Careers
Job Description
We are seeking a highly motivated AI/ML Engineer with strong experience in machine learning, deep learning, and applied AI research. You will be responsible for designing, experimenting, and developing models to solve real-world business problems.The ideal candidate should be comfortable with end-to-end ML workflows—from data exploration and feature engineering to model research, evaluation, and production deployment. A passion for research papers, state-of-the-art algorithms, and innovation is key.
Key Responsibilities
AI/ML Research & Development
- Research and implement ML/DL algorithms from recent papers and academic literature.
- Develop prototypes to evaluate state-of-the-art models (transformers, diffusion models, LLMs, graph models, etc.).
- Stay updated with the latest advancements in AI/ML and recommend adoption where relevant.
Model Development & Optimization
- Design, train, and fine-tune ML/DL models for NLP, computer vision, recommendation, forecasting, or multimodal tasks.
- Optimize models for scalability, accuracy, and efficiency (quantization, pruning, distillation, GPU/TPU optimization).
- Conduct rigorous experiments, hyperparameter tuning, and benchmarking.
Data & Evaluation
- Build datasets for experimentation, perform preprocessing, and ensure data quality.
- Define robust evaluation metrics and run experiments to measure model performance.
- Work with synthetic, real-world, and open-source datasets.
Collaboration & Knowledge Sharing
- Work with product, research, and engineering teams to align AI research with business goals.
- Contribute to technical documentation, internal knowledge bases, or even external publications.
- Present findings and experiment results to stakeholders.
Skills & Qualifications
- Education: Bachelor’s/Master’s/PhD in Computer Science, AI/ML, Data Science, or related field.
- Core ML/DL Expertise: Hands-on with PyTorch, TensorFlow, JAX, Hugging Face, Scikit-learn.
- Research Orientation: Ability to read, implement, and reproduce results from academic papers.
- Specialized Experience: Strong in at least one of the following:
- NLP & LLMs (transformers, embeddings, RAG, fine-tuning)
- Computer Vision (CNNs, vision transformers, generative models)
- Reinforcement Learning
- Multimodal AI (vision + text, speech + text)
- Data Handling: Experience with large datasets, preprocessing, and feature engineering.
- Deployment Knowledge (nice-to-have): Exposure to model serving, APIs, or cloud ML pipelines (AWS Sagemaker, GCP Vertex AI, Azure ML).
- Strong analytical, mathematical, and problem-solving skills.
Why Join Us?
- Work on impactful AI projects with real business applications.
- Mentorship from experienced AI engineers.
- Growth-oriented environment with continuous learning opportunities.
- Freedom to research, experiment, and bring your own ideas to life.
When you join Klizer, you're not just taking on a job—you're involved in a community of innovation, growth, and influence. It's our commitment to advanced technologies, opportunities for personal development, and our culture that makes Klizer a place where talent flourishes.
We can Be Your Future Team!
Do you have some questions or want to secure your candidature for open positions? It’s time to share that information with us.
Enterprise eCommerce solutions for B2B Industries
1005 West 41st Street
Suite 201, Austin, TX 78756
- info@klizer.com
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1005 West 41st Street
Suite 201, Austin, TX 78756
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© Copyright 2026 Klizer. All Rights Reserved
Enterprise eCommerce Solutions for B2B Industries
© Copyright 2026 Klizer. All Rights Reserved