Senior Machine Learning Engineer

4 days ago

Delhi, Delhi, India Draft N Craft Law Firm Full time ₹ 15,00,000 - ₹ 20,00,000 per year

AI Strategy & Leadership

Role 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:

  • Lead the design and implementation of scalable ML/AI solutions aligned with business goals.
  • Mentor and manage a team of ML engineers and data scientists to deliver high-impact projects.
  • Collaborate with legal experts and software engineers to identify AI opportunities and define technical roadmaps.

Model Development & Deployment

  • Build and optimize end-to-end ML pipelines including data ingestion, pre-processing, training, evaluation, and deployment.
  • Develop production-ready models for NLP, document classification, summarization, and entity extraction.
  • Apply transfer learning and fine-tune LLMs (e.g., LLaMA, GPT, etc.) for legal domain-specific tasks.

Data Engineering & Feature Engineering

  • Design robust ETL workflows to process structured and unstructured legal data.
  • Implement advanced feature extraction and selection techniques to improve model performance.
  • Ensure data quality, consistency, and compliance with legal standards.

Performance Monitoring & Optimization

  • Define and track key performance metrics for deployed models.
  • Continuously improve model accuracy, latency, and scalability through experimentation and feedback loops.

Integration & Collaboration

  • Integrate ML models into existing software platforms and internal workflows.
  • Work closely with DevOps and cloud teams to deploy solutions on AWS, Azure, or other cloud environments.
  • Document processes, decisions, and outcomes for transparency and reproducibility.

Required Qualifications:

  • Bachelor's or master's degree in computer science, Data Science, AI, or related field.
  • 6+ years of total experience
  • 2+ years of experience in software development.
  • 4+ years of experience in ML/AI engineering, preferably in NLP or legal tech.
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.
  • Strong understanding of SQL/NoSQL databases and data pipeline tools.
  • Hands-on experience with GenAI, LLMs, and neural network architecture.
  • Experience deploying models to cloud platforms (AWS, Azure, GCP).

Job Type: Full-time

Pay: ₹1,500, ₹2,000,000.00 per year

Application Question(s):

    1. What defines an end-to-end ML pipeline?
    1. Main challenge with unstructured legal data?
    1. When to use traditional ML over deep learning?
    1. Key GenAI concern in legal industry?
    1. Common cloud service for ML deployment?

Experience:

  • Machine learning Engineer: 4 years (Required)

Work Location: In person

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