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Job Description: MLOps Engineer
Why you’ll love this role
StockX is an established global startup headquartered in the USA with development offices in Bangalore India.We are seeking a versatile and skilled MLOps Engineer with expertise in DevOps, CloudOps (preferably AWS Cloud), and foundational knowledge of Data Engineering and Software Engineering. The ideal candidate should have 4-5 years of relevant experience, a solid understanding of deploying, managing, and scaling machine learning pipelines in production, and experience in backend software development and API design.
What you’ll do
- Design, build, and maintain end-to-end machine learning pipelines, including model training, validation, deployment, monitoring, and updating.
- Implement CI/CD pipelines tailored for machine learning workflows.
- Enhance ML Pipeline Efficiency Directly improve the robustness scalability and performance of our TensorFlow and Kubeflow pipelines
- Focus on optimizing model training and serving processes minimizing downtime and automating routine tasks to increase operational efficiency
- Drive Platform Scaling & Innovation Take a leadership role in expanding our ML platform's capacity to manage larger data volumes and more complex models
- Research and integrate cutting-edge technologies develop scalable architectures and elevate system performance and efficiency through continuous enhancements
- Establish MLOps Excellence Design and implement robust MLOps frameworks that streamline the integration continuous deployment and monitoring of ML models
- Set up comprehensive CI/CD pipelines automate testing and create monitoring tools to proactively track model performance and detect issues
- Foster Cross-Functional Collaboration Partner with data scientists software engineers and product teams to transform business requirements into scalable and dependable machine learning solutions
- Bridge the gap between model development and deployment ensuring models are production-ready and align with performance standards
- Overcome Production Challenges Proactively monitor troubleshoot and resolve issues affecting model performance data pipeline integrity and system efficiency
- Identify root causes and implement strategic solutions to ensure the ongoing stability and performance of our ML infrastructure
- Streamline cloud infrastructure (AWS preferred), automate deployments with IaC tools, and ensure scalable, reliable, and high-performing ML workflows.
- Deploy ML models with containerization and orchestration, and establish monitoring systems for performance, data drift, and system health.
- Develop scalable backend solutions, integrate ML models via APIs, ensure clean code practices, with optional frontend expertise.
- Collaborate across teams to align ML solutions with business goals and document processes for reproducibility and excellence.
- Support data engineering by integrating pipelines, optimizing storage, and preprocessing datasets for ML workloads.
About you
- Educational and Technical Foundation Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
- You should have solid experience in maintaining and scaling machine learning pipelines using TensorFlow and Kubeflow.
- Knowledge of ML Engineering, including model architecture design and hyperparameter tuning.
- Advanced MLOps Proficiency At least 3 years of experience in ML Engineering with expertise in deploying models and managing ML workflows and familiarity with MLflow TFX or Airflow.
- Strategic Problem Solver with Collaborative Spirit Excel at solving complex problems at scale and have a proven ability to work effectively within collaborative fast-paced cross-functional teams.
- You're adept at communicating technical concepts across various stakeholder groups ensuring alignment and understanding.
- Innovative Tech Enthusiast with Cloud Expertise Your proactive approach drives you to continually seek improvements in ML development and deployment processes.
- You have a strong knowledge of cloud platforms particularly AWS and experience with containerization tools like Docker and Kubernetes. Hands-on experience with AWS Cloud (EC2, S3, RDS, Lambda, SageMaker, etc.).
- Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, scikit-learn, LLM / Lang chain / Agent experience is a plus.
Nice to have skills
- Understanding of embeddings / vector databases and feature stores
- Knowledge of monitoring tools like Prometheus, Grafana, or CloudWatch.
- Experience with other cloud platforms (GCP, Azure) is a plus.
- Understanding of model explainability, fairness, and ethical considerations in AI/ML.
- Experience with version control tools like Git and ML model versioning tools like MLflow or DVC.
About StockX
StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at www.stockx.com.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position.
StockX reserves the right to amend this job description at any time.
