ML Frameworks – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Fri, 25 Oct 2024 09:30:02 +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 ML Frameworks – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 2025 Intern – Data Scientist https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/2025-intern-data-scientist/ Fri, 25 Oct 2024 09:30:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/2025-intern-data-scientist/ 2025 Intern – Data Scientist

Job Description:

    Join our innovative team as a Data Science Intern and immerse yourself in the world of generative AI at Adobe. This role presents a unique opportunity to apply cutting-edge data mining, machine learning, and natural language processing techniques to real-world datasets. As part of the Firefly Data Science team, you will engage in analyzing extensive customer data, contributing to various business challenges, and enhancing our product offerings. You will be responsible for developing machine learning models that not only generate insights but also create tangible business impacts. Your work will be instrumental in transforming how our customers interact with our products throughout their lifecycle, ensuring value realization and improving customer experience.

IT Languages:

  • Python
  • SQL

As a Data Science Intern, you will take part in various responsibilities that leverage your technical and analytical skills.:

    Apply data mining and machine learning to analyze and interpret massive datasets.;; Develop scalable machine learning models and assess their business impact.;; Utilize statistical techniques to derive insights and predictions from data.;; Explore customer product life cycles to enhance engagement and service delivery.

Spoken Languages:

  • English

Skillset:

  • Data mining
  • Machine learning
  • Natural Language Processing
  • Statistical modeling
  • Cloud computing
  • ML frameworks
  • Git
  • Jupyter Notebook
  • Azure
  • AWS
  • Databricks
  • Spark-SQL
  • Airflow

Soft Skills:

  • Analytical thinking
  • Problem-solving
  • Team collaboration
  • Effective communication

Qualifications:

  • Currently enrolled in a Master’s or PhD program in Computer Science, Data Science, Information Science, Statistics, Applied Mathematics, or Engineering with an expected graduation date between December 2025 and June 2026.
  • Strong foundation in SQL and Python programming languages.
  • Proven understanding of machine learning, data mining, and statistical modeling concepts.

Years of Experience:

    0

Location:

    United States

Job Benefits:

  • Competitive hourly compensation
  • Hybrid work environment
  • Mentorship from experienced professionals
  • Opportunities for skill development and learning

Working Conditions:

    Hybrid

Employment Type:

    Internship

Company Culture:

  • At Adobe, we believe in the power of creativity and innovation. Our culture fosters collaboration and values diverse perspectives. We are committed to providing equal opportunities and ensuring that every employee feels respected and included. We encourage our employees to share their ideas, as we recognize that the next great innovation can come from anyone within our organization.

Opportunities For Advancement:

  • Potential for future employment after internship, Networking opportunities with industry professionals, Access to training and development programs

Visa Sponsorship:

    Not Available
]]> Machine Learning Engineer https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-engineer-14/ Tue, 01 Oct 2024 01:15:01 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-engineer-14/ Machine Learning Engineer

Job Description:

    Join a dynamic and innovative AI and Machine Learning start-up that is transforming the way sales teams operate. We are at the forefront of developing advanced Machine Learning models that aim to enhance productivity and efficiency within sales organizations. As a Machine Learning Engineer, you will play a crucial role in designing, building, and maintaining end-to-end machine learning pipelines that support our cutting-edge solutions. This position offers the flexibility of a remote-first work environment across the United States, allowing you to collaborate with a talented team that is passionate about leveraging technology to drive business success. You will be part of an exciting journey as we scale our software and implement new features, all while working in a highly supportive and growth-oriented atmosphere.

IT Languages:

  • Python
  • Golang

As a Machine Learning Engineer, you will be responsible for the full lifecycle of machine learning model development, including design, implementation, and deployment.:

    Design and develop end-to-end Machine Learning models tailored to business needs;; Create and maintain robust machine learning infrastructure and platforms;; Build data models and visualizations that provide actionable insights for clients;; Mentor and guide junior engineers to foster skill development within the team

Spoken Languages:

  • English

Skillset:

  • Machine Learning
  • Data Modeling
  • Cloud Computing
  • ML Frameworks

Soft Skills:

  • Strong problem-solving skills
  • Excellent communication abilities
  • Team-oriented mindset
  • Adaptability and willingness to learn

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 5+ years of experience in software engineering within a modern tech environment
  • Strong expertise in Python or Golang, with proficiency in writing clean and efficient code
  • Demonstrated experience in building and managing machine learning models
  • Familiarity with cloud platforms and machine learning frameworks

Years of Experience:

    5

Location:

    United States

Job Benefits:

  • Competitive salary
  • Flexible working hours
  • Remote work opportunities
  • Professional development and training
  • Health and wellness programs

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We promote an inclusive and collaborative work environment where innovation thrives. Our culture encourages continuous learning, open communication, and the sharing of ideas to drive success. We value creativity and are committed to providing our employees with the tools and resources they need to excel in their roles.

Opportunities For Advancement:

  • Leadership training programs, Career development workshops, Performance-based promotions

Visa Sponsorship:

    Available
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