Job Description

Position Type : Full time

Type Of Hire : Experienced (relevant combo of work and education)

Education Desired : Bachelor\'s Degree

Travel Percentage : 0%

Machine Learning & ML OPS :: 1 to 3 yrs :: Pune

Are you curious, motivated, and forward-thinking? At FIS you\xe2\x80\x99ll 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 .

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

FIS