We’re searching for professionals that have a solid track record of creating long-term value for organizations. First and foremost, we’re looking for a leader who understands how to leverage real data and capitalize on business trends and opportunities.
We’re looking for executives who are customer-obsessed and ready to solve the changing needs of our clients and should have knowledge about selling of software services. Candidates should have strong communication and leadership skills, as well as the ability to manage a diverse team in an evolving industry landscape.
Responsibilities:
Identifying, qualifying, and securing business opportunities; coordinating business generation activities; developing customized targeted sales strategies
Building business relationships with current and potential clients
Collaborating with sales and leadership to secure, retain, and grow accounts
Creating informative presentations; presenting and delivering information to potential clients at client meetings, industry exhibits, trade shows, and conferences
Creating and maintaining a list/database of prospect clients; maintaining database (Zoho CRM, Excel, etc.) of prospective client information
Cold calling; making multiple outbound calls to potential clients; responding to enquiry calls; closing sales and working with client through closing process;
Meeting all quotas for cold, active, inactive calls, appointments, and interviews; meeting or exceeding annual sales goals.
Maintaining a pipeline of all sales administration using CRM software
Arrange meetings for senior management with prospective clients
Skills:
Bachelor’s degree is required
3 years of experience in sales – particularly in Software Services
Excellent written and verbal communication
Knowledge of productivity tools and software
Must have good negotiation skills
Must be able to create good presentations

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Strong Data Architect, Lead Data Engineer, Engineering Manager / Director Profile
Mandatory (Experience 1) - Must have 10+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
Mandatory (Experience 2) - Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
Mandatory (Experience 3) - Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company
Mandatory (Experience 4) - Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
Mandatory (Experience 5) - Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
Mandatory (Team Management) - Must have managed a team of atleast 5+ Data Engineers (Read Leadership role in CV)
Mandatory (Education) - Must be from Tier - 1 Colleges, preferred IIT
Mandatory (Company) - B2B Product Companies with High data-traffic
Preferred Companies
MoEngage, Whatfix, Netcore Cloud, Clevertap, Hevo Data, Snowflake, Chargebee, Fractor.ai, Databricks, Dataweave, Wingman, Postman, Zoho, HighRadius, Freshworks, Mindtickle
Responsibilities and Duties
- Researching & extracting relevant details about companies, executives, etc., from the Internet using various tools for various marketing campaigns
- Manage large database sets in multiple Excel files
- Responsible for data extraction and analysis by understanding different locations, industries, departments, designations of executives etc.
Link to apply- https://tally.so/r/w8RpLk
About Us
At GreenStitch, we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives.
The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs.
You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitch’s mission, values, and ethical standards.
What You’ll Do:
- AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency.
- Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges.
- Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities.
- Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements, rapidly prototype solutions, and iterate on ideas for continuous improvement.
- Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact, ensuring production readiness.
- Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions.
- Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals.
- Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders.
What You’ll Bring:
- Education: Bachelors/Master’s degree in Data Science, Computer Science, AI, or a related field.
- Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning.
- Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks (TensorFlow, PyTorch), and cloud platforms (Azure, AWS, GCP).
- Software Development: Experience in Python, Java, or similar languages, and familiarity with MLOps tools.
- Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach.
- Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications.
- Collaboration & Communication: Strong ability to work with cross-functional teams, communicate complex ideas, and drive AI adoption.
Why GreenStitch?
GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will:
- Work on high-impact AI projects that contribute to sustainability and decarbonisation.
- Be part of a dynamic and collaborative team committed to making a difference.
- Enjoy a flexible, hybrid work model that supports professional growth and work-life balance.
- Receive competitive compensation and benefits, including healthcare, parental leave, and learning opportunities.
