PLS Lawyers Pvt Ltd

About The Role

We are seeking a talented and driven SEO and Copywriting Specialist to join our small but mighty marketing team. In this role, you will be responsible for creating compelling, high-quality written content that aligns with SEO best practices, driving both organic traffic and engagement. You will work closely with the marketing team and our business leaders to optimize content for search engines while maintaining a clear and consistent brand voice across all digital platforms.

Key Responsibilities:

• SEO Strategy & Implementation:
• Conduct keyword research to identify high-traffic, relevant keywords and phrases.
• Optimize on-page SEO elements, including title tags, meta descriptions, headers, and images.
• Perform regular audits of website content to ensure it aligns with SEO best practices and make necessary updates.
• Track and analyse SEO performance metrics, including search rankings, organic traffic, and conversion rates, using tools like Google Analytics and SEMrush
• Copywriting & Content Creation:
• Write engaging, high-quality copy for website landing pages, email campaigns, social media posts, and more
• Craft compelling headlines, CTAs, and persuasive copy that enhances user experience and drives conversions.
• Contribute creative ideas for campaign development
• Ensure all content aligns with the organisation's mission and value
• Content Optimization:
• Edit and proofread copy to ensure it is grammatically correct, clear, and aligned with the brand voice.
• Implement best practices for content formatting, including keyword placement, internal linking, and content structure, to improve SEO ranking.
• Stay up to date with industry trends, search engine algorithm updates, and content marketing best practices to continuously improve content strategies.
• Reporting & Analysis:
• Prepare regular reports on SEO and content performance, analysing key metrics and identifying areas for improvement.
• Utilize A/B testing to optimize the effectiveness of content and landing pages.

Key Skills and Qualifications:

·      Proven experience (1-3 years) in SEO, copywriting, or content marketing.

• Strong understanding of SEO principles and techniques, including keyword research, on-page SEO, and technical SEO.
• Proficient in using SEO tools such as Google Analytics and SEMrush
• Excellent writing, editing, and proofreading skills with a keen eye for detail.
• Ability to write clear, concise, and engaging content tailored to different audiences.
• Familiarity with content management systems (e.g., WordPress) and basic HTML.
• Strong communication skills, both verbal and written.
• Ability to work independently and manage multiple projects simultaneously.

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.