
Artificial Intelligence Engineer
3 weeks ago
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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