Job Description
Key Responsibilities
- Apply expertise in Data Science, Generative AI, and Machine Learning to design and develop solutions.
- Work with AWS Cloud services to build, deploy, and manage AI/ML applications and infrastructure components.
- Develop and integrate backend components using Java and Microservices architecture.
- Utilize Python for data analysis, model development, scripting, and other Data Science tasks related to AI/ML projects.
- Collaborate effectively with cross-functional teams using good communication skills.
- Design and implement various components of AI/ML pipelines.
- Explore and implement new Generative AI models and techniques.
- Contribute to the full development lifecycle of AI-driven applications, from concept to deployment.
- Troubleshoot and optimize AI/ML models.
Required Skills & Qualifications
- 5+ years of experience in roles such as Data Science, Machine Learning Engineering, or Software Engineering focused on AI/ML.
- Expertise in Data Science, Generative AI, and Machine Learning concepts and practices.
- Experience with AWS Cloud services relevant to AI/ML workloads.
- Experience with Java and Microservices architecture.
- Proficiency in Python.
- Good communication skills.
Plus Points
- Experience with specific Generative AI models (e.g., LLMs, specific frameworks).
- Experience with MLOps practices and tools.
- Experience with other AWS AI/ML services (e.g., SageMaker, Textract, Rekognition).
- Experience with other cloud platforms (Azure, GCP).
- Experience with database technologies.
(ref:hirist.tech)