1342 Deep Learning Jobs - Page 6

Responsibilities Design, implement, and optimize ROS 2-based applications for autonomous robots using C/C++, Python, and related tools Develop and deploy ROS 2 applications for both Linux and embedded firmware platforms, ensuring high efficiency and reliability Work with embedded boards and platforms, utilizing Yocto build, Docker containers, and installing ROS 2 packages on target hardware Utilize ROS 2 and Micro-ROS middleware for building communication between different nodes and layers of the robotic system Have a deep understanding of ROS architecture, including the functionality and interaction between layers such as rclcpp, rclpy, rmw, and other key components (DDS, rmw_microxrcedds, micro-ROS-Agent, etc) Work on Simultaneous Localization and Mapping (SLAM), Visual SLAM (VSLAM), and integrate computer vision solutions to enhance robotic navigation and perception Implement and optimize computer vision algorithms and deep learning models to improve object detection, recognition, and environmental interaction Familiarity with simulation tools like Omniverse and Isaac Sim to model, test, and simulate robotic systems before deployment Debug, troubleshoot, and optimize robot performance, ensuring high responsiveness and real-time capabilities in dynamic environments Collaborate with cross-functional teams to deliver high-quality robotic solutions, maintaining comprehensive documentation for design, code, and processes

Hands on with C, C++, Python, Linux, C# Hands on with OpenCV, TensorFlow, Caffe, CUDA, OpenCL, OpenGL Hands-on experience with internals of networks (CNN/, RNN,/ DNN, /BNN,/LSTM, SSD etc) Customization of NN and improving performance

Position: AI ML Engineer Job Description: 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems. Excellent hands-on Coding in Python (mandatory), C/C++ or Java. Experience in developing AI/ML/DL models by using transfer learning or from scratch. Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc. Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi). Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics. Developed/optimized various models in computing domain (Video, Statistics , Audio and others). Demonstrated experience in completing data science projects with or without minimal supervision. Must possess conceptual understanding of various modelling techniques, pros and cons of each technique. Added Advantage: Proven record of migrating Al/ML/DL models/algorithms to low level platforms. Familiar with optimizing code for minimal usage of CPU and memory. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type: Full time Job Category: Engineering Services

About Bosc Tech Labs Bosc Tech Labs is a leading technology company dedicated to building innovative AI-driven solutions. Our team is passionate about leveraging the latest advancements in AI/ML to solve real-world problems. We offer a collaborative work environment where innovation, creativity, and professional growth are encouraged. Job Summary We are looking for a highly skilled Senior AI/ML Engineer with expertise in Computer Vision and Natural Language Processing (NLP) to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI/ML models while optimizing performance for real-world applications. If you are passionate about solving complex problems with cutting-edge technologies, we would love to hear from you! Key Responsibilities Design, develop, and deploy AI/ML models for Computer Vision and NLP applications. Work with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Develop and optimize object detection, image classification, and segmentation models. Implement NLP techniques such as text classification, named entity recognition (NER), summarization, and sentiment analysis. Preprocess and clean large datasets for training and evaluation. Fine-tune pre-trained models (e.g., BERT, GPT, ViT, YOLO, DETR) for specific tasks. Deploy AI models into production using REST APIs, Flask, FastAPI, or TensorFlow Serving. Utilize cloud platforms like AWS, GCP, or Azure for scalable AI/ML solutions. Conduct research on state-of-the-art AI advancements and implement innovative solutions. Work with Large Language Models (LLMs) like OpenAI s GPT, LLaMA, or Claude. Collaborate with cross-functional teams including data engineers, software developers, and product managers. Required Skills & Qualifications Bachelor s/Master s degree in Computer Science, AI/ML, or a related field. 4+ years of experience in AI/ML, Computer Vision, and NLP. Proficiency in Python and libraries such as NumPy, Pandas, OpenCV, and Transformers. Strong experience in deep learning frameworks like TensorFlow, PyTorch, or JAX. Hands-on experience in training, fine-tuning, and deploying ML models. Experience with cloud platforms (AWS, GCP, or Azure) for AI/ML solutions. Solid understanding of MLOps, model deployment, and monitoring techniques. Knowledge of database and big data technologies such as SQL, NoSQL, or Spark is a plus. Preferred Qualifications Experience in edge AI or real-time AI applications. Familiarity with vector databases and retrieval-augmented generation (RAG). Contributions to open-source AI/ML projects or published research papers.

