Artificial Intelligence Engineer

Job Title:AI ENGINEER Location:Remote (Offshore) Duration : Contract Job Description: Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related technical field; PhD preferred Academic or applied focus on AI, deep learning, or intelligent systems is preferred Experience 3–5 years of hands-on experience building and deploying AI solutions 2-3 years of experience in one or more domains: language model, computer vision, signal processing, generative AI, optimization programming, recommendation systems, or autonomous agents 1+ year of experience in agentic AI and/or AI reasoning, Digital Twins, Decision/Prescriptive AI 4+ years of experience designing, developing, and deploying AI solutions in production environments Experience with production-grade Python and/or C/C++ Hands-on experience with large-scale software architecture, APIs, and model versioning systems Skills Strong software engineering background and experience in production-grade AI delivery systems Proficient in at least one skill in C++/CUDA, Python/PySpark, Java/Scala Good experience in cloud-native AI tools (Azure, AWS, GCP), DL/LLM/ML frameworks (LangChain, LangGraph, TensorFlow, PyTorch, OpenCV, Hugging Face), and AIOps platforms Strong in GPU based accelerating computing technologies (CUDA, Rapids, NeMo, NIM, etc.) Strong in Graph Theory or Knowledge Graph related architecture and database (e.g. Neo4j, cuGraph) Proficiency in model evaluation, distributed training, and hyperparameter optimization Proficient in Big Data Theory based large scale data streaming and in-memory database technologies (Spark, Kafka, Redis, Elastic Search) Strong in automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes) Proficiency in model evaluation, distributed training, and hyperparameter optimization Get familiar with AI/ML lifecycle, model architectures (including deep reinforcement learning, LLMs, RAG, vector search, MoE, foundation models), and structured/unstructured data pipelines Effective communicator who can explain complex technical ideas to technical and business audiences Ability to work independently in fast-paced, cross-functional environments Preferred Skills Experience in regulated industries (e.g., finance, healthcare, insurance) Excellent communication and stakeholder engagement skills Strong understanding of deep learning architectures (e.g. CNNs, RNNs, Transformers, GANs) Solid in AI/ML algorithms including Neural Network, Transformers, Diffusions, Generative Modeling, Bayesian Inference, Reinforcement Learning, BERT/CLIP Proficient in API, MCP and Microservices technologies Track records in large-scale, real-time AI/GenAI/AgenticAI/ML database and solution technologies Background in responsible AI/ML, model interpretability, and fairness auditing

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