Hybrid AI Engineer

at Quantanite

• Job title: AI Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, ETL, MongoDB, MySQL, Python, RDBMS, Spark, SQL
• Location requirements: Hybrid, Mumbai, India

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.