Position: AI ML Engineer Job Description: 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems. Excellent hands-on Coding in Python (mandatory), C/C++ or Java. Experience in developing AI/ML/DL models by using transfer learning or from scratch. Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc. Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi). Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics. Developed/optimized various models in computing domain (Video, Statistics , Audio and others). Demonstrated experience in completing data science projects with or without minimal supervision. Must possess conceptual understanding of various modelling techniques, pros and cons of each technique. Added Advantage: Proven record of migrating Al/ML/DL models/algorithms to low level platforms. Familiar with optimizing code for minimal usage of CPU and memory. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type: Full time Job Category: Engineering Services

Masai, in academic collaboration with a premier institute, is seeking a dedicated and knowledgeable Teaching Assistant (TA) to support its Artificial Intelligence & Machine Learning online program. The TA will play a key role in enhancing the learning experience through academic support, research assistance, and active learner engagement. This is a part-time, remote opportunity ideal for professionals passionate about AI/ML who enjoy mentoring and contributing to high-impact learning outcomes. Key Responsibilities (KRAs): Doubt-Solving Sessions: Conduct or moderate weekly sessions to address student queries, explain AI/ML concepts, and solve coding challenges. Q&A and Discussion Forum Support: Provide prompt and accurate responses to learner questions across platforms such as discussion forums, live chats, or email. Research Support: Work with the academic team to provide updated insights and real-world applications of AI/ML, model development, tools, and trends. Learner Engagement: Encourage active participation through discussions, assignment support, and continuous feedback to keep learners motivated and on track. Content Feedback Loop: Gather feedback from learners to help instructors refine course delivery and improve content clarity and relevance. Candidate Requirements: 2+ years of hands-on experience in AI/ML, including model building, deployment, or research. Solid understanding of algorithms, data preprocessing, supervised/unsupervised learning, deep learning, and real-world applications. Strong coding skills in Python and familiarity with tools/libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Excellent communication and interpersonal skills. Prior teaching, mentoring, or TA experience is a plus. Experience with Jupyter, Git, and LMS platforms is an added advantage. Educational background from a top engineering institute or reputed AI/ML program is a plus.

Experience Hands on with C, C++, Python, Linux, C# Hands on with OpenCV, TensorFlow, Caffe, CUDA, OpenCL, OpenGL Hands-on experience with internals of networks (CNN/, RNN,/ DNN, /BNN,/LSTM, SSD etc) Customization of NN and improving performance Experience with GPU/DSP/ISP/SoC architecture and system software Hands-on experience with one or more leading embedded SoC platforms (Nvidia, Qualcomm, NXP, Movidius etc) Bachelors degree in computer science/ Graduation/ Post Graduate Minimum 2 Years

