ML Engineer / Data Scientist
5+ years
United States
Full-time
Remote
1 month ago
About the role
About The Company
Founded in 2013, Fusemachines is a global provider of enterprise AI products and services dedicated to democratizing artificial intelligence. The company leverages proprietary AI Studio and AI Engines to facilitate AI enterprise transformation for organizations of all sizes, regardless of their current stage in the digital AI journey. With a presence in North America, Asia, and Latin America, Fusemachines offers a comprehensive suite of enterprise AI solutions and specialized services tailored to industries such as retail, manufacturing, and government. The company's mission extends beyond business, actively promoting high-quality AI education in underserved communities and empowering organizations to realize their full potential with AI technology.
About The Role
We are seeking a highly skilled mid-to-senior Machine Learning Engineer / Data Scientist to join our remote team. In this role, you will be responsible for designing, developing, and deploying machine learning solutions that generate measurable business impact. Your work will span the entire ML lifecycle, including problem framing, data exploration, model development, evaluation, deployment, and ongoing monitoring. You will collaborate closely with client stakeholders and internal teams to translate business needs into technical solutions, ensuring models are robust, scalable, and production-ready. The ideal candidate will possess strong expertise in core data science concepts, applied machine learning, and experience working with real-world data sets to deliver actionable insights and operational models.
Qualifications
Responsibilities
Benefits
Equal Opportunity
Fusemachines is an Equal Opportunities Employer, committed to fostering a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable laws. We believe that diversity enhances our innovation and success, and we are dedicated to providing equal employment opportunities to all applicants.
Founded in 2013, Fusemachines is a global provider of enterprise AI products and services dedicated to democratizing artificial intelligence. The company leverages proprietary AI Studio and AI Engines to facilitate AI enterprise transformation for organizations of all sizes, regardless of their current stage in the digital AI journey. With a presence in North America, Asia, and Latin America, Fusemachines offers a comprehensive suite of enterprise AI solutions and specialized services tailored to industries such as retail, manufacturing, and government. The company's mission extends beyond business, actively promoting high-quality AI education in underserved communities and empowering organizations to realize their full potential with AI technology.
About The Role
We are seeking a highly skilled mid-to-senior Machine Learning Engineer / Data Scientist to join our remote team. In this role, you will be responsible for designing, developing, and deploying machine learning solutions that generate measurable business impact. Your work will span the entire ML lifecycle, including problem framing, data exploration, model development, evaluation, deployment, and ongoing monitoring. You will collaborate closely with client stakeholders and internal teams to translate business needs into technical solutions, ensuring models are robust, scalable, and production-ready. The ideal candidate will possess strong expertise in core data science concepts, applied machine learning, and experience working with real-world data sets to deliver actionable insights and operational models.
Qualifications
- 3–8 years of experience in data science, machine learning engineering, or applied ML roles
- Proficiency in Python for data analysis and modeling (pandas, numpy, scikit-learn or equivalent)
- Advanced SQL skills, including joins, window functions, and performance optimization
- Solid understanding of statistics, hypothesis testing, uncertainty quantification, bias/variance tradeoff, and experimental design
- Hands-on experience with multiple model types including classification, regression, time series forecasting, clustering, and segmentation
- Experience with deep learning frameworks such as PyTorch or TensorFlow/Keras
- Strong problem-solving skills, ability to work with ambiguous goals and messy data environments
- Excellent communication skills with the ability to translate technical analysis into actionable insights
Responsibilities
- Translate business questions into machine learning problem statements, defining success metrics and evaluation strategies
- Collaborate with stakeholders to understand practical constraints such as latency, interpretability, and data availability
- Extract, join, and analyze data from relational databases and data warehouses using SQL and Python
- Perform data profiling, missing data analysis, leakage checks, and exploratory data analysis to inform modeling choices
- Develop and optimize robust feature pipelines, including aggregation, encoding, scaling, and embeddings as appropriate
- Train, tune, and validate supervised learning models for structured data, applying best practices for handling missing data, categorical variables, and class imbalance
- Build time series models and validate with proper backtesting techniques
- Implement clustering and segmentation methods, evaluating their stability and business usefulness
- Apply statistical methods such as hypothesis testing and confidence intervals to support inference and decision-making
- Design and train deep learning models using PyTorch or TensorFlow/Keras, adhering to best practices for regularization and reproducibility
- Evaluate model performance using appropriate metrics and generate comprehensive evaluation reports
- Perform error analysis, interpret model results (using SHAP, feature importance, cohort analysis), and iterate to improve models
- Package models for deployment, collaborating with engineering teams on integration into production environments
- Implement MLOps practices including version control, automated evaluation, monitoring for drift, and retraining strategies
- Communicate findings, tradeoffs, and recommendations clearly to both technical and non-technical stakeholders
- Create documentation and demos to facilitate understanding and actionable decision-making
Benefits
- Competitive salary package aligned with experience and skills
- Remote work flexibility, allowing work from anywhere
- Opportunities for professional growth and development in a global AI-focused organization
- Collaborative and innovative work environment with access to cutting-edge AI tools and technologies
- Participation in impactful projects across diverse industries
- Supportive company culture emphasizing diversity, inclusion, and continuous learning
Equal Opportunity
Fusemachines is an Equal Opportunities Employer, committed to fostering a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable laws. We believe that diversity enhances our innovation and success, and we are dedicated to providing equal employment opportunities to all applicants.
Skills
Information TechnologyTechnology, Information and Internet