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AIML Engineer

3 months ago

Bangalore, India NTT DATA Services Full time

About NTT DATA

NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.

Visit us at us.nttdata.com.

NTT DATA Services currently seeks AIML Engineer to join our team in Bangalore

Key Responsibilities:
•    Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.
•    Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML)
•    Collaborating with Data scientist to optimize the scoring pipeline.
•    Building automation capabilities to deploy ML Models and LLM Models on the enterprise on-prem platform and cloud platform.
•    Build and Deploy capabilities for automating model scoring/Inferencing of ML models and LLMs.
•    Build and Deploy capabilities for data pipeline deployment standardization and model consumption by multiple LOBs.
•    Collaborate with product owners, devOps team, data scientists, support teams to define and drive end to end model scoring pipelines.
•    Participate in day-to-day standups for platform capability build.
•    Provide SME guidance for data science teams on software engineering principles, model deployments, platform capabilities.
•    Drive AI use case delivery end to end collaborating with Data scientists, Data Engineers, LOB Technology using standardized platform processes and capabilities.
•    Support Production Issues partnering with production support.
Key Requirements:
•    5+ years of Python experience
•    5+ years of big data experience needed (Big Query, Hadoop)
•    3 years of experience in AIML area (MLOps)
•    2+ years of experience in developing APIs using Python/FastAPI.
•    Good to have 1+year of experience in LLM, Generative AI (developing capabilities or dev/ops)
•    Good to have Experience in developing of API on GCP/Azure/API Gateways
•    Good to have 1+year of experience in Vector Database, Model Development would be added benefit.