11+ MVS Jobs in Bangalore (Bengaluru) | MVS Job openings in Bangalore (Bengaluru)

Bachelor’s degree in Marketing, Mass Communication, Digital Media, or related field.

3–5 years of experience in social media management, preferably with ecommerce/D2C brands.

Strong knowledge of social media platforms, trends, and tools (Meta Business Suite, Hootsuite, Canva, etc.).

Proven track record of growing social channels and executing campaigns.

Excellent verbal and written communication skills.

Creative thinker with an eye for detail and design aesthetics.

Basic understanding of performance marketing & analytics.

Roles and Responsibilities:

• Willing to familiarize yourself with the company's vision and mission seeking to accomplish set goals and objectives.
• Collating and maintaining client information in the CRM database and keeping the track of the team
• Strong Team leader who keeps the team on track
• Email & WhatsApp conversations with potential leads.
• Make potential leads understand our courses.
• Convert potential leads into customers.
• Learning & using our customer relations management software & others related computer software.
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Requirements:

• Excellent written and verbal communication skills
• Experience in Team leading in the International process
• Ability to work under pressure.
• Laptop is mandatory.
• Willing to work in a start-up environment (fast paced).
• Willing to work 6 days a week.
• Employment Type-Full-time

Role Overview:

We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.

Key Responsibilities:

1. Data Analysis & Visualization:

• Develop and manage data pipelines, ensuring data accuracy and integrity.
• Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
• Extract and analyze complex data sets using SQL to generate actionable insights

2 Machine Learning & AI Models:

• Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
• Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
• Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.

3 Automation & Innovation:

• Use AI to streamline document verification, data extraction, and customer interaction processes.
• Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
• Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
• Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
• Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
• Strong problem-solving skills, with the ability to work independently and in teams.
• Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!

About the company

NoBroker.com is world's largest C2C marketplace in online real estate. With cumulative 85 lakh

customers, it has grown 10X in last one year. With three rounds of funding of $151 mn, it is

well funded by key US, Indian, Japanese & Korean investors like General Atlantic,Tiger Global

SAIF Partners, KTB ventures and BeeNext. It is headquartered in Bangalore with a team of

4000+

employees.

Role and Responsibility – Sales Executive

• Identifies business opportunities by identifying prospects.

• Sells products by establishing contact and developing relationships with prospects recommending

solutions.

• Outbound calling on data collected through lead generation activities / secondary data

sources. • Daily follow-ups on older leads and work on new leads.

• Maintains quality service by establishing and enforcing organization standards. • Must be

energetic, well-spoken, and eager to close sales deals and generate revenue for the

organization.

About Training- Training will be provided for initial few days for an employee to understand end

to end process.

Employee Value Proposition:

• Employee health insurance of Rs 1 lakh per year. Premium is paid by

the company. • Employees get free lunch and snacks.

• Monthly reward and recognition to outstanding performers.

• Employees get promotion every 6 months basis performance. Outstanding performers

can qualify for promotion every quarter. So an employee can get promoted up to 4

times in a year. Every promotion results in change of designation and increase of

salary .

• Accelerated career growth of employees and one can become UH in another 3 months

time)

• Regular team parties and Annual Day outing for all employees.

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.

• Reporting to the Customer Experience Manager
• Work from office: the role will be based in Bark’s offices in Bangalore
• The package will be a good base salary with excellent commission on top
• He/she will be responsible for the following aspects of customer success, including:
• Front-line B2B support for inbound calls & mails (ratio 80:20))
• Successful onboarding of professionals to buy their first pack, soft sales for elite/up-gradation
• Build sustainable relationships and trust with customer accounts through open and interactive communication

Requirements

• Well versed in English and Telugu (oral and written communication)
• Experience in sales or customer support domain will be appreciated
• Fresh graduate or less than 2 years of experience
• A go-getter attitude to get things done efficiently and resolve user queries in a single contact
• Excellent communication style and ability to stay calm under pressure

Desirable

• Knowledge of any CRM tools/customer success platforms and how they work (Zendesk is preferred)
• Comfortable to work for 40 hours/ week on a roster basis
• Knowledge of other languages will be an advantage

Role : Senior Software Engineer/Software Engineer

Experience : 1-2 Year(s)/2-4 Year(s)

Location : Bangalore

Education : B. Tech(CSE)/similar field of study/equivalent practical experience

Minimum qualifications:

• Software development experience in one or more general purpose programming languages.
• Experience working with two or more from the following: 
• Mobile Application Development
• Distributed Computing
• Machine Learning
• Image Processing
• Developing Large Software Systems
• Working proficiency and communication skills in verbal and written English

Preferred qualifications:

• Master’s degree, further education or experience in engineering, computer science or other technical related fields.
• Understanding of agriTech domain and application of technology in farming
• Interest and ability to learn other coding languages as needed.