Lead Data Scientist/Data Scientist/Sr Eng/Eng Data Sci_Pune_Hybrid

• Overall 4+ experience 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).

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