- Generating leads into exhibitions & events industry, targeting high potential clients participating in the exhibitions (Domestic as well as International).
- Developing business by cold calling, client pitching through research or references.
- Deliver scripted sales pitch to the clients.
- Keep accurate and detailed records of calls made and results achieved.
- Mailing Introductory Profile to prospective clients.
- Scheduling appointments and to get maximum meetings done with the clients.
- To get sound brief from the client and ensure maximum clients are converted.
- Client follow ups & feedback till the completion of the project.
- To ensure timely payment is made by the client after the completion of the project.
- To be a single point of contact between the client and the production team.

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About Company
Mihup is a voice AI company building in-car voice assistance and sound technology for the automotive industry. We power intelligent voice experiences for leading OEMs.
Its solutions integrate automation, real-time assistance, and analytics at scale to enhance accuracy, efficiency, and agility in enterprise operations. Mihup.ai also serves organizations across BFSI, IoT, and other sectors, delivering robust conversation intelligence that supports performance and innovation. With over 1 billion interactions powered, Mihup.ai helps businesses turn voice data into measurable business outcomes and competitive advantage. The company offers a dynamic environment for professionals interested in advanced AI applications in automotive and other industries.
Role Description
The Product Manager – Automotive is a full-time, on-site role based in the Greater Bengaluru Area. This role is responsible for defining product vision and roadmap for automotive Voice AI solutions, gathering and prioritizing customer and market requirements, and aligning features with business objectives. Day-to-day responsibilities include collaborating with automotive clients and internal teams, translating user needs into product specifications, coordinating with engineering and design for feature development, and managing product launches. The Product Manager will monitor product performance, customer satisfaction, and usage metrics, while continuously identifying opportunities for improvement and innovation in automotive use cases. The role also involves working closely with customer success and sales teams to support demos, training, and feedback loops that inform ongoing product enhancements.
Qualifications
- Candidates hving domain knowledge in Automotive and the Automotive Industry, with experience in connected vehicles, infotainment, or in-car digital experiences is a plus
- Experience in product management, including roadmap planning, requirements gathering, and cross-functional collaboration with engineering, design, and data teams.
- Strong analytical and problem-solving skills, with the ability to interpret product data, user feedback, and market trends to drive decisions.
- Excellent communication and stakeholder management skills, with the ability to work effectively with technical and non-technical partners.
- Background in Voice AI, SaaS, or enterprise software is highly beneficial; prior work with automotive OEMs, Tier-1 suppliers, or mobility platforms is a plus.
- Bachelor’s degree in engineering, business, or a related field; advanced degrees or product management certifications are advantageous.
● Proficiency in Linux.
● Experience working with AWS cloud services: EC2, S3, RDS, Redshift.
● Must have SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra,
and Athena.
● Must have experience with Python/Scala.
● Must have experience with Big Data technologies like Apache Spark.
● Must have experience with Apache Airflow.
● Experience with data pipelines and ETL tools like AWS Glue.
OJ Commerce Inc. is a fast-growing retailer serving the US market through OJ Commerce.com and various market places such as Amazon, Walmart, and eBay. OJ Commerce is a privately held, profitable company headquartered in Miami, Florida, USA with a 100% dedicated back-office in Chennai. The workhours are flexible with predominantly India business hours with some overlap with US Eastern Time business hours based on need.
Experience:
4+ relevant experience
Role: Individual Contributor Role.
Location : Chennai - Ekaduthangal (Work From Office)
Skill Sets:
• In-depth knowledge in MS SQL Server and related tools & technologies such as SSIS, SSRS &SSAS
• Exposure to data modelling and ability to develop complex queries & procedures
• Manage and monitor performance, capacity and security of the database
• Continuously improve the performance of the database in alliance with the Database Adminstrator by optimizing jobs, procedures & queries
Desirable Skills:
➢ Candidates with experience in ecommerce / online retail is added value.
➢ Should be comfortable in dealing with senior leadership (internal & external)
➢ Communication Skills – Excellent verbal and written communication skills with ability to explain ideas very clearly.
➢ Self–motivated and flexible, with an ability to work independently.
Traits Expected:
• Ability to work in a fast–paced, dynamic environment with limited resources
• Problem-solver with a desire to solve complex business problems with innovative & cost–effective solutions
• Excellent analytical and problem-solving skills, with out–of–the–box thinking.
Location: Chennai
Experience: 4 years
Job Description-
Position – International Sales Development Representative & International Sales Development Trainee
Location - Hyderabad (On-site)
Reports to - Shift Manager (US)
Region - US timings [Mon-Fri] 7:30 pm till 4:30 am night shift*
Primary Objective - Sales Development Representatives & Sales Development Trainees are responsible for qualifying leads at the initial stages in the sales funnel. They must research potential clients, connect with and educate prospects and qualify leads before handing them off to the closers of the sales team. Spanish speaking would be an added advantage.
