Generative AI Engineer
1 month ago
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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