119 Job openings found

1 Opening(s)
1.0 Year(s) To 2.0 Year(s)
2.40 LPA TO 3.00 LPA
Key Responsibilities  Assist in extracting, cleaning, and analyzing datasets using SQL and Python.  Develop and maintain dashboards and reports using Power BI, Looker Studio, or other BI tools.  Support the team in data validation, quality checks, and troubleshooting.  Collaborate with senior data analysts and business teams ...
1 Opening(s)
1.0 Year(s) To 6.0 Year(s)
2.00 LPA TO 4.00 LPA
At Vulcan Packaging LLP, we are looking for a production supervisor to organize and oversee themanufacturing of Tin cans and drums. You will be responsible for the smooth running of theproduction line and the quality of output.Ability to direct personnel towards maximum performance will set you apart as a leader. ...
1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
Executive / Sr.Executive (Accounts & Finacne)Education : B.com, M.com or othersExperience : 5 Years above in Industrial SectorSalary : Best in industrial NormsLocation : Padra(Vadodara)KRA : • Analytical Thinking. Analytical thinking is a crucial skill for finance professionals. • Accounting Skills. ...• Business Intelligence. ...• Financial Modelling. ...• Financial Reporting. ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
3.00 LPA TO 4.00 LPA
Job Title: Data Mining Executive / Data Mining Analyst Department: IT / Analytics / Business Intelligence Reporting To: Data Analyst / Manager – Analytics Job Summary The Data Mining Executive is responsible for collecting, cleaning, analyzing, and interpreting large datasets to identify patterns, trends, and insights that support business decision-making. The role involves transforming ...
3 Opening(s)
8.0 Year(s) To 10.0 Year(s)
15.00 LPA TO 27.00 LPA
We are hiring an AI Engineer – Expert to provide technical leadership across enterprise-grade AI / ML / RPA programs. The role will act as the architectural authority, ensuring best-in-class solution design, implementation excellence, and robust governance across all AI deployments.   Key Responsibilities Provide technical leadership and expert guidance across AI / ML / RPA solution ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
15.00 LPA TO 24.00 LPA
Role Overview We are seeking a high-calibre AI Engineer – Lead to spearhead end-to-end design, deployment, and lifecycle management of AI/ML solutions. The role is critical to driving automation, predictive analytics, and data-driven intelligence across business use cases, ensuring scalable and compliant AI deployments. Key Responsibilities Design, develop, and deploy AI/ML models aligned to defined business use ...
3 Opening(s)
1.0 Year(s) To 8.0 Year(s)
10.00 LPA TO 30.00 LPA
About the RoleThe Senior Model Risk Analyst in the Market Risk function under the Risk business unit is responsible for assessing and validating quantitative models used across Treasury, Wholesale, and Retail functions. These models, which support internal decision-making and product disbursement, are governed by the bank’s Model Risk Management framework. ...
1 Opening(s)
1.0 Year(s) To 2.0 Year(s)
2.00 LPA TO 2.40 LPA
Job Title: Data Analyst – Location: Odhav, AhmedabadExperience: 06–3 years (or as per requirement)Salary: 15k to 25k Job Summary: We are looking for a detail-oriented Data Analyst to manage and analyze eCommerce product data. The candidate will track product exports, sales performance, stock levels, and trends across regions, helping the management make ...
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 7.0 Year(s)
15.00 LPA TO 30.00 LPA
Key Responsibilities: - 1. Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. 2. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. 3. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems ...

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