AI & ML Engineer
Posted 2025-03-15
Remote, USA
Full-time
Immediate Start
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
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