Senior AI ML Engineer-Team Lead

As a Senior AI/ML Engineer/Team Lead at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection.

will include mentoring a team of AI/ML professionals, collaborating with cross-functional teams, and driving innovation by integrating state-of-the-art research with scalable production systems.

: - Design & Implementation: - Architect and develop end-to-end ML solutions for predictive analytics, anomaly detection, computer vision, and NLP. - Utilize advanced techniques like deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) for addressing complex challenges. - Optimization: - Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search). - Optimize models for accuracy and inference speed to meet real-time processing

. - Data Pipeline Development: - Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark for processing large-scale datasets from various sources. - Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics. - Research & Innovation: - Conduct research on state-of-the-art ML techniques such as Transfer Learning, Transformer models, and AutoML to enhance model performance. - Innovate new algorithms for specialized tasks like geospatial analysis, environmental modeling, or cybersecurity threat detection. - Deployment, MLOps & Performance Monitoring: - Deploy models using containerization (Docker) and orchestration tools (Kubernetes) for scalable production environments. - Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning. - Collaboration & Leadership: - Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products. - Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.