ML Engineer

This is a highly skilled Machine Learning Engineer role to design, build, deploy, and scale machine learning models that power data-driven products and intelligent systems.

Requirements

• 3–7+ years of hands-on experience in Machine Learning or applied AI roles
• Strong programming skills in Python (and/or Java, Scala)
• Solid understanding of ML algorithms (supervised, unsupervised, deep learning)
• Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn
• Experience deploying models using Docker, Kubernetes, or cloud ML services
• Strong knowledge of data structures, algorithms, and software engineering principles
• Experience working in agile, cross-functional teams
• Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services
• Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML)
• Experience with big data technologies (Spark, Kafka, Databricks)
• Background in NLP, Computer Vision, or Generative AI
• Strong problem-solving and analytical thinking
• Production-first mindset
• Data-driven decision making
• High Collaboration and communication skills

Benefits

• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Generous Paid Time Off
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance