Job Description

Leverage strong data science / engineering experience with cutting edge technologies in the relational, unstructured and cloud ecosystem and data lake/warehouse spaces to support and enable a true data driven company. To extract, transform, model and aggregate data that can scale to petabytes, elastically, with low latency and high availability

• Perform technical planning, architecture development and modification of specifications
• Develop specifications for new information technology products, applications and system service offerings
• Assess the compatibility and integration of IT products and services proposed as standards in order to ensure an integrated architecture across interdependent technologies

• A background in Computer Science, Engineering, Mathematics or Statistics.
• Good understanding of data exploration and interpretation, including feature selection, AB testing, Statistical hypothesis testing.
• Experience using data science related libraries such as Numpy, Sci-kit learn, Dask, NLTK, Computer Vision libraries like OpenCV etc
• Good knowledge of deep learning frameworks like Tensorflow, Keras, Pytorch.
• Good practical knowledge with Sequence Models in Deep Learning, like LSTMs, Transformers, etc.
• Experience developing and deploying predictive models and machine learning algorithms into production environments is desired. Train and Retrain ML systems and models. Tune and analyse AI/ML algorithms.
• Natural Language Processing / Understanding / Generation. A solid experience with solving NLP problems like intent/entity detection, sentiment analysis, NER etc. Should be good with Spacy (NLP)
• Good practical understanding and implementation experience of ML Ops and end to end deployment of AI/ML solutions.
• Experience and understanding of distributed database technologies/concepts. Strong knowledge in SQL and bash scripting.
• Experience integrating real-time data streaming including Spark and Kafka
• Experience with Cloud Infrastructure, Data Bricks, Kubernetes, Docker, GPU.
• A proficient Python /Java / Scala developer
• Experience in leading a team

• Experience with AWS/Azure and their suite of product offerings.
• Knowledge of database internals and optimizations.
• Knowledge of optimised data storage and serialisation formats.

• You are a data visionary that believes in the power and potential of being data driven
• Implement scalable and robust AI/ML systems computing on large volumes of datasets using a variety of open source and proprietary Data Science technologies
• Be willing to share your expertise and mentor less experienced engineers
• Able to work quickly and independently within a fast pace agile team