(H690) ? 15h Left: Lead Data Scientist

Ready to embark on a journey where your growth is intertwined with our commitment to making a positive impact? Join the Delphi family - where Growth Meets Values.

At Delphi Consulting Pvt. Ltd., we foster a thriving environment with a hybrid work model that lets you prioritize what matters most. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. We specialize in Data, Advanced Analytics, AI, Infrastructure, Cloud Security, and Application Modernization, delivering impactful solutions that drive smarter, efficient futures for our clients.

About the Role: As the Lead Data Scientist at Delphi, you'll drive innovative, AI/ML solutions using Azure ML and Databricks ML that shape business strategies. You?ll lead the full machine learning lifecycle, from design to deployment and work closely with teams to turn complex data into actionable insights. This role offers the chance to make a real impact on our Data & AI initiatives while fostering a collaborative and dynamic environment. If you're passionate about AI, data science, and mentoring future talent, this is the perfect opportunity to grow your career and lead transformative projects

What You?ll Do:

• Lead AI/ML Solution Design: Spearhead the design and implementation of advanced AI/ML solutions using Azure ML and Databricks ML platforms.
• End-to-End ML Lifecycle Management: Oversee the entire machine learning lifecycle, including MLOps, deployment, and operationalization of solutions.
• Team Mentorship: Guide and mentor teams in the adoption of best practices for developing and deploying machine learning models.
• Production-Ready Solutions: Ensure the delivery of robust, scalable, and production-ready ML models that align with client needs and business goals.
• Cross-Functional Coordination: Work with engineering, data, and business teams to integrate AI/ML solutions into the enterprise's technology stack.
• Solution Optimization: Monitor, evaluate, and optimize deployed AI/ML models for improved performance and impact.
• Client Collaboration: Partner with enterprise clients to understand their business challenges and convert them into actionable AI/ML use cases.

What You?ll Bring:

• Proven Expertise: At least 3 production-level machine learning projects utilizing Azure ML and Databricks ML platforms.
• MLOps Expertise: In-depth knowledge of MLOps frameworks and practices for building, deploying, and maintaining machine learning models.
• Technical Depth: Hands-on experience with machine learning algorithms, data pipelines, and model evaluation techniques.
• Cloud Platforms Proficiency: Deep experience with Azure AI and Databricks in deploying scalable machine learning models in cloud environments.
• Client Management: Proven ability to manage client expectations and deliver impactful AI/ML solutions that meet enterprise needs.
• Leadership Skills: Strong leadership abilities with experience in mentoring teams and driving the successful implementation of AI/ML solutions.
• Cross-functional Collaboration: Proven ability to work effectively with cross-functional teams, including data scientists, engineers, and business leaders, to deliver end-to-end AI/ML solutions.
• Communication: Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• A sense of humor

What We Offer:

At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs, and skill-building opportunities to help you succeed.

We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.

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