Azure Data Scientist – AI & ML

November 20

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Smart Working

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B2B • SaaS • Recruitment

Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.

51 - 200 employees

🤝 B2B

☁️ SaaS

🎯 Recruiter

📋 Description

• Work directly with business stakeholders to design and deliver end-to-end machine learning solutions aligned with operational and governance standards. • Prepare and transform datasets for modelling using Python and Azure-native tools, ensuring data quality and consistency across the ML lifecycle. • Build, evaluate, and deploy models using AutoML, MLflow, and custom pipelines, focusing on performance, scalability, and maintainability. • Implement monitoring and retraining strategies to detect drift and maintain model accuracy over time. • Apply responsible AI principles — fairness, explainability, and privacy — throughout model development. • Collaborate with cross-functional teams to integrate ML and AI solutions into business workflows, enhancing decision-making, engagement, and productivity. • Support clients in maintaining and optimising Azure ML environments for reproducible experimentation and efficient deployment. • Contribute to MLOps implementation, including CI/CD pipelines, model registry, and environment management across dev/test/prod environments. • Work with tools such as Azure DevOps, GitHub Actions, Azure Storage, and Power BI/Fabric to ensure solutions are production-ready and observable. • Stay current with emerging Azure AI technologies, contributing to the continuous improvement of our machine learning practices.

🎯 Requirements

• Microsoft Certified: Azure Data Scientist Associate (DP-100) — mandatory. • 2+ years of experience in applied machine learning or data science, delivering production-grade ML solutions. • Hands-on experience designing, training, and deploying models using Azure Machine Learning (AML), AutoML, and MLflow. • Proficiency in Python, pandas, and scikit-learn for feature engineering, model training, and rigorous validation. • Proven ability to deploy models to real-time REST endpoints and orchestrate batch inference pipelines. • Experience implementing MLOps practices, including CI/CD pipelines, model registries, and automated retraining. • Understanding of Azure cloud and data engineering concepts, including compute, storage, and orchestration services. • Strong collaboration skills — able to work with subject matter experts to translate business processes into ML opportunities with measurable impact. • Excellent communication and problem-solving abilities, with confidence engaging technical and non-technical audiences. • Knowledge of responsible and ethical AI frameworks, ensuring transparency and compliance in model development.

🏖️ Benefits

• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter) • No Weekend Work: Real work-life balance, not just words • Day 1 Benefits: Laptop and full medical insurance provided • Support That Matters:Mentorship, community, and forums where ideas are shared • True Belonging: A long-term career where your contributions are valued