Job Title: AI/ML Engineer (Artificial Intelligence & Machine Learning)

Job Type: Full-Time / Contract
Experience Level: Mid-Level to Senior
Location: [Insert Location or Remote]

Job Summary

We are seeking a skilled AI/ML Engineer to design, develop, and deploy artificial intelligence and machine learning solutions that solve complex business problems. The ideal candidate will have experience building machine learning models, developing AI-powered applications, and working with large datasets to deliver scalable, high-performance solutions.

The successful candidate will collaborate with software engineers, data scientists, product managers, and business stakeholders to develop intelligent systems that improve automation, decision-making, and operational efficiency.

Key Responsibilities

• Design, develop, train, and deploy machine learning models and AI applications.

• Build and optimize predictive analytics, natural language processing (NLP), and generative AI solutions.

• Develop AI-powered applications using large language models (LLMs), retrieval-augmented generation (RAG), and related technologies.

• Collect, clean, process, and analyze large datasets for model training and evaluation.

• Implement machine learning pipelines and automate model deployment and monitoring.

• Integrate AI/ML models into existing applications, APIs, and cloud-based platforms.

• Evaluate model performance, accuracy, scalability, and reliability.

• Collaborate with cross-functional teams to identify AI opportunities and translate business requirements into technical solutions.

• Follow best practices for data security, responsible AI, model governance, and bias mitigation.

• Stay current with emerging AI/ML frameworks, tools, and industry developments.

Required Qualifications

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

• 3+ years of experience in machine learning, artificial intelligence, data science, or software engineering.

• Strong programming experience with Python.

• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Knowledge of supervised and unsupervised learning, deep learning, model training, and evaluation.

• Experience working with SQL, databases, and data processing pipelines.

• Familiarity with REST APIs, cloud computing, and production software development.

• Understanding of algorithms, statistics, data structures, and software engineering principles.

Preferred Qualifications

• Experience with generative AI, LLMs, prompt engineering, and RAG architectures.

• Familiarity with AI development tools and frameworks such as Hugging Face, LangChain, or LlamaIndex.

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

• Knowledge of MLOps tools and practices, including MLflow, Docker, Kubernetes, and CI/CD pipelines.

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

• Familiarity with data engineering tools such as Apache Spark, Kafka, or Airflow.

• Experience deploying and monitoring AI solutions in production environments.

Key Skills

• Python programming

• Machine learning and deep learning

• Generative AI and large language models

• Natural language processing

• Data analysis and model optimization

• Cloud-based AI development

• MLOps and model deployment

• Problem-solving and analytical thinking

• Communication and cross-functional collaboration

Success Metrics

• Accuracy, reliability, and performance of deployed models.

• Successful integration of AI solutions into business applications.

• Reduction in manual processes through automation.

• Improved operational efficiency and measurable business outcomes.

• Scalability, maintainability, and responsible use of AI systems.