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 .

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AI/ML Engineer (Offshore)

Job Description

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