20 Job openings found

2 Opening(s)
4.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
SKILL TITLEData Scientist KEY SKILLS ( MANDATORY)Machine Learning, Data Science, Scikit - learn , Python, tensor flow, pyspark . Hands on exp mandatory on python and tensor flow as mandatory JOB DESCRIPTION (DETAILED)Machine Learning, Data Science, Scikit - learn , Python, tensor flow, pyspark . Hands on exp mandatory on python and ...
1 Opening(s)
6.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Mandatory Skills: Champion the entire ML lifecycle, from data exploration and feature engineering to model selection, training, evaluation, deployment, and maintenance. Experience in developing application using LLM models, Generative AI Experience in using RAG, Fine Tuning LLM models (Llama, Gemma etc) Knowledge of Python, R,  or other AI/ML tools Knowledge AI/ML libraries frameworks like Langchain, Transformers, ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
10.00 LPA TO 12.00 LPA
About Augrade:At Augrade, our mission is to make AR/VR more accessible & adaptable to how we live, work & play.We"re a wearable tech startup working on AR glasses for B2B industry starting with a niche focus on Architects & interior designers. We enable them to ideate, design & present their ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
10.00 LPA TO 18.00 LPA
About the role You will join a team of talented and friendly Data Scientists in Machine Learning Operation (MLOPs) and AI (Artificial Intelligence) as a Data Science Squad member. Team develops state-of-the-art Machine Learning-powered services for automated Supply Chain optimisation, Pricing strategy improvements, and Service Lifecycle Management including Generative AI-powered Knowledge management ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
9.00 LPA TO 25.00 LPA
Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement ...
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)
3.0 Year(s) To 5.0 Year(s)
14.00 LPA TO 15.00 LPA
Role Overview In this role, you will leverage your strong data analysis and modeling skills to build dataproducts that offer our clients valuable insights into their performance and the competitivelandscape. You will work with diverse 1st and 3rd party data sources-including email receiptdata, clickstream data, web scraped data, and more-to develop ...
1 Opening(s)
8.0 Year(s) To 14.0 Year(s)
Not Disclosed by Recruiter
Designation: Machine Learning Engineer Years of Experience : 8 to 14 Years Location - Remote Role Summary: We are seeking a Machine Learning Engineer (MLE) contractor who will play a critical role in developing and implementing machine learning solutions that drive innovation and efficiency across our projects. The ideal candidate will possess a strong ...
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
BASIC PURPOSE: The primary responsibilities of the AWS Machine Learning Engineer are to design, develop and deploy Machine learning models using AI/ML technologies within the AWS framework. This role will collaborate closely with the product and software development teams to operationalize these ML solutions for automating key business processes across the ...

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