AI Solutions Developer

Job Description for an AI Solutions Developer

AI Solutions Developer

We are looking for a skilled AI Solutions Developer who will be responsible for designing, developing, and deploying AI-powered applications and solutions. The developer should be proficient in building end-to-end AI and machine learning models and integrating them into business applications to solve real-world problems.

To be successful, you should be capable of handling AI projects independently, collaborating with cross-functional teams, and delivering scalable AI solutions within tight deadlines.

Experience Required: 1 – 1.5 years
Notice Period: Immediate or maximum 1 week
Job Type: Permanent / Full-Time (Office-based)

Responsibilities:

• Design, develop, and deploy AI-driven applications and solutions.
• Collaborate with data scientists, developers, and stakeholders to gather requirements and propose AI-based solutions.
• Build and train machine learning and deep learning models for predictive analytics, automation, and optimization.
• Integrate AI models into web, mobile, and enterprise applications using APIs.
• Perform data preprocessing, feature engineering, and ensure high data quality.
• Optimize model performance for accuracy, speed, and scalability.
• Deploy AI models on cloud platforms such as AWS, Azure, or GCP.
• Troubleshoot, debug, and enhance AI solutions as per project requirements.
• Conduct unit testing, integration testing, and code reviews for AI projects.
• Keep up to date with the latest trends, tools, and best practices in AI and machine learning.
• Ensure code quality, maintainability, and scalability of AI solutions.
• Communicate effectively with team members and stakeholders.

Skills:

• Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Hands-on experience with Natural Language Processing (NLP) frameworks (SpaCy, NLTK, Hugging Face).
• Familiarity with Computer Vision tools (OpenCV) and deep learning techniques.
• Experience with RESTful APIs integration and deployment of AI models using Flask or FastAPI.
• Knowledge of cloud platforms (AWS SageMaker, Azure ML, GCP AI Platform).
• Experience with databases (SQL, NoSQL – MongoDB, Firebase).
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.
• Familiarity with version control tools like Git.
• Good understanding of Agile methodologies and Software Development Life Cycle (SDLC).
• Knowledge of MLOps practices, including CI/CD for model deployment and monitoring.
• Understanding of AI security best practices and ethical considerations.
• Excellent debugging, problem-solving, and performance optimization skills.
• Strong communication and collaboration skills.
• Good command of English language for client communication.
• Knowledge of TypeScript and JavaScript for AI integration is a plus.
• Experience with Generative AI, Chatbots, or AI Automation is a plus.

Job Category: AI Solutions Developer
Job Type: Full-Time (On-site)