Machine Learning Jobs in Bolivia.
All active Machine Learning roles based in Bolivia.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Job Title: Senior Data Analyst
Key Skills: SQL, Snowflake, Data Analysis, Excel, Google Sheets, Tableau, Power BI, Looker, Data Visualization, Data Quality, AI/ML Tools
Experience: +5 YOE.
Location: Bolivia
Mode: Remote
We at Coforge are hiring Position (#21027) with the following skill set.
Key Responsibilities
- Analyze large and complex datasets to generate actionable business insights.
- Develop and optimize advanced SQL queries, joins, and data transformations.
- Work with cloud data warehouses such as Snowflake to manage and process data efficiently.
- Create dashboards and reports using data visualization tools like Tableau, Power BI, or Looker.
- Collaborate with cross-functional teams and stakeholders to understand business requirements and translate them into analytical solutions.
- Utilize AI or machine learning tools to enhance data analysis and identify trends or patterns.
Required Skills & Qualifications
- Advanced proficiency in SQL, including complex queries, joins, and data transformations.
- Hands-on experience with Snowflake or similar cloud data warehouse platforms.
- Strong experience with pivot tables and data analysis using Excel or Google Sheets.
- Experience troubleshooting and resolving data quality and integrity issues.
- Knowledge of AI or machine learning tools for large-scale data analysis.
- Proficiency with data visualization tools such as Tableau, Power BI, or Looker.
- Strong analytical thinking and problem-solving skills.
- Excellent communication and presentation skills.
- Bachelor’s degree in Data Analytics, Computer Science, Statistics, or related fields (or equivalent experience).
Preferred Skills:
- Experience working in Agile environments.
- Familiarity with Python or R for data analysis.
- Knowledge of ETL/ELT processes and data pipelines.
- Experience working with business intelligence and reporting frameworks.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
Posted On: 8-May-26
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to EncoraImportant Information
Location: Bolivia
Work Mode: Hybrid
Job Summary
As a Senior Machine Learning Engineer (20529), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.
Responsibilities and Duties
- Design, build, and deploy scalable machine learning models and pipelines across the full ML lifecycle
- Develop and optimize data processing workflows using Python, SQL, and distributed frameworks such as PySpark
- Deploy and monitor machine learning models in cloud environments, ensuring performance, reliability, and scalability
- Collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance
Qualifications and Skills
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience
- 5+ years of experience as a Machine Learning Engineer with a focus on deploying and scaling ML systems
- Strong proficiency in Python, SQL, and PySpark for large-scale data processing
- Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
- Experience designing and managing end-to-end ML pipelines using tools such as MLflow or similar
- Experience deploying models in cloud platforms such as AWS, GCP, Azure, or Databricks
- Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining
- Experience working with containerized environments and Kubernetes for ML workloads
- Ability to design evaluation metrics and validate model performance effectively
- Strong communication and collaboration skills to work with cross-functional teams and stakeholders
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to Encora
Senior Data Analyst
Share this job
The key to our success is simple; we deliver the highest quality, on time, with passion and commitment, and live every day by a set of great values. We've built a company that fosters long-term careers in an environment of continuous learning, with cutting-edge benefits, tools, and resources. In addition, certifications that endorse our company as a great place to work.
Responsibilities
- Investigate fraud cases end-to-end across application, funding, and repayment stages.
- Analyze historical data to identify fraud patterns and vectors.
- Develop and validate fraud detection rules and signals.
- Analyze loan application datasets to identify anomalies and manipulation patterns.
- Detect predictors of early default and improve underwriting strategies.
- Analyze customer behavior, authentication flows, and drop-offs.
- Identify opportunities to improve conversion while maintaining security.
- Translate analytical findings into actionable insights for stakeholders.
- Collaborate with cross-functional teams to drive data-informed decisions.
Requirements
- Advanced SQL skills including joins and window functions.
- Strong experience in statistical analysis and hypothesis testing.
- Experience in fraud detection, risk analytics, or underwriting analysis.
- Strong experience working with behavioral and transactional data.
- Experience handling messy and complex datasets.
- Experience with experimentation methods such as A/B testing.
- Strong problem-solving and analytical thinking skills.
- Ability to communicate insights effectively to business and technical teams.
- Experience with Python, BI tools, or machine learning exposure.
- Background in fintech, lending, or underwriting systems.
#LI-REMOTE
About us
AssureSoft is a multinational software development and information technology company providing strategic consulting, technology services, and outsourcing business processes. We work to innovate and create quality software with motivated, passionate, and qualified teams that develop in an environment of professional, stable growth and continuous learning.
Inclusive Opportunities for Every Talent. At AssureSoft, we believe that true innovation is born from diversity—of ideas, experiences, and perspectives. That’s why our hiring practices are inclusive and reflect a firm commitment to equity and equal opportunity.
Here, every person—regardless of origin, gender, orientation, or beliefs—finds a space to grow, contribute, and be valued not only for their talent, but also for who they are.
What sets us apart
- Great Place To Work certification.
- A company with more than 15 years of experience.
- Work with world-class clients and long-term projects.
- English scholarships for an external institute.
- English classes with company teachers.
- State-of-the-art tools and resources.
- Certifications for your professional growth.
- Recreation and leisure activities.
- Compliance with the regulations and labor rights of your region.
Retention of your personal information: AssureSoft will retain your personal information for as long as necessary to fulfill the purposes for which it was collected or as necessary to comply with our legal obligations, resolve disputes, and maintain appropriate business records. Once the purpose has been fulfilled, your personal information will be retained and blocked due to the possibility of legal and governmental requirements, and until the status of limitations has run out.
Important Notice Regarding Personal Information: If you do not want your personal and professional information to be retained in our database, please send your request for data removal to info@assuresoft.com.
Ready to apply?
Apply to AssureSoft - Careers