Machine Learning Engineer

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.

Key Responsibilities:

• Deliver personalized fashion and styling advice tailored to client preferences and lifestyle
• Curate complete looks and provide wardrobe planning for individuals and special occasions
• Educate clients on fit, fabric, and current fashion trends
• Foster client relationships to build a loyal customer base
• Collaborate with sales teams and visual merchandisers to align customer experience with brand identity

The VP of HR for our private security agency will be responsible for leading all aspects of the human resources function within the organization except Talent Acquisition. This includes strategic planning, policy development, Behavioural training, performance management, employee relations, and nuances of culture. The ideal candidate will have extensive experience in HR management, preferably within the security industry, and possess strong leadership and interpersonal skills.

Key Responsibilities:

Strategic HR Planning:

Develop and implement HR strategies aligned with the overall objectives of the organization.

Identify and anticipate HR-related needs and challenges, and provide proactive solutions.

HR Operations:

Timely and accurate Payroll for Staff

Handling entire life-cycle of staff – Maintaining personal files, Confirmations, Exits, F&F Settlements

Compensation & Benefits – Periodical review of structure and Matrix

Employee Benefits, viz., Group Mediclaim, Group Personal Accident, Group Gratuity

Policy Development and Implementation:

Establish HR policies and procedures that comply with relevant laws and regulations.

Ensure consistent enforcement and adherence to policies throughout the organization.

Training and Development:

Design and implement behavioural training programs as and when required

Provide leadership development opportunities to support career growth and succession planning.

Performance Management:

Develop performance management system to evaluate employee performance and provide feedback.

Implement processes for goal setting, regular performance reviews, and R&R programs.

Allocate resources to meet HR objectives and priorities.

Employee Relations:

Positive approach to employee relations issues, grievances handling, and conflicts resolution.

Handling Disciplinary procedures

Promote a positive work culture and foster employee engagement and morale.

Compliance and Legal Matters:

Ensure compliance with labour laws, regulations, and industry standards.

Stay abreast of changes in legislation and update HR policies accordingly.

Reporting and Analytics:

Prepare regular reports on HR metrics and key performance indicators.

Analyse data to identify trends and areas for improvement.

Job Specification:

Bachelor's degree and in addition PG degree in HR is preferred

Proven experience of minimum 15+ years in HR management preferably within the manpower industry.

Strong knowledge of HR best practices, employment law, and regulatory compliance.

Excellent leadership, communication, and interpersonal skills.

Operates in over 25 countries across six continents and is part of Publicis Media, one of four solution hubs within Publicis Groupe, which is present in over 100 countries and employs nearly 80,000 professionals.

We  believe there are better ways for brands to connect with people. And we’re on a mission to guide brands to better connections -- across consumers, channels and partners. These are just some of the services we offer our clients in our quest to deliver ambitious outcomes.

Skills Required:

• Servlet and JSP development
• CSS, JavaScript, HTML
• AJAX, jQuery, EXTJS
• OSGi/FELIX
• Web services creation and consumption
• CMS development experience
• Java Content Repository (JCR)/CRX
• Eclipse IDE
• Maven
• SVN
• Jenkins
• Artifactory
• Apache Sling
• Lucene
• Tomcat/JBoss
• Apache Web Server

 In-depth knowledge of keyword research & ASO and ability to align SEO strategies to support ASO

- Excellent understanding of ASO best practices, as well as knowledge of app store algorithms, optimization methods and effective strategies for growing app installs

- Experience managing and handling creative assets & metadata copies for Appstore, as well as for A/B testing

- In-depth knowledge of research principles and methods and experience in analyzing data

- App Localization experience.

- Critical thinker and problem-solving skills

- Strong communication skills - both written and spoken

• a genuine interest in SEO and/or digital marketing
• evidence of a strong personal online profile, e.g. a blog, website or connections and interactions on various social media platforms
• a commitment to keeping your technical skills and knowledge up to date
• an inquisitive mind which drives you to understand Google's algorithms and predict what changes might be coming
• a good understanding of search engines
• an ability to understand social media platforms and how to use them to distribute content, gain more links and build successful campaigns
• a good understanding of PR and how to get the right messages out there
• an understanding of how customers search, where they search and why they purchase something online
• a good understanding of the wider marketing context
• strong analytical skills for understanding ranking algorithms
• excellent communication skills to educate, inform, manipulate and mediate across a number of stakeholders in an organization
• an understanding of, or experience of, HTML coding, and preferably Javascript and PHP (PHP: Hypertext Preprocessor)
• proficiency in Microsoft Office and an excellent knowledge of Excel
• some experience and knowledge of web hosting.

• Engineering Graduates or Postgraduates with 2-5 years of experience in mobile development, who have designed and developed advanced applications for the Android platform in B2C domain. Experience of development of app for retail domain is an added advantage.  
• Must have working skills:  
  • Kotlin, RXJava, Dependency injection (Koin/Dagger) 
  • Unit Test 
  • Worked on multi-threaded applications 
  • MVP and MVVM 
• In depth understanding of Android recommended design principles, interface guidelines and coding best practices.  
• Experience with performance and memory tuning of complex apps.  

• You will be responsible for design, development and testing of Products
• Contributing in all phases of the development lifecycle

• Writing well designed, testable, efficient code
• Ensure designs are in compliance with specifications

• Prepare and produce releases of software components

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.