AI Engineer
SDG Group
Employer Active
Posted 22 hrs ago
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Experience
4 - 9 Years
Education
Bachelor of Technology/Engineering(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Develop AI Solutions: Engage in the full cycle of AI solution development, from identifying business objectives and challenges to building production-ready systems, including the use of Generative AI and large language models (LLMs).
Industrialise Machine Learning Systems: Lead machine learning system industrialisation initiatives using MLOps practices to ensure scalability and reliability across both traditional ML and advanced Generative AI architectures.
Build Advanced Analytics Platforms: Design and implement advanced analytics platforms and cloud-based systems to support large-scale data science operations, incorporating capabilities for agentic AI workflows and reusable LLM components.
Leverage Cloud Tools: Learn, train, and utilise a variety of cloud-based tools and platforms to develop and deploy data science, MLOps, and LLM-powered solutions effectively. Leverage APIs and SDKs from providers such as OpenAI, Gemini (Google), and Claude (Anthropic).
Desired Candidate Profile
Educational Background: Degree in Computer Engineering, Telecommunications Engineering, or related technical disciplines in software engineering.
Experience: Minimum of 4 years as a machine learning engineer or similar role, with hands-on expertise in building and deploying AI and ML solutions, including real-world applications of LLMs and generative AI techniques.
Data Science Knowledge: Solid understanding of data science fundamentals, solution lifecycle, and MLOps practices, with additional experience applying multi-component and agentic AI patterns.
Technical Proficiency: Proficient in software development and implementation of AI/ML systems using cutting-edge technologies such as Python, R, Docker, Kubernetes. Familiarity with modern LLM frameworks such as LangGraph and Pydantic, and tools like Azure Databricks, MLflow, Google Vertex AI, and cloud-native LLM hosting and tuning platforms.
Consulting Experience: Prior work in data & analytics consulting or similar domains, including delivering AI/ML or LLM-based solutions to clients.
Data Engineering Background: Experience in other data value chain roles, particularly data engineering, with awareness of the implications for generative and predictive model performance.
Cloud Expertise: Hands-on experience with cloud-based technologies for infrastructure, data pipelines, and monitoring AI/ML and LLM-based systems across platforms such as Azure, AWS, and GCP.
Certifications: Relevant certifications in ML system development and cloud-based AI platforms (e.g., Azure AI Engineer Associate, AWS Machine Learning Speciality, Google Cloud ML Engineer), including training in the use of LLMs and generative AI.
Company Industry
- Consulting
- Management Consulting
- Advisory Services
Department / Functional Area
- IT Software
Keywords
- AI Engineer
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SDG Group
SDG Group is a global consulting firm, fully dedicated to Data, Analytics, and AI solutions. We offer end-to-end support across the entire data value chain, providing tailored career paths for those who wish to excel in the world of data.