Role Summary :

We are seeking a Senior Advanced AI Engineer to design, develop, and deploy end-to-end AI/ML solutions that power next-generation intelligent and autonomous systems. The ideal candidate will be a hands-on technical leader who can build scalable AI architectures, optimize models, and establish best practices in MLOps, while mentoring junior team members in a full-stack AI/ML environment.

Key Responsibilities :

- Design and implement high-performance AI/ML models and workflows on cloud platforms such as Databricks, Vertex AI, or equivalent.

- Build and optimize MLOps pipelines using frameworks like MLflow or Kubeflow, integrating seamlessly with DevOps ecosystems.

- Evaluate models for performance, bias, and drift, and implement proactive mitigation strategies.

- Develop and integrate AI capabilities across Time Series, Computer Vision, NLP, and GenAI (RAG/Agentic AI) domains.

- Collaborate cross-functionally with Data Engineering, ML Engineering, and Product teams for scalable, production-ready deployments.

- Mentor and guide junior engineers, promoting excellence in ML development and best coding practices.

Preferred Competencies :

- End-to-end AI/ML lifecycle expertise from data ingestion to deployment and monitoring.

- Strong analytical mindset with emphasis on data-driven decision-making.

- Hands-on experience with cloud platforms (AWS / Azure / GCP) for large-scale training and deployment.

- Excellent communication and documentation skills, with the ability to simplify complex concepts.

- Familiarity with Agile/Scrum methodologies.

Qualifications & Experience :

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field.

- 68 years of hands-on experience in developing and deploying machine learning models in production.

- Proven experience with TensorFlow, PyTorch, and modern MLOps practices (CI/CD, containerization, orchestration).

- Strong proficiency in Python; additional experience in Scala or Java is a plus.

Why Join :

- Opportunity to work on cutting-edge AI and GenAI projects with end-to-end ownership.

- Remote flexibility with a high-impact engineering culture.

- Exposure to modern AI stacks, model optimization, and production-grade ML architecture.