Company Background

Our client is a leading global provider of advanced analytics, technology solutions, and clinical research services for the life sciences industry. The company combines large-scale healthcare data with AI-powered analytics to accelerate drug development, clinical trials, and commercialization for pharmaceutical and biotech companies. It was named to Fortune’s World’s Most Admired Companies list in 2026.

Project Description

Project is seeking a hands-on AI Engineer to design, build, and deploy production-ready AI and machine learning systems. The engineer will work closely with data scientists, architects, and product teams to transform models and AI concepts into scalable, reliable applications. The role combines AI/ML engineering, production deployment, and application integration to help deliver practical AI-driven solutions.

Technologies

Python / TypeScript / C#
PyTorch / TensorFlow / Scikit-learn
REST APIs, microservices
Azure / AWS / GCP
CI/CD, MLOps, model monitoring

What You'll Do

Design, develop, train, and deploy machine learning and deep learning models for production use;
Build and maintain end-to-end AI/ML pipelines, covering data preparation, model development, deployment, monitoring, and continuous improvement;
Integrate AI capabilities into applications through APIs, microservices, and scalable backend services;
Work with LLMs, RAG pipelines, and AI agents where relevant to product needs;
Optimize models and AI services for performance, scalability, latency, and cost efficiency;
Implement and improve CI/CD and MLOps practices to automate the model lifecycle;
Monitor models and AI services in production, ensuring reliability, accuracy, and stable performance;
Collaborate with data scientists, software engineers, DevOps/MLOps engineers, and product teams to deliver AI-driven features;

Job Requirements

Strong programming skills in Python and/or TypeScript/C#;
Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn;
Hands-on experience deploying AI/ML models to production environments;
Experience building or integrating APIs, microservices, and distributed systems;
Familiarity with cloud platforms such as Azure, AWS, or GCP;
Understanding of MLOps practices, including CI/CD, model monitoring, versioning, and automated deployment;
English level: B2 or higher;

Nice To Have

Experience with Generative AI, LLMs, or RAG architectures;
Familiarity with vector databases such as Pinecone, Weaviate, or similar tools;
Understanding of data pipelines and streaming systems;
Experience with model evaluation frameworks;

What Do We Offer

Remote work. We respect each employee’s chosen way to work remotely anywhere.
"Launch for success" package: premium health insurance, monthly lunch vouchers, telecom services for employees and their family members, and more.
Global teams. The working model in the company is based on working in global multicultural departments and gaining experience from the highest-level professionals.
International Clients. It is on us to ensure the wide range of Clients you will work with – Innovative start-ups and Fortune 1000 companies in the U.S. and Europe.
Professional growth opportunity. We created a professional training center including educational programs for developers of any level and live training sessions.
Unique ideas development. Our internal start up incubator, Innovation Sandbox, helps to materialize ideas, receive support on their realization, and win cash prizes.
Team spirit. Work in the company is not just about work – team building, celebrations, corporate events, family events and other traditions are an essential part of our culture.

Please take you time to see Coherent Solutions Privacy Policy for Job Applicants for details on how we process your personal data: https://www.coherentsolutions.com/privacy-policy-for-job-applicants