deep learning engineer

SeaportAI

<div></div><div>Full-time | Hybrid/Remote
<div><div>Skill Sets Needed
<ul><li>Deep Learning Frameworks: Proficient in PyTorch or TensorFlow</li>
<li>Programming: Strong Python skills with experience in NumPy, Pandas, and scikit-learn</li>
<li>Model Development: Experience with CNNs, RNNs, transformers, and self-supervised learning</li>
<li>Healthcare Data Handling: Exposure to medical images (e.g., DICOM), tabular EHR, or time-series signals</li>
<li>MLOps Basics: Knowledge of model versioning, deployment tools (e.g., ONNX,Docker), and performance monitoring</li>
<li>Problem-Solving Mindset: Ability to build practical solutions in resource-constrained, noisy data environments</li>
<li>Bonus: Familiarity with medical standards (e.g., ICD codes, HL7) or experience in Kaggle/healthcare AI competitions</li>
</ul>
</div><div>Key Responsibilities
<ul><li>Design and train deep learning models for medical imaging, diagnostics, and predictive healthcare analytics</li>
<li>Collaborate with clinicians, product teams, and data scientists to translate healthcare problems into AI solutions</li>
<li>Work with real-world healthcare data (images, time-series, EHR), ensuring regulatory compliance (e.g., HIPAA/GDPR)</li>
<li>Contribute to model deployment pipelines, optimizing performance in production environments</li>
</ul>
</div></div>Send your resume to info@seaportAI.com</div><div></div>

Deep Learning Engineer

Programming.com

Job Title: Machine Learning EngineerExperience: 5+ Years Location: Bangalore, Pune, Mumbai, Hyderabad, Mohali Shift: Late Evening Shift (Starts from 6:30 pm IST) Employment Type: Full-TimeJob Description:We are seeking a highly skilled Machine Learning Engineer with 5+ years of experience to join our team. The ideal candidate will have expertise in machine learning model training, MLOps, deep learning, model deployment, and implementation. You will be responsible for building scalable ML solutions, deploying them into production, and ensuring operational excellence in a late evening shift role.Key Responsibilities:<ul><li>Design, develop, and train machine learning and deep learning models for real-world applications.</li><li>Implement MLOps practices for continuous integration, deployment, monitoring, and scaling of ML models.</li><li>Deploy and maintain ML models in production environments across cloud/on-prem platforms.</li><li>Collaborate with data scientists, data engineers, and product teams to understand requirements and translate them into scalable ML solutions.</li><li>Optimize models for performance, scalability, and efficiency.</li><li>Monitor deployed models for drift, accuracy, and reliability; retrain as needed.</li><li>Document ML workflows, pipelines, and processes for future reference.</li></ul>Required Skills:<ul><li>5+ years of professional experience as an ML Engineer or related role.</li><li>Strong expertise in machine learning model training, tuning, and evaluation.</li><li>Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras).</li><li>Proficiency in MLOps tools and practices (Kubeflow, MLflow, Airflow, CI/CD).</li><li>Experience with model deployment on cloud platforms (AWS, GCP, Azure) or containerized environments (Docker, Kubernetes).</li><li>Strong programming skills in Python and knowledge of ML libraries (scikit-learn, NumPy, Pandas).</li><li>Good understanding of data pipelines and version control systems (Git).</li></ul>Job Type: Full-timePay: Up to &#8377;2,000,000.00 per yearBenefits:<ul><li>Health insurance</li></ul>Work Location: In person

ML Engineer

Infostack Tech

Job Title: Machine Learning EngineerAbout the Role:Infostack is hiring a skilled Machine Learning Engineer with 2+ years of experience in creating and deploying machine learning models. The role involves leveraging cutting-edge ML algorithms to solve complex business problems.Responsibilities:- Build, train, and deploy ML models using frameworks like TensorFlow, PyTorch, and Scikit-learn.- Develop and maintain scalable ETL pipelines for data preprocessing and transformation.- Optimize machine learning workflows for large-scale data processing.- Collaborate with teams to integrate ML capabilities into cloud-based services.- Monitor and improve model performance in production environments.Requirements:- Expertise in Python and machine learning frameworks.- Strong understanding of ML and deep learning algorithms.- Experience with ETL pipelines and data engineering tools like Apache Spark.- Proficiency with MLOps tools such as MLflow or DVC.- Familiarity with cloud platforms (AWS, GCP, Azure).- Strong English Communication skills.Nice to have:- Knowledge of containerization tools like Docker and orchestration with Kubernetes.- Experience working with structured and unstructured datasets.Job Timing:05:00 PM to 02:00 AM (Remote)Job Type: Full-timeWork Location: Remote

