Company :: Dikshatek
Years of experience :: 3 +
Job Description ::
Job Description
Design, develop, and implement machine learning and statistical models tailored for innovative application features.
Work closely with application development teams to integrate models and data-driven features into production systems.
Write clean, efficient, and scalable code primarily using Python for model training, deployment, and automation.
Utilize and manage cloud resources on AWS and/or Azure for data storage, processing, and
model deployment (e.g., using services like SageMaker, Azure ML, or cloud-based data
warehouses).
Rapidly prototype and develop end-to-end data products and proof-of-concept (POCs) that solve emerging business challenges.
Communicate complex methodologies and results effectively to both technical and non-technical stakeholders.
Requirements
Minimum 3 years of professional experience in Data Science, Machine Learning Engineering, or Application Development involving data integration.
Expert proficiency in Python and its scientific libraries (e.g., Pandas, NumPy, Scikit-learn,
TensorFlow/PyTorch)..
Hands-on experience working with at least one major cloud platform, preferably AWS or Azure, including understanding of their data and compute services.
Solid understanding of software development principles, version control (Git), and model
deployment/monitoring best practices.