Job Title: Machine Learning Software Engineer
Location: Jersey City, NJ (Onsite — 5 days/week)
Job Type: 12+ Month Contract
Experience: 15+ years
Job Overview
Our client is looking for a hands-on ML Software Engineering leader to design, build, and run production-grade ML and Generative AI services. You will set technical direction across multiple workstreams, stay close to the code and architecture, and ensure enterprise-grade security, stability, and operational rigor. A key aspect of this role is translating complex AI/ML capabilities to both technical and non-technical stakeholders.
Key Responsibilities:
- Design, develop, and deploy ML/LLM/GenAI solutions from concept through production with full ownership of reliability and operability
- Build and institutionalize MLOps capabilities including automated deployment pipelines, monitoring, and model lifecycle management
- Fine-tune generative models for NLP use cases including summarization and text generation
- Evaluate and iterate on generative model architectures (e.g., GPT-4.1) to enhance NLP performance
- Implement real-time model performance monitoring to ensure reliability
- Mentor junior engineers through design reviews, code reviews, pairing, and coaching
- Communicate AI/ML capabilities and outcomes to technical and non-technical audiences
- Stay current with AI/ML/LLM/GenAI research and leverage external APIs for enhanced functionality
Required Skills:
- Python (model development, experimentation, OpenAI API integration)
- ML frameworks: TensorFlow, PyTorch, Scikit-learn
- Cloud platforms: AWS, Azure, Google Cloud Platform, Snowflake, or Databricks
- Containerization: Docker, Kubernetes; Microservices architecture
- ML fundamentals: classification, regression, time series, deep learning, reinforcement learning, GANs, VAEs
- Agentic AI architecture design, context engineering, RAG
- MLOps: pipelines, model monitoring, governance, lifecycle management
- Technical leadership: architecture decisions, design/code reviews, multi-workstream delivery
Preferred Skills
- Financial services industry experience
- RAG pipeline design and implementation
- Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies
Location & Work Model: Jersey City, NJ — Fully Onsite (5 days/week from day one)
Engagement Details: Contract engagement. Bachelor's or Master's degree in Computer Science, Engineering, or related field required
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