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 :
W e a r e s e e k i n g a m o t i v a t e d a n d s k i l l e d A I / M L D e v e l o p e r t o j o i n o u r r e m o t e e n g i n e e r i n g t e a m . T h e i d e a l c a n d i d a t e w i l l h a v e h a n d s - o n e x p e r i e n c e i n d e v e l o p i n g a n d d e p l o y i n g 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 - d r i v e n a p p l i c a t i o n s , w i t h a s t r o n g g r a s p o f d a t a p r e p r o c e s s i n g , m o d e l e v a l u a t i o n , a n d p e r f o r m a n c e t u n i n g . Y o u ’ l l c o l l a b o r a t e w i t h c r o s s - f u n c t i o n a l t e a m s t o i n t e g r a t e M L c a p a b i l i t i e s i n t o r e a l - w o r l d s o l u t i o n s .
R e s p o n s i b i l i t i e s :
- 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
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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 )
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- 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
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