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.
Key Responsibilities:
- Technical Expertise: Leverage technical knowledge to support sales teams and provide accurate, technical solutions to meet customer needs.
- Commercial Awareness: Apply commercial understanding to enhance the precision of deals and customer proposals.
- Customer Solutions: Understand customer requirements and present customized technical solutions that align with their business goals.
- Collaboration: Work closely with sales teams to build strong customer relationships and drive revenue growth.
- Communication: Exhibit excellent communication skills, creating compelling sales presentations and effectively collaborating with customers, vendors, and internal teams.
- Solution Development: Develop solution architecture, detailed equipment lists, and presentation materials to meet customer requirements.
- Customer Support: Assist customers with technical issues related to equipment setup and resolve any post-sales concerns.
- Negotiation: Facilitate negotiations with potential customers, aligning technical and commercial aspects for successful deals.
- Quotation Management: Prepare accurate quotations based on customer requirements and ensure timely delivery through Regional Sales Managers.
- Vendor Coordination: Negotiate with vendors to secure backup quotes and select appropriate vendors based on technical product needs.
- Performance Tracking: Track issued quotations to monitor win rates, processing time, and the proportion of clean orders received.
- Internal Support & Coordination: Provide technical sizing, product selection, and support to Regional Sales Managers, ensuring timely and accurate quotations.
- Sales Support: Assist Regional Sales Managers and Dealers in technical discussions with customers to facilitate deal closure.
- Order Processing: Review purchase orders, ensure compliance with submitted offers, and coordinate with customers for amendments when necessary.
- Execution Handover: Once orders are finalized, pass on clean orders along with all required documentation to the Sales Operations Manager (SOM) for execution.
- Team Collaboration: Partner with the Regional Sales Manager to meet and exceed assigned regional sales targets.
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
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
Machine Learning (ML)
Amazon Web Services (AWS)
KubernetesCore Responsibilities:
- The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
- Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
- Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
- Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
- System Integration: Integrate models into existing systems and workflows.
- Model Deployment: Deploy models to production environments and monitor performance.
- Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
- Continuous Improvement: Identify areas for improvement in model performance and systems.
Skills:
- Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
- Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
- Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
- Knowledge of model monitoring and performance evaluation.
Required experience:
- Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
- AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
- AWS data: Redshift, Glue
- Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)
Skills: Aws, Aws Cloud, Amazon Redshift, Eks
Must-Haves
Machine Learning +Aws+ (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sagemaker
Notice period - 0 to 15days only
Hybrid work mode- 3 days office, 2 days at home
We are looking for a professional in Quality Assurance to join our team.
In this role, you will be responsible for designing and implementing test plans to improve the usability of our products
The QA Tester works with the development team and other QAs to test software functionality, identify errors, and troubleshoot any issues with the software code.
Apply now for the role of QA (Software Tester) at Codebuddy, which is opening doors for skilled, energetic individuals looking to grow exponentially in their careers.
A successful QA (Software Tester) should be hard-working, have a strong working knowledge of software code and testing methodologies, and be a team player.
Responsibilities:
- Designing test plans, scenarios, scripts, and procedures.
- Executing tests on source code.
- Analyzing test results and reporting to the development team.
- Working with the development team to correct bugs and errors.
- Performing routine inspections and quality tests.
- Preparing and implementing quality assurance policies and procedures.
- Identifying and resolving workflow and production issues.
- Ensuring that standards and safety regulations are observed.
- Addressing and discussing issues and proposed solutions with superiors.
- Documenting quality assurance activities and creating audit reports.
- Making recommendations for improvement.
- Creating training materials and operating manuals.
When You Need To Apply (Technical Competency) :
- A Bachelor’s degree in Computer Science, Engineering, or a related field.
- Minimum 3 years experience in QA testing.
- Should have experience or knowledge in Automation testing
- Good working knowledge of test management software, programming languages, and QA methodologies.
- Familiarity with Agile frameworks and regression testing is a plus.
- Ability to document and troubleshoot errors
- Good teamwork and critical thinking skills.
- Excellent data collection and analysis skills.
- Strong attention to detail.
Data ScienceMachine Learning (ML)About Digit88
Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner!
We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners.
With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best.
The Vision: To be the most trusted technology partner to innovative software product companies world-wide
The Opportunity:
As the Data Science Lead, you will own and drive the company's data initiatives, managing a team of data scientists, and ensuring the
As a Data Scientist II, you will be part of the Product Risk Operations team that owns the development of AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.
As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features to support internal and external stakeholders. This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.
What You’ll Do
- Become a subject matter expert on products, including understanding how AI can be used in the utilities industry to enable our clients desired outcomes.
- Work closely with cross-functional teams to identify opportunities, design experiments and deploy repeatable and scalable machine learning solutions that drive business impact.
- Lead design of experiments and hypothesis tests related to machine learning product features development.
- Lead design, implementation, and deployment of machine learning models to support existing as well as new customers.
- Communicate findings and recommendations to both technical and non-technical stakeholders through clear visual presentations.
- Monitor and analyze machine learning model performance and data accuracy.
- Mentor junior staff members.
- Stay current with best practices in data science, machine learning and AI.
Who You Are
- 3-5 years of experience building and deploying machine learning models
- Master’s or PHD in statistics, mathematics, computer science or another quantitative field
- Strong problem solving skills with emphasis on product development.
- Well versed in programming languages such as R or Python with experience using libraries such as pandas, scikit-learn, tensor flow .
