Tredence - Senior Architect - Machine Learning

AI Ops Senior Architect - 12 - 17 Years

Pune / Bengaluru / Hyderabad / Chennai / Gurugram, India

Tredence is Data science, engineering, and analytics consulting company that partners with some of the leading global Retail, CPG, Industrial and Telecom companies. We deliver business impact by enabling last mile adoption of insights by uniting our strengths in business analytics, data science and data engineering.

Headquartered in the San Francisco Bay Area, we partner with clients in US, Canada, and Europe. Bangalore is our largest Centre of Excellence with skilled analytics and technology teams serving our growing base of Fortune 500 clients.

JOB DESCRIPTION

At Tredence, you will lead the evolution of "Industrializing AI" solutions for our clients by implementing ML / LLM / GenAI & Agent Ops best practices. You will lead the Architecture , Design & development of large scale ML / LLMOps platforms for our clients. You'll build and maintain tools for deployment, monitoring, and operations. You'll be a trusted advisor to our clients in ML / GenAI / Agent Ops space & coach to the ML engineering practitioners to build effective solutions to Industrialize AI solutions,

THE IDEAL CANDIDATE WILL BE RESPONSIBLE FOR

AI Ops Strategy, Innovation, Research and Technical Standards

1. Conduct research and experiment with emerging AI Ops technologies and trends. Create POV's, POC's & present Proof of Technology to use latest tools, Technologies & services from Hyper scalers focussed on ML, GenAI & Agent Ops

2. Define and propose new technical standards and best practices for the organization's AI Ops environment.

3. Lead the evaluation and adoption of innovative MLOps solutions to address critical business challenges.

4. Conduct meet ups, attend & present in Industry events, conferences, etc

5. Ideate & develop accelerators to strengthen service offerings of AI Ops practice

Solution Design & Architectural Development

6. Lead Design & architecture of scalable model training & deployment pipelines for large-scale deployments

7. Architect & Design large scale ML & GenAI Ops platforms

8. Collaborate with Data science & GenAI practice to define and implement strategies of AI solutions for model explainability and interpretability

9. Mentor and guide senior architects in crafting cutting-edge AI Ops solutions

10. Lead architecture reviews and identify opportunities for significant optimizations and improvements.

Documentation and Best Practices

11. Develop and maintain comprehensive documentation of AIOps architectures designs and best practices.

12. Lead the development and delivery of training materials and workshops on AIOps tools and techniques.

13. Actively participate in sharing knowledge and expertise with the MLOps team through internal presentations and code reviews.

Qualifications and Skills :

1. Bachelor's or Master's degree in Computer Science, Data Science, or a related field with minimum 12 years of experience

2. Proven experience in architecting & developing AIOps solutions - to streamline Machine Learning & GenAI development lifecycle

3. Proven experience as an AI Ops Architect - ML & GenAI in architecting & design of ML & GenAI platforms

4. Hands on experience in Model deployment strategies, Designing ML & GenAI model pipelines to scale in production, Model Observability techniques used to monitor performance of ML & LLM's

5. Strong coding skills with experience in implementing best coding practices

Technical Skills & Expertise

• Python, PySpark, PyTorch ,Java, Micro Services, API's,
• LLMOps - Vector DB, RAG, LLM Orchestration tools, LLM Observability, LLM Guardrails, Responsible AI
• MLOps - MLFlow, ML / DL libraries, Model & Data Drift Detection libraries & techniques
• Real Time & Batch Streaming
• Container Orchestration Platforms
• Cloud platforms - Azure / AWS / GCP, Data Platforms - Databricks / Snowflake

Nice to Have :

You can expect to :

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