Description :

- Analyze large-scale datasets to uncover actionable insights.

- Develop and deploy predictive and generative models using machine learning and GenAI techniques.

- Design and evaluate experiments to assess the impact of product and process changes.

- Collaborate with engineering teams to integrate AI/ML solutions into scalable cloud-based applications.

Generative AI & Cloud Integration :

- Build and fine-tune GenAI models (e.g., LLMs, diffusion models) for business use cases.

- Leverage AWS services such as Bedrock, Lambda, and S3 etc. for model training, deployment, and monitoring.

- Implement secure and efficient data pipelines using AWS Glue, Redshift, and Athena.

Visualization & Communication :

- Create compelling dashboards and visualizations using tools like Power BI, or Tableau.

- Translate complex data insights into clear, actionable recommendations for stakeholders.

Collaboration & Mentorship :

- Work cross-functionally with product, engineering, and business teams to ensure successful AI solution delivery.

- Mentor junior analysts and data scientists on best practices in GenAI and cloud-based analytics.

Continuous Innovation :

- Stay updated with the latest trends in GenAI, AWS services, and data science.

- Continuously monitor and optimize model performance in production environments.

- Contribute to the development of internal AI/ML frameworks and reusable components.

Education : Bachelors or Masters degree in Computer Science, Data Science, AI

Experience :

- 4+ years of experience in data analysis, machine learning, or AI.

- Hands-on experience with GenAI frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI APIs).

- Proficiency in AWS cloud services for data and AI workloads.

Technical Skills :

- 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.

Soft Skills :

- Excellent communication, problem-solving, and analytical thinking.

- Ability to work independently and collaboratively in a fast-paced environment.