Java Machine Learning Engineer Job Description [Updated for 2025]

In the era of smart technology, the demand for Java Machine Learning Engineers is skyrocketing.

As technology progresses, the need for proficient professionals who can construct, enhance, and safeguard our machine learning systems becomes more critical.

But let’s delve a bit deeper: What’s truly expected from a Java Machine Learning Engineer?

Whether you are:

• A job seeker trying to understand the core responsibilities of this role,
• A hiring manager crafting the profile of the perfect candidate,
• Or simply fascinated by the intricacies of machine learning engineering,

You’ve landed on the right page.

Today, we present a customizable Java Machine Learning Engineer job description template, designed for effortless posting on job boards or career sites.

Let’s dive in.

Java Machine Learning Engineer Duties and Responsibilities

Java Machine Learning Engineers blend knowledge of machine learning, data science, and programming in Java to build algorithms and systems for data analysis, prediction, and automated decision making.

The duties and responsibilities of a Java Machine Learning Engineer include:

• Designing, developing and implementing machine learning algorithms using Java
• Analyzing and interpreting complex datasets to extract insights and decide on the appropriate techniques for the task
• Building machine learning models from scratch and customizing existing models
• Implementing machine learning models into production systems
• Testing models and conducting performance tuning to ensure their effectiveness
• Collaborating with data engineers to build data and model pipelines
• Applying machine learning and data mining techniques for detection of outliers, prediction, clustering, and other data analysis tasks
• Maintaining and optimizing existing machine learning applications
• Keeping up-to-date with the latest technology trends in machine learning and artificial intelligence
• Documenting and communicating the design and functionality of the machine learning systems

 

Java Machine Learning Engineer Job Description Template

Job Brief

We are in search of a dedicated and talented Java Machine Learning Engineer to join our team.

Your key responsibilities will include designing and implementing machine learning models, integrating them with our existing systems, and creating innovative solutions for our business needs.

The ideal candidate has a strong background in Java programming and a deep understanding of machine learning algorithms.

You should be familiar with the software development life cycle (SDLC) and be able to apply machine learning concepts to real-world problems.

 

Responsibilities

• Design and develop machine learning systems using Java.
• Research and implement appropriate machine learning algorithms and tools.
• Execute full software development life cycle (SDLC).
• Understand business requirements and devise solutions using machine learning models.
• Integrate machine learning solutions into our existing systems.
• Run machine learning tests and experiments.
• Perform statistical analysis and fine-tuning using test results.
• Train and retrain systems when necessary.
• Maintain updated knowledge of developments in machine learning and programming.

 

Qualifications

• Proven experience as a Machine Learning Engineer or similar role.
• Understanding of machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Deep knowledge of math, probability, statistics and algorithms.
• Ability to write robust code in Java.
• Excellent knowledge of data structures, data modeling and software architecture.
• Familiarity with machine learning models (like decision trees, neural networks etc.) and their real-world advantages/drawbacks.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• BS degree in Computer Science, Mathematics, Computational Linguistics or similar field.

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Java Machine Learning Engineer
• Work Environment: Office-based with options for remote work. Travel may be required for team meetings or client consultations.
• Reporting Structure: Reports to the Lead Machine Learning Engineer or AI Development Manager.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $143,786 minimum to $235,648 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Java Machine Learning Engineer Do?

Java Machine Learning Engineers primarily work for technology companies, corporations across various industries, or as independent contractors in the field of Artificial Intelligence.

Their primary responsibility involves designing, developing, and maintaining machine learning systems using Java, a popular programming language known for its robustness and versatility.

They utilize machine learning libraries available in Java, such as Weka, DL4j, or JavaML to implement algorithms or develop models that can learn and improve from experience.

This can be used for tasks like predictive analysis, recommendation systems, pattern recognition, and data mining, among others.

These engineers often collaborate with data scientists to transform data science prototypes and implement algorithms, as well as to understand the problem at hand and the data that is being used.

They frequently work with large and complex datasets, managing and optimizing data systems for better performance of machine learning models.

A Java Machine Learning Engineer also carries out tests and experiments to fine-tune the models and algorithms, ensuring their accuracy and reliability.

Beyond this, they are often tasked with staying current on industry trends and emerging technologies, as the field of machine learning is fast-paced and constantly evolving.

They may also be responsible for documenting their processes and findings, and communicating their results to team members and stakeholders.

 

Java Machine Learning Engineer Qualifications and Skills

A proficient Java Machine Learning Engineer should possess a unique blend of technical knowledge, problem-solving abilities, and creativity.

Here are some skills and qualifications that are typically required for this role:

• Strong knowledge in Java programming language and machine learning algorithms to design, develop, and implement intelligent systems.
• Experience with data science toolkits, such as NumPy, SciPy, and TensorFlow, to manipulate and analyze complex, high-volume, high-dimensionality data.
• Strong understanding of databases, data structures, and data modeling to manage large volumes of data effectively.
• Good mathematical skills and statistical knowledge to understand and apply appropriate machine learning models and other computational algorithms.
• Exceptional problem-solving skills to identify, research, and resolve technical problems.
• Strong communication skills to collaborate effectively with other team members, stakeholders, and to translate complex findings into understandable insights and strategies.
• Adaptability and continuous learning to stay updated with the latest industry trends and advancements in machine learning and artificial intelligence.
• Experience with version control/git and software testing methods to ensure the delivery of high-quality software solutions.

