About the team :
The Intelligent Automation team is driving a transformational journey across the Client Engagement group within Banking Solutions. We have a clear focus on enhancing operational efficiency and improving customer satisfaction through automation, enabling self-service, and accelerating digitization efforts across employee and client touchpoints. We use the right technologies and frameworks to solve high-impact problems, building intelligent solutions through hybrid AI/ML and traditional RPA frameworks.
Problems You'd Be Solving :
- Develop end to end AI and machine learning pipelines
- Work with a cross-functional team of Data Engineers, Data Scientists, IT Architects
- Productionalize models and AI/ML workflows
- Help innovate the way AI is used within the company and integrated into legacy and next-gen platforms
- Prototype new approaches and production solutions at scale
- Leveraging managed ML platforms for training, hosting and maintaining ML models
- Identify opportunities for platformization by communicating with our Data Scientist and IT Architect
- Balance the needs of Application Owners, Data Scientists, Data Engineer, and other engineers in a growing team to operationalize AI.
What you bring:
Knowledge / Experience and Skills:
- Demonstrated technical initiative and leadership on previous projects
- The ability to work in a fast paced, growing team leveraging top notch tool suites
- Desire to mentor & grow other machine learning engineers across the team to further these efforts
- A deep understanding of software that allows you make the right trade offs
- Natural curiosity & eagerness to learn
- Solid understanding of data science algorithms including neural networks, classification, regression, decision trees
- Familiarity with database modeling and data warehousing principles and SQL.
- Familiarity with Big Data tools like Spark, Hive, API deployment etc.
- Strong programming skills in Python, Java, Scala or similar language.
- Ability to comprehend and debug sophisticated systems integrations.
- Creativity to engineer novel solutions, and to push beyond current tools and approaches.
- 5+ years experience working in the ML Engineering or AI/ML Architecture space
- 5+ years experience working with Python coding
- 2+ years experience architecting and working with cloud-based solutions and integration
- Good interpersonal, written, and verbal communication skills.
- Ability to work independently and make key design choices on projects.
Technologies We Use :
- Python, PySpark, Scala
- AWS Sagemaker, API gateway, Lambda, RDS
- Databricks/Spark, EMR, Distributed computing frameworks
- Git, Jenkins
- PowerBI
Qualifications :
- A Bachelor's or Master's degree in Computer Science, Information Systems or the equivalent combination of education, training, or work experience.
What we offer you:
- The opportunity to make your mark in rapidly growing team, with plenty of scope for career progression;
- A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities;
- A broad range of professional education and personal development possibilities - FIS is your final career step!
- A competitive salary and benefits.
- A variety of career development tools, resources and opportunities.
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