AI Data Scientist (Industrial AI)
- SymphonyAI
- 5 - 9 years
- Bengaluru
- 18 hours ago
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Job Description
Job Title: AI Data Scientist (Industrial AI)
Department: SymphonyAI Industrial
As AI Data Scientist, you will be responsible for designing, building, and deploying AI/ML solutions for industrial use cases. You will work closely with product, engineering, and client stakeholders to translate complex business problems into scalable data science solutions that deliver measurable impact.
This role requires a balance of strong technical expertise, practical problem-solving, and the ability to operate in real-world production environmentsnot just experimentation.
Responsibilities:
- End-to-End Model Development: Build, validate, and deploy machine learning models for industrial applications such as predictive maintenance, anomaly detection, forecasting, and optimization.
- Problem Framing & Data Analysis: Work with stakeholders to understand business problems, define success metrics, and perform deep data analysis to identify solution approaches.
- Production Deployment: Collaborate with engineering teams to productionize models, ensuring scalability, reliability, and performance.
- Client Interaction: Engage with client stakeholders to explain approaches, interpret results, and ensure alignment on business outcomes.
- Model Monitoring & Improvement: Track model performance post-deployment and continuously improve accuracy, robustness, and business impact.
- Cross-functional Collaboration: Partner with product managers, domain experts, and engineers to deliver integrated AI solutions.
- Mentorship: Support and guide junior team members; contribute to best practices and knowledge sharing.
Required Skills & Qualifications:
- 58 years of experience in Data Science, Machine Learning, or Applied AI roles.
- Strong hands-on experience in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Proven experience deploying ML models into production environments.
- Solid understanding of statistics, machine learning algorithms, and data processing techniques.
- Experience working with large, real-world datasets (structured and/or time-series).
- Ability to translate business problems into analytical solutions.
- Strong communication skills with experience working with non-technical stakeholders.
Preferred Qualifications:
- Experience in industrial/manufacturing, energy, or supply chain domains.
- Familiarity with predictive maintenance, asset performance, or IoT data.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Exposure to MLOps tools and practices (CI/CD, model monitoring, pipelines).
- Background in SaaS or consulting environments with client-facing exposure.
Diversity & Inclusion Statement:
We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply
Job Classification
Industry: MiscellaneousFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: SymphonyAILocation(s): Bengaluru
Keyskills: GenAI Artificial Intelligence Natural Language Processing Machine Learning Deep Learning Python
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About SymphonyAI: SymphonyAI is at the forefront of innovation, leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth. As a global leader in AI-powered solutions, we empower organizations to harness the full potential of...
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