✅ Job Title: Machine Learning Engineer (ML Engineer / Data Scientist Hybrid) Location: Remote Duration: 6+ months (with potential extension) 📌 Job Description: We are seeking a skilled Machine Learning Engineer with strong Python programming and microservices experience to join our data-driven product development team. This is a hybrid role combining ML engineering and data science integration, focusing on operationalizing models, building scalable ML services, and managing ML infrastructure. 🚀 Key Responsibilities: • Maintain and optimize ML pipelines and infrastructure. • Develop and deploy model serving endpoints to production. • Translate data science requirements into scalable production-grade models. • Work directly with Product and Data Science teams to understand business use cases. • Troubleshoot and resolve data issues across ML workflows. • Serve as a liaison between ML engineers, product managers, and platform infrastructure teams. • Assist in rebuilding and maintaining the ML Platform and server infrastructure. • Rapidly adapt to new technologies and environments as needed. 🧠 Core Skills Required: • Strong experience in Python for ML and backend development. • Proficient in designing and building microservices. • Experience with model deployment and model serving architectures. • Good understanding of data workflows, pipelines, and infrastructure. 💡 Nice to Have: • Experience with Databricks, Apache Spark, or big data tools. • Background in retail, ecommerce, or consumer-focused industries. • Familiarity with ML platform and server/infrastructure components.