Hiring For "Gen AI Engineer"

Greetings from HCL!

Currently |Hiring for "Gen AI Engineer"

Location - Noida / Chennai / Hyderabad / Pune / Bangalore

JD:

• 5+ years of experience in GenAIOps, DevOps, data engineering, or ML infrastructure
• Proven experience automating GenAI/ML pipelines with tools like AzureDevOps, MLflow, Kubeflow, Airflow, etc.​
• Expertise in cloud platforms (e.g., Azure, AWS and Google) for supporting ML/GenAI workloads
• Strong understanding of CI/CD principles and containerization technologies (Docker, Kubernetes).​
• Expertise in Infra-as-a-Code (IaaC) tools such as Terraform, CloudFormation, ARM templates, Python and other scripting languages

• Familiarity with monitoring and alerting tools for GenAI systems (e.g., Prometheus, Grafana, LangSmith, Arize AI, Azure Monitor etc.).​
• Strong understanding of LLMs (GPT4, Llama3, Gemini etc.), LLM orchestration and associated technologies.​
• Experience supporting data science teams with predictive and prescription model lifecycle (training, testing, versioning, inference, experimentation and deployment). ​
• Excellent communication, collaboration, and problem-solving skills.​
• Passion for Generative AI and its potential across industries

Responsibilities:​

• Design, develop, and implement ML and GenAIOps pipelines for ML and Generative AI models, covering data ingestion, preprocessing, training, deployment, and monitoring.​
• Automate GenAI tasks using Jenkins, GitOps, CI/CD pipelines, and containerization tools such as Docker and Kubernetes.​
• Maintain robust monitoring and alerting systems for ML and Generative AI models in production, ensuring timely issue resolution.​
• Collaborate with the Generative AI Architect, Data scientists and other team members to optimize model performance and resource utilization.​
• Manage cloud infrastructure (e.g., AWS, GCP, Azure) for ML and GenAI workloads, focusing on cost-efficiency and scalability.​
• Stay updated on the latest ML/GenAIOps advancements and integrate them into our platform and processes.​
• Communicate effectively with technical and non-technical stakeholders about model health and performance.​
• Provide L1/L2 support triaging ML/GenAI App issues as reported by business users, data scientists and ML/data engineers.​

Experience: 5 to 14 years

Notice period - Immediate to 45 days.

Please share the details given below:

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Experience:

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Interested candidate, please share your updated CV along with the above details.

Please share any reference on the same email

kushmathattanda.baby@hcltech.com

Regards,

Kushma

kushmathattanda.baby@hcltech.com