Innovative AI/ML Solutions Engineer

1 day ago

Chennai, Tamil Nadu, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI/ML Engineer Job Description

Job Overview:

We are seeking an experienced AI/Machine Learning (ML) Engineer to join our team. The successful candidate will be responsible for designing, developing, and deploying AI/ML solutions that drive business value.

This is a challenging and rewarding opportunity for a talented engineer who wants to make a meaningful impact in the field of AI/ML.

Requirements:
  • Minimum 5-8 years of experience in Data Science and Machine Learning.
  • Strong understanding of machine learning, Deep learning in Computer Vision (CV), and generative AI techniques.
  • Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch.
  • Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
  • Expertise in data engineering, including data curation, cleaning, and preprocessing.
  • Knowledge of trusted AI practices, like fairness, transparency, and accountability in AI models and systems.
  • Strong collaboration with engineering teams to ensure seamless integration and deployment of AI models.
  • Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
  • Understanding of data privacy, security, and ethical considerations in AI applications.
Benefits:
  • Competitive salary and benefits package.
  • Ongoing training and professional development opportunities.
  • Collaborative and dynamic work environment.
  • Opportunities for growth and advancement.
Preferred Qualifications:
  • Generative AI techniques, NLP techniques, BERT, GPT, or Transformer models.
  • Azure Open AI GPT models, Hugging Face Transformers, Prompt Engineering.
  • Python, Knowledge on frameworks like TensorFlow or PyTorch, LangChain, R.
  • Deploying AI solutions in Azure, AWS, or GCP.


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