- Experience with SQL and relational databases for data extraction and manipulation.
- Experience using a variety of Machine Learning techniques for Predictive Modeling, Classification, Natural Language Processing (including Large Language Models), Content Recommendation Systems, Time Series Techniques
- Passionate about being up-to-date with the latest developments in Machine Learning
- Strong organizational, time management, and communication skills
- High degree of accountability
- Utility, Infrastructure or Energy related field experience is a plus
Benefits/Culture @ Digit88:
- Comprehensive Insurance (Life, Health, Accident)
- Flexible Work Model
- Accelerated learning & non-linear growth
- Flat organisation structure driven by ownership and accountability.
- Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product companies in North America and around the world.
- Accomplished Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies
- Ability to make a global impact with your work, leading innovations in Conversational AI, Energy/Utilities, ESG, HealthTech, IoT, PLM and more.
You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges.
This is the right time to join us and partner in our growth!
Python
Django
Flask
MongoDBJob Category: Software Development
Job Type: Full Time
Job Location: Bangalore
Gnani.ai aims to empower enterprises with AI based speech technology.
Gnani.ai is an AI-based Speech Recognition and NLP Startup that is working on voice-based solutions for large businesses. AI is the biggest innovation that is disrupting the market and we are at the heart of this disruption. Funded by one of the largest global conglomerates in the world, and backed a number of market leaders in the tech industry,
We are working with some of the largest companies in the banking, insurance, e-commerce and financial services sectors and we are not slowing down. With aggressive expansion plans, Gnani.ai aims to be the leader in the global market for voice-based solutions.
Gnani.ai is building the future for voice-based business solutions. If you are fascinated by AI and would like to work on the latest AI technologies in a high-intense, fast-growing and flexible work environment with immense growth opportunities, come and join us. We are looking for hard workers, who are ready to take on big challenges.
NLP Software Developer
Gnani.ai is looking to hire software developers with 0 to 2+ Years of experience, with a keen interest in designing and developing chat and voice bots. We are looking for an Engineer who can work with us in developing an NLP framework if you have the below skill set
Requirements :
- Proficient knowledge of Python
- Proficient understanding of code versioning tools, such as Git / SVN.
- Good knowledge of algorithms to find and implement tools for NLP tasks
- Knowledge of NLP libraries and frameworks
- Understanding of text representation techniques, algorithms, statistics
- Syntactic & Semantic Parsing
- Knowledge/work experience on No-SQL database Mongo.
- Good knowledge of Docker container technologies.
- Strong communication skills
Responsibilities :
- Develop NLP systems according to requirements
- Maintain NLP libraries and frameworks
- Design and develop natural language processing systems
- Define appropriate datasets for language learning
- Use effective text representations to transform natural language into useful features
- Train the developed model and run evaluation experiments
- Find and implement the right algorithms and tools for NLP tasks
- Perform statistical analysis of results and refine models
- Constantly keep up to date with the field of machine learning
- Implement changes as needed and analyze bugs
Good To Have :
Start up experience is a plus
Flutter
iOS App Development
Android Development Design and Build sophisticated and highly salable apps using Flutter.
2. Translate and Build the designs into high quality responsive UI code.
3. Write efficient queries for core Data.
4. Use of Model-View-Controller (MVC) and Model-View-ViewModel-Controller (MVVM) architecture and developing maintainable, testable and functional software that meets product requirements.
5. Resolve any problems existing in the system and suggest and add new features in the complete system.
6. Follow the best practices while developing the app.
7. Use CI/CD for smooth deployment.
8. Document the project and code efficiently.
9. Manage the code and project on Git in order to keep in sync with other team members and managers.
10. Suggest new features and/or enhancements.
11. Maintaining software through product life cycle including design, development, verification and bug fixes.
12. Write tests for the App.
13. Knowledge of different state management libraries like BloC, GetX, Provider will be a plus point.
Marketing Coordinator
Company description
Lightomated is a premium System Integration Company. We provide best in class solutions for system integration. We primarily work in two verticals.
Lightomated Residential - Premium Home Automation System Integration company, dedicated to easing your life by getting your entire residential space being controlled by one simple touch. Lightomated collaborates with reputed brands to provide the clients with perfect design, installation and integration with help of the expertise of our dedicated team.
Lightomated Commercial - Leading Audio-visuals consultancy as well as system Integration company delivering a wide scope of installations from high-end Audio / Visual Integrations, Lighting control, video collaborations and end-to-end automation systems.
Role overview:
- Capture the sites or projects that we have completed or in progress
- Feed the important points from the project engineer with regards to the site/projects completed or in -progress both
- Help in case studies, Blogs, Research, etc
- Conducting research to analyse competitive landscape, market trends and customer behaviour and preparing reports by collecting, summarizing and analysing data
- Supporting the Marketing Head in establishing and evaluating a marketing strategy and plan by organizing and planning promotional presentations.
- Understanding industry trends, latest events
- Collect the customers reviews, testimonial, etc
Requirements:
- Bachelor’s degree in any field is mandatory
- Minimum 1 year experience in Marketing field is required
- Good photography and video editing skills is required.
- Willingness to travel
- Solid computer skills, including MS Office
- Knowledge of digital marketing ( SEO, SMO, Google adwords)
Job Location- New Delhi
MongoDBPython
Javascript
React.js
Angular (2+)
React.js
Redux/Flux
BootstrapJavascriptAmazon Web Services (AWS)
PHP
Laravel
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon