1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
8.00 LPA TO 10.00 LPA
It is a next-generation clean energy company headquarteredin Ahmedabad, Gujarat, operating at the forefront of India’s green hydrogen, renewable energy and advanced energy storage transition. With full-stack capabilities spanning electrolyser manufacturing, hydrogen systems engineering, EPC execution and large-scale project commissioning, It is among India’s earliest companies to translate green hydrogen ambition into operating assets.The ...
8 Opening(s)
4.0 Year(s) To 6.0 Year(s)
6.00 LPA TO 7.20 LPA
The Plumbing Draftsman will be responsible for preparing shop drawings, coordinated plumbing layouts, and as-built drawings for all plumbing systems in MEP projects. You will work closely with design engineers, BIM modelers, project managers, site engineers, and other discipline draftsmen to ensure drawings are execution ready and aligned with project ...
10 Opening(s)
4.0 Year(s) To 10.0 Year(s)
6.00 LPA TO 14.00 LPA
CFD & Moldflow
Job ID : 410001
Experience : 4 - 10 Years
Qualification : B.E. /B. Tech or ME /M.Tech (Mechanical, Aero, Automobile, Thermal)
Location : Chennai
No of Positions : 03
Skill Set : CFD, STAR CCM+, Preon LAB, SIMERICS
Domain : Automotive
CTC Range : 14 LPA
Job Description:
Familiarity with the 3D CFD ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
3.00 LPA TO 5.00 LPA
Design & Development of New Conceptual CAD Models as per Project Requirement
Perform engineering calculations to achieve design requirements.
Creation of Assemblies, Sub-Assemblies, and Engineering Drawings
Creation of Bill of Material (BOMs)
Coordination with the vendor to resolve design & drawing-related queries.
Getting inputs through different technical design reviews and improving the design.
Inspect the prototype ...
1 Opening(s)
10.0 Year(s) To 15.0 Year(s)
30.00 LPA TO 35.00 LPA
Role OverviewThe Head of Marketing will be responsible for leading the end-to-end marketing functionacross all business verticals – Retail Stores, Apple Authorised Service Centres, B2BEnterprise, and Education. The role is central to shaping brand perception, enhancingcustomer engagement, driving footfalls, generating quality leads, and ensuring a consistentand premium brand experience across ...
1 Opening(s)
25.0 Year(s) To 35.0 Year(s)
Not Disclosed by Recruiter
Position – Sr. Architectural Design Manager
Location - Embassy Maanyata Business Park,Outer Ring Road, Nagavara, Bangalore, Karnataka. 5660045
Job Time - 9:00am - 6:00pm
About Us We are a company established in 1972 with a team of Architects and Engineers pursuing a clear vision of delivering projects that meet both the needs of ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
5.00 LPA TO 6.00 LPA
Responsibilities Develop detailed 3D models and 2D drawings using Autodesk Inventorbased on project requirements and specifications. Create and manage assembly models, BOMs (Bill of Materials), and partlibraries. Collaborate closely with mechanical and manufacturing teams to ensuredesign feasibility and accuracy. Maintain drawing/document control in Autodesk Vault tool. Ensure all designs comply ...
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 ...
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