Ai Ml Engineer
- Cirruslabs
- 7 - 11 years
- Hyderabad
- 3 days ago
- Email to a friend
- Report this job
Job Description
We are CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.
You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.
You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented Senior / Lead Agentic AI & Data Science Engineer (Product Engineering) to join our team. If you're excited to be part of a winning team, CirrusLabs ( http://www.cirruslabs.io ) is a great place to grow your career.
Experience - 7-10 years
Location - Bengaluru
Work Timings - 2pm - 11pm IST
Experience
710 years total experience in Data Science, AI/ML Engineering, and Product Engineering
Strong hands-on experience in building, deploying, and scaling Agentic AI systems in production
Role Summary
We are looking for a Senior Agentic AI & Data Science Engineer with a deep product engineering background to architect, develop, deploy, and operate production-grade AI systems .
The role requires end-to-end ownership of AI productscovering agent design, ML modeling, system architecture, MLOps, multi-cloud deployment, security, and scalability . The ideal candidate combines strong AI research intuition with real-world engineering excellence .
Core Responsibilities
Agentic AI & LLM Systems
- Design, implement, and optimize Agentic AI architectures involving planning, reasoning, memory, tool-use, and orchestration.
- Build and manage multi-agent systems for complex workflows, automation, and decision intelligence.
- Implement Retrieval-Augmented Generation (RAG) pipelines with structured and unstructured data sources.
- Integrate AI agents with enterprise APIs, databases, SaaS platforms, and internal tools .
- Develop robust prompt strategies, agent workflows, fallback mechanisms, and evaluation pipelines.
- Deploy and operate LLM-based systems with cost, latency, reliability, and safety considerations.
Data Science & Machine Learning
- Build, train, evaluate, and deploy ML/DL models across NLP, structured data, time-series, recommendation, and predictive analytics.
- Perform data exploration, feature engineering, statistical analysis, and hypothesis testing .
- Design scalable training pipelines , experiment tracking, and model versioning.
- Monitor model performance, drift, bias, and data quality in production environments.
- Apply explainability and interpretability techniques where required.
Product Engineering & System Design
- Own the full AI product lifecycle : problem definition design development deployment monitoring iteration.
- Translate business and product requirements into scalable, modular, and maintainable AI solutions .
- Design distributed, fault-tolerant, and extensible architectures for AI platforms.
- Collaborate closely with product managers, UX, backend, frontend, and platform teams .
- Enforce engineering best practices including code quality, testing, documentation, and performance optimization .
Multi-Cloud & Infrastructure Engineering
- Design, deploy, and operate AI systems across AWS, Azure, and GCP (multi-cloud or hybrid).
- Use Docker, Kubernetes, Helm , and cloud-native services for scalable deployments.
- Implement Infrastructure as Code (IaC) using Terraform / CloudFormation.
- Leverage managed AI/ML services where appropriate (SageMaker, Vertex AI, Azure ML).
- Optimize cloud resource utilization and cost across environments.
Security, Governance & Reliability
- Ensure data security, privacy, and compliance across AI systems.
- Implement secure access control, secrets management, and encrypted data pipelines.
- Apply Responsible AI practices : bias detection, fairness, explainability, auditability.
- Design systems for high availability, disaster recovery, and fault tolerance .
- Establish governance standards for models, data, and AI agents.
Technical Leadership & Collaboration
- Provide technical guidance and mentorship to junior engineers and data scientists.
- Lead architecture discussions, technical reviews, and best-practice adoption.
- Drive innovation in AI/Agentic systems aligned with product and business goals.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Cloud, DevOps & MLOps
- Strong hands-on experience with AWS, Azure, and/or GCP (at least two preferred)
- Docker, Kubernetes, Helm
- CI/CD: GitHub Actions, GitLab CI, Jenkins
- MLOps tools: MLflow, Kubeflow , cloud-native ML platforms
- Monitoring and observability tools
Architecture & Distributed Systems
- Distributed systems and event-driven architectures
- Asynchronous processing and workflow orchestration
- Scalability, reliability, and performance engineering
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: CirruslabsLocation(s): Hyderabad
Keyskills: Agentic Ai Data Science Aiml Machine Learning
Similar positions
Cirruslabs
We are CirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make...
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in