Tekion

Technology

LeadAppliedScientist

₹35–60L ~AI est. Bangalore, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Applied Scientist at Tekion. Skills: Applied AI, Machine Learning, Deep Learning, Causal Inference. Architect strategic vision for applied AI. Execute strategic vision for applied AI”

What You'll Achieve.

Translate research into business value; Deliver transformative solutions

Industry & Context.

Technology
Problems you'll solve

First-principles thinking; Complex problems; Unstructured problems; Data-driven approach

What They're Looking For.

Must Have

7 - 9 years of post-academic experience, Advanced degree (Ph.D. or M.S.) in quantitative discipline, Programming, data manipulation, and model building experience, Sophisticated data visualization and presentation skills

Nice to Have

Domain expertise in automotive industry, Experience in Recommendation Engines, Experience in advanced NLP

What You'll Do.

Architect strategic vision for applied AI

Execute strategic vision for applied AI

Identify emergent technological opportunities

Capitalize on emergent technological opportunities

Ideate novel solutions

Implement novel solutions

Serve as principal technical liaison

Ensure technical strategies align with business imperatives

Lead collaborations with product

Lead collaborations with engineering

Lead collaborations with business units

Define machine learning systems

Develop machine learning systems

Integrate machine learning systems

Contribute to scientific community

Enhance Tekion's position as innovation center

Mentor applied scientists

Cultivate scientific rigor

Guide project execution

Foster professional growth

Establish frameworks for model evaluation

Establish frameworks for performance measurement

Quantify business impact of ML initiatives

Articulate business impact of ML initiatives

Institute best practices for ML lifecycle

Govern best practices for ML lifecycle

Champion responsible AI

How You'll Work.

Team & Collaboration

Cross-functional execution; Multi-disciplinary teams

Communication Scope

Technical liaison; Executive presentations

Full Job Description

Tekion seeks an exceptionally talented and seasoned Staff / Lead Applied Scientist to architect the future of our AI-driven solutions. The incumbent will assume a pivotal role in our organization, providing the strategic and technical stewardship necessary to translate cutting-edge research into tangible business value. The ideal candidate is a first-principles thinker, adept at navigating ambiguity, and possesses the intellectual curiosity to formulate and solve complex, unstructured problems. This is seminal opportunity to influence the trajectory of our AI strategy and deliver transformative solutions at an enterprise scale.    Key Responsibilities - Strategic Direction: Architect and execute the strategic vision for applied AI and Machine Learning within Tekion, ensuring rigorous alignment with overarching business objectives and industry challenges. - Innovation & Research Leadership: Steer the R&D roadmap by identifying and capitalizing on emergent technological opportunities. Drive innovation through the ideation and implementation of novel, scientifically-grounded solutions. - Stakeholder Alignment: Serve as the principal technical liaison between the R&D organization and executive stakeholders, ensuring technical strategies are congruent with business imperatives. - Cross-Functional Execution: Lead collaborations with product, engineering, and business units to define, develop, and integrate sophisticated machine learning systems into core products and services. - Scientific Contribution: Contribute to the broader scientific community through publications in premier academic conferences and journals, enhancing Tekion's position as a center of innovation. - Mentorship & Talent Development: Mentor and cultivate a culture of scientific rigor and innovation among applied scientists, guiding project execution and fostering professional growth. - Impact Quantification: Establish robust frameworks for model evaluation and performance measurement. Quantify and arti

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