Sr. Gen AI / LLM Engineer, New Jersey

Hybrid 3 days / week onsite at Jersey City, NJ, 07310 - 1st preference

Boston, MA, 02210 / - 2nd preference

Tampa, FL - Last preference

CTH- must be eligible for conversion

2 rounds of interviews

Important Notes from Hiring Manager:

Will be converting at a senior associate level

Feedback - MUST have hands on experience with writing code, machine learning technologies, API development/python, pandas, numpy

Supplier Call Notes:

Team - Tech Research and innovations team - they evaluate multiple usecases thrughout DTCC. Push the prototypes to Production.

1. Backfill Role - Needs candidates ASAP.

2. Building Gen AI Apps - RAG / Agentic Wokflows

3. Langchain / Langgraph - MUST have

4. Snowflake Cortex - nice to have

5. Interview - Candidate must be able to share screen and code sample Snippet.

6. Locations - Jersey City, NJ / Boston, MA. Last Option - Tampa, FL

Bachelor's or Master s degree in computer science, Statistics, Data Science, or a related field.

" 6+ years of experience in Machine Learning and Data Science.

" Need stong background in Genertive AI (RAG/ Agentic AI apps)

" Strong understanding of statistical methods, data structures, and algorithms.

" Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.

" Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP).

Responsibilities:

Generative AI Application Development

" Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).

" Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.

" Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.

Model Development and Deployment

" Design and develop machine learning models and algorithms to address business challenges and improve product features.

" Deploy machine learning models in production environments to ensure scalability and efficiency.

" Optimize and refine models based on performance metrics and feedback.

Data Management

" Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation.

" Implement data augmentation and feature engineering techniques to enhance model performance.

" Maintain and manage data pipelines to ensure seamless data flow and integration.

Research and Innovation

" Stay updated with the latest trends and advancements in AI and machine learning technologies.

" Conduct research to explore new methodologies and techniques that can be applied to current and future projects.

" Collaborate with cross-functional teams to drive innovation and implement cutting-edge solutions.

Collaboration and Communication

" Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals.

" Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.

" Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.

Qualifications

" Bachelor's or Master s degree in computer science, Statistics, Data Science, or a related field.

" 6+ years of experience in Machine Learning and Data Science.

" Strong understanding of statistical methods, data structures, and algorithms.

" Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.

" Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP).

" Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.

" Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.

" Proven experience in developing and deploying machine learning models in a production environment.

" Experience working with large datasets and performing data analysis.

" Previous experience in a similar role or industry is preferred.

" Excellent communication and collaboration skills.

" Strong problem-solving skills and analytical thinking

Passion for learning and staying up-to-date with the latest advance

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.