AI / ML Developer
Job Type : Full-Time Employee (FTE)
Experience : 4+ years (with a minimum of 3 years of relevant experience)
Notice Period : Immediate to a maximum of 30 days
Location : Chennai / Hyderabad (Work from Office - Mandatory)
We are seeking a highly skilled and experienced AI / ML Developer to join our team. You'll be instrumental in developing and deploying cutting-edge AI and machine learning solutions, with a strong focus on Generative AI and MLOps. This role requires a hands-on approach to building production-grade ML pipelines and a deep understanding of the full machine learning lifecycle.
Key Responsibilities :
- Hands-on Development : Design, develop, and deploy robust AI and machine learning models, with a focus on Generative AI.
- Production-Grade Pipelines : Build and manage end-to-end, production-ready machine learning pipelines, ensuring scalability and reliability.
- MLOps and Lifecycle Management : Implement MLOps best practices to manage the entire ML lifecycle, from data ingestion to model serving.
- Tooling Expertise : Utilize tools such as MLFlow, SageMaker, Vertex AI, and Airflow to streamline ML workflows.
- Cloud and Infrastructure : Work extensively in a cloud environment (AWS, GCP, or Azure), leveraging services for model training and deployment.
- Containerization : Use Docker and Kubernetes to containerize and orchestrate applications and models.
- CI / CD : Develop and maintain CI / CD pipelines to automate the deployment process.
- Cross-Functional Collaboration : Collaborate with data scientists, engineers, and product managers to translate business needs into technical solutions.
- Generative AI Development : Develop and fine-tune models using OpenAI, Claude, and other Generative AI tools.
- API Development : Build and deploy robust APIs using frameworks like FastAPI to serve models.
Required Skills and Qualifications
Python Proficiency : Strong expertise in Python for machine learning and development.Core ML Frameworks : Hands-on experience with TensorFlow and other key machine learning libraries.Generative AI : Proven experience with Generative AI models and concepts.MLOps : Practical experience with MLOps principles and tools.Cloud Platforms : Solid experience with at least one major cloud platform (AWS, GCP, or Azure).Containerization : Experience with Docker and Kubernetes.API Development : Familiarity with building APIs, preferably with FastAPI.Notice Period : Ability to join within 30 days.(ref : hirist.tech)