Why This Role Stands Out
Elevate your career at Raas Infotek LLC, where you will lead the development of cutting-edge Generative AI and machine learning solutions within a collaborative, innovative environment. This hybrid role is perfect for a seasoned expert eager to architect scalable AI systems and drive impactful technical advancements, so apply today to shape the future of intelligent technology.
Quick Overview
Job Description
Job Title: Senior AI/ML Engineer
Experience: 13+ Years
Job Type: Full-Time
Job Summary
We are looking for a highly experienced AI/ML Engineer with 13+ years of experience in designing, developing, and deploying Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong expertise in Python, machine learning algorithms, deep learning, Generative AI, and cloud-based AI solutions.
Key Responsibilities
Design, develop, and deploy AI/ML models for business applications.
Build and optimize machine learning and deep learning algorithms.
Develop Generative AI solutions using Large Language Models (LLMs).
Work with NLP, computer vision, and predictive analytics.
Implement Retrieval-Augmented Generation (RAG) pipelines and vector databases.
Develop and maintain scalable AI/ML pipelines and APIs.
Work with cloud platforms such as AWS, Azure, or Google Cloud.
Collaborate with data engineers, software developers, and business teams.
Monitor model performance, troubleshoot issues, and improve accuracy.
Follow best practices for model evaluation, security, scalability, and responsible AI.
Required Skills
13+ years of experience in software engineering, AI/ML, or related fields.
Strong programming experience in Python.
Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks.
Strong understanding of machine learning, deep learning, and statistical modeling.
Experience with Generative AI, LLMs, prompt engineering, and RAG.
Knowledge of NLP, neural networks, and data processing.
Experience with vector databases such as Pinecone, FAISS, or Chroma.
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
Knowledge of SQL, REST APIs, and MLOps tools.
Strong problem-solving, communication, and analytical skills.
Preferred Qualifications
Experience with LangChain, LlamaIndex, or similar frameworks.
Knowledge of Docker, Kubernetes, CI/CD, and model deployment.
Experience with model monitoring, optimization, and production-level AI systems.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Similar jobs
- FC
HYBRID::Machine Learning Engineer / AI Engineer at Charlotte, NC(Hybrid) OR Chicago, IL.::ONLY W2
NewFutureTech Consultants LLC
Charlotte, NC🇺🇸Hybrid20 hours agoAWSMLOpsLLM+9Technology - BC
MLOps engineer
NewBCforward
Cincinnati, OH🇺🇸$80 - $85/hrHybrid20 hours agoEngineering - PG
AI/ML Engineer Enterprise AI Platforms, AIDLC, Hybrid - 71030
NewPRIMUS Global Services Inc.
Minnesota City, MN🇺🇸Hybrid20 hours agoTechnology - ST
Machine Learning Engineer, Radar
NewAuto ApplyStripe
Seattle🇺🇸Hybrid6 hours agoDeep LearningLLMMachine LearningTechnology - ET
Research Engineer, RL Frontiers
NewAuto ApplyEtched
San Jose🇺🇸On-site14 hours agoMental HealthPyTorchEngineering - CL
Senior ML Engineer, Perception
NewAuto ApplyClera
San Francisco🇺🇸On-site6 hours agoRoboticsComputer VisionC+++3Technology - WA
Staff Machine Learning Engineer, Robotics
NewAuto ApplyWayve
Sunnyvale🇺🇸Hybrid4 hours agoRoboticsDiversity & InclusionAutonomous Driving+5Technology - WA
Roboticist, Robot Foundation Model
NewAuto ApplyWayve
Sunnyvale🇺🇸Hybrid4 hours agoRoboticsDiversity & InclusionAutonomous Driving+4 - ZH
Staff/Principal AI/ML Engineer
NewAuto ApplyZus Health
Boston🇺🇸Hybrid5 hours agoAWSNLPHIPAA+6Technology - AG
AI/ML Engineer
NewASCII Group LLC
Minnesota City, MN🇺🇸Hybrid20 hours agoAgileTechnology - CS
AI/ML Engineer
NewCynet Systems
Irving, TX🇺🇸Hybrid20 hours agoDockerFastAPISQL+22Technology - TE
AI/ML Engineer - Houston, TX, San Antonio, TX, Dallas, TX, Austin, TX.
NewTechniPros, LLC
Houston, TX🇺🇸Hybrid20 hours agoDockerMLOpsMLflow+10Technology