
Senior Artificial Intelligence Expert
Há 5 dias
Develop cutting-edge, end-to-end AI solutions for diverse clients across multiple industries and use cases. Collaborate with cross-functional teams to architect and deliver production-ready AI systems that solve real business problems. Present technical concepts and project outcomes to executive leadership and technical stakeholders.
Key Responsibilities:- Design and implement sophisticated LLM applications using RAG, vector databases, fine-tuning, and agentic workflows;
- Build custom ML models for client-specific challenges including NLP, computer vision, and predictive analytics;
- Independently assess, clean, and engineer features from complex, messy datasets;
- Own the complete data pipeline from ingestion through model training and deployment;
- Lead technical discovery sessions and solution architecture discussions with client stakeholders;
- Mentor junior engineers and establish AI/ML best practices across client engagements.
- 5+ years of professional software development experience with strong fundamentals;
- 5+ years deploying production machine learning systems at scale;
- 3+ years of hands-on experience with LLMs, including API integration and local deployment;
- Strong data engineering and data science expertise—you can work with raw, unstructured data and transform it into ML-ready datasets;
- Proficiency with data manipulation tools: pandas, NumPy, SQL, and big data frameworks (Spark, Dask);
- Expert-level Python proficiency with deep knowledge of ML frameworks (PyTorch, TensorFlow, Hugging Face);
- Proven experience with modern AI techniques: RAG, vector search, prompt engineering, and agentic systems;
- Strong cloud platform expertise (AWS, GCP, Azure) with containerization and orchestration experience;
- Experience building scalable microservices, APIs, and ML inference pipelines;
- Demonstrated ability to work independently and manage complex projects end-to-end with minimal oversight;
- Exceptional communication skills with experience presenting to senior leadership;
- Consulting mindset with ability to understand business requirements and translate them into technical solutions.
- Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps;
- Competitive compensation packages that match your ever-growing skills and talent;
- A selection of exciting projects with modern solutions development and top-tier clients;
- Flextime options for an optimal work-life balance.
- Previous consulting or client-facing engineering experience;
- Experience across multiple industries (fintech, healthcare, e-commerce, etc.);
- Advanced statistical analysis and experimentation design experience;
- Experience with streaming data platforms and real-time ML systems;
- Contributions to open-source AI/ML projects or technical publications;
- Experience with MLOps, model monitoring, and deployment automation;
- Background in data engineering and large-scale data processing;
- Advanced degrees in Computer Science, AI/ML, or related technical fields.
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