Artificial Intelligence Engineer

1 week ago

Mysuru, India KPG99 INC Full time

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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