Model Validation – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Tue, 08 Oct 2024 07:20:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Model Validation – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 ML Engineer https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/ml-engineer/ Tue, 08 Oct 2024 07:20:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/ml-engineer/ ML Engineer

Job Description:

    As a Machine Learning Engineer, you will be integral to the advancement of innovative offerings. You will collaborate with a creative team focused on integrating Generative AI capabilities into our database products. Your responsibilities will include designing, developing, and maintaining sophisticated large language models for Generative AI applications that respond effectively to textual inputs. You will also carry out extensive data processing and ensure the integrity and quality of data through cleansing and verification procedures. Another critical aspect of your role involves data curation, where you will implement effective labeling and classification strategies. Employing Natural Language Processing techniques, you will categorize textual inputs while navigating various complexities of natural language intent. You will conduct thorough testing and validation to guarantee the precision and efficiency of the models. Additionally, you will remain updated with the latest trends and advancements in AI and machine learning, applying innovative methodologies to enhance our systems continually. Engaging with stakeholders will be crucial as you translate complex business requirements into robust technical solutions. This position involves participating in all stages of the project lifecycle, from initial conception through deployment and ongoing maintenance, ensuring alignment with strategic objectives and maximizing value delivery.

IT Languages:

  • Python
  • Java
  • C++
  • SQL

Key responsibilities include designing and developing machine learning models, ensuring data quality, and engaging with stakeholders.:

    Design, develop, and maintain large language models for Generative AI applications based on textual inputs;; Perform data processing, cleansing, and quality verification;; Ensure proper labeling and classification for data curation;; Utilize NLP techniques for categorizing textual inputs;; Conduct rigorous testing and validation processes for model accuracy;; Stay informed about advancements in AI and machine learning;; Translate complex business requirements into technical solutions;; Participate in the full project lifecycle from conception to maintenance

Spoken Languages:

  • English

Skillset:

  • Machine Learning
  • Data Engineering
  • Natural Language Processing
  • Large Language Models
  • Data Cleansing
  • Model Validation

Soft Skills:

  • Excellent problem-solving skills
  • Strong communication skills
  • Ability to work independently
  • Collaborative mindset

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • Minimum of 5 years of experience in developing machine learning algorithms
  • Extensive knowledge of large language models and natural language processing techniques
  • Strong knowledge of SQL
  • Proficiency in programming languages such as Python, Java, or C++

Years of Experience:

    5

Location:

    United States

Job Benefits:

  • Medical, dental, and vision insurance
  • Short and long-term disability insurance
  • Life insurance and AD&D
  • Flexible Spending Accounts
  • 401(k) savings plan with company match
  • Paid time off including flexible vacation
  • Paid sick leave
  • Paid parental leave
  • Employee Stock Purchase Plan
  • Financial planning assistance

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We prioritize innovation and inclusivity, fostering a diverse work environment where every team member's voice is valued. We are committed to work-life balance and offer a competitive benefits package that emphasizes employee well-being and community involvement.

Opportunities For Advancement:

  • Career development programs, Mentorship opportunities, Possibility of promotion to senior roles

Visa Sponsorship:

    Available
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