1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
2.40 LPA TO 3.00 LPA
Job Description: Sr. Technician / Technician
Position Overview:
The Sr. Technician / Technician will be responsible for the installation, maintenance, troubleshooting, and repair of equipment and systems to ensure smooth and efficient operations. The role involves hands-on technical work, adherence to safety standards, and collaboration with engineering and production teams to minimize ...
3 Opening(s)
3.0 Year(s) To 5.0 Year(s)
12.00 LPA TO 20.00 LPA
Job Title: AI/ML Engineer
Location: GIFT City, Gandhinagar
Position Type: Full-time (1 Position)
Job Summary
We are seeking a highly skilled AI/ML Engineer with 3+ yeard of experience to design, develop, and integrate AI-powered solutions into our SaaS products. The ideal candidate will have strong expertise in Python, Object-Oriented Programming concepts, Large Language Models ...
2 Opening(s)
0 To 1.0 Year(s)
1.00 LPA TO 2.50 LPA
Effectively perform chemical analysis techniques specifically using HPLC, GC, Karl Fischer, Melting Point, IR, and UV-Vis instrumentation.
Completes documentation relating to material analysis and enters data into database/software systems.
Assist with production activities as required.
Laboratory environment requiring the ability to carry out laboratory operating procedures in a safe manner, while maintaining a ...
1 Opening(s)
6.0 Year(s) To 15.0 Year(s)
5.00 LPA TO 15.00 LPA
1. Assisting the Maintenance Manager in planning, organizing, and coordinating maintenance activities.2. Supervising maintenance technicians and contractors.3. Scheduling and coordinating maintenance work orders and requests.4. Conducting routine inspections and audits to ensure compliance with safety and regulatory requirements.5. Identifying and addressing potential equipment failures and reliability issues.6. Implementing preventive maintenance ...
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.
○ ...
7 Opening(s)
8.0 Year(s) To 10.0 Year(s)
18.00 LPA TO 24.00 LPA
Job Description
The Platform Core Development team provides the foundational software stack for Personal Cloud, our flagship white-label cloud content platform. This system supports backup, sync, and content sharing for millions of global mobile operator subscribers. The team architected and continues to evolve our platform to efficiently manage petabytes of data, ...
1 Opening(s)
6.0 Year(s) To 10.0 Year(s)
4.00 LPA TO 7.50 LPA
Key Responsibilities:•Handling of QMS tools like change control, CAPA, Deviation etc.•Handle QA efficiently and able to maintain documentation as per GMP.•Preparation and maintenance of training schedule and co-ordinate with working staff to establish Procedures, Standards and System.•Preparation of Raw Material and Finished Product specification in accordance with Regulatory Guideline.•Vendor Evaluation, ...
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
2 Opening(s)
2.0 Year(s) To 6.0 Year(s)
3.00 LPA TO 6.00 LPA
Plastic mold manufacturing engineering involves designing and creating molds from steel or aluminum to mass-produce custom plastic parts through injection molding. This process uses high pressure to inject melted plastic into the mold cavity, where it cools and solidifies before being ejected as a finished component. Key aspects include mold design ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
10.00 LPA TO 12.00 LPA
Position: Cluster Category Procurement Manager – Colors & Additives
Department: Global Procurement
Supervisor: Procurement Cluster Director - Asia Africa
Backup:
eMis Code:
Main Purpose
Procurement Category Manager (Colors and Additives) for the Asia Africa Cluster is responsible for developing and
executing procurement initiatives within the colors & additives category, aligned with the global & cluster strategy.
Reporting directly ...