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