Data Science Lead at Blend360

Guadalajara, jalisco, Mexico -

Full Time

Start Date

Immediate

Expiry Date

30 Jul, 26

Salary

0.0

Posted On

01 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine learning, Python, MLOps, AWS, GCP, Azure, Data pipelines, Model deployment, Model monitoring, Technical leadership, Cloud platforms, Problem-solving, Communication, Mentorship, Software engineering, Data engineering

Industry

Professional Services

Description

Company Description 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. 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 (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.

Responsibilities

Design, develop, and deploy machine learning models to solve business problems while writing production-level code. Collaborate with cross-functional teams to integrate models into production and provide technical mentorship to junior team members.