AddressWe are looking for an expert in Machine Learning to help us extract value from our data, and lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
Ours is a data-intensive project demanding heavy analytics and normalization of textual, numeric, and image data.
JOB RESPONSIBILITIES :
- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
- Develop scalable infrastructure that automates training and deployment of ML models
- Managing available resources such as hardware, data, and personnel so that deadlines are met
- Data visualizations and data comprehension
- Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
- Work with and mentor fellow Data and Software Engineers to build other parts of the infrastructure
- Effectively communicating your needs and understanding product challenges.
- Building core of Artificial Intelligence and AI services such as Decision Support, Vision, Speech, Text, NLP, NLU, and others.
- Leverage Cloud technology - AWS or similar technology.
- Experiment with ML models in Python using Machine Learning libraries, Big Data, Hadoop, HBase, Spark, etc.
Requirements
- SQL, Any NO-SQL database like MongoDB, ElasticSearch
- Data Visualization tools like Kibana
- Expertise in visualizing big datasets, monitoring data, familiar with implementing anomaly detection
- Proficiency with deep learning frameworks
- Proficiency with Python and basic libraries for Machine Learning
- Familiarity with Linux
- Ability to select hardware to run an ML model with the required latency
- Any one cloud technology - AWS, Google Cloud or similar technology
- Python using Machine Learning libraries (Pytorch, Tensorflow), Big Data, Hadoop, HBase, Spark, etcDeep understanding of data structures, algorithms, and excellent problem-solving skills.
QUALIFICATIONS :
- Master's degree (preferred) in computer science, Statistics or Mathematics, artificial intelligence, Machine Learning, speech recognition, natural language processing, operations research, or related technical field.
- 3-5 years of Experience designing and implementing Machine Learning models in production environments.
PREFERRED :
- Having an impressive set of GitHub projects or contributions to open-source technologies is a plus
- Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies
