Machine Learning Engineer

Wiraa • United State
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AI Summary

Join Bright Vision Technologies as a Machine Learning Engineer to design, develop, and deploy machine learning models. Collaborate with cross-functional teams to build end-to-end solutions. Must have 3-5 years of experience in machine learning and AI development.

Key Highlights
Design and deploy machine learning models
Collaborate with cross-functional teams
3-5 years of experience in machine learning and AI development
Key Responsibilities
Design, develop, and implement machine learning models to solve business problems
Perform feature engineering and data preprocessing to improve model performance
Train, evaluate, and optimize machine learning models using various frameworks and tools
Technical Skills Required
Python TensorFlow PyTorch Scikit-learn SQL NoSQL databases AWS Azure GCP Docker Kubernetes Linux
Benefits & Perks
Competitive salary package
Opportunity for career growth and professional development
Remote work flexibility

Job Description


About The Company

Bright Vision Technologies is a forward-thinking software development company committed to delivering innovative solutions that empower businesses to automate and optimize their operations. With a focus on leveraging the latest advancements in machine learning and artificial intelligence, Bright Vision Technologies specializes in creating scalable, reliable, and production-grade intelligent systems. Our team is dedicated to transforming complex business challenges into efficient, data-driven solutions that drive growth and operational excellence. As a growing organization, we pride ourselves on fostering a collaborative environment that encourages continuous learning and technological innovation. Our client-centric approach ensures that we deliver tailored solutions that meet the unique needs of each business, helping them stay ahead in a competitive landscape.

About The Role

We are seeking a highly skilled Machine Learning Engineer to join our dynamic team remotely or in a hybrid capacity. In this role, you will be responsible for designing, developing, and deploying machine learning models that address real-world business problems. You will work closely with cross-functional teams including data scientists, software developers, and product managers to build end-to-end solutions. The ideal candidate will have a strong background in machine learning frameworks such as TensorFlow and PyTorch, experience with feature engineering, model training and evaluation, and deployment of scalable models using RESTful APIs. You will also be involved in managing data pipelines, working with SQL and NoSQL databases, and deploying solutions on cloud platforms such as AWS, Azure, or GCP. This role offers an excellent opportunity to contribute to innovative projects within a reputable organization, with significant career growth potential. Candidates must possess a minimum of 3 to 5 years of relevant experience, demonstrate strong technical skills through a coding test, and be open to H1B sponsorship for the 2027 quota.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
  • 3+ years of hands-on experience in machine learning and AI development
  • Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Experience with feature engineering, model training, and evaluation
  • Knowledge of deploying models via RESTful APIs and integrating with data pipelines
  • Familiarity with SQL and NoSQL databases
  • Experience working with cloud platforms such as AWS, Azure, or GCP
  • Knowledge of containerization tools like Docker and orchestration with Kubernetes
  • Experience with Linux environments and CI/CD pipelines
  • Strong problem-solving and analytical skills
  • Excellent communication and teamwork abilities
  • Legal authorization to work in the United States and willingness to consider H1B sponsorship for 2027

Responsibilities

  • Design, develop, and implement machine learning models to solve business problems
  • Perform feature engineering and data preprocessing to improve model performance
  • Train, evaluate, and optimize machine learning models using various frameworks and tools
  • Deploy models into production environments via RESTful APIs and cloud services
  • Collaborate with data scientists, software engineers, and product teams to integrate solutions
  • Manage and maintain data pipelines, ensuring data quality and consistency
  • Monitor model performance and implement improvements as needed
  • Participate in code reviews, testing, and documentation to ensure high-quality deliverables
  • Stay updated on the latest trends and advancements in machine learning and AI technologies
  • Contribute to the development of scalable, reliable, and efficient AI solutions for clients

Benefits

  • Competitive salary package
  • Opportunity for career growth and professional development
  • Remote work flexibility with a supportive team environment
  • Exposure to cutting-edge machine learning technologies and projects
  • Collaborative and innovative work culture
  • Health insurance and wellness benefits (if applicable)
  • Paid time off and holidays
  • Support for work visa sponsorship and relocation assistance (where applicable)

Equal Opportunity

Bright Vision Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, religion, sexual orientation, disability, or any other protected status. We encourage qualified candidates from all backgrounds to apply and join our team.

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