{"schemaVersion":"jobsearcher.job.v1","id":"7b6aeb74fdcf1131c27d8e35","url":"https://jobsearcher.com/jobs/7b6aeb74fdcf1131c27d8e35","canonicalUrl":"https://jobsearcher.com/jobs/7b6aeb74fdcf1131c27d8e35","title":"Machine Learning Engineer","description":"We are hiring Master’s students who are looking to start their professional career in the US IT industry in the field of Artificial Intelligence & Machine Learning. This opportunity is ideal for candidates with strong ML fundamentals, academic projects, or internship experience and a passion for solving real-world problems using data.Location: Remote / Onsite (Client Requirement – USA)Employment Type: Full-Time (W2)Experience Level: Entry-Level / 0–5 YearsKey Responsibilities• Assist in developing, training, and evaluating ML/AI models• Work with large datasets for data preprocessing and feature engineering• Implement machine learning algorithms under senior guidance• Support model testing, validation, and performance tuning• Work on client-driven and internal AI/ML projects• Create basic reports, visualizations, and model insights• Follow SDLC, ML best practices, and documentation standards• Collaborate with data scientists, engineers, and business teamsRequired Skills & Qualifications• Master’s degree (completed or pursuing) in Data Science, AI, ML, Computer Science, Engineering, or related fields• Strong programming knowledge in Python• Understanding of Machine Learning concepts (supervised, unsupervised, model training/testing, overfitting, etc.)• Knowledge of statistics, probability, and linear algebra• Familiarity with Pandas, NumPy, Scikit-learn• Basic knowledge of SQL and databases• Good communication skills (important for US clients)• Strong willingness to learn and adaptPreferred / Nice to Have• Academic or internship projects in AI / ML / Data Science• Exposure to TensorFlow, PyTorch, Keras• Knowledge of Deep Learning, NLP, or Computer Vision• Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau)• Cloud exposure (AWS / Azure / GCP – ML services preferred)• Kaggle participation, GitHub projects, or certifications","company":"Rk Infotech","rawCompany":"rk infotech","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-04-25T12:04:14.956Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-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":"Machine Learning Engineer","description":"We are hiring Master’s students who are looking to start their professional career in the US IT industry in the field of Artificial Intelligence & Machine Learning. This opportunity is ideal for candidates with strong ML fundamentals, academic projects, or internship experience and a passion for solving real-world problems using data.Location: Remote / Onsite (Client Requirement – USA)Employment Type: Full-Time (W2)Experience Level: Entry-Level / 0–5 YearsKey Responsibilities• Assist in developing, training, and evaluating ML/AI models• Work with large datasets for data preprocessing and feature engineering• Implement machine learning algorithms under senior guidance• Support model testing, validation, and performance tuning• Work on client-driven and internal AI/ML projects• Create basic reports, visualizations, and model insights• Follow SDLC, ML best practices, and documentation standards• Collaborate with data scientists, engineers, and business teamsRequired Skills & Qualifications• Master’s degree (completed or pursuing) in Data Science, AI, ML, Computer Science, Engineering, or related fields• Strong programming knowledge in Python• Understanding of Machine Learning concepts (supervised, unsupervised, model training/testing, overfitting, etc.)• Knowledge of statistics, probability, and linear algebra• Familiarity with Pandas, NumPy, Scikit-learn• Basic knowledge of SQL and databases• Good communication skills (important for US clients)• Strong willingness to learn and adaptPreferred / Nice to Have• Academic or internship projects in AI / ML / Data Science• Exposure to TensorFlow, PyTorch, Keras• Knowledge of Deep Learning, NLP, or Computer Vision• Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau)• Cloud exposure (AWS / Azure / GCP – ML services preferred)• Kaggle participation, GitHub projects, or certifications","datePosted":"2026-04-25T12:04:14.956Z","dateModified":"2026-04-25T12:04:14.956Z","hiringOrganization":{"@type":"Organization","name":"Rk Infotech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7b6aeb74fdcf1131c27d8e35"},"url":"https://jobsearcher.com/jobs/7b6aeb74fdcf1131c27d8e35"}}