Highlights
AI-driven projects, NLP, Generative AI, Cloud platforms, MLOps
Description
Job Summary
pWe are seeking an experienced AI/ML Engineer to design, develop, and deploy scalable AI and Machine Learning solutions. This role involves working on cutting-edge projects in NLP, Generative AI, LLMs, and Computer Vision while collaborating with cross-functional teams.
Responsibilities
- Develop and deploy AI/ML models and pipelines.
- Build solutions in NLP, LLMs, Generative AI, and Computer Vision.
- Optimize, monitor, and maintain production models.
- Collaborate with cross-functional teams to deliver AI-driven solutions.
- Work with cloud platforms, MLOps tools, and deployment frameworks.
Required Skills
- Python
- TensorFlow
- NLP
- AWS
- Kubernetes
Required Skills Explained
- Strong proficiency in Python, essential for coding and implementing machine learning models.
- Experience with TensorFlow, PyTorch, Scikit-learn, or Keras, crucial for model development and training.
- Knowledge of NLP, LLMs, Generative AI, and Machine Learning algorithms, necessary for building effective solutions.
- Experience with Pandas, NumPy, SQL, REST APIs, important for data manipulation and integration.
- Familiarity with AWS, Azure, GCP, Docker, Kubernetes, and CI/CD, vital for deployment and maintenance of models in production environments.
Who is this for
pThis role is perfect for professionals with a strong background in AI and ML, who are passionate about building scalable solutions and working in a dynamic team environment.
Why This Job is a Good Opportunity
ulliOpportunity to work on cutting-edge AI and ML technologies, contributing to innovative projects.liCollaboration with cross-functional teams across various domains, enhancing professional development and networking.liChallenging tasks that require problem-solving skills in a dynamic environment.liPotential for career growth in a rapidly expanding field of technology.
Interview Preparation Tips
- Prepare examples of projects where you have implemented machine learning models, particularly those involving NLP and generative AI.
- Be ready to discuss your experience with ML frameworks like TensorFlow or PyTorch.
- Practice explaining complex technical concepts in a simple manner for non-technical interviewers.
- Discuss your understanding of MLOps tools and CI/CD processes.
Career Growth in This Role
pThe role offers opportunities to advance into more specialized positions such as Senior AI Engineer or Lead Data Scientist. With experience, you can also explore managerial roles overseeing teams of engineers working on similar projects. Continuous learning in areas like Reinforcement Learning (RL) and Explainable AI (XAI) will further enhance your career prospects.
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Skills
Frequently Asked Questions
What experience is preferred for this role?Experience with RAG, Vector Databases, and knowledge of LangChain, LlamaIndex, OpenAI APIs, and Hugging Face.
What kind of cloud platforms will I be working with?You will work with AWS, Azure, or GCP.
Is a Bachelor's or Master's degree required for this role?Yes, a degree in Computer Science, AI, Data Science, Machine Learning, or related field is required.
