About this role
The team is seeking a skilled Python AML professional to join their dynamic team. The ideal candidate will have a strong background in system design and a deep understanding of machine learning and artificial intelligence technologies.
Key Responsibilities:
- Design and implement robust systems using Python, TensorFlow, and FastAPI.
- Develop and maintain applications leveraging Google ADK, Lang Chain, and Lang Graph.
- Utilize Spark for data processing and Agentic AI Design for innovative solutions.
- Implement ML Ops practices to streamline machine learning workflows.
- Work with LLMs such as Gemini and OpenAI to enhance natural language processing capabilities.
- Collaborate with cross-functional teams to ensure seamless integration of AI-driven solutions.
- Engage in CI/CD processes to maintain high-quality code and deployment practices.
Required Skills & Qualifications:
- Proficiency in Python and experience with TensorFlow.
- Familiarity with Google ADK, Lang Graph, and Lang Chain.
- Experience in ML Ops and Agentic AI Design.
- Knowledge of FastAPI, Spark, and LLMs.
- Strong communication skills, both oral and written, with a collaborative mindset.
- Experience with DevOps practices, including Kubernetes (K8) is a plus.
- Understanding of scripting, Java, REST APIs, and related technologies is advantageous.
Experience:
- Minimum of 5-8 years in software development or a related field, focusing on AI and machine learning applications.
What we offer:
- An opportunity to work on cutting-edge technologies in a collaborative environment.
- Professional development and growth opportunities.
- A supportive team culture that values innovation and creativity.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.