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Artificial Intelligence Engineer Position
3 weeks ago
We are seeking a highly skilled Artificial Intelligence Specialist to join our global AI team.
This is an exciting opportunity for a talented individual to contribute to the development and implementation of innovative AI solutions.
- Design and develop custom machine learning models for business-specific problems (NLP, computer vision, predictive modeling, recommendation systems, etc.).
- Build and maintain scalable AI pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.
- Collaborate with cross-functional teams to integrate AI solutions into real-world products.
- Ensure high-performance, scalable, and production-ready deployment using MLOps practices.
- Optimize models with advanced techniques (hyperparameter tuning, distributed training, GPU optimization).
- Contribute to research initiatives and adopt the latest innovations in LLMs, generative AI, and automation frameworks.
- Document technical processes, architectures, and pipeline workflows for reproducibility and knowledge sharing.
Requirements:
We are looking for a candidate with:
- Bachelor's/Master's in Computer Science, Artificial Intelligence, Data Science, or related field.
- 5+ years of hands-on experience in developing AI/ML solutions.
- Strong programming expertise in Python and frameworks like PyTorch, TensorFlow, Scikit-learn, Hugging Face.
- Proven track record in building and managing ML pipelines (Airflow, Kubeflow, MLflow, Prefect, etc.).
- Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
- Hands-on experience with cloud AI/ML platforms (AWS Sagemaker, Azure ML, or GCP Vertex AI).
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Strong problem-solving ability and ability to work independently in a remote environment.
Preferred Skills:
The ideal candidate should have experience in:
- Fine-tuning Large Language Models (LLMs).
- Exposure to real-time/streaming data processing (Kafka, Spark Streaming).
- Knowledge of microservices and API development for model integration.
- Experience with generative AI and reinforcement learning techniques.