Data Engineer

2 days ago


Chicago, Illinois, United States Lorven Technologies Full time
Job Description

Lorven Technologies is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing and developing robust machine learning models and algorithms that solve complex business problems.

You will work closely with cross-functional teams to understand business requirements and translate them into machine learning solutions. Your expertise in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn will be essential in developing high-performance analytic solutions based on data sets measured in the billions of transactions.

Responsibilities:

  • Collaborate with cross-functional teams to understand business requirements and translate them into machine learning solutions
  • Design and develop robust machine learning models and algorithms that solve complex business problems
  • Clean, preprocess, and analyze data to ensure its suitability for machine learning applications
  • Implement end-to-end machine learning pipelines, from data collection and feature engineering to model training and deployment
  • Select appropriate machine learning techniques and algorithms based on the problem's requirements and constraints
  • Perform exploratory data analysis and generate insights to guide model development
  • Evaluate and fine-tune machine learning models for performance, accuracy, and reliability
  • Deploy machine learning models into production environments, ensuring scalability and maintainability
  • Collaborate with technical team to integrate machine learning solutions into applications
  • Stay up-to-date with the latest advancements in machine learning and recommend innovative approaches to enhance our capabilities
  • Document and communicate machine learning solutions, findings, and insights to technical and non-technical stakeholders

Requirements:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
  • Proven experience as a machine learning engineer, working on complex machine learning projects
  • Strong programming skills in languages like Python, R, or similar
  • Solid understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques
  • Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
  • Proficiency in data preprocessing, feature engineering, and data visualization
  • Experience with cloud platforms such as AWS, Azure, or GCP for deploying machine learning models
  • Familiarity with version control systems (e.g., Git) and collaborative development practices
  • Strong problem-solving skills and ability to troubleshoot and optimize machine learning models
  • Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders
  • Proven ability to work in a collaborative team environment and drive projects to completion

Preferred Qualifications:

  • Working proficiency in using Python/Scala, Spark (tuning jobs), SQL, Hadoop platforms to build Big Data products & platforms
  • Good programming skills in Java and spring boot and Junit
  • Knowledge in software development test approaches & frameworks
  • Familiarity with RESTful APIs and micro-services architectures
  • Experience in working with CI/CD
  • Experience in working with SQL database like Postgres, Oracle
  • Preferably with hands-on experience with Hadoop big data tools (Hive, Impala, Spark)
  • Experience with data pipeline and workflow management tools: NIFI, Airflow
  • Comfortable in developing shell scripts for automation
  • Good troubleshooting and debugging skills
  • Proficient in standard software development, such as version control, testing, and deployment
  • Demonstrated basic knowledge of statistical analytical techniques, coding, and data engineering
  • Ability to quickly learn and implement new technologies
  • Ability to Solve complex problems with multi-layered data sets
  • Ability to innovate and determine new approaches & technologies to solve business problems and generate business insights & recommendations
  • Ability to multi-task and strong attention to detail
  • Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
  • Good communication skills
  • both verbal and written and strong relationship, collaboration skills, and organizational skills


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