Position Summary
Contractor
Onsite - New Jersey
Work you'll do
We are seeking a Full Stack Developer Machine Learning / AI Contractor with 7+ years of development experience, including at least 4 years delivering AI/ML solutions. You'll build and deploy production-ready machine learning, generative AI, and agentic applications that support the project team's analytical and automation needs. The role combines strong Python and cloud engineering with practical experience in RAG, retrieval quality, and production monitoring.
Key responsibilities
- Develop, train, evaluate, and implement machine learning and AI models using relevant data sources.
- Build and deploy LLM-powered, agentic, and RAG applications for project objectives.
- Apply NLP, computer vision, predictive analytics, and information retrieval techniques as needed.
- Preprocess data, select features, and evaluate model and retrieval quality using appropriate metrics.
- Implement tracing, evaluations, guardrails, and monitoring for AI applications in production.
- Design and work with data models and real-time processing solutions across SQL and NoSQL stores.
- Document methodologies and collaborate with technical and business stakeholders to deliver solutions aligned with project requirements.
Required qualifications, capabilities, and skills
- MS in Computer Science, Statistics, Mathematics, Machine Learning, or a related field-or equivalent experience.
- 7+ years of development experience, including 4+ years working on AI/ML solutions.
- Advanced Python skills and strong knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.
- Hands-on experience building and operating production LLM-powered or agentic applications, including tracing, evaluations, and guardrails.
- Experience owning retrieval or recommendation quality in production, supported by metrics and disciplined evaluation.
- Practical RAG experience, including retrieval quality, embeddings, and vector stores; Graph RAG experience is a plus.
- Experience with Kubernetes, including AWS EKS.
- Experience training models in Databricks and SageMaker, and working with MLflow.
- Expert knowledge of at least one of AWS, Azure, or Kubernetes.
- Knowledge of data management and data model design, with real-time processing using SQL and NoSQL stores such as PostgreSQL, OpenSearch, or Redis.
- Strong communication skills and the ability to partner effectively with senior technical and business stakeholders.
Preferred qualifications, capabilities, and skills
- Production experience with recommendation, propensity, ranking, or learning-to-rank models.
- Experience with NLP and large-scale information retrieval, including document understanding and extraction, summarization evaluation, reranking, or speech-to-text and call intelligence.
- Experience with online experimentation and interleaving for retrieval or recommendation quality.
- Experience with Salesforce objects or Data Cloud, and modeling sales pipeline or engagement data.
- Experience delivering models through model risk management or an equivalent regulatory review process, including supervision of client-facing generated content.
- Experience in financial services or payments, or with sales enablement and client service platforms.
- Experience with agent frameworks or runtimes, A2A, or MCP.
- Experience designing agent memory, including episodic or semantic memory, and managing organizational context.
- Experience with knowledge graphs or graph databases for retrieval.
- Understanding of LLM fine-tuning and small language model inference.
- Experience developing full-stack products with modern JavaScript or TypeScript frameworks, such as Next.js or Svelte, for agent user interfaces.
- Knowledge of high-performance languages such as Go or Rust.
The expected pay range for this contract assignment is $80 - $90 per hour. The exact pay rate will vary based on skills, experience, and location and will be determined by the third-party whose employees provide services to Deloitte.
Candidates interested in applying for this opportunity must be geographically based in the United States and must be legally authorized to work in the United States without the need for employer sponsorship.
We do not accept agency resumes and are not responsible for any fees related to unsolicited resumes.
Deloitte is not the employer for this role.
This work is contracted through a third-party whose employees provide services to Deloitte.
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Expected Work Schedule
Approximate hours per week
About Deloitte
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It makes Deloitte one of the most rewarding places to work.