Senior AI - ML Engineer

Fortive

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

8 days ago

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Benefits offered by this job

Bonus or Equity

Job summary

Fortive seeks a Senior AI/ML Engineer to provide technical leadership in our AI and Automation team. You will drive design and delivery of major AI programs, scaling ML/LLM systems, RAG, and agentic AI while mentoring engineers and aligning solutions with business goals.

Responsibilities include architecture ownership, responsible-AI practices, and establishing reusable frameworks across enterprise-scale initiatives. Strong collaboration with product leaders is essential for impact.

Qualifications

Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field (advanced degree preferred).
8-15 years of professional experience in AI, ML, or software engineering, with production ML/AI delivery.
Expert-level Python engineering and strong software-architecture background.
Proven track record designing and scaling Generative AI/LLM systems in production.
Hands-on experience with agentic AI frameworks and complex RAG architectures.
Strong MLOps/LLMOps expertise: CI/CD, monitoring, evaluation, and automation.
Experience with Azure, AWS, or Google Cloud and distributed systems.
Demonstrated technical leadership: mentoring, setting standards.
Understanding of responsible AI, security, governance, and cost optimization.
Excellent communication skills to influence engineers and stakeholders.

Responsibilities

Lead design and delivery of large ML and LLM systems balancing performance and cost.
Own architecture of major AI features and services.
Design and scale advanced RAG and knowledge systems with hybrid retrieval.
Lead design of Agentic AI and multi-agent systems: orchestration and reliability.
Mature MLOps/LLMOps: CI/CD, monitoring, drift detection, retraining.
Establish engineering standards, patterns, reusable frameworks; drive reviews.
Promote responsible AI, security, guardrails, and cost optimization across projects.
Lead cross-functional delivery and manage technical risk and dependencies.
Mentor engineers across levels and grow team capability.
Partner with product/business leaders to shape solutions and quantify impact.
Evaluate emerging models/tools and translate to pragmatic solutions.
Produce and review high-quality design docs and deployment artifacts.

Skills

Python

ML/AI System Design

Generative AI

LLM Deployment

MLOps

Cloud Platforms

Leadership

Mentoring

Security & Governance

Communication

Education

Bachelor's or Master's in CS/AI

Tools

Kubernetes

Airflow

Ray

Triton

Job description

JOB SUMMARY

We are seeking a Senior AI/ML Engineer to provide technical leadership within our Artificial Intelligence and Automation team. The ideal candidate combines deep, hands‑on expertise in building and scaling Machine Learning and Generative AI systems with the ability to lead the design and delivery of major initiatives. You will drive the technical direction of significant AI programs across LLMs, Agentic AI, Retrieval‑Augmented Generation (RAG), MLOps platforms, and Intelligent Automation.

Senior AI/ML Engineer

8-15 Years Experience

JOB SUMMARY

KEY RESPONSIBILITIES

Lead the technical design and delivery of large, complex ML and LLM systems, balancing performance, cost, reliability, and safety.
Own the architecture of major AI features and services, making key design and technology decisions.
Design and scale advanced RAG and knowledge systems, including hybrid retrieval, re‑ranking, evaluation, and continuous improvement.
Lead the design of sophisticated Agentic AI and multi‑agent systems, including orchestration, tool use, and reliability.
Mature the team's MLOps/LLMOps practices: CI/CD, model registries, monitoring, evaluation, drift detection, and automated retraining.
Establish engineering standards, patterns, and reusable frameworks; drive code and architecture reviews.
Apply and promote responsible‑AI, security, guardrail, and cost‑optimization practices across projects.
Lead cross‑functional delivery of complex programs, managing technical risk and dependencies.
Mentor and coach engineers across experience levels and grow overall team capability.
Partner with product and business leaders to shape solution direction, prioritize work, and quantify business impact.
Evaluate and pilot emerging models, tools, and techniques, translating them into pragmatic solutions.
Produce and review high‑quality design documentation, technical specifications, and deployment artifacts.

REQUIRED QUALIFICATIONS

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (advanced degree preferred).
8-15 years of professional experience in AI, Machine Learning, or software engineering, including substantial time delivering ML/AI systems to production.
Expert‑level Python engineering skills and a strong software‑architecture background.
Proven track record designing and scaling Generative AI and LLM‑based systems in production.
Deep, hands‑on experience with agentic AI frameworks and complex RAG architectures.
Strong MLOps/LLMOps expertise: CI/CD, monitoring, evaluation, and lifecycle automation.
Extensive experience with at least one major cloud platform (Azure, AWS, or Google Cloud) and containerized, distributed systems.
Demonstrated technical leadership: leading designs, mentoring engineers, and setting standards.
Solid understanding of responsible AI, security, governance, and cost optimization.
Excellent communication skills, able to influence both engineers and senior stakeholders.

PREFERRED SKILLS

Deep proficiency across the modern AI stack: PyTorch, TensorFlow, Hugging Face, and distributed training/inference.
Production experience with multiple LLM providers (OpenAI, Anthropic Claude, Azure OpenAI, Gemini) and open‑weight models.
Experience with fine‑tuning, LoRA/PEFT, distillation, and model optimization/serving (vLLM, TGI, Triton).
Advanced experience with vector databases and large‑scale retrieval systems.
Expertise with orchestration and platform tooling such as Kubernetes, Airflow, and Ray.
Experience building LLM evaluation, observability, and guardrail frameworks.
Track record of introducing reusable platforms, frameworks, or accelerators.
Open‑source contributions, publications, patents, or conference talks in the AI community.

WHAT THIS ROLE OFFERS

Technical leadership of high‑impact, enterprise‑scale AI and Automation programs.
Deep involvement in architecting next‑generation Agentic AI and LLM systems.
Influence over engineering standards, responsible‑AI practices, and team capability.
A clear path toward Principal‑level technical leadership.
The opportunity to mentor and grow a strong AI engineering team.

Fortive Corporation Overview

Fortive’s essential technology makes the world safer and more productive. We accelerate transformation in high‑impact fields like workplace safety, build environments, and healthcare.

We are a global industrial technology innovator with a startup spirit. Our forward‑looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission‑critical solutions. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.

We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.

At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference.

At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.

At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating.

Fortive: For you, for us, for growth.

We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com.