1 Opening(s)
5.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Experience Range: 5 to 12 yrs (min 4 years relevant)
Responsibilities:
Enable Model tracking, model experimentation, Model automation
Develop ML pipelines to support
Develop MLOps components in Machine learning development life cycle using
Model Repository (either of): MLFlow, Kubeflow Model Registry
Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS.
Work ...
10 Opening(s)
0 To 10.0 Year(s)
1.00 LPA TO 20.00 LPA
Chemical Engineer with vast experience as process technologist in petrochemical/ chemical/pharmaceuticals process in R&D.
• Possess proven R&D skills for various chemical / polymer process technology development / transfer technology.
Core Skills:
• Experience in setting up laboratories and experimental set ups for high temperature high pressure gas-liquid-solid catalyzed reactions, laboratory and ...
1 Opening(s)
4.0 Year(s) To 8.0 Year(s)
25.00 LPA TO 35.00 LPA
Experience in Credit risk modelling is a must.
Banking / Insurance / Financial Domain
Candidates from anywhere in India but ready to work in KSA Location (Saudi Arabia.
Key Responsibilities:
1) Solve analytically complex client problems in the Risk domain like developing CreditRisk Scoring Models for clients in the financial sector.2) Lead modeling workstream ...
3 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Roles and Responsibilities
Preforming Risk Analytics activities to develop models and support the bank on various analytical initiatives
Assist in modeling key risk estimates PD, LGD and EAD for AIRB and IFRS9 framework
Regularly engage in model development, validation, and re-development activities
Other risk analytics activities include assisting in review and re-development of Macro-Economic ...
6 Opening(s)
2.0 Year(s) To 12.0 Year(s)
10.00 LPA TO 25.00 LPA
Credit Risk Analytics and Modelling – Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations.
Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards – in particular for PD, LGD, EAD and related Credit Risk metrics - using ...
1 Opening(s)
4.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Responsibility:
Powertrain vehicle function concept development based on function benchmarking. New vehicle function model development & validation. Final spec development after detail DFMEA & Design reviews.
Technical Competencies:
Perform requirement engineering and function development of function such powertrain vehicle function and CNG software in ECU.
Perform function benchmarking suing actual vehicle and literature study.
Prepare ...
2 Opening(s)
6.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 32.00 LPA
Required Skillset:
6-10 years of experience in Risk Management with consulting firms or Banks and other Financial Services
Certifications like CFA, FRM, CQF
Proficiency in MS Excel and PowerPoint
Excellent knowledge of AI/ML techniques, including Python, R, and other relevant tools
Strong communication skills (oral, written, and email drafting skills)
Good organizational, analytical, problem-solving, and project ...
2 Opening(s)
5.0 Year(s) To 7.0 Year(s)
8.00 LPA TO 16.00 LPA
Responsibilities:
ML model development.
Graph Analytics.
Data/Semantic modeling.
Graph databases.
Research and develop statistical learning models for data analysis.
Collaborate with product management and engineering departments to understand company needs and devise possible solutions.
Keep up-to-date with the latest technology trends.
Communicate results and ideas to key decision makers.
Implement new statistical or other mathematical methodologies as needed for ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 18.00 LPA
Responsibilities:
Production pipeline development/deployment.
DevOps tools.
Automation/Orchestration.
Release management.
Model Testing.
Environment Security.
Performance Testing.
Data governance.
Design the data pipelines and engineering infrastructure
Take offline models data scientists to build and turn them into a real machine learning production system.
Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our client's machine learning systems.
Apply software engineering ...
1 Opening(s)
15.0 Year(s) To 25.0 Year(s)
20.00 LPA TO 45.00 LPA
Head of Centre of Excellence (AI and Automation) / General Manager – Business Transformation
Are you a visionary leader with a passion for harnessing the power of AI and Automation? Do you dream of building a world-class Centre of Excellence (COE) that pushes the boundaries of what's possible?
If so, then this ...