434 Job openings found

1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
20.00 LPA TO 24.00 LPA
We are looking for a hands-on technical head who can build teams, architect modern systems, and work closely with leadership to scale the business. • Lead technology strategy aligned to Australian market expansion • Architect and deliver modern solutions across: Shopify / Shopify Plus (stores, apps, integrations) • Data, BI, analytics, ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Role Objective To drive business development and revenue growth across the Europe region through OEM engagement, enquiry conversion, and end-to-end techno-commercial sales ownership, with flexibility to support domestic and other international markets as required. Key Responsibilities Lead business development activities for assigned European territories. Manage OEM relationships and generate enquiries through proactive outreach. Handle end-to-end ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
7.00 LPA TO 8.50 LPA
About the Role: Electrical & Instrumentation (E&I) Engineer As an E&I Engineer, you’ll play a vital role in supporting the design and delivery of docking and mooring systems. You’ll work within a multi-disciplinary engineering team to develop detailed electrical schematics, documentation, and testing procedures that meet client specifications and industry standards. Key Responsibilities Develop ...
3 Opening(s)
8.0 Year(s) To 10.0 Year(s)
15.00 LPA TO 27.00 LPA
We are hiring an AI Engineer – Expert to provide technical leadership across enterprise-grade AI / ML / RPA programs. The role will act as the architectural authority, ensuring best-in-class solution design, implementation excellence, and robust governance across all AI deployments.   Key Responsibilities Provide technical leadership and expert guidance across AI / ML / RPA solution ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
15.00 LPA TO 24.00 LPA
Role Overview We are seeking a high-calibre AI Engineer – Lead to spearhead end-to-end design, deployment, and lifecycle management of AI/ML solutions. The role is critical to driving automation, predictive analytics, and data-driven intelligence across business use cases, ensuring scalable and compliant AI deployments. Key Responsibilities Design, develop, and deploy AI/ML models aligned to defined business use ...
3 Opening(s)
5.0 Year(s) To 8.0 Year(s)
4.00 LPA TO 5.00 LPA
We are seeking an experienced and proactive Procurement Specialist to join our team and manage sourcing, purchasing, and supply chain activities for a wide range of engineering and industrial products. The ideal candidate will have a strong background in procurement for technical products, excellent negotiation skills, and the ability to ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
8.00 LPA TO 10.00 LPA
 About the Company A next-generation SaaS platform building advanced solutions in supply chain intelligence—covering Procurement, Distribution, Forecasting, Workflow Automation, and AI-driven copilots.The company moves fast, ships often, and prioritizes reliability. QA is treated as an engineering discipline, not a checkbox. This role is ideal for someone early in their career who wants ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
3.00 LPA TO 4.50 LPA
Key Responsibilities: Develop 2D/3D models and technical drawings using CAD software such as SolidWorks, AutoCAD, or similar tools Design marine components and assemblies in line with project specifications and industry standards Collaborate with production, procurement, and quality teams to ensure design feasibility and manufacturability Revise and update designs based on feedback, testing, and client ...
1 Opening(s)
25.0 Year(s) To 30.0 Year(s)
48.00 LPA TO 60.00 LPA
Role:Leadership and Management• Lead and manage the MEP design team in Bangalore (Mechanical, Electrical, Plumbing, andFirefighting disciplines.• Oversee team workload, performance, mentoring, and professional development.• Ensure timely delivery of design packages as per Dubai office requirements and project schedules.• Review and approve MEP design deliverables before submission.• Foster a collaborative ...
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 

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