Machine Learing Engineer

Leegality; Gurugram District; Hybrid; INR 1,200,000 - 2,200,000; Full time

Benefits offered by this job

Hybrid work setup

Culture of initiative and curiosity

Job summary

Leegality in Gurugram, India is seeking a Machine Learning Engineer specialized in Computer Vision and Natural Language Processing to build document and content intelligence solutions. You will transform data science prototypes into production-ready models, focusing on image and text data, and enhance end-to-end ML workflows.

The role requires solid data science knowledge, experience with ML/NLP techniques, and collaboration with product teams to drive impactful outcomes.

Qualifications

• 3+ years of experience in Machine Learning Engineering with CV/NLP focus.
• Strong Python proficiency and software design skills.
• Solid mathematics and statistics foundations for ML.
• Experience deploying models via REST APIs and cloud platforms.

Responsibilities

• Design ML systems for CV/NLP tasks and document intelligence.
• Develop/deploy deep learning models for image and text data.
• Improve model performance and scalability for production use.
• Experiment with LLMs and CV models on large document corpora.
• Build robust data pipelines and document the architectures.
• Collaborate with cross-functional teams and stakeholders.

Tools

PyTorch

Transformers

FastAPI

AWS

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: leegancy.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:

• Hybrid work setup
• 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.

For more information about us please visit our:

https://bit.ly/3Iqm5SB

Our Company and Culture:

https://bit.ly/3Iqm5SB

Our Website:

www.leegality.com/

Our LinkedIn Page:

www.linkedin.com/company/leegalitty/