2 Opening(s)
3.0 Year(s) To 5.0 Year(s)
17.00 LPA TO 22.00 LPA
Supervise and coordinate the operational activities of the decentralized wire meshes production unit in India, from order entry to product shipment, within respect to allocated times, costs, and expected quality to meet customer satisfaction. This role also involves compliance with regulations, safety, human resource management, machine fleet management, stock management, ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
4.80 LPA TO 6.00 LPA
We are a dynamic manufacturing company in the FMCG sector, committed to operational excellence, innovation, and sustainable practices. Join our team to lead plant operations and drive growth in a collaborative environment.
Role OverviewAs Plant Head, you will oversee all aspects of plant management, including production, team supervision, and strategic operations. ...
8 Opening(s)
1.0 Year(s) To 3.0 Year(s)
2.00 LPA TO 4.00 LPA
1. Purpose of the JobOperate on several looms to manufacture wire cloth at the expected quality, following instructions, while respecting deadlines and ensuring product safety for customers.
2. Main ActivitiesMachine Operation: Supply looms with raw materials and consumables, and restart machines after stoppages as quickly as possible.Setup: Participate in the loom ...
2 Opening(s)
1.0 Year(s) To 3.0 Year(s)
2.00 LPA TO 4.00 LPA
Job Purpose:To draw all warp wires from a warped beam through harness heddles and reed dents for weaving, ensuring accuracy, product safety, and compliance with deadlines.
Key Responsibilities:Prepare workstation and perform self-checks.Draw warp wires through harness heddles and reed dents.Correct drawing-in errors on looms.Maintain quality monitoring and production records.Support colleagues and ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
1.80 LPA TO 3.00 LPA
1. Purpose of the JobTo warp all wires onto a beam for the subsequent drawing-in operation and rewind wires from large spools onto smaller ones, strictly following instructions, deadlines, and product safety procedures.
2. Main ActivitiesPrepare the warping machine and conduct thorough self-checks.Wind wires onto a warping beam according to the ...
3 Opening(s)
4.0 Year(s) To 6.0 Year(s)
12.00 LPA TO 15.00 LPA
We’re looking for an AI/ML Engineer with hands-on expertise in LLMs, Agentic AI, NLP and some Computer Vision. You’ll build scalable AI solutions using transformer-based models, LLM-powered chat systems, and vector databases, primarily in Python. A research-driven, proactive mindset is highly valued.What you’ll do:
o Build and optimize document classification & information extraction pipelines
o Build Agentic AI for FinTech usacases
o Train/fine-tune NLP models (Transformers/LLMs) for classification tasks
o Implement LLM ...
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
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
3.00 LPA TO 3.60 LPA
Responsibilities:
Manage procurement activities for materials and services required in fire safety equipment production.
Source, evaluate, and maintain relationships with vendors ensuring timely and cost-effective material acquisition.
Develop and implement procurement strategies to optimize processes and negotiate supplier contracts.
Oversee inventory levels, aligning procurement with manufacturing schedules to prevent shortages or excesses.
Ensure purchased materials ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
3.00 LPA TO 4.20 LPA
As a Production Engineer at company, you will play a critical role in ensuring the efficient and effective production of high-quality solar energy products, including Solar Array Junction Boxes, Solar Panels, and related components. Reporting to the Production Manager, you will be responsible for overseeing manufacturing processes, optimizing production workflows, and maintaining ...
1 Opening(s)
10.0 Year(s) To 15.0 Year(s)
8.00 LPA TO 12.00 LPA
JOB RESPONSIBILITIES of Production Manager:
Planning
Production planning
Resource Planning (Man, Machine, Materials)
Determine production requirements based on plant capacity and production specifications.
Plan workflow and schedules for production departments.
Execution
Production execution
Co-ordination between shift supervisors
Oversee production processes
Selection of purchasing materials required for production
Machine Equipment Installation commissioning of machines
Monitoring
Monitor, Measure Report on Manufacturing Plans Achievements within Agreed ...