The AI Engineer will develop software features, maintain data processing pipelines, build GenAI applications, and perform data analysis for AI solutions while collaborating with cross-functional teams.
The purpose of this role is to develop required software features, achieving timely delivery in compliance with the performance and quality standards of the company.
Job Description:
We are seeking an AI Engineer to join our team and contribute to various data science initiatives, from traditional analytics to cutting-edge AI applications. This role offers an excellent opportunity to work across different domains while developing expertise in ML and AI.
Core responsibilities:
- 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
Required Qualifications
- 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.
Technical skills
- Knowledge of LLMs and Generative AI platforms
- Popular LLM APIs
- Frameworks Semantic Kernel, LangChain, OpenAI, Google Vertex AI
- Programming languages: Python, SQL, R
- HuggingFace, Transformers, Matplotlib, Seaborn libraries
- ML/Statistics: scikit-learn, statsmodels, PyTorch
- Data Processing, Pandas, NumPy, PySpark
- Cloud Platforms: AWS, GCP, or Azure
Location:
BengaluruBrand:
MerkleTime Type:
Full timeContract Type:
PermanentTop Skills
AWS
Azure
GCP
Google Vertex Ai
Huggingface
Langchain
Matplotlib
Numpy
Openai
Pandas
Pyspark
Python
PyTorch
R
Scikit-Learn
Seaborn
Semantic Kernel
SQL
Statsmodels
Transformers
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