Machine Learning Engineer

Apple

<div>Are you passionate about applying cutting-edge machine learning techniques to solve real- world problems in natural language processing, computer vision, recommendation systems, knowledge graph and more? Join the ACD Labs at Apple, where we're developing innovative AI solutions to power the next generation of digital experiences. We're seeking an exceptional Applied Machine Learning Engineer to join our research team, focusing on practical applications of advanced ML techniques. In this role, you'll work on challenging problems in NLP, deep neural networks, recommendation systems, and computer vision, translating state-of-the-art research into real-world solutions that enhance our products and services. As an Applied Machine Learning Engineer, you'll collaborate closely with our research scientists and distributed systems engineers, big data engineers and system architects to implement and fine-tune models for production environments. You'll have the opportunity to work on projects that directly impact millions of users, while staying at the forefront of AI innovation.
 
 
Description 
 
Implement and fine-tune state-of-the-art machine learning models for NLP, computer vision, recommendation systems and other deep neural networks. Develop end-to-end ML pipelines, from data preprocessing to model deployment with focus on MLOps. Collaborate with research scientists to translate theoretical concepts into practical applications Optimize model performance for production environments, considering scalability and efficiency Conduct experiments to evaluate and improve model accuracy and effectiveness Implement and adapt latest advancements in deep learning architectures for specific use cases Contribute to the development of ML-powered features for Apple's digital products and services Work closely with cross-functional teams to integrate ML solutions into existing systems Stay current with the latest d
 
 
Minimum Qualifications 
<ul><li>
Bachelor's or Master's degree in Computer Science, Machine Learning, or a related
</li><li>technical field
</li><li>3-5 years of experience in applied machine learning, with a focus on NLP, computer vision,
</li><li>or recommendation systems
</li><li>Strong programming skills in Python and experience with ML frameworks such as PyTorch
</li><li>or TensorFlow
</li><li>Proven track record of implementing and fine-tuning deep learning models for real-world
</li><li>applications
</li><li>Experience with natural language processing techniques, including transformers and
</li><li>language models
</li><li>Familiarity with computer vision algorithms and deep learning architectures for image and
</li><li>video processing
</li><li>Knowledge of recommendation system algorithms and their practical applications
</li><li>Strong problem-solving skills and ability to translate complex problems into effective ML
</li><li>solutions
</li><li>Excellent communication skills and ability to work in a collaborative research environment
</li></ul> 
Preferred Qualifications 
<ul><li>
Experience with deploying ML models in production environments
</li><li>Familiarity with cloud-based ML platforms and services
</li><li>Knowledge of MLOps practices and tools
</li><li>Experience with multimodal learning and fusion of different data types
</li>Contributions to open-source ML projects or publications in applied ML 
<li>
</li></ul> 
 
