Job Description

Key Responsibilities:

- Data Analysis and Preprocessing:
- Gather, clean, and preprocess structured and unstructured data for analysis.
- Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights.

- Model Development:

- Develop, train, and validate machine learning models to address business challenges.
- Implement deep learning algorithms where applicable for advanced analytics.

- Data Visualization:

- Create interactive dashboards and reports to visualize insights using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn, Plotly).
- Communicate results and recommendations effectively to stakeholders.

- System Integration and Deployment:

- Integrate ML models into production environments and ensure their scalability and performance.
- Use tools like Tensor Flow Serving, Flask, FastAPI, or Docker for model deployment.

- Collaboration:

- Work closely with cross-functional teams, including data engineers, business analysts, and product Planning Team, to understand project requirements.

- Continuous Learning and Improvement:

- Stay updated with the latest trends, technologies, and methodologies in data science, machine learning, and AI.
- Optimize existing models and systems for improved performance and accuracy.

Qualifications

min. 1 (BE)



to 6 years relevant job experience B.E in AI or CS or E&C; or EEE or Mechatronics

Certifications in AI/ML or data analytics (e.g., Google Data Analytics, Tensor Flow Developer, AWS Certified Machine Learning).

Experience with natural language processing (NLP), computer vision, or reinforcement learning

Additional Information

Required Skills and Qualifications:

- Educational Background:
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.

- Technical Skills:

- Proficiency in Python, R, or Julia.
- Experience with machine learning libraries and frameworks (e.g., Tensor Flow, PyTorch, Scikit-learn).
- Robust knowledge of SQL and NoSQL databases.
- Familiarity with big data tools like Spark, Hadoop, or Databricks is a plus.
- Knowledge of cloud platforms like AWS, Azure, or Google Cloud for data and model deployment.

- Analytical Skills:

- Strong understanding of statistics, probability, and data structures.
- Ability to handle large datasets and apply algorithms efficiently.

- Soft Skills:

- Excellent problem-solving and critical-thinking skills.
- Strong communication and teamwork capabilities.
- Ability to translate business requirements into technical solutions.

📌 IN_RBAI_AI_ML_Expert_IN_2026 (India)
🏢 Bosch Group
📍 India