Vacancy expired!
Job Description
- Participate in developing and implementing ML/DL solutions in real-world environments
- Ability to digest, design and deploy solutions based on research artifacts
- Minimize the technical, operational, and economic barriers relative to adoption of sophisticated AI solutions
- Support Data Visualizationimprovements
- Designing solutions at scale (minimize operational overhead)
- Create and maintain optimal data pipeline architecture
- Identify and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Actively incubate new technologies and tools for big data initiatives
- Build, maintain and execute unit test cases with high coverage
- Work closely with other data and analytics team members to optimize the company's data systems and pipeline architecture
- Track emerging technologies in the industry, and provide technology recommendations, risk assessments, trade studies, and analyses
- 2+ Years of experience programming in Python and Java
- Very strong background in Machine Learning/Deep Learning
- Proven experience in Cloud Technologies such as Pivotal Cloud Foundry and Docker platforms.
- Minimum of 2 years developing & optimizing AI/ML models, in recommendation engine, natural language processing, computer vision and deep & classical machine learning, and information retrieval and extraction
- Minimum of 2 years in working with data science tools (e.g. - TensorFlow, PyTorch, scikit-learn, pandas, numpy and experience in developing on cloud platforms, preferably Pivotal Cloud Foundry)
- Knowledge inApache Spark, Kafka, Hadoop
- Experience with Machine Learning Model.
- Understanding of databases, advanced SQL and NoSQL databases
- Strong analytical skills and the ability to think creatively.
- Experience in Apache NiFi is a Plus
Vacancy expired!