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TaskUs

Lead AI/ML Engineer

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In-Office
6 Locations
Senior level
In-Office
6 Locations
Senior level
Lead design and delivery of production-grade AI/ML systems (NLP, NLU, LLMs). Define end-to-end pipelines, establish engineering standards, mentor engineers, optimize models for scale, manage delivery timelines, and collaborate with product teams to implement generative AI solutions.
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About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. 

The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world.

What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.

Lead AI/ML Engineer

Purpose

To lead the design, architecture, and delivery of enterprise-grade AI/ML solutions using NLP, NLU, LLM, and Generative AI technologies, while providing technical leadership, mentoring engineers, and ensuring scalable, production-ready AI systems.

Responsibilities & Authorities

  • Lead architecture and development of advanced AI/ML solutions
     

  • Define and implement end-to-end AI pipelines (data → model → deployment → monitoring)
     

  • Establish AI engineering standards, best practices, and governance
     

  • Mentor AI/ML engineers and enforce code quality and technical excellence
     

  • Collaborate with product and business teams to translate requirements into AI solutions
     

  • Optimize models for performance, scalability, and production reliability
     

  • Evaluate and adopt new AI tools, frameworks, and technologies
     

  • Own delivery timelines, risk management, and quality standards
     

  • Communicate technical trade-offs and solutions to stakeholders
     

  • Authority over technical design, model approach, and AI architecture decisions
     

Requirements

  • Bachelor’s/Master’s degree in CS/IT/Data Science or related field
     

  • 6+ years of AI/ML experience with production deployments
     

  • Strong expertise in Python, OOP, FastAPI, Prompt Engineering
     

  • Hands-on experience with NLP, NLU, LLMs, and Generative AI
     

  • Experience with Docker, Jenkins, CI/CD, and MLOps practices
     

  • Experience leading AI/ML engineering teams
     

  • AWS AI/ML services experience preferred
     

  • Strong problem-solving and communication skills
     

Agentic Frameworks - LangChain, Multi-agent systems , Episodic memory, Semantic memory , tool orchestration.
Vector Databases / RAG - Vector DB (Anyone) , Embeddings , Hybrid search (semantic + keyword) , Chunking, context window optimization ,Metadata filtering, Hybrid pipelines
LLMs / GenAI - Prompt engineering , Fine-tuning, LoRA, PEFT , Guardrails , Context window.
Infrastructure - AWS (S3, Lambda, ECS, EKS, SageMaker) , Docker , CI/CD pipelines (Jenkins, GitHub Actions) , Model serving (FastAPI), Secrets management (AWS Secrets Manager) , GPU acceleration (CUDA)

Experience working in Agile environments

Location: Chennai, Noida, Navi Mumbai, Gurgaon, Indore & Mohali

Work Mode: Hybrid

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/.

Top Skills

Python,Fastapi,Prompt Engineering,Nlp,Nlu,Llms,Generative Ai,Docker,Jenkins,Ci/Cd,Mlops,Aws,S3,Lambda,Ecs,Eks,Sagemaker,Aws Secrets Manager,Github Actions,Langchain,Multi-Agent Systems,Vector Database,Embeddings,Hybrid Search,Lora,Peft,Guardrails,Cuda

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