Hiring.Camp

Technical Lead - AI/ ML

Mksinst

·

Feb 18, 2026

Location
India Gurgaon
Type
Full-time
Department
IT
Seniority
Lead
Closing date
Mar 31, 2026
Source
Workday

Description

A Day in Your Life at MKS:

We are seeking a skilled AI/ML Developer with a strong background in Machine Learning, Natural Language Processing (NLP), and Python. The ideal candidate will have experience in developing and deploying AI-driven applications, particularly using Streamlit for web applications, and working with Azure Cloud services. You will be responsible for selecting appropriate large language models based on problem descriptions, conducting prompt engineering, and utilizing Azure OpenAI Studio and Azure AI Services to build scalable, serverless applications.

Key Responsibilities:

  • Machine Learning & NLP:

    • Develop and implement machine learning models, particularly in natural language processing.

    • Apply statistical analysis and machine learning techniques to large datasets.

    • Optimize and fine-tune models for performance and scalability.

  • Python & Streamlit:

    • Develop and deploy web applications using Python and Streamlit.

    • Ensure seamless integration of AI/ML models within web applications.

  • Large Language Model Selection:

    • Evaluate and select appropriate large language models based on problem descriptions.

    • Implement and fine-tune models for specific use cases.

  • Prompt Engineering:

    • Design and refine prompts for language models to improve output quality and relevance.

    • Experiment with various prompt engineering techniques to enhance AI-driven solutions.

  • Azure OpenAI Studio & Azure AI Services:

    • Utilize Azure OpenAI Studio to develop, train, and deploy AI models.

    • Leverage Azure AI services, including the Chat Playground, to build intelligent applications.

    • Develop and Deploy scalable serverless functions on Azure Cloud.

  • Application Development & Deployment:

    • Develop and deploy AI/ML-powered applications on Azure Cloud.

    • Ensure applications are scalable, efficient, and maintainable.

    • Implement best practices .

#L1-AM2

Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to various export control regulations.  Applicants for these positions may be limited (by, for example, their countries of citizenship, country of origin, or immigration status) where required by law or governmental contact, and/or employment made contingent upon the issuance of appropriate governmental licensing.

MKS Inc. and its affiliates and subsidiaries (“MKS”) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies.  MKS is generally only hiring candidates who reside in states where we are registered to do business.

MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: [email protected] .

If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role

Skills

PythonAzureMachine LearningNLP

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Technical Lead - AI/ ML at Mksinst | Hiring.Camp