Cubastion Consulting - Data Scientist

About Cubastion

Cubastion Consulting Pvt. Ltd. is a prominent consulting firm that specializes in providing comprehensive business solutions to its clients. With a focus on delivering high-quality digital transformation services, fostering innovation and growth, building strong client relationships, and achieving sustainable success with delivery certainty, Cubastion Consulting sets itself apart as a leading player in the market.

Our superpower is people, who help drive delivery success across the following focus areas.

Digital Transformation | Performance Assurance | Process Excellence | Tech-Driven Engagements | Complex Solutions | Large Volumes.

At Cubastion Consulting, Our Primary Objective Is To Deliver Tailored And Impactful Solutions That Address Each Client's Unique Needs And Challenges. We Firmly Believe That Excellence Is Achieved Through Meticulous Research, The Utilization Of Industry Best Practices, And The Expertise Of Seasoned

Gurgaon (travel readiness outside home residence is : 8+ & RESPONSIBILITIES :

• Lead the architecture and deployment of LLM and GenAI-based applications.
• Fine-tune and optimize state-of-the-art LLMs including GPT, LLaMA, Claude, Mistral, etc.
• Design and implement advanced prompt engineering and Retrieval-Augmented Generation (RAG) systems.
• Collaborate with data scientists, backend engineers, and product teams to deliver robust AI driven solutions.
• Ensure security, performance, and cost optimization in model training and deployment.
• Translate complex business requirements into scalable GenAI solutions.
• Maintain best practices in code quality, version control, and SKILLS :
• Proven expertise in LLM fine-tuning, deployment, and inference workflows.
• Strong experience in Prompt Engineering and RAG (Retrieval-Augmented Generation) systems.
• Proficient in Python with hands-on experience in building AI pipelines.
• Demonstrated ability to lead system design and architecture for GenAI SKILLS :
• Familiarity with GenAI toolkits such as LangChain, LlamaIndex, Haystack, or custom-built frameworks.
• Exposure to Microsoft Azure (preferred over AWS or GCP) for cloud deployments.
• Experience with scalable, secure AI infrastructure and CI/CD pipelines for ML models.
  
  

Immediate Joiners preferred.

(ref:hirist.tech)