40 Job openings found

1 Opening(s)
7.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Role Overview:We are seeking a passionate and hands-on Gen AI Lead who is deeply experienced in the latestdevelopments in Generative AI (including LLMs, RAG, LoRA, QLoRA, etc.), with a strong foundationin Computer Vision, Image Processing, and Video Analytics. This individual will play a pivotal role indesigning, architecting, and deploying full-stack ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
5.00 LPA TO 20.00 LPA
About the role: We are seeking a machine learning engineer who will be working on business problems to drive value for the customers by bringing the best AI to the industry.   Once you're here, you'll help to make important strategic decisions that influence the direction of the company. More Specifically: Work with ...
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)
6.0 Year(s) To 14.0 Year(s)
Not Disclosed by Recruiter
Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 3.5 - 7 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
7.00 LPA TO 34.00 LPA
Data Scientist – Banking and Risk Management Role Summary: The Data Scientists will design AI/ML models for banking and risk management, driving innovation and enhancing 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)
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. ...
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)
3.0 Year(s) To 8.0 Year(s)
20.00 LPA TO 30.00 LPA
Who we are We’re a team of engineers working aggressively & passionately to solve the hard problems. We are focussed on revolutionising how the traditional BIM/3D design/engineering/construction process works & enable people building the future, build it faster.   About the role A pioneering company is changing the way people design & construct Houses, ...
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)   Required Qualifications:     2+ years of machine learning and data science experience   3+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow    2+ years leading projects with solid technical communication skills, including demonstrated technical ...

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