Junior Associate - Artificial Intelligence (AI) Lead

Forest Pond Associates, Inc.; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Forest Pond Associates, Inc. is seeking a talented AI/ML Engineer to design, develop, and deploy AI models for client engagements.

You will analyze complex data, collaborate with cross-functional teams, and translate findings into actionable insights, while maintaining and improving AI applications. The role is remote initially with a planned onsite orientation and occasional Central Pennsylvania visits; candidates in the continental United States are preferred, and strong communication skills

Qualifications

• A bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field.
• Demonstrated experience in AI, machine learning, or data science.
• Experience with natural language processing (NLP) and computer vision.
• Proficiency in a programming language such as Python, R, or Java.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms, particularly Microsoft Azure, Azure Synapse, and data pipelines.
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Excellent written and verbal communication skills.

Responsibilities

• Design, develop, and deploy AI models and algorithms.
• Work with cross-functional teams to identify and address AI-related challenges.
• Analyze complex data and translate findings into actionable insights.
• Maintain and troubleshoot AI applications and models, including resolving defects and performance issues.
• Improve models through iteration and experimentation.
• Keep current with developments in artificial intelligence and machine learning.
• Document and present findings to stakeholders.

Skills

Python

R

Java

NLP

Computer Vision

TensorFlow

PyTorch

scikit-learn

Azure

Azure Synapse

Data Pipelines

Problem Solving

Communication

Education

Bachelor's or Master's degree

Tools

Azure

Azure Synapse

TensorFlow

PyTorch

scikit-learn

Job description

• Design, develop, and deploy AI models and algorithms.
• Work with cross-functional teams to identify and address AI-related challenges.
• Analyze complex data and translate findings into actionable insights.
• Maintain and troubleshoot AI applications and models, including resolving defects and performance issues.
• Improve models through iteration and experimentation.
• Keep current with developments in artificial intelligence and machine learning.
• Document and present findings to stakeholders.

Desired Skills and Minimum Experience

The selected candidate must have:

• A bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field.
• Demonstrated experience in AI, machine learning, or data science.
• Experience with natural language processing (NLP) and computer vision.
• Proficiency in a programming language such as Python, R, or Java.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms, particularly Microsoft Azure, Azure Synapse, and data pipelines.
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Excellent written and verbal communication skills.

Engagement Requirements

• Candidates located in the continental United States
• The position is remote until further notice. When onsite work is required, it will take place in Central Pennsylvania.
• In-person interviews or stakeholder work sessions may be held in Central PA
• The selected resource must attend a full-day onsite orientation and collect any assigned equipment in person.

Resources must:

• Complete the onboarding forms.
• Sign technology use policy and any required facility access agreement.
• Provide a contact phone number and current professional photo.
• Provide a Pennsylvania criminal history check dated after the statement of work release date, as well as a national criminal check.
• Sign a nondisclosure agreement if they will access or manage client systems or data. The client supervisor must also approve and sign the agreement.

Remote resources are expected to follow the client’s IT work guidelines, including:

• Using cameras during meetings.
• Maintaining a professional appearance during meetings.
• Being able to reach the client work location within three hours in an emergency.
• Attending onsite as needed for planned implementations or system issues, with advance notice when possible.

Resources must follow all applicable company and client standards.