{"schemaVersion":"jobsearcher.job.v1","id":"37202c216d112db64ea467dc","url":"https://jobsearcher.com/jobs/37202c216d112db64ea467dc","canonicalUrl":"https://jobsearcher.com/jobs/37202c216d112db64ea467dc","title":"Python Machine Learning Engineer (Remote)","description":"Role Title: Python Machine Learning Engineer (Remote)Role Type: Contractor assignment (no medical/paid leave)Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, MexicoRole Overview:1. We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus.What does day-to-day look like:1. Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring.2. Translate business objectives into robust ML architectures that accurately capture business logic and context.3. Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics.4. Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.5. Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomesRequired Qualifications:1. Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field.2. 4+ years of hands-on DS/ML development experience,3. Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference4. Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.).5. Ability to understand and apply different models to real-world use cases6. Strong understanding of data preprocessing, feature engineering, model tuning, and evaluation metrics.7. Proven ability to design scalable, production-grade ML systems.Preferred Qualifications:1. Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).2. Experience with cloud data platforms (Databricks, AWS, etc.)3. Hands-on experience with PySpark and Databricks Platform4. Stay up-to-date with the latest advancements in machine learning and artificial intelligence.Bonus:1. Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench2. Experimenting with new technologies and frameworks based on Research papers published in top conferences and journalsPerks of Freelancing1. Work in a fully remote environment.2. Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer Details:1. Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)2. Employment type : Contractor assignment (no medical/paid leave)3. Duration of contract : 3 month; [expected start date is next week]4. Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, MexicoEvaluation Process (approximately 75 mins) :1. Two rounds of interviews as follows:Interview 1: Technical, 60 mins Interview 2: Onboarding & cultural discussion, 15 minsWhat You’ll Do1. Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring.2. Translate business objectives into robust ML architectures that accurately capture business logic and context.3. Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics.4. Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.5. Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomesApply Now!","company":"Jobletai","rawCompany":"jobletai","city":"Denver","state":"CO","isRemote":true,"isActive":false,"createdAt":"2026-11-07T07:41:40.711Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Machine Learning Engineer (Remote)","description":"Role Title: Python Machine Learning Engineer (Remote)Role Type: Contractor assignment (no medical/paid leave)Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, MexicoRole Overview:1. We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus.What does day-to-day look like:1. Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring.2. Translate business objectives into robust ML architectures that accurately capture business logic and context.3. Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics.4. Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.5. Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomesRequired Qualifications:1. Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field.2. 4+ years of hands-on DS/ML development experience,3. Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference4. Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.).5. Ability to understand and apply different models to real-world use cases6. Strong understanding of data preprocessing, feature engineering, model tuning, and evaluation metrics.7. Proven ability to design scalable, production-grade ML systems.Preferred Qualifications:1. Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).2. Experience with cloud data platforms (Databricks, AWS, etc.)3. Hands-on experience with PySpark and Databricks Platform4. Stay up-to-date with the latest advancements in machine learning and artificial intelligence.Bonus:1. Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench2. Experimenting with new technologies and frameworks based on Research papers published in top conferences and journalsPerks of Freelancing1. Work in a fully remote environment.2. Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer Details:1. Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)2. Employment type : Contractor assignment (no medical/paid leave)3. Duration of contract : 3 month; [expected start date is next week]4. Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, MexicoEvaluation Process (approximately 75 mins) :1. Two rounds of interviews as follows:Interview 1: Technical, 60 mins Interview 2: Onboarding & cultural discussion, 15 minsWhat You’ll Do1. Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring.2. Translate business objectives into robust ML architectures that accurately capture business logic and context.3. Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics.4. Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.5. 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