Mid Level AI/ML Engineer-Remote
Xenon7
3h ago
0DataIndiahimalayas
Machine-Learning-EngineerAI-EngineerMLOps-EngineerData-ScientistPython-DeveloperMid-Level-AI-EngineerRemote-AI-EngineerRemote-Machine-Learning-EngineerMid-Level-AI-Research-EngineerMid-level
Job Description
About us:Where elite tech talent meets world-class opportunities!At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.We are building a community of top-tier experts and we’re opening the doors to an exclusive group of exceptional AI & ML Professionals ready to solve real-world problems and shape the future of intelligent systems.RequirementsAI/ML Engineer (Mid-level, 4–6 years)Experience Level: Mid-level, 4–6 yearsCore Skills Programming: Python, SQL, PandasML/DL frameworks: scikit-learn, PyTorch, TensorFlowMLOps: Docker, CI/CDCloud: AWS/AzureAI application essentials: RAG pipelines, embeddings/vector databases, NLP/TransformersAgile/SCRUM practices, communication, and estimationResponsibilities:Execute and deliver enterprise agentic AI solutions under guidance of senior engineersContribute to solution building, model development, and integrationSupport Agile practices: sprint planning, estimation, and documentationCollaborate with cross-functional teams (data scientists, DevOps, product owners)Implement APIs, cloud-native deployments, and monitoring solutionsFocus on execution, optimization, and delivery rather than consulting More execution-focused, supporting senior engineers in delivery. Expected to contribute actively to solution building, Agile practices, and enterprise agentic AI execution.Originally posted on Himalayas
