Lead Principal Machine Learning Engineer

Experience: 7.00 + years

Salary: INR 555555-740740 / month (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Indefinite Contract(40 hrs a week/160 hrs a month)

(*Note: This is a requirement for one of Uplers' client - FC)

What do you need for this opportunity?

Must have skills required:

ETL, Streaming, TensorFlow, 7+ years building and shipping production ML, AI/ML, LLM, PyTorch, rag, NLP

FC is Looking for:

JD - Lead Principal Machine Learning Engineer

About The Job

Fincore is on a mission to modernize finance and accounting workflows with AI-driven solutions. We empower mid-market and enterprise customers to uncover actionable insights and robust workflow automation. We are venture backed and building the next generation of tech for the finance and accounting teams.

Why You’ll Love Fincore

Tackle Mission-Critical Challenges: Build AI/ML systems that drive multi-billion-dollar finance operations end-to-end.

Own the Tech Roadmap: From data pipelines to LLM-powered conversation layers, you’ll design, ship, and own features that redefine how CFOs work.

Operate at Scale: Architect for millions of transactions per day, with real-time inference and batch analytics in the cloud.

Move Fast, Stay Secure: Work in a SOC2/GDPR-compliant environment—balance rapid innovation with enterprise-grade rigor.

Build a World-Class Team: Collaborate with seasoned technology advisors, finance leaders, top-tier investors, and fellow ML experts to build a world-class team.

Your Mission

Lead AI/ML Innovation

Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets.

Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments.

Revolutionize Conversational AI

Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables.

Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers.

Scale & Secure

Build distributed microservices for both real-time and batch workloads.

Embed encryption, access controls, and audit-ready monitoring at every layer.

Embed MLOps Excellence

Implement CI/CD pipelines that deploy models automatically on new data and guard against drift.

Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid.

Champion Collaboration

Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features.

Mentor junior engineers and evangelize best practices across the team.

Must-Have Skills

Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow)

Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines

RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent)

Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus)

Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security.

0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed.

Nice-to-Haves

Open-source contributions in ML or RAG

Experience with finance-industry compliance standards (SOC2, ISO27001)

Published papers or patents in anomaly detection, forecasting, or conversational AI

CS PhD or MS

The Fincore Edge

Equity & Impact: Real ownership in a high-growth startup, with direct lines to the C-suite

Learning & Growth: Dedicated R&D time, tech conference budgets, and mentorship from ML veterans

Culture of Excellence: Small, tightly-knit team—your ideas won’t get lost in bureaucracy

Perks: Competitive salary, generous equity, flexible PTO, comprehensive health benefits, remote-first retreats

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

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 contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face 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 you!