Machine Learning Data Science

Job Title: AI/ML Engineer

Job Location: Jersey City

Client: DTCC

Summary:

We're seeking a passionate, hands-on AI/ML Engineer to join our dynamic Technology Research and Innovation team, where you’ll play a pivotal role in spearheading AI initiatives and innovation. As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement.

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 programming skills in Python

• Experience working with large datasets and performing data analysis.

• Experience with Machine Learning, Data Visualization, and Generative AI libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain).

• Experience in Prompt Engineering, LLM Fine Tuning, and evaluation techniques

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

• Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic AI Workflow, Statistical methods, data structures, and algorithms.

• Experience with Snowflake Data Pipelines (stream, task, UDF) and Cortex features is a plus

• Experience with AWS Sage Maker, Bedrock, and AWS cloud platform for deploying AI solutions.

• Experience in building Asynchronous Python APIs for model inferencing.

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

• 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 advancements in AI field

Responsibilities:

Generative AI Application Development

• Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic AI 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.

Python API Development

• Develop scalable APIs in python (fastApi, Apache, Gunicorn, Uvicorn) for model inferencing

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 teams