Python ML Engineer @ Shell Info

Job Description

Company Description Welcome to YahMart, a company that combines the art of e-commerce with the science of IT consulting and services. We are strategic partners for businesses in the digital realm, offering e-commerce solutions, IT consulting, and services to drive growth and success. Our expertise in e-commerce includes building online storefronts, optimizing sales funnels, and enhancing customer experiences. We help businesses navigate the complexities of the online marketplace and achieve measurable results. In addition to e-commerce, we also provide comprehensive IT consulting and services. Our experienced IT consultants offer guidance on infrastructure management, cybersecurity solutions, and digital transformation initiatives, ensuring businesses can harness the full potential of technology. At YahMart, innovation is at the core of what we do. We continuously refine our offerings to meet the evolving needs of our clients, staying ahead of technological advancements to ensure. customer satisfaction. Join us on the journey to success and unlock the power of e-commerce excellence and IT innovation today. Role Description This is a contract remote role for a Python ML Engineer at YahMart. As a Python ML Engineer, you will be responsible for developing and implementing machine learning models using Python. Your day-to-day tasks will include collecting and analyzing data, designing and training models, and evaluating model performance. You will work closely with cross-functional teams to integrate ML solutions into existing systems and applications. Description We are seeking a skilled Python Full Stack Developer with a strong foundation in SQL and NoSQL databases, coupled with basic knowledge of machine learning, data analytics, and predictive analysis. He will be responsible for designing, developing, and maintaining scalable web applications and services. Hands-on experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn. Should have experience in ML any library Familiarity with DevOps practices and deployment tools. Basic Knowledge Hands-on experience with Python libraries such as Pandas, NumPy, Matplotlib etc. Must have worked on any libraries Proficient in using version control systems such as Git. Basic knowledge Experience with containerization tools like Docker, Cloud- Good to have (Basic knowledge) Workflow Familiarity with continuous integration and deployment tools like Jenkins, and GitLab CI.- Responsibilities: Design, develop, and maintain robust and scalable web applications using Python frameworks such as Django or Flask for backend development. Develop frontend components using modern JavaScript frameworks such as React.js or Angular. Must have Integrate user-facing elements with server-side logic for maximum efficiency. Build and maintain relational and non-relational databases using SQL and NoSQL technologies like PostgreSQL, MySQL, MongoDB, or Redis. SQL or NoSQL Ensure the responsiveness and performance of applications by optimizing code and implementing best practices. Collaborate with cross-functional teams to define, design, and ship new features. Stay updated with emerging technologies and trends in web development, machine learning, data analytics, and predictive analysis. Troubleshoot and debug issues reported by users and provide timely resolutions. Conduct code reviews and mentor junior developers to maintain code quality and standards. Implement continuous integration and deployment processes using tools such as Jenkins, and GitLab CI. Collaborate with DevOps teams to ensure smooth deployment and maintenance of applications. Conduct code reviews and implement optimizations for code quality, maintainability, and efficiency. Work closely with cross-functional teams, including data scientists, and product managers, to deliver integrated solutions. Communicate effectively with team members and stakeholders to gather requirements and provide updates on project progress

Employement Category:

Employement Type: Full time
Industry: Others
Role Category: Application Programming / Maintenance
Functional Area: Not Applicable
Role/Responsibilies: Python ML Engineer

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Keyskills:   Python SQL NoSQL Machine Learning Data Analytics NumPy Matplotlib Git Django Flask Angular PostgreSQL MySQL MongoDB Redis Jenkins Predictive Analysis TensorFlow PyTorch scikitlearn Pandas Reactjs GitLab CI