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AI Developer Position
2 weeks ago
Job Overview:We're seeking a highly skilled Artificial Intelligence Developer with 2-4 years of experience to design, develop, and deploy artificial intelligence solutions that focus on Generative AI, Natural Language Processing, Retrieval-Augmented Generation, and Time Series Forecasting.The ideal candidate will have hands-on experience with advanced frameworks like LangGraph and other Generative AI tools to build cutting-edge AI applications.Key Responsibilities:Design, develop, and deploy AI models focusing on NLP, Generative AI, RAG, and Time Series Forecasting workflows.Optimize performance for large language models (LLMs) and generative AI applications by refining prompts.Implement and maintain data preprocessing pipelines, including data cleansing, feature engineering, embedding generation, and transformation for time series data.Develop end-to-end solutions integrating LLMs with VectorDBs for document retrieval, semantic search, and contextual query answering.Utilize LangGraph and other Generative AI frameworks to build structured workflows for LLM-based applications.Train and fine-tune machine learning models, including LLMs, to enhance performance and accuracy.Analyze and interpret complex datasets, ensuring scalable and efficient AI model deployment.Collaborate with cross-functional teams to integrate AI/ML models into existing systems and workflows.Ensure models are robust, scalable, and adhere to best practices in ethical AI development.Conduct testing, performance benchmarking, and iterative refinements of AI models and pipelines.Stay updated with the latest advancements in AI/ML, NLP, and cloud technologies and recommend integration strategies for emerging tools and techniques.Required Skills and Qualifications:Ai/ml Expertise: Proven experience in developing, fine-tuning, and deploying ai/ml models, focusing on nlp, generative ai, and time series forecasting.Prompt Engineering: Proficiency in designing, testing, and optimizing prompts for llms.Data Analysis: Strong ability to process and interpret large and complex datasets, including time series data, for ai model training and validation.Programming: Proficiency in python and experience with ai/ml frameworks like tensorflow, pytorch, and scikit-learn.Nlp Techniques: Understanding of tokenization, embeddings, transformer-based models (e.g., bert, gpt, llama), and rag workflows.Vector Databases: Experience with weaviate, pinecone, faiss, or similar vectordbs for document retrieval and storage.Langgraph & Genai Frameworks: Hands-on experience with langgraph, langchain, huggingface transformers, openai api, and other generative ai tools.Cloud Deployment: Familiarity with deploying ai solutions on aws, gcp, or azure.Time Series Forecasting: Experience with arima, lstm, prophet, and other forecasting techniques.Model Training & Fine-Tuning: Ability to train and fine-tune machine learning models, including large language models (llms), to enhance performance and accuracy.Problem-Solving & Collaboration: Strong analytical, problem-solving, and teamwork skills to work effectively in a cross-functional environment.Benefits:As an Artificial Intelligence Developer, you'll be part of a collaborative team working on cutting-edge projects. You'll have opportunities to grow professionally, develop new skills, and contribute to innovative AI solutions.Others:Our organization values diversity, equity, and inclusion in the workplace. We welcome applicants from diverse backgrounds and encourage them to apply.],
