Senior AI Engineer

ses

Chennai, India 3 Years Exp Posted 41d ago

AI Solutions Development and Execution: Support the development, execution, and implementation of AI solutions to simplify and automate business processes, drive tech innovation, and re-engineer workflows. Act as an in-house AI consultant for business departments, providing end-to-end solutions in areas such as GenAI customer support, AI workflow automation, AI document processing, and data extraction
Project Management and Delivery: Support project management activities and lead assigned work packages with a high degree of autonomy, ensuring customer-centric, lean start-up methodologies, engage in bottom-up projects and support project delivery and operational activities
Data Analysis and AI Pipeline: Gather and analyze information, challenge ideas, develop and communicate recommendations, and experience the entire AI pipeline from identifying and integrating new data sources to modeling, transformation, and exploitation
Hands-On AI and Data Activities: Engage in hands-on activities related to Data Quality, Data & AI Governance, AI & Data Engineering, and Business Intelligence based on expertise

COMPETENCIES

Outstanding analytical and problem-solving skills.
Strong understanding of various technologies around AI, data management, and analytics.
Well-versed in AI frameworks and their practical application in a business environment.
Start-up mindset and management consulting approach.
A passion for AI-driven thinking.
Willingness to quickly learn new methodologies, applications, and tools.
Ability to thrive in an agile environment, embracing and driving change.
Excellent communication and presentation skills.
Good interpersonal skills, be a team player. Ability to effectively respond to, interact and challenge stakeholders in the projects worked on
Ability to assess business cases and situations, making appropriate trade-offs
Data Engineering principles: Be able to engineer and implement data pipelines to support applications. This includes SQL and NoSQL open source and/or enterprise solutions.
Proficiency with Data Manipulation and Transformation frameworks (also in Python)

QUALIFICATIONS & EXPERIENCE

Internationally recognized college or university degree in Computer Science, Engineering, or a related field.
Have 3-10 years of experience working (preferred but not a showstopper):
- with a consulting firm, ideally around digital transformation, AI & analytics topics.
- in a corporate role focused on AI & analytics, AI governance, digital areas (e.g., business analyst).
  - in a tech start-up firm.
  - or in an AI-driven product company.
Experience with cloud-based AI Platform infrastructure and resources.
Knowledge about AI/ML and experience with applied AI solutions. Proven technical hands-on knowledge of various technologies around AI, data management, and analytics.
Fluency in written and oral English. Other languages are considered valuable assets.
Experience working in an international business environment.
- Azure and/or AWS certifications are an asset, especially within AI Engineering and/or Science.