Company:
https:/www.energyjobline.com/sitemap.xml
Location: Atlanta
Closing Date: 28/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description
REQUIREMENTS:
- Experience: 6+ Years
- Proficiency in developing and implementing machine learning models.
- Experience in creating data visualizations using Tableau.
- Experience in conducting research on generative AI techniques.
- Strong understanding and experience with natural language processing techniques.
- Knowledge of retrieval-augmented generation methods.
- Expertise in data preprocessing and feature engineering.
- Experience in evaluating and optimizing machine learning models.
- Proficiency in deploying and integrating machine learning models into production environments.
- Excellent problem-solving and analytical skills, with the ability to work with complex datasets.
- Strong verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
- Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
RESPONSIBILITIES:
- Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation.
- Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
- Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
- Understanding and relating technology integration scenarios and applying these learnings in projects.
- Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Qualifications:
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
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