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Artificial Intelligence Engineer

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Onsite

Artificial Intelligence Engineer

Adecco India

Artificial Intelligence Engineer

Skills

Google Cloud PlatformSQL QueriesDeep LearningData MiningFlaskPythonData ScienceNumPypandasPyTorchTensorFlowPostgreSQLGitData AnalysisMachine LearningAIAWSGitHubFastAPIAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹500,000 – ₹1,500,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

10 September 2026

What they need


Fresher AI Engineer (0 to 1 Year)

Location: Chennai / Bengaluru

AI Engineer (3+ Years US Health care )

Location: Bengaluru / Hyderabad

AI Engineer (5+ Years US Health care)

Location: Bengaluru / Hyderabad

Mandatory Skills & Requirements

We are looking for passionate AI Engineers with strong expertise in Machine Learning, Generative AI, and Python development. Candidates should possess the following mandatory skills:

Core Technical Skills

  • Strong proficiency in Python Programming
  • Experience with Pandas and NumPy for data manipulation and analysis
  • Good understanding of Data Structures and Algorithms
  • Knowledge of Object-Oriented Programming (OOP) and clean coding practices
  • Experience using Git / GitHub for version control

Machine Learning Skills

  • Understanding of Supervised and Unsupervised Learning
  • Experience with Data Cleaning, Data Preprocessing, and Feature Engineering
  • Knowledge of Exploratory Data Analysis (EDA)
  • Hands-on experience with Scikit-learn
  • Familiarity with Model Evaluation Metrics such as Accuracy, Precision, Recall, F1-Score, ROC-AUC, and RMSE
  • Exposure to TensorFlow and/or PyTorch

Database Skills

  • Good understanding of SQL
  • Ability to write Queries, Joins, and perform Data Retrieval using databases such as SQL Server or PostgreSQL

Generative AI Skills

  • Experience with LLM APIs such as OpenAI, Anthropic, or similar platforms
  • Understanding of Prompt Engineering
  • Knowledge of RAG (Retrieval-Augmented Generation)
  • Familiarity with Embeddings and Vector Databases

Additional Skills (Preferred for Experienced Candidates)

  • FastAPI / Flask
  • Deep Learning Architectures (CNN, RNN, Transformers)
  • MLOps Concepts
  • Cloud Platforms (AWS, Azure, GCP)
  • Model Deployment and Monitoring
  • LLM Fine-Tuning and Agentic AI Applications

Educational Qualification

  • B.E / B.Tech / M.E / M.Tech in Computer Science, Information Science, Artificial Intelligence.
  • MCA, MSc (Computer Science, Data Science, AI/ML) candidates may also apply.

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