Machine Learning Engineer Azure ML

Job ID: Pyt-ETP-Pun-782

Location: Pune

As a Data Science/Machine Learning Developer, you will be responsible for developing, implementing, and optimizing machine learning models and algorithms. You will work closely with cross-functional teams to deliver impactful data-driven solutions. The ideal candidate will have extensive experience in Python, PySpark, and Azure Machine Learning Studio.

Must Have Skills
 Minimum 4 years of experience in developing Machine Learning projects.
 Strong knowledge of machine learning and data science tools, including proficiency in Python.
 Knowledge in Machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
 Data preprocessing libraries (e.g., Pandas, NumPy).
 In-depth understanding of machine learning algorithms such as regression, classification, clustering, and neural networks.
 Utilize Python and PySpark for data manipulation, analysis, and model development.
 Leverage Azure Machine Learning Studio to manage, deploy, and monitor machine learning models.
 Participates in architectural, design & code reviews while establishing and maintaining best practices.
 Collaborate with data engineers, analysts, and stakeholders to understand business requirements and translate them into technical solutions.
 Design, develop, and deploy machine learning models and algorithms to solve complex business problems.
 Conduct exploratory data analysis (EDA) to uncover patterns, anomalies, and insights from data.
 Evaluate and optimize machine learning models for accuracy, performance, and scalability.
 Develop and maintain documentation for model development processes and workflows.
 Stay updated with the latest advancements in machine learning, data science, and related technologies.

Preferred Skills
 Familiarity with deep learning techniques such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
 Familiarity with other cloud platforms such as AWS or Google Cloud Platform.
 Experience with deep learning frameworks such as TensorFlow or PyTorch.
 Knowledge of SQL and experience with relational databases.
 Understanding of MLOps practices and tools.

Professional Skills
 Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field.
 Proven experience as a Data Scientist/Machine Learning Developer or similar role.
 Strong proficiency in Python for data analysis and machine learning.
 Extensive experience with PySpark for large-scale data processing.
 Hands-on experience with Azure Machine Learning Studio for model development and deployment.
 Solid understanding of machine learning algorithms, statistical methods, and data preprocessing techniques.
 Experience with version control systems like Git.
 Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
 Excellent communication and interpersonal skills.
 Should have a prior experience of discussing approaches with client and providing solutions.
 The candidate should have an ability to work in a team environment as well as work individually, should be a self-starter.
 Excellent communication skills (verbal and written).
 Should possess time management skills and should be able to work under serious deadlines.,