Sr. AI/ML Ops Engineer

blaZop Inc.; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

A leading AI technology firm is seeking a Senior AI/ML Engineer with 6-10 years of experience to drive MLOps implementation and ensure model integration in production. The ideal candidate will have expertise in Python, deep learning frameworks, and cloud services. Join this innovative team remotely to contribute to cutting-edge AI solutions.

Qualifications

• 6 to 10 years of hands-on experience in the AI/ML space.
• Proven experience in machine learning methodologies.
• Strong passion for driving technological advancements.

Responsibilities

• Lead the implementation of MLOps practices.
• Develop and maintain scalable Python code.
• Collaborate with cross-functional teams.
• Streamline deployment processes with DevOps teams.
• Implement observability tools for monitoring.

Skills

Python Expertise

Data Science (Jupyter Notebooks)

Deep Learning (PyTorch)

Good LLM Knowledge

Implementation of GenAI (LLMs)

Education

Bachelors/Masters in Data Science

Tools

Docker

Kubernetes

Azure DevOps

AWS SageMaker

Python

NumPy

Pandas

Git

Jenkins

GitLab

Prometheus

Grafana

Azure Monitor

AWS CloudWatch

TensorBoard

Confluence

Markdown

Job description

We are actively seeking a highly skilled and experienced Senior AI/ML Engineer with a focus on MLOps to join our innovative team. If you have 6 to 10 years of hands-on experience in the AI/ML space and a passion for driving technological advancements, this role is for you.

Specific Skills

• Python Expertise: Proficiency in Object-Oriented Python
• Data Science (Jupyter Notebooks): Demonstrated expertise in data science, including analysis and modeling using Jupyter Notebooks.
• Deep Learning (PyTorch): Proven experience in deep learning, particularly with PyTorch, and familiarity with other frameworks.
• Good LLM Knowledge: Good understanding of Natural Language Processing (NLP) and Language Models (LLM).
• Any successful Implementation of GenAI (LLMs) on custom-data is preferred.
• Bachelors/Masters in Data Science is preferred.

Responsible For

• MLOps Implementation (Docker, Kubernetes, Azure DevOps, AWS SageMaker): Lead the implementation of MLOps practices, ensuring seamless integration of machine learning models into production systems. Leverage containerization with Docker and orchestration with Kubernetes. Implement MLOps technologies from both Azure and AWS, such as Azure DevOps and AWS SageMaker.
• Code Development (Python, NumPy, Pandas): Develop and maintain scalable and efficient Python code for machine learning applications. Utilize NumPy and Pandas for effective data manipulation and analysis.
• Collaboration (Git): Collaborate with cross-functional teams to understand business requirements and seamlessly integrate machine learning solutions into software applications. Utilize Git for version control and collaborative coding.
• DevOps Integration (Jenkins, GitLab): Work closely with DevOps teams to streamline deployment processes, ensuring reliability and scalability. Implement continuous integration and deployment (CI/CD) practices with tools like Jenkins or GitLab.
• Observability (Prometheus, Grafana, Azure Monitor, AWS CloudWatch): Focus on fine-tuning models and identifying data anomalies. Implement observability tools like Prometheus and Grafana for monitoring and troubleshooting. Leverage Azure Monitor and AWS CloudWatch for cloud-specific observability.
• Model Evaluation (TensorBoard): Implement model evaluation tools such as TensorBoard to ensure models are working as expected and meet performance criteria.
• Documentation (Confluence, Markdown): Create comprehensive documentation for code, models, and deployment processes using tools like Confluence and Markdown.
• Training and Knowledge Sharing: Provide training and knowledge-sharing sessions to team members on best practices in MLOps and Python coding.

Job Nature

Full Time

Job Location

Remote, USA

Job Level

Sr. Position

How to Apply

Interested candidates can send their resumes to [e-mail] mentioning "Job Title" in the subject line.

blaZop is an AI-powered hyper-automation & observability platform that enables autonomous IT and cloud operations. It empowers teams to achieve more with less effort, consolidate tools, reduce operational costs, establish and maintain more secure and standardized environments, minimize outages, and gain an insightful view of all IT and cloud services from a single interface. The unified platform includes a range of integrated products for managing the entire lifecycle (design, build, operate, and optimize) of multi-vendor & complex IT and cloud environments.