AI / ML Engineer

Description :

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 :

Skills :

(ref : hirist.tech)