Sertis
Data and AI engineering and solutions
MachineLearningEngineer/AIEngineer
“Machine Learning Engineer/AI Engineer at Sertis. Skills: Machine Learning, AI, Generative AI, MLOps. Productionize data science research. Run AI models on diverse hardware”
What You'll Achieve.
Optimizing and commercializing their data; Activate real business results; Enhancing the economic and social lives of our customers; Delivering best-in-class Data and AI solutions
Industry & Context.
Excellent problem-solving skills
What They're Looking For.
Must Have
3 years of experience as an AI/ML Engineer, past experience in Data science, past experience in Software development, past experience in Machine learning for cloud-based solutions, understanding of machine learning processes and standards, understanding of the Software Development Life Cycle (SDLC), programming skills in Python, programming skills in C++, programming skills in other languages commonly used in machine learning applications, Good understanding of Generative AI concepts, real-world experience developing Generative AI applications, Hands-on experience with LLM APIs, understanding of REST APIs, understanding of git version control, understanding of CI/CD, understanding of MLOps principles, Experience with cloud platforms, Experience with Docker, Experience with containerization, Excellent problem-solving skills, ability to work well in a fast-paced, collaborative environment, ability to scope projects, ability to define architectures, ability to choose technologies based on project requirements, communication and interpersonal skills, Proven experience in providing technical mentorship and guidance to junior engineers, communication skills in English
Nice to Have
experience in Data science, experience in Software development, experience in Machine learning for cloud-based solutions, experience with OpenAI, experience with Hugging Face, experience with AWS, experience with GCP, experience with Azure
What You'll Do.
Productionize data science research
Run AI models on diverse hardware
Design MLOps infrastructure
Build MLOps infrastructure
Optimize models for deployment
Write production-ready software
Work on generative AI use-cases
Build agentic systems
Develop scalable infrastructure
Maintain scalable infrastructure
Develop cloud-native APIs
Develop software for model inference
Build agentic systems from scratch
Troubleshoot generative AI models
Resolve generative AI implementations
Develop technical documentation
Maintain technical documentation
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Collaborate with clients; Collaborate with team members
Communication Scope
communication skills; interpersonal skills; communication skills in English
Process & Methodology
Scope projects, Define architectures, Choose technologies
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