
i) Data Engineering using NodeJS and Python,
ii) Data Science -- Analytics and Machine Learning and
iii) API Management using APIGEE.
- Web Automation experience (Can be either of Java + Selenium or JS + Protractor or JS + Cypress)
- API testing and automation experience (Any Java or JS framework is good)
- Must have done hands on automation during the last one year
- Experience in performing Functional, System testing, Integration testing and regression testing during the various phases of the project lifecycle
- Team player with the ability to work in a fast paced environment with minimum supervision
- Experience in Agile Methodology
- Linux knowledge will be a plus
- Mobile test automation
- Performance testing experience
- Experience with CI/CD tools
- Understanding the feature to test
- Writing/Updating test cases
- Design, develop and execute automation scripts
- Knowledge of software QA methodologies
- Perform thorough regression testing when bugs are resolved

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● Attend and manage non-sales inbound calls.
● Resolve issues or escalate to relevant teams (Ops, Sales, CX, and Tech).
● Assist with booking changes, payment queries, and property information.
● Update all customer interactions accurately in the CRM.
● Follow up on open tickets until closure.
● Maintain a professional, empathetic, solution-driven approach.
● Collect customer feedback and ensure service quality.
Proposal Engineer:
Number of Positions: 01
Education Required: BE/Mtech -Mechanical/Chemical
Experience: 4-5 Years
Salary: negotiate at the time of the interview
Notice Period: Immediate joiner can be preferred
Background required for Manufacturing of Head Exchangers, pressure vessels & Heavy fabrication Industries.
Job Details
1. Handling Enquiries
a) Review enquiry with respect to design and executions capability
b) Communicate with the customer for resolving incomplete, ambiguous and conflicting requirements.
2. Thermal design (Aspen & HTRI software)
a) Understand the customer requirement and carry out the thermal design in Aspen/HTRI
b) Selection of best design for the given parameters.
b) Carry out the preliminary mechanical design
3. Costing of equipment and calculate final price
a) Carry out the costing based on mechanical design, and customer drawing in Excel format
b) Send raw material inquiries to our supplier and get a quotation for major raw materials
4. Preparation of GA drawing in Auto cad software if required by Customer.
5. Prepare technical offer
a) Review of Customer specifications and prepare Deviation list.
b) Preparation of technical offer
c) Discuss with the customer after submitting technical offer and sort-out there queries.
6. Visit at customer office for technical discussion.

A stealth startup, born from research at Stanford's Human-Centred AI Lab, is building an AI Chief of Staff, designed to revolutionize how we work.
Most companies building AI agents are automating routine work. But we want to hold AI to a higher bar – an AI that “reasons” and helps humans deal with cognitive overload.
Come work at the intersection of cutting-edge NLP, generative AI and graph learning ML techniques. Help build technology that empowers, not exhausts!
Team: Stanford founder with background in data science, investing, and startups; Staff engineer at Amazon; and top-tier AI practitioners as Advisors (ex-Head of AI at Spotify, Senior Eng Director at Pinterest, AI 2030 Global Leader among others). Harvard and Stanford engineers contributed to early product development.
Role: Founding ML Engineer, full-time
Location: India. We can sponsor visas to relocate to the US based on fit.
Compensation: Around INR 25 lakh based on experience + equity
Required Qualifications
- Bachelor’s degree or master’s (preferred) in computer science, engineering, mathematics, or a related technical field from a top-tier institution
- 3+ years of experience building and deploying ML models in production, ideally with “0 to 1” ML work
Technical
- Expertise in NLP: Hugging Face Transformers, BERT, RoBERTa, and techniques like text classification and semantic clustering.
