Data Science Manager

About Us:

Primary Responsibilities:

• Develop and implement AI and machine learning strategies for several healthcare domains
• Hands on Experience in AI and drive the development of innovative AI and machine learning solutions
• Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives
• Manage the development and deployment of AI and machine learning solutions
• Develop and run pipelines for data ingress and model output egress.
• Develop and run scripts for ML model inference.
• Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions.
• Identify technical problems and develop software updates and fixes.
• Develop scripts or tools to automate repetitive tasks.
• Automate the provisioning and configuration of infrastructure resources.
• Provide guidance on the best use of specific tools or technologies to achieve desired results.
• Create documentation for infrastructure design and deployment procedures.
• Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc.
• Lead and manage AI/ML teams and projects from ideation to delivery and evaluation.
• Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models.
• Proficiency in Python, R, or other programming languages for data analysis and AI/ML development.
• Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively.

Required Qualifications:

• A bachelor’s/master degree in computer science, engineering, mathematics, statistics, or a related discipline
• 12+ years of experience in Software Engineering, Data Science, or Analytics with at least 8 years of experience in AI/ML engineering or related fields
• Experience with cloud platforms and services, such as AWS, Azure, GCP, etc.
• Experience in developing solutions in the NLP space and relevant projects.
• Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP.
• Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering.

. Demonstrated experience in leading and managing AI/ML teams and projects, from ideation to delivery and evaluation

• Familiarity with both open-source and OpenAI LLMs and RAG architecture.
• Proficient in Python and one of PySpark or Scala. Familiarity with python tools for data processing
• Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML)
• Knowledge of NLP literature, thrust areas, conference venues, and code repositories.
• Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers.
• Proficiency in libraries such as Hugging Face and OpenAI API.
• Experience with Azure development environments
• Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts and results to technical and non-technical audiences
• Solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism
• A passion for learning and staying updated with the latest AI/ML trends and research