AI/ML Engineer/Data Scientist

Society of Exploration Geophysicists; Jersey City (NJ); Hybrid; USD 125,000 - 150,000; Full time

Job summary

A leading financial client seeks an AI/ML Engineer/Data Scientist for a 6+ month contract position in Jersey City, NJ. The role involves developing advanced AI solutions and collaborating across teams to enhance efficiency. Ideal candidates will have significant experience in machine learning, Python, and AWS, alongside excellent communication skills.

Benefits

Health insurance (medical, dental, vision)

401(k) plan

Paid sick leave

Qualifications

• 6+ years of experience in Machine Learning and Data Science.
• Strong programming skills in Python.
• Proven experience in developing and deploying machine learning models.

Responsibilities

• Develop and implement AI solutions using prompt engineering and large language models.
• Collaborate with cross-functional teams for system integration.
• Design and optimize machine learning models based on performance metrics.

Skills

Machine Learning

Data Science

Python

AWS

Education

Bachelor's or Master’s degree in Computer Science, Statistics, Data Science, or a related field

Tools

Pandas

NumPy

TensorFlow

PyTorch

scikit-learn

Matplotlib

Seaborn

LangChain

Job description

Immediate need for a talented AI/ML Engineer/Data Scientist. This is a 06+months contract to hire opportunity with long-term potential and is located in Jersey City NJ (Hybrid). Please review the job description below and contact me ASAP if you are interested.

Job ID: 25-73392

Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key 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.
• 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.
• 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
• 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
• 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.

Key Requirements and Technology Experience:

• Key Skills; Machine Learning and Data Science, Python and AWS
• 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 Client 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

Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.