Position: Machine Learning Engineer – Python/Scala with Data Engineering Background
Location: Austin, TX Hybrid
Hiring mode: Fulltime
Description:
Role Overview:
We are looking for an experienced Machine Learning Engineer with a strong foundation in Data Engineering to work on innovative data-driven solutions at Apple, in partnership with Wipro. The ideal candidate should have expertise in building machine learning models, data pipelines, and integrating large-scale data systems using Python or Scala. This role demands deep technical expertise, collaboration skills, and the ability to work with cross-functional teams in a fast-paced environment.
Required Qualifications:
Programming Languages: Proficiency in Python and/or Scala.
Data Engineering Expertise: Experience in building and maintaining large-scale data pipelines, with strong knowledge of ETL processes, data transformation, and integration.
Machine Learning Frameworks: Hands-on experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Spark MLlib, or similar frameworks.
Big Data Tools: Experience working with big data tools like Apache Spark, Hadoop, or Kafka.
Cloud Platforms: Familiarity with cloud environments (AWS, Google Cloud, Azure) and services related to data storage, processing, and machine learning (e.g., S3, EMR, BigQuery, Databricks).
Data Storage: Experience with relational and NoSQL databases like MySQL, PostgreSQL, Cassandra, and Redis.
CI/CD Pipelines: Experience in building automated pipelines for deploying models and managing continuous integration and delivery.
Version Control: Strong knowledge of Git, GitHub, or GitLab for code management.
Problem-solving: Strong analytical skills and the ability to handle complex data challenges.
Skill Matrix for ML Engineer – Python/Scala with Data Engineering
Skill Area
Proficiency Level Required (1-5)
Programming Languages
Python
Scala
Machine Learning
Model Building
TensorFlow/PyTorch
Scikit-learn
Data Engineering
ETL Pipeline Development
Apache Spark
Kafka
Big Data & Cloud
AWS/Azure/GCP
Databricks