Submit CV</div>

Applied Machine Learning Engineer

Blueflame Labs

<div><div>We are seeking a talented and passionate AI/ML Engineer to join our dynamic team. The ideal candidate will be an experienced ML developer with expertise in predictive analytics and deep learning, proficient in Python, Databricks, ReactJS, and PyTorch. You will collaborate with cross-functional teams to design, develop, and deploy scalable AI solutions that align with Blueflame Labs&rsquo; vision and client needs.</div><div></div><div> 
Key Responsibilities:</div><div></div><ul><li> 
Design, develop, and implement machine learning (ML) models and algorithms with a focus on predictive analytics and deep learning to address complex business problems.</li><li>Collaborate with data scientists, software engineers, and product managers to integrate AI/ML solutions into production systems.</li><li>Preprocess and analyze large datasets using Databricks, Python, and related tools to extract meaningful insights and ensure data quality for model training.</li><li>Develop front-end interfaces for AI-driven applications using ReactJS to deliver seamless user experiences.</li><li>Optimize and fine-tune ML models using PyTorch for performance, scalability, and accuracy.</li><li>Stay up-to-date with the latest advancements in ML, predictive analytics, and deep learning technologies and apply them to enhance our solutions.</li><li>Conduct experiments to evaluate model performance and iterate on improvements.</li><li>Contribute to the development of robust, scalable, and maintainable codebases.</li><li>Document processes, models, and results to ensure transparency and reproducibility.</li></ul><div></div><div> 
Qualifications:</div><div></div><ul><li> 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Mathematics, or a related field (Ph.D. is a plus).</li><li>3+ years of experience as an ML developer or in a related AI/ML engineering role.</li><li>Must-have: Strong proficiency in Python for machine learning and data science.</li><li>Must-have: Expertise in machine learning (ML) and PyTorch for building and training deep learning models.</li><li>Must-have: Hands-on experience with Databricks for data processing, model development, and deployment.</li><li>Must-have: Proficiency in ReactJS for developing front-end interfaces for AI/ML applications.</li><li>Strong expertise in predictive analytics and deep learning techniques (e.g., CNNs, RNNs, Transformers) and their applications.</li><li>Familiarity with data processing tools (e.g., Pandas, NumPy) and big data technologies (e.g., Hadoop, Spark).</li><li>Knowledge of cloud platforms (e.g., AWS, Azure, GCP) for deploying AI/ML models is a plus.</li><li>Understanding of software engineering principles, including version control (Git) and CI/CD pipelines.</li><li>Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.</li><li>Excellent communication skills to explain complex technical concepts to non-technical stakeholders.</li></ul><div></div><div> 
Preferred Skills:</div><div></div><div> 
&#65279;&bull; Experience with natural language processing (NLP), computer vision, or reinforcement learning.</div><ul><li>Familiarity with MLOps practices and tools (e.g., Kubeflow, MLflow).</li><li>Knowledge of containerization technologies (e.g., Docker, Kubernetes).</li><li>Contributions to open-source ML or deep learning projects or publications in predictive analytics or related fields.</li></ul></div><div></div>

AI/ML Engineer

Techorphic

Location: Lahore Job Type: Full-TimeAbout Us At Techorphic, we&rsquo;re driven by innovation and the mission to create intelligent, scalable solutions that shape the future. Our team blends creativity, cutting-edge technology, and deep technical expertise to deliver impactful AI-powered products and services.We are now looking for a skilled AI / Machine Learning Engineer to join our growing team and help design, develop, and deploy AI-driven applications that solve real-world problems.Responsibilities<ul><li>Design, train, and deploy machine learning and deep learning models.</li><li>Work with large datasets to perform data preprocessing, feature engineering, and model optimization.</li><li>Collaborate with cross-functional teams to integrate AI models into production systems.</li><li>Research and implement state-of-the-art algorithms for natural language processing, computer vision, recommendation systems, and other AI domains.</li><li>Monitor, evaluate, and continuously improve model performance.</li><li>Write clean, maintainable, and well-documented code.</li></ul>Requirements<ul><li>Proven experience as an AI / Machine Learning Engineer or similar role.</li><li>Strong skills in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.</li><li>Experience with data pipelines, model deployment, and cloud services (AWS, Azure, GCP).</li><li>Solid understanding of statistics, algorithms, and data structures.</li><li>Knowledge of MLOps practices is a plus.</li><li>Excellent problem-solving skills and attention to detail.</li></ul>Nice to Have<ul><li>Experience with generative AI models (e.g., LLMs, diffusion models).</li><li>Background in NLP, computer vision, or reinforcement learning.</li><li>Contribution to open-source AI projects.</li></ul>What We Offer<ul><li>Competitive salary and benefits.</li><li>Flexible work arrangements.</li><li>Opportunity to work on cutting-edge AI projects with a talented team.</li><li>Continuous learning and career growth opportunities.</li></ul>How to Apply If you&rsquo;re passionate about AI and eager to make an impact, send your resume, portfolio, and a brief introduction to hr@techorphic.com with the subject line: &quot;AI/ML Engineer &ndash; Techorphic&quot;.Job Type: Full-timePay: From Rs30,000.00 per monthWork Location: Remote

AI/ML Software engineer

Blue Flame Labs

Search 10000+ Deep learning engineer jobs near you this September. New roles added regularly across leading industries. Apply today.

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