AI Technical Lead/Architect

Developing Technical Designs for Artificial Intelligence features for Orchestration, Agent development, MCP interactions and Machine Learning.
Hands-on development of Solutions in Data Engineering technologies & AI
Closely collaborate with Architecture teams to establish solutions designed to scale for millions of users.
Engaging actively with other specializations and compliance processes
Participating in daily working sessions, and leading workstreams from planning through execution to closure

Set up For Success

Innovation is key to success in this role. Need high dose of technical expertise combined with acumen for performance at scale, adapting to changing dynamics should come as second nature. This role will work to deliver in a fast paced environment, working on multiple complex initiatives in a startup like fashion. Taking a requirement, rapid prototyping, show proof of value in the features, implementation and scaling is expected from this role. Should also provide technical guidance and mentor junior team members,  participate in tech talks to broaden and spread tech expertise.

Primary Requirements

At least 10+ years of relevant full-time working experience in designing and developing Machine Learning solutions, MLOps, Data engineering

At least 5 years of AI related experience
Hands on development experience in Python, using related libraries such as Pandas, Pytorch, TensorFlow, Spark
Experience with Unsupervised and Deep Learning models
Hands on expertise with MLOps methods and platforms such as MLFlow
Strong Data Engineering knowledge with technologies such as Apache AirFlow, PySpark
Experience designing, training and validating ML models
Experience with testing technologies for various ML Models
Experience in handling Time Series Data, Anomalies detection, Data Correlation techniques
Experience in using frameworks such as Prophet, BentoML or other equivalent tools
Experience with Conversational AI, ChatGPT, Multi language support
Hands on Experience in Cloud Technologies, preferably AWS
Good understanding of SaaS platforms and associated technologies
Proficiency in Containeration, Orchestration of containers, scaling concepts
Expertise in AWS Bedrock, SageMaker 
Visualization technologies for AI and ML output, BI Reports, Tableau, PowerBI
Thorough understanding of Agile Development practices, ceremonies
Prior experience in working for a Product development company
Excellent communication skills