Software Engineer Specialist (Machine)
- FIS Global Business
- 10 to 14 Yrs
- 2 months ago
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Job Description
- Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Education Desired : Bachelor of Science Travel Percentage : 0% Are you curious, motivated, and forward-thinking At FIS youll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun. About the team The Capital Markets business at FIS is a $3bn high growth segment delivering leading edge solutions to the worlds biggest Investment Banks, Asset Managers & Hedge Funds, Private Capital, Lending, Insurance and Risk Management firms. Capital Markets has three lines of business to support customer demands and meet ever evolving market requirements. These three lines of business are Trading and Asset Services, Treasury & Risk and Lending. Auto & Leasing are the rapid growing and innovative business unit within FIS, a Fortune 500 company. We deliver FIS Asset Finance solutions to big businesses around the globe. The FIS Asset Finance team is looking for AI/ML engineers to develop the next generation of product solutions and offering. What you will be doing As a Senior Software Engineer Specialists (ML Engineer), you will be working on developing cutting-edge AI/ML solutions across the organization. Design, build, and optimize machine learning models for various applications, such as natural language processing, computer vision, predictive analytics, etc. Data preprocessing and feature engineering: Clean, preprocess, and transform raw data into usable features for model training. Evaluate model performance using appropriate metrics and fine-tune hyperparameters to achieve optimal results. What you bring 10+ years of industry experience Proficiency in Python. Good understanding of machine learning concepts around regression, classification, clustering, dimensionality reduction etc. Understanding of GenAI and its applications. Ability to analyze and solve problems using learned techniques and tools. Hands on with frameworks and libraries like scikit-learn, TensorFlow, PyTorch, Keras, pandas etc. Rest services using Flask or FastAPI SQLAlchemy, Pydantic data modelling Experience of working with at least one relational database. Experience with cloud platforms (e.g., AWS, GCP, Azure) and AI Studios. Experience with MLOps Solid software engineering skills (version control, testing, debugging). Hands-on experience in solving practical problems using GenAI Added bonus if you have Experience in additional programming languages (Good to have Java or C# or both). Attention to detail track record of authoring high quality documentation. Self-starter but team mindset - work autonomously and as part of a global team What we offer you 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 Privacy Statement FIS 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 Model Recruitment 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,
Employement Category:
Employement Type: Full timeIndustry: BFSIRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Software Engineer Specialist (Machine)Contact Details:
Company: FIS GlobalLocation(s): Maharashtra,
Keyskills: Python Machine Learning Regression Classification Clustering Dimensionality Reduction Flask SQLAlchemy Relational Database AWS GCP Azure Version Control Testing Debugging Java C TensorFlow PyTorch Keras pandas
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