ML Engineer

This is a remote position.

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:

1. 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.
   

2. Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contracts
   

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

Consent Infrastructure:

1. Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
   

2. 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.

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.
  

• 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.
  

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

For more information about us please visit our:

Our Company and Culture: https://bit.ly/3Iqm5SB

Our Website: www.leegality.com/

Our LinkedIn Page: www.linkedin.com/company/leegality/

Leegality's Privacy Notice: https://www.leegality.com/employee-privacy-notice