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AI&ML Engineer

Nichi-In Software Solutions Pvt. Ltd.

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
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Salary:

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Job Description:

Experience to design, develop, and deploy machine learning models and AI-driven solutions. Have a strong background in machine learning algorithms, data science, and software engineering, with expertise in cloud-based AI services.

Job Responsibility:

  • Experience in developing AI-powered applications in real-world scenarios
  • Design, develop, and optimize machine learning models (LLMs) for automation and predictive analytics
  • Implement deep learning models using TensorFlow, PyTorch, or other frameworks
  • Develop and integrate AI-driven solutions into existing software applications
  • Fine-tune and optimize models for performance and scalability
  • Deploy models using cloud platforms such as AWS, GCP, Azure or any other cloud
  • Monitor and improve model accuracy and efficiency through continuous iteration
  • Preprocess, analyze, and visualize large datasets to extract meaningful insights
  • Collaborate with cross-functional teams, including software engineers and data scientists
  • Work with data engineers to ensure efficient data pipelines for AI applications

Requirements:

  • Experience: 3 to 5 Years in AI/ML development and deployment
  • Qualification: B.E in Computer Science or any degree with Artificial Intelligence & Data Science
  • Strong programming skills in Python
  • Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, or Keras
  • Experience with NLP, Computer vision, or reinforcement learning
  • Proficiency in data processing libraries like Pandas and NumPy
  • Hands-on experience with cloud-based AI/ML services (AWS SageMaker, Google Vertex AI, Azure ML, etc.)
  • Understanding of MLOps principles, model deployment, and monitoring
  • Strong problem-solving skills and ability to work in an agile development environment
  • Excellent communication and teamwork abilities

Nice to have:

  • Familiarity with big data technologies like Hadoop, Spark, or Kafka
  • Knowledge of containerization and orchestration tools like Docker and Kubernete

Additional Information:

Job Posted:
February 24, 2026

Employment Type:
Fulltime
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