Description

Job Description

Responsibilities:

• Demonstrate the ability to designs and implement the components of GenAI and/or Agentic AI solutions using state of the art technologies
• Understands architecture of large-scale software solutions that seamlessly merge traditional software modules with GenAI / AI components
• Efficiently uses software development life cycle ( SDLC) principles across projects
• Knows implementation of Event-Driven Architectures (EDA) - Proven ability to design decoupled systems using different messaging patterns (Sync / Async). Must be proficient with message brokers such as Amazon SQS, RabbitMQ, or Apache Kafka/MSK.
• Effectively leverages observability tools like New Relic, Grafana
• Demonstrates ability to break down complex problems into manageable, iterative technical solutions
• Knowledge on cloud technology (AWS preferred)
• Identify trends, patterns from dataset to scope opportunities for automation
• Aids deployment of machine learning models into production environments,
• Works with Front End, Data Engineering and DevOps teams to seamlessly integrate the software and deploy into production environment
• Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy.
• Demonstrates ability to design the experiments for given work and explain the experiments and their outcome to relevant stake holders
• Efficiently use Gen AI based coding tools (Copilot preferred) to implement, perform code review, develop test cases
• Exploration of new trends / developments in AI space (Example: Tensors, MCP, etc.)

Qualifications and Desired Experience:

• We are looking for a candidate with 4 to 8 years of experience in a Data science role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Master’s degree is desirable
• Expertise in Python language stack and familiarity in Golang stack
• 1+ years of experience in development of production grade GenAI and/or Agentic AI solutions
• Candidates who have worked/working on Agentic AI shall be preferred
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs
• Experience supporting and working with multi-functional teams in a multidimensional fast paced environment.
• Good team worker with excellent interpersonal, written, verbal and presentation skills
• Good knowledge on Software Development Life Cycle and Agile principles
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow, NLP libraries
• Experience working with Databricks, Snowflake platforms
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Good knowledge in – RESTful Services, implemented statelessness, Cache ability, and Uniform Interface across services
• Experience with AWS technologies
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools

Key Skills

Education

Any Graduate