Job Description: Senior AI/ML Engineer (10+ Years of Experience)

Job Title: Senior AI/ML Engineer
Experience: 10+ Years
Job Type: Contract W2 only

Job Summary

We are seeking an experienced Senior AI/ML Engineer with 10+ years of experience in designing, developing, and deploying scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong expertise in Python, machine learning algorithms, deep learning, Generative AI, Large Language Models (LLMs), and cloud-based AI platforms. The candidate will be responsible for building intelligent applications, developing predictive models, implementing AI-driven automation, and delivering enterprise-grade machine learning solutions.

Key Responsibilities

• Design, develop, and implement end-to-end AI/ML solutions to address complex business challenges.

• Develop and optimize machine learning and deep learning models using structured and unstructured datasets.

• Build predictive analytics, classification, regression, clustering, and recommendation models.

• Develop Generative AI applications using LLMs, RAG architectures, prompt engineering, and vector databases.

• Work with frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, and Hugging Face.

• Develop and deploy AI models using Python, REST APIs, and microservices architecture.

• Implement NLP, computer vision, text analytics, and intelligent document processing solutions.

• Build scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training.

• Implement MLOps practices for model deployment, monitoring, versioning, and continuous improvement.

• Leverage cloud-based AI services such as Azure AI, AWS SageMaker, and Google Vertex AI.

• Collaborate with data engineers, software developers, architects, and business stakeholders.

• Monitor model performance, improve accuracy, reduce latency, and optimize infrastructure costs.

• Ensure AI solutions meet enterprise standards for security, scalability, reliability, and responsible AI.

• Provide technical leadership, conduct code reviews, and mentor junior AI/ML engineers.

Required Technical Skills

1. Programming & Frameworks

• Strong experience in Python programming.

• Hands-on experience with NumPy, Pandas, SciPy, and SQL.

• Experience with Scikit-learn, TensorFlow, PyTorch, and Keras.

• Strong understanding of object-oriented programming and REST APIs.

2. Machine Learning & Deep Learning

• Supervised and unsupervised learning.

• Regression, classification, clustering, and ensemble techniques.

• Neural networks, CNNs, RNNs, and Transformers.

• Feature engineering, model evaluation, and hyperparameter tuning.

• Statistical modeling and predictive analytics.

3. Generative AI & LLMs

• Experience with OpenAI GPT models, Azure OpenAI, and Hugging Face.

• Knowledge of LangChain, LangGraph, and LlamaIndex.

• Hands-on experience with Retrieval-Augmented Generation (RAG).

• Prompt engineering, fine-tuning, and model evaluation.

• Experience with vector databases such as Pinecone, FAISS, Weaviate, or Chroma.

• Understanding of embeddings, semantic search, and AI agents.

4. Cloud & AI Platforms

• Experience with Microsoft Azure AI, AWS SageMaker, or Google Vertex AI.

• Knowledge of Azure Machine Learning, Azure AI Foundry, and Azure OpenAI.

• Experience deploying and managing cloud-based AI/ML applications.

• Knowledge of Docker, Kubernetes, and serverless computing.

5. MLOps & Model Deployment

• Experience with MLflow, Kubeflow, and CI/CD pipelines.

• Model monitoring, model versioning, and lifecycle management.

• Experience with Git, Jenkins, Azure DevOps, or GitHub Actions.

• Knowledge of model optimization, scalability, and production deployment.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

• 10+ years of experience in software engineering, data science, AI/ML engineering, or related technical roles.

• Strong experience developing and deploying production-grade AI/ML applications.

• Experience leading technical initiatives and working with cross-functional teams.

• Excellent analytical, problem-solving, communication, and leadership skills.

Preferred Qualifications

• Experience implementing enterprise-level Generative AI solutions.

• Knowledge of Responsible AI, AI governance, and data privacy.

• Experience with real-time machine learning and distributed computing.

• Familiarity with big data technologies such as Apache Spark and Databricks.

• Experience in fine-tuning and optimizing open-source LLMs.

• Experience designing scalable AI architectures for enterprise applications.