1 Opening(s)
4.0 Year(s) To 5.0 Year(s)
13.00 LPA TO 15.00 LPA
Minimum experience : 5 years.
Candidates are preferred with exposure on Cargoes Customs domain (Good to have). • Being proficient in inventing processes or systems needed to implement changes.• Strong communication and interpersonal skills to interact with different clients and stakeholders.• Sound knowledge and expertise in evaluating the implications of changes.• Competence in writing reports and making ...
1 Opening(s)
3.0 Year(s) To 4.0 Year(s)
4.00 LPA TO 5.00 LPA
Job Overview:
We are seeking a detail-oriented Accounts Executive with 3–4 years of experience in an NBFC (Non-Banking Financial Company) environment. The ideal candidate will have strong knowledge of Tally accounting entries, GST (including reverse charge & reconciliation), TDS (rates & deduction tracking), and MIS reporting.
Key Responsibilities:
Accounting (Tally):
Record day-to-day financial transactions ...
1 Opening(s)
5.0 Year(s) To 6.0 Year(s)
4.80 LPA TO 6.00 LPA
An operator for SID (Sponge Iron Division) Mechanical would be responsible for operating heavy machinery, specifically a remote-controlled demolition robot like those manufactured by Brokk. The operator would work within the mechanical maintenance and operations division of a steel or sponge iron plant.
Key duties and responsibilities
Machine operation: Safely and efficiently operate ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
2.00 LPA TO 3.50 LPA
? Should be a commerce graduate with first class? Any professional qualification like PGDMM/MM and other relevant will be an addedadvantage? Well versed with entire material movement cycle from PR to Consumption? Should be direct employee of his present organization? Ability to supervise, optimize and control resources? Having basic technical ...
1 Opening(s)
5.0 Year(s) To 6.0 Year(s)
3.60 LPA TO 4.20 LPA
He should also be ready for travelling.
A Liaison Person (or Officer) serves as a primary point of contact and facilitator between two or more organizations, departments, or individuals to coordinate activities, foster collaboration, and ensure effective communication. Key responsibilities include establishing and maintaining relationships with external parties, representing the organization at ...
1 Opening(s)
6.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 20.00 LPA
JD for Dy. Manager -Human Resources – Employee Engagement and Culture BuildingJob Title: Dy. Manager - HR Department: Human ResourceReports to: AVP- HRRequired Qualification: Master’s degree inHuman Resources / MBA (HR) or equivalent
Experience: 6-8 years of relevant HR experience with proven exposure to employee engagement and culture building programmes.
Experience in driving employee survey action plans ...
2 Opening(s)
13.0 Year(s) To 16.0 Year(s)
20.00 LPA TO 20.00 LPA
Business Solar business
1) Job Purpose: Write the purpose for which the job exists
The Solar Power Plant Manager is responsible for maximizing revenue generation and minimizing operational losses and costs by overseeing efficient Operation & Maintenance and Asset Management ofthe Solar power plant. This role ensures regulatory compliance and smooth coordination with ...
1 Opening(s)
5.0 Year(s) To 12.0 Year(s)
6.00 LPA TO 10.00 LPA
Role: Client Relationship ExecutiveJob 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, internationally traineddesigners, world-class professionals and passionate, steadfast teams of turnkey project executionspecialists. ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
3.00 LPA TO 4.20 LPA
The Sr. Engineer / Engineer is responsible for planning, designing, developing, and overseeing engineering projects and operations. This role involves analyzing technical requirements, ensuring compliance with standards, optimizing processes, and collaborating with cross-functional teams to deliver high-quality solutions on time and within budget.
Key Responsibilities:
Develop, review, and execute engineering designs, plans, ...
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