The opportunity
We are seeking a seasoned Azure ML and Python Developer with 6-8 years of experience to join our innovative team. This role presents an exciting opportunity for individuals with a strong background in machine learning and cloud computing to lead and contribute to cutting-edge projects on the Azure platform.
Your key responsibilities
- Develop and deploy machine learning models on Azure cloud platform using Python programming language and Azure ML services.
- Design and implement scalable and efficient data pipelines for model training and inference.
- Collaborate with data scientists and business stakeholders to understand requirements and translate them into technical solutions.
- Implement best practices for ML development, including version control, testing, and documentation.
- Develop and maintain APIs on Azure cloud platform for model deployment and integration with applications.
- Monitor and optimize model performance, ensuring scalability, reliability, and security.
- Participate in code reviews, troubleshooting, and optimization to improve performance and maintainability.
- Stay updated with industry trends and best practices in machine learning, cloud computing, and API development.
- Mentor junior team members, sharing expertise and guiding them in technical challenges.
- Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to deliver end-to-end solutions.
- Conduct regular evaluations and assessments of ML models and APIs, identifying areas for improvement and optimization.
- Lead and contribute to innovation initiatives, exploring new technologies and approaches to enhance our ML and cloud capabilities.
Soft Skills
- Bachelors degree in computer science, data science, or related field.
- 6-8 years of experience in machine learning, data engineering, and cloud computing, with a strong focus on Azure services.
- Proficiency in Python programming language for ML model development and deployment.
- Experience with Azure ML services, Azure data services (e.g., Azure Data Lake, Azure SQL Database), and Azure cloud infrastructure.
- Strong understanding of machine learning concepts, algorithms, and techniques, including supervised and unsupervised learning, deep learning, and natural language processing.
- Expertise in designing and implementing data pipelines for ML model training and inference, using tools like Azure Databricks, Azure Data Factory, and Azure Synapse Analytics.
- Familiarity with cloud-native technologies, containerization (e.g., Docker, Kubernetes), and DevOps practices for ML model deployment and automation.
- Experience with version control systems (e.g., Git/GitHub), CI/CD pipelines, and software engineering best practices for ML projects.
- Strong analytical and problem-solving skills, with the ability to analyze complex data sets, identify patterns, and derive meaningful insights.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Proactive mindset, self-driven, and eager to learn new technologies and methodologies in the ML and cloud computing space.
- Ability to work in a fast-paced environment, manage multiple priorities, and deliver high-quality results under tight deadlines.
To qualify for the role, you must have
- A bachelors or masters degree in computer science, data science, or related field.
- 6-8 years of hands-on experience in machine learning, cloud computing, and API development, with a focus on Azure services.
- Proficiency in Python programming language for ML model development and deployment, along with experience using Azure ML services and Azure cloud infrastructure.
- Strong communication skills, both verbal and written, with the ability to articulate technical concepts effectively to diverse audiences.
- Proven track record of successfully delivering ML projects, designing scalable data pipelines, and collaborating in cross-functional teams.
- Certifications such as Microsoft Certified Azure AI Engineer Associate, Microsoft Certified Azure Data Scientist Associate, or equivalent, are highly desirable.
- Experience with other cloud platforms (e.g., AWS, Google Cloud Platform) and additional programming languages (e.g., R, Java) is a plus.
Ideally, you ll also have
- Analytical ability to manage multiple ML projects simultaneously, prioritize tasks effectively, and make data-driven decisions.
- Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills and initiative.
- Familiarity with advanced ML techniques and frameworks (e.g., TensorFlow, PyTorch) for deep learning and computer vision applications.
- Knowledge of cloud security principles, data governance, and regulatory compliance frameworks relevant to ML and cloud environments.
- Experience with Big Data technologies (e.g., Apache Spark, Hadoop) for processing large-scale datasets and building ML models at scale.
