Lead Engineer Ai/ML
1 day ago
Job Title:
AI/ML Lead Engineer
Experience Level:
8–10 years
Location:
Trivandrum / Bangalore
Positions:
1 (FTE)
Budget:
Up to 35 LPA
Notice Period:
Immediate – 15 days
Client & Payroll:
Speridian
Work Mode:
Onsite
Interview Mode:
Virtual
Role Overview
We are seeking a highly experienced and technically adept
AI/ML Lead Engineer
to spearhead a strategic initiative focused on analyzing annual changes in
IRS-published TRCs
and assessing their downstream impact on enterprise codebases.
This role requires deep expertise in
machine learning, knowledge graph technologies, and software engineering processes
, along with proven experience in delivering
production-grade AI solutions
in complex enterprise environments.
Key Responsibilities
- Architect and develop an
AI/ML-based system
to detect and analyze year-over-year differences in IRS TRC publications. - Build and implement
knowledge graphs
to model relationships between TRC changes and impacted code modules. - Collaborate closely with
tax domain experts, software engineers, and DevOps teams
to ensure seamless integration into workflows. - Define and enforce
engineering best practices
including CI/CD, version control, testing, and model governance. - Manage the
end-to-end lifecycle
of the solution—from data ingestion and model training to deployment and monitoring. - Ensure
scalability, reliability, and performance
of deployed systems in production. - Mentor junior engineers and foster a
culture of technical excellence and innovation
.
Required Skills & Experience
- 8+ years in
software engineering
, with at least 5 years in
AI/ML solution delivery
. - Strong expertise in
Python, TensorFlow/PyTorch, and ML Ops frameworks
. - Hands-on experience with
Knowledge Graph technologies
(Neo4j, RDF, SPARQL, GraphQL). - Proficiency in
NLP techniques
for document comparison and semantic analysis. - Solid understanding of
software architecture, microservices, and API design
. - Strong leadership skills with the ability to
deliver complex cross-functional projects
. - Excellent communication and stakeholder management abilities.
- Familiarity with
tax-related data structures (IRS TRCs)
is a plus.
Preferred Qualifications
- Experience with
regulatory or compliance-driven AI applications
. - Exposure to
code analysis tools
and static/dynamic code mapping techniques. - Hands-on experience with
cloud platforms (Azure, AWS, GCP)
and
containerization (Docker, Kubernetes)
. - Contributions to
open-source AI/ML or graph-based projects
.
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