LLM - Python for Machine Learning
6 days ago
3+ years
Short Term Contract (3 months)
Role Overview:
We are seeking skilled and experienced ML Developers to join our innovative team. The ideal candidate will have strong hands-on ML experience with the ability to understand complex data models and translate business requirements into efficient solutions that capture business context accurately. Participation in machine learning competitions is a strong plus.
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)
Preferred Qualifications:
Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).
Experience with cloud data platforms (Databricks, AWS, etc.)
Knowledge of MLOps principles and tools for model deployment and monitoring
Hands-on experience with PySpark and Databricks Platform
Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench
Perks of Freelancing With Turing:
Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading LLM companies.
Job Types: Contractual / Temporary, Freelance
Contract length: 3 months
Pay: ₹70, ₹80,000.00 per month
Work Location: Remote
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