What are the responsibilities and job description for the Senior AI ML Data Platform Engineer with strong SQL, Python, Data modeling, API''s and AWS position at Unisoft Technology Inc?
We are seeking for a Senior AI ML Data Engineering, ML engineering, or Data Platform consultants.
Note: Must to be local to DMV area (Maryland / Viriginia / District of Columbia)
Type: 100% Onsite and In-person Interview in Maryland
Education :
Bachelor''s degree in Computer Science, Data Science, Engineering, or a related field (Master''s preferred)
Job Responsibilites:
· 10 years of experience in data engineering, ML engineering, or data platform roles, with at least 2 years in production data product or data service design.
· Expert-level SQL and strong Python skills; experience designing and owning production data systems with high reliability requirements.
· Deep expertise with cloud-native data platforms on AWS, (e.g., Redshift/Glue, Synapse/ADF, BigQuery/Dataflow, Databricks, or Snowflake).
· Proven experience with real-time/streaming data systems (Kafka, Kinesis, Flink, Spark Streaming, or equivalent) at production scale.
· Strong understanding of data modeling paradigms (data vault, lakehouse, data mesh) and the trade-offs between them.
· Hands-on experience with data quality frameworks and data catalog/lineage tooling.
· Track record of integrating ML models into data pipelines or building AI-powered data services.
· Experience with API design, event-driven architecture, and data contract patterns.