AI/ML Development Specialist

3 days ago


Bengaluru, Karnataka, India beBeeData Full time ₹ 5,00,000 - ₹ 8,00,000

Job Title:

AI/ML Development Specialist

Job Description:

We are seeking a talented AI/ML Development Specialist to join our team. The ideal candidate will have a strong background in developing, training, and deploying machine learning models to solve real-world problems.

The successful candidate will design and implement scalable AI/ML pipelines, from data preprocessing to model deployment. They will collaborate with data engineers and backend teams to integrate models into production systems.

Key responsibilities include optimizing algorithms and models for performance, accuracy, and efficiency. Conducting exploratory data analysis to uncover insights and inform model development is also a crucial part of this role.

Staying abreast of the latest AI/ML advancements and applying them to enhance project outcomes is essential. Troubleshooting and refining models with minimal guidance, ensuring robustness and reliability, is also a key responsibility.

Required Skills and Qualifications:

  • 3-5 years of experience in AI/ML development, with a focus on practical applications.
  • Strong proficiency in Python and libraries such as TensorFlow, PyTorch, scikit-learn, or Keras.
  • Experience with data manipulation tools (e.g., Pandas, NumPy) and working with large datasets.
  • Knowledge of supervised and unsupervised learning techniques, NLP, or computer vision (depending on project needs).
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for model training and deployment.
  • Ability to work independently, prioritize tasks, and deliver high-quality results with minimal oversight.
  • Solid understanding of software engineering principles and version control (e.g., Git).
  • Excellent analytical skills and a strong foundation in statistics and mathematics.

Preferred Qualifications:

  • Experience with MLOps tools (e.g., MLflow, Kubeflow) or containerization (e.g., Docker).
  • Familiarity with big data frameworks like Spark or Hadoop.
  • Prior work in deploying AI models in production environments or real-time systems.
  • Exposure to Agile methodologies or cross-functional team settings.

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