Sr Data analytics and AI Expert

Location

Bhilai, Raipur, Chhattisgarh | India

Job description

Overview

The Senior Data Analytics and AI Expert plays a crucial role in our organization providing advanced expertise in data analysis and artificial intelligence. They are responsible for designing and implementing AI solutions to extract insights from large datasets driving informed decisionmaking and innovation.

Key Responsibilities

• Lead the development and execution of AI strategies to drive business growth and optimize operations.
• Design and implement complex data models algorithms and automated AI systems.
• Utilize machine learning techniques to develop predictive models and optimize processes.
• Implement data mining and statistical analysis to derive actionable insights from large complex data sets.
• Collaborate with crossfunctional teams to integrate AIdriven solutions into various business operations.
• Conduct thorough analyses to identify trends patterns and correlations within data sets.
• Maintain and enhance existing AI models ensuring their accuracy and reliability.
• Construct and maintain AI pipelines for data acquisition validation and cleaning.
• Stay updated on the latest AI and data analysis technologies and best practices.
• Communicate complex technical findings and AIdriven insights to nontechnical stakeholders.
• Provide mentorship and guidance to junior data analysts and AI professionals.
• Contribute to the development and maintenance of a robust data infrastructure.
• Identify and address potential data quality issues or gaps within the organization.
• Participate in the evaluation and adoption of new AI tools and platforms.
• Collaborate with IT teams to ensure seamless integration of AI solutions with existing systems.

Required Qualifications

• Computer Science Statistics Data Science or a related field.
• Proven experience as a data scientist data analyst or AI expert.
• Demonstrated expertise in machine learning deep learning and neural networks.
• Proficiency in programming languages such as Python R or Java.
• Strong background in statistical analysis and data visualization.
• Experience with big data platforms and tools such as Hadoop Spark or Kafka.
• Excellent understanding of AI frameworks and libraries such as TensorFlow and PyTorch.
• Advanced knowledge of cloud computing platforms and services such as AWS or Azure.
• Ability to develop and deploy scalable AI solutions in production environments.
• Solid understanding of data management data governance and data security principles.
• Exceptional problemsolving and critical thinking skills.
• Strong communication and collaboration abilities in crossfunctional teams.
• Experience in leading AI projects and managing AIfocused teams.
• Proven track record of leveraging AI to drive tangible business outcomes.
• Ability to thrive in a fastpaced dynamic environment and manage multiple priorities.

data analytics,machine learning,statistical analysis,platforms,models,data,artificial intelligence

Job tags

Salary