DevOps/LLMOps Engineer - Senior Associate

Requirements

• 3-5 years of relevant technical/technology experience, with a focus on GenAI projects.
• Strong programming skills in languages such as Python, R, or Scala.
• Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and data wrangling techniques.
• Solid understanding of statistical analysis, hypothesis testing, and experimental design.
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Knowledge of data visualization tools and techniques.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

• Experience with object-oriented programming languages such as Java, C++, or C#.
• Experience with developing and deploying machine learning applications in production environments.
• Understanding of data privacy and compliance regulations.
• Relevant certifications in data science or GenAI technologies.

Nice to Have Skills:

• Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock.
• Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc.
• Experience in chatbot design and development.

Professional and Educational Background:

Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

The Opportunity

• When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
• As part of the Data and Analytics team you will design, implement, and manage enterprise-grade Generative AI infrastructure that is scalable and production-ready. As a Senior Associate you will analyze complex problems, mentor others, and maintain standards while operationalizing LLM-powered applications and maintaining compliance and cost effectiveness. This role offers the chance to work on cutting-edge technologies and contribute to the development of next-generation AI systems.

Responsibilities

• Design and manage scalable Generative AI infrastructure
• Operationalize LLM-powered applications while maintaining effectiveness and compliance
• Analyze complex issues and provide strategic solutions
• Mentor junior staff and enhance their technical skills
• Collaborate with teams to implement innovative technologies
• Uphold rigorous standards in project execution and delivery
• Build sturdy relationships with clients and internal stakeholders
• Navigate the complexities of AI systems development

What You Must Have

• Bachelor's Degree
• 4 years of experience in DevOps, MLOps, Platform Engineering, Cloud Engineering, or Infrastructure Engineering roles
• Oral and written proficiency in English required

What Sets You Apart

• Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering
• Experience operationalizing ML or LLM systems in production
• Proficiency in Python and/or Bash programming
• Building and managing CI/CD pipelines using GitHub Actions
• Understanding of cloud networking concepts and architecture
• Implementing secure networking patterns and zero-trust architecture
• Familiarity with vector databases and LLM deployment patterns
• Experience with Azure OpenAI and model deployment endpoints
• Healthcare domain understanding would be an added advantage

Travel Requirements

Not Specified

Job Posting End Date