- Experience with LLMs (e.g., GPT-4, Gemini) for prompt engineering, fine-tuning for specific use cases, content generation, and cost-optimized ML infrastructure
- Deep Learning & Graph-Based ML: Proficiency in TensorFlow, PyTorch, XGBoost, GNNs, and dynamic graph databases like Neo4j for modelling relationships
- AI-powered chatbots, integrating LLMs for natural language interaction, feedback processing, and real-time user support
- Real-Time Data Processing & Integration: Skilled in using Apache Kafka and integrating ML models into scalable, reliable back-end systems
- Cloud Deployment: Experience deploying and managing ML services on AWS, GCP, or Azure with a focus on scalability and performance optimization
The client is looking for an extraordinary and dynamic Engineering Manager to be
part of its Engineering team in Bangalore. You must have a good record of
architecting scalable solutions, hiring and mentoring talented teams, and working
with product managers to build great products. You must be highly analytical
and a good problem solver. You will be part of a highly energetic and innovative
team that believes nothing is impossible with some creativity and hard work.
Responsibilities
● Own the overall solution design and implementation of the core infrastructure
for backend systems. This includes requirement analysis, scope discussion,
design, architecture, implementation, delivery, and resolving production issues
related to engineering. The core back-end system is a large-scale data platform
that ingests data, applies ML models, and streams the output to the Data lake and
serving layer. As of today, we ingest 2 Bn data points every day, which need to
scale to handling 200 Bn data points every single day.
● End-end backend engineering infra charter includes Dev ops, Global
deployment, Security, and compliances according to latest practices.
● Ability to guide the team in debugging production issues and write best-of-the
breed code.
● Drive “engineering excellence” (defects, productivity through automation,
the performance of products, etc) through clearly defined metrics.
● Stay current with the latest tools, technology ideas, and methodologies; share
knowledge by clearly articulating results and ideas to key decision-makers.
● Hiring, mentoring, and retaining a very talented team.
Requirements
● 8-12 years of strong experience in product development.
● Strong experience in building data engineering (no SQL DBs, HDFS, Kafka,
Cassandra, Elasticsearch, Spark, etc) intensive backend
● Experience with DAG-based data processing is highly desirable
● Excellent track record of designing and delivering System architecture,
implementation and deployment of successful solutions in a customer-facing
role.
● Strong problem-solving and analytical skills.
● Ability to influence decision making through data and be metric driven
● Strong understanding of non-functional requirements like security, test
automation etc
● Fluency in Java, Spring, Hibernate, J2EE, REST Services
● Ability to hire, mentor and retain best-of-the-breed engineers
● Exposure to Agile development methodologies
● Ability to collaborate across teams and strong interpersonal skills
● SAAS experience a plus
Job Specification
- Experience in JTAG, MBIST , Scan Compression, ATPG, Fault Simulation.
- Experience with industry ATPG tools Synopsys Tetra MAX, Cadence Encounter Test or
- Mentor Fast Scan ATPG tools Synopsys DFT scan insertion.
- Experience with industry simulation tools such as VCS, ModelSim, NC Verilog etc.
- Pattern Simulation with and without timing annotation & debugging
Looking for candidates who would be responsible for handling sales for Indian customers over the phone entirely.
Job profile:
Contacting potential or existing customers to inform them about the service.
Answering questions about product or the company
Asking questions to understand customer requirements and close sales
Enter and update customer information in the database
Handle grievances to preserve the company's reputation
Go the 'extra mile' to meet sales quota and facilitate future sales
Requirements
Proven experience as telesales representative or other sales role in the Indian market
Proven track record of successfully meeting sales quota preferably over the phone
Good knowledge of relevant CRM
Excellent knowledge of English/Bengali/Tamil/Telugu/Marathi/Kannada
Excellent communication and interpersonal skills
Cool tempered and able to handle rejection
Outstanding negotiation skills with the ability to resolve issues and address complaints
Responsibilities
Meet and exceed sales targets
Successfully create business from new and existing customer accounts
Manage complex negotiations with senior-level executives
Build rapport and establish long term relationships with customers
Field sales
Qualifications
0-2 years' quota carrying sales experience
Experience and working knowledge of CRM systems
Demonstrable track record of over-achieving quota
Strong written and verbal communication skills
I just wanted to touch base with you regarding a search for the newest member of our Professional Services team.
