AI Lead Consultant-5 at Realign LLC
New York, New York, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Jul, 25

Salary

0.0

Posted On

04 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Azure, Strategy, Edge, Web Development, Computer Science, Spark, Databases, Data Science, Python, Model Development, Aws

Industry

Information Technology/IT

Description

REQUIRED QUALIFICATIONS

  • Bachelor’s, Master’s, or Ph.D. in Computer Science, AI, Data Science, or related field.
  • 8+ years of experience in AI/ML model development, deployment, and strategy.
  • Proficiency in Python, TensorFlow, PyTorch, Hugging Face, and ML frameworks.
  • Hands-on experience with cloud AI services (AWS, Azure, GCP) and MLOps practices.
  • Strong understanding of data pipelines, big data tools (Spark, Kafka), and databases.
  • Proven experience in AI consulting, client management, and stakeholder communication.
  • Knowledge of ethical AI, bias mitigation, and responsible AI practices.

PREFERRED QUALIFICATIONS

  • Experience in generative AI, LLMs, and knowledge graphs.
  • Familiarity with AutoML, federated learning, and edge AI deployments.
  • Prior experience in AI strategy consulting or advisory roles.

REQUIRED SKILLS

Graphic Design Consultant Web Development & Analytics Consultan

Responsibilities

ABOUT THE ROLE

We are seeking an experienced AI Lead Consultant to spearhead AI-driven solutions, strategy, and implementation for enterprise clients. The ideal candidate will have deep expertise in machine learning (ML), deep learning, NLP, and AI architectures, coupled with a strong consulting background to drive business impact through AI innovations.

KEY RESPONSIBILITIES

  • Lead end-to-end AI strategy development and execution for enterprise clients.
  • Design and implement AI/ML models for real-world applications, including NLP, Computer Vision, and Predictive Analytics.
  • Work closely with stakeholders, data scientists, and engineers to translate business problems into AI solutions.
  • Develop AI roadmaps, feasibility studies, and proof-of-concepts (PoCs) to drive adoption.
  • Optimize AI models for scalability, efficiency, and business impact.
  • Provide technical leadership in MLOps, cloud-based AI solutions, and data engineering best practices.
  • Stay updated on emerging AI trends, frameworks, and regulatory policies to ensure compliance.
  • Mentor and guide AI teams, fostering innovation and technical excellence.
Loading...