Lead AI/ML Engineer

SA Photonics, a CACI Company; Lisle (IL); On-site; USD 90,000 - 190,000; Full time

Job summary

A leading company in the defense and space manufacturing sector seeks a Lead AI/ML Engineer to drive innovative solutions through machine learning. The role involves leading ML model development and mentoring junior engineers while collaborating across teams to tackle complex problems. Applicants should have advanced degrees and significant experience in ML engineering, as well as strong programming skills in Python.

Benefits

Healthcare benefits

Wellness programs

Financial benefits

Continuing education opportunities

Time off benefits

Qualifications

• 5+ years of professional experience in production machine learning engineering.
• Expertise in developing and deploying large-scale ML systems.
• Strong programming skills in Python and knowledge of ML frameworks.

Responsibilities

• Design, develop, and implement advanced machine learning models.
• Lead end-to-end machine learning pipeline from data collection to deployment.
• Mentor junior engineers and provide technical guidance.

Skills

Python

Machine Learning

Problem Solving

Communication

MLOps

Data Analysis

Education

Bachelor’s and/or Master’s Degree in Computer Science

Machine Learning Degree

Computer Engineering Degree

Data Science Degree

Tools

TensorFlow

PyTorch

scikit-learn

SQL

Job description

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The Opportunity:

Lead the effort to build new datasets and pipelines for program needs. Analyze data (e.g. IP data) for detection of anomalies and trends. Responsible for innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Champion the effort to integrate AI assistance and ML techniques into the software development process, including mentoring the team on industry standard frameworks and analysis techniques.

Job Profile

Software Engineering T3

JR Type

Funded

Job Category

Engineering

Minimum Clearance Required To Start

TS/SCI

Percentage Of Travel Required

Up to 10%

Type Of Travel

Continental US, Local

Program/Opportunity Name

Program | MERCURY

Referral Bonus Plan

$3,000

* * *

Job Description

The Opportunity:

Lead the effort to build new datasets and pipelines for program needs. Analyze data (e.g. IP data) for detection of anomalies and trends. Responsible for innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Champion the effort to integrate AI assistance and ML techniques into the software development process, including mentoring the team on industry standard frameworks and analysis techniques.

Lead research and innovation efforts on complex solutions to security challenges in telecommunications and IP/computer networking equipment in the cyber security domain. Use generative AI/ML based analytics solutions processing large sets of structured and unstructured data to gain insights and drive decision making.

Responsibilities

• Design, develop, and implement advanced machine learning models and algorithms.
• Lead the end-to-end machine learning pipeline, from data collection and preprocessing to model deployment and monitoring, with a goal of integrating AI assistance or machine learning techniques into software development processes, field support, and data analysis of large data sets.
• Collaborate across teams to identify and solve complex problems using ML techniques.
• Assist DevOps in selecting AI hardware and software.
• Mentor junior engineers and data scientists, providing technical guidance and best practices. This includes participating in design and code reviews.
• Stay current with the latest advancements in ML/AI and evaluate new technologies for potential implementation.
• Act as the technical liaison to customers in representing key issues.
• Operate effectively and comfortably in a team environment, as a team member and as a team leader. This includes the ability to work across organizational boundaries, as necessary.
• Assist technical management in facilitating process changes needed to meet customer quality and schedule requirements.
  
  

Qualifications

• Bachelor’s and/or Master’s Degree in Computer Science, Machine Learning, Computer Engineering, Data Science, or related technical discipline
• 5+ years of professional experience in production machine learning engineering environments
• Expertise in developing and deploying large-scale ML systems in production environments
• Strong programming skills in Python, with experience in ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Proficiency in SQL
• Experience with MLOps practices
• Basic knowledge of IP networking
• Excellent problem-solving skills and ability to work in a fast-paced environment
• Strong communication skills and ability to explain complex concepts to both technical and non-technical stakeholders. Excellent oral and written communication skills
• Willingness and ability to quickly learn new technologies
• Comfortable using Linux operating systems and commonly used Linux utilities
• Ability to work both independently and as a collaborative team member
• Demonstrated effectiveness in leading, organizing, and executing technical efforts
• Must be a US Citizen with the ability to obtain, maintain, and/or transfer the required security clearance as dictated by the contract
• Flexibility to adapt to new and changing environments
  
  

Desired

• Some advanced knowledge of computer networking, including TCP/IP networking/OSI model, and routing algorithms
• Telephony knowledge
• Experience with cloud platforms
• Experience with deep learning, natural language processing, or computer vision
  
  

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here.

The Proposed Salary Range For This Position Is

$90,300 - 189,600 USD

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Defense and Space Manufacturing

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