Model Validation – Who Needs Engineers
https://whoneedsengineers.com/wne_live
Software Engineering RecruitmentTue, 08 Oct 2024 07:20:02 +0000en-US
hourly
1 https://wordpress.org/?v=6.6.2https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngModel Validation – Who Needs Engineers
https://whoneedsengineers.com/wne_live
3232ML Engineer
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/ml-engineer/
Tue, 08 Oct 2024 07:20:02 +0000https://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