Description

You will design, develop, and deploy intelligent algorithms and data science products within a microservices architecture.

Responsibilities

• Develop and debug code using Python, Java, C, or C++.
• Design and evaluate intrinsic and extrinsic model performance metrics aligned with business goals.
• Define systems for building and deploying intelligent algorithms.
• Implement Natural Language Processing for Named Entity Recognition, Sentiment Analysis, and topic modeling.
• Manage and deploy infrastructure using Docker, Kubernetes, OpenStack, OpenShift, Azure, AWS, or GCP.

Required Skills

• 6+ years of hands-on experience with Microsoft Azure Cloud DW, Databricks, AI/ML, Azure ML, and Snowflake.
• Proficiency in Python, R, Scala, Spark, Java, and/or SAS.
• Expertise in machine learning techniques including deep learning, clustering, decision trees, classification, regression, and neural networks.
• Proficiency with SQL, NoSQL, Cassandra, and MongoDB.
• Experience with big data, Linux, and shell scripting.
• Strong knowledge of feature engineering and mining structured and unstructured data.
• Experience developing, testing, and deploying APIs and microservices.
• Proficiency with Spring Framework (Core, Integration, MVC, and SpringBoot).
• Familiarity with computational packages including TensorFlow, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, and NLTK.
• Experience with git version control.

Preferred Skills

• Familiarity with Latent Dirichlet Allocation.
• Experience with Matlab.

Key Skills

Education

Any Graduate