Senior Engineer Artificial Intelligence

3 years

2 - 6 Lacs

Posted:3 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

We are seeking a highly skilled AI Engineer with a strong foundation in machine learning, deep learning, cloud platforms, and computer vision to join our innovative tech team. You’ll design and implement scalable AI/ML pipelines, automate workflows, train and optimize models, and deploy solutions on cloud infrastructure. This is an opportunity to shape the future of intelligent systems across industries.

Key Responsibilities:

  • Design, develop, and deploy ML/DL models for various applications, including computer vision and predictive analytics.
  • Build data pipelines and model training workflows on cloud platforms such as AWS, Azure, or GCP.
  • Automate model retraining, evaluation, and deployment processes using MLOps best practices.
  • Collaborate with cross-functional teams (data engineers, product managers, developers) to define project requirements and deliver AI-powered features.
  • Develop and fine-tune custom algorithms tailored to specific domain problems.
  • Integrate AI solutions into existing systems using APIs, containers, and cloud-native tools.
  • Conduct data preprocessing, exploratory data analysis, and feature engineering.
  • Research and evaluate the latest AI trends, tools, and frameworks to recommend enhancements.
  • Write clear, maintainable, and efficient code with documentation for reproducibility and scaling.

Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related fields.
  • 3+ years of hands-on experience in building and deploying machine learning/deep learning models.
  • Strong programming skills in Python and frameworks like TensorFlow, PyTorch, OpenCV, Scikit-learn.
  • Experience with computer vision libraries (OpenCV, YOLO, Detectron2, etc.).
  • Proficiency in cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML Studio).
  • Experience with Docker, Kubernetes, or other orchestration tools.
  • Familiarity with MLOps tools like MLflow, DVC, Kubeflow, or Airflow.
  • Solid understanding of algorithms, data structures, and model optimization techniques.
  • Exposure to RESTful APIs and real-time inference systems.
  • Strong analytical, problem-solving, and communication skills.

Nice to Have:

  • Experience with NLP models and transformers (e.g., Hugging Face).
  • Experience deploying models at scale in production environments.
  • Knowledge of CI/CD pipelines for AI applications.
  • Publications or contributions to open-source AI projects.

Why Join Us?

Job Type: Permanent

Pay: ₹20,000.00 - ₹50,000.00 per month

Work Location: In person

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