1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
6.00 LPA TO 12.00 LPA
Job Description: Software Developer (AI/ML) Location: Noida Experience: 2-5 years Industry: Technology Qualification: BCA, B.Tech, or relevant diploma in Computer Science, IT, or related fields
Position Overview: We are seeking a skilled and motivated Software Developer with a strong foundation in Artificial Intelligence (AI) and Machine Learning (ML) technologies. The ideal ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
Not Disclosed by Recruiter
Job Overview:
Seeking a Senior AI/ML Engineer to lead a team in developing and deploying AI/ML models and solutions, driving impactful AI initiatives.
Responsibilities:
Lead and mentor a multidisciplinary team.
Guide AI/ML project execution.
Collaborate with product teams to define requirements.
Stay updated with AI/ML trends.
Design scalable AI/ML algorithms and pipelines.
Validate AI/ML solutions with proof of ...
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
Augrade is changing the way people design & construct Houses, Cars & ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
2.40 LPA TO 3.60 LPA
Job Summary: As an AI Specialist, you will be responsible for developing, implementing, and maintaining artificial intelligence solutions to solve complex business problems. You will collaborate with cross-functional teams to identify opportunities for AI integration, design algorithms, and deploy AI models that enhance efficiency, accuracy, and innovation within the organization. ...
1 Opening(s)
7.0 Year(s) To 20.0 Year(s)
30.00 LPA TO 40.00 LPA
Lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems. ● Oversee the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment. ● Utilize AWS SageMaker to build, train, and deploy machine learning models. ● Leverage AWS Bedrock to develop ...