Artificial Intelligence/Machine Learning Lead (5-7 yrs)

Key Responsibilities :

- Hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. (Build Vs Buy Decision Maker)

- Drive innovation in AI/ML applications across various business domains and modalities (vision, language, audio).

- Knowledge of Best practices in AI/ML, MLOps, DevOps, and CI/CD for AI/ML projects.

- Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption.

Must have Technical skills Requirements :

- Overall 5 to 7 years of experience, out of which in 4+ in AI, ML and Gen AI and related technologies

- Proven track record of leading and scaling AI/ML teams and initiatives.

- Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications.

- Expertise in ML frameworks such as PyTorch and/or TensorFlow

- Experience with ONNX runtime, model optimization and hyperparameter tuning.

- Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack

- Experience in production-level deployment of AI models at enterprise scale.

- Proficiency in data preprocessing, feature engineering, and large-scale data handling.

- Expertise in image and video processing, object detection, image segmentation, and related CV tasks.

- Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications.

- Experience with speech recognition, audio classification, and general signal processing techniques.

- Experience with RAG, VectorDB, GraphDB and Knowledge Graphs

- Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI).