Senior Data Scientist/Python Engineer

Responsibilities

•Architect and Develop AI Solutions:

oCollaborate with cross-functional teams to design and implement AI models and applications.

oLeverage GenAI Stack to create intelligent systems that solve complex business problems.

oIntegrate AI components with existing systems and APIs.

•AWS Solutions and Infrastructure:

oProficiency in AWS services, including Amazon Bedrock, SageMaker, and Inferentia.

oDesign scalable and cost-effective architectures for AI workloads on AWS.

oOptimize performance and cost using serverless and containerized solutions.

•Machine Learning Expertise:

oApply ML algorithms for tasks such as classification, regression, clustering, and recommendation.

oExperience with deep learning frameworks (e.g., TensorFlow, PyTorch).

oKnowledge of natural language processing (NLP) and computer vision (CV) techniques.

•Programming Skills:

oProficiency in Python and R.

oWrite clean, efficient, and maintainable code for AI model development.

oImplement custom solutions using Bedrock APIs and other relevant tools.

•Research and Innovation:

oStay up-to-date with the latest advancements in AI and ML.

oExperiment with novel approaches and contribute to research initiatives.

oDrive innovation within the organization.

•Collaboration and Leadership:

oMentor junior team members and provide technical guidance.

oWork closely with data scientists, software engineers, and product managers.

oCommunicate effectively with stakeholders to understand requirements and deliver results.

Qualifications

•Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

•10+ years of professional IT experience, with a focus on AI and ML.

•Strong problem-solving skills and analytical mindset.

•Excellent communication and teamwork abilities.