CountryIndiaWorking ScheduleFull-TimeWork ArrangementHybridRelocation Assistance AvailableNoPosted Date21-May-2024Job ID3183Description and RequirementsJob Responsibilities:
Lead all stages of Data, analytics & AI product development life cycle: from problem identification, conceptualization, prioritization to solution development and delivery.
Contribute to hands-on development of data & analytics solutions.
Collaborate with business and technology partners to co-create solutions anchored on customer care, human-centered design, frictionless services, and meaningful engagement.
Develop Data and Analytics roadmaps. Deliver solutions with transformational impact to the Enterprise.
Communicate, engage, and present roadmaps, use cases, solutions and impact to senior management.
Deliver products and solutions in a timely, proactive, and entrepreneurial manner.
Institutionalize best practices, contribute to research and experimentation efforts.
Accelerate solution delivery using re-usable frameworks, prototypes and hackathons.
People leadership: talent acquisition, coaching and mentoring team.
Education, Technical Skills & Other Critical Requirement
Bachelor\xe2\x80\x99s/Master\xe2\x80\x99s degree in an information technology/computer science or relevant domain. MBA or financial services industry experience preferred;
10-14+ years of relevant experience in data and analytics product & solution delivery
Traditional as well as modern statistical and machine learning techniques
Azure ML, OpenAI, Python, PyTorch , SQL, and TensorFlow
Experience working with large and complex internal, external, structured and unstructured datasets.
Responsible deployment of AI. Developing and maintaining detailed technical documentation.
Solution Engineering and Consultative skills: Strong conceptual and creative problem-solving skills
Agile methodologies & tools.
Excellent written, verbal communication skills and presentation skills; engage in meaningful manner with variety of audience: business stakeholders, technology partners & practitioners, executive and senior management.
Industry knowledge about emerging AI trends, AI tools and technologies,
Preferred:
Familiarity of new age AI and ML techniques such as GenAI, foundational models, large language models (LLMs) and applications
Certifications in AI space such as ML Ops, AI Ops, Generative AI, Ethical AI, AI in cloud
Management consulting experience
Data management, Data engineering, Data governance, Data operations, Data on Cloud