Find the job details below and if interested, share an updated copy of your resume.
Consulting Engineer Role | Location: REMOTE
We are looking for candidates who have strong development background along with Systems Architecture experience and want to make their career in Consulting Engineering, This role isn't limited to application development or support but more Consulting, Architectural designing/High Availability system designing, Solutioning, Migration, Optimization, customer handling, etc.
Shift Timing:
You will get an opportunity to work with Global customers (APAC, EMEA, and North America) So this would require you to work in monthly rotational shifts.
We are looking for competitive and passionate Sales Associates to help us build up our start-up.
Sales Associates responsibilities include pursuing new sales prospects, negotiating deals and maintaining excellent customer satisfaction. If you have excellent communication skills and feel comfortable reaching out to potential customers to demonstrate Hofeto services and products through email, phone and face to face meetings, we would like to meet you.
Ultimately, you will work with us to meet and exceed business expectations and contribute to our company’s rapid and sustainable growth.
You should also be someone who loves great design,who is passionate about interior design, and provides exceptional customer service. The most important piece is being able to help your customers create beautiful gorgeous spaces with our home interior selection. Your creative talents will be recognized and rewarded. This is a great opportunity for newly graduated Marketing and Sales candidates who need experience in the real world and are looking to build their career.Key Responsibilities
- Responsible for achieving monthly house calls, sales goals, delivery goals and creating and maintaining a client base.
- Offers superior customer service and cultivates relationships with clients to sell & develop future business utilizing effective selling skills.
- Set up meetings with potential clients and listen to their requirements, wishes and concerns.
- Utilizes strong interpersonal skills, selling skills, active listening, professional attitude, and represents the company with integrity and professionalism.
- Provides sales and design services to clientele, including house calls, presenting floor plans and full presentation boards for design projects.
- Builds and maintains a high level of product knowledge related to furniture, home furnishings, and related accessories, including a strong understanding of construction features.
- Stays current on interior design trends in their local market and on a national level.
- Assists all customers as called in rotation and ensures appropriate order procedures and processing.
- Maintains client contact from order writing through delivery to ensure client satisfaction.
- Participates in other functions like training and mentoring, weekly sales meetings, working reports, Daily reviews to be maintained.
- Achieve defined target of Specific number of sales closures month on month.
Key Skills
- Candidates with experience between 1 to 5 years.
- Excellent communication and sales skills
- Being a great problem solver will help situations when clients have complaints or concerns
- Managing multiple demands effectively without feeling overwhelmed.
- Capable of being productive in a timely manner
- Focusing on what is important and adhere to a set of schedule to ensure deadlines are met
- Candidates should have good knowledge about everything that there is to know about the items that they are selling
- Should be an active listener, good communicator, empathetic and have a positive attitude
- Perform extensive research on not only the company but also the products you will be working with
- Open to extensive travel within the city.
Location: Bangalore

As a Software Engineer at Quince, you'll be responsible for designing and building scalable infrastructure and build applications to solve some very interesting problems in the logistics and finance tech space.
Responsibilities:
- Design and architect solutions on the cloud for various business problems with workflow efficiency and scale in mind.
- Be on the forefront with the business team to learn, understand, identify and translate function requirements into technical opportunities.
- End-to-end ownership - from scoping the requirements to the final delivery of the solution with keen eye to details and quality.
- Build and improve logistics components for this innovative M2C supply-chain model.
- Build and maintain scalable ETL data pipelines.
Requirements:
- Bachelors/Masters/PhD in Computer Science or closely related subject.
- 1-5 years of experience in building software solutions.
- Good at data structures and their practical applications.
- Proficiency in Kotlin, Java, Python.
- Experience in deploying and maintaining applications on cloud platforms (Ex: AWS, Google cloud).
- Proficiency with SQL and databases - relational and/or nosql (Snowflakes, AWS RedShift, etc).
- Experience with messaging middleware such as Kafka is good to have.

