#астана
Senior AI/ML Engineer (remote, part time)
IT-company: www.sagi.kz
Salary: $1000-1500
Responsibilities:
1. Develop AI Models:
• Build and optimize machine learning models for personalized recommendations, predictive analytics, and real-time customer engagement.
2. Natural Language Processing (NLP):
• Implement NLP algorithms to allow seamless communication between customers and the AI platform using both text and voice inputs.
3. Data Engineering & Processing:
• Collaborate with data engineers to collect, clean, and process large datasets to train machine learning models.
4. Model Evaluation & Testing:
• Evaluate model performance using various metrics (accuracy, precision, recall, etc.) and fine-tune models to achieve optimal results.
5. Deployment:
• Implement AI models into production environments, ensuring they are scalable and robust.
6. AI Integration:
• Work closely with backend and frontend teams to integrate AI/ML components into the Sagi platform.
7. Continuous Learning:
• Stay up-to-date with the latest research in AI/ML and apply innovative techniques to improve platform capabilities.
Key Requirements:
Technical Skills:
1. Programming Languages:
• Proficiency in Python is essential (e.g., libraries like TensorFlow, Keras, PyTorch, Scikit- learn).
• Experience with other programming languages such as C++, Java, or R is a plus.
2. Machine Learning Expertise:
• Strong experience in building and deploying machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.
• Familiarity with common machine learning algorithms (e.g., regression, classification, clustering, neural networks).
3. Natural Language Processing (NLP):
• Experience in NLP techniques such as text classification, named entity recognition (NER), sentiment analysis, speech-to-text, and chatbots.
• Knowledge of libraries like spaCy, NLTK, and Hugging Face Transformers.
4. Data Handling:
• Strong experience with data cleaning, feature engineering, and working with large-scale datasets.
• Familiarity with SQL and NoSQL databases for data management.
5. Model Deployment:
• Experience in deploying AI/ML models to production environments using cloud services like AWS, Google Cloud, or Azure.
• Familiarity with MLOps practices such as model versioning, containerization (Docker), and continuous integration (CI/CD).
6. Data Science and Statistical Analysis:
• Strong understanding of statistics and probability theory.
• Experience in exploratory data analysis (EDA) and using statistical methods for evaluating model performance.
7. Version Control:
• Proficiency in version control systems such as Git.
Experience & Education:• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of hands-on experience working in AI/ML roles.
• Proven experience deploying ML models in production at scale.
Preferred Qualifications:• Experience with reinforcement learning, generative models, or advanced deep learning techniques (e.g., GANs, RNNs).
• Understanding of ethical AI and data privacy regulations (GDPR, CCPA).
• Experience working in startup environments or fast-paced development cycles.
How to Apply:
Interested candidates can send their resume to
[email protected]
or @jaksyes telegram