1 Opening(s)
1.0 Year(s) To 5.0 Year(s)
5.00 LPA TO 6.00 LPA
Job Title: Marketing Executive
Department: Mall MarketingReports To: Marketing Manager Experience Required: 1–5 yearsLocation: Metro Junction Mall, Kalyan
Role Overview
The Marketing Executive will assist in executing marketing, branding, and promotional strategies to enhance the visibility, footfall, and brand image of the mall. The role involves supporting marketing campaigns, managing events, coordinating with ...
1 Opening(s)
3.0 Year(s) To 8.0 Year(s)
20.00 LPA TO 50.00 LPA
PRIMARY JOB FUNCTIONS
·
Engaging with internal and external stakeholders to facilitate and further the achievements of business goals.
·
Developing and implementing marketing promotion plans/programs for the country according to overall franchise plan and budget.
·
Portfolio Strategy & business development planning (includes new product launches)
·
Leading Product Launch and Life Cycle ...
10 Opening(s)
1.0 Year(s) To 4.0 Year(s)
1.44 LPA TO 2.16 LPA
The Operation Executive (Tally Calling) is responsible for reaching out to potential clients, understanding their business requirements, and demonstrating how Tally ERP 9/Prime can solve their accounting needs. This role bridges sales and technical support, requiring proficiency in Tally and excellent verbal communication.
Key Responsibilities
Outbound Calling & Lead Generation: Make designated daily ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
3.60 LPA TO 4.80 LPA
A marketing person develops and implements strategies to promote products or services, identify target audiences, and increase brand awareness. Key responsibilities include conducting market research, creating and managing marketing campaigns across digital and traditional channels, analyzing campaign performance, developing marketing content, managing budgets, and collaborating with sales and other teams. This role requires ...
2 Opening(s)
5.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 35.00 LPA
Associate Technical Lead, Software Development
Chennai, Tamil Nadu, IndiaExp - 5 to 7 YearsSalary - INR 30 Lac To 35 Lac
Key Responsibilities:
• Analyze, design and implement new features.
• Create automated tests.
• Develop and maintain supporting tooling.
• Analyze and fix bugs.
• Provide support to other (non-developer) team members and field engineers.
Qualifications:
•5 to ...
2 Opening(s)
1.0 Year(s) To 3.0 Year(s)
1.80 LPA TO 3.00 LPA
Overview:
The HR Recruiter at Vedita Ventures plays a crucial role in the recruitment process by sourcing, screening, and selecting candidates for IT and non-IT positions across India. This role requires a proactive and detail-oriented individual who can effectively manage the recruitment lifecycle while ensuring a positive candidate experience.
Key Responsibilities and ...
1 Opening(s)
5.0 Year(s) To 6.0 Year(s)
3.60 LPA TO 4.20 LPA
He should also be ready for travelling.
A Liaison Person (or Officer) serves as a primary point of contact and facilitator between two or more organizations, departments, or individuals to coordinate activities, foster collaboration, and ensure effective communication. Key responsibilities include establishing and maintaining relationships with external parties, representing the organization at ...
1 Opening(s)
4.0 Year(s) To 5.0 Year(s)
3.00 LPA TO 3.60 LPA
He should be ready for travelling
A Marketing Person for Dolomite is responsible for increasing the brand's market share and revenue by developing and executing marketing campaigns, conducting market research to understand customer needs, generating new business leads, and collaborating with sales teams to achieve targets. Key duties include brand management, product ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
15.00 LPA TO 22.00 LPA
Job Description We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments. Responsibilities :As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
About the Role :
We are looking for a hands-on Full Stack Data Scientist who can independently manage the
entire machine learning lifecycle—from data wrangling to deployment—without relying on a
dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self-
directed environment and is passionate about building real-world ML solutions that drive
business outcomes.
Key Responsibilities :
∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model
development, deployment, and monitoring.
∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,
TensorFlow, or PyTorch.
∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).
∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.
∙Collaborate with BI analysts and business stakeholders to translate requirements into
production-ready solutions.
∙Maintain and improve existing models and pipelines with minimal supervision.
Required Skills :
∙3+ years of experience in applied data science or ML engineering.
∙Strong Python programming skills, including experience with data manipulation and ML libraries.
∙Experience with Databricks and cloud-based ML deployment (Azure preferred).
∙Ability to work independently across the full stack of ML development and deployment.
∙Familiarity with version control (Git), CI/CD, and MLOps best practices.
∙Excellent communication skills and ability to work with remote teams across time zones.
Nice to Have
∙Experience with data pipeline development using PySpark or Delta Lake.
∙Exposure to Docker, REST APIs, or real-time inference.
∙Prior experience working in a manufacturing or industrial analytics environment.
Interview Process:
Shortlisted candidates will be required to complete:
∙An online technical skills assessment focused on Python and applied machine learning.
∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world
problem-solving and deployment capabilities.
Hours: 2:30 PM – 11:30 PM IST (working from Office)
Reports to: Manager, Data Analytics California, USA