Date 17 Jun 2025 Location: Bangaore, KA, IN Company Astom Req ID:489267 Coud you be the fu-time Digita Project Speciaist in Bangaore were ooking for Your future roe Take on a new chaenge and appy your digita transformation and project management expertise in a cutting-edge fied. You work aongside coaborative and innovative teammates. You' pay a pivota roe in driving digita initiatives that aign with our strategic goas and enterprise architecture. Day-to-day, you work cosey with teams across the business (e.g., IST Deivery Teams, Business Requesters, Process Owners), ead the panning and execution of digita project strategies, and ensure seamess deivery of impactfu soutions. You specificay take care of assessing and prioritizing digita demands, but aso ead IT integration and transformation projects. We ook to you for: Acting as a key contributor in demand management and soution design Coaborating with stakehoders to define functiona requirements and guide soution deveopment Supporting the deveopment of business cases and ROI assessments Ensuring soutions aign with enterprise architecture guideines Leading digita project deivery strategies across a project phases Monitoring project performance using dashboards and reporting toos Championing continuous improvement in digita deivery practices A about you We vaue passion and attitude over experience. Thats why we dont expect you to have every singe ski. Instead, weve isted some that we think wi hep you succeed and grow in this roe: Bacheors degree in Information Technoogy, Computer Science, or a reated fied 35 years of project management experience in IT consuting or digita transformation Good understanding of digita patforms such as Automation, Anaytics, DevOps, or AI Experience in business anaysis and stakehoder engagement Famiiarity with architecture principes and IT governance Knowedge of Agie or hybrid deivery methodoogies Strong communication and stakehoder management skis Anaytica mindset with attention to detai Proactive and coaborative approach to probem-soving Things you enjoy Join us on a ife-ong transformative journey the rai industry is here to stay, so you can grow and deveop new skis and experiences throughout your career. You aso: Enjoy stabiity, chaenges and a ong-term career free from boring daiy routines Work with the atest advancements in digita transformation and IT governance Coaborate with transverse teams and hepfu coeagues Contribute to innovative projects that shape the future of mobiity Utiise our fexibe and incusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your deveopment, through award-winning earning Progress towards eadership roes in digita project management Benefit from a fair and dynamic reward package that recognises your performance and potentia, pus comprehensive and competitive socia coverage (ife, medica, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or famiy, you be proud. If youre up for the chaenge, wed ove to hear from you! Important to note As a goba business, were an equa-opportunity empoyer that ceebrates diversity across the 63 countries we operate in. Were committed to creating an incusive workpace for everyone. Job Type:Experienced

In the IBM Chief Information Office,you wi be part of a dynamic team driving the future of AI and data science in arge-scae enterprise transformations. We offer a coaborative environment where your technica expertise wi be vaued, and your professiona deveopment wi be supported. Join us to work on chaenging projects, everage the atest technoogies, and make a tangibe impact on eading organisations. As a Data Scientist within IBM's Chief Information Office, you wi support AI-driven projects across the enterprise. You wi appy your technica skis in AI, machine earning, and data anaytics to assist in impementing data-driven soutions that aign with business goas. This roe invoves working with team members to transate data insights into actionabe recommendations. Key Responsibiities: Technica Execution and Leadership: Deveop and depoy AI modes and data anaytics soutions. Support the impementation and optimisation of AI-driven strategies per business stakehoder requirements. Hep refine data-driven methodoogies for transformation projects. Data Science and AI: Design and impement machine earning soutions and statistica modes, from probem formuation through depoyment, to anayse compex datasets and generate actionabe insights. Learn and utiise coud patforms to ensure the scaabiity of AI soutions. Leverage reusabe assets and appy IBM standards for data science and deveopment. Project Support: Lead and contribute to various stages of AI and data science projects, from data exporation to mode deveopment. Monitor project timeines and hep resove technica chaenges. Design and impement measurement frameworks to benchmark AI soutions, quantifying business impact through KPIs. Coaboration: Ensure aignment to stakehoders strategic direction and tactica needs. Work with data engineers, software deveopers, and other team members to integrate AI soutions into existing systems. Contribute technica expertise to cross-functiona teams. Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Bacheors or Masters in Computer Science, Data Science, Statistics, or a reated fied is required; an advanced degree is strongy preferred Experience: 5+ yearsof experience in data science, AI, or anaytics with a focus on impementing data-driven soutions Experience with data ceaning, data anaysis, A/B testing, and data visuaization Experience with AI technoogies through coursework or projects Technica Skis: Proficiency in SQL and Python for performing data anaysis and deveoping machine earning modes Knowedge of common machine earning agorithms and frameworksinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neura networks, and deep earning frameworks such as TensorFow and PyTorch Experience with coud-based patforms and data processing frameworks Understanding of arge anguage modes (LLMs) Famiiarity with IBMs watsonx product suite Famiiarity with object-oriented programming Anaytica Skis: Strong probem-soving abiities and eagerness to earn

