Senior AI/ML Engineer

Job not on LinkedIn

🕒 March 31

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gravity9

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Enterprise

gravity9 is a digital transformation company specialized in modernizing legacy systems by leveraging cutting-edge technologies such as AI, cloud computing, and microservices architecture. They offer solutions to propel organizations into the digital age, enhancing agility, scalability, and competitive advantage. gravity9's approach involves integrating innovative engineering practices to streamline operations, reduce technical debt, and future-proof digital infrastructures. They focus on strategic modernization that not only overcomes legacy constraints but also empowers businesses to thrive in today's dynamic market environment.

📋 Description

• Engage with clients to understand their unique challenges and deliver tailored AI/ML solutions • Design, implement, and maintain scalable, efficient, and robust end-to-end ML/AI systems • Manage the entire ML/AI development lifecycle, including planning, pipeline management, and deployment • Provide technical support to engineering team members, promoting best practices in ML engineering • Collaborate with AI Practice Lead to inform and shape the company's AI strategic direction

🎯 Requirements

• At least 5 years of experience in AI/ML development • Extensive experience in AI/ML development, particularly in NLP, and machine learning domains • Hands-on experience in developing AI applications using LLMs, RAG (Retrieval-Augmented Generation), and particularly agentic AI solutions is essential • Proficiency in designing and maintaining AI/ML solutions that are cost-effective, accurate, and scalable • Exceptional problem-solving skills and the ability to think analytically • Strong communication and interpersonal skills, with the aptitude to navigate complex project requirements with clients and stakeholders • A growth mindset with a commitment to personal and professional development • Excellent command/highly proficient in spoken and written English (working directly with UK/US based clients) • Advanced knowledge of Python specifically for machine learning and data science • Experience with LLM frameworks such as LangChain, LlamaIndex, Semantic Kernel, or AutoGen • Proficiency in cloud services related to ML/AI (e.g., Azure, OpenAI, Hugging Face, AWS, GCP)

🏖️ Benefits

• Salary details to be communicated ahead of the first recruitment meeting

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