Machine Learning Engineer

at PLS Lawyers Pvt Ltd

Machine Learning Engineer

PLS Lawyers Pvt Ltd

Company

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Machine Learning Engineer

at PLS Lawyers Pvt Ltd

Posted by Bhanu Priya

1 - 2 yrs

₹6L - ₹12L / yr

Gurugram

Skills

Machine Learning (ML)

Python

Artificial Intelligence (AI)

Natural Language Processing (NLP)

Large Language Models (LLM) tuning

Duties

About Us:

We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.

Responsibilities:

Design, Build, and Deploy Scalable ML Models

You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.

Develop NLP-Based Automation Solutions

You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.

Prototype and Implement Generative AI Tools

Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.

Integrate ML Models with APIs and Tools

Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.

Maintain CI/CD for ML Features

Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.

Review, Debug, and Optimise Models

Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.

Cross-Team Communication

Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.

· Design, build, and deploy scalable ML and deep learning models for real-world applications.

· Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.

· Collaborate with AI researchers and developers to prototype and implement Generative AI tools.

· Integrate ML and Gen AI models with APIs and internal tools to support business operations.

· Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.

· Participate in code reviews, debugging, and performance optimisation of deployed models.

· Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

• Ensure ML systems are built with GDPR compliance in mind.

• Adhere to RBAC policies and maintain secure handling of personal and property data.

Sandboxing and Risk Management:

• Use sandboxed environments for testing new ML features.

• Conduct basic risk analysis for model performance and data bias.

• Use sandboxed environments for testing and development.

• Evaluate and mitigate potential risks in model behavior and data pipelines

Qualifications:

· 1–2 years of professional experience in Machine Learning and Deep Learning projects.

· Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).

· Strong understanding of NLP and its real-world applications.

· Exposure to building scalable ML systems and deploying models into production.

· Basic working knowledge of Generative AI techniques and frameworks.

· Familiarity with CI/CD tools and experience with API-based integration.

· Excellent analytical thinking and debugging capabilities.

· Strong interpersonal and communication skills for effective team collaboration.