As a Watson AI Deveoper, you woud be responsibe for deveoping and depoying chaenging AI /Chatbot soutions using IBM Watson suite of products with fair knowedge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversationa use cases. Work for smooth deivery of assigned projects Research and impement appropriate Watson AI agorithms and toos Design and soutioning of new requirements Deveop machine earning appications according to requirements Abiity to work independenty and as part of a team in a fast-paced, dynamic deveopment environment. Mentor / ead team in the engagements Be a hands-on person and deiver. Wi be invoved in product instaation/ configurations, troubeshooting (performance, 3rd party integrations, security) Based on customer requirements, deiver the depoyment Work across timezones based on customer requirements Required education Bacheor's Degree Preferred education Bacheor's Degree Required technica and professiona expertise 7+ years’ experience of overa experience 4+ years Experience in AI and ML technoogy Knowedge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Sou Machines Digita Avatar Integrations Any courses on Coud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, wiingness to earn, hardworking and expore/pick-up the skis on their own. Working knowedge on Linux (RHEL, CoreOS, Ubuntu) Depoying software’s on top of Linux and troubeshoot inux reated issues. Good hands-on She scripting, Python, Ansibe, Java Working knowedge with Git, ecipse, docker/podman, kubernets, Jenkins. Knowedge on Dev/ops & Monitoring.

Work with broader team to buid, anayze and improve the AI soutions. You wi aso work with our software deveopers in consuming different enterprise appications Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Resource shoud have 5-7 years of experience. Sound knowedge of Python and shoud know how to use the ML reated services. Proficient in Python with focus on Data Anaytics Packages. Strategy Anayse arge, compex data sets and provide actionabe insights to inform business decisions. Strategy Design and impementing data modes that hep in identifying patterns and trends. Coaboration Work with data engineers to optimize and maintain data pipeines. Perform quantitative anayses that transate data into actionabe insights and provide anaytica, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data patform. Deveop and maintain data modes, agorithms, and statistica modes Preferred technica and professiona experience Experience with conversation anaytics. Experience with coud technoogies Experience with data exporation toos such as Tabeu

Build and integrate solutions using LLMs and Generative AI frameworks . Apply prompt engineering techniques to optimize LLM outputs for various use cases. Fine-tune pre-trained models to align with domain-specific requirements. Work with Azure OpenAI for deploying, scaling, and managing LLM workloads. Understand and implement deep learning architectures like CNNs and RNNs as required for multimodal and NLP tasks. Write clean and modular code to support experimentation and productization of AI models. Collaborate with data scientists, engineers, and business teams to convert problem statements into technical solutions. Stay updated with the latest trends and research in LLMs , deep learning , and Generative AI . Strong logical thinking and problem-solving abilities. Proficiency in Python and ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face). Hands-on experience with Generative AI and LLMs (e.g., GPT, LLaMA, Mistral). Knowledge of prompt engineering strategies for improving model interaction. Experience with Azure OpenAI services (deployment, model management). Understanding of deep learning models like CNN , RNN , and attention mechanisms. Exposure to vector databases , LangChain , or RAG pipelines . Experience in model fine-tuning , quantization, or training from scratch. Familiarity with ML workflows, data preprocessing, and evaluation metrics.

Responsibilities: * Design vision systems using OpenCV & Deep Learning with PyTorch * Develop image processing algorithms for sensor data analysis * Collaborate on computer vision projects from concept to implementation

Naresh IT KPHB & Ameerpet branches are hiring for an experienced Data Science trainers. Candidates Should have a good knowledge of Machine learning , Deep Learning , R Programming; Python, Statistics, Hadoop etc. Mandatory to have training experience Required Candidate profile Training experience is mandatory.

