Gen AI Engineer – Remote Job.
Remote, Peru
Bertoni Solutions
We are a technology consulting company specializing in digital transformation, IT staff augmentation, custom software development and quality assurance.Company Description
We are a multinational team of individuals who believe that, with the right knowledge and approach, technology is the answer to the challenges businesses face today. Since 2016, we have brought this knowledge and approach to our clients, helping them translate technology into their success.
With Swiss roots and our own development team in Lima and across the region, we offer the best of both cultures: the talent and passion of Latin American professionals combined with the organizational skills and Swiss mindset.
Job Description
We’re seeking a highly skilled and experienced GenAI Engineer with a strong background in Data Engineering and Software Development to join our team. The ideal candidate will focus on enhancing our information retrieval and generation capabilities, with specific experience in Azure AI Search, data processing for RAG, multimodal data integration, and familiarity with Databricks.
In this role, you will be responsible for developing a comprehensive framework that focuses on data ingestion processes (vector databases and text-to-SQL). This framework will ensure seamless integration and accessibility of data, which will be consumed by an LLM-based chatbot to optimize and enhance semiconductor manufacturing processes.
Key Responsibilities:
- Design, develop, and optimize Retrieval-Augmented Generation models to improve information retrieval and generation processes within our applications.
- Develop and maintain search solutions using Azure AI Search to ensure efficient and accurate information access
- Process and prepare data to support RAG workflows, ensuring data quality and relevance.
- Integrate and manage various data types (e.g., text, images) to enhance retrieval and generation capabilities.
- Work closely with cross-functional teams to integrate data into our existing retrieval ecosystem, ensuring seamless functionality and performance.
- Ensure the scalability, reliability, and performance of data retrieval in production environments.
- Stay updated with the latest advancements in AI, ML, and data engineering to drive innovation and maintain a competitive edge.
Projects include:
- Azure AI Search Indexing: Implementing advanced search indexing solutions using Azure AI to enhance data accessibility and retrieval.
- LLM RAG Chatbot: Support development of chatbot using RAG to improve customer support and interaction.
Qualifications
IMPORTANT: This opportunity is exclusively available for bilingual applicants (Native Spanish/Portuguese fluency and English advanced fluency or vice versa) currently living/located in Latin America with overall 6 years of experience working in a Sr Data Engineer role. If you do not meet these criteria, we kindly ask that you refrain from applying, as applications that do not meet these requirements will not be considered.
What we’re looking for:
- Bachelor’s degree in computer science, Data Science, or a related field.
- Master’s degree in data science or a related field is preferred.
- Approximately 8 years of experience in Data Science, MLOps, and Data Engineering
- Proven experience in AI and ML solution implementation, particularly in semiconductor manufacturing.
- Proficiency in Python
- Proven experience in data engineering and software development, with a focus on building and deploying RAG pipelines or similar information retrieval systems.
- Familiarity with processing multimodal data (e.g., text, images) for retrieval and generation tasks.
- Strong understanding of database systems (SQL and NoSQL) and data warehousing solutions.
- Proficiency in Azure AI, Databricks, and other relevant tools and technologies.
- Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment.
- Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
- Experience in developing and deploying scalable ML models in production environments.
- Advanced written and spoken English fluency is a MUST HAVE (from B2 level to C1/C2).
Additional Information
Please note that we will not be moving forward with any applicants who do not meet the following mandatory requirements:
- Experience in AI and ML solution implementation, particularly in semiconductor manufacturing (can be in any manufacturing industry).
- Proficiency in Python
- Building and deploying RAG pipelines or similar information retrieval systems
- Database systems (SQL and NoSQL) and data warehousing solutions.
- Proficiency in Azure AI, Databricks, and other relevant tools and technologies.
- Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
- Experience in developing and deploying scalable ML models in production environments.
- Advanced written and spoken English fluency is a MUST HAVE (from B2 level to C1/C2)
- MUST BE located in Central or South america.
More Details:
Contract type: Independent contractor (This contract does not include PTO, tax deductions, or insurance. It only covers the monthly payment based on hours worked).
Location: The client is based in the United States; however, the position is 100% remote.
Contract/project duration: Initially through 12/31/2025, with the possibility of extension.
Time zone and working hours: Full-time, Monday to Friday (8 hours per day, 40 hours per week), from 8:00 AM to 5:00 PM PST (U.S. time zone).
Equipment: Contractors are required to use their own laptop/PC.
Start date expectation: As soon as possible.
Payment methods: International bank transfer, PayPal, Wise, Payoneer, etc.
Bertoni Process Steps:
Requirements verification video interview.
Partner/Client Process Steps:
CV review.
1 Technical video interview with our partner.
1 or 2 video interviews with the end client.
Why Join Us?
- Be part of an innovative team shaping the future of technology.
- Work in a collaborative and inclusive environment.
- Opportunities for professional development and career growth.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Chatbots Computer Science Databricks Data quality Data Warehousing Engineering Generative AI LLMs Machine Learning ML models MLOps NoSQL Pipelines Python RAG SQL
Perks/benefits: Career development Gear
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