Sr. AI Engineer (Data Scientist)

Position - Sr. AI Engineer (Data Scientist) Location - New Jersey - United States Duration - Full-time Job Summary We are seeking an experienced Senior AI Engineer (Data Scientist) to design, develop, and deploy advanced AI and machine learning solutions that address complex business challenges.

The ideal candidate will have strong expertise in data science, machine learning, statistical modeling, and AI engineering, with hands-on experience building scalable, production-ready AI solutions.

The candidate will collaborate with cross-functional teams, including data engineers, software engineers, business stakeholders, and product teams, to transform business requirements and large datasets into actionable insights and intelligent applications.

Key Responsibilities

• Design, develop, train, and deploy machine learning and AI models to solve complex business problems.
• Apply statistical analysis, predictive modeling, classification, regression, clustering, and other advanced analytical techniques.
• Develop end-to-end data science solutions, from data collection and preprocessing to model development, evaluation, deployment, and monitoring.
• Build and optimize AI-powered applications using Python and relevant machine learning and deep learning frameworks.
• Work with structured and unstructured data to identify patterns, trends, and business insights.
• Develop and implement solutions using Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), where applicable.
• Design and implement prompt engineering, model evaluation, and optimization techniques for AI applications.
• Collaborate with data engineering teams to build reliable data pipelines and prepare high-quality datasets for model training and inference.
• Implement MLOps practices for model versioning, deployment, monitoring, retraining, and lifecycle management.
• Evaluate model performance using appropriate metrics and continuously improve accuracy, scalability, reliability, and efficiency.
• Ensure AI solutions follow security, privacy, responsible AI, and governance standards.
• Communicate technical findings, model performance, and business recommendations to technical and non-technical stakeholders.
• Stay current with emerging AI technologies, research, frameworks, and industry best practices.
• Required Skills and Qualifications 8+ years of experience in data science, machine learning, AI engineering, or a closely related field.
• Strong programming skills in Python , including libraries such as NumPy, Pandas, and Scikit-learn.
• Strong foundation in statistics, probability, linear algebra, optimization, and machine learning algorithms.
• Hands-on experience developing and deploying machine learning models in production environments.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Strong SQL skills and experience working with large datasets, data preparation, feature engineering, and exploratory data analysis.
• Experience with model evaluation, hyperparameter tuning, experimentation, and performance optimization.
• Knowledge of cloud-based AI/ML platforms such as AWS, Microsoft Azure, or Google Cloud.
• Experience with model deployment, REST APIs, Docker, Kubernetes, or similar production technologies.
• Familiarity with version control, CI/CD, model monitoring, and MLOps workflows.
• Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience with Generative AI, LLMs, RAG architectures, vector databases, and embedding models.
• Familiarity with frameworks such as LangChain, LlamaIndex, or equivalent AI orchestration tools.
• Experience with LLM evaluation, fine-tuning, model serving, and inference optimization.
• Knowledge of distributed computing and big data technologies such as Apache Spark.
• Experience with data visualization tools such as Tableau, Power BI, or Python visualization libraries.
• Experience delivering AI solutions in enterprise environments.
• Familiarity with responsible AI, model explainability, bias detection, and data governance.
• Education Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related technical discipline, or equivalent practical experience.
• Ideal Candidate Profile The ideal candidate is a hands-on technical professional who combines strong data science fundamentals with practical AI engineering experience.
• The candidate should be capable of independently solving complex problems, building scalable AI/ML solutions, collaborating with multidisciplinary teams, and translating business requirements into measurable outcomes.