Ml Engineer Jobs

About The Position

Requirements

• 8+ years of experience in AI/ML, deep learning, or applied AI
• Expertise in Python and ML frameworks (TensorFlow, PyTorch, JAX, Hugging Face Transformers)
• Strong background in computer vision, NLP, generative AI, or reinforcement learning
• Experience developing scalable AI pipelines, data processing workflows, and distributed training systems
• Familiarity with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platforms (MLflow, TFX, SageMaker)
• Deep understanding of LLMs, transformer architectures, and retrieval-augmented generation (RAG) pipelines
• Experience with model quantization, fine-tuning, and optimization for performance
• Strong knowledge of cloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)
• A track record of technical leadership, mentoring, and driving AI innovation

Responsibilities

• Architect, develop, and optimize machine learning and deep learning models for production systems
• Research and apply state-of-the-art AI methodologies, including LLMs, transformers, and reinforcement learning
• Lead AI strategy, identifying opportunities for innovation and model optimization
• Develop scalable training and inference pipelines for AI-powered applications
• Work closely with engineering, data, and product teams to integrate AI/ML into business solutions
• Optimize ML models for efficiency, accuracy, and scalability in real-world deployments
• Ensure robust MLOps practices, including model monitoring, retraining, and deployment automation
• Collaborate on AI/ML research publications, patents, and open-source contributions