Job Description:

• Senior AI/ML Engineer to lead the development and deployment of machine learning models and AI-driven solutions. The ideal candidate will have a strong background in machine learning algorithms, AI systems, and data-driven problem-solving and will be responsible for mentoring junior engineers while ensuring the delivery of high-quality AI/ML solutions
• Lead the design, development, and deployment of machine learning models and AI-driven solutions.
• Architect AI/ML pipelines and ensure seamless integration with existing data infrastructure.
• Mentor and guide junior engineers, enforcing best practices in AI/ML development.
• Collaborate with cross-functional teams (data science, engineering, product management) to identify business problems and develop AI/ML solutions.
• Build and deploy scalable machine learning models into production environments.
• Implement robust validation techniques to ensure model accuracy, reliability, and performance across diverse datasets.
• Optimize AI models for performance and scalability, ensuring low-latency inference where required.
• Stay ahead of industry trends by conducting research on new AI/ML algorithms and frameworks.
• Communicate technical concepts and results effectively to both technical and non-technical stakeholders.
• Take ownership of the end-to-end machine learning lifecycle, including data collection, model development, validation, deployment, and monitoring.
• Lead code reviews, best practices, and quality control in AI/ML model development.

Qualification / Experience:

• Master’s or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of hands-on experience in machine learning, deep learning, or AI system development.
• Strong expertise in Python and ML libraries (TensorFlow, Keras, PyTorch, Scikit-learn, Ollama).
• Proven experience in deploying and managing ML models in production environments using cloud platforms (AWS, Google Cloud, or Azure).
• Strong understanding of algorithms, statistics, and data structures.
• Experience with MLOps tools and practices for CI/CD in AI/ML model deployment.
• Excellent problem-solving skills, especially in working with complex, unstructured data.
• Proven track record of leading AI/ML projects from concep to production.
• Strong communication and interpersonal skills, with the ability to work with stakeholders at all levels

Skills & Abilities:
Bachelor’s degree in a relevant field