Senior AI/ML Engineer

Senior AI/ML Engineer – 12+ Years Experience

Job Title: Senior AI/ML Engineer

Experience: 12+ Years
Job Type: Contract

Job Description

We are seeking an experienced Senior AI/ML Engineer with 12+ years of experience to design, develop, and deploy scalable AI and Machine Learning solutions. The ideal candidate will work closely with data scientists, software engineers, architects, product teams, and business stakeholders to deliver production-ready AI/ML solutions.

Key Responsibilities

• Design, develop, train, and deploy Machine Learning and AI models.

• Develop scalable AI/ML solutions using Python and modern ML frameworks.

• Perform data preprocessing, feature engineering, model evaluation, and optimization.

• Develop NLP, Generative AI, LLM, and RAG-based solutions.

• Work with LLMs, prompt engineering, embeddings, and vector databases.

• Build and integrate AI/ML solutions using REST APIs and microservices.

• Implement MLOps practices for model deployment, monitoring, and lifecycle management.

• Collaborate with Data Scientists, Data Engineers, Developers, Architects, QA, and Product teams.

• Support Agile/Scrum development, production deployments, and post-production validation.

• Troubleshoot model and application issues and continuously improve performance.

Required Skills

• 12+ years of experience in AI/ML Engineering, Machine Learning, Data Science, or related fields.

• Strong programming experience with Python.

• Strong knowledge of Machine Learning, Deep Learning, and Neural Networks.

• Experience with PyTorch, TensorFlow, and/or Scikit-learn.

• Hands-on experience with NLP, Generative AI, and LLMs.

• Experience with Prompt Engineering, RAG, embeddings, and vector databases.

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

• Strong understanding of SQL, databases, REST APIs, and microservices.

• Experience with SDLC and Agile/Scrum methodologies.

• Strong analytical, problem-solving, communication, and technical leadership skills.

Preferred Skills

• Experience with AWS, Azure, or Google Cloud Platform.

• Experience with SageMaker, Azure Machine Learning, or Vertex AI.

• Experience with MLOps, MLflow, Kubeflow, or Airflow.

• Experience with Docker and Kubernetes.

• Knowledge of Apache Spark / PySpark.

• Experience with AI Agents, Agentic AI, and tool calling.

• Knowledge of Computer Vision is a plus.

• Experience with AI governance, model monitoring, and responsible AI.

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field preferred.