Building No: 12C, Floor 9,10,11, Building No: 12B -Stilt floor, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, India
Job Title Senior Lead Engineer Analytics QA
Preferred Location - Hyderabad, India
Full time/Part Time - Full Time
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Role Summary:
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.
Benefits
We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
Have peace of mind and body with our health insurance
Make yourself a priority with flexible schedules and leave Policy
Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.
Our commitment to you
Join us and make a difference.
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