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AI Engineer Job Opening In Singapore, Singapore – Now Hiring SonarSource


Job description

On a daily basis, you will:

  • Conduct applied research in integrating AI/LLM techniques with software engineering practices to improve code quality, testing, and software maintenance.
  • Design and implement experimental prototypes to demonstrate feasibility of new methodologies.
  • Training and fine-tuning LLMs (both commercial and open-source) to improve performance
  • Implement and maintain pipelines to collect high quality large datasets to train/finetune LLMs. 
  • Prepare, analyze and preprocess large datasets of code used to train LLMs
  • Collaborate with cross-functional teams, including software engineers, and product managers, to translate research findings into practical applications.
  • Stay informed about the latest advancements in AI/ML and software engineering to identify emerging trends and opportunities for innovation.
  • Participate in code reviews and provide constructive feedback to other developers/researchers.

  • Implement best practices from DevOps to maintain a readable codebase, testable infrastructure and documented research artifacts
  • The skills you will demonstrate:

  • Masters degree (or equivalent) in Computer Science, Engineering, or related field.

  • At least 3 years of experience as a ML/AI/LLM Engineer, ideally in Software Engineering.
  • Strong research background in AI, ML, and SE 
  • Experience working with generative AI technologies (e.g. GPT-4, BedRock) 
  • Experience in developing tools or frameworks that utilize AI/ML to enhance software development processes.
  • Familiarity with techniques for automated code generation, program synthesis, and software testing using AI/ML
  • Experience in developing and prototyping in Python and R
  • Understanding of software development processes and terminology.
  • Excellent debugging, optimization skills, communication and teamwork skills
  • Excellent problem-solving skills and the ability to work independently or as part of a team.
  • Nic to have:

  • Knowledge of reinforcement learning algorithms and experience with model training
  • Experience in publishing research papers in top-tier conferences and journals
  • Familiarity with AWS services such as Lambda, EC2, ECS, SNS, SQS, and RDS is an advantage
  • Experience using and configuring static analyzers as part of a research project
  • We Value Diversity, Equity, and Inclusion:At Sonar, we believe that our diversity is our strength.

    We are a global company that values and respects different backgrounds, perspectives, and cultures.We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best.

    We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.All offers of employment at Sonar are contingent upon the precise results of a comprehensive background check and reference verification conducted before the start date.Applications that are submitted through agencies or third party recruiters will not be considered.

    Why you will love it here:• Our culture and mission set us apart.

    We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!).

    We believe that the best idea wins and everyone has a voice.• We believe that great people make a great company.

    We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains.

    Our 550+ SonarSourcers from 33 different nationalities can relate!• We embrace work-life balance.

    It is important to maintain a healthy work-life balance.

    This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday).• We have a growth mindset.

    We love to learn and believe that continuous education is critical to our success.

    In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.We prioritize Diversity, Equity, and Inclusion:At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures.We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer.

    All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your AI Engineer Potential: Insight & Career Growth Guide


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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SonarSource adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Singapore laws and regulations

    What Is the Average Salary Range for AI Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for AI Engineer?

    Key qualifications for AI Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for AI Engineer?

    To improve your chances of getting hired for AI Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for AI Engineer Job Success

    SonarSource interview tips for AI Engineer

    Here are some tips to help you prepare for and ace your AI Engineer job interview:

    Before the Interview:

    Research: Learn about the SonarSource's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your AI Engineer interview at SonarSource, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SonarSource's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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