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GyanSys Inc. Linkedin · Posted 2mo ago

GyanSys - Senior AI/ML Engineer/Data Scientist

India

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Description

GyanSys is looking for Sr. AI ML / Data Scientist (Senior/Lead Role) for our overseas customers consulting Projects based in Americas/Europe/APAC region.

Experience : 4+ Yrs - relevant

Location : Bangalore , ITPL /Remote

Notice Period : Immediate or 15 days max

Job Description

AI Agent Development & LLM Integration :

  • Build AI agents using frameworks like LangGraph, Autogen, Crew, or PydanticAI.
  • Design and optimize prompt engineering workflows for LLMs (e.g., GPT, Claude, LLaMA).
  • Develop modular, reusable components for agent orchestration and task automation.

Application Deployment & Infrastructure

  • Deploy models using Databricks and ARO/AKS (Azure), integrating with enterprise-grade systems.
  • Implement APIs, WebSockets, and event-driven architectures for real-time AI services. (Nice to have)
  • Collaborate with platform teams to ensure scalable and secure deployments.

Development & Automation

  • Work with CI/CD pipelines using Jenkins to automate testing and deployment.
  • Use Claude code, or similar tools to accelerate development.
  • Maintain high code quality and documentation standards using Git, Jira, and Confluence

Must-Have Skills

  • 3 to 6 years of experience working Machine Learning / Artificial Intelligent or related fields.
  • 1+ years of experience building Generative AI Applications for enterprise, deep understanding of workflows like RAG.
  • Strong proficiency in Python and modern development practices.
  • Hands-on experience with LLMs and prompt engineering.
  • Familiarity with Databricks and cloud-native deployment strategies.
  • Understand REST APIs, WebSockets, and event-driven systems.
  • Familiarity with SDLC best practices and agile methodologies.
  • Proficiency with using CI/CD tools (Jenkins) and version control (Git).
  • Comfortable using AI-augmented development tools for rapid prototyping.
  • Knowledge of enterprise security, compliance, and governance in AI systems.

Nice-to-Have Skills

  • Exposure to MLOps/LLMOps workflows and model monitoring.
  • Exposure to best practices for code and model lifecycle management.

Soft Skills & Mindset

  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Self-starter with a growth mindset and curiosity for emerging AI trends.
  • Ability to work in cross-functional teams and adapt to evolving priorities.

Kindly apply only if your profile fits the above pre-requisites.

(ref:hirist.tech)

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