Senior Data Scientist

Responsibilities:
Overall 4+ years of experience, out of which in 3+ 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 Tensor Flow

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

Experience of Dev Ops, SDLC, CI/CD, and MLOps practices - Dev Ops/MLOps Tech Stack:
Docker, Kubernetes, Jenkins, Git, CI/CD, Rabbit

MQ, 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, Vector

DB, Graph

DB 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 Sage Maker, Azure ML, Google Cloud AI).

Required 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.