Machine Learning - ML Engineer (Hanoi)

<h3>Company Overview:</h3><p>At <strong>TechX</strong>, we are pioneers in delivering cutting-edge solutions that empower businesses to thrive in today’s digital landscape. With a strong focus on <strong>Cloud Transformation (AWS)</strong>, <strong>Data Modernization</strong>, and <strong>Generative AI</strong>, we bring unparalleled expertise to drive innovation, efficiency, and growth for our clients.</p><p>We specialize in <strong>banking and financial services, retail, manufacturing, and transportation</strong>, delivering impactful solutions that address industry-specific challenges and significant market shifts.</p><p>Together, we’ll build a future where innovation knows no limits.</p><h3>Job Description:</h3><p>We are hiring <strong>Senior and Junior ML Engineers</strong> to work on Synaptix’s AIOps capabilities, focusing on anomaly detection, forecasting models, correlation logic, and root-cause indicators. You will work closely with senior ML engineers and MLOps to build, test, and operationalize machine learning pipelines that process large-scale time-series and operational data.<br>This role is ideal for ML engineers who want to grow in time-series modeling, anomaly detection, and applied ML for real-world IT operations. </p><ul></ul><h3>Key Responsibilities:</h3><ul><strong>Core Model Development</strong> <br><ul><li>Design and implement anomaly detection and forecasting models (EWMA, Z-score, CUSUM, Seasonal Percentile, SARIMA). <br></li></ul><ul><li>Experiment with LSTM, Transformers, or other deep learning architectures for time-series analysis. <br></li></ul><ul><li>Develop correlation logic and root-cause indicators for AIOps insights. <br></li></ul><strong>Data &amp; Synthetic Modelling</strong> <br><ul><li>Build synthetic data modules to simulate operational scenarios and anomalies. <br></li></ul><ul><li>Preprocess and analyze time-series datasets for modeling and evaluation. <br></li></ul><strong>Pipeline &amp; </strong><strong>MLOps Collaboration </strong><br><ul><li>Work with the MLOps team to operationalize ML models into production pipelines. <br></li></ul><ul><li>Assist with model deployment, monitoring, and performance tuning. <br></li></ul><ul><li>Document experiments, results, and model behaviors clearly. <br></li></ul></ul><h3>Key Requirements:</h3><ul><ul><li>&gt;1 to 5+&nbsp;years of experience in ML engineering or applied machine learning. <br></li></ul><ul><li>Strong understanding of anomaly detection algorithms<br></li><li>Proficiency in <strong>Python</strong> and ML frameworks</li><li>Experience with model evaluation, metric design, and ML experimentation</li><li>Familiarity with time-series libraries (statsmodels, Prophet, etc.).</li><li>Knowledge of production ML (MLOps concepts, monitoring, pipelines).</li><li>Understanding of IT Operations and AIOps data types (metrics/logs).</li><li>Basic experience with cloud or containerized environments.</li></ul></ul><h3>What We Offer:</h3><ul><li><strong>Innovative Environment:</strong> A dynamic and collaborative work environment where innovation is encouraged.</li><li><strong>Professional Growth:</strong> Opportunities for professional growth and development through continuous learning and exposure to cutting-edge technologies.</li><li><strong>Competitive Package:</strong> Competitive salary and benefits package</li><li><strong>Impactful Work: </strong>The chance to work on cutting-edge projects with industry-leading clients, making a tangible impact on their business success.</li></ul><p><strong><em>Apply now!</em></strong></p><p><em>Due to the high volume of applicants, only shortlisted candidates will be contacted. We apologize for this inconvenience!</em></p>