ML Engineer

Leegality; India; On-site; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Hybrid work setup

Impact-focused culture

Job summary

Leegality is hiring a Machine Learning Engineer specializing in Computer Vision and Natural Language Processing. You will build solutions for document and content intelligence, focusing on real-world problems at scale.

You will develop and deploy models, work with image and text data, and iterate on end-to-end pipelines that power our compliance platform. The role emphasizes building robust ML systems, collaborating with cross-functional teams, and staying current with ML advances to improve

Qualifications

• 3+ years of ML engineering experience with a focus on CV/NLP.

Responsibilities

• Design ML systems for CV/NLP tasks on document content.
• Deploy and optimize models for high-volume data.
• Experiment with deep learning architectures for image/text data.
• Develop scalable data pipelines and APIs for model access.
• Document model architectures and experiments.

Skills

Python

RESTful APIs

AWS

Tools

PyTorch

Transformers

FastAPI

Job description

Leegality works with large Indian businesses to digitally transform critical compliance processes in a fast, easy and secure way.

We have multiple products across 2 categories:

Document Infrastructure

Products that help businesses build paperless processes at scale:

Document Execution Workflow

A unified platform for businesses to digitally execute ( eSign, eStamp, Template Pre-fill, Document Fraud Prevention etc. ) agreements, forms and other documents in a compliant way. Currently in use by 2000+ Indian businesses from giants like HDFC and SBI Cards to high-growth disruptors like goDigit and Cars24.

Contract Management

An AI-powered platform for businesses to quickly review, negotiate and take action on contract

Signstation

A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner

Consent Infrastructure

Consentin

An end-to-end DPDP and Privacy compliance platform for Indian businesses

Consentin Lens

A data discovery platform for businesses to identify the personal data they collect and store.

If you’re interested in building mission critical software that operates at population scale ( 75 million + Indians have signed at least one document through Leegality ) then join Leegality.

Curious about our impact? Explore our customer success stories: leegality.com/case-studies

Our Culture

At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate — not just values on paper. Our team rated us an incredible 97 eNPS for FY 2023–24 — the highest among 175+ startups surveyed.

Perks

• Hybrid work setup
• A culture that rewards initiative, curiosity, and impact

Location

Hybrid

Job Brief

As a Machine Learning Engineer specializing in Computer Vision (CV) and Natural Language Processing (NLP), you will develop solutions to interesting technical problems, exploring exciting growth opportunities and having a real impact on our product, particularly focusing on document and content intelligence.

Responsibilities

• Designing machine learning systems, self-running artificial intelligence (AI) software, and specialized models for Computer Vision and Natural Language Processing applications.
• Transforming data science prototypes and applying appropriate deep learning algorithms and tools to text and image/document data.
• Solving complex CV and NLP problems with multi-layered data types, such as image/document classification, information extraction, semantic search, and object detection.
• Optimizing existing machine learning models, with a focus on high-performance model deployment for CV and NLP tasks.
• Developing ML algorithms (including large language models/LLMs and computer vision models) to analyze huge volumes of historical text, image, and document data to make predictions and automate workflows.
• Running tests, performing statistical analysis, and interpreting test results for CV/NLP model performance.
• Documenting machine learning processes, model architectures, and data pipelines.
• Keeping abreast of developments in machine learning, Computer Vision, and Natural Language Processing.

Requirements

• 3+ years of relevant experience in Machine Learning Engineering, with a strong focus on Computer Vision and/or Natural Language Processing.
• Advanced proficiency with Python.
• Extensive knowledge of ML frameworks, libraries (e.g., PyTorch, Transformers ), data structures, data modeling, and software architecture.
• Experience with building and maintaining scalable RESTful APIs (e.g., FastAPI).
• In-depth knowledge of mathematics, statistics, deep learning (CNNs, RNNs, Transformers) , and algorithms.
• Superb analytical and problem-solving abilities, especially for unstructured data challenges.
• Great communication and collaboration skills.
• Excellent time management and organizational abilities.
• Experience with cloud platforms (e.g., AWS) for model deployment and MLOps.

Recruitment Process

Our hiring process combines AI-powered evaluations with structured interviews to ensure a fair and seamless experience.

You will be contacted via email with the next steps upon being shortlisted.

The process may include Assessments, AI-enabled interviews, and In-Person Interviews with our team.

Final selection and CTC will be based on your overall performance and experience.

For more information about us please visit our: