Top AI & Machine Learning Jobs

Develop statistically effective algorithms and apply machine learning, hypothesis testing, data mining, and retrieval techniques to analyze complex datasets. Identify trends, create visualizations, communicate findings to clients and stakeholders, and evaluate emerging datasets and technologies. The role requires collaboration across consulting and analytics teams, with opportunities to build scalable solutions using generative AI, deep learning, big data, and cloud technologies.

Leads client-facing AI and digital transformation engagements from strategy through implementation and adoption. Manages cross-functional teams building enterprise Generative AI, Agentic AI, machine learning, and analytics solutions. Advises senior stakeholders, develops client relationships, supports business development, manages budgets and vendors, ensures engineering and architecture quality, hires and mentors talent, and drives AI scaling initiatives across consulting engagements.

Leads the architecture, delivery, and evolution of scalable AI platforms and GenAI services. Manages and mentors engineering teams, oversees backend development using Python frameworks, guides LLM integrations and agentic workflows, establishes engineering standards, and owns technical delivery across multiple services. Partners with Product, AI/ML, DevOps, Data Engineering, and Consulting teams while ensuring production reliability, observability, security, and long-term platform sustainability.

Develop advanced data science algorithms, apply statistical and machine learning techniques to large datasets, evaluate emerging data technologies, and build scalable generative AI and deep learning solutions. Collaborate with clients and engineering teams to communicate findings, deploy models into production, and maintain reliable workflows using software engineering best practices.

Lead advanced data science and numerical optimization projects using large, unstructured datasets. Develop computationally efficient analytic solutions, collaborate with engineering teams on deployment, evaluate emerging technologies, build scalable analytic assets, communicate findings to clients, contribute to research and publications, and manage project teams.

Develops advanced analytics and machine learning models for client business challenges, particularly using pharmaceutical and healthcare data. Translates complex analyses into actionable business recommendations, communicates findings to clients, manages analytical workstreams, supports project milestones, builds client relationships, and mentors junior team members.

Design, develop, and deploy scalable LLM applications and pipelines using RAG, agentic workflows, and parameter-efficient fine-tuning. Own architecture, software development lifecycle, cloud infrastructure, governance, responsible AI guardrails, DevOps automation, testing, and deployment. Collaborate with cross-functional teams, translate business needs into technical requirements, conduct code reviews, and ensure reliable production systems using AWS, Azure, and Databricks.

Design and develop scalable software systems and production LLM solutions using RAG, agentic workflows, PEFT, and guardrails. Own architecture, technical execution, SDLC activities, cloud and Databricks governance, DevOps automation, testing, deployment, and system reliability. Collaborate with cross-functional teams, conduct code reviews, translate business requirements, and guide software design. The role is client-facing and follows a hybrid work model with travel as needed.

Develop advanced statistical and machine learning algorithms, analyze large and complex datasets, identify trends, create scalable analytical solutions, evaluate emerging technologies, support research and publications, collaborate with clients, and mentor associate team members.

Develop advanced statistical and machine-learning algorithms, analyze high-dimensional and big data, identify trends, and create analytical insights for clients. Collaborate with stakeholders, evaluate emerging datasets and technologies, build scalable analytical assets, support research and publications, and mentor associate team members. The role also involves client interaction, project proposal development, team leadership, and agile project planning.