Artificial Intelligence Developer

Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

Job Description

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.

The ideal candidate is skilled in AI frameworks, cloud-based AI services, and MLOps, ensuring scalable and high-performance AI solutions. They will work closely with Data Engineers, Machine Learning Engineers, Web Developers, and Business Analysts to transform AI research into practical, business-driven applications.

A successful AI Developer will leverage cutting-edge AI models, optimize computational efficiency, and deploy intelligent systems that drive automation, enhance customer experience, and improve overall business intelligence


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.


Benefits


  • HMO Coverage
  • Competitive Salary
  • Applicants living outside Central Luzon (Pampanga) will be offered a one time relocation assistance.
  • Vacation Leave and Sick Leaves

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