273 Job openings found

1 Opening(s)
4.0 Year(s) To 15.0 Year(s)
30.00 LPA TO 90.00 LPA
Job Role : Data Scientist Exp : 4+ Years Location: Singapore ( onsite) Qualifications: Experience with ML models is a must Proven experience as a Data Scientist, Data Analyst, or similar role, specifically in the Telecom domain or with/for a Telecom company involved in OPEX analysis. Strong knowledge of statistical analysis, data modeling, machine ...
1 Opening(s)
4.0 Year(s) To 15.0 Year(s)
30.00 LPA TO 90.00 LPA
Job Role : Data Scientist Location: Tokyo, Japan ( onsite) Exp: 4+ Years Experience with ML models is a must Proven experience as a Data Scientist, Data Analyst, or similar role, specifically in the Telecom domain or with/for a Telecom company involved in OPEX analysis. Strong knowledge of statistical analysis, data modeling, machine ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Data Scientist – Banking and Risk ManagementRole Summary:The Data Scientists will design AI/ML models for banking and risk management, driving innovation andenhancing operational efficiencies for financial institutions.Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...
1 Opening(s)
5.0 Year(s) To 6.0 Year(s)
4.00 LPA TO 6.00 LPA
Job description: Responsibilities: Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Train and optimize AI/ML models on large datasets. Evaluate and improve the performance of AI/ML models. ...
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
8.00 LPA TO 14.00 LPA
Description: Role:  AI/ML Developer Education: MCA, BE/B.Tech-IT/Computer, MSC-IT Experience: Minimum 5 years of experience   Responsibilities: Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Train and optimize AI/ML models on large datasets. Evaluate and improve the ...
2 Opening(s)
8.0 Year(s) To 25.0 Year(s)
10.00 LPA TO 25.00 LPA
Data Analytics Lead (8+ years)   Analyze and document reporting requirements Design BI report layouts, model and prepare mapping Design the semantic layer Design reporting and analytics templates Evaluate and improve existing BI Systems Prepare BI security strategy Azure data engineering Lead (8+ years) –   Participate in requirement gathering and analysis with SMEs Design and build the overall integrations for ...
3 Opening(s)
5.0 Year(s) To 10.0 Year(s)
3.00 LPA TO 6.00 LPA
Competencies Functional  Excellent fluency in English(written and verbalcommunication). Proven experience managinglarge-scale professionalprojects, ideally inmanufacturing. Highly proficient withtechnology tools such asGoogle Suite (Docs, Drive,Sheets) and Microsoft OfficeSuite, with advanced Exceland Power BI skills. Hands-on experience usingProject ManagementSoftware (e.g., MS Project,Asana, Trello, Primavera, orsimilar tools). Strong analytical skills to create Excel models and ...
1 Opening(s)
10.0 Year(s) To 12.0 Year(s)
15.00 LPA TO 15.00 LPA
Job Title: Senior Technology Business AnalystLocation: MumbaiDepartment: Information Technology / Business Analysis Role Summary: The Senior Technology Business Analyst will act as a liaison between the Asset Management business and technology teams to drive successful delivery of digital solutions and process enhancements. The individual will be responsible for gathering and analysing requirements, leading solution design, ...
2 Opening(s)
4.0 Year(s) To 8.0 Year(s)
8.00 LPA TO 14.00 LPA
Role: Senior AI/ML Developer Education: MCA, BE/B.Tech-IT/Computer, MSC-IT Experience: Minimum 3 years of experience   Responsibilities: Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Train and optimize AI/ML models on large datasets. Evaluate and improve ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
7.00 LPA TO 12.00 LPA
Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand and translate business needs into technical requirements. Research and explore new AI/ML techniques and technologies. Train and optimize AI/ML models on large datasets. Evaluate and improve the performance of AI/ML models. Collect, clean, and preprocess data from various sources to ...

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