We are looking for a Machine Learning (ML) Data engineer who will partner with application teams and assist with data analysis and research; conducting tactical data extracts and build balanced ML and Data pipelines; deploy AI/ML models and build reports to measure deployed model efficiency.
Key Responsibilities:
Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Finding available datasets online that could be used for training
Defining validation strategies
Defining the preprocessing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyperparameters
Analyzing the errors of the model and designing strategies to overcome them
Deploying models to production
Required
Hands-on experience in Data Warehouse, ETL, Data Modeling & Reporting.
7+ years of hands-on experience in productizing and deploying Big Data platforms and applications, Hands-on experience working with: Relational/SQL, distributed columnar data stores/NoSQL databases, time-series databases, Spark streaming, Kafka, Hive, Redshift and more
Familiarity with data pipelines and ML pipelines right from Data Extraction to Insights generation
Highly skilled in SQL, Python, Spark, AWS S3, Hive Data Catalog, Parquet, Redshift, Airflow, and Tableau or similar tools.
Proven experience in building a Custom Enterprise Data Warehouse or implementing tools like Data Catalogs, Spark, Tableau, Kubernetes, and Docker
D
Experience
7 - 10 Years
No. of Openings
2
Education
B.Com, Post Graduate Diploma
Role
Data Engineer
Industry Type
IT-Hardware & Networking / IT-Software / Software Services
Gender
[ Male / Female ]
Job Country
India
Type of Job
Full Time
Work Location Type
Work from Office
Face interview location
Finalcial District,Hyderabad