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Deep Learning Engineer Jobs

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Machine Learning Research Assistant Artificial Intelligence Python Data Science R&D PhD Research Deep Learning Academic Research AI Engineer Research Programmer Neural Networks Model Development Research and Development
Role: Research Programmer(Python)Industry Type: IT Services & ConsultingDepartment: Research & DevelopmentEmployment Type: Full Time, PermanentSalary: NegotiableJob Description:We are seeking a Machine Learning Research Assistant to support our Research and Development (R&D) projects in the field of AI and data-driven PhD research. The role involves developing, testing, and implementing machine learning models, data analysis, and assisting in the preparation of academic research papers and technical documentation.Key Responsibilities: Assist in designing and implementing machine learning algorithms and deep learning models for research applications. Conduct data preprocessing, feature engineering, and model evaluation. Perform literature reviews to identify trends and methods relevant to ongoing research projects. Support PhD researchers with technical coding assistance and research data analysis. Prepare research reports, documentation, and result visualizations. Collaborate with the R&D team to explore new technologies and research directions in AI and ML.Required Skills: Strong programming skills in Python, NumPy, Pandas, TensorFlow, or PyTorch. Knowledge of machine learning algorithms, data analytics, and model optimization. Experience with research writing or academic publications is a plus. Strong analytical, problem-solving, and communication skills.Best Regards,Anand Kumar LHRPanacorp Software Solutions
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Deep Learning Engineer

Bioqube Technologies

Particularly CNNs RCNNs TFLite Pruning NumPy Pandas Scikit-l Solid Understanding Of Deep Learning Fundamentals Vision Transformers Practical Experience in Optimizing CoreML Model Compression Knowledge Distillation
Job Overview:We are looking for a passionate Deep Learning Engineer to develop and optimize state-of-the-art models for biometric recognition. You will work on deploying lightweight, high-performance models across mobile and edge platforms using TFLite, CoreML, and ONNX.
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Looking For ML Engineer

The Supreme Consultancy

Machine Learning Data Analysis Python ML Engineer Data Science Data Analyst Problem Sloving Deep Learning Deep Learning Engineer
Mandatory Criteria (Can't be neglected during screening) : Looking for Only BTech and BE candidates. Candidate should have Hands-on development experience as Data Analyst and/or ML Engineer. Candidate must have Coding experience in Python. Need candidates with atleast 1-2years of ML experience. Candidate should have Good Experience with ML models and ML algorithms. Need Experience with statistical modelling of large data sets. Looking for Immediate joiners or max. 30 days of Notice Period candidates. The candidates based out of these locations - Bangalore, Pune, Hyderabad, Mumbai, will be preffered. Kindly note Salary bracket will vary according to the exp. of the candidate - - Experience from 4 yrs to 5 yrs - Salary range - 15 LPA - 21 LPA max.- Experience from 6 yrs to 7 yrs - Salary range - 21 LPA - 25 LPA- Experience of 8 yrs to 9 yrs - Salary range - 30 LPA - 32 LPA- Experience 10 yrs to 12 yrs - Salary upto 40 LPA max.What You will do: Play the role of Data Analyst / ML Engineer Collection, cleanup, exploration and visualization of data Perform statistical analysis on data and build ML models Implement ML models using some of the popular ML algorithms Use Excel to perform analytics on large amounts of data Understand, model and build to bring actionable business intelligence out of data that is available in different formats Work with data engineers to design, build, test and monitor data pipelines for ongoing business operationsBasic Qualifications: Only BTech and BE candidates. Experience: 4+ years. Hands-on development experience playing the role of Data Analyst and/or ML Engineer. Experience in working with excel for data analytics Experience with statistical modelling of large data sets Experience with ML models and ML algorithms Coding experience in PythonNice to have Qualifications: Experience with wide variety of tools used in ML Experience with Deep learningBenefits: Competitive salary. Hybrid work model. Learning and gaining experience rapidly. Reimbursement for basic working set up at home. Insurance (including a top up insurance for COVID).
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  • 4 yrs
  • Canada
Deep Learning Engineer ML Engineer Real Time Analyst
Position OverviewWere hiring candidates with deep expertise in audio signal processing and neural network-based detection. The selected engineer will be responsible for delivering a production-grade, real-time deepfake detection pipeline as part of a time-sensitive, high-stakes 3-month pilot deployment. Design and Deliver Core Detection PipelineLead the development of a robust, modular deepfake detection pipeline capable of ingesting, processing, and classifying real-time audio streams with high accuracy and low latency. Architect the system to operate under telecom-grade conditions with configurable interfaces and scalable deployment strategies. Model Strategy, Development, and OptimizationOwn the experimentation and refinement of state-of-the-art deep learning models for voice fraud detection. Evaluate multiple model families, benchmark performance across datasets, and strategically select or ensemble models that balance precision, robustness, and compute efficiency for real-world deployment. Latency-Conscious Production ReadinessEnsure the entire detection stack meets strict performance targets, including sub-20ms inference latency. Apply industry best practices in model compression, preprocessing optimization, and system-level integration to support high-throughput inference on both CPU and GPU environments. Evaluation Framework and Continuous TestingDesign and implement a comprehensive evaluation suite to validate model accuracy, false positive rates, and environmental robustness. Conduct rigorous testing across domains, including cross-corpus validation, telephony channel effects, adversarial scenarios, and environmental noise conditions. Deployment Engineering and API IntegrationDeliver a fully containerized, production-ready inference service with REST/gRPC endpoints. Build CI/CD pipelines, integration tests, and monitoring hooks to ensure system integrity, traceability.
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AIML Engineer

