1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
3.60 LPA TO 4.20 LPA
Key Responsibilities
* Manage and plan daily dispatch schedules* Coordinate between clients and internal operations teams* Handle incoming call volume and maintain professional communication* Monitor order status and ensure timely dispatch* Address client queries and provide real-time updates* Maintain dispatch tracking sheets in Excel* Prepare daily & weekly reports* Manage email ...
1 Opening(s)
2.0 Year(s) To 6.0 Year(s)
3.00 LPA TO 4.50 LPA
Key Responsibilities:
Review tender documents and identify scope, specifications, and compliance requirements
Coordinate with internal departments (engineering, procurement, finance) to gather necessary inputs for bid preparation
Prepare and submit tender proposals in line with client requirements and deadlines
Track tender opportunities through portals, publications, and client communications
Ensure timely documentation including pre-qualification, technical, and commercial ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
1.80 LPA TO 2.04 LPA
Role OverviewAs a Production Engineer in 3D Printing, you will be responsible for planning, coordinating, and executing all 3D printing operations from file preparation to post-processing and final finishing. You will collaborate closely with design and quality teams to ensure smooth production flow, maximise machine uptime, and ensure on-time delivery ...
1 Opening(s)
4.0 Year(s) To 10.0 Year(s)
3.50 LPA TO 5.00 LPA
We are a growing glass manufacturing company catering to B2B clients across India. The business is managed by four promoters/directors, each handling different functional areas. To streamline coordination, communication, and follow-ups, the company is hiring a professional Executive Assistant cum Personal Assistant who will serve as a central point of ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
8.00 LPA TO 11.00 LPA
Key Responsibilities:
Lead sourcing and vendor management for green energy projects.
Oversee the supply chain and logistics function, ensuring timely and cost-effective delivery of goods and services.
Manage inventory control systems to optimize stock and minimise holding costs.
Drive cost optimisation initiatives across procurement and logistics operations.
Foster cross-functional collaboration with project, engineering, and finance ...
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
20 Opening(s)
4.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Locations: Chandigarh, Delhi, Ahmedabad, Chennai, Vijayawada
We are seeking a dynamic and results-driven Enterprise Sales Manager with deep expertise in steel industry sales and a strong track record in client acquisition. The ideal candidate will be responsible for driving revenue growth by identifying, pursuing, and closing high-value enterprise deals across industrial sectors.
Key Responsibilities:
Client Acquisition & Business Development
Identify ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
2.50 LPA TO 3.25 LPA
Job Responsibilities:
Operate and oversee CNC, bore grinding, and surface grinding machines.
Ensure high-quality tool manufacturing and maintenance.
Support production by providing tool room solutions.
Maintain quality and production standards as per company guidelines.
Troubleshoot technical issues in machining processes.
Skills Required:
Hands-on knowledge of CNC, bore grinding, and surface grinding.
Understanding of tool room operations.
Strong problem-solving and ...
1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
11.00 LPA TO 15.00 LPA
Key Responsibilities
Review and analyze tender documents like technical specs, drawings, BOQ, and scope of work.
Prepare accurate cost estimates for materials, labor, equipment, subcontracting, and overheads.
Work with design, engineering, and sales teams to gather technical info for costing.
Send inquiries to suppliers and subcontractors to get competitive quotes.
Prepare clear comparison statements of ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
3.00 LPA TO 4.80 LPA
Develop, manage, and maintain daily, weekly, and monthly reports and dashboards to track business performance across production, inventory, sales, and supply chain functions.
Design and manage Excel-based templates and data models for regular reporting, ensuring accuracy and consistency.
Collect, clean, and validate large datasets from internal systems and external sources for operational ...