Tenarai
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1001 to 5000 Employees · Los Gatos, US
Hiring: Engineering
What employees say
+ Moral support Ticket process to resolve your issues
− No compansation review even billing resource. No appropriate communication regarding compansation review. There is just a process, no implementation.
More reviews on the company profile.
Interview experience · MLOps Engineer
Three interviews determine your hiring: two technical rounds to evaluate your hard skills, coding, and problem-solving, followed by one HR round to assess your cultural fit, communication, and salary expectations.
Average difficulty · India · 3 reports
More interview insightsJob description
Overview
AI ML Engineer || Tenarai || Gurgaon
Responsibilities
- Lead the architecture, design and implementation of AI-driven workflows to enhance system capabilities that addresses business needs and provided tangible value
- Provide solutions to problems for their immediate team and across multiple teams.
Qualifications
- Exp: 5 to 7 years
- Skills : AI + ML+Python + RAG
- Job Location: Cybercity , Gurgaon (3 days WFO)
- As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud services.
- The role requires production-ready Agentic AI solutions, integrating generative AI models, and working on diverse AI domains such as deep learning, neural networks, chatbots, and image processing. Collaboration with various teams to align project goals and deliver innovative AI-driven solutions is a key aspect of daily activities, ensuring seamless deployment and operational efficiency in both cloud and on-premises environments.
- Strong knowledge of generative AI models and their practical application within enterprise solutions.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize chatbots and image processing systems.
- Skilled in managing end-to-end AI solution pipelines ensuring production readiness and scalability.
- Preferred candidate profile
- Interested candidates , kindly share updated resume at hidden_email .
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Job application FAQ
Last updated 4 November 2026
- How do I apply for AI ML Engineer || Tenarai || Gurgaon at Tenarai?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Tenarai may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI ML Engineer || Tenarai || Gurgaon role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI ML Engineer || Tenarai || Gurgaon remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this AI ML Engineer || Tenarai || Gurgaon role at Tenarai?
- This is a mid-level AI ML Engineer || Tenarai || Gurgaon role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.