Job Location: Hyderabad/Secunderabad
Responsibilities
- Work with data scientists, data analysts to design best-suited, robust, and scalable ML solutions and evaluate the deployed ML model s effectiveness.
- Write robust production-level and well tested code and engage in code reviews.
- Build ETL pipelines with SQL and Python based technologies and platforms.
- Deploy ML model pipelines, scale through Big Data, optimize performance and automate fail-over.
- Own the machine learning pipeline end-to-end (data pipeline, model development and optimization, and insight delivery)
- Work with different technologies (Python, R, shell scripts) and translate logic into well-performing SQL or other relational language and/or platform.
- Develop data products on SQL (Oracle, Snowflake) and Python on cloud platforms (AWS, GCP). Be prepared to learn new platforms and syntax with short ramp-up cycles.
- Scale and automate the current product using tools like Pyspark and Airflow
- Partner and communicate with stakeholders to plan the additional features to be added to the product scope on a monthly basis
- Acquiring, analyzing, and structuring large amounts of data to provide key business insights across disparate sources of data
- Continuously improve on existing processes, automate existing analyses, define standard methodologies, and provide thought leadership around product initiatives
- Using statistical tools/ML algorithms to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis of existing machine learning products
- Develop skills to integrate forward into a data scientist role and contribute to product innovation
- Be prepared for changes in business direction and understand when to adjust designs.
- Demonstrate operational excellence and a strong can-do attitude.
Job Requirements
- Bachelors degree in Computer Science or equivalent/related degree.
- 2+ years of experience in machine learning product development is a must
- Strong skills working with very large data sets with a variety of tools; experience in dealing with performance and scaling issues.
- At least 2 years of professional experience with SQL(Oracle and snowflake), Python, and technologies like airflow, Pyspark, etc
- Technical know-how about Data science and learning attitude to transcend into a Data scientist role in the long term
- Strong communication and negotiation skills to partner with stakeholders for product feature planning and roadmap
- Ability to prioritize and execute multiple tasks in a highly dynamic environment with a results-oriented mindset.
Strong problem solving with acute attention to detail and ability to meet tight deadlines and project plans. - Ability to work effectively in an unstructured and fast-paced environment both independently and in a team setting, with a high degree of self-management.
- Familiarity with Scrum/Agile project management methodologies.
- Strong team player to collaborate with other teams and make the product successful
- Laser-focused on impact, balancing effort to value, and getting things done.
Preferred Requirements:
- Should be an expert in Python, SQL, and automation technology
- Should have technical know-how about Data science and be willing to expand into a data scientist role in the long term
- Should have a strong learning attitude to learn and test new technologies and algorithms
- Should have good communication skills to partner and negotiate timelines with stakeholders
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