Job Description
Inviting applications for the role of Senior Principal Consultant, Data Engineer-ML!
In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers.
Responsibilities
Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products
Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers
Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services
Build and implement machine learning models and prototype solutions for proof-of-concept
Scale existing ML models into production on a variety of cloud platforms
Analyze and resolve architectural problems, working closely with engineering, data science and operations teams.
Design and develop data pipelines: Create efficient data pipelines to collect, process, and store large volumes of data from various sources.
Implement data solutions: Develop and implement scalable data solutions using technologies like Hadoop, Spark, and SQL databases.
Ensure data quality: Monitor and improve data quality by implementing validation processes and error handling.
Collaborate with teams: Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
Optimize performance: Continuously optimize data systems for performance, scalability, and cost-effectiveness.
Experience in GenAI project
Qualifications we seek in you!
Minimum Qualifications / Skills
Bachelor%27s degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field
Master's degree is a plus
Integration - APIs, micro-services and ETL/ELT patterns
DevOps (Good to have) - Ansible, Jenkins, ELK
Containerization - Docker, Kubernetes etc
Orchestration - Airflow, Step Functions, Ctrl M etc
Languages and scripting: Python, Scala Java etc
Cloud Services - AWS, GCP, Azure and Cloud Native
Analytics and ML tooling - Sagemaker, ML Studio
Execution Paradigm - low latency/Streaming, batch
Preferred Qualifications/ Skills
Data platforms - Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.)
Visualization Tools - PowerBI, Tableau
No Referrers Available
There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.