Your browser does not support javascript! Please enable it, otherwise web will not work for you.

LMTS - Lead AI/ML Engineer

Home > Python programming jobs

LMTS - Lead AI/ML Engineer in Others new

  • Informatica
  • Full time
  • Email
  • Bengaluru, India

Responsibilities

  • Train, adapt, fine-tune, evaluate, and serve open-weight language models for enterprise workflows.
  • Own post-training experiments using SFT, LoRA/QLoRA, DPO, ORPO, GRPO, RLVR, distillation, and other preference or reinforcement-learning methods.
  • Generate, curate, filter, version, and quality-control synthetic instruction data, conversations, reasoning traces, tool calls, preference pairs, and structured-output datasets.
  • Build the data engine for provenance, deduplication, contamination controls, dataset splitting, packing, tokenization, and loss masking.
  • Design held-out evaluations, human and model-based reviews, error taxonomies, ablation studies, regression analysis, and safety assessments.
  • Investigate failures across data, objectives, model behavior, prompts, retrieval, tools, context handling, and serving systems.
  • Build production-grade model-serving, inference, tool-integration, structured-output, function-calling, and multi-step agent capabilities.
  • Improve observability, traceability, testing, developer workflows, security, scalability, and operational reliability across the training and serving lifecycle.
  • Collaborate with domain experts to convert enterprise workflows and failure cases into verifiable training and evaluation material.
  • Make architecture and design decisions, review technical changes, mentor engineers, and provide technical leadership.

Requirements

  • 10+ years of software engineering experience, including technical leadership on production systems.
  • Strong Python engineering experience building and maintaining reliable production systems.
  • Hands-on ownership of LLM post-training, including materially improving open-weight language models through SFT and LoRA/QLoRA; API integration alone does not qualify.
  • Hands-on experience generating, filtering, reviewing, and versioning task-specific training datasets.
  • Practical understanding of chat templates, tokenizer behavior, sequence packing, loss masking, optimization schedules, checkpointing, distributed or memory-efficient training, and inference tradeoffs.
  • Experience creating and evaluating reasoning, tool-use, or structured-output training data and understanding their correctness and failure modes.
  • Experience with held-out datasets, quality metrics, experiment design, ablation studies, regression analysis, and human-review workflows.
  • Strong software-engineering fundamentals in API design, testing, debugging, observability, version control, and technical writing.
  • Ability to investigate ambiguous failures across models, data, prompts, retrieval, tools, and backend services.
  • Demonstrated leadership in architecture, design reviews, code reviews, and mentoring engineers.
  • Ability to work across application and ML layers and use AI tools effectively in development workflows.
  • Advanced prompt-engineering skills and ability to create precise, structured prompts and reliable system context.
  • Preferred experience with enterprise platforms, APIs, data systems, identity controls, tool-using AI applications, and complex or regulated-industry workflows.
  • Preferred deep experience with LLM preference optimization or reinforcement learning, distributed or resource-constrained training and inference, retrieval evaluation, security and data governance, and production AI releases.

Benefits

  • Salesforce provides benefits and resources intended to support balance and personal well-being.
  • The role follows Salesforce's hybrid work model.
  • Salesforce offers reasonable accommodations during the application and recruiting process.

Informatica

Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, Informatica’s Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industr...

Similar positions

Research Engineer, Synthetic Data

  • Pragmatike
  • Full time
  • Remote
  • 11/14/2026
  • APAC, US

Intern, Compiler Engineer

  • Samsung Semiconductor
  • Full time
  • USA
  • 11/14/2026
  • San Jose, CA

AI Scientist, Agentic CAD (AI4Engineering)

  • Mistral
  • Full time
  • Remote
  • 11/14/2026
  • Salary: Competitive
  • Europe

Senior Cloud Network Engineer

  • Nubank
  • Full time
  • Others
  • 11/14/2026
  • Campinas, Brazil

Sr. Data Engineer

  • KnowBe4
  • Full time
  • Others
  • 11/14/2026
  • Bengaluru, India

Listings

by


Job Type

Language

Country

CodingJobBoard.com © 2026