MLOps Engineer
- Posted 2 months ago
- Be among the first 10 applicants
Job Description
Hands on Experience in MLOps or AI integration projects.
Hands -on experience in DevOps or software engineering.
Hands-on with RAG architectures for LLMs.
Hands-on with Python, REST APIs, Bash scripting.
Experience with Docker, containerization, and CI/CD workflows.
Familiarity with cloud platforms (Azure, AWS, or GCP).
Knowledge of AI pipeline tools (MLflow, FastAPI, Airflow, LangChain, etc.).
Experience with at least one vector database (e.g., FAISS, Weaviate, and Chroma).
Understanding of deploying AI services securely and efficiently.
Experience with Agile and DevOps software development principles/methodologies and working on
teams focused on delivering business value.
Hands -on experience in DevOps or software engineering.
Hands-on with RAG architectures for LLMs.
Hands-on with Python, REST APIs, Bash scripting.
Experience with Docker, containerization, and CI/CD workflows.
Familiarity with cloud platforms (Azure, AWS, or GCP).
Knowledge of AI pipeline tools (MLflow, FastAPI, Airflow, LangChain, etc.).
Experience with at least one vector database (e.g., FAISS, Weaviate, and Chroma).
Understanding of deploying AI services securely and efficiently.
Experience with Agile and DevOps software development principles/methodologies and working on
teams focused on delivering business value.
More Info
Key Skills
About Company
Skills:
Programming Languages - OS, Python - Open Source, Machine Learning, Devops, MLops, Ansible, AI-AI Engineering, Technology, AI-Data science
Skills:
Artifactory, Grafana, AWS, Gitlab, Prometheus, Kubernetes, Python, Docker, Elk Stack, Gitflow, MLOps tools, TorchServe, TensorFlow Serving
Skills:
Spark, Pig, Databricks, Azure Data Factory, Github, Devops, Exploratory Data Analysis, Hive, Azure, ML model deployment, Kubeflow, MLOps automation, CI CD, MLFlow, ML Ops
Skills:
Kubernetes, Git, python, Jenkins, Docker, aws
Skills:
Docker, Terraform, Kubernetes, Python, AWS SageMaker, CI/CD