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AI ML Developer

Notchup

United States

Remote

USD 120,000

Full time

Yesterday
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Job summary

A leading company is seeking a motivated AI/ML Developer to join their remote engineering team. The ideal candidate will have hands-on experience in developing and deploying machine learning models and AI-driven applications. Responsibilities include designing scalable models, collaborating with teams, and staying updated on AI/ML trends.

Benefits

Flexible working hours
Opportunities for professional development
Certifications

Qualifications

  • 5 years of professional experience in AI/ML development.
  • Proficiency in Python and ML libraries.

Responsibilities

  • Design, build, and deploy scalable machine learning models.
  • Collaborate with software engineering teams to integrate models.

Skills

Python
TensorFlow
PyTorch
Scikit-Learn
Pandas
NumPy
Apache Spark
AWS
GCP
Azure
Git

Education

Bachelor’s or Master’s in Computer Science
Bachelor’s or Master’s in Data Science
Bachelor’s or Master’s in Engineering

Tools

MLflow
SageMaker
Flask
FastAPI

Job description

Python TensorFlow PyTorch Scikit-Learn Pandas NumPy Apache Spark AWS (AWS Web Services) GCP (Google Cloud Platform) Azure Cloud Platform GIT

24 Months

Remote USA

NA

$120000 /annual

Job Id: 0021250509

Job Description

Job Overview:
We are seeking a motivated and skilled AI/ML Developer to join our remote engineering team. The ideal candidate will have hands-on experience in developing and deploying machine learning models and AI-driven applications, with a strong grasp of data preprocessing, model evaluation, and performance tuning. You’ll collaborate with cross-functional teams to integrate ML capabilities into real-world solutions.

Responsibilities:

  • Design, build, and deploy scalable machine learning models and AI solutions
  • Work with data scientists and engineers to preprocess and analyze structured and unstructured data
  • Implement model evaluation metrics and improve performance based on business goals
  • Collaborate with software engineering teams to integrate models into production systems
  • Stay updated on the latest trends in AI/ML technologies and frameworks
  • Document processes, models, and experiments

Required Skills & Qualifications:

  • Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or a related field
  • 5 years of professional experience in AI/ML development
  • Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience with data processing tools (e.g., Pandas, NumPy, Spark)
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Strong understanding of algorithms, statistics, and linear algebra
  • Version control using Git

Nice to Have:

  • Experience with MLOps tools (e.g., MLflow, SageMaker)
  • Knowledge of NLP, computer vision, or time-series forecasting
  • API development and deployment experience (Flask, FastAPI)
  • Fully remote role
  • Competitive salary based on experience
  • Opportunities for professional development and certifications

Preferred Candidate

Seniority

Intermediate

Skills, Tools & Frameworks

    Python TensorFlow PyTorch Scikit-Learn Pandas NumPy Apache Spark AWS (AWS Web Services) GCP (Google Cloud Platform) Azure Cloud Platform GIT

Language

GMT-05:00 (America/New_York)

Industry Experience

Information Technology and Services

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J o b O v e r v i e w :
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  • D e s i g n , b u i l d , a n d d e p l o y s c a l a b l e m a c h i n e l e a r n i n g m o d e l s a n d A I s o l u t i o n s
  • W o r k w i t h d a t a s c i e n t i s t s a n d e n g i n e e r s t o p r e p r o c e s s a n d a n a l y z e s t r u c t u r e d a n d u n s t r u c t u r e d d a t a
  • C o l l a b o r a t e w i t h s o f t w a r e e n g i n e e r i n g t e a m s t o i n t e g r a t e m o d e l s i n t o p r o d u c t i o n s y s t e m s
  • S t a y u p d a t e d o n t h e l a t e s t t r e n d s i n A I / M L t e c h n o l o g i e s a n d f r a m e w o r k s

R e q u i r e d S k i l l s & Q u a l i f i c a t i o n s :

  • B a c h e l o r ’ s o r M a s t e r ’ s i n C o m p u t e r S c i e n c e , D a t a S c i e n c e , E n g i n e e r i n g , o r a r e l a t e d f i e l d
  • P r o f i c i e n c y i n P y t h o n a n d M L l i b r a r i e s ( e . g . , T e n s o r F l o w , P y T o r c h , s c i k i t - l e a r n )
  • E x p e r i e n c e w i t h d a t a p r o c e s s i n g t o o l s ( e . g . , P a n d a s , N u m P y , S p a r k )
  • F a m i l i a r i t y w i t h c l o u d p l a t f o r m s ( A W S , G C P , o r A z u r e )
  • V e r s i o n c o n t r o l u s i n g G i t
  • E x p e r i e n c e w i t h M L O p s t o o l s ( e . g . , M L f l o w , S a g e M a k e r )
  • K n o w l e d g e o f N L P , c o m p u t e r v i s i o n , o r t i m e - s e r i e s f o r e c a s t i n g
  • A P I d e v e l o p m e n t a n d d e p l o y m e n t e x p e r i e n c e ( F l a s k , F a s t A P I )
  • F u l l y r e m o t e r o l e
  • F l e x i b l e w o r k i n g h o u r s
  • O p p o r t u n i t i e s f o r p r o f e s s i o n a l d e v e l o p m e n t a n d c e r t i f i c a t i o n s
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