Location: Bangalore(India)
Employment Type: Full Time, Permanent
Industry Type: Climate-Tech / Fashion-Tech
Department: Data Science & Machine Learning
Join us in shaping the future of sustainable fashion with cutting-edge AI solutions! 🚀
o You’re both relentless and kind, and don’t see these as being mutually
exclusive
o You have a self-directed learning style, an insatiable curiosity, and a
hands-on execution mindset
o You have deep experience working with product and engineering teams
to launch machine learning products that users love in new or rapidly
evolving markets
o You flourish in uncertain environments and can turn incomplete,
conflicting, or ambiguous inputs into solid data-science action plans
o You bring best practices to feature engineering, model development, and
ML operations
o Your experience in deploying and monitoring the performance of models
in production enables us to implement a best-in-class solution
o You have exceptional writing and speaking skills with a talent for
articulating how data science can be applied to solve customer problems
Must-Have Qualifications
o Graduate degree in engineering, data science, mathematics, physics, or
another quantitative field
o 5+ years of hands-on experience in building and deploying production-
grade ML models with ML frameworks (TensorFlow, Keras, PyTorch) and
libraries like scikit-learn
o Track-record in building ML pipelines for time series, classification, and
predictive applications
o Expert level skills in Python for data analysis and visualization, hypothesis
testing, and model building
o Deep experience with ensemble ML approaches including random forests
and xgboost, and experience with databases and querying models for
structured and unstructured data
o A knack for using data visualization and analysis tools to tell a story
o You naturally think quantitatively about problems and work backward
from a customer outcome
What’ll make you stand out (but not required)
o You have a keen awareness or interest in network analysis/graph analysis
or NLP
o You have experience in distributed systems and graph databases
o You have a strong connection to finance teams or closely related
domains, the challenges they face, and a deep appreciation for their
aspirations
Requirements
POST: Sales Executive (Male/Female)
JD Includes:
- Relevant Experience from Banking/Insurance Industry
- Two-Wheeler Must
- Well versed with Ahmedabad geography
- Able to drive Loan Volume Targets
We are interested in hiring a dedicated and hardworking individual as a Telecaller to join our https://resources.jobsoid.com/job-descriptions/industry/sales">Sales Department.
Your main goal is to boost our sales by reaching out to the existing customers as well as potential customers. As a Telecaller, you are responsible for handling sales over the phone entirely. You are also responsible for solving questions in regard to the product or service provided by the company.
In addition to this, you should collect desired information from the clients and maintain healthy relations with them. You are required to understand the customer’s requirements and demands and close the sales deal efficiently. You are also required to write down important information provided by the customer and follow up with them regularly.
As an ideal candidate, you should be an excellent communicator along with convincing abilities. Great report-writing skills, amazing negotiation skills, and phenomenal telephone etiquette are essential for this position.
If you are ready to take up these duties and responsibilities of Telecaller, then apply right away. We will love to meet you.
Responsibilities
-
Answering phones and explaining the product and services offered by the company.
-
Contacting existing customers as well as prospective customers using scripts.
-
Obtaining customer information and other relevant data.
-
Asking questions to the customer and understanding their specifications.
-
Resolving queries and issues related to the products and services.
-
Making recordings of all the sales phone calls and sales deals.
-
Taking and professionally processing product orders.
-
Maintaining the database of customers on a regular basis.
-
Suggesting solutions based on customers’ needs and requirements.
Requirements
-
High school diploma or equivalent.
-
Work experience as a Telecaller, https://resources.jobsoid.com/job-descriptions/sales/telemarketer">TeleMarketer, or a similar role in the Sales Department.
-
Professional certification sales and marketing will be an advantage.
-
Great interpersonal skills.
-
Exceptional oral and written communication skills.
-
Strong organizational skills.
-
Ability to work in a team or individually as and when required.
-
Ability to manage and handle multiple tasks.
-
Outstanding problem-solving skills.
-
Exceptional attention to detail.
-
Hard-working individual.
-
Good time management abilities.
-
Strong decision-making skills.
-
Ability to tolerate stress and pressure.
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
SpringML is looking to hire a top-notch Senior Data Engineer who is passionate about working with data and using the latest distributed framework to process large dataset. As an Associate Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team members will be part of the core team and play a critical role in scaling up our emerging practice.
RESPONSIBILITIES:
- Ability to work as a member of a team assigned to design and implement data integration solutions.
- Build Data pipelines using standard frameworks in Hadoop, Apache Beam and other open-source solutions.
- Learn quickly – ability to understand and rapidly comprehend new areas – functional and technical – and apply detailed and critical thinking to customer solutions.
- Propose design solutions and recommend best practices for large scale data analysis
SKILLS:
- B.tech degree in computer science, mathematics or other relevant fields.
- 4+years of experience in ETL, Data Warehouse, Visualization and building data pipelines.
- Strong Programming skills – experience and expertise in one of the following: Java, Python, Scala, C.
- Proficient in big data/distributed computing frameworks such as Apache,Spark, Kafka,
- Experience with Agile implementation methodologies









