Data Analyst - Generative AI & AWS Cloud

As a Data Analyst for GenAI & AWS Cloud, your role will revolve around analyzing large-scale datasets to uncover actionable insights and developing predictive and generative models using machine learning and GenAI techniques. You will design and evaluate experiments to assess the impact of product and process changes, collaborating with engineering teams to integrate AI/ML solutions into scalable cloud-based applications. Additionally, you will be responsible for building and fine-tuning GenAI models for business use cases, leveraging AWS services for model training, deployment, and monitoring, and implementing secure data pipelines using AWS Glue, Redshift, and Athena.

Your key responsibilities will include:

• Analyzing large-scale datasets to uncover actionable insights
• Developing and deploying predictive and generative models using machine learning and GenAI techniques
• Designing and evaluating experiments to assess the impact of product and process changes
• Collaborating with engineering teams to integrate AI/ML solutions into scalable cloud-based applications
• Building and fine-tuning GenAI models for business use cases
• Leveraging AWS services for model training, deployment, and monitoring
• Implementing secure and efficient data pipelines using AWS Glue, Redshift, and Athena
• Creating compelling dashboards and visualizations using tools like Power BI or Tableau
• Translating complex data insights into clear, actionable recommendations for stakeholders
• Working cross-functionally with product, engineering, and business teams to ensure successful AI solution delivery
• Mentoring junior analysts and data scientists on best practices in GenAI and cloud-based analytics
• Staying updated with the latest trends in GenAI, AWS services, and data science
• Continuously monitoring and optimizing model performance in production environments
• Contributing to the development of internal AI/ML frameworks and reusable components

Qualifications required for this role include:

• Bachelors or Masters degree in Computer Science, Data Science, or AI
• 4+ years of experience in data analysis, machine learning, or AI
• Hands-on experience with GenAI frameworks such as Hugging Face Transformers, LangChain, and OpenAI APIs
• Proficiency in AWS cloud services for data and AI workloads
• Strong programming skills in Python; familiarity with libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy
• Experience with RESTful APIs, DevOps practices, and CI/CD pipelines
• Knowledge of containerization (Docker, Kubernetes) is a plus

In addition to technical skills, soft skills such as excellent communication, problem-solving, and analytical thinking are essential for success in this role. You should also have the ability to work both independently and collaboratively in a fast-paced environment. As a Data Analyst for GenAI & AWS Cloud, your role will revolve around analyzing large-scale datasets to uncover actionable insights and developing predictive and generative models using machine learning and GenAI techniques. You will design and evaluate experiments to assess the impact of product and process changes, collaborating with engineering teams to integrate AI/ML solutions into scalable cloud-based applications. Additionally, you will be responsible for building and fine-tuning GenAI models for business use cases, leveraging AWS services for model training, deployment, and monitoring, and implementing secure data pipelines using AWS Glue, Redshift, and Athena.

Your key responsibilities will include:

• Analyzing large-scale datasets to uncover actionable insights
• Developing and deploying predictive and generative models using machine learning and GenAI techniques
• Designing and evaluating experiments to assess the impact of product and process changes
• Collaborating with engineering teams to integrate AI/ML solutions into scalable cloud-based applications
• Building and fine-tuning GenAI models for business use cases
• Leveraging AWS services for model training, deployment, and monitoring
• Implementing secure and efficient data pipelines using AWS Glue, Redshift, and Athena
• Creating compelling dashboards and visualizations using tools like Power BI or Tableau
• Translating complex data insights into clear, actionable recommendations for stakeholders
• Working cross-functionally with product, engineering, and business teams to ensure successful AI solution delivery
• Mentoring junior analysts and data scientists on best practices in GenAI and cloud-based analytics
• Staying updated with the latest trends in GenAI, AWS services, and data science
• Continuously monitoring and optimizing model performance in production environments
• Contributing to the development of internal AI/ML frameworks and reusable components

Qualifications required for this role include:

• Bachelors or Masters degree in Computer Science, Data Science, or AI
• 4+ years of experience in data analysis, machine learning, or AI

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