As a Machine Learning Engineer-II here at Digital IT, Honeywell, you will provide expert-level technical leadership in the design and development of machine learning algorithms, models, and systems. You will be responsible to deliver technical machine learning projects and exploring and implementing methodologies and best practices. You’ll work out of our Hyderabad, India on a Hybrid work schedule.
In this role, you will impact critical machine learning initiatives and drive technical excellence within the organization. This is a unique opportunity to play a key role in shaping the future of machine learning technology within a company known for its commitment to excellence. Let's shape the future together!
YOU MUST HAVE
• Bachelor of Technology in Computer Science & Engineering
• 4-6 years of strong experience with the following machine learning topics: classification, clustering, optimization, deep learning, NLP with Python in a programming intensive role.
4-6 years of strong experience in Python / PySpark coding
3-5 years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.).
3-5 years of strong experience in Azure Databricks/Azure AWS
• 2-4 years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
2-4 years of experience with CI/CD Dev Ops process
WE VALUE
Proficient in Snowflake, Database Concepts
Proficient in Azure Data Factory
Exposure to Agile Methodology process
• Proficient in MLOps Stacks to deploy the models like Azure ML, Databricks etc.
• Proficient in Databricks Unity Catalog,
• Proficient in storage solutions such as Azure ADLS, Postgres SQL, Delta Table etc
Proficient in containerization services
• An effective communicator – you shall be an ambassador of Honeywell AI initiatives and could explain technical concepts to a non-technical audience.