26 Job openings found

Senior NLP Data Scientist   Job Summary: Client is seeking a highly skilled and experienced Senior NLP data scientist with expertise in large language models (LLM) and prompt engineering techniques. The ideal candidate will have a minimum of 3-4 years of experience in classic NLP techniques and LLMs, as well as ...

We are looking for a Junior AI Developer to join our AI team. This role is ideal for someone with 1–2 years of experience who has worked with AI tools and frameworks, and is eager to grow into a full-stack AI engineer. You will support the development of AI chatbots, ...

We’re looking for an AI/ML Engineer with hands-on expertise in LLMs, Agentic AI, NLP and some Computer Vision. You’ll build scalable AI solutions using transformer-based models, LLM-powered chat systems, and vector databases, primarily in Python. A research-driven, proactive mindset is highly valued.What you’ll do: Build and optimize document classification & information extraction pipelines Build Agentic AI for FinTech usacases Train/fine-tune NLP models (Transformers/LLMs) for classification tasks Implement LLM ...

Responsibilities:● Develop and refine machine learning models, including NLP,classification, decision trees, and XGBoost, to enhance businessdecision-making processes.● Design and deploy generative AI models, LLMs, SLMs, and chatbotsto automate and optimize customer interactions and internalworkflows.● Implement advanced data retrieval and analysis techniques, such asRAG, clustering, summarization, prediction, and keyword/topicextraction. ● Build and ...

Why This Role Matters We’re looking for a Principal Engineer to lead the architecture and execution of our GenAI-powered, self-serve marketing platforms. You will work directly with the CEO to shape, build, and scale products that change how marketers interact with data and AI. This is intrapreneurship in action — not ...

Proficiency with python and the python ML tool kit along with DL frameworks Experience with working on end to end solutions and comfortable with cloud based ML-Ops pipelines Experience fine-tuning deep learning models including LLMs Experience with GPUs and understanding of balancing costs at both training and inference Comfortable in deploying end to end ...