Education qualification as graduate or postgraduate degree in Engineering or Data Science is required.
Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning.
Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes.
Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption.
Job Description:
Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs.
Lead architecture and technical design discussions to ensure data science solutions align with the organization's strategic objectives.
Continuously improve models through experimentation and optimization techniques.
Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing.
Create Data Science packages and APIs for use across the organization
Mentor members of the team on effective technical practices and non-technical acumen
Be accountable for the scalability, stability, and business adoption of data science solutions
Skills Required:
Excellent written, verbal, and interpersonal communication skills with the ability to present technical information in a clear and concise manner to IT Leaders and business stakeholders.
Effective time management skills and ability to meet deadlines.
Excellent communications skills interacting with technical and business audiences.
Excellent organization, multitasking, and prioritization skills.
