3 Opening(s)
15.0 Year(s) To 20.0 Year(s)
15.00 LPA TO 15.00 LPA
Designation: Production Leadership RoleCompany Name: Simplex Engineering & Foundry WorksLocation: Tedesara / Bhilai / Durg
Job Profile
Experience: 15–20 years in Heavy Steel Structure / Equipment Manufacturing Industry
Qualification: B.E. / Diploma in Mechanical Engineering
Roles & Responsibilities
Technical overview & Process Management
Indepth knowledge of fabrication process, welding technologies (e.g. SMAW, FCAW, GMAW, SAW), product structure nesting, metal cutting technologies, ...
2 Opening(s)
5.0 Year(s) To 10.0 Year(s)
6.00 LPA TO 7.00 LPA
Job Description
Job Title: Sr. Sales Engineer Department Sales –Branch Location Bharuch- Role & Responsibilities – Responsible for meeting / exceeding monthly & yearly Sales targets. Increase business in assigned accounts Understanding of customer requirements / market segment and the trends. Introduction of latest products and technical updates to the customers Record ...
1 Opening(s)
4.0 Year(s) To 10.0 Year(s)
4.20 LPA TO 4.80 LPA
System design:
Design, create, and implement automated systems for assembly, manufacturing, and production lines.
Software and programming:
Program and configure programmable logic controllers (PLCs), human-machine interfaces (HMIs), and Supervisory Control and Data Acquisition (SCADA) systems.
CAD and 3D modeling:
Use software like SolidWorks Electrical and AutoCAD for designing electrical schematics and 3D control cabinets.
Problem-solving:
Analyze and solve complex issues in automated systems and anticipate ...
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)
10.0 Year(s) To 20.0 Year(s)
10.00 LPA TO 12.00 LPA
Job Title: Plant Head – Aluminium Die Casting
Location: Jikthan Phata, Gangapur Road, Chhatrapati Sambhajinagar (Aurangabad)Salary Range: Up to ₹1,00,000 per month (Negotiable based on experience)Industry: Aluminium Die Casting ManufacturingEmployment Type: Full-Time, On-siteExperience Required: 10–20 years (with at least 5 years in a leadership position)
About the Company:
We are a leading manufacturer in the Aluminium Die Casting industry, specializing ...
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