Machine Learning Engineer

AI Engineer-:

Experience:

Salary :

Preferred Notice Period

Opportunity Type:

Placement Type:

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

Must have skills required :

,

Lucio (One of Uplers' Clients) is Looking for:

Role Overview Description

Responsibilities:

• AI Engineering
• Develop, fine-tune, and deploy state-of-the-art models (LLMs, GANs, Diffusion, OCR).
• Apply model quantization, optimization, and edge deployment to make AI fast, cost-efficient, and production-ready.
• Build and scale ML pipelines with MLOps best practices (Docker, CI/CD, cloud deployment).
• Prototype quickly and translate AI research into real-world product features.
• Backend Systems
• Design and maintain scalable backend services in Python (Flask, FastAPI, Celery, Gevent).
• Integrate ML models into distributed systems and APIs that serve thousands of users.
• Optimize infrastructure for latency, performance, and cost.
• Collaboration & Impact
• Partner with researchers, product managers, and frontend teams to ship AI-first experiences.
• Solve complex problems in legal document understanding, NLP, and computer vision.
• Contribute to code reviews, mentor peers, and push for engineering excellence.

Who You Are:

• 3+ years of experience in AI/ML engineering with exposure to backend systems.
• Strong Python skills, with experience in PyTorch, TensorFlow, Hugging Face, Diffusers.
• Hands-on expertise in GANs, Diffusion models, and LLM fine-tuning (LoRA, quantization, pruning).
• Experience deploying scalable ML pipelines (GCS/AWS, Pub/Sub, Kubernetes, Docker, CI/CD).
• Comfortable working with asynchronous task queues, APIs, and distributed applications.
• Bonus: OCR tools, document AI, or prior work in legal-tech.
• Startup mindset: ownership-driven, adaptable, and excited to build at scale.
  

To apply:Submit this technical puzzlehttps://workwithus.lucioai.com/

Pay and Benefits:

• Competitive salary based on experience.
• Unlimited leaves (including sick leaves, period leaves, and more).
• Inclusive, diverse, and innovation-first work culture.
• A high-autonomy, zero-politics environment that values growth and ownership.

Selection Process:

• Tech Puzzle (youll love this if you’ve done CTF/HackTheBox)
• Intro Call (HR)
• Technical Deep-Dive (w/ Tech-Product Lead)
• Optional Coding Round (w/ Head of Engineering)
• Culture Fit Interview (Founder)

How to apply for this opportunity:

Easy 3-Step Process:

2. Upload updated Resume & Complete the Screening Form

About Uplers:

Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.

(Note: There are many more opportunities apart from this on the portal.)

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!