ML Engineer

✅ 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.