[Work From Home] AI & ML Engineer

We're building our team and are looking for a creative AI & ML Engineer! Based in Remote, this position puts you in a prime location for professional and personal growth. This position requires a strong and diverse skillset in relevant areas to drive success. We believe in rewarding talent. The total rewards package for this role includes a competitive salary.

 

 

Description: • ARFA Solutions, LLC is looking for a talented AI & ML Engineer to join our innovative team. • In this role, you will be responsible for designing, developing, and deploying machine learning models and AI solutions that address complex business challenges. • You will collaborate with data scientists, software engineers, and stakeholders to leverage cutting-edge technologies and drive impactful results. • Responsibilities: • Design, build, and deploy scalable machine learning models and AI applications. • Collaborate with data scientists to preprocess and analyze large datasets, ensuring data quality and integrity. • Implement and optimize algorithms for supervised and unsupervised learning tasks. • Utilize frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn for model development. • Integrate ML models into production systems, ensuring performance and reliability. • Monitor and maintain deployed models for continued accuracy and relevance. • Stay... up-to-date with advancements in AI and machine learning technologies and methodologies. • Communicate findings and recommendations effectively to technical and non-technical stakeholders. • Requirements: • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. • Minimum of 3 years of experience in AI and ML engineering. • Strong experience in developing and deploying machine learning models. • Proficiency in programming languages such as Python, R, or Java. • Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn. • Experience with data preprocessing, feature engineering, and performance tuning of ML models. • Strong understanding of statistical modeling, regression, classification, clustering, and natural language processing. • Familiarity with cloud services like AWS, GCP, or Azure for deploying AI solutions. • Excellent problem-solving skills and a strong analytical mindset. • Strong communication and collaboration skills to work with cross-functional teams. • Relevant certifications in AI/ML (e.g., Google Cloud Professional Machine Learning Engineer, AWS Certified Machine Learning) are a plus. Benefits: • Remote work. • 1099 or C2C or W2 Apply Job!

 

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