Overview
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a Lead Data Scientist to help build and scale advanced Machine Learning solutions. This role is ideal for a strong Data Scientist with solid coding capabilities, hands-on ML experience, and exposure to MLOps practices. The selected
Full job description
About the company
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
We are seeking a Lead Data Scientist to help build and scale advanced Machine Learning solutions. This role is ideal for a strong Data Scientist with solid coding capabilities, hands-on ML experience, and exposure to MLOps practices. The selected candidate will play a key role in designing, developing, and deploying ML models while collaborating with cross-functional teams and contributing to technical leadership initiatives.
Full job description
- Design, develop, and deploy Machine Learning models to solve business problems.
- Write production-level code to support scalable ML solutions.
- Collaborate with data engineers and software engineers to integrate ML models into production environments.
- Contribute to the implementation of MLOps best practices for model monitoring, versioning, and deployment.
- Work with cloud platforms (AWS, GCP, or similar) to build and maintain ML infrastructure.
- Partner with stakeholders to translate business needs into data-driven solutions.
- Provide technical guidance and mentorship to junior team members.
- Communicate technical findings and recommendations clearly to both technical and non-technical audiences.
Qualifications and requirements
- Strong knowledge of Machine Learning algorithms and modeling techniques.
- Solid programming skills (Python or similar language).
- Experience working with cloud platforms such as Azure, AWS or GCP.
- Exposure to MLOps practices and model deployment processes.
- Experience working with data pipelines and ML lifecycle management.
- Strong analytical and problem-solving skills.
- Excellent communication skills and ability to work collaboratively in cross-functional teams.
- Positive, proactive, and curious mindset.
Additional information
Our Perks and Benefits:
📚 Learning Opportunities:
- Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
- Access to AI learning paths to stay up to date with the latest technologies.
- Study plans, courses, and additional certifications tailored to your role.
- Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
- English lessons to support your professional communication.
🛫 Travel opportunities to attend industry conferences and meet clients.
👩🏫 Mentoring and Development:
- Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support:
- Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
- Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
Requirements & qualifications
- Strong knowledge of Machine Learning algorithms and modeling techniques.
- Solid programming skills (Python or similar language).
- Experience working with cloud platforms such as Azure, AWS or GCP.
- Exposure to MLOps practices and model deployment processes.
- Experience working with data pipelines and ML lifecycle management.
- Strong analytical and problem-solving skills.
- Excellent communication skills and ability to work collaboratively in cross-functional teams.
- Positive, proactive, and curious mindset.
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Discovered from the employer’s public SmartRecruiters Posting API. The public detail endpoint was fetched and its job-ad sections were normalized into a complete, safe candidate-facing description.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Blend360 Careers ↗Browse current Job and Scholarship listings from Blend360 Careers →
