Accenture | Let there be change
We embrace change to create 360-degree value
- Key Responsibilities : 1 Develop a long term vision for a highly scalable ML platform and spearhead the technical execution of that vision2 Own the full ML lifecycle for the products, from feature engineering to model training, deployment, and operation3 Adding value by leveraging and setting new trends in data engg through design, architecture and implementation4 Establish best practices and set up proper tooling to support them such as continuous integration, code quality, code reviews test coverage
- Technical Experience : 1 Strong programming skills in Python 2 Good knowledge in Big Data technologies e.g. EMR, Athena, Bigquery and experience using stream and batch processing frameworks e.g. Apache Spark, Apache Airflow 3 Solid experience in ML data engineering pipelining with libraries like scikit learn, Spark ML and PyTorch4 Experience with ML frameworks like Sagemaker, knowledge of Tensorflow5 Hands on experience in cloud technologies AWS, GCP.6 Container orchestration tools Kubernetes, Docker
- Professional Attributes : 1 A team player with ability to take complete ownership of tasks assigned2 Good communication and interpersonal skills.
- Educational Qualification : BE or B Tech or MCA or equivalent 4 year degree or PG in computers
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Our more than 600,000 people in more than 120 countries, combine unmatched experience and specialized skills across more than 40 industries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.