Deskripsi Pekerjaan
InnovateAI Solutions is seeking a visionary and highly skilled AI/Machine Learning Engineer to join our dynamic team in San Francisco. As a leader in leveraging artificial intelligence to solve complex real-world problems, we are committed to pushing the boundaries of what's possible. If you are passionate about building intelligent systems, thrive on data-driven insights, and are eager to make a significant impact, this is your opportunity.
In this role, you will be instrumental in designing, developing, and deploying cutting-edge machine learning models and AI solutions across various projects. You will work with large datasets, advanced algorithms, and state-of-the-art technologies, collaborating closely with data scientists, software engineers, and product managers. This is a chance to contribute to impactful initiatives that will redefine industries and user experiences.
We foster a collaborative, innovative, and challenging environment where continuous learning and professional growth are highly valued. Join us and help us transform ideas into intelligent realities!
Tanggung Jawab
- Design, develop, and implement scalable machine learning models and AI algorithms.
- Collect, preprocess, and analyze large datasets to extract meaningful insights and prepare them for model training.
- Evaluate, optimize, and fine-tune machine learning models for performance, accuracy, and efficiency.
- Deploy and maintain AI/ML solutions in production environments, ensuring robust and reliable operation.
- Research and evaluate new AI/ML technologies, tools, and methodologies to enhance our capabilities.
- Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
- Develop and maintain MLOps pipelines for model lifecycle management, including versioning, monitoring, and retraining.
- Communicate complex technical concepts and findings to both technical and non-technical stakeholders.
Kualifikasi
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- 3+ years of professional experience in developing and deploying machine learning models in a production environment.
- Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
- Solid understanding of machine learning algorithms, statistical modeling, and deep learning architectures.
- Experience with data processing and manipulation tools (e.g., Pandas, SQL, Spark).
- Familiarity with cloud platforms (AWS, GCP, or Azure) for model deployment and MLOps.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills and experience presenting complex technical information.