Generative AI Engineer

1 month ago


Hyderabad, India Tata Consultancy Services Full time

Role- Generative AI Engineer (GEN AI)

Experience- 4 to 8yrs

Location- Pune Hyderabad

Job Description:


  • At least 2+ years working as Data Scientist
  • Traditional AI/ML or Generative AI or both as Composite AI required.
  • Data mining or extracting usable data from valuable data sources, data pipeline.
  • Model customization, LLM fine tuning, neural networks, model weights adjustment.
  • Using machine learning tools to select features, create and optimize classifiers.
  • Carrying out preprocessing of structured and unstructured data
  • Enhancing data collection procedures to include all relevant information for developing analytic systems.
  • Processing, cleansing, and validating the integrity of data to be used for analysis.
  • Analyzing large amounts of information to find patterns and solutions.
  • Developing prediction systems and machine learning algorithms
  • Propose solutions and strategies to tackle business challenges.
  • Collaborate with Business and IT teams.
  • Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable.
  • Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
  • Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
  • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
  • Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
  • Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data.
  • Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
  • Strong Software Engineering Background
  • Hands-on experience with data science tools
  • Problem-solving aptitude, Analytical mindset, and great business sense
  • Preferred if having experience or knowledge of 1 or more Cloud environment (AWS, Azure, Google, or any) with any cloud certification.


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