An energetic person, who will be key part of Carrier Engineering HVAC Product Analytics team, working with Data Analysts, AI/ML Specialists, Domain Experts, Digital Team and Product Managers to evaluate, implement and maintain best practices in model/software quality assurance and continuous improvement, ensuring the Analytics models created and insights generated meet the highest standards of quality and reliability
Essential Responsibilities
Reviews of design and functional specifications/Algorithms created by Data Analytics, AI/ML Engineers and Domain Experts to understand analytics for predictive maintenance
Creation and review of Test scenarios, Test cases, and Test Automation/Frameworks
Oversee software/Analytics model quality process, leading continuous process improvement to align with rapidly evolving industry, striving for optimized effectiveness and efficiency
Conduct thorough reviews of Physics/Data Driven/ML model outputs and ensure alignment with expected results
Coordinate with Digital vertical for data pipelines development for live data streams, monitor the dataflow pipelines and validate the deployed analytics algorithms in cloud environment
Use of Python to test ETL frameworks, Data Pre/Post processing, API interactions and generated insights and reports after the Analytics deployment in cloud platform
Generate and report quality / performance metrics, test results, and status reports to stakeholders communicate effectively with development, product management and aftermarket teams on quality related matters
Required Skills
Qualifications: BE/ME or BTech/MTech Electronics or BE/BTech in Electronics or ME/MTech in computer Science with 6+ years of experience in below areas: -
Understanding of Data Science Concepts and AI/ML based analytics techniques
Strong hands-on experience in Python, Experience in the development of automation scripts in Python
Experience in working with Azure, AWS and Lambda APIs, pipelines with AWS Glue jobs, Cloud watch, Amazon Redshift and other stack services
Hands-on experience using RDBMS SQL NoSQL databases like Oracle, SQL Server, Snowflake, MongoDB, DynamoDB etc Strong hands-on experience in Advanced Excel VB Scripts
Experience with Docker and Kubernetes
Solid knowledge of software quality operating procedures and SOP development and tools such as JIRA, Confluence, GitHub
Experienced in DevOps tools for Continuous Integration and Continuous Deployment
Excellent verbal written communication skills as well as presentation skills, need to be a critical thinker and a self-starter
Preferred Skills
Experience in developing visualizations using Power BI, experience in Power Query Power Automate
ML frameworks and libraries knowledge (TensorFlow, Spark, PyTorch, mlpack)
Ability to build/maintain MLOps pipelines comMON DESIRABLE COMPETENCIES
Candidate must conduct business in an ethical manner, self-motivated, detail-oriented, and able to work independently with little supervision
Know how/where to get answers and overcomes obstacles
Highly driven, strong communicator who is able to understand customer requirements and project goals and is able to balance multiple priorities
Work in a team environment when required and produce results in a timely manner
Possess a positive attitude, show enthusiasm, take pride in the work, be results driven, keen to learn, creative and efficient