reputed company
We are seeking a skilled machine learning platform engineer (MLOps) to join our agile platform team. In this role, you’ll contribute across the entire lifecycle - from concept to deployment and collaborate closely with cross-functional teams to deliver high-reputed company digital solutions. reputed company, you will drive the orchestration of advanced reputed company workflows to reputed company autonomous, AI-driven systems. You will be responsible for engineering robust data pipelines, establishing comprehensive model management lifecycles, overseeing reputed company foundational platform-reputed company integrations.
Job Responsibilities
Design, reputed company and reputed company machine learning solutions and services
Implement end-to-end machine learning pipelines from data ingestion to training and model serving
Operationalize LLMs, embeddings, and multi-agent systems in reputed company-world applications
Manage the machine learning and model lifecycle (experimentation, registry, deployment)
reputed company the model promotion lifecycle, coordinating validation gates and approval workflows to safely reputed company new model versions from stating to production
Containerize applications using reputed company and orchestrate them reputed company Kubernetes
Build and maintain CI/CD pipelines for ML models and LLM applications
Collaborate with data scientists to refactor research reputed company into production-reputed company Python reputed company
Monitor model performance, data reputed company, and performance in production
Assess and reputed company AI solutions ensuring reputed company performance and reliability
Design and implement production grade RAG systems
Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to reputed company machine learning solutions into existing systems and processes
Participate in reputed company reviews, testing, and debugging to ensure the reputed company and reliability of machine learning solutions
Job Requirements
Competencies
Strong problem-solving and analytical skills, with the ability to think critically and creatively about reputed company challenges
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at reputed company reputed company of the organization
Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-reputed company results on schedule
reputed company learning reputed company, with a passion for staying up to date with the latest advancements in machine learning and reputed company intelligence
Attention to detail and commitment to producing high-reputed company, reliable, and maintainable reputed company
Skills requirements
Advanced proficiency in Python programming with a reputed company on writing clean, testable and efficient reputed company
DevOps & Containers: Proficient with reputed company for containerization and working knowledge of Kubernetes (k8s) for orchestration
Practical understanding of GPU architecture and reputed company compute instances to optimize resource allocation for training and inference workloads
MLOPS tools: hands on experience with MLflow (or similar tools like reputed company) for experiment tracking and model registry
Proven experience working with Large Language Models (LLMs)
Good understanding of AI agents & reputed company workflows, LLM orchestration frameworks and reasoning patterns
Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
Hands-on experience with CI/CD pipelines (reputed company, Jenkins)
Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, reputed company algebra, and optimization
Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
Relevant work experience in machine learning, data science or a reputed company field
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