We are seeking an experienced and innovative Machine Learning Engineer to lead the technical design and implementation of a cutting-edge media content recommendation website and app. The ideal candidate will have a strong background in AI, machine learning, recommender systems, data security, and monetization strategies to develop an advanced application that personalizes recommendations across all streaming platforms and broadcast television available to the user, regardless of their location.

Responsibilities:

Design and implement a scalable and efficient recommendation engine using the latest developments in AI and machine learning

Develop advanced algorithms for content-based filtering, collaborative filtering, and hybrid approaches

Utilize data mining techniques to analyze large datasets and extract relevant features for improved recommendations

Implement model training and evaluation pipelines to ensure accurate and reliable predictions

Integrate with third-party APIs from streaming platforms and broadcast television providers to gather real-time user preferences and viewing habits

Design and implement a user-friendly interface that seamlessly integrates the personalized recommendations into the media consumption experience

Ensure the highest level of data security for users’ personal information and viewing habits, adhering to industry-standard protocols (e.g., GDPR, CCPA) and best practices

Aggregate user data anonymously for B2B agreements and monetization opportunities with streaming platforms and advertisers

Requirements:

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Security, or related field

Strong programming skills in Python, Java, or C++

Experience with popular machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

In-depth knowledge of recommender systems and their applications in the media industry

Familiarity with data mining techniques and big data technologies (e.g., Hadoop, Spark)

Excellent understanding of data security protocols, encryption methods, and best practices for user privacy

Experience with monetization strategies, B2B agreements, and advertising technology platforms (e.g., Google AdManager, OpenX) is a plus

Strong communication and collaboration skills for effective teamwork and client engagement

If you are passionate about leveraging AI and machine learning to revolutionize the media content recommendation space while ensuring user data security and monetization opportunities, we would love to hear from you. Please apply with your resume and cover letter explaining why you are the ideal candidate for this exciting project.

Note: This project requires a high level of expertise in data security and privacy considerations. Candidates with experience in these areas will be given priority consideration.

Hourly Range: $25.00-$90.00

Posted On: August 13, 2024 21:08 UTC
Category: Full Stack Development
Skills:AI Development, AI App Development, Web Development, Python, Machine Learning, Artificial Intelligence

Country: United Kingdom

click to apply