Job Title: AI/ML Engineer
Location: St. Louis, MO/Belleville, IL/Paducah, KY/Evansville, IN/Charlotte, NC
Can do Only W2, No C2C
Job Summary:
- We are seeking an experienced AI / ML Engineer to design, develop, and deploy advanced Artificial Intelligence and Machine Learning solutions.
- The ideal candidate should possess strong expertise in machine learning algorithms, model development, data processing, and AI frameworks.
- This role involves building scalable AI applications, optimizing models, and collaborating with cross-functional teams to deliver innovative solutions.
Key Responsibilities:
- Design, develop, and deploy AI and Machine Learning solutions.
- Build and optimize predictive and analytical models.
- Develop data pipelines and preprocess structured and unstructured datasets.
- Train, evaluate, and fine-tune machine learning models.
- Implement deep learning and natural language processing solutions where applicable.
- Integrate AI models into enterprise applications and production environments.
- Collaborate with data engineers, software developers, and business stakeholders.
- Perform model validation, testing, and performance optimization.
- Monitor deployed models and improve accuracy and efficiency.
- Document technical solutions and maintain best practices throughout the development lifecycle.
Required Skills:
- Strong experience in Artificial Intelligence (AI) and Machine Learning (ML).
- Experience with machine learning model development and deployment.
- Proficiency in Python programming.
- Experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.
- Knowledge of deep learning techniques and algorithms.
- Experience with data analysis and feature engineering.
- Familiarity with model training, validation, and performance tuning.
- Experience with SQL and data manipulation.
- Understanding of cloud platforms and AI deployment architectures.
- Strong problem-solving and analytical skills.
Preferred Qualifications:
- Experience with Natural Language Processing (NLP).
- Experience with Generative AI and Large Language Models (LLMs).
- Knowledge of MLOps methodologies and tools.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience with Docker and Kubernetes.
- Familiarity with CI/CD processes and DevOps practices.
- Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.
Soft Skills:
- Excellent verbal and written communication skills.
- Strong analytical and troubleshooting abilities.
- Ability to work independently and collaboratively.
- Strong stakeholder management and teamwork skills.
- Self-motivated with strong ownership and accountability.
- Ability to manage multiple priorities in a fast-paced environment.
Mandatory Skills:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- Model Development
- Model Training and Validation
- Feature Engineering
- Data Analysis
- SQL
- Deep Learning
- Machine Learning Algorithms
- Model Deployment
Best Regards:
Peerbhi SK
Phone:
Email: