We're seeking an AI/ML Engineer to join our team. As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems.

You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io.

Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities :

- Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI.

- AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.

- Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models.

- Perform feature engineering to extract relevant features from the data.

- Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance.

- Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics.

- Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics.

- Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems.

- Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes.

- Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions.

- Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.

Requirements :

- Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field.

- Advanced degrees or certifications in AI/ML are a plus.

- Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects.

- Proficiency in programming languages commonly used for AI/ML. Preferably Python.

- Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.

- Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.

- Strong understanding of machine learning algorithms, statistics, and data structures.

- Experience with data preprocessing, data wrangling, and feature engineering.

- Knowledge of deep learning architectures, neural networks, and transfer learning.

- Familiarity with cloud platforms and services (e., AWS, Azure, Google Cloud) for scalable AI/ML deployment.

- Solid understanding of software engineering principles and best practices for writing maintainable and scalable code.

- Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions.

- Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders.

Skills :

- Python, Django, Flask, Data Structures, Algorithms, Artificial Intelligence (AI), Machine Learning (ML), Amazon Web Services (AWS) and Neural networks.