1 Opening(s)
7.0 Year(s) To 8.0 Year(s)
7.00 LPA TO 8.00 LPA
Job Description
Key Responsibilities
Credit analyst evaluates the creditworthiness for new customers onboarded
Analyze financial data and reports to determine customers’ ability to repay, assist controllers for decisions and managing credit risk.
The duties of Credit Analyst include reviewing sales orders on hold and sending reminders via email to the collections team.
Providing sales team with ...
1 Opening(s)
4.0 Year(s) To 8.0 Year(s)
6.00 LPA TO 9.00 LPA
Hope you are doing well !!
Position: Unit ManagerLocation: PuneCTC: Best in Industry
Job Description:
- Credit Assessment for commercial lending customers in a very fast growing division of Bajaj Finance Limited.- Preparation of proprietary models with historical financial analysis and projections over the loan tenor.- Will look at client's across Pune.- Will assist senior ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 40.00 LPA
About the Job
The expectation and primary accountability of the position in the Compliance Department is to monitor, understand, interpret and guide business teams regarding new regulations emanating from financial services and capital market regulators (such as SEBI, NPCI, NSDL, CDSL etc.).
To monitor new regulations as and when they arise, and ...
1 Opening(s)
0 To 1.0 Year(s)
1.80 LPA TO 2.40 LPA
Job Description ROLES AND RESPONSIBILITIES: Should have good customer interaction skills. Should have proper co-ordination with customers to successfully close the sale. Responsible for achieving sales collection plans. Determine business targets, monitoring the actual performances. Concentrating on existing customers to increase business volume. DESIRED CANDIDATES PROFILE: Excellent communication skills. Should ...
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
1 Opening(s)
4.0 Year(s) To 10.0 Year(s)
5.00 LPA TO 8.00 LPA
Key Responsibilities
Operation & Monitoring
Operate and monitor boilers, chillers, cooling towers, air compressors, water treatment systems, and other utility equipment.
Record and analyze operating parameters to ensure optimal efficiency and reliability.
Respond to alarms, troubleshoot issues, and take corrective actions to avoid downtime.
Maintenance
Perform preventive and corrective maintenance on utility systems and equipment.
Assist in ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
7.00 LPA TO 8.00 LPA
A manager for a food processing facility (also known as a Production Manager or Plant Manager) oversees the entire production process, including managing staff, coordinating production schedules, ensuring compliance with safety and quality standards, and maintaining equipment. Key responsibilities involve optimizing production, managing budgets, maintaining supply chain logistics, and collaborating with other departments. This ...
1 Opening(s)
9.0 Year(s) To 15.0 Year(s)
4.00 LPA TO 6.00 LPA
An Assistant Manager supports higher management by overseeing daily operations, supervising and motivating staff, managing schedules and inventory, ensuring customer satisfaction, and implementing company policies and procedures. Key skills for the role include strong leadership, excellent communication, problem-solving, and the ability to multitask in a fast-paced environment. Duties are industry-specific but often involve ...
1 Opening(s)
8.0 Year(s) To 12.0 Year(s)
8.00 LPA TO 10.00 LPA
An Expeller Manager oversees the operation and efficiency of expeller machines, crucial in the edible oil industry for extracting oil from seeds, managing daily production, coordinating with various teams like Quality Control and Maintenance, ensuring adherence to safety and quality standards, and supervising personnel. Key responsibilities include monitoring expeller performance, managing ...