1 Opening(s)
6.0 Year(s) To 10.0 Year(s)
8.00 LPA TO 10.00 LPA
Key Responsibilities:
1. Project Planning & Coordination:
Scope Definition Support: Assist the Project Manager in defining project scope, objectives, and deliverables in collaboration with user departments (Production, R&D, Maintenance).
Schedule Development: Contribute to the development and tracking of project schedules, identifying critical paths and potential delays.
Resource Allocation Support: Assist in planning and coordinating ...
2 Opening(s)
4.0 Year(s) To 8.0 Year(s)
10.00 LPA TO 12.00 LPA
Develop process design deliverables such as PFDs, P&IDs, equipment sizing, mass & energy balances.
Prepare and review Basic Engineering Packages (BEP) and Detailed Engineering Packages (DEP).
Conduct process simulations, hydraulic calculations, and heat & material balances.
Work on equipment design (reactors, heat exchangers, distillation columns, pumps, compressors, etc.).
Prepare process datasheets for equipment and ...
1 Opening(s)
7.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
About the Role
We are looking for a highly skilled Engineering Manager who can lead our development team and contribute to building scalable, high-performance products. The ideal candidate should have strong technical expertise, leadership skills, and the ability to design architecture and guide teams toward innovative solutions.
Key Responsibilities
Lead and mentor a ...
1 Opening(s)
4.0 Year(s) To 8.0 Year(s)
6.00 LPA TO 12.00 LPA
Job Description:-
● Should have good Knowledge in Review & prepare mechanical design basis● Should have knowledge of various standards and codes.● Should have good knowledge in MDS of equipment● Design and develop specifications for bought-out equipment & packages● Prepare Technical Questionnaire for Static & rotary type Equipment● should have good ...
1 Opening(s)
12.0 Year(s) To 18.0 Year(s)
12.00 LPA TO 18.00 LPA
A General Manager (GM) in a Direct Reduced Iron (DRI) plant is a senior leadership role responsible for overseeing all aspects of plant operations, including production, maintenance, safety, and administration, to ensure efficient, quality-controlled, and profitable operation of the DRI facility. Key responsibilities include managing production processes, overseeing mechanical and maintenance activities, ensuring ...
1 Opening(s)
5.0 Year(s) To 6.0 Year(s)
4.80 LPA TO 6.00 LPA
We need to depute 01 Proto Incharge for proto activities Experience & Expected Job profile,1. Familiar with TLT & Sub station structure drawings.2. Experience of handling Proto assy--Contractor & Monitoring the monthly proto assy schedule,3. Coordination with Fabrication, QC,Planning & Engg Department,4. rectification follow-up of Proto corrected material & Handover ...
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)
8.0 Year(s) To 13.0 Year(s)
35.00 LPA TO 40.00 LPA
We are developing a high thrust-class full-flow staged combustion (FFSC) liquidrocket engine operating on liquid oxygen and liquid methane. As Rocket EngineAssembly Lead, you will be responsible for end-to-end planning, coordination, andexecution of the assembly, integration, and validation of the propulsion system. Thisrole bridges engineering design with hands-on assembly execution, ...
1 Opening(s)
1.0 Year(s) To 2.0 Year(s)
Not Disclosed by Recruiter
What You’ll Do
Build AI Modules: Develop and test GenAI components, RAG pipelines, and multi-modal agents using frameworks like LangChain/LangGraph.
Experiment with LLMs: Work with OpenAI, Anthropic, Mistral, Phi, etc. Fine-tune prompts, optimise performance, and prototype new ideas.
Automation & Integration: Build Python-based scripts and automate workflows using n8n and cloud-native tools.
Cloud Exposure: ...