Lead data scientist

7 days ago


Delhi, India Delphi Consulting Middle East Full time
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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