ML Engineer

<p><b>Job Description:</b></p> <div> </div> <div> <ol start="1"> <li> <p>Experience in deploying ML models to production</p> </li> <li> <p>Understanding of MLOps, CI/CD, APIs, containers, and orchestration tools</p> </li> <li> <p>Good grasp of system design, scalability, reliability, and performance</p> </li> <li> <p>Experience in machine learning concepts; especially timeseries forecasting techniques.</p> </li> <li> <p>Proficient in SQL and Python for data querying, analysis, and automation</p> </li> <li> <p>Solid understanding of statistical concepts (e.g., descriptive statistics, probability, hypothesis testing, regression)</p> </li> <li> <p>Experience with at least one major cloud platform (AWS, Azure, or Google Cloud) is desirable</p> </li> <li> &l...