
Machine Learning Architect
1 day ago
We are seeking an experienced professional to lead the development of agentic AI workflows, fine-tune Large Language Models (LLMs), and apply related generative AI techniques.
Key Responsibilities:- Design, develop, and optimize domain adaptive agentic AI systems that automate business processes.
- Fine-tune large-scale pre-trained models with techniques like PEFT, SFT, and adapt them for specific applications and domains.
- Develop prompts using Chain of Thought, Few Shot, and other techniques to enhance model responses and ensure they align with use case requirements.
- Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
- Collaborate with cross-functional teams to define AI product requirements and deliver innovative solutions.
- Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields.
- Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
- 5+ years of hands-on experience in machine learning and AI engineering.
- Proven track record in working with LLMs such as Llama, Mistral, and models like GPT, BERT, T5, or similar.
- Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
- Strong experience in prompt engineering to optimize AI models performance.
- Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
- Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData, or similar.
- Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
- Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.
- Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities to collaborate with stakeholders.
- Ability to work independently and drive projects to completion with minimal supervision.
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Machine Learning Research Intern
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Ahmedabad, Gujarat, India Machine Learning Studies Full timeMachine Learning Research InternshipPlease fill out the questionnaire at https://forms.gle/RVkksEicv9Dz86rU8 (You will have to copy-paste the link, apologies for inconvenience)Are you passionate about diving deep into the realms of Machine Learning and Mathematics ? We're seeking enthusiastic interns to join our team for an immersive learning experience....
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