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Senior Engineer - Data Analytics
Carrier
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Collect data from IoT platform, perform data quality check and filtering techniques
- Organize large-scale data to the required formats for data analysis for different service business use cases.
- Data mining using state-of-the-art methods
- Selecting features, building and optimizing classifiers using machine learning techniques
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Develop tools of visualization and dashboard to illustrate the data analysis results.
- Support the development and implementation of end-to-end cloud-based AI/ML and Data Analytics solutions.
- Deploy analytics algorithms to the cloud-based IoT platform (e.g., Microsoft Azure, AWS etc.).
- Take ownership and responsibility of deliverables (might involve little bit of coding as well)
Required Skills/Education:
- Good knowledge of Data science life cycle
- Hands on experience in developing analytics approaches and solutions
- Expertise in Python, AI/ML libraries, ML, DL and problem solving
- Working experience on MLOps on cloud platforms like AWS/Azure.
- Knowledge of GenAI, LLM project implementation.
- Master s degree in computer science, Statistics, Math, or Engineering with 10+ years of experience
- Ph.D in Thermal, AI/ML/Data Analytics, Statistics, Math, or Engineering is a plus.
Job Description
- Lead the design, development, and deployment of machine learning models and algorithms.
- Manage and mentor a team of data scientists and engineers, fostering a collaborative and innovative environment.
- Collaborate with cross-functional teams to identify business problems and translate them into machine learning solutions.
- Oversee the data collection, preprocessing, and feature engineering processes.
- Conduct experiments and iterate on models to improve performance and accuracy.
- Stay current with the latest research and advancements in AI and machine learning technologies.
- Develop and implement best practices for code quality, testing, and deployment.
- Communicate findings and recommendations to stakeholders and technical teams effectively.
Employment Type: Full Time, Permanent
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(based on 32 Carrier interviews)
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Company Website
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19%
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6%
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What people at Carrier are saying
Rating based on 17 Senior Engineer
reviews
Anonymous · Software Development
in Hyderabad
Likes
Work life balance & growth
Dislikes
Nothing. Everything is good.
Read 17 reviewsSenior Engineer salary at Carrier
reported by
126
employees
with 4-8
years exp.
₹6
L/yr - ₹25
L/yr
58%
more
than the average Senior Engineer Salary in India
View more details
What Carrier employees are saying about work life
based on 438 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Carrier Benefits
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