About Aplazo Aplazo is a fast-growing BNPL fintech startup redefining financial access for Mexicos underbanked population. Unlike traditional models, Aplazo serves as a cash alternative , enabling users to split payments online and in-store without a credit card empowering millions with greater financial freedom. With 40% of users lacking credit history , our AI-powered platform reduces credit risk and enables responsible lending. Over 50% of transactions occur in physical stores , proving our deep offline reach in a market where e-commerce remains limited. Backed by $110M in funding (including a recent $70M Series B ), Aplazo is rapidly scaling, helping merchants increase basket size, conversions, and customer loyalty through a tech-first approach . We're building Latin Americas most beloved fintech—one inclusive transaction at a time. Aplazo Story in Techcrunch : https://techcrunch.com/2024/05/13/aplazo/ About ML & AI Labs At Aplazo, our ML & AI team is central to driving innovation and business impact . We tackle high-stakes challenges across domains like risk, payments, personalization, growth, underwriting, fraud detection, and customer experience . Our team has built state-of-the-art credit risk and fraud models , leveraging alternative data and deep learning to serve Mexico’s underbanked population. With robust MLOps infrastructure —including automated CI/CD, model versioning, and real-time monitoring—we ensure scalable, reliable, and high-performing AI solutions. We’ve developed advanced recommendation systems, activation models, and dynamic pricing engines that significantly improve user engagement, marketing efficiency, and CAC optimization . Our work supports key business functions across the customer lifecycle. Highlights & Impact Lowest fraud rate in LATAM , powered by real-time ML inferencing Alternative data lending to drive inclusion for users with no credit history Reinforcement learning for personalized credit limit management Dynamic risk-based pricing to boost customer conversions End-to-end recommendation engine to tailor every user touchpoint Key Responsibilities Work closely with Growth, B2C product, Marketing, Sales, and Engineering teams to identify and prioritize data science projects. Translate complex data insights into actionable for non-technical stakeholders. Create and maintain a roadmap for data science projects that support growth objectives and ensure alignment with company goals. Define the vision for data science initiatives related to customer science, marketing science, and conversational AI for better customer acquisition, engagement, satisfaction, and retention. Promote an AI-first culture within the organization by advocating for the use of data in decision-making processes. Evaluate and integrate cutting-edge technologies and methodologies to keep Aplazo at the forefront of innovation. Understand the end-to-end ML pipeline (data gathering to production). Conduct Data Analyses; your analyses will decide which policies we adopt, where we expand our business, and with whom we partner. Represent Aplazo in industry conferences, webinars, and other public forums. Required Qualifications: Experience: Experience in AI-customer, especially in B2C (Business-to-Consumer), marketing, customer support, and customer growth relevant experience. Experience in developing cutting-edge customer science models for comprehensive customer personalisation, segmentation, rewards and referral systems, conversational AI, and recommendation engines. Experience designing and implementing strategies to enhance customer personalisation to improve customer engagement and retention. a proven track record of developing personalised customer experiences through data analytics and predictive modeling. Experience in growth hacking strategies to drive user acquisition and engagement using AI. Experience with CDPs and leveraging them to unify customer data from various sources for better insights and personalised experiences. Successful implementation of A/B testing, user segmentation, and personalisation to optimise marketing campaigns and marketing effectiveness. Experience working in highly dynamic work environments with a steep learning curve. Experience in statistical modeling, machine learning, data mining, unstructured data analytics, and natural language processing. Sound understanding of - Bayesian Modeling, Classification Models, Cluster Analysis, Neural Networks, Nonparametric Methods, Multivariate Statistics, etc. Leveraging innovation in applying AI to improve customer experiences, including experimenting with emerging technologies and methodologies. Years of experience: 6-12 years of experience in the technology sector, with a significant portion spent working directly with AI/ML technologies. Experience in leading and managing AI/ML projects and teams. Experience working with clients or customers in a leadership capacity, ideally in AI-focused roles. Technical skills: Python programming skill is a must. Strong coding capabilities in ML and Deep learning. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services (e.g., SageMaker, Azure ML, Google AI Platform). Proficiency in project management tools (e.g., Jira, Trello) and agile methodologies (e.g., Scrum, Kanban) to manage AI projects effectively. Familiarity with database queries and data analysis processes. Expertise in NLP techniques and familiarity with tools and libraries like BERT, GPT, spaCy, and NLTK. Experience with various ML/DL algorithms and techniques. Ability to stay updated with the latest research in GenAI and deep learning. Soft skills: Proven leadership experience, including team building, mentoring, and managing cross-functional teams. Strong project management skills with experience in Agile and Scrum methodologies. Excellent verbal and written communication skills. Ability to explain complex technical concepts to non-technical stakeholders and customers. Strategic Thinking: Ability to align AI strategies with business goals and customer needs. Detail-oriented, with the ability to work both independently and collaboratively.

We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns.

