Agentic AI workflows with tool integration using frameworks such as LangChain and LangGraph.
- Develop reusable AI infrastructure and orchestration frameworks using Model Context Protocol (MCP) and AI Development Kit (ADK).
- Design and implement model-serving architectures, including REST APIs, batch inference, and real-time AI services.
- Establish best practices for observability, monitoring, evaluation, governance, and performance optimization of AI systems.
- Collaborate with Data Engineering, Application Development, and Business teams to integrate AI solutions into enterprise workflows.
- Drive adoption of MLOps and LLMOps practices, including CI/CD automation, model versioning, testing, deployment, and lifecycle management.
- Ensure security, compliance, reliability, scalability, and cost optimization of AI services deployed in production environments.
- Contribute to architectural decisions and continuously improve AI platform capabilities.
Qualifications
- Location: India
- Employment Type: Full-Time
- 8+ years of experience in Machine Learning Engineering, AI Platform Engineering, MLOps, or related domains.
- Strong proficiency in Python and experience building production-grade AI/ML applications and services.
- Hands-on experience with Generative AI and Large Language Model (LLM) applications in enterprise environments.
- Expertise in Retrieval-Augmented Generation (RAG), vector search, embeddings, and retrieval pipelines.
- Experience with orchestration frameworks such as LangChain, LangGraph, and LangSmith.
- Strong understanding of AI model serving, inference pipelines, monitoring, and observability.
- Experience with Azure AI, Azure Machine Learning, Databricks, or similar cloud AI platforms.
- Hands-on experience with Docker, Kubernetes, REST APIs, and cloud-native deployments.
- Knowledge of MLOps/LLMOps practices, including CI/CD, testing, version control, and deployment automation.
- Strong problem-solving skills and the ability to work in a cooperative, fast-paced environment.
Education
- Bachelors Degree in Computer Science, Information Systems, Engineering, Computer Applications, or a related field.
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Job application FAQ
Last updated 27 October 2026
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- Is Senior Machine Learning Engineer / Generative AI Engineer (Hyderabad) remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
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