AWS SageMaker Developer

3 weeks ago


Remote, IN MindTrilogy IT Solutions Pvt. Ltd Full time

About the Role :

We are seeking experienced AWS SageMaker Developers to join our team and build cutting-edge machine learning solutions.

You will be responsible for designing, developing, and deploying ML models on the AWS platform.

Responsibilities :

- Develop and deploy machine learning models using Amazon SageMaker.

- Optimize model performance and efficiency on the AWS cloud.

- Build and manage ML pipelines for data ingestion, preprocessing, training, and deployment.

- Leverage AWS services (EMR, Kubernetes) for distributed computing and model serving.

- Collaborate with data scientists and engineers to bring ML models to production.

- Implement MLOps best practices for model monitoring, retraining, and deployment.

- Utilize large language models (LLMs) to enhance application capabilities.

Required Skills and Experience :

- 4+ years of experience in machine learning and data science.

- Strong proficiency in AWS SageMaker and its components.

- Experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

- Knowledge of distributed computing frameworks (Spark, Hadoop).

- Understanding of ML model development lifecycle and MLOps practices.

- Experience with AWS services (EC2, S3, RDS, Lambda).

- Strong problem-solving and analytical skills.

- Excellent communication and collaboration skills.

Preferred Skills :

- Experience with deep learning frameworks (TensorFlow, PyTorch).

- Knowledge of natural language processing (NLP) and computer vision.

- Experience with AWS certifications (Machine Learning Specialty)

(ref:hirist.tech)
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