Specific Accountabilities/Responsibilities -
- Promoting business through extensive and persistent cold calling, emails, and communication(s) to prospective clients
- Respond, engage and qualify inbound leads and inquiries
- Scheduling Initial Prospecting Meetings for the Sales Team
- Providing in-depth information to the Sales team to enable the most qualified and productive demos
- Researching and evaluating additional leads/prospects through web research
- Meet or exceed the assigned quota
- Working together with the Regional Director to grow a specific sales territory
- Working with the Sales Director to support the acquisition of new accounts in the region
- Help as needed to build awareness on special projects/events
- Maintaining all contacts/opportunities and recording all progress.
Job Type: Full-time
Salary: ₹250,000.00 - ₹500,000.00 per year
Schedule:
- 7:30 pm to 4:30 am IST
Education:
- Bachelor's (Preferred)
Experience:
- Cold calling: 2 years (Preferred)
- total work: 2 years (Preferred)
- Sales: 2 years (Preferred)
- sales representative: 2 years (Preferred)
Language:
- English (Preferred)
Shift availability:
- Night Shift (Required)
Position Title: Manager – Security Operations Organization /Function: Manager is responsible for day to day operational and project delivery for a set of customers Relevant Experience: 10+ years of experience in security area and at least 2 years as Security manager Educational Qualification: BE/B.Tech/ME/M.Tech/Graduate/Master in any stream with excellent academic record
Must-have Skills: • Must know common security policy frameworks and possess knowledge of how security programs are run at mid to large scale companies • Must have managed a team to deliver “Managed Security Service” or “Security Operations Center” • Prior working Background in either SIEM tools (Splunk, ArcSight, QRadar, DNIF etc.) or Vulnerability assessment and Management tool (Qualys/Rapid7) and process • Has broader context and understanding of managed security services • Must have service mindset and empathy. Must deal with a level of ambiguity, chaos and apparent stubbornness from customers, and manage around it by thinking through the issue or request from the customer’s perspective to drive to a reasonable conclusion • Must have prior experience on Project Management • Must have prior experience of onsite-offshore delivery model and should have directly worked with US/European customers or colleagues • Must have ITIL process knowledge
1. Experience in developing web-based applications using React JS 2. React JS, Redux and TypeScript, HTML, CSS and JavaScript 3. Strong interpersonal and written communication skills 4. Willingness to learn and master new technologies 5. Knowledge in Angular or Node JS would be an added advantage.
https://www.linkedin.com/feed/hashtag/?keywords=%23Experience">#Experience:
1. Bachelors/ Master’s Degree & experience in the related field 2. Possess flexibility and adaptability to meet the working environment
- Full stack development on cutting edge technology in Fintech domain.
- Ownership of complete backend code.
You should Have :
- Server Side languages knowledge: Node.js and express.js is the first choice, Python, Java
- Server-side programming experience. We prefer ability over experience
- Solid experience working with databases, especially relational DB.
- Solid experience with version control (Git or Bitbucket or SVN).
- B.E. in Computer Science or Graduate/PG degree in Computer Science (this is optional, as we are more interested in your abilities and experience over a paper degree).
- Any experience working with real-time projects in backend with node.js and express.js

Requirements:
- Expert in Python, with good knowledge in Django technology.
- Able to integrate multiple data sources and databases into one system.
- Understanding of the threading limitations of Python, and multi-process architecture.
- Knowledge of user authentication and authorization between multiple systems, servers, and environments.
- Experience in Flask will be an add-on
- Understanding of fundamental design principles behind a scalable application.
- Familiarity with event-driven programming in Python.
- Able to create database schemas that represent and support business processes.
- Proficient understanding of code versioning tools.
- Good communication skills.
We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. Should be familiar with Agile methodologies.
Responsibilities:Participating in the design and creation of scalable software Writing clean, functional code on the front- and back-end Testing and fixing bugs or other coding issues Work with development teams and product managers to ideate software solutions Design client-side and server-side architecture Build the front-end of applications through appealing visual design Develop and manage well-functioning databases and applications Write effective APIs Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Create security and data protection settings Build features and applications with a mobile responsive design Write technical documentation Work with data scientists and analysts to improve software
Requirements:Proven experience as a Full Stack Developer or similar role Experience developing desktop and mobile applications Familiarity with common stacks Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery) Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js) Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design Excellent communication and teamwork skills Great attention to detail Organizational skills An analytical mind
Education :B.E/B.Tech/MCA/MCS/BCS
Job Description
Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.
Seeking an M.L. Engineer with high aptitude toward development. Will also consider coders with high aptitude in M.L. Years of experience is important but we are also looking for interest and aptitude. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.
Experience
10+ Years
Location
Bozeman/Hyderabad
Skills
Required Skills:
Bachelors/Masters or Phd in Computer Science or related industry experience
3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow
7+ Years of industry experience in scripting languages such as Python, R.
7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing
Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc
Some experience in setting up large scale training data pipelines.
Some experience in using Cloud services such as AWS, GCP, Azure
Desired Skills:
Experience in building deep learning models for Computer Vision and Natural Language Processing domains
Experience in productionizing/serving machine learning in industry setting
Understand the principles of developing cloud native applications
Responsibilities
Collect, Organize and Process data pipelines for developing ML models
Research and develop novel prototypes for customers
Train, implement and evaluate shippable machine learning models
Deploy and iterate improvements of ML Models through feedback









