Need AI, ML, Azure and Python mandatory experience and it is onsite 5 days in a week role.
Responsibilities
- Analyze large data sets to identify trends, patterns, and insights that inform strategic decisions.
- Develop and implement machine learning models using frameworks such as TensorFlow.
- Deploy models into production environments, ensuring scalability and performance.
- Utilize analytics tools to visualize data findings and communicate results effectively to stakeholders.
- Conduct unsupervised learning techniques to discover hidden patterns in data.
- Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions.
- Stay updated with the latest advancements in data science, including natural language processing and quantum engineering.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree preferred.
- Proven experience with AWS for cloud-based model deployment.
- Strong understanding of machine learning concepts and frameworks.
- Proficiency in programming languages such as Python or R.
- Experience with natural language processing techniques is a plus.
- Familiarity with quantum engineering concepts is desirable but not mandatory.
- Excellent problem-solving skills and ability to work independently as well as part of a team.
- Strong communication skills to present complex information clearly to non-technical stakeholders.
Join us in harnessing the power of data to drive innovation and make informed decisions!
Job Type: Full-time
Pay: $120,406.00 - $129,889.00 per year
Schedule:
Work Location: In person
