Senior Data & AI Leader at EXL defining and executing enterprise - wide data and AI strategy. Overseeing initiatives while fostering a high - performance culture across data, analytics, and AI teams.
About the role
- AI Engineer responsible for designing and developing cognitive data solutions for Quantanite, focusing on AI-based platforms and data extraction from unstructured sources.
Responsibilities
- Implement Architecture and design from definition phase to go-live phase.
- Work with the business analyst and SMEs to understand the current landscape priorities.
- Define conceptual and low-level model of using AI technology.
- Review design to make sure design is aligned with Architecture.
- Handson development of AI lead solution
- Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc.
- Integrate with multiple system using API or Web Services or data exchange mechanism
- Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications
- Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management
- Owning research assignments and development
- Leading, developing and assisting developers & other team members
- Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project
- Define and deliver against the solution benefits statement
- Positively and constructively engage with clients and operations teams’ efforts where required.
Requirements
- A Bachelor's degree in Computer Science, Software Engineering, or a related field
- Minimum 5 years of IT experience including 3+ years of experience as Full stack developer preferably using Python skills
- 2+ years of hands-on experience in Azure Data factory, Azure Databricks / Spark (familiarity with fabric), Azure Data Lake storage (Gen1/Gen2), Azure Synapse/SQL DW.
- Expertise in designing/deploying data pipeline, from data crawling, ETL, Data warehousing, data applications on Azure.
- Experienced in AI technology including: Machine Learning algorithms, Natural Language Processing, Deep Learning, Image Recognition, Speech Recognition etc.
- Proficient in programming languages like Python (Full Stack exposure)
- Proficient in dealing with all the layers in solution; multi-channel presentation, business logic in middleware, data access layer, RDBMS | NO-SQL; E.g. MySQL, MongoDB, Cassendra, SQL Server DBs
- Familiar with Vector DB such as: FAISS, CromaDB, PineCone, Weaveate, Feature Store
- Experience in implementing and deploying applications on Azure.
- Proficient in creating technical documents like Architecture views, Technology Architecture blueprint and design specification.
- Experienced in using tools like Rational suite, Enterprise Architect, Eclipse, and Source code versioning systems like Git
- Experience with different development methodologies (RUP | Scrum | XP)
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work effectively in a fast-paced environment
- Ability to lead and motivate cross-functional teams
- High personal resilience
- High achievement orientation
- Work experience in IT Outsourcing and/or Business Process Outsourcing companies is a big plus.
Benefits
- Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements.
- Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion.
- Events: Regular team and organisation-wide get-togethers and events.
- Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together.
- Future development: At Quantanite, youʼll have a personal development plan to help you improve in the areas youʼre looking to develop in over the coming years.
Job title
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