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AI & ML Engineering

Remote:

Full Remote

Contract:

Freelance

Experience:

Mid-level (2-5 years)

Work from:

Vatican City, United States

Offer summary

Qualifications:

Bachelor's or Master's in CS or related field, Minimum of 3 years in AI and ML engineering, Proficiency in Python, R, or Java, Experience with ML frameworks like TensorFlow, Understanding of statistical modeling techniques.

Key responsabilities:

Design, build, and deploy machine learning models
Collaborate with data scientists to ensure data quality
Optimize algorithms for learning tasks
Integrate and monitor ML models in production
Stay updated on AI advancements and communicate findings

Arfa Solutions Information Technology & Services Startup https://www.arfasolutions.net/

11 - 50 Employees

See more Arfa Solutions offers

Job 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