1 Opening(s)
10.0 Year(s) To 20.0 Year(s)
23.00 LPA TO 24.00 LPA
• Production Efficiency & Optimization:
o Develop and implement productivity improvement plans.o Analyze and improve work methods using time and motion studies.o Monitor and control production targets and efficiencies.
• Line Balancing & Layout Planning:
o Design effective production line layouts based on product requirements.o Ensure optimal operator and machine utilization.o Perform line ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
1.80 LPA TO 3.00 LPA
he job description for a "bufferman" varies significantly depending on the industry, as the term applies to roles in manufacturing, construction, and water treatment. In general, a bufferman's duties center on maintaining workflow and ensuring quality by acting as a buffer against disruptions.
Manufacturing and production
In a manufacturing context, a bufferman operates ...
2 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Role Overview
As a Senior Platform Engineer – MLOps, you will play a key role in designing, building, and
maintaining the infrastructure and workflows that support our machine learning systems. You’ll
work closely with data scientists, ML engineers, and DevOps teams to implement scalable
MLOps solutions, mentor team members, and ensure smooth deployment and ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
7.00 LPA TO 9.00 LPA
Buffing Engineer
Designation: Up to Senior Executive
Location: Maroli
Education: Diploma / B.E. - B.Tech - Mechanical\
Experience: 5 to 7 years experience in Buffing division of any heavy manufacturing, industrial kitchen utensil manufacturers
Budget: Up to 9 LPA
## Transport facility available from Surat add Navsari.
Responsibilities:
Surface Preparation & Finishing
Oversee buffing, polishing, and finishing processes to ...
2 Opening(s)
2.0 Year(s) To 3.0 Year(s)
0.00 LPA TO 0.00 LPA
Key Responsibilities
Model Development & Training
○ Design, train, and fine-tune deep learning and machine learning models (transformers, CNNs, RNNs, gradient boosting, etc.).
○ Implement data preprocessing pipelines, feature extraction, and
augmentation techniques.
○ Conduct hyperparameter optimization and experiment management. ● Evaluation & Optimization
○ Run model evaluations, benchmark against baselines, and perform ablation studies.
○ ...
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)
10.0 Year(s) To 15.0 Year(s)
10.00 LPA TO 12.00 LPA
Brief Job Profile: The role involves managing overall Maintenance Operations of the plant.Some Important Responsibilities of a Maintenance Manager
PREVENTIVE MAINTENANCE, PLANNING & EXECUTION
Prepares plan for preventive & predictive maintenance including over howling based on MTTR- MBF.
Notifies in advance the requirement of critical parts.
BREAKDOWN & CONTIGENCY MANAGEMENT
Foresees the possibility of contingency ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
4.80 LPA TO 6.00 LPA
Job Description:
We are looking for an experienced and self-driven Shift Engineer to oversee and manage production activities in plastic moulding operations. The role involves supervising machine operators, ensuring smooth production processes, maintaining quality standards, and coordinating with maintenance and quality teams to achieve production targets.
Key Responsibilities:
Manage and supervise day-to-day shift ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
4.80 LPA TO 6.00 LPA
Job Overview:
We are seeking an experienced Printing Operator with a strong background in plastic moulding and printing processes. The ideal candidate should be skilled in operating, monitoring, and maintaining printing machines used for plastic products, ensuring high-quality output and timely production.
Key Responsibilities:
Operate and manage printing machines used in plastic moulding/packaging ...
1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
About the Role: Assistant Factory Manager should be efficient in productionmanagement and meet customer timelines for delivery. Maintain machinemaintenance schedules, manage factory man power efficiently including thediscipline, attendance and productivity. Ensure that procedures of ISO standards arefollowed as per accordance with the company policies and maintain qualitythroughout the production with association ...