
AI Solutions Architect
7 days ago
We are seeking an experienced AI/NLP Engineer to join our team. The ideal candidate will have expertise in working with large language models and AI-based tools, strong analytical skills, and experience developing, testing, and refining AI-driven applications.
Our team is passionate about tackling complex business challenges with innovative solutions while transforming the value chain.
The core areas of focus for this role include:
- Algorithm Development: Developing algorithms that drive business outcomes and improve customer experiences.
- Model Deployment: Deploying models on cloud platforms such as AWS SageMaker, GCP Vertex AI, and Azure ML.
- Scalability: Ensuring scalability and performance of AI systems in production environments.
The ideal candidate will have a strong background in programming languages such as Python, TensorFlow, PyTorch, and Scikit-learn. Additionally, they should have experience with MLOps and deployment using Docker, Kubernetes, MLflow, and Airflow.
Key Technologies: Cloud computing (AWS, GCP, Azure), Big Data (Spark, Kafka, Hadoop), Databases (SQL, NoSQL, GraphDBs), DevOps (CI/CD, GitHub Actions, Terraform), Optimization (ONNX, TensorRT, Pruning & Quantization).
Responsibilities:
- Developing and deploying AI-powered solutions.
- Ensuring high-quality data processing and analytics pipelines.
- Collaborating with cross-functional teams to integrate AI into business processes.
Requirements:
- Bachelor's degree in Computer Science or related field.
- At least 3 years of experience in AI engineering or related field.
- Strong programming skills in Python, Java, or C++.
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