What are the responsibilities and job description for the AI/ML Engineer/Data Scientist position at Sharp Decisions?
GENERATIVE AI- MACHINE LEARNING DATA SCIENTIST
CONTRACT TO HIRE
JERSEY CITY (HYBRID ON-SITE)
W2 ONLY (NO 3RD PARTIES PLEASE)
Responsibilities:
Generative AI Application Development
CONTRACT TO HIRE
JERSEY CITY (HYBRID ON-SITE)
W2 ONLY (NO 3RD PARTIES PLEASE)
Responsibilities:
Generative AI Application Development
- Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning 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 cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.
- 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.
- 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.
- 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 cross-functional teams to drive innovation and implement cutting-edge solutions.
- 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 non-technical stakeholders in a clear and concise manner.
- Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.
- 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, scikit-learn, 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 problem-solving skills and analytical thinking
- Passion for learning and staying up-to-date with the latest advance
