What are the responsibilities and job description for the ML Engineer position at AgreeYa Solutions?
Job Title: ML Engineer
Location: Plano, TX (onsite)
Need local candidates only, F2F interview
Job Description:
- This role is ML Engineering with hands-on Software Engineering skills using Python and Pyspark, Databricks.
- Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL, Redis, Azure cloud.
- Advanced No-SQL (MongoDB) and SQL (Postgres) and data modeling for slowly changing dimensions / temporal mappings. Experience building production-grade ML pipelines, and data pipelines.
- Solid Python development skills with APIs development (FastAPIs) and familiarity with ML workflows.
- Delta Lake, MLflow, and workflow orchestration experience.
- Agentic development and GenAI experience will be a big plus
- Familiarity with ELK (Elastic Kibana)
- Please note that DE with GenAI knowledge will not be shortlisted;
- The candidate must have classical ML/DS exposure with production pipeline design and development experience.
About AgreeYa:
AgreeYa is a global systems integrator delivering a competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 1,800 professionals across offices. AgreeYa works with 550 organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology, Public Sector, Pharma & Biotech, Retail, Client, and others. Please visit us at for more information.
Equal Opportunity:
AgreeYa is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, veteran status or other protected characteristics. Visit our website at to learn about our Career & Cultures.