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LLMOps Engineer

2 months ago

india HCLTech Full time

Dear All,


Greetings

HCL TECH is hiring LLMOps Engineer || Walk-in Drive: - 19-Oct-24 || Noida

Mode of Interview: Face to Face Interview.

Walk-In Drive Date: 19-Oct-24

Reporting Time: 9.00 AM – 4.00 PM

Education/Qualifications: B.E or B.Tech or Equivalent Degree

Drive Venue: HCL TECH, Plot No. 3A, SEZ Noida Technology Hub, Sector 126, Noida 201303



Please find below Job Description.

Overall Experience: 10+yrs

Mandatory Skills: LLMOps, MLOps, Cloud, LLM, NLP, AI, Data Science, Machine Learning, Python, SQL, Linux/Unix shell scripting

Notice Period: Immediate to 90 days.


Mandatory Skills & Experience:

• Expertise in designing and optimizing machine-learning operations, with a preference for LLMOps.

• Proficient in Data Science, Machine Learning, Python, SQL, Linux/Unix shell scripting.

• Experience on Large Language Models and Natural Language Processing (NLP), and experience with researching, training, and fine-tuning LLMs. Contribute towards fine-tune Transformer models for optimal performance in NLP tasks, if required.

• Implement and maintain automated testing and deployment processes for machine learning models w.r.t LLMOps.

• Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows

• Develop and maintain robust monitoring and alerting systems for generative AI models ensuring proactive identification and resolution of issues.

•Research or engineering experience in deep learning with one or more of the following: generative models, segmentation, object detection, classification, model optimisations.

• Experience implementing RAG frameworks as part of available-ready products.

• Experience in setting up the infrastructure for the latest technology such as Kubernetes, Serverless, Containers, Microservices etc.

• Experience in scripting / programming to automate deployments and testing, worked on tools like Terraform and Ansible. Scripting languages like Python, bash, YAML etc.

• Experience on CI/CD opensource and enterprise tool sets such as Argo CD, Jenkins (others like Jenkins X, Circle CI, Argo CD, Tekton, Travis, Concourse an advantage).

• Experience with the GitHub/DevOps Lifecycle

• Experience in Observability solutions (Prometheus, EFK stacks, ELK stacks, Grafana, Dynatrace, AppDynamics)

• Experience in at-least one of the clouds for example - Azure/AWS/GCP

• Significant experience on microservices-based, container-based or similar modern approaches of applications and workloads.

Desired Skills & Experience:

Bachelor level technical degree or equivalent experience; Computer Science, Data Science, or Engineering background preferred; Master’s Degree desired.

• Experience in LLMOps or related areas, such as DevOps, data engineering, or ML infrastructure.

• Hands-on experience in deploying and managing machine learning and large language model pipelines in cloud platforms (e.g., AWS, Azure) for ML workloads.

• Familiar with data science, machine learning, deep learning, and natural language processing concepts, tools, and libraries such as Python, TensorFlow, PyTorch, NLTK etc.

• Experience in using retrieval augmented generation and prompt engineering techniques to improve the model’s quality and diversity to improve operations efficiency. Proven experience in developing and fine-tuning Language Models (LLMs).

• Stay up-to-date with the latest advancements in Generative AI, conduct research, and explore innovative techniques to improve model quality and efficiency.

• The perfect candidate will already be working within a System Integrator, Consulting or Enterprise organisation with 8+ years of experience in a technical role within the Cloud domain.

• Deep understanding of core practices including SRE, Agile, Scrum, XP and Domain Driven Design. Familiarity with the CNCF open-source community.


Interested candidates, Kindly drop their updated CV at with below details.


Overall Experience:

Email id:

Contact no:

Current Company:

Skills:

Current CTC:

Expected CTC:

Official Notice Period:

Preferred Work Location:

Available for Walk-in Drive(19-Oct-24) :- (Yes/No):


Things to carry for interview:

One copy of an updated resume (Hard Copy).

Government ID proof (Original and Xerox Copy both) 1 Passport size photo (Hard Copy).

All documents from previous employers (relieving letter, experience letter).


Thank You