IN_RBAI_AI_ML_Expert_IN_2026

Bosch Global Software (BGSW)•Bengaluru, KA, India•On-site
Apply Direct →

About the Role

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.min. 1 (BE) to 6 years relevant job experience B.E in AI or CS or E&C or EEE or MechatronicsCertifications 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 learningRequired 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., 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: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.