GyanSys - Senior AI/ML Engineer/Data Scientist

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.