Sr. Software Engineer - Machine Learning

Key Skills

API, Applied Machine Learning, AWS, AWS Rekognition, AWS Sagemaker, Data Modeling, Java Programming, Keras software library, MLOps tools, NoSQL, Personalize, Python Programming, PyTorch, Scala Programming, Scikit-learn, Software Development, SPARK Programming, SQL, TensorFlow

Job Description

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, were a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Machine Learning Professionals in the following areas :

Job title: Data Engineering

Experience: 7-10 Yrs

Job Description:

• Need candidate with strong Machine learning experience, Strong in Scala, Spark, and pipeline.
• Experience in building data solutions, applications, and API using Databricks, SQL/NoSQL, Python, Java, Scala, Spark
• Experience building Data Engineering and Machine Learning Operations pipeline/flows in AWS cloud using infrastructure as code
• Proven experience developing and deploying machine learning models in production environments using AWS ML Stack (e.g., SageMaker, Personalize, Comprehend, Rekognition) and Open Source ML Stack (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
• Experience with MLOps tools and practices, including continuous integration, continuous deployment, and model monitoring.
• Experience with Agile development processes with Test Driven Development and/or Test Automation Technology: Data Engineering MLOps
• Analyze and organize raw data.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Interpret trends and patterns.
• Conduct complex data analysis and report on results.
• Prepare data for prescriptive and predictive modeling.
• Build algorithms and prototypes.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture