Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
About the Role
This is a remote, contract based role for 3 - 6 months with possibility of extension. As a Data Scientist, you will play a crucial role in designing, developing, and implementing Machine Learning models and Generative AI solutions. You will work closely with ML Engineers, Data Engineers, and other stakeholders to ensure our AI applications are robust, scalable, and impactful.
Roles and Responsibilities
Your responsibilities will include, but are not limited to:
Own and develop Machine Learning solutions to solve unstructured, complex business problems
Maintain and optimize existing Machine Learning solutions and improve them with more efficient methods
Monitor models’ performance in production to ensure the highest quality level, report on development status, identify risk areas and support the Data Science team
Build state-of-the-art & cost-efficient solutions leveraging GenAI models for multiple use cases (summarisation, classification, chatbots)
Perform statistical analysis on existing and new datasets to help SME stakeholders identify areas for improvement
Communicate technical solutions to non-technical stakeholders successfully
Research new methods and techniques in AI/ML to improve processes and methodologies
Required Skills
The individual applying for this role must have 2-4 years of experience as a Data Scientist building production-ready Machine Learning solutions.
Experience with common Machine Learning frameworks and methods and developing business-oriented data solutions (e.g., data mining, process optimization, predictive modeling)
Experience building GenAI solutions with LLMs and familiarity with both open-source and Proprietary LLMs
Proficiency in using Databricks for developing and managing machine learning workflows
A background in a quantitative discipline (Computer Science, Maths, Statistics, Engineering), or a PhD with a focus on quantitative methodologies. Don’t be afraid to apply for this role if you come from a different background, as long as you have relevant experience
Strong coding skills: Python (it’s a must), SQL, PySpark, and R are used across multiple projects
Hands-on experience with Machine Learning libraries such as Scikit-Learn, TensorFlow, Keras, PyTorch, or H2O
Hands-on experience with LLMs to build RAG solutions using Hugging Face, LangChain, and/or OpenAI models
Problem-solving skills, critical thinking, and a creative mindset
Excellent written and verbal communication
Excellent organizational, problem-solving, and communication skills
Ability to thrive in a fast-paced, rapidly changing environment and remain composed under pressure
A good level of English is expected (C1/C2)
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by law.
