AI/ML Engineer - Raas Infotek LLC - Hybrid in Chicago, IL, US | Dice.com

Raas Infotek LLC

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AI/ML Engineer

Hybrid in Chicago, IL, US • Posted 18 hours ago • Updated 18 hours ago

Contract W2

25% Travel Required

Hybrid

Depends on Experience

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Job Details

Skills

Algorithms
Apache Kafka
Amazon Web Services
Apache Spark
Artificial Intelligence
Cloud Computing
Computer Vision
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Engineering
Data Science
Data Structure
Deep Learning
Docker
Machine Learning (ML)
Kubernetes
Machine Learning Operations (ML Ops)
Microsoft Azure
PyTorch
Python
Software Engineering
TensorFlow
scikit-learn
Statistics
NLP
GCP
Open Source

Summary

Job Title: AI/ML Engineer

Location: Chicago, IL (Hybrid)

Contract: W2 Only

Duration: 12+ Months

Job Summary:

We are looking for a talented and driven AI/ML Engineer to join our data science and engineering team. The ideal candidate will have hands-on experience in designing, developing, and deploying machine learning models and AI solutions to solve real-world business problems. You will work closely with data scientists, software engineers, and product teams to build intelligent systems that drive innovation and efficiency.

Key Responsibilities:

Design, develop, and deploy machine learning models and AI algorithms for various applications.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Perform data preprocessing, feature engineering, and model evaluation.
Implement scalable ML pipelines using tools like TensorFlow, PyTorch, Scikit-learn, or MLflow.
Optimize models for performance, accuracy, and efficiency.
Integrate ML models into production systems using APIs and cloud platforms.
Monitor model performance and retrain as needed.
Stay updated with the latest research and advancements in AI/ML.

Required Skills & Qualifications:

12+ years of Software Engineering experience, with 5-6 years focused on machine learning, deep learning, or AI development.
Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong understanding of data structures, algorithms, and statistics.
Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and ML services.
Familiarity with data engineering tools (Spark, Airflow, Kafka) is a plus.
Excellent problem-solving and communication skills.
Experience with NLP, computer vision, or reinforcement learning.
Knowledge of MLOps practices and tools.
Publications or contributions to open-source AI/ML projects.
Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.

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: 10477291
Position Id: 8807366
Posted 18 hours ago

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