Description

Job Description

Required Technical Skills:

•                     Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras). (Must Have- one of the framework)

•                     Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA). (Must Have)

•                     Exposure to RAG systems and basic knowledge of hybrid search techniques. (Must Have)

•                     Understanding of model deployment and containerization (Docker). (Good to Have)

•                     Proficiency in Python for AI development, data preprocessing, and scripting. (Must Have- Python should be strong)

•                     Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus. (Good to Have- at least one of this skill)

•                     Understanding of version control systems (Git). (Must Have)

•                     Awareness of AI compliance, data privacy, and responsible AI principles. (Good to Have)

Required Soft Skills:

•                     Strong teamwork and communication abilities.

•                     Willingness to learn new AI/ML technologies and frameworks.

•                     Analytical mindset and attention to detail.

•                     Openness to feedback and continuous improvement. 

Qualifications:

•                     Bachelor’s degree or Master’s degree in Computer Science, Data Science, AI, or a related field.

•                     3–5 years of professional experience in AI/ML development, with exposure to Generative AI.

•                     Experience delivering AI/ML projects in a collaborative setting.

•                     Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus

Key Skills

Education

Any Graduate