Co-pilot Studio Developer

Date: Sep 22, 2025

Job Requisition Id: 62463

Location:
Hyderabad, TG, IN Pune, MH, IN Pune, IN Indore, MP, IN

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we're a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire AI/ML Professionals in the following areas :

Designation: AI/ML Engineer

Experience: 3+ Years

Job Type: Full-time

We are seeking a highly skilled and motivated AI Engineer to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights.

Key Responsibilities:

• AI Solution Development & Deployment:
• Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
• Develop and deploy machine learning models, particularly focusing on NLP and LLMs, utilizing frameworks such as LangChain or Semantic Kernel.
• Implement RAG architectures using Azure AI Search to enhance the performance and accuracy of generative AI applications.
• Project Delivery & Client Engagement:
• Lead and contribute to the delivery of AI projects, ensuring solutions are scalable, secure, and aligned with client objectives.
• Work in both project-based and staff augmentation roles, adapting to various client environments and requirements.
• Provide technical expertise and guidance to clients, ensuring successful adoption and integration of AI solutions.

Model Validation & Quality Assurance:

• Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and performance.
• Optimize and fine-tune models, addressing issues related to data quality, bias, and fairness.
• Stay current with industry trends and best practices in AI technology, incorporating them into solution development.

Preferred Consulting Experience:

• Collaborate with sales and delivery teams to design AI solutions that meet client needs.
• Develop estimates and proposals for AI projects, articulating the value and feasibility of proposed solutions.
• Conduct technical presentations and demonstrations to clients and stakeholders.

Education & Experience:

• Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable)
• 3+ years of experience in AI/ML development, with a focus on OpenAI Services, NLP and LLMs.
• Experience in a consulting environment, engaging with clients and delivering tailored solutions.

Technical Skills:

• Proficiency in programming languages such as Python or C#.
• Proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow.
• Experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
• Familiarity with RAG architectures and tools like LangChain, Semantic Kernel, or LlamaIndex.
• Model selection, validation, and workload optimization.
• Knowledge of data processing and pipeline development using Azure Data Factory or similar tools.
• Understanding of MLOps practices and tools for model lifecycle management.

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team in a dynamic, fast-paced environment.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture