Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4331580577&distance=25.0&f_AL=true&f_TPR=r10000&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&start=25 Job Description: AI/ML Engineer/ Gen AI Engineer Intellectt Inc · New Jersey, United States (Remote) Easy Apply Save Save AI/ML Engineer/ Gen AI Engineer at Intellectt Inc Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 Meet the hiring team Bhanu chowdary 3rd Talent Acquisition Specialist at Intellectt.Inc Job poster Message About the job Role: AI/ML Engineer Location: Remote Position Overview The candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven solutions to support healthcare analytics, improve operational efficiency, and drive business insights. This role requires strong expertise in machine learning, data engineering, cloud platforms, and end-to-end model lifecycle management. Key Responsibilities Develop and implement scalable machine learning models for predictive analytics, classification, NLP, and optimization use cases. Work closely with data engineers and analysts to gather requirements, understand business problems, and translate them into ML solutions. Perform data preprocessing, feature engineering, model tuning, and validation. Build reusable ML pipelines and automate workflows through MLOps frameworks. Deploy models into production using cloud-native services (Azure, AWS, or GCP). Monitor and optimize model performance and ensure long-term model stability. Collaborate cross-functionally with product, engineering, and business stakeholders within Optum. Document solution designs, model behavior, and deployment architecture. Mandatory Skills Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow / PyTorch). Experience building ML models end-to-end, including training, validation, deployment, and monitoring. Hands-on experience with NLP, LLMs, or generative AI technologies (Hugging Face, LangChain preferred). Knowledge of cloud platforms such as Azure, AWS, or GCP (Optum widely uses Azure & GCP). Familiarity with MLOps tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or Azure ML Studio.