Senior MLOps Engineer

Autonomize, Inc is seeking a highly motivated, driven Senior MLOps Engineer with Python & MLOps expertise to join our team on a journey to help organizations scale across the globe.

Autonomize is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible.

We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI.

We are a humble yet hungry group, always learning, always experimenting and always giving our best in everything we do. The company is still very young, and you will be joining the core engineering team, and it provides you the opportunity to take on more responsibility, break glass and change the world.

About the Role:

We are actively searching for a highly skilled and motivated Senior MLOps Engineer with expertise in Python and MLOps to become a key member of our team. The successful candidate will be responsible for deploying, managing, and monitoring machine learning (ML) workflows using cutting-edge tools like Kubeflow, MLflow, and LLM (Large Language Model) management systems. This role requires expertise in both machine learning techniques and DevOps practices, with a focus on scalability, reliability, and automation.

Key Responsibilities:

1. ML Workflow Management: Design, implement, and optimize ML workflows using Kubeflow and MLflow to streamline the development, training, and deployment of machine learning models.
2. Model Deployment: Deploy ML models into production environments using Kubeflow pipelines, ensuring scalability, reliability, and performance.
3. LLM Management: Implement and manage large language models (LLMs) for natural language processing tasks, including training, fine-tuning, and inference.
4. Infrastructure Orchestration: Utilize Kubernetes for container orchestration and manage scalable, fault-tolerant infrastructure for ML workloads.
5. Automation: Develop automation scripts and tools to automate deployment, monitoring, and maintenance tasks, minimizing manual intervention and improving efficiency.
6. Version Control: Implement version control for ML models, datasets, and experiments using Git and MLflow, ensuring reproducibility and traceability.
7. Monitoring and Logging: Set up monitoring and logging systems to track the performance and health of ML workflows and infrastructure components, and implement alerts for proactive issue resolution.
8. Security and Compliance: Implement security best practices and compliance standards for sensitive data handling in ML workflows, ensuring adherence to privacy regulations.
9. Collaboration: Collaborate closely with data scientists, software engineers, and other stakeholders to integrate ML models into production systems effectively.
10. Documentation: Document deployment processes, infrastructure configurations, and troubleshooting procedures to facilitate knowledge sharing and ensure system reliability.

Requirements:

1. Bachelor's degree in Computer Science, Engineering, or related field. Master's degree or higher preferred.
2. Proven experience in deploying and managing ML workflows using Kubeflow, MLflow, or similar tools in production environments.
3. Strong programming skills in Python, with experience in developing and maintaining production-grade code.
4. Proficiency in containerization technologies such as Docker and container orchestration tools like Kubernetes.
5. Experience with large language model management systems for natural language processing tasks, such as Hugging Face Transformers.
6. Familiarity with DevOps practices and tools, including CI/CD pipelines, infrastructure as code, and configuration management.
7. Excellent problem-solving skills and attention to detail.
8. Strong communication and collaboration skills, with the ability to work effectively in a team environment.
9. Experience with version control systems such as Git and familiarity with GitOps principles.
10. Knowledge of security best practices and data privacy regulations.
11. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.

Value / Who based:

1. Owner mentality - self-directed, needs minimal supervision, hands-on leader to drive quality in usability and experience
2. Always experimenting than hypothesizing (Learn it all vs. know it all)
3. Ability to design, architect and quickly complete projects with minimal supervision and direction
4. Strong interpersonal communication skills
5. Work as a team while owning key product deliverables
6. You are passionate, unafraid & loyal to the team & mission
7. You love to learn & win together
8. You communicate well through voice, writing, chat or video, and work well with a remote/global team

Education and experience requirements may vary depending on the company and position, but a bachelor's or master's degree in Computer Science, Engineering, Sales or a related field and several years of experience in scaling a B2B Product sales organization is required.

Some perks of working with us:

*Outsized Bet: We are a young company, funded by early customer traction, and leading VCs, and provides you an opportunity to start at the ground floor. A few years may turn into a plush retirement fund

1. Learning: Constantly learn from founders, community and customers
2. Startup Perks - Ownership, Autonomy & Mastery
3. Standard Benefits - insurance, commute etc.
4. Paid vacation, benefits and a commitment to everyone’s physical/mental health
5. You get to change the way the world, and leave a lasting impact.

If you want to work on the most impactful work of your life, learn together, and change the world, this job is for you.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.