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Senior consultant - AI
We are open to Singaporean & Singapore PR only.
Responsibilities:
• Define and help with AI strategy and architecture
• Lead the design and implementation of AI platform and use cases
• Drive MLOps strategy across the machine learning lifecycle (development to monitoring)
• Lead a team, mentor and support junior team members (data scientists, AI engineers etc)
Skills and qualifications :
• Minimum 8-10 years of overall experience. At least 2-3 years of experience in machine learning and AI, with a strong delivery record.
• A degree (bachelors/masters) in computer science, data science, or a related quantitative field
• Expertise in coding in Python, Java, or C++ and MLOps tools
• Experience working with LLMs and fine tuning of locally hosted models
• Strong technical, analytical, troubleshooting, and problem-solving skills.
• Flexible and creative thinker with the ability to define business trade-offs .
• Strong quantitative skills with a data first mindset. Ability to use data and metrics to back up assumptions, recommendations, and drive actions.
• A proven track record of success in fast-paced environments with demanding timelines.
Job ID: 152389233
Skills:
MLops, Digital Transformation, Data Governance, LLMs, Ai, Data
Skills:
data engineering , snowflake , Ml, Alteryx, Power Bi, Rpa, Tableau, Sql, Databricks, Python, generative AI, Ai, workflow automation, RAG
Skills:
S3, Machine Learning, RDS, Cloudformation, Vpc, Lambda, Ec2, Terraform, Iam, Python, AWS, Generative AI, Agentic AI
Skills:
Machine Learning, Collibra, Power Bi, Tableau, Sql, Data Quality, Nlp, Spark, Databricks, Data Governance, Data Analytics, Azure, Python, AWS, LangChain, Airflow, Generative AI, LLMs, RAG, Streamlit
Skills:
Networking, Microservices, cloud, Cloud Computing, Databases, Operating Systems, Cybersecurity, agentic AI, multi-agent orchestration, digital trust, physical AI systems, workflow automation, Robotics, enterprise-level software development, LLMs, generative AI, data platforms, retrieval-augmented generation, Ai, system architecture design, human-machine interaction, Security Protocols, embodied AI, multimodal models, autonomous agents