Job Title: AI Developer

Location: [City, State or Remote]

Job Type: Full-Time

Department: Technology / Data Science / AI

Reports to: Head of AI / CTO / Engineering Manager

Job Summary:

We are looking for a skilled and passionate AI Developer to join our growing team. You will be responsible for designing, developing, and deploying AI and machine learning models to solve real-world problems and enhance business processes. This role requires strong programming skills, a solid foundation in machine learning, and a passion for innovation.

Key Responsibilities:

• Design, build, and deploy AI and machine learning models and solutions.
• Work with cross-functional teams to understand business requirements and translate them into technical solutions.
• Collect, preprocess, and analyze large datasets from various sources.
• Implement models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Optimize models for performance, accuracy, scalability, and production deployment.
• Monitor model performance in production and retrain/update as needed.
• Stay up to date with the latest advancements in AI/ML research and technologies.
• Develop APIs or integrate models into applications using tools like Flask, FastAPI, or other frameworks.
• Collaborate with data engineers, backend developers, and product teams.
• Maintain clear documentation and version control for models and code.

Requirements:

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.
• [1–3 / 3–5 / 5+ years] of experience in AI/ML model development and deployment.

Technical Skills:

• Proficiency in Python (preferred) or R/Java/Scala.
• Hands-on experience with ML frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
• Experience with NLP, Computer Vision, or Generative AI is a plus.
• Experience deploying models using Docker, Kubernetes, or cloud platforms (AWS/GCP/Azure).
• Knowledge of MLOps practices and tools (e.g., MLflow, DVC, Kubeflow) is desirable.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to work independently and manage time effectively in a dynamic environment.

Preferred Qualifications:

• Experience with LLMs (e.g., OpenAI, Hugging Face Transformers).
• Familiarity with prompt engineering and fine-tuning foundation models.
• Published work, contributions to open-source AI projects, or Kaggle competitions.

Benefits:

• Competitive salary and performance bonuses.
• Health, dental, and vision insurance.
• Flexible working hours and remote work options.
• Access to training, conferences, and AI research resources.