Data Science and AI Professional

2 weeks ago


Kerala, India Litmus7 Full time
About the Role

We are seeking a highly skilled Data Science and AI Professional to join our team at Litmus7. This is a full-time position that will involve designing, developing, and optimizing machine learning models for applications across different domains.

The ideal candidate will have a strong background in machine learning engineering and AI development, with expertise in natural language processing, generative AI, and MLOps practices. They will be responsible for building natural language processing pipelines, developing and deploying cutting-edge generative AI models, and integrating machine learning capabilities into existing products or building new AI-powered applications.

The salary for this position is estimated to be around $120,000 - $160,000 per year, depending on experience.

Key Skills
  • Minimum 3+ years of experience in machine learning engineering and AI development
  • Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc.
  • Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc.
  • Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc.
  • Hands-on experience developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.)
  • Experience in MLOps and ML model deployment pipelines.
  • Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc.
  • Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment
  • Experience with data processing, feature engineering, and model training on large datasets.
  • Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation
  • Understanding of software engineering best practices and applying them to ML systems.
  • Experience with an agile development environment.


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