AI Engineer with AWS Experience (final round in person)

Hybrid in King of Prussia, PA, US • Posted 15 hours ago • Updated 15 hours ago
Contract Independent
Contract W2
Hybrid
Depends on Experience
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Job Details

Skills

  • AWS

Summary

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)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91138214
  • Position Id: 8949894
  • Posted 15 hours ago

Company Info

About Marici Solutions

MARICI Solutions is a global business consulting organization, where inspired & visionary people with a shared passion for innovation come together to make a difference. We take a holistic approach from various perspectives to deliver measurable results along the entire value chain. We work closely with our clients and provide distinct advantages to sustainably transform their business processes, which eventually grow their businesses.

Driven by the passion of offering state of the art, customized and high-quality information technology services, our experts from Germany & India came together in 2017 and formed MARICI Solutions GmbH. The company is registered in Germany & India and well funded for long term sustenance. The team at MARCI comprises of experts from various industry sectors who have more than a decade of diverse & international consulting experience. MARICI is expanding its business across multiple continents and has secured various projects from some of the eminent market giants.

We believe that Excellence, Collaboration, Commitment and Innovation are foundations for success.

By Collaborating with our stakeholders, we identify opportunities for growth and Innovation. Ongoing innovation results from a combination of strategy, processes, systems, and culture. Through our Commitment to Excellence, we accomplish complex assignments and inspire people to do great things together. 

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