AI Engineer (5-8+ Years Experience)
Role Summary
We are looking for a Senior AI/ML Engineer with strong experience in
GenAI, ML systems, and agentic AI solutions
to design, build, and operate scalable, production‑grade AI solutions for complex business problems.
Key Responsibilities
Design, develop, and deploy
scalable, secure GenAI and Agentic AI
using structured and unstructured data.
Analyze large datasets in
Snowflake
and build features for ML pipelines.
Apply ML, deep learning, NLP, time‑series, and statistical techniques to real‑world use cases.
Own
end‑to‑end ML pipelines
: data ingestion, preprocessing, training, tuning, deployment, and monitoring.
Build and maintain
agentic AI systems
using LLMs to automate complex workflows.
Implement
MLOps, AI observability, and monitoring
for model performance, drift, and reliability.
Collaborate with data engineers, product teams, and business stakeholders to integrate AI into workflows.
Provide technical leadership, guidance, and stakeholder support throughout project delivery.
Required Qualifications
7+ years
of experience in AI/ML engineering or applied machine learning.
Strong expertise in
Python
, ML frameworks, and GenAI/LLMs.
Hands‑on experience with
production ML systems and MLOps
.
Experience working with
Snowflake and cloud data platforms will be plus
Strong communication and stakeholder collaboration skills.
