Job Tittle - I/ML Engineers
Visa - USA & GC
Location - Jersey City or Boston or McLean, VA (Hybrid 3 days/week) - MUST BE LOCAL TO EITHER LOCATION - NO RELO
Rate - $50-64/hr on W2
Project Duration - 6+ Months
Exp. - 9+ Year
End Client - CN
JD:Job Description: Summary: We're seeking a passionate, hands-on AI/ML Engineer to join our team where you'll play a pivotal role in spearheading AI initiatives. 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.
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.
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) for model inferencing
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.
Qualifications - Bachelor's or Master's degree in computer science, Statistics, Data Science, or a related field.
- 6+ years of experience in Machine Learning and Data Science.
- Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, 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 in building Asynchronous Python APIs.
- 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.
- Passion for learning and staying up-to-date with the latest advancements in AI field