Senior Software Engineer
1 month ago
OverviewWe are seeking an experienced and skilled Senior Machine Learning Python Developer to join our dynamic team. As a proficient machine learning practitioner, you will play a pivotal role in designing, implementing, and optimizing cutting-edge machine learning algorithms and models. Your expertise in Python programming and machine learning libraries will be integral in driving high-performance and accurate solutions.
ResponsibilitiesLead the end-to-end development of machine learning solutions, from problem definition to deployment and monitoring.Utilize your strong Python knowledge to
design and implement machine learning algorithms and models
, ensuring high performance and accuracy in various applications.Leverage your extensive experience with popular
machine learning libraries
such as scikit-learn, PyTorch, TensorFlow, and Geopandas to build, fine-tune, and enhance transformer and sentence transformer models.Deploy NLP models at scale by developing and managing APIs, optimizing performance, and parallelizing computations to handle large-scale data processing efficiently.Demonstrate proficiency in querying PostgreSQL/MongoDB databases, executing REST API calls, and crafting OpenSearch queries to extract, transform, and manipulate data for effective model training and evaluation.Apply your expertise in building data analytics models using supervised and unsupervised machine learning techniques, statistical analysis, and predictive modeling to derive actionable insights.Utilize your familiarity with various operating systems (., Windows, UNIX) and databases (., PostgreSQL/MongoDB) to ensure cross-platform compatibility and efficient data integration.GIS Knowledge will be an added advantage.
QualificationsBachelor's or master’s degree in computer science, Machine Learning, Data Science, or related fields.Total 5- 9 years of experience with a minimum of 3 years of professional experience as a
Machine Learning Developer
, with a strong emphasis on
Python development.Proven track record of
designing, implementing, and optimizing machine learning algorithms and models for real-world applications.Extensive experience with
machine learning libraries
such as scikit-learn, PyTorch, TensorFlow, and Geopandas, with a focus on transformer and sentence transformer models.Proficiency in
deploying NLP models
at scale, including API development, performance optimization, and parallel computing.Solid skills in querying PostgreSQL/MongoDB databases, executing REST API calls, and crafting OpenSearch queries..Experience working with agile methodologies, CI/CD workflows, and version control systems is good to haveOne Machine Learning project – Complete SDLC experience is a must.
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