AI/ML Developer

Job Title:

Location:

About the Role:

Join SynRadars transformation team to build the next generation of AI-powered multi-agent GRC automation. You will design, develop, and deploy intelligent agents that orchestrate compliance, risk management, and evidence gathering workflows at scale. Youll work closely with product leads, security architects, and DevOps to bring modular, enterprise-grade automation to regulated industries.

Key Responsibilities

• Develop AI-Driven Agents:
• Architect, implement, and deploy AI/ML agents for core compliance use-cases (control extraction, gap assessment, evidence collection, risk analytics, policy alignment, etc.).
• Build and maintain scalable Python modules for agent-to-agent (A2A) communication, orchestration, escalation, and workflow automation.
• Model Lifecycle & Serving:
• Train, fine-tune, and package NLP, document parsing, and decision intelligence models using Python-based stacks (e.g., PyTorch, TensorFlow, Scikit-learn, spaCy).
• Integrate with AWS SageMaker and ECS for secure, performant model serving in private cloud subnets.
• System Integration:
• Build connectors and adapters for enterprise integrations (e.g., Jira, Teams, ServiceNow, SharePoint, SIEM, IAM systems).
• Ensure robust API and event-driven (A2A/message bus) flows between agents and other microservices.
• Collaboration & Agile Delivery:
• Work with fellow developers, product leads, auditors, and compliance SMEs to rapidly translate regulatory needs into features.
• Participate in architecture reviews, security assessments, and CI/CD pipeline enhancements.
• Code Quality, Monitoring, and Compliance:
• Write clear, maintainable, and test-driven Python code.
• Instrument code for observability with CloudWatch, X-Ray, Logs, and other security monitoring tools.
• Document solutions and ensure traceability for audit and evidence management.

Required Skills & Experience:

• Education: B.Tech/M.Tech/MCA or equivalent in Computer Science, Engineering, or quantitative field.

• Programming:

• 1-3+ years hands-on experience with Python (OOP, API development, concurrency).
• Solid grasp of ML frameworks (PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace, etc.).

• AI/ML Development:

• Experience with NLP, document parsing/classification, and workflow automation.
• Model packaging, optimization, and cloud-based deployment (preferably AWS).

• Cloud & DevOps:

• Familiarity with AWS ECS, SageMaker, Lambda, API Gateway, S3, CI/CD with GitHub Actions or AWS CodeBuild.
• Experience with Docker containerization and microservices.
• Integration & Communication:
• Building REST APIs, message buses (Pub/Sub, SQS, EventBridge), and working with agent orchestration protocols.

• Security & Compliance Awareness:

• Understanding of secure coding principles and data isolation (multi-tenancy).
• Exposure to GRC, audit, or compliance automation is a big plus.

Bonus Skills

• Experience in regulated domains (FinTech, Healthcare, SaaS GRC).
• Applied knowledge of multi-agent systems or agentic workflows.
• Contributions to open-source Python/ML projects.
• Understanding of AWS security monitoring and secrets management.
• Prior experience with VPC, networking in AWS environments.

What Youll Get

• Opportunity to work at the cutting edge of AI, automation, and compliance technology.
• Collaborative and high-impact team environment.
• Access to AWS cloud stack, CI/CD pipelines, and production ML systems.
• Competitive compensation and fast-track career growth.

• Immediate joiners are preferable

Apply now or Send your resume and a brief example of a Python-based agent/ML service you built (link, repo, or description preferred) tohr@synradar.com.