Lead AI/ML Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee technical assessments of innovative AI/ML technologies via prototypes, proof of concepts, and experimentation.

• Evaluate and convey the advantages, trade-offs, and implementation risks of new technologies to both technical and business stakeholders.

• Design, create, and implement production-ready AI/ML applications in AWS cloud environments.

• Facilitate AI/ML application development across various disciplines including development, operations, and security in cloud-native settings.

• Propel enterprise-wide adoption of contemporary AI technologies and engineering best practices.

• Construct, train, assess, and refine machine learning models for practical use cases.

• Work closely with clients and interdisciplinary engineering teams to deliver essential solutions.

• Offer technical guidance by mentoring engineers and aiding in the professional advancement of junior team members.

• Share technical insights, experimental outcomes, and architectural recommendations with internal leadership and federal clients.

⛳️ Requirements

• Candidates must be U.S. Citizens.

• Capability to secure a Public Trust clearance.

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical discipline (or equivalent experience).

• 7–10 years of professional experience in software or cloud engineering.

• Minimum of 3 years of experience in deploying production enterprise applications on AWS.

• At least 2 years of experience in implementing production AI/ML applications in enterprise settings.

• Strong expertise in Python programming.

• Familiarity with machine learning frameworks like TensorFlow or PyTorch.

• Experience with AI/ML platforms and services such as Amazon Bedrock, SageMaker, Hugging Face, Weights & Biases, or similar technologies.

• Solid background in data analysis and manipulation utilizing pandas.

• Experience in visualizing and presenting experimental results using tools like matplotlib.

• Proficient in working within AWS cloud environments.

• Ability to swiftly learn new technologies and contribute across multiple projects.

• Strong analytical, communication, and problem-solving abilities.

• Comfortable delivering technical solutions to clients and executive stakeholders.

🏝️ Benefits

• Remote Work (Hybrid roles will be specified in the job post).

• Competitive Compensation Package.

• Medical, Dental, and Vision coverage.

• Life Insurance, Short/Long Term Disability benefits.

• Employee Assistance Program.

• 401(k) plan with 4% matching.

• Generous PTO vacation policy.

• Substantial Annual Continuing Education opportunities.

• Annual Wellness Budget.

• Bonus Incentive Programs, including employee referrals and performance-based rewards.