Job Description
Looking for a Python engineer with 0-3Months of experience in building AI Data Sciences as a Data Scientist to build and deploy the Advanced Digital Solutions on Cloud Platform. Ideal candidate must have hands-on development experience in Python, and Web Services, to build and deploy AI applications using Machine Learning, NLP and Deep Learning algorithms. Should be able to understand the problem statement, Data and build the most optimal solution to address the problem statement.
Roles & Responsibilities
- Understanding the Problem statement and crafting a digital solution. Hands-on in Design and engineering for data ingestion, pipeline, data preparation & orchestration, applying the right ML algorithms on the data stream and predictions.
- Develops and implements machine learning and NLP models using Python, which is a must-have skill for this role.
- Experience in languages, tools & technologies such as Python, Tensorflow, Pytorch, Kubernetes, Docker, etc
- Follow DevOps methodology and PEP standards to build the AI Solutions.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Collaborates with cross-functional teams to understand business requirements and develop AI solutions.
- Designs and develops applications using Django framework, a good-to-have skill.
- Implements microservices architecture to build scalable and efficient systems.
- Ensures the quality of the developed solutions through rigorous testing and debugging.
- Participates in code reviews to ensure adherence to coding standards and best practices.
- Optimizes existing systems for improved performance and efficiency.
- Troubleshoots and resolves technical issues in a timely manner.
- Collaborates with the project management team to ensure timely delivery of projects.
Technical Skills
Must Have Skills & Experience
- Experience in implementing and deploying Machine Learning and NLP solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.)
- In depth knowledge and expertise in building the NLP based solutions using the Advanced NLP techniques such as Attention based transformers, etc
- Hands-on expertise in building Deep Learning techniques using Neural Networks (ANN, CNN, RNN, LSTM, etc)
- Experience in building Python Microservices
- Expertise in building the webservices using Flask, Django frameworks
- Strong hands-on experience with statistical packages and ML libraries (e.g. R, Python scikit learn, Spark MLlib, etc.)
- Hands-on experience in following DevOps methodologies and Agile framework
Good to have Skills
- Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra, Hbase, Hive, HDFS Work experience as Solution Architect/Software Architect/Technical Lead roles
- Experience with open source software.
- Excellent problem-solving skills and ability to break down complexity.
- Ability to see multiple solutions to problems and choose the right one for the situation. Excellent written and oral communication skills.
- Experience in building the Cloud native and Cloud deployable solutions on Azure, AWS.
Skills: data,python,building,learning,nlp,skills,cloud,machine learning,models,advanced,python software foundation
