AI/ML Engineer

2 weeks ago

delhi, India IrisLabs.co Full time
Iris Labs LLC is initially seeking to hire a candidate for our client's project. Upon successful completion of the client's project, we intend to retain the individual for future projects.
About Iris Labs LLC:
Iris Labs is a US based company with presence in Texas and California. We have engineering and other staff from South Asia. The company is a specialized firm with expertise in AI, ML, Data Science, and enterprise software across various industry verticals, including Finance, Healthcare, Industrial sectors, Generative AI, and more. We develop proprietary solutions as well as cater to client projects. Our compact size allows us to offer cost-effective, agile, and specialized services, positioning us as an expert boutique firm in our field. Typically, we are engaged to manage projects on a turnkey basis, but we are also equipped to contribute to any phase of software development projects.
More details are available here: Overview: We are a leading streaming company, providing a diverse range of entertainment content to our global audience. With a commitment to innovation and customer satisfaction, we are seeking a highly skilled AI/ML Engineer to join our dynamic team and contribute to the growth and success of our streaming platform. Note: Client’s platform is similar to Netflix, Amazon prime, Hulu and other services in North America.
Job Responsibilities:
Content Analysis:
Utilize machine learning algorithms to analyze streaming trends, user preferences, and content popularity.
Develop models to identify patterns in user behavior, viewing habits, and engagement metrics.
Generative AI Models:
Design and implement generative AI models to predict content trends based on factors such as ratings, awards, and cultural relevance.
Create algorithms that generate recommendations for new content investments to maximize profitability.
Data Collection and Processing:
Collaborate with data engineers to gather and preprocess large datasets from various sources, ensuring data accuracy and reliability.
Implement robust data pipelines to support ongoing analysis and model training.
Real-time Monitoring:
Develop systems for real-time monitoring of user interactions and content consumption, providing actionable insights for immediate business decisions.
Collaboration:
Work closely with cross-functional teams, including product managers, content creators, and business stakeholders, to understand business objectives and align AI/ML strategies.
Model Optimization:
Continuously optimize and refine machine learning models to improve accuracy, efficiency, and relevance of content recommendations.
Stay Updated on Industry Trends:
Stay informed about advancements in AI/ML technologies, streaming industry trends, and emerging market opportunities to provide strategic insights.
Technical Skills:
Advanced Machine Learning:
Expertise in deploying advanced machine learning algorithms, particularly in TensorFlow, PyTorch, or Keras.
Model Deployment:
Hands-on experience deploying scalable and high-performance machine learning models in production environments.
Algorithm Optimization:
Strong proficiency in optimizing machine learning algorithms for efficiency, speed, and resource utilization.
Natural Language Processing (NLP):
In-depth knowledge of NLP techniques, specializing in text analysis, sentiment analysis, and language understanding.
Big Data Technologies:
Proficient in handling and processing large datasets using big data technologies like Data bricks.
Cloud Platforms:
Extensive experience with AWS, Azure, or GCP, including setting up and managing machine learning infrastructure in the cloud. (AWS preferred)
Database Management:
Solid understanding of database systems, particularly in handling streaming and real-time data
Version Control:
Proficient in Git for collaborative development and code management.
CI/CD (Continuous Integration/Continuous Deployment):
Experience in establishing CI/CD pipelines for automated testing, integration, and deployment of machine learning models.
Qualifications:
Required:
Master's or Ph.D. in Computer Science, Data Science, or a related field.
5+ years of experience, 2+ years in ML or Data science experience
Proven experience in developing and deploying machine learning models in a production environment.
Strong proficiency in programming languages such as Python, and experience with relevant libraries (TensorFlow, PyTorch, etc.).
Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
Strong collaborative and interpersonal skills.
Please answer the following questions to analyze your interest and experience:
Project Experience and Problem-Solving :
Can you describe a challenging project where you utilized machine learning algorithms to analyze streaming trends or user behavior, and how did you overcome any obstacles or difficulties encountered during the project?
Technical Skills and Model Deployment :
How do you approach deploying and optimizing machine learning models for scalability and performance in production environments, especially in the context of streaming analytics? Can you provide examples of your experience with model deployment?
Collaboration and Communication :
Describe a situation where you had to collaborate with cross-functional teams to align machine learning strategies with business objectives. How did you communicate complex technical concepts to non-technical stakeholders, and what was the outcome of the collaboration?
Please evaluate yourself with following technical skills and submit the completion certificate along with your detail profile:
Hackerrank - Problem Solving (Intermediate) :
: (Direct Link)
Hackerrank - Python (Basic):
: (Direct Link)
Hackerrank - SQL (Intermediate):
: (Direct Link)

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