AI Engineer

We are seeking an experienced AI Engineer with a strong background in machine learning, deep learning, and AI model development. The ideal candidate will have 5+ years of hands-on experience designing, implementing, and deploying AI/ML solutions in production environments. You will work closely with cross functional teams to develop cutting-edge AI systems that drive business value.

Key Responsibilities:

Optimize and fine-tune AI models for performance, scalability, and efficiency. Work with large datasets, including data preprocessing, feature engineering, and model training. Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs. Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems. Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges. Conduct A/B testing, model validation, and performance monitoring to ensure robustness. Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.). Mentor junior engineers and contribute to technical decision-making.

Required Skills & Qualifications:

3 to 5 years of professional experience in AI/ML engineering or related roles. Strong expertise in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with deep learning architectures (CNNs, RNNs, Transformers, GANs, etc.). Experience with generative AI (Diffusion models, LLM fine-tuning, RAG). Proficiency in NLP (BERT, GPT, LLMs) or Computer Vision (OpenCV, YOLO, etc.) Hands-on experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes). Knowledge of cloud-based AI services (AWS SageMaker, GCP Vertex AI, Azure ML). Familiarity with big data technologies (Spark, Hadoop, SQL/NoSQL databases). Strong problem-solving skills and ability to translate business needs into AI solutions. Experience with CI/CD pipelines and version control (Git). Bachelors or Masters in Computer Science, AI, or related field (preferred but not mandatory).