Required Skills :
- 1-4 Years of experience in the following Skillsets
- Proficiency in Programming language : Python
- Pandas, NumPY : Good knowledge in handling libraries in Python like Pandas, NumPy for data manipulation and analysis
- Fast / Flask / Django : Realtime experience in either one of the Frameworks on writing Rest APIs development
- Pinecone / Chroma / Mistral / MongoDB : Hands-on experience in NOSQL / Vector Database : Hands-on experience in either one of the database
- GPT-4, LLaMA, Claude, PaLM : Proficiency in utilizing SDKs / APIs of leading LLM(large language models)
- Experience in Generative AI models Prompting, Training, fine-tuning and inferencing
- Experience in different learnings like Reinforcement, Zero shot, Few-shot learning etc. .
- Familiar in working with Langchain frameworks and libraries.
- Experience with Hugging Face Transformers, including model download, optimization, training, and deployment.
- Airflow : Experience in Orchestration data tools
- AWS / GCP / Azure : Deployment experience in either one of the Cloud Services
- Knowledge in ML tooling Sagemaker / Bedrocks / Vertex AI
- MLOps : Familiarity with machine learning operations (MLOps) for model lifecycle management, version control, and CI / CD pipelines for AI.
- Knowledge in Git, Agile, and DevOps development.
- Basic knowledge in iOS application development and deployment.
- Basic knowledge in Hybrid application development.
Job Responsibilities :
Implement generative AI models for conversational agents, chatbots, and other AI-driven Agents.Design, develop, and fine-tune large language models (e. g. , GPT-4, LLaMA, Claude) for building AI agents.Develop, test, and optimize prompts to enhance the performance and accuracy of AI agent responses.Utilize MLOps tools for continuous integration / continuous deployment (CI / CD) of deploy the AI models & monitoringSkills Required
Django, Numpy, Python, Artificial Intelligence, MLops, Agile, Llm, Machine Learning