
Senior Machine Learning Engineer
14 hours ago
We are looking for a highly motivated AI Specialist to join our team in designing, building, and deploying AI solutions across NLP, Generative AI, and Intelligent Networking.
The successful candidate will have strong technical depth and a startup mindset, contributing to product roadmaps, client discussions, and shaping the future of AI solutions.
- Design and Training: Design, train, and fine-tune models (NLP, LLMs, multimodal, RL).
- Model Optimization: Optimize deep neural networks and transformer architectures (e.g., GPT, Gemini, LLaMA etc.).
- Deployment: Deploy and scale models via Docker/Kubernetes, REST/gRPC APIs.
The ideal candidate will preprocess and clean structured/unstructured data for production, build robust pipelines (Airflow, Spark, or custom ETL), and implement advanced feature extraction and dimensionality reduction.
Research & InnovationThe role involves staying on top of AI trends (GenAI, RAG, multimodal learning, prompt engineering), experimenting and bringing forward practical innovations to products, and documenting learnings via internal knowledge bases, blogs, or POCs.
Collaboration & GrowthYou will work closely with product owners, researchers, engineers, and client-facing teams, take ownership of technical discussions with clients when needed, and mentor junior engineers as the team scales.
This role offers impact, growth, exposure to cutting-edge frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, VertexAI and similar), and ownership with career progression into lead/architect roles within a collaborative and character-first environment where initiative and curiosity are celebrated.
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