Senior Machine Learning Engineer – Generative AI

Qualifications

• 8+ years of professional experience in machine learning, AI research, or related fields
• Strong hands-on experience with generative AI models, including LLMs, diffusion models, or related architectures
• Proficient in Python and ML frameworks such as PyTorch or TensorFlow
• Experience with deploying ML models to production, including cloud platforms (AWS, GCP, Azure)
• Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders
• Strong problem-solving skills and a proactive, collaborative mindset

Benefits

• Rate Range $65 to $70 hr W2 All Inc or $80 hr C2C All Inc
• Career growth and learning opportunities in the rapidly evolving AI landscape
• Competitive compensation and benefits package

Responsibilities

• In this role, you will bridge the gap between advanced AI research and practical, user-facing applications
• You will be responsible for designing, building, and deploying Generative AI models—including Large Language Models (LLMs) and Diffusion Models—to deliver impactful business solutions
• You will also play a key role in translating complex technical advancements into clear, actionable insights for non-technical stakeholders
• Design, develop, and deploy state-of-the-art generative AI models, including LLMs and diffusion models, for business applications
• Collaborate closely with product, engineering, and business teams to integrate AI solutions into production systems
• Translate complex machine learning concepts and model behavior into clear explanations for non-technical audiences
• Evaluate, fine-tune, and optimize model performance using both traditional and cutting-edge ML techniques
• Stay updated with the latest AI/ML research and drive innovation within the team
• Mentor and guide junior team members, fostering a culture of knowledge sharing and collaboration

Full Description

About Company,

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution.

We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.

Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed.

At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients.

Join us to challenge yourself and accomplish work that matters.

Senior Machine Learning Engineer – Generative AI

Atlanta, GA, USA-100% Remote

Rate Range $65 to $70 hr W2 All Inc or $80 hr C2C All Inc

About Us:

We are an innovative AI-driven organization focused on leveraging cutting-edge technologies to solve real-world business problems.

Our AI team is at the forefront of developing next-generation machine learning and generative AI solutions.

Role Overview:

We are seeking a highly skilled and communicative Machine Learning Engineer to join our AI team in Atlanta.

In this role, you will bridge the gap between advanced AI research and practical, user-facing applications.

You will be responsible for designing, building, and deploying Generative AI models—including Large Language Models (LLMs) and Diffusion Models—to deliver impactful business solutions.

You will also play a key role in translating complex technical advancements into clear, actionable insights for non-technical stakeholders.

Key Responsibilities:

Design, develop, and deploy state-of-the-art generative AI models, including LLMs and diffusion models, for business applications.

Collaborate closely with product, engineering, and business teams to integrate AI solutions into production systems.

Translate complex machine learning concepts and model behavior into clear explanations for non-technical audiences.

Evaluate, fine-tune, and optimize model performance using both traditional and cutting-edge ML techniques.

Stay updated with the latest AI/ML research and drive innovation within the team.

Mentor and guide junior team members, fostering a culture of knowledge sharing and collaboration.

Qualifications:

8+ years of professional experience in machine learning, AI research, or related fields.

Strong hands-on experience with generative AI models, including LLMs, diffusion models, or related architectures.

Proficient in Python and ML frameworks such as PyTorch or TensorFlow.

Experience with deploying ML models to production, including cloud platforms (AWS, GCP, Azure).

Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.

Strong problem-solving skills and a proactive, collaborative mindset.

Advanced knowledge of NLP, computer vision, or other AI domains is a plus.

What We Offer:

Opportunity to work on cutting-edge AI technologies with real-world impact.

Collaborative, innovative, and supportive work environment.

Career growth and learning opportunities in the rapidly evolving AI landscape.

Competitive compensation and benefits package.

Droisys is an equal opportunity employer.

We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.