Machine Learning Engineer

We’re looking for a Mid-to-Senior Machine Learning Engineer who thrives at the intersection of innovation and execution. If you’re someone who has worked with Generative AI , RAG , or similar technologies—and you’re ready to push boundaries—this is your moment to lead transformative projects.

What You’ll Do:

✅ Build Intelligent Systems : Design and deploy machine learning models that solve real-world problems—whether it’s generating content, enhancing search, or automating workflows.

✅ Work with GenAI & RAG : Leverage Generative AI and Retrieval-Augmented Generation to create smarter, more context-aware systems.

✅ Optimize & Scale : Fine-tune models for performance, scalability, and efficiency in production environments.

✅ Collaborate Across Teams : Partner with data scientists, engineers, and product managers to deliver impactful solutions.

✅ Stay Ahead of the Curve : Experiment with emerging tools, frameworks, and techniques to keep us at the forefront of AI innovation.

Who You Are:

✅ ML Expertise : 3+ years of experience in machine learning, with hands-on work in GenAI, RAG, NLP, or related fields.

✅ Tech Proficiency : Skilled in Python, TensorFlow, PyTorch, Hugging Face, or similar frameworks.

✅ Problem Solver : You don’t just build models—you think about how they integrate into products and solve user needs.

✅ Data-Driven Mindset : Comfortable working with large datasets, pipelines, and cloud platforms like AWS, GCP, or Azure.

✅ Curious Innovator : Passionate about staying ahead of AI trends and exploring new possibilities.

Why Join Us?

Because this isn’t just another ML role—it’s a chance to shape the future of AI. At Insignia , you’ll have the freedom to experiment, the tools to innovate, and the support to grow. Whether you’re fine-tuning a GenAI model or scaling a RAG pipeline, your work will directly impact the products we build and the industries we transform.