Machine Learning Engineer

Tiltedge Solutions; Plano (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Tiltedge Solutions is seeking an ML Engineer with hands-on software engineering skills using Python and PySpark, Databricks, and Spark. You will work with Kafka, Snowflake, MongoDB, PostgreSQL, Redis, and Azure cloud to build robust data and ML pipelines.

Experience with Delta Lake, MLflow, and workflow orchestration is required, and familiarity with ELK is a plus. GenAI knowledge is welcomed but note that production-level ML/DS pipelines are essential.

Qualifications

• Hands-on ML/DS with production pipeline design and development.
• Strong Python-based data apps and API development experience.

Skills

Python

PySpark

Spark

Kafka

ML pipelines

Data pipelines

Tools

Databricks

Snowflake

MongoDB

PostgreSQL

Redis

Azure cloud

Delta Lake

MLflow

ELK (Elastic Kibana)

FastAPI

GenAI

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.