Data Pipeline Management – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Sun, 27 Oct 2024 21:30:02 +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 Data Pipeline Management – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Senior AI Engineer https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/senior-ai-engineer/ Sun, 27 Oct 2024 21:30:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/senior-ai-engineer/ Senior AI Engineer

Job Description:

    In the role of Senior AI Engineer, you will be instrumental in the creation and enhancement of programmatic solutions tailored for our AI-powered inventory management platform. Your primary focus will be on architecting and implementing robust AI systems that are production-ready, as well as managing scalable data pipelines and ensuring successful API integrations. Collaborating closely with data scientists, web developers, and product managers will be essential to align our solutions with strategic business objectives. The ideal candidate will possess in-depth knowledge of software engineering principles and substantial experience in developing cloud-based AI services.

IT Languages:

  • Python
  • TensorFlow
  • PyTorch
  • scikit-learn

As a Senior AI Engineer, you will undertake various critical responsibilities to support and enhance our AI-driven solutions::

    Design and maintain the architecture of AI systems fully integrated into a predictive inventory planning platform;; Lead the deployment of AI models and algorithms on cloud platforms, especially Azure, ensuring security and scalability;; Develop and optimize APIs that facilitate the integration of AI models with inventory planning tools;; Create and manage scalable data pipelines to support data ingestion, processing, and model training;; Automate processes for model retraining and updates in a high-availability production setting;; Add AI-driven features to our SaaS platform, providing clients with valuable insights for inventory management;; Collaborate with cross-functional teams to align AI capabilities with organizational needs;; Stay updated on advancements in AI, cloud computing, and machine learning to continually improve our offerings

Spoken Languages:

  • English;; German

Skillset:

  • Cloud deployment
  • API development
  • Infrastructure as code
  • Data pipeline management
  • SaaS application integration

Soft Skills:

  • Problem-solving
  • Effective communication
  • Collaboration

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field
  • Proven expertise in AI engineering with a concentration on cloud deployment and automation

Years of Experience:

    5

Location:

    Germany

Job Benefits:

  • Competitive salary with performance-based bonuses
  • Flexible work arrangements including options for remote work
  • Opportunities for professional development and continuous learning
  • Comprehensive health coverage including dental and vision insurance
  • Career growth opportunities in a rapidly expanding company

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • The company fosters a collaborative and innovative environment that encourages continuous learning and personal growth. Employees are empowered to contribute ideas and solutions that drive the business forward.

Opportunities For Advancement:

  • Career development programs, Leadership training opportunities, Participation in industry conferences

Visa Sponsorship:

    Available
]]> Machine Learning Engineer https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-engineer-16/ Mon, 07 Oct 2024 16:40:03 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-engineer-16/ Machine Learning Engineer

Job Description:

    We are seeking an experienced Machine Learning Engineer to join our dynamic team in Cupertino, CA. The ideal candidate will have a robust background in client engineering with a focus on natural language processing (NLP). You will be responsible for deploying machine learning models and managing the data pipeline, including data ingestion and transformation. A strong grasp of machine learning principles, particularly in the context of large language models (LLMs), is essential. Additionally, experience in building and implementing chatbots using LLMs is highly desired. You will also be tasked with data visualization, utilizing tools such as Tableau or similar platforms. This role requires excellent communication skills, both verbal and written, as you will collaborate effectively with various internal and external stakeholders across virtual teams.

IT Languages:

  • Python
  • Java
  • SQL

Your primary responsibilities will include deploying machine learning models, managing data pipelines, and building chatbots using large language models.:

    Deploy client models for various applications;; Manage data pipeline and transformations;; Design and develop chatbots leveraging LLMs;; Perform data ingestion and visualization using Tableau;; Collaborate with cross-functional teams to enhance model performance

Spoken Languages:

  • English;; Spanish

Skillset:

  • Machine Learning
  • Natural Language Processing
  • Data Visualization
  • Data Pipeline Management
  • Chatbot Development

Soft Skills:

  • Strong communication skills
  • Ability to work collaboratively
  • Problem-solving skills
  • Adaptability

Qualifications:

  • 12+ years of experience in client engineering
  • Proven experience in NLP
  • Strong understanding of machine learning principles
  • Experience with data visualization tools

Years of Experience:

    10

Location:

    Cupertino, CA, United States

Job Benefits:

  • Competitive salary
  • Health insurance
  • Retirement savings plan
  • Flexible working hours
  • Professional development opportunities

Working Conditions:

    Full Time

Employment Type:

    Contract

Company Culture:

  • We foster a collaborative and innovative work environment that values diversity and inclusion. Our team is dedicated to continuous learning and professional growth, encouraging employees to explore new technologies and methodologies.

Opportunities For Advancement:

  • Leadership roles in machine learning projects, Opportunities to lead cross-functional initiatives, Professional training and certifications

Visa Sponsorship:

    Available
]]>