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, and 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
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
