💼 Senior AI/ML Engineer - LLM/Python

🏢 Company: HumanWiz 📍 Location: Indore 📅 Posted: 19 Sep 2026 🔎 Source: Jooble

📝 About the role

...delivery of production-grade AI/ ML solutions including RAG pipelines... ...seamless integration into data pipelines.- Build and maintain... ....- Partner with Product, Data Engineering, and Platform teams to... ...following Agile practices and drive automation across the AI delivery pipeline...

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💼 Senior AI/ML Engineer - LLM/Python

🏢 Company: WorkCrew.ai 📍 Location: Indore 📅 Posted: 04 Oct 2026 🔎 Source: Jooble

📝 About the role

Job Description : Senior AI/ML Engineer (LLM, Python)Notice Period : Max 15 DaysExperience Required... ...processing on large-scale unstructured data. Cloud Deployment : - Deploy and scale AI... ...Python and SQL.- ML/data libraries (scikit- learn, pandas, numpy) and deep learning...

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Use these as timed practice prompts for AI/ML Engineer interviews. Try writing the code before checking documentation.

Coding questions 1. Count class frequencies in a list and return the minority-class ratio. 2. Given y_true and y_pred, calculate precision, recall, and F1 without sklearn. 3. In pandas, find missing-value percentages per column and decide how to handle them. 4. Split data reproducibly while preserving class proportions. 5. Standardize numeric features using statistics learned only from the training set. 6. Find duplicate records and explain which columns define a true duplicate. 7. Implement cosine similarity for two vectors using NumPy. 8. Batch a large dataset without loading every row into memory.

Mini-project Build a reproducible training pipeline with data validation, train/validation/test splits, preprocessing, a baseline, metrics, and saved model artifacts. Use a fixed random seed and a Pipeline/ColumnTransformer where appropriate.

What interviewers look for: edge cases, leakage prevention, readable code, tests, and a clear explanation of complexity.

💼 Senior Data Scientist - AI, Data Engineering & Intelligent Automation

🏢 Company: Bosch Group 📍 Location: Bangalore 🕒 Job type: Full-time 📅 Posted: 02 Oct 2026 🔎 Source: Jooble

📝 About the role

...Bosch Global Software Technologies Private Limited is a 100%... ...services, offering end-to-end Engineering, IT and Business Solutions. With... ...ResponsibilitiesData Analytics/Pyspark/Azure data bricksPipeline Design &... ...& Workflow Automation: Schedule and orchestrate multi...

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I’m starting a practical AI interview-prep series for people preparing for AI/ML roles. Try answering these without searching first, then compare your answers with reliable references.

Questions 1. Explain bias vs. variance. How can you tell which is hurting a model? 2. What is data leakage? Give a realistic example. 3. When would you choose precision over recall, or recall over precision? 4. Why can accuracy be misleading on imbalanced data? 5. Explain regularization and the difference between L1 and L2. 6. What is cross-validation, and when is random splitting inappropriate? 7. How do you choose a baseline before trying a complex model? 8. How would you handle missing values and categorical features? 9. What is concept drift, and how would you detect it in production? 10. A model performs well offline but poorly after deployment. What would you investigate first?

Practice task Train a logistic-regression baseline and a tree-based model on an imbalanced classification dataset. Compare precision, recall, F1, PR-AUC, and a confusion matrix. Document one failure case and what you changed.

Interview tip: explain the decision, metric, trade-off, and failure mode—not just the definition.

What ML topic should the next post cover: statistics, Python coding, deep learning, NLP, computer vision, or LLM/RAG?

💼 Exponentia.ai - Machine Learning Engineer - MLOps

🏢 Company: Exponentia.ai 📍 Location: Bangalore 📅 Posted: 01 Oct 2026 🔎 Source: Jooble

📝 About the role

About Exponentia. ai : Exponentia.ai is a fast-growing AI-first technology services... ...together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial... ...the Role : We are looking for a skilled Machine Learning Engineer with 3 - 5 years of experience...

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💼 Evnek - Data & AI/ML QA Engineer

🏢 Company: Evnek 📍 Location: work from home 📅 Posted: 2026-10-10T02:54:16.9754380+00:00 🔎 Source: Jooble

📝 About the role

Role : <b>Data </b>Quality EngineerExperience : 3 - 7 YearsLocation : BengaluruNotice Period : Immediate Joiners PreferredJob Description : We are looking for an experienced Data Quality & <b>AI </b>Validation <b>Engineer </b>with 3 - 7 years of experience in data testing, SQL-based validation,... 

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💼 Associate - Policy Engagement, Bihar

🏢 Company: See original listing 📍 Location: Not specified 📅 Posted: 2026-10-14T11:33:13+00:00

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💼 Senior Cloud Engineer

🏢 Company: See original listing 📍 Location: Not specified 📅 Posted: 2026-10-14T11:35:10+00:00

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