Blend360
Tech / AI / Software
DataScienceLead
Neural analysis suggests this role is
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“Data Science Lead at Blend360. Skills: Machine Learning, Data Science, AI. Design, develop, and deploy Machine Learning models to solve business problems. Write production-level code to support scalable ML solutions”
What You'll Achieve.
build and scale advanced Machine Learning solutions; unlocking value and fostering innovation for its clients
Industry & Context.
analytical and problem-solving skills
Travel opportunities to attend industry conferences and meet clients
What They're Looking For.
Must Have
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, analytical and problem-solving skills, Excellent communication skills and ability to work collaboratively in cross-functional teams, Positive, proactive, and curious mindset
Nice to Have
Certifications in AWS, Databricks certifications, Snowflake certifications
What You'll Do.
and deploy Machine Learning models to solve business problems
Write production-level code to support scalable ML solutions
Contribute to the implementation of MLOps best practices for model monitoring
Work with cloud platforms (AWS
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
How You'll Work.
Team & Collaboration
Collaborate with data engineers and software engineers to integrate ML models into production environments; Partner with stakeholders; Provide technical guidance and mentorship to junior team members; Communicate technical findings and recommendations clearly to both technical and non-technical audiences; ability to work collaboratively in cross-functional teams
Communication Scope
Communicate technical findings and recommendations clearly to both technical and non-technical audiences; Excellent communication skills
Full Job 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](http://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. * 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 w
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