Industry: Technology, Artificial Intelligence, Machine Learning, Construction
Employment Type: Part Time
Work Hours: 8
Salary: $20 To $30/An Hour
Location: United States
Full Job Description
Job Advertisement: Java Machine Learning Engineer
About Us
Fisher Industries is a premier company in the field of construction and materials production, located in Dickinson, North Dakota. With over 60 years of experience, we are dedicated to providing top-notch services and innovative solutions to our clients. As we continue to grow and integrate advanced technologies into our operations, we are seeking a skilled and passionate individual to join our team as a Java Machine Learning Engineer.
Position Overview
We are looking for a proactive and innovative Java Machine Learning Engineer who will leverage their expertise in Java programming and machine learning to develop advanced algorithms and solutions for a variety of applications within our organization. This role will offer you the opportunity to work in a collaborative environment, where your contributions will have a significant impact on our operations and overall success.
Key Responsibilities
- Design and implement machine learning algorithms using Java to solve complex business problems.
- Collaborate with cross-functional teams to gather requirements and understand business needs for machine learning applications.
- Develop and maintain data processing pipelines to cleanse and prepare data for analysis.
- Utilize various machine learning frameworks and libraries in conjunction with Java to enhance product functionality.
- Conduct research and make recommendations for enhancements or modifications to existing machine learning solutions.
- Perform testing and validation of algorithms to ensure robustness and accuracy.
- Monitor and analyze system performance, making improvements as necessary.
- Create technical documentation to support the development process.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- Proven experience in Java programming and strong understanding of object-oriented programming principles.
- Hands-on experience with machine learning concepts, techniques, and frameworks such as TensorFlow, Weka, or MOA.
- Familiarity with data preprocessing, statistical analysis, and model selection techniques.
- Understanding of data structures and algorithms.
- Experience with databases and data manipulation using SQL.
- Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team environment.
- Strong communication skills to convey technical concepts clearly to non-technical stakeholders.
Preferred Qualifications
- Master’s degree in Computer Science, Data Science, or related fields.
- Experience working in cloud computing environments and knowledge of big data technologies (e.g., Hadoop, Spark).
- Previous experience in the construction or manufacturing industry is a plus.
What We Offer
At Fisher Industries, we value our employees and strive to provide a supportive and dynamic working environment. When you join our team, you can expect:
- Competitive salary and comprehensive benefits package.
- Opportunities for continuous learning and professional development.
- A collaborative work culture that fosters innovation and teamwork.
- The chance to be part of a forward-thinking company at the forefront of technology in the construction industry.
- Flexible work schedules and a focus on work-life balance.
Conclusion
If you are passionate about merging your knowledge of Java programming with machine learning to drive impactful solutions, we invite you to apply for the Java Machine Learning Engineer position at Fisher Industries. Join us in our mission to enhance efficiency and effectiveness at Fisher Industries through advanced technological solutions.
FAQs
- 1. What is the work environment like at Fisher Industries?
Our work environment encourages collaboration and innovation. We support our employees with resources and flexibility to inspire excellence. - 2. Do I need prior experience in the construction industry?
While prior experience in the construction industry is beneficial, it is not mandatory. We value a strong foundation in machine learning and Java programming more. - 3. Are there opportunities for career growth?
Yes, we believe in promoting from within and providing continuous learning opportunities to help our employees advance their careers. - 4. What types of projects will I be working on?
You will work on a variety of projects that leverage machine learning algorithms to optimize our operations and improve decision-making processes. - 5. What qualifications are necessary for this position?
A Bachelor’s degree in a relevant field and hands-on experience in Java programming and machine learning are essential for this position.