Optimeyes

  • 6 - 12 yrs
  • Pune
Deep Learning Machine Learning Python Java
Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Ensuring that algorithms generate accurate user recommendations. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining validation strategies. Defining the pre-processing or feature engineering to be done on a given dataset Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Deploying models to production. Documenting machine learning processes. Keeping abreast of developments in machine learning.
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  • 10 - 12 yrs
  • 30.0 Lac/Yr
  • Oman
Facility Operation Assistant Facility Manager Pest Control Land Sacping Deep Learning Landscaping Facility Administration Facility Planning Facility Management Engineer
POSITION OVERVIEWThe Assistant Manager Operations will support the Operations Manager in overseeing theday-to-day operations of our facility management services. This role involves coordinatingfacilities, managing teams of Pest Control, Landscaping, and General cleaning ensuringadherence to health and safety standards, optimizing service delivery, and contributing to theoverall efficiency of our operations. The Assistant Manager will work closely with otherdepartments to ensure seamless operations and high levels of client satisfaction. Assist the Operations Manager in planning, organizing, and overseeing facilitymanagement services, including Pest control, Landscaping, and cleaning services. Coordinate the scheduling and dispatch of staff and contractors to ensure efficientresource utilization. Monitor service quality and ensure that all services meet the companys standardsand client expectations. Supervise a team of staff, Pest Control, landscaping, and General cleaning. Provide guidance, training, and support to staff, ensuring that they perform theirduties effectively and in compliance with company policies. Assist in conducting performance reviews and managing employee attendance andproductivity. Assist in developing and maintaining strong relationships with clients by providingexcellent customer service and promptly addressing client inquiries, concerns, andcomplaints. Support the Operations Manager in conducting site visits to ensure services are beingdelivered to client satisfaction. Prepare regular reports for clients on facility performance, service quality, and keymetrics. Assist in budget preparation and monitor operational expenses, ensuring the efficientallocation of resources. Assist in reviewing vendor contracts. Ensure all operations comply with relevant health, safety, and environmentalregulations. Maintain accurate records of facility management activities, including maintenance
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Urgent Requirement For AI Engineer - Freshers

Green Focus Marketing Store Private Limited

  • 0 - 1 yrs
  • 6.0 Lac/Yr
  • Chennai
Java Python My SQL Deep Learning Programming Algorithms
We are seeking talented AI researchers to join our cutting-edge team and help drive innovation in artificial intelligence. As an AI researcher, you will be at the forefront of developing intelligent systems that can solve complex problems and uncover valuable insights from data.Responsibilities:Research and Development: Conduct research in AI areas relevant to the company's goals, such as machine learning, natural language processing, computer vision, or recommendation systems. Explore new algorithms and methodologies to solve complex problems.Algorithm Design and Implementation: Design and implement AI algorithms and models, considering factors such as performance, scalability, and computational efficiency. Use programming languages like Python, Java, or C++ to develop prototype solutions.Data Analysis: Analyze large datasets to extract meaningful insights and patterns. Preprocess data and engineer features to prepare it for training AI models. Apply statistical methods and machine learning techniques to derive actionable insights.Experimentation and Evaluation: Design experiments to evaluate the performance of AI algorithms and models. Conduct thorough evaluations and analyze results to identify strengths, weaknesses, and areas for improvement. Iterate on algorithms based on empirical findings.Collaboration and Communication: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to integrate AI solutions into our products and services. Communicate research findings, technical concepts, and project updates effectively to stakeholders.Preferred LocationCandidates based in Tamil Nadu or those willing to work from home are encouraged to apply.
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Machine Learning Engineer - Freshers

