Senior MLOps Engineer @
5 days ago
Required Skills and Qualifications:
- 5+ years of experience in MLOps, DevOps, or Data Engineering with a strong focus on ML model deployment.
- Strong expertise in ML lifecycle automation, model versioning, and monitoring.
- Hands-on experience with ML pipeline orchestration tools such as Apache Airflow, Kubeflow, or MLflow.
- Proficiency in programming languages such as Python (Pandas, NumPy, TensorFlow/PyTorch) & SQL.
- Experience with containerization (Docker, Kubernetes) and CI/CD pipelines for ML.
- Familiarity with cloud platforms (Azure preferred, AWS or GCP also considered).
- Experience with infrastructure as code (Terraform, CloudFormation).
- Strong understanding of data engineering concepts and working with large-scale data processing frameworks (Spark, Databricks).
- Familiarity with version control systems (e.g., Git) and collaborative development workflows.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills (English C1 level) and experience working in client-facing roles.
Bonus Skills and Experiences:
- Experience with real-time model serving using tools like TensorFlow Serving, TorchServe, or Triton Inference Server.
- Hands-on experience with feature stores like Feast or Tecton.
- Experience working with compliance-driven industries (e.g., finance, healthcare, regulated environments).
- Knowledge of graph databases, NLP models, or reinforcement learning workflowsemonstrated experience with Terraform for infrastructure provisioning and management.
Desired Qualities:
- Innovative Problem-Solver: A creative thinker who can efficiently solve complex problems and adapt to new technologies and changing product requirements.
- Quality Advocate: Passion for quality and a dedication to understanding the user's perspective and how it impacts the product's overall experience.
- Effective Communicator: Strong interpersonal and communication skills, with the ability to articulate issues, solutions, and concepts to technical and non-technical stakeholders alike.
- Leadership Potential: While direct leadership experience is not mandatory, the aptitude to mentor others and lead by example in software engineering practices is highly valued.
Massive Rocket is a high-growth Braze & Snowflake agency that has made significant strides in connecting digital marketing teams with product and engineering units. Founded just 5 years ago, we have experienced swift growth and are now at a crucial juncture, aspiring to reach $100M in revenue.
Our focus is on delivering human experiences at scale, leveraging the latest in web, mobile, cloud, data, and AI technologies. We pride ourselves on innovation and the delivery of cutting-edge digital solutions.
Every role at Massive Rocket is Entrepreneurial - Successful people at Massive Rocket will not only think about their role but understand the roles around them, their goals, and contribute to the success and growth of their team, customers, and partners.
What We Offer
Fast-moving environment – you will never stop learning and growing
Supportive and positive work culture with an emphasis on our values
International presence – work with team members in Europe, the US, and around the globe
100% remote forever
Flexible Vacation Policy
Career progression paths and opportunities for promotion/advancement
Organised team events and outings
What we're looking for
Massive Rocket, a global Martech agency specializing in Braze and Snowflake, is looking for a talented Senior MLOps Engineer to join our growing team. We work with clients across the U.S., U.K., and European Union, delivering cutting-edge AI and machine learning solutions.We are seeking a highly skilled and motivated Senior MLOps Engineer to design, implement, and optimize robust, scalable, and efficient machine learning infrastructure. You will work closely with our data scientists, ML engineers, and product teams to streamline model deployment, monitoring, and operationalization, ensuring reliable and scalable AI-driven solutions.
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