Practice Head Data Science

Responsibilities -

• Overall 8+ 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).

Required Skills

• Soft Skills

• Strong leadership and team management skills.

• Excellent verbal and written communication skills.

• Strategic thinking and problem-solving abilities.

• Adaptability and adapting to the rapidly evolving AI/ML landscape.

• Strong collaboration and interpersonal skills.

• Ability to translate market needs into technological solutions.

• Strong understanding of industry dynamics and ability to translate market needs into technological solutions.

• Demonstrated ability to foster a culture of innovation and creative problem-solving