Data scientist with Agentic AI and AI/ML Engineer
Work location - Whippany, NJ 07981
Is it Hybrid, onsite or remote position - Hybrid ( 2 days/week from client location)
Please confirm if the candidate can work from any Infosys DC office - No. Candidate needs to work from client location
Tentative Start date - 14th Sep 26
Contract duration - 6 months
Minimum years of experience needed in the required skills - 4+ years
Minimum over all work experience required - 4+ years
Domain - Finance, Banking etc
Mandatory skills required - Python, SQL, PySpark, AWS SageMaker, Amazon Bedrock, NLP, LLMs, Agentic AI
Complete job description -
Strong experience in designing and deploying Machine Learning, AI, Generative AI, and Agentic AI applications in financial services.
Programing skills will be Python, SQL, R, SAS, PySpark, PostgreSQL, MySQL, MongoDB, NoSQL.
Should have excellent experience in Python, SQL, PySpark, TensorFlow, AWS SageMaker, Amazon Bedrock, NLP, LLMs, Agentic AI, and MLOps to build intelligent AI applications, autonomous agent workflows, multi-agent systems, and enterprise automation solutions.
Should have good experienced in Prompt Engineering, RAG Pipelines, AI Agent Orchestration, Model Deployment, Inference Pipelines, CI/CD, and Production-Grade AI Systems, supporting enterprise automation and decision-making initiatives.
Must have hands-on expertise with LLMs, AI Agents, LangChain, LangGraph, Function Calling, Vector Databases, REST APIs, MLflow, Docker, and Kubernetes.
Candidate should have good experience in Tableau, Power BI, Rest APIs and CI/CD Pipelines.
Must have strong experience in Cloud Platforms like AWS Bedrock, SageMaker, S3, EC2, Lambda and Azure - ML Studio, Databricks & Google Cloud Platform Mandatory experience in large data processing methods . Such as Data Analysis, Predictive Modeling, Feature Engineering, Data Preprocessing, ETL Pipelines, Apache Spark, Hadoop, Kafka, Hive, Databricks, Data Modeling.
Candidate should have deep Learning, NLP & Agentic AI frame works . Such as Transformer Models, BERT, GPT, LLMs, AI Agents, MCP, A2A, LLM Evaluation, Prompt Engineering, RAG Pipelines, LangChain, Hugging Face Transformers, Fine-Tuning, LangGraph, Function Calling.
Interview mode - In person/Virtual - Virtual
How many rounds of interview - 2 ( Internal, Client)
