Blendis is a premier AI services provider dedicated to co‑creating meaningful impact through data science, AI, technology, and people. We fuel bold visions by aligning human expertise with artificial intelligence, unlocking value, and fostering innovation for our clients with a world‑class team and data‑driven strategy. We are seeking a Lead Data Scientist to help build and scale advanced machine learning solutions. The role is ideal for a strong data scientist with solid coding capabilities, hands‑on ML experience, and exposure to MLOps practices, who will design, develop, and deploy ML models while collaborating across teams and contributing to technical leadership. 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 Strong knowledge of machine learning algorithms and modeling techniques. Solid programming skills in Python or a similar language. Experience working with cloud platforms such as Azure, AWS, or GCP. Exposure to MLOps practices and model deployment processes. Experience 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 (as an AWS Partner), Databricks, and Snowflake; access to AI learning paths; study plans, courses, and additional certifications tailored to your role; access to Udemy Business; English lessons. Travel opportunities to attend industry conferences and meet clients. Mentoring and development: career development plans and mentorship programs. Celebrations & support: special day rewards for 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. #J-18808-Ljbffr