AI ML Engineer/Architect - Louisville, KY (Remote)

[Sid K]

Hi Folks,

My client is looking for AI ML Engineer/Architect for a 3 Month Contract  position in Louisville, KY (Remote)

 

Position: AI ML Engineer/Architect

Location:  Louisville, KY (Remote)

Duration: 3 Month Contract

 

Key Responsibilities:

• Design and implement machine learning models for classification, regression, clustering, recommendation, NLP, or computer vision tasks.

• Collaborate with data scientists, software engineers, and product teams to integrate ML models into production systems.

• Build and maintain scalable data pipelines and model training workflows.

• Conduct experiments, evaluate model performance, and iterate to improve accuracy, efficiency, and robustness.

• Stay up to date with the latest research and advancements in AI/ML and apply them to relevant projects.

• Optimize models for performance, scalability, and interpretability.

• Document processes, models, and systems to ensure reproducibility and knowledge sharing.

 

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• 8+ years of experience in developing and deploying machine learning models and AI solutions in real-world environments.

• 5+ years of experience programming in Python, with expertise in ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.

• 5+ years of experience working with core machine learning algorithms, data structures, and statistical modeling techniques.

• 3+ years of experience using cloud platforms (AWS, GCP, Azure) for building and deploying AI/ML solutions, including familiarity with ML Ops tools (e.g., SageMaker, Vertex AI, Azure ML).

• 2+ years of experience or exposure to data engineering tools such as Apache Spark, Airflow, or Kafka (preferred but not mandatory).

• Strong problem-solving, analytical thinking, and communication skills with the ability to translate complex concepts into practical applications.

 

Preferred Qualifications:

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

• Experience with deep learning, reinforcement learning, or generative AI (e.g., GANs, LLMs).

• Contributions to open-source ML/AI projects or published academic research papers.

• Experience deploying models in real-time inference systems or on edge devices.

• Prior experience working with Health Plan applications and healthcare data architectures is a strong plus.

Thanks 
Sid