6 Ml Engineer Jobs

Optum AI is UnitedHealth Groups enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone. Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development. Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the worlds top universities. OptumAI is looking for a Senior Machine Learning Engineer with deep subject matter expertise in text processing, NLU and SLU (Natural language understanding and Spoken Language Understanding) who will be part of a team leading the technical development and inventions that allow Optum machine learning products drive positive impact in the healthcare business. Your expertise will bring business and industry context to science and technology decisions. As part of the OptumAI AI/ML engineering group, you set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your code, designs and documents are exemplary and are used as references across the organization. A successful candidate is a hands-on AI/ML engineering expert that will tackle intrinsically hard problems, acquiring expertise as needed. The candidate will help decompose complex problems into straightforward solutions. Primary Responsibilities: Help design and develop the next generation of NLP, ML & AI products, and services for healthcare Develop machine learning and deep learning models and systems in domains including, but not limited to: NLP, NLU, NLG, SLU and multidimensional time series forecasting among others Exposure in RAG, LangChain, VectorDBs Ability to Quantize, Optimize GenAI models Manage NLP & ML models lifecycle for a suite of products Run large complex proof-of-concepts for the healthcare business Manage prioritization and technology work for building NLP, ML & AI solutions Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome Work with a great deal of autonomy to find solutions to complex problems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Graduate degree in applicable area of expertise or equivalent experience Experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully Skill Set; NLP, NLU, NLI Architecture: Transformers, Attention Models: GPT, Llama, Mistral Model Quantization Model Optimization Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing and presentation skills Experience in the health care industry Preferred Qualification: Experience in the health care industry

Prescience Decision Solutions is looking for ML Engineer to join our dynamic team and embark on a rewarding career journey. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services. The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis. Responsibilities : Problem Definition : Collaborate with cross - functional teams to define and understand business problems suitable for machine learning solutions. Translate business requirements into machine learning objectives. Data Exploration and Preparation : Analyze and preprocess large datasets to extract relevant features for model training. Address data quality issues and ensure data readiness for machine learning tasks. Model Development : Develop and implement machine learning models using state - of - the - art algorithms. Experiment with different models and approaches to achieve optimal performance. Training and Evaluation : Train machine learning models on diverse datasets and fine - tune hyperparameters. Evaluate model performance using appropriate metrics and iterate on improvements. Deployment : Deploy machine learning models into production environments. Collaborate with DevOps and IT teams to ensure smooth integration. Monitoring and Maintenance : Implement monitoring systems to track model performance in real - time. Regularly update and retrain models to adapt to evolving data patterns. Documentation : Document the entire machine learning development pipeline, from data preprocessing to model deployment. Create user guides and documentation for end - users and stakeholders. Collaboration : Collaborate with data scientists, software engineers, and domain experts to achieve project goals. Participate in cross - functional team meetings and knowledge - sharing sessions.

Job role & responsibilities:- Collaborate with different teams to propose AI solutions on different use cases across the insurance value chain, with a focus on AIops and MLOps Research, build, and deploy AI models as part of the broader AI team, leveraging AIops and MLOps practices for efficient model management Contribute to our DevOps practices using OpenShift or Azure ML DevOps Technical Skills, Experience & Qualification required:- Expertise is required in the following fields: 6-9 years of progressive experience in AI and ML, with a focus on AIops and MLOps Experience in ML Flow or Cube Flow or Airflow, ML Ops, more in to production deployment Experience in deploying and managing AI models in production environments using Azure ML DevOps or OpenShift Implementation of at least 5 AI projects, preferably with experience in AIops and MLOps Experience with Azure, OpenShift, MLFlow DevOps for model deployment, monitoring, and management Setting up CI/CD pipelines using Azure DevOps, Jenkins, etc. Hands-on experience with Generative AI tech LLMs, RAG, Prompt Engineering Broad understanding of machine learning algorithms and techniques, including LLMs/SLMs, CNNs) RNNs, transformers, and attention mechanisms Immediate Joiners will be preferred

