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AI Developer

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Onsite

AI Developer

Alphawizz Technologies Company

AI Developer

Skills

SQL QueriesBig DataDeep LearningDockerPythonKerasPyTorchTensorFlowKafkaMachine LearningAIKubernetesNLP / Natural Language ProcessingHadoop

1 year ago

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Important information


Contract type:

Permanent

Location:

Indore, Madhya Pradesh, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job highlights

  • Freshers may also apply
  • Bachelor of Science,Bachelor of Engineering / Bachelor of Technology,BCA,Diploma,ME / MTech,MS,MCA
  • Minimum 6 months of experience required
  • Experience with machine learning algorithms,neural networks,and deep learning architectures

Minimum 6 months of experience required. Freshers may also apply.

Qualification

Bachelor of Science, Bachelor of Engineering/Bachelor of Technology, B.C.A, Diploma, M.E./M.Tech, M.S., M.C.A

Roles Responsibilities:

  • Develop, test, and deploy AI models and algorithms for real-world applications.
  • Implement machine learning (ML), deep learning (DL), and natural language processing (NLP) solutions.
  • Preprocess and analyze large datasets for training AI models.
  • Optimize AI models for accuracy, performance, and efficiency.
  • Integrate AI capabilities into web, mobile, and cloud applications.
  • Research and stay updated with the latest AI trends, frameworks, and best practices.
  • Work with computer vision, speech recognition, and recommendation systems.
  • Collaborate with data scientists, software engineers, and business teams.

Skill Required:

  • Strong knowledge of Python, TensorFlow, PyTorch, Scikit-learn, and Keras.
  • Experience with machine learning algorithms, neural networks, and deep learning architectures.
  • Proficiency in NLP libraries (Transformers, NLTK, SpaCy, Hugging Face).
  • Understanding of AI model deployment using Docker, Kubernetes, and cloud services.
  • Hands-on experience with data preprocessing, feature engineering, and model training.
  • Knowledge of Big Data technologies (Hadoop, Spark, Kafka) and databases (SQL, NoSQL).

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