Principal Machine Learning Engineer

Principal Machine Learning Engineer

Experience: 12+ Years
Salary : Competitive
Preferred Notice Period: Within 30 Days
Shift: 3:00PM to 12:00AM IST
Opportunity Type: Remote
Placement Type: Contractual
Contract Duration: Full-Time, 06 Months

(*Note: This is a requirement for one of Uplers' Partners)

What do you need for this opportunity
Must have skills required :
AI, Jupyter notebooks, TensorFlow, time-series modeling, Machine Learning, Python, SQL
Good to have skills :
AWS/GCP AI services, asset management, Hands-on experience with TensorFlow, or trading desks, Prior experience in investment banking, Pytorch, Strong foundation in quantitative finance and financial modeling.
Our Hiring Partner is Looking for:
Principal Machine Learning Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description
Headquartered in Palo Alto, California, the company is the world's first AI-powered tech services organization. It has revolutionized the tech services industry by integrating AI into every aspect of its operations—offering AI-vetted and matched talent, AI-driven development acceleration, and access to AI transformation experts who have played pivotal roles in building some of Silicon Valley's most iconic companies.
Since its founding in 2018, the company has achieved remarkable growth, boasting a Talent Cloud of over three million developers worldwide and serving 900+ clients. Its innovative approach and impactful contributions have earned it numerous accolades, including being named one of "America's Best Startup Employers" by Forbes in 2022, securing the top spot in The Information's 2021 Annual List of most promising B2B companies, and being featured in Fast Company's "World's Most Innovative Companies" list.

The company’s leadership team is a blend of top-tier AI technologists from organizations like Meta, Google, Microsoft, Apple, Amazon, and Twitter, alongside seasoned consultants from prestigious firms such as Accenture, Cognizant, Capgemini, McKinsey, and Bain, as well as alumni from renowned institutions like Stanford, Caltech, and MIT.

Project Overview
The candidate will be working on the Model Development as a Service (MDaaS) initiative,
which focuses on scaling machine learning techniques for exception classification, early
warning signals, data quality control, model surveillance, and missing value imputation.
The project involves applying advanced ML techniques to large datasets and integrating them into financial analytics systems.

Key Responsibilities
†Set up Data Pipelines: Configure storage in cloud-based compute environments and
repositories for large-scale data ingestion and processing.
†Develop and Optimize Machine Learning Models:
○ Implement Machine Learning for Exception Classification (MLEC) to classify
financial exceptions.
○ Conduct Missing Value Imputation using statistical and ML-based techniques.
○ Develop Early Warning Signals for detecting anomalies in
multi-variate/univariate time-series financial data.
○ Build Model Surveillance frameworks to monitor financial models.
○ Apply Unsupervised Clustering techniques for market segmentation in
securities lending.
○ Develop Advanced Data Quality Control frameworks using TensorFlow-based
validation techniques.

†Experimentation & Validation:
○ Evaluate ML algorithms using cross-validation and performance metrics.
○ Implement data science best practices and document findings.
• Data Quality and Governance:
○ Develop QC mechanisms to ensure high-quality data processing and model
outputs.

Required Skillset
• Strong expertise in Machine Learning & AI (Supervised & Unsupervised Learning).
• Proficiency in Python, TensorFlow, SQL, and Jupyter Notebooks.
• Deep understanding of time-series modeling, anomaly detection, and risk analytics.
• Experience with big data processing and financial data pipelines.
• Ability to deploy scalable ML models in a cloud environment.

Deliverables & Timeline
• Machine Learning for Exception Classification (MLEC): Working codes &
documentation
• Missing Value Imputation: Implementation & validation reports
• Early Warning Signals: Data onboarding & anomaly detection models
• Model Surveillance: Fully documented monitoring framework
• Securities Lending: Clustering algorithms for financial markets
• Advanced Data QC: Development of a general-purpose QC library

Preferred Qualifications
• Prior experience in investment banking, asset management, or trading desks.
• Strong foundation in quantitative finance and financial modeling.
• Hands-on experience with TensorFlow, PyTorch, and AWS/GCP AI services

How to apply for this opportunity

1. Register or login on our portal
2. Click 'Apply,' upload your resume and fill in the required details.
3. Post this click ‘Apply Now' to submit your application.
4. Get matched and crack a quick interview with our hiring partner.
5. Land your global dream job and get your exciting career started!

About Our Hiring Partner:
The company is at the forefront of AGI infrastructure, solving the human intelligence bottleneck and empowering enterprises to harness the power of generative AI—transforming complex data into actionable insights. From custom AI products to end-to-end deployment, our solutions and experts are dedicated to driving innovation and efficiency. Trusted by 1000+ companies including OpenAI, Google, and Meta. Join us in the AGI era and accelerate how businesses operate.

About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for yo