Data Scientist AI & Innovation Engineer
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Job Location:
Monthly Salary:
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
The DBVA platform is central to the Business Value Assurance function within IFS and the partner community used daily by 100 employees. This role will be critical in the replatforming and enablement of a solution at the forefront of AI by embedding AI/ML capabilities and AI agents into the tool. Long-term you as part of a small fast paced and high-impact team will be responsible for ensuring secure responsible and innovative use of AI to deliver real business value.
In this role you are going to drive applied AI innovation and be responsible for embedding AI and advanced data capabilities into the platform. You will drive use cases around automation copilots predictive insights natural language interaction and AI agents. You will work closely with business stakeholders to translate requirements into working AI-enabled solutions. A strong emphasis is placed on Azure based deployment security and usability.
Key Responsibilities:
- Prototype and deliver AI features (copilots NLP AI agents) with Azure AI/OpenAI
- Deploy and maintain ML/AI components in Azure (App services Azure ML SQL integration)
- Prepare and manage data for secure multi-tenant use cases (RLS B2B segregation)
- Collaborate with System Engineer to integrate AI into React/ solution
- Translate business needs into prototypes and iterate quickly with users
- Communicate outcomes prepare demos and support training materials creation
- Ensures ethical secure and responsible AI usage aligned with company standards
Overall Competencies:
- Strong Python (or equivalent) skills with applied ML/AI frameworks (such as PyTorch TensorFlow Scikit-learn)
- Practical experience deploying ML/AI in Azure
- Familiarity with Azure OpenAI services LLM APIs and API-based integrations
- Strong SQL data handling skills in enterprise settings
- Ability to prototype rapidly and iterate with business stakeholders
- Understanding security compliance and responsible AI practices
- Communication skills to explain AI outcomes to business stakeholders
Qualifications :
Essential:
- Masters degree in data science Computer Science Applied Mathematics or equivalent experience
- 3-5 years hands-on experience in data science/AI engineering
- Proven experience of deploying AI/ML into production preferably in Azure
- Proven record of delivering business facing AI features (predictive models copilots agents or automation)
- AI Integrations: Azure OpenAI LLM APIs or NLP
- Experience working with multi-tenant or enterprise data solutions
- Strong English
Desirable:
- for API integrations
- Advanced AI/ML libraries: OpenMMLab DeepStream
- Prototyping with AI agents and copilots
- Delivered AI features tied to business use cases
Additional Information :
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
We are growing! At IFS we are constantly growing to deliver award-winning solutions to hundreds of partners and thousands of customers worldwide! We help companies who want to be their best when it matters most at their #momentofservice. Visit https://ifs.link/IzM0px to find out mo ... View more
