Machine Learning & ML OPS :: 1 to 3 yrs :: Pune
Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. FIS is a leading Fintech provider with a wide range of Products and Services. 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 role
FIS is seeking an experienced and dynamic MLOps engineer. The candidate should have at least 1+ years of experience in Machine Learning & ML OPS. Master in Data Science or Machine learning & experience in the Fintech Capital market space is an added advantage.
What you will be doing
- Participate in Daily Scrum to develop Machine learning solutions. Working in Agile development framework.
- Understanding the business problems and working with various business & Technical stakeholders.
- Doing exploratory Data analysis and understanding metadata.
- Create and review ML Models.
- Understanding of Supervised Learning, Unsupervised Learning, and Reinforcement learning
- Understanding of Generative AI and prompt engineering
- Model fine-tuning.
- Backend SQL/snowflake/cloud-based development.
- Partner with technical and business teams to test your models in production.
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems.
- Administer and troubleshoot on cloud-based systems.
- Maintaining/Supporting the solution post development.
What you Bring:
Time Series forecasting
Models: ARMA, ARIMA, SARIMA, Vector Auto regression, Smoothing, Kalman Filtering,
Anomaly Detection
Isolation forests, SVM, Decision Trees, and Ensemble Learning
Deep Learning Basics
RNN, LSTMs, Transformer Architecture, BERT, GPT, Roberta
Generative AI Prompt engineering
Defining & working on prompts, Fine Tuning LLMs, RAG
Lang Chain
Chain, Prompts, Agents, Vector stores, Document loaders
Cloud-based solution
Deploying ML Model on Cloud
Model endpoint deployment, Docker, Understanding REST APIs, Bit-bucket
Cloud Basics Azure, AWS
Experience in creating ML pipelines on Azure, AWS
Good Communication Skills
Listening, Comprehending, Speaking.
Understanding of Application Architecture
Application Architecture
Programming - Python, SQL
What we offer you
- A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
- A competitive salary and benefits
- A variety of career development tools, resources, and opportunities
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.
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