Accelerating Business Outcomes with AI Solutions
Job Description:
As a Senior AI Consultant, you'll play a pivotal role in delivering cutting-edge AI solutions to clients. You'll lead technical strategy, architecture, and implementation across projects, collaborating closely with cross-functional teams to ensure alignment with business goals.
You're a natural leader who thrives on solving complex problems and delivering high-quality, production-ready AI systems – with a strong focus on General AI.
At our organization, you're not just delivering work – you're contributing to a growing business. You'll mentor junior team members, help create reusable assets, and drive technical excellence across the board.
You're passionate about AI, stay up-to-date with the latest developments, and love sharing your knowledge with the wider community – whether through content, meet-ups, or internal sessions.
Required Skills and Qualifications:
* Experience in Data Science, Machine Learning, or Applied AI, including 2+ years in General AI-focused initiatives
* Proven experience delivering production-grade AI solutions in enterprise environments, particularly General AI use cases (LLMs, transformers, embeddings, fine-tuning)
* Strong Python skills with hands-on experience across LLM APIs (OpenAI, Anthropic, Gemini), agent frameworks (CrewAI, AutoGen, Semantic Kernel), and core ML/DL libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
* Experience building and deploying LLM applications, with knowledge of fine-tuning techniques and optimizing inference performance (CPU/GPU, CUDA, containerization, Kubernetes)
* Solid understanding of LLMOps: prompt management, model pipelines, evaluation metrics, versioning, and rollback strategies
* Exposure to Agentic AI systems – designing agent workflows, integrating tools/APIs, and deploying agents to production
* Hands-on experience with cloud platforms: AWS (Lambda, SageMaker, Bedrock, etc.), with some exposure to GCP or Azure
* Experience working with unstructured data (text, image, video, audio) for ML applications
* Familiarity with data engineering tools: SQL, Spark, Airflow, ETL/ELT pipelines
Benefits:
1. Competitive Salary package
2. Pick your equipment
3. Gifted Day Off (