Job description

Role – AI/ML Engineer Location – Jersey City or Boston or McLean, VA (Hybrid) Duration – Long term contract(W2 Contract) Interview - WebEx/Video Interview End Client - DTCC 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

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