Machine Learning Engineer Operations

• Purpose-driven & inclusive organization • Work on impactful, real-world ML solutions About Our ClientThe employer is a mid-sized organisation within the Technology & Telecoms industry, known for its focus on innovation and advanced technological solutions. The company operates in a fast-paced environment, offering employees the chance to work on impactful projects. Job Description• Develop, implement, and optimise machine learning models for operational purposes. • Collaborate with cross-functional teams to integrate machine learning solutions into existing systems. • Analyse large datasets to identify patterns and insights that drive decision-making. • Ensure the scalability and performance of machine learning models in production environments. • Conduct testing and validation of models to ensure accuracy and reliability. • Provide technical support and troubleshooting for deployed models and systems. • Document processes, methodologies, and results for internal and external stakeholders. • Stay updated on the latest advancements in machine learning and related technologies. The Successful ApplicantA successful Machine Learning Engineer Operations should have: • A strong educational background in computer science, data science, or a related field. • Proficiency in programming languages such as Python or R, and frameworks like TensorFlow or PyTorch. • Experience in working with large datasets and data analysis tools. • Knowledge of machine learning algorithms, model development, and deployment processes. • Ability to work collaboratively with cross-functional teams to achieve project goals. • A proactive attitude towards problem-solving and process improvement. What's on Offer• Temporary opportunity to contribute to a key project in the Technology & Telecoms industry. • Chance to work in a well-established organisation with a focus on innovation. • Exposure to cutting-edge machine learning technologies and tools. • Work location in Singapore, a hub for technology and innovation. If this role aligns with your skills and aspirations, we encourage you to apply and take the next step in your career. Contact Meenal Sharma (Lic No: R21103442/ EA no: 18C9065) Quote job ref JN-052026-7022025 Phone number +65 6643 9741 Michael Page International Pte Ltd | Registration No. 199804751N