Job Overview:
The AI Developer plays a crucial role in designing, developing, and deploying AI-driven applications to enhance business processes, automation, and decision-making. This position requires a deep understanding of machine learning (ML), deep learning, natural language processing (NLP), and computer vision, along with expertise in software development to create AI-powered solutions that seamlessly integrate with existing enterprise systems.
Responsibilities:
1. AI Model Development & Training
- Develop and train AI models for natural language processing (NLP), computer vision, and generative AI applications.
- Implement deep learning architectures using TensorFlow, PyTorch, JAX, or Hugging Face Transformers.
- Fine-tune pre-trained foundation models (OpenAI GPT, LLaMA, Falcon, BERT, Stable Diffusion) for specific use cases.
- Optimize model performance using techniques like quantization, pruning, and knowledge distillation.
2. AI Deployment & MLOps
- Deploy AI models in production using containerized environments (Docker, Kubernetes, TensorFlow Serving, ONNX Runtime).
- Integrate AI models into enterprise applications via APIs, microservices, and edge computing.
- Monitor AI models in production, ensuring real-time inference, performance tuning, and retraining pipelines.
- Utilize MLflow, Weights & Biases, or Kubeflow for AI model tracking, versioning, and lifecycle management.
3. AI-Powered Automation & Intelligent Systems
- Implement AI-powered chatbots, virtual assistants, recommendation systems, and predictive analytics.
- Leverage LLMs (Large Language Models) to create autonomous AI agents, document processing systems, and AI-powered search engines.
- Develop AI-enhanced robotic process automation (RPA) for workflow automation.
4. AI for Web & Software Development
- Work with Web Developers to integrate AI-powered features like voice assistants, AI-driven search, and image recognition.
- Develop AI-driven UI/UX personalization engines that enhance user experience.
- Implement AI-based content generation tools, image/video synthesis, and speech-to-text applications.
5. AI Ethics, Bias Mitigation & Compliance
- Ensure AI models align with ethical AI principles and mitigate bias using fairness-aware machine learning techniques.
- Adhere to AI compliance frameworks such as GDPR, HIPAA, and Responsible AI policies.
- Develop interpretable AI models and explainability techniques using SHAP, LIME, and Captum.
6. Collaboration & Agile Development
- Work closely with Data Engineers, Web Developers, and Business Analysts to align AI solutions with business objectives.
- Participate in Agile/Scrum development using tools like JIRA, ClickUp, or Trello.
- Communicate AI concepts to non-technical stakeholders, ensuring seamless adoption of AI solutions.
Qualifications:
- Bachelor’s or Master’s degree in AI, Computer Science, Data Science, Machine Learning, or a related field.
- 2+ years of professional experience in AI/ML development.
- Strong programming skills in Python (PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers).
- Experience in NLP (BERT, GPT, LLaMA, T5, LangChain, spaCy, NLTK).
- Knowledge of computer vision (YOLO, OpenCV, CLIP, Stable Diffusion).
- Hands-on experience with cloud AI services (AWS SageMaker, GCP Vertex AI, Azure AI).
- Strong background in MLOps, model deployment, and automation.
- Experience in data preprocessing, feature engineering, and model evaluation.
- Familiarity with vector databases (Pinecone, FAISS, ChromaDB, Weaviate) for AI-powered search and embeddings.
- Strong analytical skills and problem-solving mindset.
- Excellent communication skills and ability to collaborate across teams.