Data Scientist

19 hours ago

Mysuru Karnataka, India Enkefalos Technologies LLP Full time

**Job Title: Data Scientist (3-4 Years’ Experience)**

**Location: Mysuru, India (On-site)**

**Joining: Immediate**

**About Us**

**Enkefalos Technologies LLP**is a pioneering AI company that builds cutting-edge AI solutions, leveraging LLMs, Generative AI, and advanced Machine Learning techniques. We are looking for a talented **AI Engineer** with **3-4 years of experience** in **Python, Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP)** to join our AI team.

If you are passionate about building innovative AI solutions and want to work on cutting-edge technologies like **Generative AI**, **LLMs (Large Language Models)**, and **agentic workflows**, we would love to hear from you

**Key Responsibilities**
- **Develop, fine-tune, and deploy Machine Learning, Deep Learning, and NLP models** for various use cases.
- Collaborate with cross-functional teams to understand business requirements and design AI solutions accordingly.
- **Train, fine-tune, and optimize LLM models** using custom datasets.
- **Monitor, evaluate, and improve model performance** using various evaluation metrics.
- Contribute to building AI pipelines and scalable architectures for deployment.

**Required Skills and Experience**

**3-4 years of hands-on experience** in:

- **Python programming** for Machine Learning and Deep Learning.
- **Machine Learning (ML)** models such as Linear Regression, Random Forest, XGBoost, etc.
- **Deep Learning (DL)** frameworks like TensorFlow, PyTorch, HuggingFace, etc.
- **Natural Language Processing (NLP)** using transformers, BERT, GPT, etc.
- **Generative AI (GenAI)** models like GPT-4, Claude, Gemini, etc., and working with Large Language Models (LLMs).
- Training and fine-tuning **LLMs (Large Language Models)** using custom datasets.

Pay: ₹326,892.23 - ₹1,292,032.67 per year

**Benefits**:

- Paid sick time
- Provident Fund
- Work from home

Schedule:

- Day shift
- Fixed shift

Work Location: In person

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