Innovation Team

Innovation Team

Innovation Team provides specialized IT consulting services designed to enhance business performance and operational efficiency across various industries, leveraging a dedicated team of professionals and strategic partnerships to deliver timely and eff...

Internet Software & Services
51-250
Founded 2009

Description

  • Design, develop, and optimize generative AI solutions, including LLMs, RAG systems, and AI agents.
  • Fine-tune, evaluate, and deploy large language models for enterprise use cases.
  • Build and maintain end-to-end AI pipelines from data ingestion to inference.
  • Implement retrieval-augmented generation solutions using vector databases and knowledge stores.
  • Integrate GenAI solutions with existing systems through APIs and microservices.
  • Optimize model performance, latency, and cost across cloud platforms such as OCI, AWS, Azure, or GCP.
  • Collaborate with product, data, and engineering teams to translate business needs into AI solutions.
  • Ensure AI solutions follow best practices in security, governance, and responsible AI.
  • Stay current with developments in generative AI, LLMs, and AI tooling.

Requirements

  • Minimum 5 years of professional experience in AI / Machine Learning.
  • Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
  • Proficiency in programming languages such as Python, Java, and Ruby.
  • Strong experience with large language models such as GPT, LLaMA, and Mistral.
  • Hands-on experience with Python and AI/ML frameworks such as PyTorch and TensorFlow.
  • Solid understanding of NLP, deep learning, and transformer architectures.
  • Experience with RAG architectures and vector databases such as FAISS, OpenSearch, and Pinecone.
  • Strong software engineering skills with APIs, REST, microservices, Docker, and Kubernetes.
  • Experience deploying AI workloads on cloud platforms, with OCI preferred.
  • Excellent problem-solving and analytical skills.
  • Excellent command of English, both written and spoken.
  • Experience with GPU-based training and inference is preferred.
  • Familiarity with MLOps / LLMOps practices is preferred.
  • Experience in regulated or enterprise environments is preferred.
  • Knowledge of AI governance, ethics, and compliance frameworks is preferred.

Benefits

  • Opportunity to work on cutting-edge Generative AI projects.
  • Collaborative, innovation-driven environment.
  • Competitive compensation package.
  • Access to modern AI infrastructure and cloud resources.
  • Professional growth and learning opportunities.
  • Flexible and inclusive work environment.

Interested in this position?

Apply directly on the company website

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