1 Opening(s)
6.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Job Title: HR Executive / Sr. Executive – HR Generalist
Location: Vadodara
Experience: 6 to 8 years
Qualification: Master’s Degree with specialization in Human Resources
Working Days: 5 days a week
Job Summary
We are seeking a proactive and experienced HR professional to join our Corporate HR team. The role involves comprehensive HR Generalist responsibilities with ...
1 Opening(s)
7.0 Year(s) To 10.0 Year(s)
7.00 LPA TO 9.00 LPA
Job Title: Corporate Trainer – Office Productivity & Digital ToolsLocation: Delhi - NCREmployment Type: Full-TimeCTC budget: INR 7-9 Lakh
Job Summary:We are seeking a highly experienced and dynamic Corporate Trainer with a minimum of 7 years of proven expertise in delivering impactful training programs across corporate environments. The ideal candidate will ...
4 Opening(s)
5.0 Year(s) To 15.0 Year(s)
8.00 LPA TO 16.00 LPA
Business Development:• Build enduring relationships with B2B partners, such as architects and interior designers.• Develop a continuous lead funnel through business development activities.• Liaise with B2B partners to close deals.Ownership of Leads Until Closure:• Engage with HNI and UHNI clients (prospective and existing), understand their requirements,suggest the right natural stones ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
6.00 LPA TO 7.00 LPA
Job title:Quality Assurance Chemist
Name of job holder:
Department/service:QA/QC
Signature job holder & date:
Signature hierarchical head & date:Manager - QA
Signature functional head & date:Head - QM
A. Purpose /Role of the job /: Describe in 1 phrase what contribution the job is expected toMake to the organisation’s objectives Quality Assurance of Finished Goods (SAN/ABS/ASA/PS) ...
1 Opening(s)
1.0 Year(s) To 4.0 Year(s)
3.00 LPA TO 4.00 LPA
Job Location - Residency road
Industry Retail
RECRUITMENT
Responsible for end-to-end recruitment process asper the budget plan. Source candidates from various web portals Coordinate and implement college recruitment,job fairs etc and other initiatives of sourcingcandidates. Coordinate with various recruitment agencies and source candidates Screen of the right candidates Coordinating interviews with the ...
1 Opening(s)
15.0 Year(s) To 20.0 Year(s)
22.00 LPA TO 25.00 LPA
Job title:Production Manager, Nandesari
Name of job holder:
Department/service:Operations / Manufacturing
Signature job holder & date:
Signature hierarchical head & date:Plant Manager – Nandesari
Signature functional head & date:Director – Manufacturing, India
A. Purpose /Role of the job /: Describe in 1 phrase what contribution the job is expected tomake to the organisation’s objectivesLead the team ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
6.00 LPA TO 10.00 LPA
About the Role
We are seeking a highly experienced Senior Python Backend Engineer to design, build, and scale backend services for our global art information platform. In this role, you will work on integrating advanced AI/ML models into production systems, powering features such as recommendations, personalization, and intelligent search.
This position is ...
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 ...
1 Opening(s)
8.0 Year(s) To 12.0 Year(s)
25.00 LPA TO 26.00 LPA
Job Description
Responsible for creating the employee capability and talent management roadmap for the organization focusing on leadership and behavioral aspects by creating a segmented approach by band, channel and potential. Also, responsible for driving the employee engagement initiative and deploying an effective internal communication framework. Role is to also look ...
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