AI/ML Data Scientist Generative AI & LLM

Key Responsibilities: Design, develop and deploy AI/ML models to solve complex business problems using structured and unstructured data. Build predictive models using machine learning, statistical modeling, feature engineering and advanced analytics techniques.

Job Title: AI/ML Data Scientist – Generative AI & LLM
Location: Weehawken, NJ,(Onsite)
Duration: 6 Months


Salary Range: $40.00 - $42.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2.
 
Role Description:
Key Responsibilities:

• Design, develop and deploy AI/ML models to solve complex business problems using structured and unstructured data.
• Build predictive models using machine learning, statistical modeling, feature engineering and advanced analytics techniques.
• Develop Generative AI and LLM-based solutions, including RAG, prompt engineering, embeddings and vector-search-based applications.
• Perform data exploration, cleansing, preprocessing, feature selection and model evaluation using Python, Pandas, NumPy and Scikit-learn.
• Develop deep learning solutions using frameworks such as PyTorch or TensorFlow where required.
• Work with LLMs and AI platforms such as Azure OpenAI, along with frameworks such as LangChain/LlamaIndex when appropriate.
• Design and evaluate RAG pipelines, including document processing, chunking, embeddings, retrieval and response-quality evaluation.
• Develop and integrate AI services using REST APIs and collaborate with engineering teams to productionize models.
• Implement MLOps practices covering model versioning, deployment, monitoring and continuous improvement.
• Collaborate with business stakeholders, data engineers, architects, and application teams to translate business requirements into scalable AI solutions.

Required Skills:

• Strong programming experience in Python and SQL.
• Strong knowledge of Machine Learning, NLP, statistical modeling and predictive analytics.
• Hands-on experience with Generative AI, LLMs, RAG, prompt engineering and embeddings.
• Experience with Scikit-learn, PyTorch and/or TensorFlow.
• Good understanding of vector databases/search technologies and semantic search.
• Experience with Azure AI/Azure OpenAI or equivalent cloud AI platforms.
• Knowledge of MLOps, model deployment, APIs and production AI architectures.
• Strong analytical, problem-solving and stakeholder communication skills.

Required Experience:

• Overall Experience Required is 8–10 years of overall experience.
• Must Have 7+ years of experience in Database Technology.
• Must Have 7+ years of experience in Artificial Intelligence (AI).
• Must Have 7+ years of experience in Machine Learning.
• Must Have 7+ years of experience in Python.