RapidBrains | AI/ML Engineer | delhi
6 days ago
Experience: 3+ Years
Location: Remote
Contract Duration: 6+ Months
Work Time: 9:00 AM - 6:00 PM IST
Job Description:
We are seeking a skilled AI/ML Engineer/Developer to join our innovative team This role focuses on designing, developing, and deploying machine learning solutions using AWS services , particularly SageMaker , with an emphasis on predictive analytics . You’ll work on cutting-edge projects and play a critical role in delivering scalable and efficient AI/ML solutions.
Key Responsibilities:
Develop and deploy machine learning models using AWS SageMaker .
Create end-to-end ML workflows: data preprocessing , model training , tuning , and deployment .
Build predictive models for use cases like forecasting , anomaly detection , and recommendation systems .
Integrate AI/ML models into applications, ensuring smooth performance.
Maintain CI/CD pipelines for ML models and monitor deployments.
Ensure data governance , security , and privacy best practices in AI/ML solutions.
Stay updated on the latest advancements in ML , deep learning , and AWS technologies .
Required Skills:
Strong knowledge of AWS SageMaker , AWS services (S3, EKS) .
Expertise in Machine Learning Algorithms , Predictive Analytics , and Deep Learning .
Proficient in Python with experience in TensorFlow , PyTorch , Scikit-learn .
Familiarity with Docker , Kubernetes , and data manipulation tools.
Strong analytical and problem-solving skills, with excellent collaboration and communication abilities.
Qualifications:
Bachelor’s/Master’s degree in Computer Science, AI, Statistics, or equivalent experience.
3+ years of experience in Machine Learning Engineering , with a focus on AWS SageMaker .
Experience in time series forecasting , anomaly detection , and recommendation systems .
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