ML Ops Technical Architect

• Meet with IT and Business teams to understand the requirements and opportunities
• Architect systems for AI/ML, agent-based AI workflows.
• Lead the design and development of AI/ML, ML Ops & Agentic AI solutions
• Develop and optimize ML models, pipelines, and orchestration logic
• Deploy AI/ML Models, LLM-based pipelines, agent orchestration, and vector-based memory systems
• Work closely with data scientists, ML engineers, DevOps, and software engineers to ensure seamless integration and deployment of solutions
• Drive technical strategy, tooling, and infrastructure decisions.
• Provides management with timely communication on status & utilizes appropriate tools and/or develops custom solutions as required to meet objectives.
• Identifies areas for process improvement.
• Maintains appropriate communication within the team and across various teams (i.e., internal and external).

Candidates must be authorized to work in the United States without current or future employer sponsorship., * Programming Languages: Python, Java

• Agentic AI: Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
• Tool Integration: Gemini Tools, Custom MCP tools
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch and AutoML.
• Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP).
• Cloud Platforms: Google Cloud Platform (Google Cloud Platform), Vertex AI and Kubeflow
• Data Engineering: Proficiency in data preprocessing and feature engineering.
• Version Control: Experience with GitHub for version control.
• Data Science Practices: Skills in building models, testing/validation, and deployment.
• Databases: DB2, Oracle, BigQuery, BigData, Cassandra, PostGRES
• Collaboration: Experience working in an Agile framework.
• RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search.
• Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations & TensorRT

Functional Skills:

• Experience working with customers in Retail Domain
• Knowledge in Retail Pricing functionalities is a plus

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data. With an effort to enable our customers the ability to solve biggest problems within their organization.We perceive our clients problems and respond with custom solutions instead of handing over boilerplate responses. OUR MISSION Customer Focus: We listen carefully to the needs of our clients so that we know what s important for their business and can design a customized solution for their business. Innovation: As a firm, we believe in constantly upgrading ourselves and improving our solutions to adapt to the changing landscape of technology. Accountability and Ethics: We believe in taking our commitments as seriously as our customers and living up to them while building trust for a long term business relationship.