1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
40.50 LPA TO 54.00 LPA
Location: Dubai, United Arab EmiratesJob Summary
We are seeking an experienced Planning Engineer to manage project scheduling, progress monitoring, and cost control for construction projects. The role involves close coordination with project teams, site monitoring, risk identification, and ensuring timely and cost-effective project delivery in line with approved plans and specifications.
Key Responsibilities
Project ...
1 Opening(s)
1.0 Year(s) To 2.0 Year(s)
2.40 LPA TO 3.00 LPA
Job Summary
We are seeking a vigilant and responsible CCTV Surveillance Officer to monitor office premises during night shift hours. The role involves continuous surveillance, timely reporting of incidents, and coordination with security and management teams to ensure the safety of company assets and personnel.
Key Responsibilities
Monitor live CCTV footage of office ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
8.00 LPA TO 11.00 LPA
Role Overview:As a DevOps Engineer, you will lead and support the migration of our infrastructure toKubernetes across cloud and local environments while designing, building, and maintaining ourGoogle Cloud, Oracle Cloud, and on-premise infrastructure. You will collaborate closely withengineering, product, and QA teams to ensure reliable deployments, high availability, strongsecurity controls, ...
3 Opening(s)
4.0 Year(s) To 11.0 Year(s)
10.00 LPA TO 19.00 LPA
Job Description
We are seeking an experienced Solar PV Asset Manager to oversee the performance, operations, and lifecycle management of our solar photovoltaic (PV) assets. The role involves end-to-end management of Solar PV and Wind plants, ensuring optimum performance, compliance, and stakeholder satisfaction. The ideal candidate will have strong technical knowledge, ...
1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
10.00 LPA TO 12.00 LPA
Job Summary
We are seeking an experienced and detail-oriented Quality Assurance Manager to oversee and ensure compliance with quality standards in nutraceutical and pharmaceutical operations. The ideal candidate will be responsible for developing quality control procedures, conducting audits, ensuring regulatory compliance, and driving continuous improvement initiatives.
Key Responsibilities1. Developing and Implementing Quality ...
1 Opening(s)
8.0 Year(s) To 12.0 Year(s)
20.00 LPA TO 25.00 LPA
Key Responsibilities:● Design, build, and manage scalable cloud infrastructure using AWS.● Implement and optimize CI/CD pipelines using Jenkins and AWS CodePipeline.● Automate infrastructure provisioning and configuration using Terraform / Ansible● Manage and deploy containerized applications using Docker and Kubernetes.● Set up and maintain monitoring, logging, and alerting using tools like ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
6.00 LPA TO 12.00 LPA
Role Overview:
We are seeking a Data Management Expert with 5+ years of experience to oversee and optimize data systems . The role involves managing large datasets, ensuring data accuracy, supporting decision-making, and integrating digital solutions to improve transparency and efficiency in public services.
Key Responsibilities
Data collection from concerned departments and data ...
1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
6.00 LPA TO 7.50 LPA
About the Job
As an EHS Engineer, you will play a critical role in ensuring workplace safety and environmental compliance. You will have the opportunity to develop, implement, and monitor Environmental, Health, and Safety programs that protect our people and the planet.
Your responsibilities will include:
Ensuring compliance with local and international EHS regulations ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
8.40 LPA TO 10.80 LPA
We are seeking a highly motivated Data Analyst to join our team. The successful candidate will be responsible for collecting, analysing, and interpreting data to help drive strategic and operational decisions across the business. This role involves working closely with teams across Sales, Marketing, Finance, and Operations to deliver actionable ...
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