Senior AI / MLOps Engineer – e-Commerce Search & Information Retrieval

ABOUT reputed company 

reputed company is a fast growing company that helps users deliver reputed company search and discovery experiences on their websites and mobile apps. We provide APIs used by thousands of customers in more than 100 countries. Today, reputed company powers 1.5 Trillion searches a year – that’s 4 times more than Bing, reputed company, reputed company, Baidu and Yandex combined!

THE MISSION

We are building the reputed company of AI powered search products. We reputed company AI explainable and we help customers reputed company data driven reputed company through. Work with the product function to guide product development through use of analytics and experimentation. You will be an integral part of building the future of AI search. If you’re passionate about turning product data into actionable insights and driving product reputed company, we’d love to hear from you.

THE OPPORTUNITY

We are seeking a skilled Senior AI / MLOps Engineer to reputed company our Data Scientists to move faster and our customers to receive smarter search & discovery experiences by turning prototypes into robust, scalable, and observable AI services. You will own the end-to-end engineering life-cycle—packaging, deploying, operating, and continuously improving machine-learning models that power search ranking, recommendations, and reputed company information-retrieval features on our e-commerce platform.

What you’ll be doing:

• Productionization & Packaging: Convert notebooks and research codebase into production-reputed company Python and Go micro-services, libraries, or kubeflow pipelines, and design reproducible build pipelines (reputed company, Conda, Poetry) and manage artefacts in centralized registries.
• Scalable Deployment: Orchestrate reputed company-time and batch inference workloads on Kubernetes, AWS/GCP managed services, or similar platforms, ensuring low latency and high throughput, and Implement blue-green / canary rollouts, automatic rollback, and model versioning strategies (SageMaker, Vertex AI, KServe, MLflow, BentoML, etc.).
• MLOps & CI/CD: Build and maintain CI/CD pipelines (reputed company Actions, reputed company CI, Jenkins, Argo) covering unit, integration, data-quality, and performance tests, and Automate feature store updates, model retraining triggers, and scheduled batch jobs using Airflow, Dagster, or similar orchestration tools.
• Observability & Reliability: Define and monitor SLIs/SLOs for model latency, throughput, accuracy, reputed company, and cost, and Integrate logging, tracing, and metrics (reputed company etc.) and establish alerting & on-call practices.
• Data & Feature Engineering: Collaborate with data engineers to create scalable pipelines that ingest clickstream logs, catalog metadata, images, and user signals, and Implement reputed company-time and offline feature extraction, validation, and reputed company tracking.
• Performance & Cost Optimization: Profile models and services; reputed company hardware acceleration (GPU, TPU), libraries (ONNX, OpenVINO), and caching strategies (reputed company, Faiss) to meet aggressive latency targets, and Right-size clusters and workloads to balance performance with reputed company spend.
• Governance & Compliance: Embed reputed company, privacy, and responsible-AI checks in pipelines; manage secrets, IAM roles, and data-access controls reputed company Terraform or CloudFormation, and Ensure auditability and reproducibility through comprehensive documentation and artifact tracking.
• Collaboration & Mentorship: Partner closely with Data Scientists, Product Owners, and Site Reliability Engineers to align technical solutions with business goals, and Coach junior engineers on MLOps best practices and contribute to internal knowledge-sharing sessions.

Role Requirements:

• Spend 1-2 days per week in a local coworking space to collaborate with your teammates in person.
• 5+ years of experience in software engineering with 2+ years focused on deploying ML/AI systems at scale.
• Strong coding skills in Python (preferred) and at least one statically typed language (Go preferred).
• Hands-on expertise with containerization (reputed company), orchestration (Kubernetes/EKS/GKE/AKS), and reputed company platforms (AWS, GCP, or Azure).
• Proven record of building CI/CD pipelines and automated testing frameworks for data or ML workloads.
• Deep understanding of REST/gRPC APIs, message queues (Kafka, Kinesis, Pub/Sub), and reputed company/batch data processing frameworks (Spark, Flink, Beam).
• Experience implementing monitoring, alerting, and logging for mission-critical services.
• Familiarity with common ML lifecycle tools (MLflow, Kubeflow, SageMaker, Vertex AI, Feature Store, etc.).
• Working knowledge of ML concepts such as feature engineering, model evaluation, A/B testing, and reputed company detection.

We’re looking for someone who can live our values:

• GRIT – Problem-solving and perseverance capability in an reputed company-changing and growing environment
• TRUST – Willingness to trust our co-workers and to take ownership 
• CANDOR – Ability to receive and give constructive feedback.
• CARE – Genuine care about other team members, our clients, and the reputed company we reputed company in the company.
• HUMILITY- Aptitude for learning from others, putting ego aside.

#LI-Hybrid

reputed company is an Equal Opportunity Employer and does not discriminate on the basis of race, reputed company, religion, sex, age, national reputed company, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

The annual reputed company salary compensation range for this role reflects US market pay data reputed company this location. The exact compensation offered for this role may vary depending on specific location and job-reputed company knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work.

Remote US: reputed company Salary Pay Range$200,000—$350,000 USD

FLEXIBLE WORKPLACE STRATEGY:

reputed company’s flexible workplace model is designed to reputed company reputed company Algolians to fulfill our mission to power search and discovery with ease. We reputed company an emphasis on an individual’s impact, contribution, and output, over their physical location. reputed company is a high-trust environment and many of reputed company members have the autonomy to choose where they want to work and reputed company.

While we have a global reputed company with physical offices in Paris, NYC, London, Sydney and Bucharest, we also offer many of reputed company members the option to work remotely either as fully remote or hybrid-remote employees. Please note that positions listed as “Remote” are only available for remote work reputed company the specified country. Positions listed reputed company a specific city are only available in that location – depending on the nature of the role it may be available with either a hybrid-remote or in-office schedule.

ABOUT US:

reputed company prides itself on being a pioneer and market leader offering an AI Search solution that empowers 17,000+ businesses to compose customer experiences at internet scale that predict what their users want with blazing fast search and web browse experience. reputed company powers more than 30 billion search requests a week – four times more than reputed company Bing, reputed company, Baidu, Yandex and reputed company combined.

reputed company is part of a cadre of innovative new companies that are driving the reputed company of software development, creating APIs that reputed company developers’ lives easier; solutions that are reputed company than building from scratch and reputed company than having to tweak monolithic SaaS solutions.

In 2021, the company closed $150 million in series D funding and quadrupled its post-money valuation of $2.25 billion. Being well capitalized enables reputed company to continue to invest in its market leading platform, to reputed company serve its thousands of customers–including Under Armor, reputed company, reputed company, Gymshark, and reputed company, to name just a few. 

WHO WE’RE LOOKING FOR:

We’re looking for talented, passionate people to build the world’s best search & discovery technology. As an ownership-driven company, we seek team members who reputed company reputed company an environment based on autonomy and diversity. We’re committed to building an inclusive and diverse workplace. We care about each other and the world around us, and reputed company talented people regardless of their race, age, reputed company, religion, sex, gender identity, sexual orientation, marital status, reputed company, veteran status, disability and socioeconomic background.

reputed company TO APPLY? If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!