Job Purpose This role includes designing and building AI/ML products at scale to improve customer Understanding & Sentiment analysis, recommend customer requirements, recommend optimal inputs, Improve efficiency of Process. This role will collaborate with product owners and business owners. Key Responsibilities Leading a team of junior and experienced data scientists Lead and participate in end-to-end ML projects deployments that require feasibility analysis, design, development, validation, and application of state-of-the art data science solutions. Push the state of the art in terms of the application of data mining, visualization, predictive modelling, statistics, trend analysis, and other data analysis techniques to solve complex business problems including lead classification, recommender systems, product life-cycle modelling, Design Optimization problems, Product cost & weigh optimization problems. Leverage and enhance applications utilizing NLP, LLM, OCR, image based models and Deep Learning Neural networks for use cases including text mining, speech and object recognition Identify future development needs, advance new emerging ML and AI technology, and set the strategy for the data science team Cultivate a product-centric, results-driven data science organization Write production ready code and deploy real time ML models; expose ML outputs through APIs Partner with data/ML engineers and vendor partners for input data pipes development and ML models automation Provide leadership to establish world-class ML lifecycle management processes Job Requirements Qualifications MTech / BE / BTech / MSc in CS or Stats or Maths Experience Over 10 years of Applied Machine learning experience in the fields of Machine Learning, Statistical Modelling, Predictive Modelling, Text Mining, Natural Language Processing (NLP), LLM, OCR, Image based models, Deep learning and Optimization Expert Python Programmer: SQL, C#, extremely proficient with the SciPy stack (e.g. numpy, pandas, sci-kit learn, matplotlib) Proficiency in work with open source deep learning platforms like TensorFlow, Keras, Pytorch Knowledge of the Big Data Ecosystem: (Apache Spark, Hadoop, Hive, EMR, MapReduce) Proficient in Cloud Technologies and Service (Azure Databricks, ADF, Databricks MLflow) Functional Competencies A demonstrated ability to mentor junior data scientists and proven experience in collaborative work environments with external customers Proficient in communicating technical findings to non-technical stakeholders Holding routine peer code review of ML work done by the team Experience in leading and / or collaborating with small to midsized teams Experienced in building scalable / highly available distribute systems in production Experienced in ML lifecycle mgmt. and ML Ops tools & frameworks

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem We are a leader in fleet safety solutions With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth, About Netradyne Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry Netradynes technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways?even off-road, Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc We build cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities/injuries, Role And Responsibilities You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productizing generative AI and deep learning solutions, You will: Design, develop and deploy production ready scalable solutions that utilizes GenAI, Traditional ML models, Data science and ETL pipelines Collaborate with cross-functional teams to integrate AI-driven solutions into business operations, Build and enhance frameworks for automation, data processing, and model deployment, Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions, Conduct research and stay updated with the latest advancements in generative AI and related technologies, Deliver key product features within cloud analytics, Requirements: Tech, M Tech or PhD in computer science, electrical engineering, statistics or math, At least 5 years of working experience in data science, computer vision, or related domain, Proven experience with building and deploying generative AI solutions, Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOP, Experience with Gen-AI tools and workflows, Proficiency in both vision-related AI and data analysis using generative AI, Experience with cloud platforms and deploying models at scale, Experience with transformer architectures and large language models (LLMs), Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face, Proven leadership and team management skills, Desired skills: Working experience with AWS, Azure AI tools is a plus, Technologies such as: Kafka streams, Queues, Rest API systems, Programing language: Python, SQL, C++ (good to have) Tools: Pytorch, FastAPI, MLFlow, Hugging face pipelines, Langgraph, OpenAI Knowledge of best practices in software development, including version control, testing, and continuous integration We are committed to an inclusive and diverse team Netradyne is an equal-opportunity employer We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status, If there is a match between your experiences/skills and the Company's needs, we will contact you directly, Netradyne is an equal-opportunity employer, Applicants only Recruiting agencies do not contact, Recruitment Fraud Alert! There has been an increase in fraud that targets job seekers Scammers may present themselves to job seekers as Netradyne employees or recruiters Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind Official communication about your application will only come from emails ending in ?@netradyne,or ?@us-greenhouse-mail io, Please review and apply to our available job openings at Netradyne,/company/careers For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website,

