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-quality digital solutions. Further, you will drive the orchestration of advanced agentic 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 deploy 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 real-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 deploy 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 code into production-ready Python code

• Monitor model performance, data reputed company, and performance in production

• Assess and integrate AI solutions ensuring optimal performance and reliability

• Design and implement production grade RAG systems

• Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes

• Participate in code reviews, testing, and debugging to ensure the quality 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 levels of the organization

• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule

• reputed company learning reputed company, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence

• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Skills requirements

• Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code

• DevOps & Containers: Proficient with reputed company for containerization and working knowledge of Kubernetes (k8s) for orchestration

• Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads

• MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry

• Proven experience working with Large Language Models (LLMs)

• Good understanding of AI agents & agentic 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, linear 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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