AI and ML Specialist

1 week ago

Bhubaneshwar, India beBeeMachineLearning Full time ₹ 20,00,000 - ₹ 25,00,000

Machine Learning Engineer Role: We are seeking an exceptional Artificial Intelligence/Machine Learning professional to drive the development and deployment of AI solutions in cloud environments.

Key Responsibilities:

  • Design, implement, and refine machine learning models using Python and frameworks like TensorFlow or PyTorch.
  • Maintain expertise in deep learning techniques for computer vision and NLP applications.
  • Collaborate with engineering teams to ensure seamless integration and deployment of AI models, promoting cross-functional collaboration and effective communication.
  • Stay up-to-date with the latest advancements in AI and ML, fostering innovation and applying knowledge to real-world problems.

Requirements and Expectations:

  • Minimum 5-8 years of experience in Data Science and Machine Learning, demonstrating a strong portfolio of projects and achievements.
  • A thorough understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models, applied in real-world scenarios.
  • Hands-on experience with cloud platforms like Azure, AWS, or GCP, deploying AI solutions in a cloud environment, ensuring scalability and reliability.
  • Expertise in data engineering, including data curation, cleaning, and preprocessing, leveraging tools and technologies like Apache Beam or Spark.
  • Knowledge of trusted AI practices, focusing on fairness, transparency, and accountability in AI models and systems, aligning with industry standards and best practices.

About This Opportunity:

  • This is a unique chance to join a dynamic team and contribute to the advancement of AI and ML, driving business value and growth.
  • The successful candidate will have opportunities for professional growth, mentorship, and skill development, aligned with their interests and career goals.
  • We offer a collaborative work environment, flexible working arrangements, and competitive compensation packages, recognizing the importance of work-life balance.

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