Thirumoolar IT Solutions

  • 0 - 1 yrs
  • 3.0 Lac/Yr
  • Chennai
Core Java Python Deep Learning Statistics Big Data
Thirumoolar IT Solutions is currently hiring for the position of Machine Learning Engineer - Freshers. This role is suitable for candidates looking to start their careers in machine learning and is based in Tamil Nadu, with a preference for work-from-home arrangements.Job ResponsibilitiesCollaborate with data scientists to identify and understand business problems suitable for machine learning solutions.Preprocess and clean data for model training, addressing missing values and performing feature engineering.Implement and train machine learning models using Python libraries such as scikit-learn, TensorFlow, or PyTorch.Optimize model performance through hyperparameter tuning and feature selection.Develop unit and integration tests to ensure the robustness of models.Deploy trained models to production environments using tools like Docker and Kubernetes.Monitor model performance in production and implement strategies for continuous improvement.Document code, models, and processes for maintainability and reproducibility.RequirementsBachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.Strong programming skills in Python and familiarity with machine learning libraries.Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning.Preferred LocationCandidates based in Chennai, Tamil Nadu, or those willing to work from home are encouraged to apply.
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Senior Generative AI Engineer

Emarlex Multiventure LLP

  • 7 - 12 yrs
  • 30.0 Lac/Yr
  • Chennai
Python LLM Natural Language Processing Deep Learning API Integration Salesforce Developer Oracle Developer Artificial Intelligence Machine Learning
Role DescriptionThis is a full-time on-site role for a Generative AI Engineer located in Chennai. As a Generative AI Engineer, you will be responsible for developing and implementing generative models and algorithms. You will work on designing and training deep learning models, optimizing algorithms, and conducting experiments. Your role will involve collaborating with a cross-functional team to develop and deploy AI solutions. You will also stay updated with the latest research and technologies in the field of generative AI.Total Years of experience:Min 8 years of overall experience2 yrs on GenAIResponsibilities:Develop, optimize, and deploy applications using LLMs to meet specific business requirements and use cases across business units and functions.Implement the RAG architecture to enhance response quality across various applications.Utilize prompt engineering techniques to extract desired outputs from generative models promptly.Collaborate with cross-functional teams to integrate GenAI-driven solutions into business workflows.Be able to deliver solutions following modern software development practices.Required Skills:Bachelor s degree in computer science, IT, AI or relevant disciplineSolid proficiency (3+ years) in Python and related AI/ML libraries. Hands-on experience with GenAI, LLMs, particularly OpenAI models like ChatGPT, Langchain, and Vector Database/Embeddings.Deep understanding of the RAG architecture and its implementation.Experience with deep learning frameworks such as TensorFlow, PyTorch, or equivalent.Experience of API-based integrations and cloud deployment (e.g., AWS, Azure, GCP).Solid experience (3+ years) with building and maintaining business application API integration (e.g. Salesforce, Oracle)Familiarity with NLP toolkits like HuggingFace
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  • 2 - 5 yrs
  • Bangalore
C++ Programming Deep Learning System On A Chip Linux Python DL Framework Pytorch TensorFlow TF Lite
Responsibilities- To port machine learning scripts from Python to C++- Test the working of converted scripts- Deploy/integrate C++ scripts to an embedded devicePrimary Skills- C++ Programming experience in deploying Deep Learning models on embedded system.- Software optimization skill at the System on a chip (SOC) level- Experience working in Linux operating system- Python programming- Understanding of Deep Learning system/concepts such as training, inference, transfer learning, quantization, etc.- Familiarity with at least on DL framework Pytorch, TensorFlow, TF LiteAdditional Skills- Experience using DL framework such as Pytorch/TF/TFLite- Understanding of Edge AI concepts
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Deep Learning Engineer

P.S International HR Consultants

  • 1 - 3 yrs
  • Chennai
Python Tensorflow Numpy Arcgis Machine Learning Computer Vision PyTorch Walk in
Key Responsibility :-You will be working with the core R&D team which drives the computer vision and image processing development.-Build deep learning model for our data and object detection on large scale images.-Design and implement real-time algorithms for object detection, classification, tracking, and segmentation-Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.-Automate the workflow process between the fast-paced data delivery systems.Required Skills :-Professional experience in computer vision and machine learning.-Extensive use of Python.-Experience in python libraries such as OpenCV, Tensor flow and Numpy.-Familiarity with a deep learning library such as Keras and PyTorch.-Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO.-Experienced on hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment.-Dock erization, AWS modules and Production level modelling.-Experience with Qt, Desktop application development, Desktop Automation-Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS
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Senior Machine Learning Engineer

