AI/ML Engineer (W2 only)
Job Title: AI/ML Engineer (W2 only)
Location: Onsite/Hybrid USA East Coast
Tax terms: W2
Primary Skills: AI, ML, Cloud, Python
Job Summary
- We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning and artificial intelligence solutions.
- The ideal candidate will have expertise in building predictive models, neural networks, and AI-driven applications, with a strong focus on solving complex business problems through data-driven intelligence.
Key Responsibilities
- Develop and optimize AI/ML models, including supervised, unsupervised, and reinforcement learning algorithms.
- Work with large-scale structured and unstructured datasets to extract insights and features for model training.
- Implement deep learning architectures (CNNs, RNNs, transformers) for tasks such as NLP, computer vision, or recommendation systems.
- Deploy machine learning models into production using cloud or on-premise infrastructure.
- Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications and workflows.
- Continuously monitor, evaluate, and improve model performance using metrics and A/B testing.
- Stay up-to-date with latest AI research, frameworks, and best practices.
Required Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
- Strong programming skills in Python, R, or similar languages.
- Knowledge of deep learning techniques, NLP, computer vision, and reinforcement learning.
- Hands-on experience with model deployment, containerization (Docker), and cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML).
- Strong analytical, problem-solving, and communication skills.
Nice to Have
- Experience with graph ML, generative AI, or large language models.
- Knowledge of big data technologies (Spark, Hadoop) and MLOps practices.
- Publications or contributions in AI/ML research projects.
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