Leegality - Machine Learning Engineer - Computer Vision/NLP

About Leegality :

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

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.

• 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.

Our Culture :

At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate. Our team rated us an incredible 97 eNPS for FY 2023 - 24.

Perks :

• Flexible working hours

• Hybrid work setup

• Bi-annual performance appraisals

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, focusing on document and content intelligence.

Responsibilities :

• Designing machine learning systems, self-running AI software, and specialized models for CV and NLP applications.

• Transforming data science prototypes and applying deep learning algorithms to text and image/document data.

• Solving complex CV and NLP problems such as document classification, information extraction, semantic search, and object detection.

• Optimizing existing machine learning models for high-performance deployment.

• Developing ML algorithms (including LLMs) to analyze volumes of historical data to make predictions and automate workflows.

• Running tests, performing statistical analysis, and interpreting model performance.

Requirements :

• 3+ years of relevant experience in Machine Learning Engineering, with a strong focus on CV and/or NLP.

• Advanced proficiency with Python.

• Extensive knowledge of ML frameworks (e.g., PyTorch, Transformers), data structures, and software architecture.

• Experience with building and maintaining scalable RESTful APIs (e.g., FastAPI).

• In-depth knowledge of mathematics, statistics, and deep learning (CNNs, RNNs, Transformers).

• Experience with cloud platforms (e.g., AWS) for model deployment and MLOps.

Recruitment Process :

• Our hiring process combines AI-powered evaluations with structured interviews.

• Apply directly through our career page : https : //careers.leegality.com/jobs/Careers