Data Science Intern

Senior AI Engineer- Consultant

Job Title: Senior AI Engineer

Location: Bengaluru/ Pune/ Gurgaon

Experience: 4+ years

Employment Type: Full-time

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About the Role

We are looking for an experienced and innovative Senior AI Engineer to lead the design and development of advanced AI solutions. This role involves driving complex projects, mentoring junior engineers, and ensuring best practices in AI engineering. The ideal candidate will have deep expertise in Generative AI, RAG-based solutions, and cloud-native AI development, with strong problem-solving skills and a passion for building scalable, secure, and intelligent systems.

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Educational Qualifications

• Bachelor’s Degree in a technical or quantitative field from an accredited institution.

• Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred.

________________________________________

Must-Have Skills and Experience

Generative AI & Advanced AI Engineering

• Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG)

• Hands-on experience with LLM-based solutions and Generative AI frameworks

Cloud AI Development

• Proven experience developing & deploying AI/ML solutions on Azure

• Knowledge of cloud-native architectures and MLOps pipelines

Core AI & Data Science

• Strong mathematical and algorithmic foundation

• Proficiency in Python, SQL, and enterprise-grade AI tools

• Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis

• Familiarity with NLP, transformer architectures, and model optimization

________________________________________

Good-to-Have Skills

Agentic AI & Automation

• Autonomous Agent Development and multi-agent orchestration

• Workflow automation for intelligent systems

• LLMOps, fine-tuning foundation models

• Development of multi-modal AI applications (text, image, audio)

________________________________________

Leadership & Collaboration

• Ability to mentor junior engineers and contribute to architectural decisions

• Experience working in agile, cross-functional teams

• Strong stakeholder management and solution-oriented mindset

________________________________________

What We Offer

• Opportunity to lead cutting-edge AI projects across industries like Finance, Healthcare, Automotive, Retail, and Manufacturing

• A collaborative and inclusive work culture

• Continuous learning and career advancement opportunities

Job Title: Senior AI Engineer

Location: Bengaluru/ Pune/ Gurgaon

Experience: 4+ years

Employment Type: Full-time

________________________________________

About the Role

We are looking for an experienced and innovative Senior AI Engineer to lead the design and development of advanced AI solutions. This role involves driving complex projects, mentoring junior engineers, and ensuring best practices in AI engineering. The ideal candidate will have deep expertise in Generative AI, RAG-based solutions, and cloud-native AI development, with strong problem-solving skills and a passion for building scalable, secure, and intelligent systems.

________________________________________

Educational Qualifications

• Bachelor’s Degree in a technical or quantitative field from an accredited institution.

• Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred.

________________________________________

Must-Have Skills and Experience

Generative AI & Advanced AI Engineering

• Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG)

• Hands-on experience with LLM-based solutions and Generative AI frameworks

Cloud AI Development

• Proven experience developing & deploying AI/ML solutions on Azure

• Knowledge of cloud-native architectures and MLOps pipelines

Core AI & Data Science

• Strong mathematical and algorithmic foundation

• Proficiency in Python, SQL, and enterprise-grade AI tools

• Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis

• Familiarity with NLP, transformer architectures, and model optimization

________________________________________

Good-to-Have Skills

Agentic AI & Automation

• Autonomous Agent Development and multi-agent orchestration

• Workflow automation for intelligent systems

• LLMOps, fine-tuning foundation models

• Development of multi-modal AI applications (text, image, audio)

________________________________________

Leadership & Collaboration

• Ability to mentor junior engineers and contribute to architectural decisions

• Experience working in agile, cross-functional teams

• Strong stakeholder management and solution-oriented mindset

________________________________________

What We Offer

• Opportunity to lead cutting-edge AI projects across industries like Finance, Healthcare, Automotive, Retail, and Manufacturing

• A collaborative and inclusive work culture

• Continuous learning and career advancement opportunities

Data Science: Associate Consultant

Experience: 3+ years

Requirement:

• Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.
• Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

 

Must-Have Skills and Experience

Generative AI & Advanced AI Engineering

• Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG)
• Hands-on experience with LLM-based solutions and Generative AI frameworks

Cloud AI Development

• Proven experience deploying AI/ML solutions on Azure
• Knowledge of cloud-native architectures and MLOps pipelines

Core AI & Data Science

• Strong mathematical and algorithmic foundation
• Proficiency in Python, SQL, and enterprise-grade AI tools
• Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis
• Familiarity with NLP, transformer architectures, and model optimization

________________________________________

Good-to-Have Skills

Agentic AI & Automation

• Autonomous Agent Development and multi-agent orchestration
• Workflow automation for intelligent systems
• LLMOps, fine-tuning foundation models
• Development of multi-modal AI applications (text, image, audio)

________________________________________

Leadership & Collaboration

• Ability to mentor junior engineers and contribute to architectural decisions
• Experience working in agile, cross-functional teams
• Strong stakeholder management and solution-oriented mindset

 

Experience Level

Senior Level