Applied AI Scientist: GenAI, NLP & Production ML

Applied AI Scientist: GenAI, NLP & Production ML

Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and deploy AI solutions to tackle real-world business challenges.
  • Company: Minfy Technologies, a leader in AI innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on collaboration and innovation.
  • Why this job: Join a cutting-edge team and shape the future of AI technology.
  • Qualifications: 3-5 years in ML, data science, and applied GenAI; Python and SQL skills required.

The predicted salary is between 121500 - 148500 $ per year.

Minfy Technologies is seeking an AI Engineer / Data Scientist with 3–5 years of hands-on experience across ML, data science and applied Gen AI.

You will design, build and deploy AI solutions that solve real business problems.

You will work across traditional ML models, NLP, Gen AI, embeddings, vector search, RAG pipelines and LLM-based applications.

You should be comfortable working with Python, SQL, machine learning libraries, cloud platforms and modern Gen AI tools.

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Applied AI Scientist: GenAI, NLP & Production ML employer: Minfy Technologies

Minfy Technologies is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about AI and data science. Located in a vibrant tech hub, employees benefit from continuous learning opportunities, mentorship programs, and the chance to work on cutting-edge projects that make a real impact. With a strong emphasis on employee well-being and professional growth, Minfy Technologies stands out as a rewarding place to advance your career in applied AI.

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Contact Details:

Minfy Technologies Recruitment Team

We think you need these skills to ace Applied AI Scientist: GenAI, NLP & Production ML

Machine Learning
Natural Language Processing (NLP)
Generative AI (GenAI)
Python
SQL
Data Science
Embeddings