AI/ML Engineer / Data Scientist (AWS) / New Jersey / W2 Only

Job Position: ML Engineer (AWS)

Location: Jersey City, NJ (Onsite)

Type: Contract to hire (W2 Only)

Required Visa: & GC

Responsibilities:
- Lead the end-to-end design, development, and deployment of scalable machine learning models and systems in production.

- Partner with data scientists to operationalize advanced research into reliable, production-ready services.
- Define and implement monitoring, observability, and automated retraining strategies to ensure model reliability and detect drift.
- Collaborate with product, engineering, and business leadership to shape ML roadmaps and translate strategic goals into technical deliverables.
- Evaluate and introduce emerging ML technologies, frameworks, and methodologies to keep the organization at the forefront of innovation.
- Own the technical health of ML systems, including performance optimization, cost efficiency, and scalability.

Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- **10+ years** of hands-on experience deploying machine learning models in production, with a track record of delivering large-scale systems.
- Expert-level programming skills in **Python**, with basic understanding in additional languages such as Java, Scala.
- Advanced understanding of data structures, algorithms, distributed systems, and software engineering principles.
- Extensive experience with cloud platforms (AWS) and containerization/orchestration (Docker, Kubernetes).

-Deep experience with MLOps tooling (MLflow, SageMaker, Vertex AI) and CI/CD for ML.
- Proven experience designing and maintaining large-scale data processing systems.
- Demonstrated experience leading technical projects and mentoring engineers.

Preferred Qualifications
-- Advanced knowledge of deep learning, NLP, computer vision, or large language models.
- Experience with distributed training, model optimization, and high-throughput serving infrastructure.
- Understanding of ML frameworks such as **TensorFlow, PyTorch, or scikit-learn**.