Description

You will lead technical design and deployment of machine learning models integrated directly into products.

Responsibilities

• Lead technical design and development of ML models and systems focused on product integration.
• Collaborate with product teams to translate business requirements into technical solutions.
• Build and optimize ML pipelines for training, evaluation, and deployment.
• Implement best practices for model monitoring, maintenance, and improvement.
• Work with generative AI technologies to create novel product features.
• Mentor junior team members on ML best practices and engineering principles.

Required Skills

• 6+ years of experience building and deploying ML systems in production environments.
• Proficiency in Python and ML libraries including scikit-learn, pandas, and numpy.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Demonstrated experience integrating ML capabilities into user-facing products.
• Understanding of MLOps practices, including model serving, monitoring, and maintenance.
• Knowledge of MLOps tools like feature stores, experiment tracking, and model registries.
• Experience with generative AI concepts, including large language models or diffusion models.
• Experience with API frameworks such as FastAPI or Flask.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Preferred Skills

• Experience with prompt engineering, fine-tuning LLMs, vector databases, or RAG.
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker).

Key Skills

Education

Any Gradute