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We're seeking a qualified sales associate to sell annual car and bike Scotty subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly.
Job Location: Work from home
Selection process: HR Round followed by group discussion and sales manager round.
Qualification: Any Graduate/Post Graduate
Salary offered: As per industry standards
Working days: 6 days Sunday is off
Shifts:10:00am -7:00pm
Mandatory language: English
Laptop/wi-fi: candidates are to use their own laptops,
Additional Compensation: If applicable, this will be decided on the basis of your designation.

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Job Title: Tech Lead and SSE – Kafka, Python, and Azure Databricks (Healthcare Data Project)
Experience: 4 to 12 years
Role Overview:
We are looking for a highly skilled Tech Lead with expertise in Kafka, Python, and Azure Databricks (preferred) to drive our healthcare data engineering projects. The ideal candidate will have deep experience in real-time data streaming, cloud-based data platforms, and large-scale data processing. This role requires strong technical leadership, problem-solving abilities, and the ability to collaborate with cross-functional teams.
Key Responsibilities:
- Lead the design, development, and implementation of real-time data pipelines using Kafka, Python, and Azure Databricks.
- Architect scalable data streaming and processing solutions to support healthcare data workflows.
- Develop, optimize, and maintain ETL/ELT pipelines for structured and unstructured healthcare data.
- Ensure data integrity, security, and compliance with healthcare regulations (HIPAA, HITRUST, etc.).
- Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions.
- Troubleshoot and optimize Kafka streaming applications, Python scripts, and Databricks workflows.
- Mentor junior engineers, conduct code reviews, and ensure best practices in data engineering.
- Stay updated with the latest cloud technologies, big data frameworks, and industry trends.
Required Skills & Qualifications:
- 4+ years of experience in data engineering, with strong proficiency in Kafka and Python.
- Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing.
- Experience with Azure Databricks (or willingness to learn and adopt it quickly).
- Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus).
- Proficiency in SQL, NoSQL databases, and data modeling for big data processing.
- Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data applications.
- Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus.
- Strong analytical skills, problem-solving mindset, and ability to lead complex data projects.
- Excellent communication and stakeholder management skills.
Position: Team Leader
Shift Timing: 10 AM to 6 PM - Monday to Saturday (Remote)
Company: JNJ Technologies & Services LLP - http://jnjservices.co.in/
Language: English
Salary: 5 LPA to 6 LPA
We are looking for a result-driven Team Leader to be responsible for monitoring and supervising a team of consultants to achieve the organization’s objectives and increase sales. You will be responsible for providing guidance, instruction, training, and leadership skills to inspire the team to perform at their optimum. You should create a cohesive team that works efficiently together to maximize the sales team's potential.
Requirements:
• A bachelor's or associate's degree in marketing, sales, or a related field may be advantageous.
• Experience in sales is necessary.
• Strong sales ability, business acumen, and commercial awareness.
• Excellent communication, interpersonal, and customer service skills.
• Strong leadership abilities.
• Good time management, strategic planning, and organizational skills.
Responsibilities:
• Identifies the primary concerns, long-term strategies, and targets to be assigned to the team members.
• The responsibilities of a Team Leader Own recruiting, objectives setting, coaching and performance monitoring of sales representatives.
• Develops the product sales blueprint, a set of standards for sales associates to conform to, encompassing lead filtering and deal modeling.
• Guides sales personnel to function efficiently by capitalizing on their passions and capabilities.
Interns day to day responsibilities include:
- Do the quality check for the catalogue images as per Image guidelines, to review product catalogues based on category guidelines and ensure that delivered data is 100% accurate and complete with a positive impact on customer experience.
- Do frequent checks on existing processes to help the Catalogue team achieve more consistent results with high quality and to own new projects which will aim at achieving high productivity of an individual/team.
- Populate 100% accurate content from various sources (Brand Websites, E commerce Portals, Product info Pages, Seller’s, Consumers, Companies, Subject Matter Experts) for specific as well as general information about the product through various channels (Verbal & Written communication, through on ground activities as well as through various online search techniques).
Customer Support Executive Responsibilities:
- Overseeing the customer service process.
