Machine Learning Engineer

Job Description 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: - 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 contracts - 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 202324 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: - 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. 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