Industry Domain Lead – Retail/ CPG/ Insurance /Banking/ Automotive

We have opening for Presales for Navi Mumbai Vashi location

Job Title: Pre - Sales Engineer

Location: Navi Mumbai, Vashi

Department: BMS (Building Management System)

Reports To: Regional Sales Manager

Job Summary:

We are seeking a dynamic and technically proficient Pre Sales Engineer to join our team. In this role, individual will be responsible to provide technical expertise and support to our sales teams, ensuring that customers receive accurate, tailored solutions that meet their needs. Individual will collaborate with internal and external stakeholders to drive sales growth, manage quotations, and ensure smooth execution of customer orders. The ideal candidate will have a strong technical background, sales aptitude, and excellent interpersonal skills.

Qualifications & Skills Required:

• Strong technical skills and comfort in leading technical discussions.
• Sales aptitude with a keen interest in interacting with customers.
• Proactive approach with a strong customer focus and problem-solving skills.
• Ability to quickly learn and adapt to new products and technologies.
• Excellent interpersonal and teamwork abilities.
• Knowledge of the PLC/Controller BMS industry preferred, though experience in HVAC is also acceptable.
• Familiarity with commercial terms and conditions and their application in sales processes.
• Proficiency in MS Office tools including Word, Excel, PowerPoint, and Project.

Preferred Qualifications and Experience:

• Engineering Degree (Electrical, Electronics, Mechanical)
• Strong communication and presentation skills.
• Familiarity with basic PLC and DDC design and software applications.
• Experience: 3-5 years of relevant in BMS or HVAC/ELV industry

Backend (Primary Focus) ● Strong knowledge and experience in Object-Oriented Programming (OOP) concepts. ● Strong understanding of Java, Spring Boot, and REST API development. ● Experience in Test-Driven Development (TDD) with Spring Boot. ● Proficiency in developing APIs using Redis and relational databases (MySQL preferred). ● Strong understanding of the AWS cloud platform, with experience using services like S3, Lambda. ● Good understanding of code versioning tools (Git) and bug-tracking systems (JIRA, etc.). ● Knowledge of DocumentDB or any other NoSQL document database is a plus. Frontend (Good to Have / Preferred for Full-Stack Evaluation) ● Hands-on experience with React.js, including state management (e.g., Redux, Context API). ● Experience with modern UI development, including CSS frameworks (Tailwind, Material-UI, Bootstrap, etc.). ● Understanding of REST API integration and handling API calls efficiently in React. ● Familiarity with component-driven development and frontend testing (e.g., Jest, React Testing Library).

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.

We are looking for an experienced Social Media Executive to assist in the planning, execution and optimization of our online marketing efforts for our d2c women fashion brand. Individual should be experienced preferably from fashion industry.

Immediate joining preferred.

Job Location: Kandivali West, Mumbai (western line candidate)

Job Type: Work From Office, Full-Time

Exp: 2-3 years

Responsibilities of Social Media Executive:

• Identify target audiences, objectives and desired outcomes of marketing campaign
• Assisting in photoshoots, product styling, mood boards, product naming and descriptions and creatives for social media
• Research and develop marketing strategy, and evaluate success strategy
• Develop content of marketing campaigns
• Manage the brand’s website and e-commerce destination, as well as spearhead monthly email newsletters
• Identify and develop relationships with key digital influencers
• Work with social media team and align strategy across relevant platforms including Facebook, Instagram, Twitter and Pinterest; identify and prioritize new and relevant channels
• Day-to-day content planning with colleagues, creation, posting and management across the channels

Qualifications:

• Degree in marketing or related field
• Experience in social media marketing, influencer marketing, content writing.
• Strong analytical, communication, time-management and creativity skills
• Good English communication and writing skills required; the ability to understand, help define, and articulate the fashion brand is essential
• Immediate joining preferred

Job Responsibilities:

·       Assist the Security Manager in developing and implementing security policies and procedures.

·       Conduct regular security risk assessments and audits.

·       Monitor security systems, including firewalls, intrusion detection systems, and access controls.

·       Respond to security incidents and provide recommendations for remediation.

·       Assist in managing user access and authentication.

·       Provide security awareness training to employees.

·       Maintain and improve endpoint security solutions (e.g. antivirus, endpoint detection and response).

·       Collaborate with other departments to ensure security is integrated into all aspects of the organization's operations.

·       Stay up to date on the latest security threats and industry trends.

Qualifications and skills:

·       Bachelor’s degree in computer science, Information Security, or a related field.

·       4-5 years of experience in security-related roles.

·       Knowledge of security systems and protocols.

·       Familiarity with risk management frameworks.

·       Knowledge of compliance regulations and standards.

·       Excellent communication and interpersonal skills.

·       Strong analytical and problem-solving skills.

·       Ability to work independently and as part of a team.

·       Attention to detail and accuracy.

• Expertise in React tools including React.js, Webpack, Babel, Redux/Flux, React router.
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Practised in any one CSS frameworks like material UI, Semantic UI, Bootstrap, ANT design.
• Experient working on web API like RESTful Web services, • Proficiency in using Graphql, WebSocket, webhooks.
• Should be able to design and build modern user interfaces to enhance application performance.
• Hands-on experience in browser-based debugging, performance testing software and deployment, with an attention to detail that supports the software development cycle.
• Experience with automated testing suites, like Jest or Mocha
• Experience in an Agile environment