AI Engineer
Jersey City, New Jersey, United States of America
Contract
3 weeks ago
Key skills
PythonJavaScalaAIArtificial IntelligenceMachine LearningMLDeep LearningNLPComputer VisionGenerative AIPyTorchTensorFlowscikit-learnMLOpsMLflowKubeflowAnalyticsSparkAirflowHadoopAWSAzureGoogle CloudKubernetesDockerCI/CD
About this role
Job Title: AI Engineer
Location: Jersey City, NJ (Hybrid)
Duration: 12+ Months
Employment Type: W2 Only
Job Summary
We are seeking a skilled and innovative AI Engineer to design, develop, and deploy scalable artificial intelligence and machine learning solutions. The ideal candidate will have strong expertise in data science, machine learning algorithms, and software engineering, with a passion for solving complex business problems using AI technologies.
Key Responsibilities
- Design, build, and deploy machine learning and AI models in production environments
- Develop and optimize algorithms for predictive analytics, NLP, computer vision, or recommendation systems
- Work closely with data scientists, software engineers, and business stakeholders to translate business requirements into AI solutions
- Build and maintain data pipelines and model training workflows
- Fine-tune and evaluate models for performance, scalability, and accuracy
- Implement MLOps best practices for model monitoring, versioning, and deployment
- Stay updated with the latest advancements in AI, machine learning, and deep learning
- Ensure ethical AI practices, data privacy, and compliance standards
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field
- Strong programming skills in Python (mandatory); knowledge of Java/Scala is a plus
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Solid understanding of machine learning algorithms and deep learning techniques
- Experience with NLP, Computer Vision, or Generative AI (LLMs, Transformers)
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud
- Experience with APIs, microservices, and model deployment
- Strong problem-solving and analytical thinking skills
Preferred Qualifications
- Experience with Generative AI, LLMs, and prompt engineering
- Knowledge of MLOps tools (MLflow, Kubeflow, Airflow, etc.)
- Experience working with big data technologies (Spark, Hadoop)
- Understanding of CI/CD pipelines and containerization (Docker, Kubernetes)
- Exposure to vector databases and embeddings