Position: AI Engineer Computer Vision & Deep Learning Location: Work From Office Hyderabad Hiring an AI Engineer having 5+ years of hands-on experience in AI, Machine Learning, and Computer Vision technologies. InovarTech is a dynamic and innovative IT service and consulting company dedicated to providing cutting-edge solutions to our clients. With a focus on excellence, collaboration, and continuous improvement, we are committed to delivering superior results and fostering a positive and inclusive work environment. We are seeking a skilled AI Engineer with 5+ years of expertise in Computer Vision and Deep Learning. The ideal candidate will have a strong track record of building innovative, production-ready AI solutions. Proficiency in developing robust ML models and applying modern AI frameworks is essential. Responsibilities: Strong hands-on experience in Python programming. Proven expertise with PyTorch and TensorFlow frameworks. Experience working with NumPy, Pandas and OpenCV libraries. Solid understanding and hands-on experience in Computer Vision and Image Processing (SIFT, SURF). Expertise in designing and implementing Neural Networks, including CNN architectures such as ResNet, YOLO or VGG. Proficiency in RNN, RCNN, LSTM or GRU models for sequence-based data. Experience in Video Analysis techniques and solutions. Ability to preprocess, clean, and manipulate large volumes of unstructured image/video data. Experience in training, fine-tuning, and deploying deep learning models. Understanding of model evaluation, hyperparameter tuning, and optimization techniques. Excellent problem-solving skills and ability to translate business problems into AI/ML solutions. Familiarity with cloud platforms and deployment of AI models will be a plus. Strong communication and presentation skills. Ability to collaborate and drive discussions with internal teams and clients. Requirements: Hands-on experience in building and deploying AI/ML solutions. Experience with Computer Vision tasks such as object detection, classification, segmentation, and tracking. Proficiency in model optimization for real-time applications. Good understanding of Machine Learning lifecycle and MLOps. Ability to write clean, modular, and scalable code. Should be willing to learn and adopt new AI technologies as per project needs. Experience supporting global clients/working with international teams is a plus. Should be willing to travel abroad based on customer requirements. Ability to mentor junior members in the team. Additional Information: Competitive salary and performance-related bonuses. Comprehensive health and accident insurance plans. Professional development opportunities. Flexible work arrangements. 5-day work week. Fun and inclusive company culture.

As an Senior Automation Analyst, you will have the unique opportunity to influence and drive decisions with an advanced logical mindset, process oriented and a background in leveraging technologies to drive results. Provides primary support for assigned systems and applications. Works independently with limited support. Prior Experience in Healthcare domain will be an added advantage. Excellent interpersonal & competent analytical skills. Strong team player attitude to deliver necessary requirements on time and ability to work through obstacles under challenging circumstances. Should be able to work in shifts as required by the project. Be self-motivated and eager to engage in high impact, challenging engineering problems while continuously raising the standard of quality in our products and services. Willing to adapt new technologies and skills in automation. Key Responsibilities: Analyzes the business processes and assessing the automation potentials. Expertise in end-to-end development of bots and implementing the full life cycle of process automation solutions: identify automation opportunities, designing solutions, develop, test, & deploy using RPA, Chatbot, IDP, Test automation and etc... Expertise in designing and implementing intelligent automation solution using Machine Learning, Deep Learning, Python etc. Ability to build reusable components which can be shared and used across different projects to save efforts. Responsibilities to set a strategic direction for automation and managing day-to-day operations, establish high performing service delivery organization. Collaborates with others on the project to brainstorm and finding efficient ways to tackle technical, infrastructure, security, or development problem. Plans and accompanies the smooth transition from project to stable operations from a technical perspective, Demonstrate technical leadership with incident handling and troubleshooting. Ensures adequate technical project documentation. Develops automation portfolio gathering requirements from the functions / cross-functions. Actively manages and monitors the overall project schedule and milestones. Coordinates tasks and communication both within and outside of the project team, ensuring communication with all relevant stakeholders. Pro-actively assesses and mitigates project risks. Ability to familiarize himself / herself independently with entirely new subjects and thus provide comprehensive and innovative solutions. Minimum Qualifications: Minimum of 6+years of experience working with UiPath. Minimum 6 years of Experience with automation technologies like UiPath's RPA, Automation Hub, Process Mining, Insights, Document Understanding, AI Center, Action Center, RASA framework, AI/ML,NLP, Microsoft's Powerautomate and etc. Experience in UiPath's test automation solutions. Experience of development in agile methodology and following best practices. Experience in Project tracking and Defect Management tools such as JIRA, HP ALM and etc. Experience in one of the standard scripting languages such as Python,.NET, PL/SQL and etc. Experience in managing and maintaining applications hosted on cloud. Debugging and troubleshooting skills, with an enthusiastic attitude to support and resolve problems. Working knowledge of information security and best practices. Service Delivery Management mindset. Minimum of Bachelors degree or similar degree applicable experience within information systems. Excellent written and verbal communications skills. Preferred Qualifications: Experience in building dashboards and aggregating metrics. Experience building GenAI & RAG solution using Azure OpenAI. Flexibility to adopt to new technologies and drive initiatives to integrate these technologies with existing platform/technologies available. Exposure to working with RASA or other chatbot technologies. Exposure to large-scale systems and application architectures. Experience in creating and managing technical documents. Experience in GxP process will be an added advantage. Linux and Windows scripting (BASH and Powershell). Working knowledge of Network Topology and communications protocols e.g. TCP/IP, Telnet, SMTP, FTP. General DevOps automation, build, deployment, configuration of multiple environments.

