Mlops Engineer
Summary
Lead the architecture and development of complex, high-scale ML systems while driving technical decisions and mentoring teams. Core stack includes Python, AWS SageMaker, Kubernetes, MLflow, Kubeflow, Docker, TensorFlow, and CI/CD pipelines for end-to-end MLOps workflows.
Role Summary
Join our team as an Mlops Engineer and take on the critical role of leading complex technical initiatives within the IT industry. In this position, you will be instrumental in driving architectural decisions, mentoring teams, and building scalable solutions that set industry standards. Your expertise will help shape the future of our engineering organization and influence the development of high-impact projects.
Responsibilities
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Architect and lead the development of complex, high-scale systems and applications, ensuring they meet business requirements and user needs.
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Drive technical decision-making and establish engineering best practices across teams, fostering a culture of innovation and excellence.
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Collaborate closely with engineering leadership on the technical roadmap and strategic initiatives, aligning them with business objectives.
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Lead cross-functional projects that involve multiple teams and stakeholders, ensuring timely delivery and quality outcomes.
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Design system architectures that balance performance, scalability, and maintainability, paving the way for future enhancements.
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Conduct technical interviews and contribute to hiring decisions, helping to build a strong engineering team.
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Represent the engineering team in stakeholder meetings and technical discussions, advocating for the needs of the engineering function.
Ways of Working
You will engage in a collaborative work environment where team members are encouraged to share knowledge and expertise. Regular feedback sessions and code reviews will be part of your routine, promoting continuous learning and improvement.
Collaboration & Communication
Your role will require effective communication with project managers, designers, QA engineers, and operations to clarify acceptance criteria and dependencies. You will maintain a visible log of decisions and risks, ensuring that impacts are communicated clearly and timelines are realistically set.
Growth Signals
This position offers numerous opportunities for professional growth, including shaping the technical direction of products used by a wide range of users. You will have the chance to lead greenfield projects, influence engineering hiring practices, and contribute to the overall engineering culture.
Must-Haves
- A/B Testing, API Development, AWS, AWS SageMaker, Advanced SQL, Architectural Design, Azure Machine Learning, Big Data Technologies, CI/CD, Cloud Cost Optimization, Configuration Management, Cross-Functional Collaboration, Data Drift, Data Governance, Data Pipelines, Data Preprocessing, Data Privacy Regulations, Django, Docker, End-to-End ML Lifecycle, Git, Google Vertex AI, Grafana, Infrastructure as Code, Jupyter Notebooks, Kubeflow, Kubernetes, Logging and Monitoring, ML Model Deployment, MLOps, MLOps Frameworks, MLOps Strategy Development, MLflow, Machine Learning Workflow, Mentoring, Model Monitoring, Model Monitoring Tools, Model Optimization, Model Performance Metrics, Model Versioning, Monitoring Tools, Performance Tuning, PostgreSQL, Prometheus, Python, Security Best Practices, Technical Leadership, TensorFlow, Terraform, Test Automation, Version Control Systems, Data Drift,
Nice-to-Have Skills
- Advanced Communication Skills, Advanced Data Pipelines, Agile Methodology, Apache Airflow, Business Intelligence (BI), Business Process Mapping, Change Management, CloudFormation, Data Lake Solutions, Data Modeling, Data Quality Assurance, Distributed Systems, Flask, GraphQL, Lean Methodology, Process Automation, Scrum, Stakeholder Engagement, Stakeholder Management, Team Leadership, Technical Documentation, User Experience (UX), Visualization Tools
Engagement & Compensation
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Employment Type: Freelance
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Work Mode: Onsite
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Location: Delhi, Delhi, India
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Openings: 1 position available
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Experience: 3 to 6 years