What are the responsibilities and job description for the AIML - Machine Learning Engineer, NLP - Siri and Information Intelligence position at Karkidi?
As part of Apple Intelligence, the Siri team is at the forefront of the next revolution in machine learning and Generative AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide.
Opportunity
Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language, and artificial intelligence excite you?
We are seeking a highly skilled Machine Learning Engineer with expertise in developing and deploying applications powered by large language models (LLMs).
Responsibilities
- Develop or fine-tune machine learning models, including LLMs, for various applications, ensuring high accuracy and performance.
- Design and implement ETL pipelines and data processing workflows using technologies such as AWS, Spark, and Airflow.
- Build and deploy APIs to provide seamless access to machine learning models.
- Engage in prompt engineering to create high-quality synthetic datasets for model training and evaluation.
- Maintain and manage deployments using Kubernetes and related technologies.
- Collaborate with cross-functional teams to understand project requirements and deliver scalable solutions.
Requirements
- Strong programming skills in Objective Oriented Programming and system design using Python (or other languages).
- Experience with cloud services like AWS (S3, ECS, Lambda) and container orchestration using Kubernetes.
- Knowledge of big data technologies like Spark, Airflow, and Trino, and familiarity with databases like Snowflake, MySQL, PostgreSQL.
- Experience with data visualization and reporting tools such as Tableau.
Preferred Qualifications
- Prior experience in machine learning or related scientific research.
- Demonstrated ability to manage large datasets, generate synthetic data, fine-tune models, and conduct comprehensive statistical evaluations.
- Excellent problem-solving, communication, and teamwork skills.
- Proven experience in designing and building scalable applications and services.
- Advanced degree in Computer Science, Machine Learning, or a related field is preferred.
