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AI/ML Developer (LLM)- 4 to 6 Years

4.00 to 8.00 Years   Ahmedabad, Gujarat   17 Jun, 2025
MindInventory
Job LocationAhmedabad, Gujarat
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Minimum of (4) years of experience in AI-based application development.Fine-tune pre-existing models to improve performance and accuracy.Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks andfamiliarity with APIs like OpenAI or vertex AIExperience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT).Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs,Hugging Face, and Prompt Engineering techniques to build robust and scalable AIapplications.Evaluate and analyze RAG solution and Utilise the best-in-class LLM to definecustomer experience solutions (Fine tune Large Language models (LLM)).Architect and develop advanced generative AI solutions leveraging state-of-the-artlanguage models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others.Strong understanding and experience with open-source multimodal LLM models tocustomize and create solutions.Explore and implement cutting-edge techniques like Few-Shot Learning,Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI modeltraining and fine-tuning.Proficiency in data preprocessing, feature engineering, and data visualization usingtools like Pandas, NumPy, and Matplotlib.Optimize model performance through experimentation, hyperparameter tuning, andadvanced optimization techniques.Proficiency in Python with the ability to get hands-on with coding at a deep level.Develop and maintain APIs using Pythons FastAPI, Flask, or Django for integratingAI capabilities into various systems.Ability to write optimized and high-performing scripts on relational databases (e.g.,MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra)Enthusiasm for continuous learning and professional developement in AI and leatedtechnologies.Collaborate with cross-functional teams to understand business requirements andtranslate them into technical solutions.Knowledge of cloud services like AWS, Google Cloud, or Azure.Proficiency with version control systems, especially Git.Familiarity with data pre-processing techniques and pipeline development for Almodel training.Experience with deploying models using Docker, KubernetesExperience with AWS Bedrock, and Sagemaker is a plusStrong problem-solving skills with the ability to translate complex business problemsinto Al solutions.,

Keyskills :
NLPNLTKReinforcement LearningNumPyMatplotlibFlaskDjangoMySQLPostgreSQLMongoDBCassandraAWSAzureGitDockerKubernetesTensorFlowPyTorchScikitlearnOpenAISpaCyGPTBERTLangChainAnthropics Constitutional AIHugging FacePrompt Engineering

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