AI/ML Engineer/Data Scientist
AI/ML Engineer/Data Scientist
Posted on :
22-08-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Job Title: AI/ML Engineer
Location: Boston MA
Duration: 6 Months of contract
Summary:
Were seeking a passionate hands-on AI/ML Engineer to join our dynamic Technology Research and Innovation team where youll play a pivotal role in spearheading AI initiatives and innovation. As an AI/ML Engineer you will play a pivotal role in designing developing and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement.
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 programming skills in Python
Experience working with large datasets and performing data analysis.
Experience with Machine Learning Data Visualization and Generative AI libraries and frameworks (e.g. Pandas NumPy Matplotlib Seaborn TensorFlow PyTorch scikit-learn LangChain).
Experience in Prompt Engineering LLM Fine Tuning and evaluation techniques
Proven experience in developing and deploying machine learning models in a production environment.
Strong understanding of Generative AI Retrieval Augmented Generation Agentic AI Workflow Statistical methods data structures and algorithms.
Experience with Snowflake Data Pipelines (stream task UDF) and Cortex features is a plus
Experience with AWS SageMaker Bedrock and the AWS cloud platform for deploying AI solutions.
Experience in building Asynchronous Python APIs for model inference.
Experience with data visualization tools such as Matplotlib Seaborn or Tableau.
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 advancements in AI field
Responsibilities:
Generative AI Application Development
Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic AI 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.
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.
Python API Development
Develop scalable APIs in python (fastApi Apache Gunicorn Uvicorn) for model inferencing
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 cross-functional teams to drive innovation and implement cutting-edge 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 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
Location: Boston MA
Duration: 6 Months of contract
Summary:
Were seeking a passionate hands-on AI/ML Engineer to join our dynamic Technology Research and Innovation team where youll play a pivotal role in spearheading AI initiatives and innovation. As an AI/ML Engineer you will play a pivotal role in designing developing and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement.
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 programming skills in Python
Experience working with large datasets and performing data analysis.
Experience with Machine Learning Data Visualization and Generative AI libraries and frameworks (e.g. Pandas NumPy Matplotlib Seaborn TensorFlow PyTorch scikit-learn LangChain).
Experience in Prompt Engineering LLM Fine Tuning and evaluation techniques
Proven experience in developing and deploying machine learning models in a production environment.
Strong understanding of Generative AI Retrieval Augmented Generation Agentic AI Workflow Statistical methods data structures and algorithms.
Experience with Snowflake Data Pipelines (stream task UDF) and Cortex features is a plus
Experience with AWS SageMaker Bedrock and the AWS cloud platform for deploying AI solutions.
Experience in building Asynchronous Python APIs for model inference.
Experience with data visualization tools such as Matplotlib Seaborn or Tableau.
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 advancements in AI field
Responsibilities:
Generative AI Application Development
Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic AI 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.
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.
Python API Development
Develop scalable APIs in python (fastApi Apache Gunicorn Uvicorn) for model inferencing
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 cross-functional teams to drive innovation and implement cutting-edge 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 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
Employment Type
Full-time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
