
Expert AI Solution Architect
6 days ago
AI Engineer Opportunity
Atliq Technologies is looking for an experienced AI Engineer with a strong foundation in depth and breadth of the AI space. With hands-on expertise in General AI, you will bring judgment to choose the right approach, whether it's NLP, computer vision, classical ML, or data pipelines.
This role is about building practical, scalable AI solutions that solve real business problems. You'll work across the entire lifecycle, from data preparation to deployment, ensuring the solutions we build are impactful, not just experimental. We value proactive individuals who take ownership and drive initiatives beyond day-to-day coding.
Key Responsibilities:
- Designing, building, and integrating AI models with a focus on scalability, efficiency, and adaptability.
- Supporting MLOps practices to help models move from research to reliable production systems.
- Handling key parts of data preparation: cleaning, preprocessing, transformation, and validation.
- Writing maintainable, high-quality code with reusability in mind.
- Building APIs, pipelines, and prototypes that make AI solutions tangible and useful.
- Collaborating with AI engineers, developers, and product owners to turn ideas into working systems.
- Taking initiative in projects, contributing ideas, driving small experiments, and helping shape how we build solutions.
- Staying current with the fast-moving AI ecosystem and applying approaches that fit the problem.
Requirements:
- Solid foundation in AI/ML, with hands-on exposure to developing, integrating, and evaluating GenAI models.
- Familiarity with multiple AI domains such as NLP, computer vision, recommendation systems, classical ML.
- Experience with one or more ML/DL frameworks: PyTorch, TensorFlow, or SciKit-learn.
- Exposure to agentic AI systems (frameworks like LangChain, LlamaIndex, CrewAI, Agno) and evaluation of GenAI systems.
- Strong data handling skills (exploration, cleaning, preprocessing).
- Ability to prototype quickly and build simple APIs to demonstrate solutions.
- Problem-solving mindset and communication skills, explaining not just how something works but also why it matters.
Preferred:
- Experience applying AI to real-world projects (academic, internship, or professional).
- Curiosity and adaptability to explore new tools, frameworks, and problem domains.
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