Role Python Developer
Location: AIA-Pune
Exp: 6 to 9 years
Job Summary
We are seeking a skilled Developer with 6 to 8 years of experience to join our team. The ideal candidate will have expertise in Generative AI Azure Databricks Azure Data Factory and Azure ML Studio. This role involves working in a hybrid model focusing on AI and ML concepts and contributing to innovative projects that drive our companys success. The position does not require travel and operates during the day shift.
Responsibilities
- Develop and implement advanced AI and ML models using Generative AI and Azure ML Studio to enhance business processes and decision-making.
- Collaborate with cross-functional teams to design and deploy scalable solutions on Azure Databricks and Azure Data Factory.
- Utilize ML Ops to streamline machine learning workflows ensuring efficient model deployment and monitoring.
- Leverage Docker for containerization to ensure consistent and reliable application deployment across environments.
- Apply AI and ML concepts to solve complex business challenges and improve operational efficiency.
- Integrate Terraform for infrastructure as code to automate and manage cloud resources effectively.
- Utilize GIT for version control to maintain code integrity and facilitate collaborative development.
- Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.
- Provide technical expertise and guidance to junior developers fostering a culture of continuous learning and improvement.
- Stay updated with the latest advancements in AI and ML technologies to drive innovation within the team.
- Document processes and methodologies to ensure knowledge sharing and maintain project transparency.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Contribute to the companys mission by developing AI-driven solutions that have a positive impact on society.
Qualifications
- Possess strong experience in Generative AI Azure Databricks and Azure Data Factory.
- Demonstrate proficiency in Azure ML Studio and ML Ops for efficient model management.
- Have a solid understanding of AI and ML concepts with practical experience in machine learning and artificial intelligence.
- Experience with Docker for application containerization and deployment.
- Familiarity with Terraform for managing cloud infrastructure.
- Proficient in using GIT for version control and collaborative development.
- Strong problem-solving skills and the ability to work effectively in a hybrid work model.
