gravity9

Senior AI/ML Engineer

Rol remoto de AI Engineering con fit claro de ubicación del candidato.

Publicado21 jun 2026

Países elegibles2 países aceptados

Señal de senioritySenior

Modelo de trabajoRemoto

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Reino UnidoEstados Unidos

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Actualidad de la fuente21 jun 2026

Fit de ubicación2 países aceptados

Match de stackAWS, Azure

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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.

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).

Certification as an Azure AI Engineer Associate or equivalent credentials is highly advantageous.
AWS Professional Certifications.
Experience with ML/DL frameworks like TensorFlow, Keras, PyTorch, and scikit-learn.
Experience with C# or Java, node.js.
Knowledge in MLOps, encompassing the ML applications development lifecycle and toolsets.
Robust software engineering background, with a track record of leading agile teams and expedited delivery of complex projects.
Leadership experience.

Customer Focus – passion for understanding the problem we are trying to solve with software and to advocate solutions to your client.
Delivery focus - strong analysis and problem-solving skills. Ability to evaluate, design and implement effective solutions. Flexibility to adapt skills to a spectrum of client engagements, use cases and modes of change delivery.
Exemplary standards of personal integrity and respect for others – professional approach to all aspects of client engagement and collaborative team working, able to quickly build relationships based on trust and transparency. Strong presentation and written and verbal communication are essential given the client facing nature of the role.
Value driven - Creative thinking, with aptitude for innovation and strong desire to exceed client expectations.
Energy – positive attitude and determination to learn and succeed.

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