ML Engineer

Hyderabad, TG, India

Job Description

Responsibilities

- Ensure that Health and Safety is the number one goal by following policies, processes, and always acting in a secure manner.
- Implement, configure, and manage various Microsoft Azure solutions and services: You will be responsible for implementing and managing a variety of Azure solutions and services, including but not limited to Azure Machine Learning, Azure Databricks, and Azure Data Factory.
- Collaborate with IT teams and business units to design Azure architectures: You will work closely with other IT teams and business units to design and implement Azure architectures that meet the needs of the organization.
- Assist in the migration of data, and services to the Azure cloud platform: You will play a key role in migrating existing data, and services to the Azure cloud platform and integration to both Cloud and OnPrem Applications.
- Design the data pipelines and engineering infrastructure to support enterprise machine learning systems at scale: You will be responsible for designing and implementing data pipelines and engineering infrastructure that can support machine learning systems at an enterprise scale.
- Take offline models data scientists build and turn them into a real machine learning production system: You will work with data scientists to take their offline models and turn them into production-ready machine learning systems.
- Develop and deploy scalable tools and services for handling machine learning training and inference: You will develop and deploy tools and services that can handle machine learning training and inference at scale.

Qualifications

- A masters degree in computer science, Statistics, Mathematics, or a related field is required. A bachelors degree with significant relevant experience would suffice.
- 6+ years working in the IT industry with 4+ years of experience in data science, machine learning,



or a related field.
- Strong understanding of machine learning techniques and algorithms: You should have a strong understanding of various machine learning techniques and algorithms, including supervised and unsupervised learning, as well as deep learning.
- Experience with Microsoft Azures data services: You should have hands-on experience with various data services offered by Microsoft Azure, such as Azure Machine Learning, Azure Databricks, and Azure Data Factory.
- Familiarity with Azure Cognitive Services for integrating AI capabilities (like vision, language, and decision functionalities) directly into applications.
- Ability to work with large datasets and experience with data processing tools like SQL, Pandas, and big data technologies such as Apache Spark.
- Familiarity with version control systems like Git and development environments like Jupyter notebooks or VS Code and Azure DevOps (CI/CD) - MLOps process
- Experience with data pipelines and engineering infrastructure: You should have experience designing and implementing data pipelines and engineering infrastructure for machine learning systems.
- Deep Understanding of statistical models, machine learning algorithms, and big data technologies. Proven experience in deploying machine learning models into production.
- Proficiency in Python, .NET C#, API development
- Experience with SQL, NoSQL databases and Data Fabric architectures.
- Experience with machine learning frameworks like PyTorch, Tensorflow or Scikit-learn preferred.
- Knowledge of GenAI preferred.
- Strong communication skills to effectively collaborate with team members and stakeholders.
- Strong problem-solving skills and ability to think algorithmically.
- Ability to translate complex findings into a compelling narrative for non-technical stakeholders.
- Certifications like Microsoft Certified: Azure Data Scientist Associate or Microsoft Certified: Azure AI Engineer Associate will be preferred.

📌 ML Engineer (Hyderabad)
🏢 Clean Harbors
📍 Hyderabad