AI / ML Engineer III

darwinbox

Bangalore, 3 Years Exp Posted 68d ago

EDUCATION: A Bachelor’s degree in quantitative fields, or related. A Master’s degree is preferred.
EXPERIENCE: 3-10 years building and delivering production ML or AI systems with measurable business impact. Experience in regulated industries (financial services, insurance, healthcare) is a plus.
Demonstrated success owning and shipping multiple stable AI/ML releases in complex environments.
Advanced proficiency in Python and modern ML frameworks (e.g., PyTorch).
Strong experience with distributed data and ML platforms (Spark, Databricks, MLflow).
Proven expertise deploying ML systems using cloud-native and containerized architectures (Azure, Kubernetes, CI/CD pipelines).
Deep understanding of machine learning and AI techniques, including:
- Supervised & unsupervised learning
- Neural networks and deep learning
- NLP and LLMs
- RAG architectures, fine-tuning, and evaluation strategies
Experience designing MLOps workflows for training, deployment, monitoring, and governance.
Familiarity with unstructured data systems, search, and retrieval (text and image) is preferred.
Proven ability to mentor and guide senior technical peers through design reviews and architectural decisions.
Strong communication skills with the ability to influence engineers, product partners, and leadership.
Comfort operating with autonomy and accountability in ambiguous, high-impact problem spaces.

Key Behaviors of a Successful Candidate

Driving Success – Sets goals that inspire others; demonstrates a high level of ambition to achieve outstanding results.
Improvement Mindset – Identifies the interrelatedness of work activities; targets important areas for improvement across business unit/functions.
Winning Together - Makes decisions in partnership with impacted business unit/function leaders with the goals of the organization in mind; acts in the best interest of the organization.