Machine Learning Developer
2 days ago
We are hiring
Position: Machine Learning Developer
Location: Remote
Exp: 3+ years
Duration: 3months
Engagement: 8hrs/day with 4hrs overlap with PST
What does day-to-day look like:
Develop and maintain ML solutions, including data pipelines, model training, evaluation, and optimization.
Collaborate with business stakeholders to gather and clarify requirements
Translate business requirements into ML code that accurately reflects business logic
Write efficient, maintainable, and well-documented ML solutions
Participate in code reviews and follow established development standards
Effectively analyze and select the best algorithms, optimize ML solutions for performance improvement and accuracy
Create and maintain technical documentation for developed solutions
Support testing activities and resolve data-related issues
Required Qualifications:
Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
3+ years of hands-on ML development experience
Proficiency in at least some of the ML areas and frameworks, including:
Supervised learning (classification, regression, …)
Unsupervised learning (clustering, anomaly detection, …)
Time-series analysis
Natural Language Processing (NLP)
Computer Vision (CV)
Statistical modeling
Ability to understand and apply different models to real-world use cases
Hands-on experience with DS and ML solutions in production environments
Strong understanding of data cleaning and wrangling, feature engineering, model optimization, and evaluation metrics
Proficiency in Python and its common data science libraries (e.g., Pandas, NumPy, Scikit-learn)
Job Types: Full-time, Contractual / Temporary
Contract length: 3 months
Application Question(s):
- Are you fine with this short term contract(3 Months)?
- Do you have experience with Pandas, NumPy, Scikit-learn?
Experience:
- Machine learning: 4 years (Required)
- Data science: 4 years (Required)
- Python: 4 years (Required)
- PyTorch: 3 years (Required)
Work Location: Remote
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