AdTechTalent
Data Science4 days agoOn-site

Merkle

AI Consultant

pythonsqlrgenerative AILLMsemantic kernellangchainopenaigoogle vertex aihuggingfacetransformersmatplotlibseabornscikit-learnstatsmodelspytorchpandasnumpypysparkawsgcpazuregitdeep learningdata sciencemachine learning

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Mid-level

Years experience

3-5

Location

Bengaluru, India

Full job description

Develop and maintain data processing pipelines using Python. Build and deploy Generative AI applications using APIs and frameworks such as Semantic Kernel and LangChain. Perform data analysis and create visualizations. Collaborate with teams to implement AI solutions. Assist in language model evaluations and AI applications development. Write clean, documented, tested code. Monitor and improve application performance. Required skills: knowledge of LLMs, Generative AI platforms, Python, SQL, R, HuggingFace, Transformers, Matplotlib, Seaborn, scikit-learn, statsmodels, PyTorch, Pandas, NumPy, PySpark, AWS/GCP/Azure cloud platforms, Git version control. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics or related field, 2+ years experience in applied data science and machine learning, strong programming and analytical skills.

What you'll do

  • Develop and maintain data processing pipelines using Python
  • Build and deploy GenAI applications using APIs and popular frameworks like Semantic Kernel, LangChain
  • Perform data analysis and create insightful visualizations
  • Collaborate with cross-functional teams to understand business requirements and implement AI solutions
  • Assist in the development and maintenance of language model evaluations and other AI applications
  • Write clean, documented, and tested code following best practices
  • Monitor application performance and implement improvements as needed

Requirements

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field
  • 2+ years of hands on experience in applied data science and machine learning
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Strong programming skills in Python
  • Familiarity with LLMs and their applications
  • Version control experience with Git
  • Strong analytical and problem-solving skills
  • Experience with PyTorch and Deep Learning fundamentals

Tech stack

PythonSQLRSemantic KernelLangChainOpenAIGoogle Vertex AIHuggingFaceTransformersMatplotlibSeabornscikit-learnstatsmodelsPyTorchPandasNumPyPySparkAWSGCPAzureGit

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