Machine Learning Engineer

About Leegality:

We're India's very first Document Infrastructure Platform. Our mission? To completely transform how businesses handle paperwork, contracts, and getting digital consent.

We make critical paperwork flows faster, way more innovative, and completely compliant for Indian businesses. Over 2,000 companies, from huge players like HDFC and SBI Cards to super fast-growing ones like Razorpay and Cars24, trust us with their document workflows.

Beyond our core platform, we've launched "Deal Collaboration" (making contract negotiation a breeze) and "ConsentIn" (for easy, DPDP-compliant consent collection).

Basically, we're building the go-to execution layer for all modern paperwork. If that sounds exciting, come join us!

Curious about our impact? Check out our customer success stories here: https://www.leegality.com/case-studies

Our Culture:

At Leegality, we're all about trust, owning our work, transparency, and having a blast while building something meaningful.

These aren't just buzzwords; our team proved it by giving us an amazing 97 on the eNPS survey for FY 2023-24 (that's the highest among over 175 startups!).

We're always working to help our team grow and stay motivated. We offer cool perks like flexible hours, hybrid work, and bi-annual appraisals to make sure everyone has an awesome work environment.

If our culture vibes with you, keep reading the job description below and hit that apply button!

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:

• 2+ 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 inference optimization frameworks (e.g., ONNX Runtime, OpenVINO, TensorRT)
• 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.



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