 
						Senior Advanced Artificial Intelligence Engineer
2 days ago
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.
 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.
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