1821 Job openings found

1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
3.60 LPA TO 4.12 LPA
About Us: We are a rapidly growing tech startup with a vision to develop all-round abilities in kids 0-6 years old, with just 5 minutes of daily, screen-free activities. The company is a category creator and a category leader in its industry with over 500,000K happy customers in 158+ countries. It ...
2 Opening(s)
0 To 3.0 Year(s)
Not Disclosed by Recruiter
We are looking for motivated and results-driven Virtual Sales Representatives to join our dynamic online sales team. As a member of our remote sales force, you will engage with potential and existing customers through digital channels to drive sales, build relationships, and meet revenue targets. This role requires excellent communication skills, ...
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)
2.0 Year(s) To 3.0 Year(s)
3.00 LPA TO 3.50 LPA
Position:         Environment Engineer Location:        Sarigam Near By Vapi Experience:     2 - 3 Years  Industries:     Chemical  Responsibilities: Study Environmental Regulatory requirements and conduct GAP assessment with respect to existing practices. Prepared GAP closing plan for to fulfill requirements. Timely submission (online & physical) of monthly, quarterly, half yearly and annual ...
1 Opening(s)
6.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 20.00 LPA
JD for Dy. Manager -Human Resources – Employee Engagement and Culture BuildingJob Title: Dy. Manager - HR Department: Human ResourceReports to: AVP- HRRequired Qualification: Master’s degree inHuman Resources / MBA (HR) or equivalent Experience: 6-8 years of relevant HR experience with proven exposure to employee engagement and culture building programmes. Experience in driving employee survey action plans ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
2.50 LPA TO 3.00 LPA
Key Responsibilities:   Make a minimum of 120 outbound calls per day to potential clients generated through online sources such as Housing.com, 99acres, MagicBricks, walk-ins, social media, and other portals. Convert inbound and outbound inquiries into scheduled site visits, ensuring that clients have the necessary information and motivation to visit properties. Handle the end-to-end ...
1 Opening(s)
4.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Major Activities: Manage the movement of Finished Goods & scrap materials out of the site in accordance withorganizational policy and procedure, and to comply with relevant local and international law(Exports) and company processes. Liaise with other departments in order to establish and maintain effective and relevant outboundactivities. Manage outbound delivery ...
10 Opening(s)
0 To 10.0 Year(s)
1.20 LPA TO 6.00 LPA
About the work from home job/internship Selected intern's day-to-day responsibilities include:1. Assist in screening resumes and conducting initial candidate assessments.2. Source potential candidates through online channels and networking events.3. Update and maintain candidate databases and recruitment systems.4. Coordinate interviews and communicate with candidates throughout the recruitment process.5. Collaborate with recruiters to ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Vice President – Sales & Diagnostics 📍 Location: Jaipur | 🕒 Full-Time | 💼 Experience: 5–10 Years  About Us: We are one of India’s fastest-growing online healthcare service aggregators, serving 2,00,000+ customers across Medicine Delivery, Lab & Diagnostic Services, and Health & Wellness products. We are on a mission to make healthcare affordable, ...
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 

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