principal machine learning engineer

Oracle

<div>At Oracle Health, we are redefining healthcare intelligence through cutting-edge AI and Search technologies. As a Principal Machine Learning Engineer , you will be responsible for designing and operationalizing scalable ML and LLM-powered systems that enhance clinical insights, streamline operations, and power intelligent search experiences across our products.
You will serve as a technical leader , mentoring engineers and data scientists, defining solution architectures, and ensuring end-to-end reliability and performance in ML and Search pipelines.</div>
 <div>Design and implement scalable AI and LLM applications including RAG (Retrieval-Augmented Generation), embeddings, and multi-agent architectures for healthcare data and knowledge systems.
Architect and optimize enterprise Search solutions using OpenSearch (or Elasticsearch), including:
Designing and maintaining Universal Search Documents (USDs) with rich metadata, relevance signals, and domain-specific ranking.
Implementing efficient indexing pipelines and query optimization strategies for structured and unstructured healthcare data.
Tuning search relevance using clickstream and behavioral signals , boosting, and custom scoring.
Building semantic search layers using vector embeddings and hybrid retrieval (BM25 + ANN).
Collaborate with data, engineering, and product teams to integrate Search and ML pipelines seamlessly into production.
Establish and maintain search performance monitoring , relevance evaluation, and A/B experimentation frameworks.
Lead teams in developing responsible, explainable, and secure AI solutions that comply with healthcare data standards and regulations.
Mentor engineers and scientists, fostering technical excellence and innovation.
Contribute to architecture reviews, patents, and thought leadership in AI and Search innovation. 
Required Qualifications
Master&rsquo;s or PhD in Computer Science, Data Science, or related technical field.
8+ years of experience in ML or AI engineering, with at least 2 years of hands-on experience in OpenSearch (or Elasticsearch) .
Proven track record delivering end-to-end AI or search-based applications in production.
Strong proficiency in Python , PyTorch/TensorFlow , and cloud platforms ( OCI, AWS, or Azure ).
Deep understanding of LLMs , RAG pipelines , and embedding-based search .
Experience creating, maintaining, and optimizing Universal Search Documents (USDs) &mdash;including schema design, signals integration, and ranking models.
Strong command of query DSL , aggregation frameworks, and performance optimization for OpenSearch clusters (e.g., sharding, caching, and scaling strategies). 
Preferred Qualifications
Experience integrating LLMs with OpenSearch for semantic and generative retrieval.
Familiarity with vector databases , hybrid retrieval systems , or cross-modal search .
Experience with data pipeline orchestration (Airflow, Prefect, or similar).
Experience leading cross-functional AI/ML programs or search relevance initiatives.
Knowledge of healthcare data systems, interoperability, and compliance frameworks (e.g., HIPAA, FHIR).
Contributions to open-source search or ML communities, or published research in AI/ML.</div>

Software Developer

Micron Technology

<div>Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
At Micron, we transform how the world uses information to enrich life for all. The pace is fast, collaboration occurs on a regular basis, and innovation is expected. As a Staff/Principal Engineer within the STPG Product Engineer team, you will be responsible for architecting and developing machine learning models and agentic workflow solutions.
Key Responsibilities:<ul><li>
Develop Proof-of-concepts (PoC) to assess the feasibility and performance of various AI models and to demonstrate the potential benefits to stakeholders.</li><li>
Perform business analysis, requirement gathering, and solution workflow design for traditional ML/Gen AI projects</li><li>
Design and implement Google ADK/other Gen AI framework solutions and POCs tailored to various teams needs.</li><li>
Collaborate with cross-functional teams, including teams of SMEs, data scientists and data engineers, to drive the AI strategy and implementation with the existing systems and to brainstorm software/AI/ML solutions.</li><li>
Routinely communicate overall project status to leadership and cross functional product team</li></ul>
Qualifications:
Successful candidates for this exciting opportunity will have:<ul><li>
10+ years of hands-on experience in projects that focused on one or more of the following areas: Generative AI, machine learning, ML Ops and/or Predictive Analytics.</li><li>
Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.</li><li>
Experience architecting high-impact AI solutions for diverse projects.</li><li>
Experience working in semiconductor industry is a plus.</li><li>
Hands-on experience in how LLMs work &amp; Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.</li><li>
Experience working with RAG, vector databases, LLM APIs and agentic frameworks.</li><li>
Excellent data analysis, problem solving, and decision-making skills</li><li>
Ability to work independently in a very fast paced environment and adapt to change</li><li>
Self-motivated and enthusiastic in a challenging, dynamic environment</li></ul>
Education:<ul><li>
Position requires a minimum of a Bachelor's degree in Computer Engineering, Electrical or Electronics.</li><li>
Course work in AI/ML, VLSI, semiconductor process is desirable, but not required.</li></ul>
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron&reg; and Crucial&reg; brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities &mdash; from the data center to the intelligent edge and across the client and mobile user experience. 
 
