About Leegality :

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.

We focus deeply on helping our people grow and stay motivated. Some of the perks you'll enjoy :

- Flexible working hours

- Hybrid work setup

- Bi-annual performance appraisals

- A culture that rewards initiative, curiosity, and impact

If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Leegality.

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.

To ensure success, you should demonstrate solid data science knowledge and experience in a related ML, CV, or NLP role. A first-class engineer will be someone whose expertise enhances our systems for document intelligence and content processing.

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.