Data Scientist
4 weeks ago
Role & responsibilities
Role & responsibilities
Key Responsibilities
• Develop and deploy predictive maintenance models to optimize asset performance and reduce downtime across industrial operations.
• Design and implement generative AI solutions tailored to industry-specific challenges, including energy, utilities, and manufacturing.
• Collaborate with cross-functional teams to integrate AI-driven insights into SDILs cloud platforms, ensuring scalability and security.
• Lead the development of machine learning algorithms and statistical models to solve complex business problems.
• Utilize advanced data visualization tools to communicate actionable insights to stakeholders.
• Drive innovation by exploring and implementing emerging AI technologies relevant to SDILs strategic initiatives.
• Ensure the robustness and accuracy of data pipelines and workflows, leveraging cloudbased architectures.
• Mentor junior data scientists and contribute to building a high-performing analytics team.
• Partner with Brahmaand.AI and Coredge.IO teams to align AI and cloud strategies with SDILs operational goals.
• Monitor and evaluate the performance of deployed models, iterating to improve accuracy and business impact.
Preferred candidate profile
Required Qualifications & Experience
• Proven expertise in predictive maintenance, generative AI, and cloud-based solutions, with 7–10 years of relevant experience.
• Strong proficiency in programming languages such as Python, R, and SQL, along with experience in cloud platforms like AWS, Azure, or Google Cloud.
• Demonstrated success in deploying AI models in industrial contexts, particularly within energy, utilities, or manufacturing sectors.
Perks and benefits
Preferred candidate profile
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