To learn more, please visit micron.com/careers 
 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. 
 
To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.</div>

Staff/Principal Engineer - Data Science/Agentic Frameworks

Radar Hire LLC

If you are interested in the role, please apply through our website: http://careers.usjobfinders.com/p/ed1d8b143d39-machine-learning-engineer-remoteAbout the Role:Radar Hire is seeking a skilled and forward-thinking Machine Learning Engineer to design, develop, and deploy scalable ML models and AI-powered solutions for innovative, data-driven companies. This is a hands-on, engineering-focused role where you&rsquo;ll take ownership of the entire ML lifecycle&mdash;from data ingestion and model training to deployment and monitoring.The ideal candidate is fluent in modern ML frameworks, understands real-world application constraints, and is passionate about solving complex problems using predictive modeling, LLMs, or other machine learning methods.Key Responsibilities<ul><li>Design, build, and train machine learning models for classification, regression, clustering, recommendation systems, or generative tasks</li><li>Work closely with data scientists and engineers to prepare and preprocess datasets for modeling</li><li>Implement and optimize training pipelines for experimentation and version control</li><li>Deploy ML models to production using containerization, CI/CD pipelines, and cloud services</li><li>Monitor performance, retrain models as needed, and ensure system stability post-deployment</li><li>Collaborate with product, engineering, and analytics teams to align models with business goals</li><li>Stay up to date with state-of-the-art ML algorithms, tools, and research</li><li>Document model architecture, assumptions, validation metrics, and maintenance plans</li></ul>Required Skills &amp; Qualifications<ul><li>3&ndash;5+ years of hands-on experience in machine learning model development</li><li>Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost</li><li>Strong understanding of supervised and unsupervised learning techniques</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Solid grasp of ML system design, model deployment, and MLOps best practices</li><li>Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP, or Azure)</li><li>Comfortable working with structured and unstructured data</li><li>Strong collaboration and communication skills in cross-functional, remote environments</li></ul>Nice to Have<ul><li>Experience with LLMs (Large Language Models), embeddings, or vector search integration</li><li>Familiarity with Retrieval-Augmented Generation (RAG) architectures</li><li>Experience using MLflow, Weights &amp; Biases, or similar model tracking tools</li><li>Understanding of privacy and compliance considerations for ML systems (HIPAA, GDPR, etc.)</li><li>Exposure to real-time ML applications (recommendation engines, fraud detection, etc.)</li></ul>Working Hours<ul><li>Full-Time, Monday&ndash;Friday 8 hours per day</li><li>Aligned with U.S. business hours</li></ul>Job Type: Full-timePay: E&pound;66,549.00 - E&pound;137,852.00 per monthApplication Question(s):<ul><li>To be able to proceed please confirm that you applied through our website:</li></ul>https://radarhire.com/job/machine-learning-engineer-remote-id-2116/

Machine Learning Engineer (Remote)

