Senior Machine Learning Engineer, General AI, ML, Big Data

🕒 April 27

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C-Serv

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🤝 B2B

👥 HR Tech

🎯 Recruiter

B2B • HR Tech • Recruitment

C-Serv is a tech recruitment and global workforce solutions provider that specializes in helping businesses find skilled talent. With a deep understanding of tech staffing challenges, C-Serv offers personalized recruitment strategies, rigorous vetting processes, and flexible placement options to meet the unique needs of high-growth organizations around the world. Their services extend to supporting clients with comprehensive workforce management, ensuring compliance with international regulations while connecting companies to the specialized talent they need to drive innovation and success.

📋 Description

• **What You'll Do** • - Define and drive the technical vision for ML solutions across products and platforms • - Own the end-to-end software development lifecycle — from design and code reviews through to deployment and operations • - Architect high-performance, scalable microservices, including synchronous and asynchronous web services • - Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing • - Mentor engineers, set technical direction, and foster a strong team culture • - Champion engineering excellence, system resilience, and continuous operational improvement

🎯 Requirements

• **Required Qualifications** • - Degree in Computer Science, Mathematics, or a related field • - 5–10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations) • - 5–10 years of Python expertise, including advanced features and libraries • - Strong experience designing RESTful APIs (e.g., FastAPI) • - Proficiency with Docker, Kubernetes, and CI/CD pipelines • - 3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP) • - Proven experience as a tech lead or engineering mentor • **Preferred Qualifications** • - MS or PhD in Computer Science or ML • - Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT • - Familiarity with NoSQL and document databases • - Track record of handling big data, optimising workflows, and improving system performance

🏖️ Benefits

• - Health Care Plan (Medical, Dental & Vision) • - Life Insurance (Basic, Voluntary & AD&D) • - Paid Time Off (Vacation, Sick & Public Holidays) • - Family Leave (Maternity, Paternity) • - Training & Development