# SaaS e-commerce Client #3 | Senior MLOps Engineer (Data & ML Platform) Source: https://realanalystjobs.com/job/saas-e-commerce-client-3-senior-mlops-engineer-data-and-ml-platform-sd-solutions-953aa7d3 SaaS e-commerce Client #3 | Senior MLOps Engineer (Data & ML Platform) at SD Solutions, a remote role (location not stated). Experience level: 5+ Years. Posted on 13 November 2026, read from SD Solutions' own careers page (Breezy HR), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [SD Solutions](https://realanalystjobs.com/companies/sd-solutions) - Location: Remote (location not stated) - Posted: Nov 13, 2026 - Employment type: Full time - Experience level: 5+ Years - Source: SD Solutions' careers page (Breezy HR), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), [dbt](https://realanalystjobs.com/skills/dbt), Snowflake, AWS, Spark, Airflow ## About this role On behalf of NDA, SaaS e-commerce , SD Solutions is looking for a talented Senior MLOps Engineer (Data & ML Platform) based in Georgia (Tbilisi) to join our growing team. You’ll own the data that Falcon’s offer-ranking model learns from: the raw sources, the pipelines, the training tables, and the monitoring around them. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: What you’ll do: • Own the ML data pipelines: build and run batch pipelines on Spark and Databricks, from raw data to feature and training tables, including enrichment and backfills for late-arriving data. • Onboard new data sources: bring in internal databases, external APIs, partner feeds and web data, and match them to Falcon’s own entities. • Use LLMs inside pipelines: add LLM steps to batch jobs, such as turning text into embeddings and structured attributes. • Keep training and serving consistent: make sure features match between training and the live inference service, which includes reading its Java code. • Monitor data and model inputs: run scheduled data quality checks and Grafana alerts that catch bad data before it reaches the model, and find the root cause when something breaks. • Ship like an MLOps engineer: deploy pipelines through CI/CD (GitHub Actions, Docker, AWS) with proper secrets handling, and keep run time and cost under control. • Work with AI agents: coding agents write most of Falcon’s code. You’ll decide where agents fit, then check their output on row counts, distributions and edge cases before anyone relies on it. Requirements: • 5+ years in data engineering, MLOps or ML platform roles, with pipelines you’ve run in production • Production Spark: complex transformations, window functions, large joins, partitioning, and tuning for shuffles and skew. Databricks (jobs, Delta tables) is a big plus. • Production Snowflake: SQL, loading and unloading, and cost management • Large data volumes: hundreds of millions of rows a month, with incremental loads and backfills that keep run time and cost under control • Strong Python: clean, tested code; Spark UDFs including pandas UDFs; pandas and PyArrow • Data quality and monitoring: quality checks, drift and anomaly detection, and alerts people can act on • Deployment: GitHub Actions, Docker, AWS (S3, IAM) and proper secrets handling • Backend engineering: comfortable working in a service codebase, not only in notebooks and SQL • AI-first habits: you already use coding agents daily and look for what to automate • Fluent English and based in Georgia Nice to have: • MLflow and feature stores • Airflow or Databricks Workflows • Kafka or Spark Structured Streaming • Terraform • DBT • Scala for Spark • Reading Java • Time-based splits and preventing data leakage in training sets • Ad-tech or e-commerce data experience About the company: NDA helps eCommerce brands boost revenue with highly relevant and rewarding post-purchase offers. Our platform delivers personalized offers to customers right after checkout, driving repeat purchases and increasing lifetime value through seamless integrations and data-driven insights By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us. Description from SD Solutions' public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/saas-e-commerce-client-3-senior-mlops-engineer-data-and-ml-platform-sd-solutions-953aa7d3) and use Apply now there to reach the employer's application. The listing is re-checked against SD Solutions' careers page daily and removed when it closes. ## SD Solutions 1 open analyst role on Real Analyst Jobs. [More roles at SD Solutions](https://realanalystjobs.com/companies/sd-solutions) ## More like this - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/saas-e-commerce-client-3-senior-mlops-engineer-data-and-ml-platform-sd-solutions-953aa7d3) - [SD Solutions on Real Analyst Jobs](https://realanalystjobs.com/companies/sd-solutions) - [All analyst jobs](https://realanalystjobs.com/jobs)