Job description

Job Summary: We are seeking an Applied Artificial Intelligence (AI) Engineer to design, develop, and deploy AI-driven solutions that transform digital processes and enhance decision-making capabilities. The ideal candidate combines strong AI/ML engineering expertise with practical application experience in real-world digital transformation scenarios. Key Responsibilities: • Design, develop, and implement AI/ML models and algorithms for business applications. • Apply AI techniques such as machine learning, deep learning, natural language processing (NLP), computer vision, and generative AI to solve practical problems. • Collaborate with cross-functional teams (data scientists, software engineers, and product managers) to integrate AI capabilities into digital platforms and enterprise systems. • Develop and optimize data pipelines, model training workflows, and deployment strategies using MLOps best practices. • Evaluate emerging AI technologies and frameworks for potential adoption in digital transformation projects. • Conduct performance analysis, fine-tuning, and model interpretability testing. • Document design and implementation details to ensure maintainability and compliance. • Work closely with cloud and DevOps teams to operationalize AI models at scale. Technical Skills: • Languages: Python, Java, or C++ • Frameworks/Libraries: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers • MLOps Tools: MLflow, Kubeflow, AWS Sagemaker, Azure ML, or GCP Vertex AI • Data Handling: SQL, NoSQL, Spark, Pandas, NumPy • Cloud Platforms: AWS / Azure / Google Cloud (AI & Data Services) • Version Control: Git, GitHub/GitLab • Optional (nice-to-have): LangChain, LlamaIndex, RAG pipelines, Generative AI (LLMs, Diffusion Models) Soft Skills: • Strong analytical and problem-solving abilities • Ability to translate business requirements into technical AI solutions • Excellent communication and collaboration skills • Passion for continuous learning and emerging AI technologies

Requirements