Role & responsibilities Data Scientist /ML engineers : ML Engineer with Python, SQL, Machine Learning, Azure

Work closely with the ML Architect to develop on ML frameworks (TensorFlow, Scikit-Learn, Pytorch) Strong background in MLOps practices, including CI/CD, containerization (Docker), Orchestration frameworks (Kubernetes, Airflow)

Dear Candidate Greetings from A2Z HR Consultants !!!!!!!! We are hiring for one of the renowned Web Software company based in Noida Number of working days: 5 Shift Timings: Day Shifts Salary: upto 32 LPA Profile: AI/ ML Engineer Experience Required: Min 5 Years **** Work from Office only Job Summary: Join our forward-thinking team to pioneer cutting-edge AI solutions that transform industries. We seek an AI Expert with 5+ years of experience in Python, machine learning, and large language models (LLMs), paired with robust MLOps expertise. You will architect, optimize, and deploy scalable AI systems, focusing on LLM fine-tuning (e.g., Llama, GPT, Mistral), Retrieval-Augmented Generation (RAG), and production-grade deployment on AWS . If you thrive on solving complex challenges, driving ethical AI innovation, and leading cross-functional teams, this role is for you. Key Responsibilities: Design, develop, and deploy AI/ML models using Python and relevant frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Optimize and fine-tune machine learning algorithms for performance, scalability, and accuracy. Work with large datasets to extract insights, preprocess data, and build predictive models. Develop and integrate AI-powered solutions into applications, including natural language processing (NLP), computer vision, and deep learning systems. Architect, fine-tune, and deploy large language models (LLMs) for various use cases such as chatbots, text generation, summarization, and document understanding. Implement retrieval-augmented generation (RAG) techniques to enhance LLM capabilities. Research and apply model compression techniques such as quantization and distillation to optimize LLM deployment. Leverage embeddings, knowledge graphs, and vector databases for efficient information retrieval and AI-driven insights. Develop robust MLOps/LLMOps pipelines for model versioning, monitoring, and CI/CD integration. Deploy AI models in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML) and optimize inference cost-performance trade-offs. Utilize containerization and orchestration tools such as Docker, Kubernetes, and Kubeflow for scalable AI deployments. Stay updated on the latest AI advancements and integrate emerging technologies into production systems. Ensure AI model interpretability, fairness, and adherence to ethical AI principles. Participate in code reviews, debugging, and troubleshooting of AI models and pipelines. Required Qualifications & Skills: Education: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: 5+ years of hands-on experience in AI, machine learning, or deep learning projects. Programming: Strong proficiency in Python and its AI/ML libraries (NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn, etc.). LLM Expertise: Hands-on experience with LLMs such as OpenAIs GPT, Llama, Mistral, Gemini, PaLM, or similar frameworks. Fine-Tuning & Optimization: Experience fine-tuning LLMs, optimizing for cost-performance balance, and utilizing techniques like LoRA, PEFT, and RLHF. NLP & Deep Learning: Expertise in NLP model training, transformer-based architectures (BERT, T5, GPT, etc.), and model evaluation techniques. MLOps & LLMOps: Experience with model lifecycle management, monitoring, CI/CD pipelines, and cloud-based model deployment. Cloud & Deployment: Proficiency in deploying AI models on Google Cloud (Vertex AI), AWS, or Azure. Containerization & Orchestration: Experience with Docker, Kubernetes, and Kubeflow for AI model deployment. Data Engineering: Knowledge of data preprocessing, feature engineering, and handling large-scale datasets efficiently. Prompt Engineering: Strong understanding of prompt design, embedding generation, and model evaluation metrics for LLMs. Security & Ethics: Familiarity with AI security best practices, data privacy, and responsible AI principles. Interested candidates can reach out at 9711831492 or share your resume at gaurav.a2zhrconsultants@gmail.com Candidates who are already on Notice period or immediately available shall apply only. Regards Gaurav Kumar A2Z HR Consultants 9711831492