Demo

Senior Lead Data Scientist / ML Engineer

Elvis Eckardt Recruitment & Sales Solutions Limited
Santa Clara, CA Full Time
POSTED ON 3/10/2025
AVAILABLE BEFORE 6/8/2025

Role :  Senior Lead Data Scientist / ML Engineer

Location :  Chicago, Dallas, Atlanta, New York, Santa Clara (Hybrid / Remote with Travel

Job Type :  Full-Time

Experience Required :  12 - 18 years

Travel :     Required (based on location)

Relocation Support :  Provided

Interview Process :   5 rounds (2 Technical, 2 Leadership, 1 Sales)

Reporting to :   Associate VP – AI & Analytics Sales

We are looking for an  experienced Senior Lead Data Scientist / ML Engineer  with  strong pre-sales expertise, leadership abilities, and technical proficiency  in  machine learning, AI, neural networks, and deep learning technologies . This role requires a  blend of thought leadership, technical depth, and client engagement .

The ideal candidate will  drive AI / ML solutions, collaborate with sales teams, and lead a team to build and deploy innovative AI models .

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.
  • 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 management
  • Nice 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.
  • 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 .
  • Additional 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.
  • Application Process :

    Please submit your resume and a cover letter detailing your experience and qualifications.

    Equal Opportunity Employer :   We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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