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Hallmark Global Technologies Inc Logo
Sr. GenAI Engineer

Hallmark Global Technologies Inc

 

Jersey City, NJ, USA

Posted On: 30+ days ago
Experience: 15+ years
Availability: Hybrid
Openings: 1
Category: GenAI Engineer
Tenure: Contract - Corp-to-Corp
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Description

Responsibilities:

  • Design and develop scalable Gen AI systems to solve complex business problems.
  • Integrate AI into existing applications and workflows to ensure seamless functionality.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Conduct data analysis and preprocessing to prepare datasets for model training and evaluation.
  • Monitor and optimize model performance, making adjustments as necessary to improve accuracy and efficiency.
  • Stay up to date with the latest advancements in AI and ML technologies and methodologies.
  • Document processes, models, and best practices to facilitate knowledge sharing within the team.
  • Provide technical guidance and mentorship to junior engineers and team members.

Mandatory Skills:

  • Strong knowledge of NLP, LLM app development, and Agentic Design.
  • Experience of developing multi-modal RAG systems for enterprise solutions.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of data structures, algorithms, and software engineering principles.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying ML models.
  • Ability to work with large datasets and perform data manipulation and analysis.

Preferred Skills:

  • Experience with deep learning techniques and neural networks.
  • Familiarity with DevOps practices and tools for continuous integration and deployment.
  • Experience in Agile methodologies and working in collaborative team environments.
  • Strong problem-solving skills and the ability to think critically under pressure.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Proven track record of successful AI/ML project implementations.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Education

Bachelor's or Master's degrees

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