Machine Learning Expert.
Machine learning expert, Full Time
We are looking for a Data scientist or Machine learning expert with minimum 2.5 years experience in supervised machine learning algorithms like Models, Ensembles, Logistic Regressions, Neural Networks with Python or R language.
Responsibilities:
- Design new machine learning models for the organization’s product suite
- Implement machine learning models and fine-tune them for different use cases.
- Solve complex business problems of global organizations by applying NLP, AI and Machine Learning techniques
- Systemic study of the latest research and industry developments in Artificial Intelligence. Leverage these developments to solve real-world business problems
- Work closely with Software Engineers & Data Scientists to build the data infrastructure that fuels the needs of multiple teams, systems, and products
- Automate manual processes, optimize data-delivery and build the infrastructure required for optimal extraction, transformation, and loading of data required for a wide variety of use-cases using SQL/ETL
- Design competitive AI/ML services and user experience for next-generation devices and create prototypes for demonstration
- Build realtime and batch analytics platform for analytics & machine-learning
- Design, develop, test, deploy, maintain and improve ML models/infrastructure and software that uses these models
- Create algorithms to extract information from a large data set to perform statistical analysis and analyze the same to create predictive models for consumer behavior
Technical Skills:
- Technical knowledge on existing AI/ML platforms, Statistical tools as R, Python, Saas (at least one technology platform)
- Understands Data very well and has extensive Data Modelling experience
- Deep understanding of real-time as well as batch processing big data technologies (Spark, Storm, Kafka, Flink, MapReduce, Yarn, Pig, Hive, HDFS, Oozie etc)
- Experience in developing applications that work with NoSQL stores (e.g., ElasticSearch, HBase, Cassandra, MongoDB, CouchDB)
- Practical experience using multivariate and/or ML methods for classification, clustering and estimation, such as Decision Trees, Random Forests, CART/CHAID, Extreme Gradient Boosting, Ridge Regression, PCA and SVM
- Should be an expert in handling various data types and structures: structured, unstructured, voice, image and video data, static versus streaming data. Extensive prior experience in integrating data, profiling, validating and cleansing data in Big Data platforms is a must
- Strong background with advanced mathematical concepts related to Probabilistic Models, Linear Algebra, Calculus, and Optimization
- Decent grasp of statistics concepts (mean, median, moments etc.)
- Good technical writing, reporting & communication skills
- Good experience with BigML APIs or frameworks such as Tensorflow
Preferred qualifications:
- Bachelors degree with a minimum of 2.5 years of experience in Artificial Intelligence, Data Science, Machine Learning, Deep learning and Natural Language Processing (NLP)
- Hands-on in Python or R and working knowledge of Data Science
- Expertise in using Neural Networks for complex pattern recognition
- Prior experience in working on Big Data environments
- Experience in Agile/Scrum development process