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Experience
10 - 12 Years
Job Location
Education
Bachelor of Science(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Leads the development and implementation of machine learning models, algorithms, and AI systems and explores innovative approaches to solving business problems using AI technologies.
Drives continuous process improvement and optimization. by staying informed about advancements in data engineering and AI, recommending new tools and technologies.
Builds, mentors, and leads a team of data and machine learning engineers, and AI specialists by providing guidance, support, and professional development opportunities to team members.
Develops and executes the organization s data science and AI vision, ensuring alignment with business objectives and measurable outcomes.
Identifies, designs, and implements AI and machine learning solutions that enhance products, services, and operational efficiency.
Establishes frameworks for responsible, explainable, and bias-free AI use in compliance with regulations and ethical standards.
Partners with product owners, business leaders, and data engineering teams to ensure AI initiatives are integrated, scalable, and business-driven.
Monitors advances in AI research, tools, and technologies, proactively applying them to maintain competitive advantage.
Defines KPIs and track ROI for AI initiatives to ensure value delivery and continuous improvement.
Acts as a data translator, bridging technical and business domains to convert complex challenges into actionable AI-driven outcomes.
Desired Candidate Profile
QUALIFICATIONS
- Bachelor's Degree (3+ years)/li>
- Degree in Information Technology, Computer Science, Data Science, or related field/li>
- Fluent in English/li>
- Deep understanding of data governance, compliance, and security best practices._x000D_
Excellent understanding of machine learning concepts and algorithms._x000D_
Proven track record of delivering AI solutions from concept to production at enterprise scale._x000D_
Strong background in statistical modeling, machine learning, deep learning, and AI productization._x000D_
Demonstrated success in translating business strategy into AI-driven initiatives with measurable ROI._x000D_
Experience in regulated industries (e.g., Airline) preferred, with a strong understanding of ethical and compliant AI practices./li> - Years with qualifications: 10 - 12 years/li>
- Google Professional Machine Learning Engineer, AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate are an advantage/li>
Department / Functional Area
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