AI/ML Engineer/Data Scientist
Veterans Sourcing Group
Jersey City, NJ
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JOB DETAILS
LOCATION
Jersey City, NJ
POSTED
30+ days ago
Location: Jersey is the preference- hybrid (open to Boston/Mclean, VA as well)
CTH- must be eligible for conversion. Will be converting at a senior associate level
2 rounds of interviews
Feedback from the manager - hands on experience with writing code, machine learning technologies, API development/python, pandas, numpy,
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
About the Company
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