What are the responsibilities and job description for the AI Engineer with AWS Experience (final round in person) position at Marici Solutions?
Job Title: AI Engineer (AWS Experience)
Location: King of Prussia, PA (Onsite/Hybrid)
Duration: Long-Term Contract
Final round in person
Job Summary:
We are seeking a highly skilled AI Engineer with strong AWS experience to design, develop, and deploy scalable artificial intelligence and machine learning solutions. The ideal candidate will have hands-on experience with cloud-based AI services, data pipelines, and model deployment within AWS environments.
Key Responsibilities:
- Design, build, and deploy AI/ML models to solve complex business problems
- Develop and maintain scalable data pipelines and workflows on AWS
- Utilize AWS services such as SageMaker, Lambda, S3, EC2, and Glue for AI solution development
- Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions
- Optimize and fine-tune machine learning models for performance, scalability, and cost-efficiency
- Implement MLOps practices including CI/CD pipelines, monitoring, and model versioning
- Work with large datasets, ensuring data quality, governance, and security
- Integrate AI models into production systems and APIs
- Stay updated with the latest advancements in AI/ML and cloud technologies
Required Qualifications:
- Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or related field
- 5 years of experience in AI/ML development and deployment
- Strong hands-on experience with AWS cloud services (SageMaker, S3, EC2, Lambda, Glue, IAM)
- Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn
- Experience with data processing tools like Pandas, NumPy, and Spark
- Solid understanding of machine learning algorithms, deep learning, and NLP concepts
- Experience with REST APIs and microservices architecture
- Knowledge of containerization tools like Docker and orchestration using Kubernetes
- Familiarity with CI/CD tools and MLOps frameworks
Preferred Qualifications:
- AWS Certified Machine Learning Specialty or related certifications
- Experience with big data technologies (Hadoop, Spark)
- Knowledge of data visualization tools such as Tableau or Power BI
- Experience with NLP, computer vision, or generative AI models
- Exposure to real-time data streaming (Kafka, Kinesis)