2 Opening(s)
8.0 Year(s) To 15.0 Year(s)
7.00 LPA TO 12.00 LPA
Role: Project ManagerJob Location: Office & Site LocationHead Office: Marine Drive, South MumbaiOperational Office: Kanjurmarg, Central MumbaiWho are we?Design First delivers personalized luxury interior and furniture design to India’s discerninghomeowners and corporates. Led by prolific, seasoned luxury brand builders, internationallytrained designers, world-class professionals and passionate, steadfast teams of turnkeyproject execution ...
3 Opening(s)
10.0 Year(s) To 20.0 Year(s)
11.00 LPA TO 20.00 LPA
Role: Senior Interior DesignerJob Location: Marine DriveHead Office: Marine Drive, South MumbaiOperational Office: Kanjurmarg, Central MumbaiWho are we?Design First delivers personalized luxury interior and furniture design to India’s discerninghomeowners and corporates. Led by prolific, seasoned luxury brand builders, internationallytrained designers, world-class professionals and passionate, steadfast teams of turnkeyproject execution specialists. ...
1 Opening(s)
15.0 Year(s) To 20.0 Year(s)
35.00 LPA TO 40.00 LPA
Standardization and Process Implementation:Establishing and maintaining project management best practices and procedures for the renewable energy projects.
Project Oversight and Governance:Providing governance and oversight for various projects, from wind farm development to substation construction and transmission lines.
Resource Management:Managing the resources allocated to projects to ensure their successful and cost-effective delivery.
Reporting and ...
1 Opening(s)
6.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Hi
Position - Civil Execution Engineer
Location- Dahej,Gujarat
Key Responsibilities:
Role Objective:
Responsible for overseeing and ensuring timely, safe, and quality execution of all civil and structural works at site as per approved drawings, technical specifications, and project schedule. Acts as Piramal’s representative at site to coordinate with contractors, consultants, and internal stakeholders for ...
1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
"Project Management Skills: Proficiency in Agile, Scrum, Kanban, and/or Waterfall methodologies. Strong ability to manage multiple projects simultaneously. Resolving conflicts within cross-functional teams effectively Ability to prioritize tasks based on business impact and technical feasibility Translating technical concepts into business terms for stakeholders. Ensuring clear documentation for all phases of ...
1 Opening(s)
8.0 Year(s) To 9.0 Year(s)
Not Disclosed by Recruiter
Location: USI – Mumbai, Delhi-NCR, Pune, Hyderabad, Bengaluru, ChennaiWork Mode: HybridExperience Required: 8+ yearsRole OverviewWe are seeking an experienced Oracle Fusion Cloud Functional Consultant specializing inBenefits to join our team. The ideal candidate will bring deep expertise in Oracle CloudBenefits, with a strong understanding of configuration, integration points, and payroll-related ...
2 Opening(s)
2.0 Year(s) To 8.0 Year(s)
3.00 LPA TO 8.00 LPA
Manage and maintain the organization's overall IT infrastructure, including firewalls and networks.
Monitor network performance, availability, and security to ensure SLA compliance with internal and external stakeholders.
Install, configure, and troubleshoot network systems, hardware, and security tools.
Administer Fortinet, Cisco, and Sophos firewall devices.
Implement best practices for network security and perform regular risk ...
1 Opening(s)
1.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
Roles & Responsibilities
Meet or exceed monthly / quarterly / annual sales targets for construction chemicals products (e.g. waterproofing, tile adhesives, sealants, concrete admixtures, protective coatings, etc.).
Identify, pursue, and close new project opportunities in the building, infrastructure, residential, commercial project sectors.
Develop and maintain relationships with key stakeholders: contractors, builders, architects, consultants, ...
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.
○ ...
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