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Machine Learning - Software Engineer Senior

2.00 to 5.00 Years   Bangalore   02 Jul, 2021
Fidelity National Information Services, Inc
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Education Desired : Bachelor of Computer Engineering Travel Percentage : 0%About the teamThe 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 productionize 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.
Privacy StatementFIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.Sourcing ModelRecruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.#pridepass,

Keyskills :
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