Qureos Mentor

Draft N Craft Law Firm

AI Strategy &amp; LeadershipRole Overview:As a Senior AI/ML Engineer at Draft n Craft, you will lead the development and deployment of cutting-edge machine learning solutions tailored for the legal services industry. You will play a pivotal role in transforming legal workflows through intelligent automation, NLP, and GenAI technologies. This is a unique opportunity to shape the future of legal tech while working in a cross-functional environment that values innovation, precision, and impact.Key Responsibilities:<ul><li>Lead the design and implementation of scalable ML/AI solutions aligned with business goals.</li><li>Mentor and manage a team of ML engineers and data scientists to deliver high-impact projects.</li><li>Collaborate with legal experts and software engineers to identify AI opportunities and define technical roadmaps.</li></ul>Model Development &amp; Deployment<ul><li>Build and optimize end-to-end ML pipelines including data ingestion, pre-processing, training, evaluation, and deployment.</li><li>Develop production-ready models for NLP, document classification, summarization, and entity extraction.</li><li>Apply transfer learning and fine-tune LLMs (e.g., LLaMA, GPT, etc.) for legal domain-specific tasks.</li></ul>Data Engineering &amp; Feature Engineering<ul><li>Design robust ETL workflows to process structured and unstructured legal data.</li><li>Implement advanced feature extraction and selection techniques to improve model performance.</li><li>Ensure data quality, consistency, and compliance with legal standards.</li></ul>Performance Monitoring &amp; Optimization<ul><li>Define and track key performance metrics for deployed models.</li><li>Continuously improve model accuracy, latency, and scalability through experimentation and feedback loops.</li></ul>Integration &amp; Collaboration<ul><li>Integrate ML models into existing software platforms and internal workflows.</li><li>Work closely with DevOps and cloud teams to deploy solutions on AWS, Azure, or other cloud environments.</li><li>Document processes, decisions, and outcomes for transparency and reproducibility.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, AI, or related field.</li><li>6+ years of total experience</li><li>2+ years of experience in software development.</li><li>4+ years of experience in ML/AI engineering, preferably in NLP or legal tech.</li><li>Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.</li><li>Strong understanding of SQL/NoSQL databases and data pipeline tools.</li><li>Hands-on experience with GenAI, LLMs, and neural network architecture.</li><li>Experience deploying models to cloud platforms (AWS, Azure, GCP).</li></ul>Job Type: Full-timePay: &#8377;1,500,000.00 - &#8377;2,000,000.00 per yearApplication Question(s):<ul><li>1. What defines an end-to-end ML pipeline?</li><li>2. Main challenge with unstructured legal data?</li><li>3. When to use traditional ML over deep learning?</li><li>4. Key GenAI concern in legal industry?</li><li>5. Common cloud service for ML deployment?</li></ul>Experience:<ul><li>Machine learning Engineer: 4 years (Required)</li></ul>Work Location: In person

Senior Machine Learning Engineer

Join Draft N Craft Law Firm and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Draft N Craft Law Firm

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Senior Machine Learning Engineer