Accuweather

COMPANY 

AccuWeather, recognized and documented as the most accurate source of weather forecasts and warnings in the world, has saved tens of thousands of lives, prevented hundreds of thousands of injuries and tens of billions of dollars in property damage. With global headquarters in State College, PA and other offices around the world, AccuWeather serves more than 1.5 billion people daily to help them plan their lives and get more out of their day through innovative digital media properties, such as AccuWeather.com and mobile, as well as AccuWeather for Business (AFB), radio, television, newspapers, and the 24/7 AccuWeather Network.

Additionally, AccuWeather produces and distributes news, weather content, and video for more than 180,000 third-party websites. Among AccuWeather’s many innovative and award-winning features free to the public are MinuteCast® Minute by Minute™ forecasts with Superior Accuracy™. Further, AccuWeather serves more than half of Fortune 500 companies and thousands of businesses globally. 

SUMMARY

To support AccuWeather’s continued focus on innovation and generating superior weather products, we are seeking a highly skilled and experienced Machine Learning Engineer with proficiency in Databricks to join our innovative team. As a Machine Learning Engineer, you will play a crucial role in designing, implementing, and deploying machine learning models and solutions. Your expertise in leveraging Databricks for data processing and model development will be instrumental in driving the success of our advanced analytics initiatives. 

DUTIES AND RESPONSIBILITIES:

1. Machine Learning Model Development: Design, implement, and deploy machine learning models to address business challenges and enhance decision-making processes.
2. Databricks Utilization: Utilize Databricks for efficient data processing, feature engineering, and model development, optimizing workflows for scalability and performance.
3. Data Exploration and Preparation: Collaborate with data scientists and data engineers to explore and prepare data for machine learning applications, ensuring data quality and reliability.
4. Model Training and Evaluation: Train, evaluate, and fine-tune machine learning models, employing best practices to achieve optimal performance and accuracy.
5. Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand requirements and deliver effective machine learning solutions.
6. Continuous Learning: Stay up-to-date on industry trends, emerging technologies, and advancements in machine learning to enhance the team's capabilities and methodologies.
7. Documentation: Maintain comprehensive documentation of machine learning models, processes, and experiments.
8. Performance Optimization: Identify and implement optimizations in Databricks workflows to improve overall efficiency and reduce processing times.

QUALIFICATIONS:

1. Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
2. Experience:

• Proven experience (2 years) as a Machine Learning Engineer and/or Data Scientist with a focus on model development and deployment.
• Demonstrated expertise in utilizing Databricks for data processing and analytics.

1. Technical Skills:

• Proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong programming skills in languages such as Python or Scala.
• Experience with Databricks notebooks, clusters, and job execution.
• Experience with Databricks MLlib and MLflow.

1. Problem-Solving: Strong analytical and problem-solving skills, with the ability to translate business requirements into effective machine learning solutions.
2. Communication Skills: Excellent communication skills to collaborate with multidisciplinary teams and convey complex technical concepts to non-technical stakeholders.

Advantages:

• Experience with cloud platforms (e.g., Azure, AWS, GCP).
• Knowledge of big data technologies (e.g., Spark).
• Familiarity with MLOps practices.

WHY JOIN US:

This role provides opportunities for career growth within our organization, with the potential to lead and contribute to cutting-edge machine learning and data science projects.

If you are a highly skilled Machine Learning Data Scientist with a strong background in Databricks and a passion for turning data into actionable insights, we invite you to apply for this exciting opportunity. Join us in shaping the future of data science and machine learning!

AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEO is the Law poster here and its supplement here. The pay transparency policy is available here. 

AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to human.resources@accuweather.com and let us know the nature of your request and your contact information.