CIEL HR
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HR Consulting · 201 to 500 Employees · Bengaluru, India
CIEL is a new-age Recruiting and Staffing company focused on helping organizations find talent either for their permanent or contractual roles. The Founders of Ma Foi and industry veterans have come together to co-found CIEL with an ambition to bring new meanings in talent acquisition and management
Hiring: Engineering
What employees say
+ A Hiring process was smooth.
− there is a communications gap.
More reviews on the company profile.
Interview experience · Software Eginner
Very very slow paper work process. Really annoying. It's been a month and yet no response nor call back. They should understand what candidates go through this period and they should atleast cope up with giving responses
Average difficulty · Mumbai · 16 reports
More interview insightsJob description
Overview
Key Responsibilities • End-to-End Solution Leadership: Own the full AI lifecycle: from requirement negotiation with stakeholders to technical architecture, deployment, and post-production monitoring.
Responsibilities
- End-to-End Solution Leadership: Own the full AI lifecycle: from requirement negotiation with stakeholders to technical architecture, deployment, and post-production monitoring.
- GenAI & Agentic Orchestration: Design and scale sophisticated LLM applications using LangChain and LangGraph. Build multi-agent systems capable of reasoning, tool-use, and workflow automation/decision support for logistics use cases.
- Hybrid Platform Oversight: Serve as the technical lead for our AI stack, optimizing Google Cloud Vertex AI for model training/serving and IBM Watsonx for enterprise-grade governance and scaling.
- Production-Grade MLOps: Ensure the team builds robust CI/CD/CT (Continuous Training) pipelines. Oversee the integration of IaC, vector databases, feature stores, and automated evaluation frameworks.
- Responsible AI & Governance: Implement model monitoring for drift, bias, and "hallucinations" (for GenAI) using watsonx.governance, ensuring compliance with enterprise standards.
- People & Project Leadership: Translate business goals into measurable AI outcomes; manage backlog, risks, timelines, and documentation. Mentor a cross-functional team of AI Engineers and Data Scientists. Act as the "Player-Coach" who can perform deep code reviews while managing project milestones and executive expectations.
Qualifications
- 4+ years relevant in Data Science, MLE/MLOps, or GenAI Engineering; 1+ end-to-end project led to production (ownership of designdeploymonitor).
- Depth in one track, plus working breadth across:
- ML/DS: problem framing, feature engineering, model selection, evaluation.
- GenAI: prompt engineering, RAG, agentic patterns, tool use.
- MLOps: CI/CD for ML, observability, rollback, cost/perf tuning.
- Stack: GCP/Vertex AI, IBM watsonx, Python, LangChain/LangGraph (or equivalent orchestration), Git, Docker/Kubernetes, SQL.
- Proven ability to lead cross-functional contributors and deliver measurable business impact.
- Familiarity with vector databases and retrieval and RAG evaluation.
- Exposure to MLflow/Kubeflow/Airflow, Terraform/Helm, and LLMs (Gemini, Llama, MistralAI).
- Knowledge of responsible AI controls (evals, guardrails, red teaming) and basic compliance frameworks.
Education
- Bachelors degree in Computer Science, Information Systems, Engineering, or related field
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Job application FAQ
Last updated 19 September 2026
- How do I apply for Mlops/AI Engineer - (GCP, Vertex AI, Watsonx, Agentic AI) at CIEL HR?
- 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. CIEL HR may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Mlops/AI Engineer - (GCP, Vertex AI, Watsonx, Agentic AI) 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 Mlops/AI Engineer - (GCP, Vertex AI, Watsonx, Agentic AI) remote or on-site in Chennai, Tamil Nadu?
- This listing is marked hybrid with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Mlops/AI Engineer - (GCP, Vertex AI, Watsonx, Agentic AI) role at CIEL HR?
- This is a mid-level Mlops/AI Engineer - (GCP, Vertex AI, Watsonx, Agentic AI) role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.