Lead Engineer Ai/ML

12 hours ago

Thiruvananthapuram, Kerala, India RM Technologies Full time ₹ 25,00,000 - ₹ 35,00,000 per year

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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