Data Science Engineer Job Openings in Pune 2025 (Hybrid Work Mode)!!!
Eaton Corporation has officially announced job vacancies for the post of Associate Engineer – Data Science. The posting will be at Pune (Hybrid work option), offering an exciting career path for fresh graduates, engineering postgraduates, and professionals with prior experience. This is a great opportunity for candidates looking for high salary machine learning fresher jobs in India and those interested in data science engineer jobs in Pune 2025 with placement prospects. More details about qualifications, job description, and responsibilities are as follows:
Company Details
| Name of the Company | EATON |
| Required Qualifications | Graduate |
| Skills | Python, R, Matlab, C/C++, Java, PySpark, SparkR |
| Category | Research & Development Engineering |
| Work Type | Hybrid |
Eaton Corporation’s Center for Intelligent Power is looking for passionate AI and data science engineersto develop ML/AI algorithms that solve global power management problems. The role involves design, development, and deployment of AI solutions integrated with cloud and edge platforms.
Job Highlights
Θ Positions: Associate Engineer – Data Science
Θ Job Location: Pune (Hybrid)
Θ Salary: As Per Company Norms
Θ Job Type: Full Time
Θ Requisition ID: 51036
Roles and Responsibilities
- Deliver high-impact projects covering architecture, technical deliverables, and lifecycle management.
- Apply Agile methodologies in data-driven project execution.
- Work on ML/AI model development, data analysis, and algorithm optimization for diverse platforms.
- Collaborate with experts in machine learning, distributed systems, and program management to create end-to-end data pipelines.
- Develop technical solutions and implement architectures with data engineering and AI teams.
- Contribute to the design and development of new intelligent power technology products.
Required Skills & Qualifications
- Education: Bachelor’s degree in Data Science, Electrical/Computer/Electronics Engineering.
- Experience: 0–1+ years of practical data science experience.
Core Expertise:
- ML/DL models (time series, anomaly detection, diagnostics, data mining, pattern recognition).
- Strong statistical background (Bayesian networks, hypothesis testing, predictive modeling).
- Programming knowledge: Python, R, Matlab, C/C++, Java, PySpark, SparkR.
- Tools: Azure ML Pipeline, Databricks, MLFlow.
Desired Knowledge:
- Computer Vision, NLP, Recommendation AI systems.
- Familiarity with open-source tools: OpenCV, TensorFlow, PyTorch, ONNX, Scikit, Pandas, Spark ML.
- Advanced degree/specialization in ML or Data Science.
Soft Skills:
- Strong communication & presentation skills.
- Ability to collaborate with global teams.
- Curiosity, self-learning mindset, adaptability, and team spirit.
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