MLAI Engineer

Position: Ml/AI Engineer

Location: Jersey City NJ (Hybrid3x a week)

Duration: 6Month Contract

Job Description:

Must have:
Machine Learning

Next GEN AI RAG LLM
Cloud AWS AZURE GCP
Python
Model Development

Job Description:
Responsibilities:

Generative AI Application Development

• Develop and implement AI solutions such as RetrievalAugmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and finetuning of Large Language Models (LLMs).
• Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.
• Collaborate with crossfunctional teams to integrate AI solutions into existing systems and workflows enhancing overall efficiency and capabilities.

Model Development and Deployment

• Design and develop machine learning models and algorithms to address business challenges and improve product features.
• Deploy machine learning models in production environments to ensure scalability and efficiency.
• Optimize and refine models based on performance metrics and feedback.

Data Management

• Collect clean and preprocess data from various sources to create robust datasets for training and evaluation.
• Implement data augmentation and feature engineering techniques to enhance model performance.
• Maintain and manage data pipelines to ensure seamless data flow and integration.

Research and Innovation

• Stay updated with the latest trends and advancements in AI and machine learning technologies.
• Conduct research to explore new methodologies and techniques that can be applied to current and future projects.
• Collaborate with crossfunctional teams to drive innovation and implement cuttingedge solutions.

Collaboration and Communication

• Work closely with software engineers data scientists and product managers to align AI/ML initiatives with business goals.
• Communicate complex technical concepts and results to nontechnical stakeholders in a clear and concise manner.
• Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.

Qualifications

• Bachelors or Masters degree in computer science Statistics Data Science or a related field.
• 6 years of experience in Machine Learning and Data Science.
• Strong understanding of statistical methods data structures and algorithms.
• Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g. Pandas NumPy Matplotlib Seaborn TensorFlow PyTorch scikitlearn LangChain) and LLMs.
• Experience developing and deploying AI solutions on cloud platforms (e.g. AWS Azure or GCP).
• Experience with data visualization tools such as Matplotlib Seaborn or Tableau.
• Familiarity with cloud platforms such as AWS Azure or Google Cloud for deploying AI solutions.
• Proven experience in developing and deploying machine learning models in a production environment.
• Experience working with large datasets and performing data analysis.
• Previous experience in a similar role or industry is preferred.
• Excellent communication and collaboration skills.
• Strong problemsolving skills and analytical thinking
• Passion for learning and staying uptodate with the latest advance