6 Job openings found

1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
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 ...
1 Opening(s)
19.0 Year(s) To 20.0 Year(s)
Not Disclosed by Recruiter
The role demands a senior technical leader with deep engineering experience, strong operational capabilities, and practical expertise in AI/ML technologies. As an influencer across product, data, and technical strategy, this leader will play a key role in shaping Dyad’s technology roadmap and building engineering practices that support innovation and operational ...
5 Opening(s)
5.0 Year(s) To 10.0 Year(s)
60.00 LPA TO 70.00 LPA
We are looking for a seasoned Python Developer (AI/ML) to join our team and help build the future of intelligent financial systems. If you are passionate about building scalable data architectures and deploying sophisticated AI Agents that solve real-world problems, we want to talk to you. In this role, you will ...
5 Opening(s)
5.0 Year(s) To 10.0 Year(s)
50.00 LPA TO 60.00 LPA
Senior AI Engineer  Location: Charlotte, NC (4 days 1 day remote) W2 Candidates only Local Nearby Candidates Required     Key Responsibilities Architect and develop AI-driven IVR and conversational systems using Python Build English-Spanish translation systems. Perform data analysis using SQL on large-scale IVR and interaction datasets Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases Lead development of agentic AI ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
- 5-7 years of professional experience in data science, with a proven track record ofdelivering impactful solutions in a business setting.- Strong proficiency in machine learning techniques and algorithms, including supervisedand unsupervised learning, deep learning, and reinforcement learning.- Extensive experience in natural language processing (NLP) techniques and frameworks,such as NLTK, ...
2 Opening(s)
4.0 Year(s) To 8.0 Year(s)
20.00 LPA TO 33.00 LPA
Experience & Skills: 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-Opspipelines Experience fine-tuning deep learning models including LLMs Experience with GPUs and understanding of balancing costs at both training and inference ...

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