What are the responsibilities and job description for the Machine Learning Engineer in Residence position at Apziva Fellowship?
Are you passionate about harnessing the power of data to drive innovation? Do you thrive in dynamic, collaborative environments? Join Apziva, a rapidly growing platform that's redefining the future of work.
About Apziva:
Apziva is a global company working with professionals from over 65 countries. Apziva’s mission is to solve the world’s experience gap and unlock human potential. Apziva helps talented professionals to gain hands-on practical industry experience in Machine Learning and Data Science by working on real-world industry projects. Apziva’s unique platform helps companies to solve challenging Machine Learning problems and help them hire the best Data Science candidates with proven work experience vetted through our unique platform.
Position Overview:
As a Machine Learning Engineer in Residence you will be joining our 6-month Residency in which you'll dive deep into several industry projects, collaborating with a team of professionals and working on challenging projects coming from Apziva’s industry partners across different industries including Finance, Logistics, Education, Hardware, Retail, and Human Resources. This is a unique opportunity to work on industry projects, get mentored by industry experts, sharpen your skills, and make meaningful contributions to solve real-world challenges our partners face.
About the Opportunity:
Hands-on industry experience in a dynamic and supportive environment.
Exposure to cutting-edge tools and technologies in data science and analytics.
Opportunity to contribute to real-world projects and build up your professional portfolio.
Deep dive into the full project life cycle, from model development to deployment.
Gain insights into diverse industries and work on challenging problems spanning Deep Learning, Computer Vision, Natural Language Processing, Time Series Analysis, and Recommender Systems.
Collaborate with a team of experts and mentors to drive innovation and deliver impactful solutions.
Requirements:
BA or BS degree, or equivalent experience in Mathematics, Statistics, Business Analytics, Economics, Physics, Engineering, or related fields.
Knowledge of Python, SQL, pandas, matplotlib, Scikit-Learn.
Strong understanding of statistical concepts and machine learning algorithms.
Exceptional problem-solving skills and keen attention to detail.
Excellent communication and interpersonal abilities.
Ability to work independently and collaboratively in a fast-paced environment.
What We Offer:
The Residency will consist of approximately 6 months during which you will have mentoring sessions alongside project work. You will explore different industries and learn about the ongoing data initiatives in industry-leading companies. You will also work with industry expert mentors to build reliable machine learning solutions to solve different challenges that our partners face. At the end of the Residency, successful participants will get referred to our hiring partners.
What to Expect Next:
You will receive an email with a link to start your self-paced, online application.
Our platform will guide you through a series of online “screening” assessments to check for basic qualifications, skills, and finally an interview to finalize the application process.
About Apziva:
Apziva is a global company working with professionals from over 65 countries. Apziva’s mission is to solve the world’s experience gap and unlock human potential. Apziva helps talented professionals to gain hands-on practical industry experience in Machine Learning and Data Science by working on real-world industry projects. Apziva’s unique platform helps companies to solve challenging Machine Learning problems and help them hire the best Data Science candidates with proven work experience vetted through our unique platform.
Position Overview:
As a Machine Learning Engineer in Residence you will be joining our 6-month Residency in which you'll dive deep into several industry projects, collaborating with a team of professionals and working on challenging projects coming from Apziva’s industry partners across different industries including Finance, Logistics, Education, Hardware, Retail, and Human Resources. This is a unique opportunity to work on industry projects, get mentored by industry experts, sharpen your skills, and make meaningful contributions to solve real-world challenges our partners face.
About the Opportunity:
Hands-on industry experience in a dynamic and supportive environment.
Exposure to cutting-edge tools and technologies in data science and analytics.
Opportunity to contribute to real-world projects and build up your professional portfolio.
Deep dive into the full project life cycle, from model development to deployment.
Gain insights into diverse industries and work on challenging problems spanning Deep Learning, Computer Vision, Natural Language Processing, Time Series Analysis, and Recommender Systems.
Collaborate with a team of experts and mentors to drive innovation and deliver impactful solutions.
Requirements:
BA or BS degree, or equivalent experience in Mathematics, Statistics, Business Analytics, Economics, Physics, Engineering, or related fields.
Knowledge of Python, SQL, pandas, matplotlib, Scikit-Learn.
Strong understanding of statistical concepts and machine learning algorithms.
Exceptional problem-solving skills and keen attention to detail.
Excellent communication and interpersonal abilities.
Ability to work independently and collaboratively in a fast-paced environment.
What We Offer:
The Residency will consist of approximately 6 months during which you will have mentoring sessions alongside project work. You will explore different industries and learn about the ongoing data initiatives in industry-leading companies. You will also work with industry expert mentors to build reliable machine learning solutions to solve different challenges that our partners face. At the end of the Residency, successful participants will get referred to our hiring partners.
What to Expect Next:
You will receive an email with a link to start your self-paced, online application.
Our platform will guide you through a series of online “screening” assessments to check for basic qualifications, skills, and finally an interview to finalize the application process.