Artificial intelligence engineer

2 days ago

Davangere, India KPG99 INC Full time

Job Title: AI ENGINEERLocation: Remote (Offshore)Duration: Contract Job Description: Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related technical field; Ph D preferredAcademic or applied focus on AI, deep learning, or intelligent systems is preferredExperience3–5 years of hands-on experience building and deploying AI solutions2-3 years of experience in one or more domains: language model, computer vision, signal processing, generative AI, optimization programming, recommendation systems, or autonomous agents1+ year of experience in agentic AI and/or AI reasoning, Digital Twins, Decision/Prescriptive AI4+ years of experience designing, developing, and deploying AI solutions in production environmentsExperience with production-grade Python and/or C/C++Hands-on experience with large-scale software architecture, APIs, and model versioning systemsSkillsStrong software engineering background and experience in production-grade AI delivery systemsProficient in at least one skill in C++/CUDA, Python/Py Spark, Java/ScalaGood experience in cloud-native AI tools (Azure, AWS, GCP), DL/LLM/ML frameworks (Lang Chain, Lang Graph, Tensor Flow, Py Torch, Open CV, Hugging Face), and AIOps platformsStrong in GPU based accelerating computing technologies (CUDA, Rapids, Ne Mo, NIM, etc.)Strong in Graph Theory or Knowledge Graph related architecture and database (e.g. Neo4j, cu Graph)Proficiency in model evaluation, distributed training, and hyperparameter optimizationProficient in Big Data Theory based large scale data streaming and in-memory database technologies (Spark, Kafka, Redis, Elastic Search)Strong in automated workflow technologies (Git Hub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes)Proficiency in model evaluation, distributed training, and hyperparameter optimizationGet familiar with AI/ML lifecycle, model architectures (including deep reinforcement learning, LLMs, RAG, vector search, Mo E, foundation models), and structured/unstructured data pipelinesEffective communicator who can explain complex technical ideas to technical and business audiencesAbility to work independently in fast-paced, cross-functional environmentsPreferred SkillsExperience in regulated industries (e.g., finance, healthcare, insurance)Excellent communication and stakeholder engagement skillsStrong 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/CLIPProficient in API, MCP and Microservices technologiesTrack records in large-scale, real-time AI/Gen AI/Agentic AI/ML database and solution technologiesBackground in responsible AI/ML, model interpretability, and fairness auditing

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