Software Engineer _ MLOps
INR 1000K-1800K (estimate) Mid-level Full Time
Tasks
- Automate data transformation
- Build AI ML competence in business units
- Collaborate with product teams and partners
- Create intellectual property for AI ML
- Deploy monitor and retrain machine learning models
- Develop AI ML software environment
- Develop automation scripts and tooling for deployments
- Develop new AI ML methods and techniques
- Evaluate compute and capacity requirements
- Lead functional and technical analysis
- Operationalize machine learning lifecycle components
- Perform data studies and usage
- Plan AI ML tool and infrastructure needs
- Secure AI/ML systems
- Support quality assurance maintenance migration and cost control
- Translate business problem into AI ML problem
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Agent Frameworks | Agent Orchestration | Apache Spark | CI/CD | Capacity Planning | Containers | CrewAI | Design Patterns | Golang | Helm | ITIL | ITSM | Identity and Access Management | Identity and access | Infrastructure as Code | Java | JavaScript | Jupyter | Key Management | Kubeflow | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Linux | MLflow | Machine Learning | Network Capacity | Network capacity planning | OpenAI | Prometheus | Prompt engineering | Python | QoS | Reliability Engineering | Retrieval-Augmented Generation | SRE | Scala | Site Reliability | Site Reliability Engineering | Storage | TensorFlow | Terraform | VPN | VPN Redundancy | Vault | WAN Networking | Windows | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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