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

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