AI/ML Engineer

About the Role We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies. Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Deploy machine learning models into production environments using MLOps best practices. Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor model performance and implement continuous improvements. Research and evaluate emerging AI technologies, frameworks, and industry trends. Develop APIs and microservices for AI model integration. Ensure data security, model governance, and compliance standards are maintained. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow, PyTorch, Scikit-learn, XGBoost. Strong understanding of: Supervised and Unsupervised Learning, Deep Learning Neural Networks, Natural Language Processing (NLP), Computer Vision, Reinforcement Learning (preferred). Experience with SQL and NoSQL databases. Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git. Preferred Qualifications Experience with Generative AI technologies and Large Language Models (LLMs). Hands-on experience with LangChain, LlamaIndex, Hugging Face, OpenAI APIs, Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS). Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD pipelines. Experience with Databricks and Apache Spark. Technical Skills Python, SQL, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Apache Spark, MLflow, Docker, Kubernetes, AWS/Azure/GCP, Git, REST APIs, Generative AI & LLMs Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Strong attention to detail and commitment to quality. Nice to Have AI Agent Development, Multi-Agent Systems, Prompt Engineering, Fine-tuning LLMs, Knowledge Graphs, MLOps Certification, Cloud Certifications (AWS, Azure, GCP) #J-18808-Ljbffr