Our client is seeking an experienced AI/ML Engineer with 7+ years of experience in developing, deploying, and optimizing machine learning models and AI-driven solutions, including Generative AI applications, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). The ideal candidate should have strong programming skills and hands-on experience building scalable AI solutions for real-world business problems.

Key Responsibilities

Design, develop, and deploy machine learning and AI models for business applications.
Build Generative AI applications using LLMs and RAG architectures.
Develop and optimize data pipelines, model training workflows, and inference systems.
Analyze large datasets to identify patterns, generate insights, and improve model performance.
Implement predictive models, classification algorithms, and deep learning solutions.
Integrate AI/ML models and GenAI applications into production systems.
Evaluate model performance and improve accuracy, scalability, and reliability.
Implement model monitoring, testing, and maintenance processes.
Collaborate with data engineering and software teams to deliver scalable AI solutions.

Required Skills

7+ years of experience in AI/ML engineering, machine learning, or a related field.
Strong programming skills in Python.
Hands-on experience with Generative AI, Large Language Models (LLMs), and RAG.
Experience building and integrating LLM-powered applications and RAG pipelines.
Hands-on experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
Strong understanding of machine learning algorithms, statistics, and model evaluation techniques.
Experience in data preprocessing, feature engineering, model training, and optimization.
Proficiency in SQL and working with structured and unstructured datasets.
Experience deploying AI/ML models through REST APIs, containers, or cloud-based environments.
Knowledge of Git, testing, and software development best practices.
Strong analytical, problem-solving, and communication skills.

Nice-to-Have-Skills

Experience with Azure AI, AWS, or Google Cloud AI/ML services.
Familiarity with MLOps, MLflow, model monitoring, and CI/CD pipelines.
Knowledge of deep learning, NLP, or computer vision.
Experience with vector databases and AI application frameworks such as LangChain or LlamaIndex.

About YMinds.AI

YMinds.AI connects organizations with skilled technology professionals and helps businesses identify talent aligned with their technical and project requirements. We focus on connecting specialized technology expertise with evolving business needs.

Keywords

AI/ML Engineer, Artificial Intelligence, Machine Learning, Python, Generative AI, LLMs, RAG, Retrieval-Augmented Generation, Scikit-learn, TensorFlow, PyTorch, Predictive Modeling, Deep Learning, Model Deployment, MLOps, Azure AI, Cloud AI, NLP, Vector Databases.

Hashtags

#AIMLEngineer #ArtificialIntelligence #MachineLearning #GenerativeAI #LLM #RAG #Python #DeepLearning #MLOps #DataScience #YMindsAI