Save Job Back to Search Job Description Summary Similar JobsOpportunity to work in international cross-functional teamsGain hands-on experience with cutting edge technologyAbout Our ClientThis opportunity is with a large organization in the industrial/manufacturing sector that is committed to leveraging cutting-edge technology to improve its processes and products. The company is known for its forward-thinking approach and dedication to excellence.Job DescriptionDesign, train, and deploy AI/ML and Generative AI models, including LLM fine‑tuning, embeddings, RAG pipelines, and intelligent automation systems.Develop modular Python-based AI services using FastAPI/Flask, scalable architectures, and production best practices.Build end‑to‑end ML pipelines: data ingestion, feature engineering, model training, hyperparameter tuning, evaluation, and deployment.Write high-performance SQL and manage robust PostgreSQL environments with optimized schemas, indexing, and stored procedures.Build ETL/ELT data pipelines supporting model training and real-time inference.Integrate models with cloud services (Azure/OpenAI, Azure ML, GCP Vertex AI, AWS Bedrock), APIs, and microservices.Implement MLOps practices: model registries, monitoring, automated retraining, CI/CD for ML workflows.Collaborate with product and engineering teams to transform business objectives into AI-driven technical solutions.The Successful ApplicantA successful AI Engineer should have:A degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with strong foundations in machine learning, deep learning, and data analysis.Advanced proficiency in Python for AI/ML development, including Pandas, NumPy, Scikit‑learn, XGBoost, and experience with major deep learning frameworks such as PyTorch or TensorFlow.Hands‑on experience with LLMs and Generative AI, leveraging OpenAI‑compatible providers (OpenAI, Azure OpenAI, etc.), including embeddings, RAG architectures, and prompt engineering.Strong command of SQL and relational databases, especially PostgreSQL, with skills in performance tuning, indexing strategies, query optimization, and PL/pgSQL.Proven ability to build and deploy end‑to‑end AI systems and microservices, including ML pipelines, FastAPI/Flask services, and cloud-based deployments across Azure, GCP, or AWS, with CI/CD and MLOps best practices.What's on OfferContract: 1 year (extendable)Medical BenefitsExposure to cutting-edge technology projects.Opportunity to work with a large organization in the industrial/manufacturing industry.If you are passionate about AI and looking to make an impact in the technology department, we encourage you to apply.ContactCharlene FernandezQuote job refJN-012026-6935405Phone number+60323024024Job summaryFunctionITSpecialisationIT DevelopmentWhat is your area of specialisation?Industrial / ManufacturingLocationMalaysiaContract TypeTemporaryConsultant nameCharlene FernandezConsultant contact+60323024024Job ReferenceJN-012026-6935405Work from HomeWork from Home or Hybrid