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Analyze business problems for automated systems, configure system settings, design details of automated systems, and consult with users. Responsibilities include data extraction and maintenance from SAP, launching products online, and supporting data integrations.
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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:
PermanentWhat you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
