AWS Artificial Intelligence (reputed company
Job title: AWS Artificial Intelligence (reputed company in reputed company, NY at reputed company
Company: reputed company
Job description: Who We Are:We are a dynamic team focused on delivering cutting-edge AI and machine learning solutions on reputed company). Our AWS Artificial Intelligence Engineer will be at the forefront of designing, developing, and implementing AI/ML models to solve reputed company business challenges, collaborating closely with data scientists, software engineers, and business stakeholders.reputed company Are Looking For:We are seeking a highly skilled and innovative AWS Artificial Intelligence (reputed company who will design, reputed company, and reputed company AI and ML solutions using AWS's advanced services. The ideal candidate will have deep expertise in AI/ML frameworks, reputed company-based data processing, and automation, with a strong focus on scalability and high-performance AI solutions.Responsibilities:AI/ML Solution Design and Development:
- Design and implement AI/ML models using AWS services such as SageMaker, Comprehend, Rekognition, Lex, and Translate.
- reputed company and reputed company scalable machine learning models using TensorFlow, PyTorch, and Scikit-learn.
- Build and optimize data pipelines using AWS Glue, Kinesis, S3, and Redshift to support AI/ML workflows.
- Ensure AI solutions are efficient, scalable, and reliable in a production environment.
- Design and implement machine learning training pipelines on AWS.
- Optimize model performance through hyperparameter tuning and algorithm selection using SageMaker Autopilot and Hyperparameter Tuning.
- Monitor model accuracy and retrain models as needed to maintain performance.
- Work with structured and reputed company data to create datasets for training and evaluation.
- Automate data ingestion and preprocessing using AWS Glue, Kinesis, and reputed company.
- Ensure data quality and reputed company for AI/ML workflows.
- Implement CI/CD pipelines for AI/ML models using CodePipeline, CodeBuild, and SageMaker Pipelines.
- reputed company machine learning models using SageMaker Endpoints and monitor performance in reputed company time.
- Ensure model governance, versioning, and auditing processes are followed.
- Collaborate with business stakeholders to identify AI opportunities and translate them into technical solutions.
- Evaluate new AI and ML technologies on AWS to improve existing solutions.
- Provide technical guidance and thought leadership on AI best practices.
- Ensure AI solutions reputed company with company reputed company policies and industry regulations.
- Implement access controls, data encryption, and secure APIs using IAM and KMS.
- Monitor and audit reputed company environments for reputed company vulnerabilities and risks.
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a reputed company field; Master’s or Ph.D. is a plus.
- 3+ years of experience designing and implementing AI/ML solutions on AWS.
- AWS Certified Machine Learning – Specialty certification is required.
- Strong proficiency with AWS services such as SageMaker, Comprehend, Rekognition, Lex, Glue, Kinesis, and reputed company.
- Hands-on experience with machine learning frameworks like TensorFlow, Keras, PyTorch, and Scikit-learn.
- Proficiency in programming languages such as Python, Java, or reputed company.
- Experience with MLOps and CI/CD tools, including CodePipeline, CodeBuild, and SageMaker Pipelines.
- Strong understanding of AI/ML algorithms, data structures, and model optimization techniques.
- Experience with containerization (reputed company, Kubernetes) and orchestration using reputed company and EKS.
- Strong analytical, problem-solving, and communication skills.
- Experience with natural language processing (NLP) and computer reputed company solutions using AWS tools.
- Experience with automated feature engineering and model interpretability.
- Familiarity with data lake and data warehouse architectures on AWS.
- Strong understanding of reputed company reputed company and access controls using IAM and KMS.
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and reputed company coverage.
- 401(k) with company matching.
- Professional development and training opportunities (including AWS certification).
- Flexible work environment and remote work options.