ML Engineer
Kathmandu
About Fusemachines
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 Role
We are seeking a Machine Learning Engineer with hands-on Python experience and proven analytical and problem-solving skills. You will be involved with various data engineering
aspects - data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will possess strong technical and interpersonal skills, along with certain ML skills. In addition, the candidate will collaborate across multi-functional teams
to achieve product milestones as agreed with stakeholders.
Key Responsibilities
- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Verifying data quality and ensuring it via data cleaning
- Defining validation strategies
- Defining the preprocessing or feature engineering to be done on a given dataset
- Defining data augmentation pipelines
- Finding available datasets that could be used for training
- Training models and tuning their hyperparameters
- Analyzing the errors of the model and designing strategies to overcome them
- Deploying models to production
- Work independently and collaboratively on a multi-disciplined project team in an Agile development environment.
- Be actively involved in the design, development and testing activities for Big data product.
- Provide feedback to development teams on code/architecture optimization.
Required Skills and Experience
- Hands-on experience developing Python, PySpark.
- Possess a strong foundation in statistics and utilize statistical methods to analyze data and derive meaningful insights
- Familiarity with Azure Databricks or similar.
- Proficiency with a deep learning frameworks such as TensorFlow or PyTorch or Keras
- Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
- Expertise in visualizing and manipulating big datasets
- Ability to select hardware to run an ML model with the required latency
- Familiarity with Azure services.
- Proven experience with CI/CD.
- Proven experience with version control (Github, Bitbucket).
- Familiarity with Linux OS/concepts
- Strong written and verbal communication skills.
- Self-motivated and ability to work well in a team.
Qualification
Bachelor of Science degree from an accredited university
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 applicable federal, state, or local laws.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Azure Big Data Bitbucket CI/CD Databricks Data quality Deep Learning Engineering Feature engineering GitHub Keras Linux Machine Learning Pandas Pipelines PySpark Python PyTorch Scikit-learn Statistics TensorFlow Testing
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Data Science Manager jobs
- Open Principal Data Engineer jobs
- Open Marketing Data Analyst jobs
- Open Power BI Developer jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Business Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Consulting-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs