Senior AI/ML Lead

KEY RESPONSIBILITIES: 

10+ years of experience in machine learning or AI engineering.

• Strong programming skills: Python (primary), plus experience with Java/Scala/Go is a plus.
• Expert knowledge of ML frameworks: PyTorch, TensorFlow, Scikit-learn.
• Hands-on experience with NLP, LLMs, deep learning, or computer vision.
• Experience deploying ML models in production at scale.
• Strong understanding of distributed systems, data pipelines, and cloud infrastructure.
• Experience with MLOps tools: MLflow, Kubeflow, Airflow, Vertex AI, SageMaker, Azure ML.
• Familiarity with vector databases, RAG systems, and fine-tuning LLMs.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Experience with Docker, Kubernetes, CI/CD pipelines.

PREFERRED EXPERIENCE: 

• Experience with large-scale training using GPUs/TPUs.
• Knowledge of model compression, quantization, and optimization frameworks (TensorRT, ONNX).
• Experience with streaming systems (Kafka, Kinesis, Pub/Sub).
• Previous experience in big data ecosystems: Spark, Hadoop, Databricks.
• Background in designing secure, compliant AI systems (privacy, governance, responsible AI).
• Contributions to open-source ML/AI projects.