Mid Level AI/ML Engineer

Role Overview: You will be joining Xenon7 as an AI/ML Engineer at a mid-level with 4-6 years of experience. In this role, you will work on cutting-edge projects that leverage the latest technologies in AI and ML across various domains of IT. Your primary responsibility will be to execute and deliver enterprise agentic AI solutions under the guidance of senior engineers, contribute to solution building, model development, and integration, and support Agile practices within the team. Key Responsibilities: - Execute and deliver enterprise agentic AI solutions under the guidance of senior engineers. - Contribute to solution building, model development, and integration. - Support Agile practices such as sprint planning, estimation, and documentation. - Collaborate with cross-functional teams including data scientists, DevOps, and product owners. - Implement APIs, cloud-native deployments, and monitoring solutions. - Focus on execution, optimization, and delivery rather than consulting. Qualifications Required: - Mid-level AI/ML Engineer with 4-6 years of experience. - Proficiency in programming languages like Python, SQL, and Pandas. - Experience with ML/DL frameworks such as scikit-learn, PyTorch, and TensorFlow. - Familiarity with MLOps tools like Docker and CI/CD. - Knowledge of Cloud platforms like AWS/Azure. - Understanding of AI application essentials including RAG pipelines, embeddings/vector databases, and NLP/Transformers. - Experience with Agile/SCRUM practices, communication, and estimation. Please note: The job description provided did not include additional details about the company. Role Overview: You will be joining Xenon7 as an AI/ML Engineer at a mid-level with 4-6 years of experience. In this role, you will work on cutting-edge projects that leverage the latest technologies in AI and ML across various domains of IT. Your primary responsibility will be to execute and deliver enterprise agentic AI solutions under the guidance of senior engineers, contribute to solution building, model development, and integration, and support Agile practices within the team. Key Responsibilities: - Execute and deliver enterprise agentic AI solutions under the guidance of senior engineers. - Contribute to solution building, model development, and integration. - Support Agile practices such as sprint planning, estimation, and documentation. - Collaborate with cross-functional teams including data scientists, DevOps, and product owners. - Implement APIs, cloud-native deployments, and monitoring solutions. - Focus on execution, optimization, and delivery rather than consulting. Qualifications Required: - Mid-level AI/ML Engineer with 4-6 years of experience. - Proficiency in programming languages like Python, SQL, and Pandas. - Experience with ML/DL frameworks such as scikit-learn, PyTorch, and TensorFlow. - Familiarity with MLOps tools like Docker and CI/CD. - Knowledge of Cloud platforms like AWS/Azure. - Understanding of AI application essentials including RAG pipelines, embeddings/vector databases, and NLP/Transformers. - Experience with Agile/SCRUM practices, communication, and estimation. Please note: The job description provided did not include additional details about the company.