Vector Databases – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Mon, 07 Oct 2024 16:00:02 +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 Vector Databases – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 AI/ML Engineer https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/ai-ml-engineer-5/ Mon, 07 Oct 2024 16:00:02 +0000 https://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
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Bioinformatician / Data Scientist https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/bioinformatician-data-scientist/ Tue, 24 Sep 2024 14:00:03 +0000 https://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

Visa Sponsorship:

    Available
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