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 TensorFlow 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 TensorFlow Developer AWS Certified Machine Learning).

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

Additional Information :

Required Skills and Qualifications:
Educational Background:
Bachelors 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. TensorFlow PyTorch Scikit-learn).
Strong 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:
Solid 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.
Robust communication and teamwork capabilities.
Ability to translate business requirements into technical solutions.

Work from home :

No

Employment Type :

Full time

📌 Inrbaiaimlexpert Bengaluru
🏢 Bosch Group
📍 Bengaluru