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TETRAHED INC
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Noida · On-site · 8-11 Yrs · Sep 30
1 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Mandatory Skills & ExperienceExpertise in designing and optimizing machine-learning operations, with a preference for LLM Ops.
Responsibilities
- Technical & Architectural Leadership Contribute to the technical delivery of projects, ensuring a high quality of work that adheres to best practices, brings innovative approaches and meets client expectations. Project types include following (but not limited to): Solution architecture, Proof of concepts (PoCs), MVP, design, develop, and implementation of ML/LLM pipelines for generative AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring.
- Automate ML tasks across the model lifecycle. Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of advanced AI solutions using Large Language Models (LLM) & Natural Language Processing (NLP) techniques and partner technologies.
- Collaborate with cross-functional teams to integrate LLM and NLP technologies into existing systems.
- Ensure the highest levels of security and compliance are maintained in all ML and LLM operations.
- Stay abreast of the latest developments in ML and LLM technologies and methodologies, integrating these innovations to enhance operational efficiency and model effectiveness.
- Collaborate with global peers from partner ecosystems on joint technical projects. This partner ecosystem includes Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell / VMware etc. Service Delivery Provide a technical hands-on contribution.
- Create scalable infra to support enterprise loads (distributed GPU compute, foundation models, orchestrating across multiple cloud vendors, etc.) Ensuring the reliable and efficient platform operations. Apply data science, machine learning, deep learning, and natural language processing methods to analyse, process, and improve the models data and performance.
- Create and optimize prompts and queries for retrieval augmented generation and prompt engineering techniques to enhance the models capabilities and user experience w.r.t Operations & associated platforms. Client-facing influence and guidance, engaging in consultative client discussions and performing a Trusted Advisor role.
- Provide effective support to HCL Sales and Delivery teams.
- Support sales pursuits and enable HCL revenue growth.
- Be a trusted, knowledgeable internal innovator driving success across our global workforce. Client Relationships Advise on best practices related to platform & Operations engineering and cloud native operations, run client briefings and workshops, and engage technical leaders in a strategic dialogue.
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Job application FAQ
Last updated 5 October 2026
- How do I apply for AI/ML Ops Engineer (Specializing in LLMs) // LLM Operations Engineer at TETRAHED INC?
- 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. TETRAHED INC may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI/ML Ops Engineer (Specializing in LLMs) // LLM Operations Engineer 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 Ops Engineer (Specializing in LLMs) // LLM Operations Engineer remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this AI/ML Ops Engineer (Specializing in LLMs) // LLM Operations Engineer role at TETRAHED INC?
- This is a mid-level AI/ML Ops Engineer (Specializing in LLMs) // LLM Operations Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.