Senior AI/ML Engineer

Raas Infotek; Jersey City (NJ); On-site; USD 180,000 - 260,000; Full time

Job summary

Raas Infotek seeks a Senior AI/ML Engineer with 13+ years of experience to design, build, and deploy end-to-end AI/ML solutions for business applications. You will work with Python, TensorFlow, PyTorch, and Scikit-learn to implement Generative AI and LLM-based systems, including RAG pipelines and vector databases.

You will collaborate with data engineers and software teams, deploy on AWS/Azure/GCP, and ensure scalable, secure, high-performance AI products with strong REST API integration.

Qualifications

• 13+ years of experience in software engineering, AI/ML, or related fields.
• Strong programming skills in Python.
• Experience with TensorFlow, PyTorch, and Scikit-learn.
• Strong knowledge of Machine Learning, Deep Learning, and statistical modeling.
• Hands-on experience with Generative AI, LLMs, and RAG.
• Experience with NLP and data processing techniques.
• Knowledge of vector databases such as Pinecone, FAISS, or Chroma.
• Experience with AWS, Azure, or Google Cloud Platform.
• Knowledge of SQL, REST APIs, and MLOps.
• Strong analytical, problem-solving, and communication skills.

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 LLMs and prompt engineering.
• Work on NLP, predictive analytics, and neural networks.
• Implement Retrieval-Augmented Generation (RAG) pipelines and vector databases.
• Develop scalable AI applications and integrate REST APIs.
• Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Collaborate with data engineers, software developers, and business teams.
• Monitor model performance and improve accuracy, scalability, and efficiency.
• Follow best practices for AI security, model evaluation, and responsible AI.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

LLMs

NLP

RAG

REST APIs

MLOps

Vector databases

AWS

Azure

GCP

SQL

Communications

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

LangChain

LlamaIndex

Docker

Kubernetes

CI/CD

Job description

Job Description: Senior AI/ML Engineer

We are looking for a highly experienced AI/ML Engineer with 13+ years of experience in developing, implementing, and deploying AI and Machine Learning solutions. The ideal candidate should have strong expertise in Python, Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).

Experience

13+ Years

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 LLMs and prompt engineering.
• Work on NLP, predictive analytics, and neural networks.
• Implement Retrieval-Augmented Generation (RAG) pipelines and vector databases.
• Develop scalable AI applications and integrate REST APIs.
• Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Collaborate with data engineers, software developers, and business teams.
• Monitor model performance and improve accuracy, scalability, and efficiency.
• Follow best practices for AI security, model evaluation, and responsible AI.

Required Skills

• 13+ years of experience in software engineering, AI/ML, or related fields.
• Strong programming skills in Python.
• Experience with TensorFlow, PyTorch, and Scikit-learn.
• Strong knowledge of Machine Learning, Deep Learning, and statistical modeling.
• Hands-on experience with Generative AI, LLMs, and RAG.
• Experience with NLP and data processing techniques.
• Knowledge of vector databases such as Pinecone, FAISS, or Chroma.
• Experience with AWS, Azure, or Google Cloud Platform.
• Knowledge of SQL, REST APIs, and MLOps.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with LangChain, LlamaIndex, or similar frameworks.
• Knowledge of Docker, Kubernetes, CI/CD, and model deployment.
• Experience deploying and maintaining production-level AI/ML applications.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.