Vector Databases – Who Needs Engineers
https://whoneedsengineers.com/wne_live
Software Engineering RecruitmentMon, 07 Oct 2024 16:00:02 +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.pngVector Databases – Who Needs Engineers
https://whoneedsengineers.com/wne_live
3232AI/ML Engineer
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/ai-ml-engineer-5/
Mon, 07 Oct 2024 16:00:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/ai-ml-engineer-5/AI/ML Engineer
Job Description:
We are looking for a skilled AI/ML Engineer to join our dynamic team, focusing on the design and development of innovative generative AI solutions. This role emphasizes the creation and optimization of applications that utilize large language models (LLMs), Retrieval-Augmented Generation (RAG) systems, and vector databases. You will collaborate with various teams, including data scientists and engineers, to effectively deploy generative AI technologies that tackle real-world challenges. The successful candidate will be responsible for developing efficient data embedding pipelines, managing vector storage solutions, implementing RAG frameworks, and fine-tuning LLMs to align with diverse project requirements. Additionally, your contributions will extend to enhancing AI system security, optimizing performance, and developing user-friendly query interfaces.
IT Languages:
Python
JavaScript
TypeScript
As an AI/ML Engineer, you will undertake a variety of responsibilities aimed at harnessing the power of generative AI technologies.:
Generate embeddings for unstructured data and manage storage in vector databases like ChromaDB or Pinecone.;; Automate processes to ensure embeddings are continually updated with new data.;; Experiment with various embedding models to determine the most effective options for each project.;; Develop natural language query interfaces that integrate LLMs with both structured and unstructured datasets.;; Implement dynamic prompting techniques and function calling to enhance query handling capabilities of LLMs.;; Design and maintain a QA backend for interaction with vectorized data.;; Implement RAG systems to improve response accuracy by using relevant context from retrieved data.;; Classify and route queries appropriately between structured and unstructured data sources.;; Utilize frameworks like LangChain or LlamaIndex to manage workflows effectively.;; Fine-tune and optimize LLMs for various use cases, continuously testing and refining model performance.;; Monitor system performance and optimize for scalability and efficiency while adhering to security protocols.
Spoken Languages:
English;; German;; French
Skillset:
Large language models
Embedding generation
Vector databases
Retrieval-Augmented Generation
Natural language processing
Machine learning frameworks
Cloud services
Containerization
Soft Skills:
Strong problem-solving abilities
Effective communication skills
Ability to collaborate in cross-functional teams
Qualifications:
Master’s Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
Strong mathematical or statistical background preferred
Experience with large language models such as GPT or LLaMA
Proficiency in embedding generation and managing vector stores
Years of Experience:
5
Location:
United States
Job Benefits:
Health insurance
Retirement savings plan
Paid time off
Professional development opportunities
Flexible working hours
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
The company fosters a culture of innovation and collaboration, encouraging team members to explore new ideas and technologies. A supportive environment is created where employees are empowered to take initiative and contribute to meaningful projects.
Opportunities For Advancement:
Career growth within the AI/ML field, Access to training and development programs, Opportunities to lead projects
Visa Sponsorship:
Available
]]>Bioinformatician / Data Scientist
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/bioinformatician-data-scientist/
Tue, 24 Sep 2024 14:00:03 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/bioinformatician-data-scientist/Bioinformatician / Data Scientist
Job Description:
Join us in tackling some of the most significant challenges in data science related to plant breeding, contributing to sustainable food production for the future. We are seeking a Bioinformatician / Data Scientist to be filled as soon as possible. This role is based at our headquarters in Einbeck, Lower Saxony, Germany, and offers a permanent full-time contract. In this position, you will engage in advanced plant breeding, employing modern data science methodologies. A proactive and creative mindset will be essential as you collaborate with breeding and research teams worldwide to develop innovative solutions. Your work will focus on building new data structures and analytical methods to address emerging challenges in breeding and molecular biology research, utilizing cutting-edge technologies such as large language models on biological datasets. You will apply machine learning tools for text mining to identify candidate genes for trait development and contribute to our internal biological recommendation systems by integrating various data sources, including multi-omics data. Proactively identifying and testing new analytical strategies will be crucial as you work effectively with cross-departmental teams and external academic and industry partners in a matrix environment. You will play a key role in shaping scientific and strategic priorities to accelerate portfolio advancement.
IT Languages:
Python
R
Rust
C/C++
The job involves various responsibilities aimed at enhancing data utilization and collaboration in plant breeding.:
Develop and implement new data structures and analytical methods for breeding and molecular biology research;; Utilize modern technologies, including large language models, on biological data to generate innovative solutions;; Apply machine learning techniques for text mining to identify candidate genes for trait development;; Contribute to internal biological recommendation systems by integrating multi-omics and other data sources;; Proactively identify and evaluate new approaches and strategies for data analysis;; Collaborate effectively with internal teams and external partners to advance scientific initiatives;; Support and lead initiatives in a matrix environment to drive portfolio development
Spoken Languages:
English;; German
Skillset:
Deep Learning
Keras
TensorFlow
PyTorch
Structural Computational Biology
Protein Design
Molecule Docking
No-SQL Databases
Graph Databases
Vector Databases
High-Performance Computing
Soft Skills:
High initiative
Independent working style
Effective communication skills
Qualifications:
PhD in Computational Biology, Bioinformatics, Data Science or MSc in related fields with relevant experience
Experience in computational and programming skills with demonstrated expertise in programming languages
Years of Experience:
5
Location:
Einbeck, Lower Saxony, Germany
Job Benefits:
Flexible working hours with remote working options
Subsidized canteen with healthy meal options
Company pension scheme
Financial incentives for company shares
Childcare subsidies
Job bike and job ticket
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We are a family-owned business that values proximity, reliability, foresight, and independence, fostering an open and friendly working atmosphere. Our motto 'Make yourself grow' reflects our commitment to supporting the professional and personal development of our employees.
Opportunities For Advancement:
Professional development opportunities, Collaborative projects with academic and industry partners