Key Responsibilities:
Develop and deploy AI/ML and Generative AI solutions using Python.
Work with LLMs (e.g., OpenAI, Anthropic, LLaMA) and integrate them into applications.
Develop and maintain Python-based backend services for AI workflows.
Perform data preprocessing, model fine-tuning, and evaluation.
Integrate AI APIs and SDKs into products.
Build scalable ML pipelines and automate workflows.
Collaborate with data scientists and AI engineers to implement AI features.
Stay updated on latest AI, GenAI, and Python trends.
Required Skills:
Bachelor’s degree in Computer Science, AI, Data Science, or related field.
1–4 years of experience in Python development.
Hands-on experience with ML/AI frameworks (TensorFlow, PyTorch, Hugging Face Transformers).
Knowledge of Generative AI concepts (text, image, or code generation).
Familiarity with AI APIs (OpenAI, Google Gemini, Azure OpenAI).
Strong understanding of data processing (Pandas, NumPy) and REST API integration.
Basic understanding of cloud platforms (AWS, Azure, GCP) for AI deployment.
Good to Have:
Experience with LangChain, LlamaIndex, or vector databases (Pinecone, Weaviate, Chroma).
Experience in fine-tuning LLMs for domain-specific tasks.
Work Experience
Key Responsibilities:
Develop and deploy AI/ML and Generative AI solutions using Python.
Work with LLMs (e.g., OpenAI, Anthropic, LLaMA) and integrate them into applications.
Develop and maintain Python-based backend services for AI workflows.
Perform data preprocessing, model fine-tuning, and evaluation.
Integrate AI APIs and SDKs into products.
Build scalable ML pipelines and automate workflows.
Collaborate with data scientists and AI engineers to implement AI features.
Stay updated on latest AI, GenAI, and Python trends.
Required Skills:
Bachelor’s degree in Computer Science, AI, Data Science, or related field.
1–4 years of experience in Python development.
Hands-on experience with ML/AI frameworks (TensorFlow, PyTorch, Hugging Face Transformers).
Knowledge of Generative AI concepts (text, image, or code generation).
Familiarity with AI APIs (OpenAI, Google Gemini, Azure OpenAI).
Strong understanding of data processing (Pandas, NumPy) and REST API integration.
Basic understanding of cloud platforms (AWS, Azure, GCP) for AI deployment.
Good to Have:
Experience with LangChain, LlamaIndex, or vector databases (Pinecone, Weaviate, Chroma).
Experience in fine-tuning LLMs for domain-specific tasks.