Business Developer

Generate leads through various channels such as cold calling, email campaigns, networking, and online platforms.

Identify and develop new business opportunities in the B2B segment.

Interact with potential clients to understand their requirements and present suitable engineering service solutions.

Manage the complete sales cycle from lead generation to deal closure.

Build and maintain strong relationships with clients for repeat business and referrals.

Prepare proposals, presentations, and commercial negotiations.

Coordinate with internal teams to ensure timely delivery of services as per client expectations.

Maintain accurate records of sales activities and client interactions in CRM systems.

Key Responsibilities:

• Work with distributed systems and implement asynchronous programming patterns
• Design and develop scalable backend applications using Python
• Build and integrate applications leveraging LLMs or traditional Machine Learning techniques
• Develop and maintain microservices-based architectures
• Work with databases and caching systems to optimize application performance
• Participate in code reviews and maintain high code quality standards
• Write clean, maintainable, and well-documented code following best practices

Required Skills:

• 3+ years of relevant experience
• Strong understanding of distributed systems and asynchronous programming in Python
• Experience building scalable applications using LLMs or traditional ML techniques
• Hands-on experience with databases, caching mechanisms, and microservices architecture
• Good problem-solving and debugging skills

We are looking for a Senior .NET Developer with 4+ years of experience to join our growing team. The ideal candidate should have deep expertise in C#, ASP.NET Core/.NET Framework and API development. You will play a crucial role in designing, developing, and optimizing robust applications while mentoring junior developers and ensuring best coding practices. 

Key Responsibilities: 

• Architect, design, develop, and maintain scalable .NET applications using C# and ASP.NET Core/.NET Framework. 
• Design and implement RESTful APIs to facilitate seamless data exchange. 
• Optimize database queries and work with SQL databases for high-performance applications. 
• Conduct code reviews, enforce best practices, and mentor junior developers. 
• Debug, troubleshoot, and enhance existing applications for improved efficiency. 
• Work closely with cross-functional teams to define requirements and deliver high-quality solutions. 
• Stay updated with emerging .NET technologies and contribute to process improvements. 

Required Skills & Qualifications: 

• 4+ years of hands-on experience in .NET development. 
• Expertise in C#, ASP.NET Core/.NET Framework, and API development. 
• Solid understanding of OOP principles, SOLID design patterns, and best coding practices. 
• Experience with SQL databases, query optimization, and stored procedures. 
• Proficiency in Git or other version control systems. 
• Strong problem-solving skills and ability to troubleshoot complex issues. 
• Exposure to Agile methodologies and DevOps practices. 

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.

Location: Mumbai

Experience Required: 2+ Years

Job Type: Full-Time

Notice Period: Immediate Joiners

(Looking for Local Candidates of Mumbai)

About the Role

We are seeking a skilled and experienced Full Stack (MERN) Developer to join our product engineering team. The ideal candidate must have experience working in a product-based software development company and should have hands-on involvement in e-commerce platform projects.

Mandatory Criteria

• Candidate must be currently working or have prior experience in a product-based software development company
• Candidate must have worked on at least one e-commerce platform project (end-to-end involvement)

Key Responsibilities

• Develop and maintain scalable web applications using MongoDB, Express.js, React.js, and Node.js
• Translate UI/UX designs into high-quality front-end code
• Build and integrate RESTful APIs
• Ensure performance, quality, and responsiveness of applications
• Participate in design discussions, code reviews, and contribute to technical documentation
• Work in a collaborative, agile development environment

Required Skills

• Strong proficiency in JavaScript, React.js, Node.js, and Express.js
• Hands-on experience with MongoDB or other NoSQL databases
• Solid understanding of RESTful APIs and architectural patterns
• Knowledge of version control systems like Git
• Understanding of CI/CD and cloud-based deployment practices
• Good grasp of performance optimization, caching, and security practices

Requirements:

Responsibilities:

• Designing cloud infrastructure for scalability, performance, availability, and security.
• Involving in migrating existing applications and data to cloud platforms, designing the migration plan, assessing risks, and ensuring a smooth transition to the cloud.
• Designing and implementing security measures for cloud infrastructure.
• Optimizing cloud infrastructure costs by designing and identifying areas where costs can be reduced.

Eligibility:

• Experience in cloud computing concepts, architectures, and deployment models.
• Deep insights into AWS
• Programming languages experience, such as Java, Python, Ruby, and others.
• Proficient in designing and deploying cloud infrastructure, including computing, storage, networking, and security services.
• Involvement in cloud security principles and practices, including data protection, access control, network security, and compliance.

Role- Javascript Technical Lead

Job Responsibilities:
● Architect and design solutions and lead a team of 5-6 JS developers
● Interact with client understand requirements
● Able to convert business requirements to sizable tasks for developers to implement
● Provide technical expertise and mentor team in latest technologies
● Ensure and apprise stakeholders of technical feasibility, effort and impact of
implementations
● Create and present demos POCs

Skills Required:
1. Hand on experience with Node.js + React.js
2. Good understanding of Node.js frameworks (Express, Koa, Sails, Hapi) and good hands-on experience in at least one.
3. Strong understanding of Core JS Concepts including the ability to write unit tests.
4. Working knowledge in ES6 + JavaScript.
5. Experience in API Design (REST concepts) and API modeling.
6. Knowledge of WebSocket’s (Socket IO).
7. Hands on experience Typescript.
8. Experience with build tools (Webpack).
9. Experience with NoSql Databases (Mongo, Dynamo).
10. Good communicator with good client engagement skills.
11. Hand on experience with version control systems(git). Self-motivated and driven to
deliver, with and ability to be detail-oriented while able to see and define the overall
strategy.
12. Demonstrated ability to stay on top of new concepts and tools in the ever-evolving area

Good to have:
1. Knowledge of Docker and hands-on experience
2. Worked with AWS and similar cloud service providers
3. Experience with building applications using microservices