- Resolving customer complaints brought to your attention.
- Possessing excellent product knowledge to enhance customer support.
- Maintaining a pleasant working environment for your team.
Customer Support Executive Requirements:
- Excellent interpersonal and written and oral communication skills.
- Excellent computer skills.
- Knowledge of mediation and conflict resolution techniques is preferable.
- Fluent in English
- Office Work Location: Malad (East) Mumbai, Maharastra.


Responsibilities:
- Identify relevant data sources - a combination of data sources to make it useful.
- Build the automation of the collection processes.
- Pre-processing of structured and unstructured data.
- Handle large amounts of information to create the input to analytical Models.
- Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
- Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
- Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
- Participate in Problem solving sessions
Requirements:
- Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
- Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
- Strong math skills (e.g. statistics , algebra)
- Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
- Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
- Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com
Required Skills:
Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia
Responsibilities:
Design, develop and maintain software applications using Java programming language
Write well-designed, testable, efficient code
Collaborate with cross-functional teams to identify, prioritize and execute tasks in a timely manner
Troubleshoot and debug software issues
Ensure software quality by performing thorough testing and code reviews
Keep up-to-date with new technologies and programming languages
Participate in the full software development lifecycle, including planning, designing, coding, testing, and deploying software
Document software development processes, procedures and code changes
Provide technical guidance to team members
Requirements:
Bachelor's degree in Computer Science or related field
Minimum of 3 years of experience in Java development
Strong knowledge of Java programming language and related frameworks (Spring, Hibernate, etc.)
Proficient in using development tools (Eclipse, IntelliJ IDEA, etc.)
Experience with relational databases (Oracle, MySQL, etc.)
Familiarity with software development methodologies (Agile, Scrum, etc.)
Excellent problem-solving and analytical skills
Strong communication and teamwork skills
Preferred Qualifications:
Master's degree in Computer Science or related field
Experience with microservices architecture
Familiarity with front-end technologies (HTML, CSS, JavaScript, etc.)
Knowledge of cloud computing platforms (AWS, Azure, etc.)
Experience with DevOps practices and tools (Jenkins, Docker, Kubernetes, etc.)
About WISE
At Wise, we are building the world's best online tutoring platform that companies teaching online can use to manage their online operations from scheduling demos to running classes for your learners. We have designed an extremely user friendly interface for your admins and instructors to set up your online academy within a matter of 5 minutes.
- We are a platform used for online tutoring by over 150,000 teachers to conduct live classes for over 2,500,000 learners
- Our platform has been tested at 500k DAUs and more than 2 billion+ minutes of live sessions have been conducted on the platform
- We have a customised and native Zoom integration (no redirection) for interactive live class experience
- We are building the world's first infrastructure layer for digital classrooms and have open APIs as well as a White-Label options to setup a native experience for your online teaching platform
What we need
A digital marketing expert with 2-3 years of experience running and coordinating digital marketing campaigns. We are execution-focused and work would involve building things quickly & adapting based on market feedback. If you love designing marketing campaigns and want to expand and grow, we would like to talk to you.
What you will do
- Work directly with the founding team and drive key product decisions
- Define and establish marketing strategy with the copy team
- Analyze and take decisions on furthering marketing and creative strategy
Essential skills
- Independent player (We’re a team but, we want you to contradict us on the way)
- Social media and google ads skills
- Spreadsheets, or Airtable (Just give us numbers, or graphs, we love graphs)
- Goal-oriented
- Creative and innovative
Good to have
- Good communication skills
- Team-oriented mindset
Probably not ideal if
- If you have always been right about everything
- Not looking for a full-time engagement
Definitely get in touch if you
- Would have started the exact same company but am willing to build it together with a great team
- Would fight us in a duel to make our product better
Job Purpose |
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Managerial Responsibilities |
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Functional Responsibilities |
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Behavioural Skills |
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Sales Team |
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Research Team |
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Other LOB / SBU |
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Editorial / DTP Teams |
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Compliance / Risk |
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External |
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Clients |
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Media |
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Fund Managers |
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Corporates |
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along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production

