AI/ML Architect

We are seeking an experiencedAI/MLArchitecttowards the design, development, and deployment ofGenerative AIsolutions. This role requires a deep understanding of AI/ML architectures, technical leadership, and the ability to design robust, scalable, and production-ready systems. The ideal candidate will have extensive experience in cloud platforms likeGCPand optionally AWS, Azure, or equivalent tools, combined with hands-on expertise in MLOps, containerization, data processing, andadvanced model optimization.

You will work closely with cross-functional teams, technical leadership, and stakeholders to implementstate-of-the-art AI solutionsthat solve real-world challenges and drive business value.

Roles & Responsibilities

1) Technical Leadership

• Lead thetechnical design and architectureof complex Generative AI systems.
• Ensure solutions align with business objectives, scalability requirements, and technical feasibility.
• Guide development teams throughbest practices, architecture reviews, and technical decision-making processes.

2) Solution Architecture

• Design and develop end-to-endGenerative AI solutions, includingdata pipelines, model training, deployment, and real-time monitoring.
• UtilizeMLOpstools and frameworks to automate workflows, ensuring scalable and repeatable deployments.
• Architect robust solutions usingGCPand optionally AWS, Azure, or open-source frameworks.
• Design, train, and fine-tuneAI/ML models, especiallyGenerative AIandLarge Language Models (LLMs), to address specific use cases.
• Build conversational AI solutions and chatbots using frameworks such asLangChain,RAG (Retrieval-Augmented Generation), andChain-of-Thought (COT) prompting

3) Production Deployment

• Lead the deployment of Generative AI models intoproduction environments.
• Optimize deployment pipelines leveraging tools likeDocker, Kubernetes, and cloud-native services for orchestration.
• Ensure seamless integration of GenAI solutions into existing CI/CD pipelines.

4) Data Processing & Feature Engineering

• Build scalableETL workflowsfor managing structured, semi-structured, and unstructured data.
• Implementdata wrangling, preprocessing, and feature engineering pipelines to prepare data for Generative AI applications.
• Optimize workflows to extract meaningful insights fromlarge datasets.

5) Model Optimization

• Identify and implement optimization strategies such ashyperparameter tuning,feature engineering, andmodel selectionfor performance enhancement.
• Focus on computational efficiency and scaling models to production-level performance.

6) Pilot/POCs Development

• Drive the design and development ofProof of Concepts (POCs)and pilot projects to address customer requirements.
• Collaborate with delivery and product teams to scale successful pilots to production-grade solutions.

7) Evangelization

• Promote and drive the adoption of Generative AI solutions across customer and delivery teams.
• Provide technical leadership and mentorship to teams working on GenAI projects.
• Conduct workshops, training sessions, and knowledge-sharing initiatives to enable stakeholders.

8) Continuous Improvement

• Stay at the forefront ofAI advancements, frameworks, and tools, including emerging concepts in Generative AI.
• Explore and evaluate techniques likeReinforcement Learning from Human Feedback (RLHF)andREACT (Retrieve, Extract, Adapt, Construct, Think)frameworks to enhance GenAI applications.

Required Skills & Qualifications

• 10+ yearsof experience in AI/ML architecture, model development, and production deployment.
• Proven expertise in designing, implementing, and scalingGenerative AIandLLM-based solutions.
• Hands-on experience withframeworks like LangChain,Retrieval-Augmented Generation (RAG), and advanced prompting techniques.
• Proficiency in advanced techniques such asembeddingsandChain-of-Thought (COT) prompting.
• Experience working withcloud platforms, primarilyGCP, with optional experience in AWS or Azure.
• Strong understanding ofMLOpstools, pipelines, and model monitoring in production.
• Proficiency inPythonandSQLfor model development and data processing.
• Experience withdata preprocessing, ETL workflows, andfeature engineeringfor AI applications.
• Strong knowledge ofcontainerizationtools likeDockerand orchestration platforms likeKubernetes.
• Solid understanding ofCI/CD pipelinesfor continuous deployment and integration of AI solutions.
• Experience working withlarge datasetsfor structured and unstructured AI applications.
• Deep experience in model optimization, includinghyperparameter tuningand computational efficiency strategies.
• Proven track record of leadingPOCs/pilotsand scaling them to production-grade deployments.

Preferred Skills

• Familiarity withReinforcement Learning from Human Feedback (RLHF).
• Experience withREACT (Retrieve, Extract, Adapt, Construct, Think)frameworks.
• Strong understanding of orchestration for large-scale production environments.

Key Attributes

• Strongtechnical leadershipand mentorship abilities.
• Excellent communication and stakeholder management skills.
• Strategic thinking with the ability to architect scalable and future-ready AI systems.
• Passion for solving business challenges using state-of-the-art AI techniques.
• Commitment to staying updated with the latest advancements in AI/ML technologies.

Why Join Us

• Lead the development of cutting-edgeGenerative AIsolutions for real-world applications.
• Be part of a collaborative, innovative, and technology-driven team.
• Opportunity to work with advanced AI/ML tools and frameworks.
• Drive innovation throughtechnical leadership, mentorship, and solution evangelization.
• Continuous professional growth with access to the latest AI/ML technologies and frameworks.