Machine Learning Engineer - LLM/RAG

Job Description Senior AI/ML Data Scientist (GCP Certified)Job Title : Senior AI/ML Data ScientistLocation : Bangalore, KarnatakaExperience : 5 to 7 YearsEmployment Type : Full-TimeWork Mode : Hybrid / Work from OfficeJob Summary : We are looking for a highly skilled Senior AI/ML Data Scientist with 57 years of experience in Data Science, Artificial Intelligence, and Machine Learning. The ideal candidate will have strong expertise in developing, deploying, and optimizing AI/ML solutions, including Generative AI, LLMs, Agentic AI, Deep Learning, and Predictive Analytics. The candidate should possess hands-on experience with GCP and/or Azure, advanced statistical modeling, machine learning frameworks, and large-scale data processing technologies. A GCP Certification is mandatory for this role.Key Responsibilities : - Design, develop, and deploy AI/ML solutions to solve complex business problems.- Build, train, evaluate, and optimize Machine Learning and Deep Learning models.- Develop and implement Generative AI applications using LLMs and Agentic AI frameworks.- Design and implement Retrieval-Augmented Generation (RAG) architectures.- Deploy, monitor, and maintain AI/ML models on Google Cloud Platform (GCP) and Azure.- Build scalable data science pipelines using Spark, SQL, and cloud-native technologies.- Perform advanced analytics, statistical modeling, predictive analysis, and optimization.- Develop AI-powered applications using LangChain and LangGraph frameworks.- Collaborate with business stakeholders to translate requirements into AI-driven solutions.- Implement MLOps best practices for model deployment, monitoring, and governance.- Optimize model performance, scalability, reliability, and cost efficiency.- Lead technical discussions, mentor junior team members, and drive AI innovation initiatives.- Ensure adherence to data governance, security, and responsible AI standards.Required Technical Skills : Artificial Intelligence & Machine Learning : - Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Agentic AI, Reinforcement Learning (Preferred), NLP (Natural Language Processing), Computer Vision (Preferred), Predictive Analytics.Data Science & Statistics : - Statistical Analysis, Mathematical Modeling, Predictive Modeling, Hypothesis Testing, Optimization Techniques, Feature Engineering, Data Mining, Time Series Forecasting.Programming & Data Engineering : - Python, R Programming, PySpark, SQL, Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch.Big Data Technologies : - Apache Spark, Data Processing Pipelines, Distributed Computing, Data Engineering Concepts.Generative AI & Agentic AI : - LangChain, LangGraph, RAG (Retrieval-Augmented Generation), Prompt Engineering, Vector Databases, AI Agents, Multi-Agent Systems.Cloud Platforms : - Google Cloud Platform (GCP), Azure AI Services, Vertex AI, Azure Machine Learning, Cloud Storage, Cloud Functions, AI Deployment Services.MLOps & Deployment : - Model Deployment, Model Monitoring, CI/CD Pipelines, MLflow, Docker, Kubernetes, Git.Required Qualifications : - Bachelors or Masters Degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or related field.- 57 years of experience in Data Science, AI, or Machine Learning.- Hands-on experience in deploying and maintaining AI/ML models on GCP or Azure.- Strong expertise in Machine Learning, Deep Learning, and Statistical Modeling.- Experience with Generative AI, LLMs, Agentic AI, LangChain, and LangGraph.- Strong programming skills in Python and/or R.- Experience with Spark, SQL, and large-scale data processing.- Mandatory GCP Certification (Professional Machine Learning Engineer, Professional Data Engineer, or equivalent).Preferred Qualifications : - Experience with Vertex AI and Google AI services.- Knowledge of MLOps frameworks and model governance.- Experience with vector databases such as Pinecone, Weaviate, Qdrant, or Chroma.- Exposure to cloud-native AI architectures.- Experience leading AI/ML projects and mentoring teams.Soft Skills : - Strong analytical and problem-solving skills.- Excellent communication and stakeholder management abilities.- Leadership and mentoring capabilities.- Ability to work in a fast-paced, innovation-driven environment.- Strong business acumen and decision-making skills.- Collaborative mindset with cross-functional teams.Key Competencies : - Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Generative AI, Large Language Models (LLMs), Agentic AI, LangChain, LangGraph, GCP, Vertex AI, Azure AI, Python, R, Spark, SQL, MLOps, Statistical Modeling, Optimization, Predictive Analytics.Work Location : - Bangalore, Karnataka.Candidates with strong expertise in AI/ML, Generative AI, Agentic AI, GCP, LangChain, LangGraph, and cloud-based model deployment are encouraged to apply. (ref:hirist.tech)