
Senior Machine Learning Engineer
2 days ago
Our organization is at the forefront of applied AI, leveraging intelligent systems and data platforms to empower ventures. We're seeking a skilled Senior Machine Learning Engineer to work at the intersection of data, machine learning, and product development.
About the Role:
- Develop and experiment with machine learning models and data-driven features like recommendation systems, NLP, generative AI, and predictive analytics.
- Collect, clean, and analyze structured + unstructured data to uncover insights supporting product decisions.
- Rapidly test ideas in notebooks, then work with engineers to productionize models using MLOps practices.
- Design experiments (A/B tests, evaluation pipelines), define success metrics, and continuously improve model performance.
- Partner with product managers, designers, and engineers to ensure data and AI capabilities directly support real-world use cases.
Requirements:
- 5-10 years of experience as a Data Scientist / ML Engineer (startup or product environment a plus).
- Strong programming skills in Python; comfort with libraries like Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, or Hugging Face.
- Experience with data pipelines and storage (SQL, NoSQL, or vector databases).
- Understanding of retrieval-augmented generation (RAG) and generative AI techniques.
- Familiarity with MLOps, model deployment, and monitoring (Docker, Kubernetes, cloud platforms).
- Strong analytical and communication skills—able to turn data into insights and insights into product decisions.
- Experience working in early-stage startups or venture building environments.
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