C-Serv
Information Technology and Services
PrincipalMachineLearningEngineer,GeneralAI,ML&BigData
Neural analysis suggests this role is
optimal for Lead candidates.
“Principal Machine Learning Engineer, General AI, ML & Big Data at C-Serv. Skills: Machine Learning, AI, Python, System Architecture. Define ML solutions vision. Drive ML solutions vision”
Industry & Context.
What They're Looking For.
Must Have
Degree in Computer Science, Mathematics, or a related field, 5–10 years of full software development lifecycle experience, 5–10 years of Python expertise, experience designing RESTful APIs, Proficiency with Docker, Proficiency with Kubernetes, Proficiency with CI/CD pipelines, 3+ years designing and architecting large-scale distributed systems on cloud platforms, Proven experience as a tech lead or engineering mentor
Nice to Have
MS or PhD in Computer Science or ML, Hands-on experience with ML frameworks, Familiarity with NoSQL, Familiarity with document databases, Track record of handling big data, optimising workflows, improving system performance
What You'll Do.
Define ML solutions vision
Drive ML solutions vision
Own software development lifecycle
Architect microservices
Build inference pipelines
Set technical direction
How You'll Work.
Team & Collaboration
Work with product team
Full Job Description
**About Opportunity** We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers’ platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning — powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected. **The Role** As one of our Principal ML Engineer’s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. **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 NoSQ
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