AI Engineer
Job Description & How to Apply Below
We are seeking a highly motivated and skilled AI Engineer to join our growing technology team. The ideal candidate will be responsible for designing, developing, deploying, and optimizing AI-driven solutions, including machine learning models, generative AI applications, and large language model (LLM)-based systems. This role offers an exciting opportunity to work on cutting‑edge AI initiatives that drive business innovation and operational excellence.
Key Responsibilities AI & Machine Learning Development- Design, develop, train, and deploy machine learning and deep learning models for real‑world business applications.
- Build predictive analytics, classification, recommendation, and automation solutions.
- Conduct data analysis, feature engineering, model evaluation, and performance tuning.
- Monitor model performance and implement continuous improvements.
- Develop and implement Generative AI applications using Large Language Models (LLMs).
- Build AI assistants, chatbots, retrieval-augmented generation (RAG) systems, and intelligent automation solutions.
- Fine‑tune, customize, and optimize foundation models for specific business use cases.
- Integrate AI solutions using modern frameworks and APIs.
- Design and maintain scalable data pipelines for AI and machine learning workflows.
- Integrate structured and unstructured data from multiple sources.
- Ensure data quality, governance, security, and efficient data processing.
- Collaborate with stakeholders to understand data requirements and business objectives.
- Deploy AI/ML models and applications in cloud and production environments.
- Implement MLOps practices, CI/CD pipelines, model monitoring, and performance optimization.
- Ensure scalability, reliability, and cost‑efficiency of AI solutions.
- Troubleshoot and resolve production issues related to AI systems.
- Work closely with product managers, software engineers, data engineers, and business stakeholders.
- Stay updated on emerging AI, machine learning, and Generative AI technologies.
- Contribute innovative ideas and best practices to enhance AI capabilities across the organization.
- Participate in technical discussions, code reviews, and knowledge‑sharing initiatives.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.
- 6+ years of experience in AI/ML development.
- Strong proficiency in Python and AI/ML frameworks such as Tensor Flow, PyTorch, Scikit‑learn, or similar.
- Hands‑on experience with Generative AI, LLMs, prompt engineering, RAG architectures, and vector databases.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of MLOps, Docker, Kubernetes, CI/CD, and model deployment practices.
- Strong understanding of data engineering concepts and database technologies.
- Excellent analytical, problem‑solving, and communication skills.
- Experience with Lang Chain, Llama Index, OpenAI APIs, Hugging Face, or similar AI ecosystems.
- Familiarity with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
- Experience in NLP, computer vision, or multimodal AI applications.
- Knowledge of distributed systems and scalable AI infrastructure.
- Competitive salary package.
- Company‑sponsored visa and air ticket.
- Opportunity to work on advanced AI and Generative AI projects.
- Collaborative and innovation‑driven work environment.
- Career growth and professional development opportunities.
Immediate joiners and candidates with a notice period of up to 30 days are strongly encouraged to apply.
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