AdmeeSync

Job Title 1 : Machine Learning Engineer (Image Modality)Experience: 2 &ndash; 4 YearsCollaboration Duration: 6 MonthsEngagement Mode: RemoteBudget: 30,000 - 40,000Timezone: IndiaPosition OverviewWe are seeking a highly motivated and experienced Machine Learning Engineer with a strong focus on image modality to design, develop, and deploy advanced machine learning and deep learning solutions for image-based applications. The role involves contributing across the full ML lifecycle, from data preprocessing to production deployment, while collaborating with cross-functional teams.Key Responsibilities- Design, develop, and deploy machine learning and deep learning models for image-based tasks such as classification, object detection, segmentation, super-resolution, and image generation.- Build and maintain robust image preprocessing and data augmentation pipelines for diverse datasets.- Implement and fine-tune vision architectures including CNNs, Vision Transformers, diffusion models, and other state-of-the-art computer vision approaches.- Collaborate closely with data engineers, software developers, product managers, and researchers to define and solve imaging problems.- Analyze model performance using quantitative metrics and visual diagnostics; identify failure modes and optimization opportunities.- Optimize models for performance, scalability, and real-time inference, including techniques like quantization and pruning.- Contribute to production-ready ML pipelines and follow MLOps best practices.- Stay updated with the latest research in computer vision and propose innovative solutions for business-critical use cases.Required Skills &amp; Qualifications- 3+ years of industry experience in Machine Learning / Deep Learning, with a strong focus on image modality.- Solid understanding of computer vision fundamentals, including convolutional networks, feature extraction, and geometric transformations.- Strong proficiency in Python.- Hands-on experience with ML/DL frameworks and libraries:- PyTorch- TensorFlow- OpenCV- scikit-learn- Experience training and fine-tuning models on GPU-based infrastructure.- Strong understanding of model evaluation and cross-validation techniques.- Experience with image quality and evaluation metrics such as IoU, PSNR, and SSIM.- Experience with Docker, version control systems, and deploying ML models in production environments.Preferred / Bonus Skills- Experience with transformer-based vision models such as ViT, DETR, SAM.- Exposure to multi-modal learning (e.g., vision-language models).- Knowledge of synthetic data generation, image annotation tools, and data-centric AI practices.- Experience with edge deployment or embedded/real-time vision systems.- Familiarity with MLOps workflows and CI/CD for ML systems.Technology Stack (Key Skills)- Python- PyTorch, TensorFlow- OpenCV, scikit-learn- CNNs, Vision Transformers (ViT, DETR, SAM)- GPU-based training- Docker &amp; MLOps- Image metrics: IoU, PSNR, SSIMJob Title 2 : Senior ML EngineerExperience: 7+ YearsLocation: RemoteBudget: 60,000 - 80,000Job SummaryWe are looking for a highly skilled Senior Machine Learning Engineer with 7+ years of experience in designing, building, and deploying scalable ML solutions. The ideal candidate will work closely with data scientists, product teams, and engineering stakeholders to translate business requirements into production-grade ML systems.Key ResponsibilitiesDesign, develop, and deploy machine learning models at scale.Build end-to-end ML pipelines including data preprocessing, model training, validation, and deployment.Optimize model performance, scalability, and reliability in production environments.Collaborate with cross-functional teams to integrate ML solutions into products.Work with large datasets and apply advanced statistical and ML techniques.Monitor model performance and implement continuous improvement strategies.Mentor junior engineers and contribute to best practices and ML standards.Required Skills &amp; Qualifications7+ years of experience in Machine Learning / Applied AI.Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).Experience with data processing tools and libraries (Pandas, NumPy, Spark).Strong understanding of supervised and unsupervised learning techniques.Experience deploying ML models using cloud platforms (AWS / Azure / GCP).Knowledge of MLOps, CI/CD pipelines, model versioning, and monitoring.Solid understanding of data structures, algorithms, and system design.Good to HaveExperience with NLP, Computer Vision, or Generative AI.Exposure to Kubernetes, Docker, and microservices architecture.Experience working in remote, distributed teams.Job Type: Contractual / TemporaryPay: ₹30,000.00 - ₹80,000.00 per monthWork Location: Remote

Machine Learning Engineer

Ampstek

<div>
 
 
 Role: ML Engineer
 
 
 
 
 Location: Cairo
 
 
 
 
 Project Site: Onsite
 
 
 
 
 Project type: Contract (6 months with extension)
 
 
 
 
 
 
 
 Job Description:
 
 
 
 We are looking for a strong applied scientist to develop, evaluate, and productionise machine learning models to improve the trust, safety, and intelligence of MSN. You will be using the latest machine learning techniques, such as deep neural networks and large language models, to develop classifiers using large amounts of news data.
 
 
 
 
 
 
 Responsibilities
 
 :
 
 <ul>
 <li>
 2-5 years of experience in developing machine learning models
 </li>
 <li>
 Solid understanding of machine learning concepts and methods
 </li>
 <li>
 Solid data analysis skills to perform statistical analysis and data visualization
 </li>
 <li>
 In-depth experience with natural language processing
 </li>
 <li>
 In-depth experience with distributed big data processing
 </li>
 <li>
 Teamwork and communication skills in an agile development environment
 </li>
 </ul>
 
 
 
 
 
 Preferred
 
 :
 
 <ul>
 <li>
 Experience with production machine learning model deployment and debugging
 </li>
 <li>
 Experience with large language models
 </li>
 <li>
 Experience with image/video processing, vision models, or visual content understanding
 </li>
 </ul>
</div>

