Machine Learning Specialist for Automation
2 days ago
We are a leading provider of AI solutions, focused on developing Agentic AI applications using Generative AI. Our mission is to create intelligent, autonomous agents that assist with specific workflows. As a talented Machine Learning Engineer, you will play a key role in driving the development of our AI systems.
Job Overview:
In this position, you will be responsible for designing and deploying advanced machine learning models that power our agentic AI applications. You will work closely with our development team to ensure our AI systems are scalable, efficient, and continuously improving. The ideal candidate should have a strong background in machine learning, a passion for innovation, and excellent problem-solving skills.
Main Responsibilities:
- Design, develop, and deploy Generative AI models to support intelligent document automation and agent-based workflows.
- Work on agentic AI applications, enabling AI systems to take autonomous actions based on contextual understanding.
- Optimize and fine-tune large language models (LLMs).
- Build and maintain ML pipelines, ensuring high performance, scalability, and reliability.
- Collaborate with cross-functional teams to integrate AI solutions into our platform, making it seamless for users.
- Stay ahead of cutting-edge AI advancements, quickly prototyping and implementing novel solutions.
- Develop robust evaluation metrics to assess the effectiveness of generative models and agent-based AI solutions.
Key Qualifications:
- Degree in Computer Science, Mathematics, AI, or a related technical field.
- 5+ years of experience in Machine Learning, with a recent focus on generative AI and autonomous agents.
- Strong knowledge of deep learning frameworks like PyTorch or TensorFlow.
- Experience working with LLMs (e.g., OpenAI, Claude, Mistral, Llama) and diffusion models.
- Proficiency in Python and experience with agentic libraries like Langraph, AutoGen, LlamaIndex, Crew AI, etc
- Familiarity with RAG, embeddings, and vector databases like FAISS, Pinecone, or Weaviate.
- Understanding of fine-tuning LLMs, prompt engineering, and reinforcement learning techniques.
- Experience in building AI-driven applications with APIs, cloud platforms, and microservices architectures.
- Ability to work independently and solve open-ended, ambiguous problems.
Benefits:
- Competitive salary and benefits package.
- Opportunity to work with a leading provider of AI solutions.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Our Culture:
We value innovation, collaboration, and excellence in everything we do. Our team is passionate about creating cutting-edge AI solutions that make a real difference in people's lives. If you share our values and are looking for a challenging and rewarding career opportunity, we encourage you to apply.
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