 

Java Machine Learning Engineer Experience Requirements

Java Machine Learning Engineers typically start their careers with a Bachelor’s degree in Computer Science, Statistics, or a related field.

Along with their degree, they should ideally have 1 to 2 years of experience working in a software development role, with emphasis on Java programming and machine learning applications.

This experience could come from internships, part-time roles, or even project work during their studies.

Those with 2 to 3 years of experience in machine learning projects may be eligible for mid-level positions.

They should have a strong understanding of machine learning algorithms, Java programming language, and be capable of developing complex machine learning models.

Candidates with more than 3 years of experience should have a solid background in data preprocessing, model selection, training, validation, and testing.

They should be proficient in using machine learning libraries and APIs, and have experience with big data tools.

For those with more than 5 years of experience, they should have a deep understanding of machine learning, artificial intelligence, and deep learning.

They may be expected to have leadership skills, as they could be tasked with guiding teams and overseeing machine learning projects.

They may also have experience with cloud services, distributed computing, and other advanced technologies.

Additional certifications in Java programming, machine learning, or data science can significantly enhance a candidate’s qualifications.

Continuing education and staying abreast of new technologies and trends in machine learning is also highly beneficial.

 

Java Machine Learning Engineer Education and Training Requirements

Java Machine Learning Engineers typically hold a bachelor’s degree in computer science, data science, or a related field.

Courses in machine learning, algorithms, data structures, and statistics, which are part of these degree programs, provide a solid foundation for aspiring Java Machine Learning Engineers.

In addition, knowledge and experience in Java programming are crucial for this role, as it involves developing machine learning models using Java-based tools and libraries.

Many employers prefer candidates with a master’s degree or Ph.D. in a relevant field, as these programs often provide the opportunity to work on more complex projects and learn advanced techniques.

Certifications in machine learning and Java, such as Oracle Certified Professional: Java SE Programmer or Google’s Professional Machine Learning Engineer, while not mandatory, can enhance job prospects by demonstrating proficiency in these areas.

Continuous learning is also essential in this role due to the rapid evolution of machine learning technologies and techniques.

Therefore, regular participation in workshops, online courses, and other forms of professional development is highly recommended.

 

Java Machine Learning Engineer Salary Expectations

A Java Machine Learning Engineer can expect to earn an average salary of $112,806 (USD) per year.

However, the actual compensation can vary depending on factors such as years of experience, educational background, geographical location, and the specific needs of the hiring company.

 

Java Machine Learning Engineer Job Description FAQs

What skills does a Java Machine Learning Engineer need?

A Java Machine Learning Engineer must have strong programming skills, especially in Java.

They should have a deep understanding of machine learning concepts and algorithms.

Other essential skills include knowledge of data structures, statistics, and the ability to work with large data sets.

Familiarity with Java libraries and frameworks used in machine learning, such as Deeplearning4j, is also crucial.

 

Do Java Machine Learning Engineers need a degree?

Yes, most Java Machine Learning Engineers hold a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

However, some companies may consider candidates who have equivalent work experience in Java programming and machine learning.

Having certifications in machine learning or Java could also be beneficial.

 

What should you look for in a Java Machine Learning Engineer resume?

Look for a solid background in Java programming and machine learning.

The candidate should have experience working with large data sets and implementing machine learning models.

Proficiency in using Java libraries and frameworks for machine learning is an asset.

Also, consider any relevant projects or publications they’ve worked on, as these can further demonstrate their skills and knowledge.

 

What qualities make a good Java Machine Learning Engineer?

A good Java Machine Learning Engineer has a problem-solving mindset, as they often need to develop solutions for complex data problems.

They must also have excellent attention to detail, as the quality of their coding and algorithms directly impacts the outcomes of their work.

Good communication skills are necessary as well, as they often need to collaborate with other team members and explain complex concepts to non-technical stakeholders.

 

Is it difficult to hire Java Machine Learning Engineers?

Yes, it can be challenging to hire Java Machine Learning Engineers due to the specific technical skill set required for the job.

The demand for these professionals is high while the number of qualified candidates is limited.

Therefore, recruiters may need to offer competitive compensation and benefits packages to attract top talent.

 

Conclusion

And there we have it.

Today, we’ve delved into the intricate and dynamic world of being a Java Machine Learning Engineer.

But guess what?

It’s not just about creating algorithms.

It’s about shaping the future of artificial intelligence, one data point at a time.

With our comprehensive Java Machine Learning Engineer job description template and real-world examples, you’re ready to take the next step.

But why limit yourself?

Immerse yourself further with our job description generator. It’s your ultimate tool for crafting precise job listings or refining your resume to perfection.

Remember:

Every algorithm is a piece of the greater AI jigsaw puzzle.

Let’s create that future. Together.

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