AI/ML Engineer

AI/ML Engineer

We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy scalable machine learning and generative AI solutions that solve complex business problems. The ideal candidate will have hands-on experience building AI/ML models, working with large datasets, deploying production-grade applications, and collaborating with cross-functional stakeholders to drive innovation and business impact.

Key Responsibilities

• Design, develop, train, and optimize machine learning and deep learning models for real-world business applications.
• Build and deploy scalable AI/ML pipelines using cloud-native and MLOps best practices.
• Develop Generative AI, LLM, NLP, computer vision, recommendation systems, or predictive analytics solutions based on business requirements.
• Work with structured and unstructured datasets to perform data preprocessing, feature engineering, and model evaluation.
• Implement RAG (Retrieval-Augmented Generation), vector databases, prompt engineering, and agentic AI workflows.
• Integrate AI solutions with enterprise applications, APIs, and cloud platforms.
• Monitor model performance, accuracy, scalability, drift, and reliability in production environments.
• Collaborate with product managers, data engineers, architects, and business stakeholders to define AI strategies and execution plans.
• Build prototypes, proof-of-concepts (POCs), and production-ready AI applications rapidly using modern AI frameworks and tools.
• Ensure responsible AI practices, security, governance, explainability, and compliance standards are followed.
• Create technical documentation, model reports, and deployment guidelines.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
• 3+ years of experience in AI/ML engineering or data science roles.
• Strong programming experience in Python.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or XGBoost.
• Experience working with Generative AI technologies including LLMs, LangChain, OpenAI APIs, Hugging Face, vector databases, and RAG architectures.
• Strong understanding of machine learning algorithms, NLP, deep learning, statistics, and model evaluation techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps practices.
• Experience with SQL/NoSQL databases and data engineering workflows.
• Strong problem-solving, analytical thinking, and communication skills.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.