Immediate need for a talented AI/ML Engineer. This is a 06-12+ months contract opportunity with long-term potential and is located in Charlotte/Raleigh, NC(Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID: 26-09990
Pay Range: $70 - $72/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
- AI Development & Engineering
- Design, develop, and deploy machine learning and deep learning models for real-world applications.
- Build and fine-tune large language model (LLM) based solutions (e.g., chatbots, recommendation systems, automation tools).
- Implement end-to-end ML pipelines including data preprocessing, model training, evaluation, optimization, and deployment.
- System Architecture & Integration
- Integrate AI services into existing products using APIs, microservices, and cloud platforms.
- Develop scalable and efficient backend systems to support AI applications.
- Optimize model performance and cost efficiency for production environments.
- Data Engineering & MLOps
- Collaborate with data engineers to collect, clean, and structure datasets.
- Implement MLOps best practices for continuous integration, monitoring, and version control of models.
- Ensure security, compliance, and ethical use of data in all AI systems.
- Collaboration & Innovation
- Partner with product managers, designers, and business stakeholders to create AI-driven features.
- Stay updated on AI research trends and evaluate new tools/techniques for adoption.
- Document AI systems, decisions, and processes for internal knowledge sharing.
Key Requirements and Technology Experience:
- Must have skills: Kubernetes
- Python
- PySpark
- AI Ops
- AI Development & Engineering
- System Architecture & Integration
- Data Engineering & MLOps
- Bachelor s or Master s degree in Computer Science, AI/ML, Data Science, or a related field.
- Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn, Transformers).
- Experience building and deploying models on cloud platforms (Azure, AWS, Google Cloud).
- Solid understanding of machine learning algorithms, deep learning architectures, and NLP.
- Hands-on experience with LLM fine-tuning, embeddings, vector databases, or RAG pipelines.
- Experience developing REST APIs, microservices, or backend components.
- Ability to work with large, complex datasets and data pipelines.
- Experience with MLOps tools: MLflow, Kubeflow, Docker, Kubernetes.
- Familiarity with GenAI frameworks: LangChain, LlamaIndex, Azure OpenAI, Hugging Face.
- Knowledge of reinforcement learning, computer vision, or multimodal AI.
- Experience with prompt engineering or model evaluation frameworks.
- Strong analytical and problem-solving abilities.
- Excellent communication skills, both technical and non-technical.
- Ability to work in a dynamic, fast-paced environment.
- Collaborative mindset with a passion for innovation.
Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
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