Senior Data Scientist

Responsibilities:

• Design, build, and deploy end-to-end AI/ML solutions from experimentation to production.
• Work with LLMs, neural networks, RAG pipelines, agentic AI frameworks, and advanced data pipelines.
• Collaborate with product and engineering teams to rapidly prototype and ship multiple AI-driven products per month.
• Optimize model performance, scalability, and cost efficiency for real-world applications.
• Provide production support for deployed solutions and continuously enhance performance.
• Stay on the cutting edge of new AI frameworks, tools, and techniques—leveraging them to accelerate delivery.

Qualifications:

• 4+ years of hands-on experience in ML engineering or applied data science.
• Proven experience with large language models (LLMs), neural networks, retrieval-augmented generation (RAG), and agent-based AI systems.
• Strong skills in data pipeline design, ETL, and orchestration.
• Expertise in Python, PyTorch/TensorFlow, and familiarity with modern AI development stacks (LangChain, Hugging Face, vector databases, etc.).
• Experience deploying AI solutions in production environments (AWS, Azure, or GCP).
• Strong problem-solving and can-do attitude, with the ability to work in a fast-paced, iterative environment.
• Bonus: Experience contributing to multiple shipped AI products in a short time cycle.

Job Type: Full-time

Application Question(s):

• How many years of hands-on experience do you have in Machine Learning engineering or applied data science, particularly in production environments?
• Can you describe your experience working with large language models (LLMs) or RAG-based systems? Which frameworks or tools have you used (e.g., LangChain, Hugging Face, vector databases)?
• Have you deployed any AI/ML models into production on AWS, Azure, or GCP? If yes, please share an example and your specific role in that deployment.
• How comfortable are you with Python and deep learning frameworks like PyTorch or TensorFlow? Can you share a recent project where you optimized model performance or scalability?
• This role requires rapid prototyping and shipping multiple AI-driven products per month — have you worked in such an iterative, fast-paced development cycle before? If yes, describe your process.
• Current Salary
• Desired Salary

Work Location: Remote