About us:
Where exceptional technological talent converges with extraordinary professional opportunities!
At Xenon7, we collaborate with premier enterprises and groundbreaking startups on innovative, state-of-the-art projects utilizing advanced technologies across diverse IT domains including Data, Web, Infrastructure, AI, and numerous other sectors. Our profound expertise in IT solution development and adaptive resource allocation enables strategic partnerships driving organizational innovation and expansion. Whether empowering multinational corporations or engaging with pioneering entrepreneurial ventures, we remain dedicated to delivering sophisticated, transformative solutions addressing contemporary complex technological challenges.
We are cultivating a network of premier specialists and extending invitations to an exclusive cohort of remarkable AI & ML Professionals prepared to resolve real-world challenges and architect the future of intelligent technological systems.
Requirements
AI/ML Engineer (Mid-level, 4–6 years)
Experience Level: Mid-level, 4–6 years
Core Skills
- Programming: Python, SQL, Pandas
- ML/DL frameworks: scikit-learn, PyTorch, TensorFlow
- MLOps: Docker, CI/CD
- Cloud: AWS/Azure
- AI application essentials: RAG pipelines, embeddings/vector databases, NLP/Transformers
- Agile/SCRUM practices, communication, and estimation
Responsibilities:
- Execute and deliver enterprise agentic AI solutions under senior engineering guidance
- Contribute to solution building, model development, and integration
- Support Agile practices: sprint planning, estimation, and documentation
- Collaborate with cross-functional teams (data scientists, DevOps, product owners)
- Implement APIs, cloud-native deployments, and monitoring solutions
- Focus on execution, optimization, and delivery rather than consulting
More execution-oriented, supporting senior engineers in project completion.
Expected to contribute actively to solution building, Agile practices, and enterprise agentic AI execution.
Hyderabad, Telangana, India Remote (Global)
