AI/ML Engineer

Coherent Solutions, Inc.; Georgia; Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Flexible work options

Technical training and mentorship

Job summary

Coherent Solutions, Inc. is seeking experienced AI/ML engineers to join our strategic pool aimed at enhancing AI capabilities. This role combines technical depth with ownership, focusing on designing reusable frameworks and mentoring fellow engineers.

Our ideal candidate has a strong background in Python, cloud platforms, and a passion for AI, with opportunities to influence key initiatives while participating in internal knowledge-sharing sessions.

Qualifications

• 3+ years of experience in ML engineering, including hands-on exposure to LLMs.
• Strong proficiency in Python and ML frameworks.
• Familiarity with CI/CD and DevOps practices.

Responsibilities

• Design, develop, and deploy scalable ML services.
• Optimize ML workflows for performance and cost efficiency on cloud platforms.
• Mentor and guide junior engineers.

Skills

ML engineering

Python

AI/ML solutions architecture

Cloud platforms (AWS/Azure)

CI/CD practices

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field

Tools

PyTorch

TensorFlow

Git

Grafana

DataDog

Job description

We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery—it is about shaping how AI is built, shared, and scaled across the company.

As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators—reusable frameworks, templates, and reference architectures covering GenAI, LLM‑based solutions, ML pipelines, and cloud‑native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.

A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge‑sharing initiatives: technical deep dives, hands‑on workshops, demos, and best‑practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost‑efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1‑2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting‑edge AI use cases while maximizing your impact across multiple initiatives.

Project Description

This role is ideal for experienced AI/ML engineers who enjoy ownership, technical depth, and influence—engineers who want to work hands‑on with modern AI stacks (Python, GenAI frameworks, cloud platforms like AWS/Azure, CI/CD, MLOps) while also shaping strategy and long‑term capabilities. The company fully supports this initiative and sees AI as a core growth pillar, offering you the opportunity to work on high‑visibility initiatives with real strategic importance and long‑term impact.

Technologies

• Python
• Git
• CI/CD practices for ML pipelines
• PyTorch, TensorFlow
• Generative AI & NLP
• Vector Databases
• YOLO, SSD
• SAM2
• Grafana
• DataDog

What You’ll Do

• Work on the design, development, and deployment of scalable ML services;
• Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
• Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
• Mentor and guide junior engineers, promoting best practices in ML engineering;
• Develop and maintain documentation, ML models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
• Stay up‑to‑date with emerging trends and technologies in AI/ML field;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field;
• 3+ years of experience in ML engineering, including hands‑on exposure to LLMs;
• Strong proficiency in Python and ML frameworks;
• Experience with cloud platforms (AWS or Azure);
• Familiarity with CI/CD and DevOps practices;
• Understanding of data governance and security in cloud environments;
• Good communication and problem‑solving skills;
• English: Upper Intermediate or higher;

What Do We Offer

The global benefits package includes:

• Technical and non‑technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.