Data Scientist

The Cigna Group

<div>AI &amp; ML Advisor
Position Overview
Evernorth, a leading Health Services company, is looking for exceptional data engineer in our Data and Analytics organization. In this role, you will actively participate with your development team on initiatives that support Evernorth's strategic goals as well as subject matter experts to understand business logic you will be engineering. As a software engineer, you will help develop an integrated architectural strategy to support next-generation capabilities on an enterprise-wide scale. You will work in an agile environment, delivering user-oriented products.
We are seeking a highly skilled Gen AI/ML Engineer with expertise in embeddings, vector databases, and application development to join our team. The ideal candidate will have a strong background in machine learning, natural language processing, and software development. The Gen AI/ML Engineer will be responsible for designing, implementing, and optimizing AI/ML models or applications, leveraging embeddings and vector databases to build innovative applications.
Responsibilities<ul><li>
Design, develop, and deploy Gen AI/ML applications with a focus on embeddings and vector databases.</li><li>
Implement and optimize machine learning algorithms for various applications, including natural language processing and computer vision.</li><li>
Develop and maintain scalable applications that leverage AI/ML models and vector databases.</li><li>
Collaborate with data scientists, software engineers, and other stakeholders to integrate AI/ML solutions into existing systems.</li><li>
Conduct research and stay current with the latest advancements in AI/ML, embeddings, and vector databases.</li><li>
Optimize the performance and scalability of AI/ML models and applications.</li><li>
Ensure data quality, integrity, and security throughout the AI/ML lifecycle.</li></ul>
Qualifications
Required Skills:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Machine Learning or a related field.</li><li>
Proven experience as an AI/ML Engineer or similar role, with a focus on embeddings and vector databases.</li><li>
Strong understanding of machine learning principles, algorithms, and frameworks.</li><li>
Proficiency in programming languages such as Python, Java, or C++.</li><li>
Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>
Hands-on experience with vector databases (e.g., Faiss, Milvus, Pinecone).</li><li>
Familiarity with natural language processing techniques and tools.</li><li>
Experience in developing and deploying scalable applications.</li><li>
Excellent problem-solving skills and attention to detail.</li><li>
Strong communication and collaboration skills.</li></ul>
Required Experience &amp; Education:<ul><li>
8-12 years of overall IT experience.</li><li>
Proven experience as an AI/ML Engineer or similar role, with a focus on embeddings and vector databases.</li><li>
Strong understanding of machine learning principles, algorithms, and frameworks.</li><li>
Proficiency in programming languages such as Python, Java, or C++.</li><li>
Experience with AI/ML frameworks and libraries.</li><li>
Hands-on experience with vector databases (e.g., Faiss, Milvus).</li><li>
Familiarity with natural language processing techniques and tools.</li><li>
Experience in developing and deploying scalable applications.</li><li>
Excellent problem-solving skills and attention to detail.</li></ul>
About Evernorth Health Services<div><div><div><div><div><div><div>
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.</div></div></div></div></div></div></div></div>

HIH - Machine Learning Advisor

Aptino, Inc.

<div>
 
 
 Role:
 
 AI/ML Engineer
 
 
 
 Location:
 
 Charlotte, NC (Hybrid &ndash; 3 days/week from office)
 
 
 
 Duration:
 
 12 months
 
 
 
 
 
 We are looking for a skilled
 
 AI/ML Engineer
 
 to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate will work closely with data scientists, product teams, and engineers to build scalable AI-driven applications that solve real-world business problems.
 
 
 🔹 Key Responsibilities
 
 <ul>
 <li>
 Design, develop, and deploy
 
 machine learning models
 
 for production environments
 </li>
 <li>
 Build and optimize
 
 data pipelines
 
 for training and inference
 </li>
 <li>
 Develop models using
 
 supervised, unsupervised, and deep learning techniques
 
 </li>
 <li>
 Work with structured and unstructured data
 </li>
 <li>
 Perform
 
 model evaluation, tuning, and optimization
 
 </li>
 <li>
 Deploy models using
 
 APIs, microservices, or cloud platforms
 
 </li>
 <li>
 Collaborate with cross-functional teams to translate business requirements into AI solutions
 </li>
 <li>
 Monitor model performance and retrain models as needed
 </li>
 <li>
 Stay updated with latest trends in
 
 AI/ML and GenAI
 
 </li>
 </ul>
 
 🔹 Required Skills &amp; Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, AI, ML, or related field
 
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 </li>
 <li>
 Hands-on experience with
 
 ML frameworks
 
 : TensorFlow, PyTorch, Scikit-learn
 </li>
 <li>
 Solid understanding of
 
 machine learning algorithms and statistics
 
 </li>
 <li>
 Experience with
 
 data preprocessing, feature engineering, and model validation
 
 </li>
 <li>
 Knowledge of
 
 SQL and data handling
 
 </li>
 <li>
 Familiarity with
 
 REST APIs
 
 and model deployment
 </li>
 </ul>
 <li>
 </li>
 
 
</div>

AI/ML Engineer

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