AI Engineer (Full stack)

Company Description

Quantanite is a customer experience (CX)solutions company that helpsfast-growing companies
and leading global brandsto transformand grow. We do thisthrough a collaborative and
consultative approach,rethinking business processes and ensuring our clients employ the
optimalmix of automationand human intelligence.We are an ambitiousteamof professionals
spread acrossfour continents and looking to disrupt ourindustry by delivering seamless
customerexperiencesforour clients,backed-upwithexceptionalresults.We havebig dreams,
and are constantly looking for new colleaguesto join us who share our values, passion and
appreciationfordiversity.

Job Description

We are seeking a AI Engineer to join our team and play a critical role in the design and develop a
cognitive data solution. The broader vision is to develop an AI-based platform that will crawl
through unstructured data sources and extract meaningful information. The ideal candidate will
possess full-stack development skills along with a strong understanding of database structures,
SQL queries, ETL tools and Azure data technologies.

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.

Qualifications

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)
 

Additional Information

● 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