Proglint software solutions

  • 2 - 4 yrs
  • 8.0 Lac/Yr
  • Chennai
Computer Vision Machine Learning Deep Learning Data Science Image Processing Video Processing TensorFlow Neural Networks Keras Python
Job Requirements- Bachelor's or Master's degree in computer science or equivalent- 3+ years of professional software development experience- Strong knowledge in data structures and algorithms- Strong experience in Computer Vision- Proficiency in deep learning on image and video datasets- Experience in deploying machine learning models to productionJob Description- You will be in charge of a machine learning team to develop and deliver cutting-edge machine learning solutions to the market- Collaborating, guiding and assigning work to teammates with the goal of delivering products to market in mind- You will oversee dataset collection, labelling, training and improving the machine learning models- You will guide your teammates to improve their skills
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Software Engineer

Bridge Connectivity Solutions Pvt. Ltd.

  • 0 - 4 yrs
  • Delhi
ASP.NET Advanced Java Software Development Computer Graphics AI NLP Deep Learning Adobe Suite Work From Home
Software development for Natural Language Processing, AI, Machine learning, Video processing, Audio recording, Software Quality Assurance, Analytics, Web based apps, etc.
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  • 3 - 5 yrs
  • 15.0 Lac/Yr
  • Bangalore
Machine Learning Natural Language Processing Artificial Intelligence Python Deep Learning Tensor Flow NLP Engineer Work From Home
COMPANY- Emplay Inc Job Location-Bengaluru, Work from home(Currently)Position Summary:As a Senior NLP Engineer you will primarily focus on building the NLU platform for Emplay by working with Analytics Team, Data Scientists, Data Engineers, brainstorm different ideas, research, build POCs and propose solutions that cater to the broader business needs. You will work with internal and external customer teams to help design machine learning models, data pipelines, integrate into and maintain production systems and analyze key metrics for decision makers and customers. Responsibilities:? As a core member of the NLP team, you will research, prototype, develop, deploy and scale innovative ML/DL solutions in collaboration with Analytics and Product Management teams.? You will develop predictive models on large-scale datasets to address various business problems leveraging advanced statistical modeling, machine learning, or data mining techniques.? Design and implement infrastructure for orchestrating end to end machine learning life cycles? Set up processes to monitor and continually improve efficiency and performance of models? Software development including algorithm implementation, optimization, performance profiling, integration to production systems, testing and documentation.? Write high-quality production code as you build and maintain robust, scalable machine learning systems.? Program primarily in Python using efficient algorithms and software design patterns? Scale and improve performance of Natural Language systems in production? Leadership, Team Management, Stakeholder Management exposure.Required Qualifications:? MS/PhD/BTech in NLP, ML, AI, Engineering or equivalent? 3-5 years of relevant experience in Natural Language Understanding, Recommendation Engine, Topic classification, Semantic Search
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  • 1 - 2 yrs
  • 50+ Lakh/Yr
  • Hyderabad
Computer Vision Engineer Deep Learning IOT C C++
Job descriptionJOB TITLE: Computer Vision EngineerEXPERIENCE: 0 to 2 yearsQUALIFICATION: B.Tech or M.Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Thesis work).SKILLS AND EXPERIENCE REQUIRED :Understanding of engineering principles and a clear understanding of data structures and algorithms.- Experience in the field of Computer vision, Image processing, Machine learning, and Deep learning.- Solid theoretical background in 3D/2D image processing, computer vision and machine learning.- Experience in Computer vision for object recognition and tracking, action recognition, single and two view geometry.- In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers.- Working experience in Deep-learning algorithms/approaches (Neural Networks), platforms like PyTorch and Tensorflow.- Ability to understand, optimize and debug imaging algorithms.- Demonstrated outstanding ability to perform innovative and significant research in the form of technical papers, thesis, or patents.- Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.- Optimize training and prediction runtime performance of machine learning models.- Should have experience on one of the programming languages such as C, C++, and Python. Should have worked on Ubuntu OS.- Necessary Skills: Python, PyTorch/Tensorflow, Computer Vision, Deep Learning, OpenCV.- Additional Desired Skills: ONNX, OpenVINO, Developing CV on Edge computing devices like RaspberryPi, NCS, Google Coral, etc.
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