The Offer
- Work within a company with a solid track record of success
- Work alongside & learn from best in class talent
- Leadership Role
The Job
Key Responsibilities :
Pre-Sales & Client Engagement :
Collaborate with sales and business development teams to define AI / ML solutions based on client needs.Lead technical discussions, deliver proof-of-concepts (PoCs), and develop AI strategies for enterprise clients.Present AI / ML capabilities and demonstrate value propositions to prospective customers.Leadership & Team Management :
Guide and mentor a team of data scientists and ML engineers.Implement best practices for ML model design, validation, and deployment.Define strategic AI initiatives aligned with business goals and market trends.Classical Machine Learning & Statistical Modeling :
Develop models using regression, classification, clustering, and ensemble methods.Optimize data pipelines, feature engineering processes, and model selection strategies.Implement model performance monitoring and tuning.Deep Learning & Generative AI :
Work on deep learning models using TensorFlow, PyTorch, and transformer-based architectures.Design and deploy computer vision, NLP, and recommendation systems.Explore generative AI models (GANs, VAEs, transformer architectures) for innovative use cases.Project Execution & MLOps :
Lead end-to-end ML projects – from data exploration to deployment and maintenance.Implement MLOps best practices (CI / CD, containerization, model versioning).Work with DevOps teams to integrate ML solutions into enterprise infrastructure.Stakeholder Management & Communication :
Act as a technical advisor to executive leadership, product managers, and clients.Translate complex AI / ML concepts into business-friendly language.Drive AI adoption and data-driven decision-making within client organizations.Work Arrangement & Travel Requirements :
Hybrid for candidates based in Dallas or Santa Clara.Remote with travel for candidates in Chicago, New York, or Atlanta.Relocation support is available for those moving to the development hubs.Work Arrangement & Travel Requirements
Must be a US Citizen, Green Card Holder, or H1B (willing to transfer to the client).Strong technical and leadership background in enterprise AI / ML solutions.Experience working in large-scale IT services firms is preferred.The Profile
Required Qualifications :
Master’s or PhD in Computer Science, Data Science, Engineering, or a related field (preferred).12 years of industry experience in data science and ML engineering, with 5 years in leadership roles.Pre-Sales : Strong experience in client-facing roles, proposal development, and AI solutioning.Machine Learning : Expertise in supervised & unsupervised learning, feature engineering, and model tuning.Deep Learning : Hands-on experience with CNNs, RNNs, transformers, and generative AI models.Programming : Proficient in Python with experience in AI / ML frameworks like TensorFlow and PyTorch.MLOps & Cloud : Experience in CI / CD pipelines, Docker / Kubernetes, AWS, Azure, or GCP.Proven ability to mentor teams and drive AI / ML strategy.Strong presentation and communication skills for C-level stakeholders.Experience with agile methodologies and multi-project managementNice to Have Qualifications :
Experience in Big Data ecosystems (Spark, Hadoop).Knowledge of DevOps tools (Jenkins, Terraform) for infrastructure automation.Published research or open-source AI contributions.The Employer
Our client is not just your average recruiters or HR professionals.
Our client is a team driven by passion, committed to revolutionizing the way you experience recruitment and HR.