Attend to Technical Calls inbound from customers on breakdown of system on site. Troubleshooting system issues/error/alert & alarm with sound understanding for maintenance of system/IP with logical and technical skills relevant to Lab Water Solution Product portfolio and significant water filtration knowledge. Inform inhouse for urgent clinical customer support in-site where priority dwells on critical scenario (as hospitals and GSA). Handle Work Order processed by Partners in Field (Field Service Engineers) on relevant fields necessary before closing the WO as valid for billing and unbilled covered task carried out in site. Push Billable Repair Quotes for scheduled Repair on system as they possess potential of an order. Chase Billable Work Order for payment to close before billing cycle. Renewal follow-up of Service contract as they provide ease of repair when maintained periodically by inhouse wrt subscriptions. With the above scope of responsibility, managing workflow of transactional activity. Creating effective communication on process during BCP and internal resource availability. Completing task within SLA agreed timeline and quality metrics and service objectives. Creating critical review on non GXP activities. Implementing changes aligned to change management and strategic requirements. Who You are: years of experience Strong Communication, technical knowledge on instrumentation and equipment, call handing, customer handling, troubleshooting of instrumentation. Preferred Requirements: Power BI, basic AI, teamwork. Problem solving. Stakeholder management.

Job Description: We are seeking a highly skilled and motivated Data Scientist with strong expertise in DS Concepts & GenAI. You will play a key role in lead and manage the projects for developing AI-powered applications, tools, and workflows that solve real-world business problems. Responsibilities: Data Science & Analytics Contribute to the development of machine learning models, statistical analyses, and AI solutions. Review and validate models for accuracy, scalability, and business relevance. Ensure best practices in data preprocessing, feature engineering, and model evaluation. Stay updated with the latest advancements in data science, ML, and AI technologies. GenAI & Agentic AI (Good to have) Good knowledge of LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), GenAI models and Agentic AI frameworks Implement Agentic AI systems that can autonomously perform tasks, reason, and adapt Lead projects involving text generation, chatbots, synthetic data creation, and AI-driven works Project & Team Management: Manage data science projects, ensuring timely delivery and alignment with business goals. Coordinate between data scientists, engineers, and business stakeholders to define project requirements. Track project progress, identify risks, and propose mitigation strategies. Support the hiring, onboarding, and mentoring of junior data scientists. Tools & Technologies: Evaluate and recommend data science tools, platforms, and libraries. Assist in managing cloud-based ML environments (AWS, Azure, GCP) or on-prem solutions. Support MLOps processes for model deployment and monitoring. Skills: Strong working experience in Python/R, SQL, Data Science libraries (Pandas, NumPy, Scikit-learn, etc), ML frameworks (TensorFlow, PyTorch, etc) Familiar with big data tools (Spark, Hadoop) and cloud platforms (AWS/Azure/GCP). Knowledge of MLOps, CI/CD pipelines, and model deployment. Proficiency in data visualization (PowerBI/Tableau, Matplotlib/Seaborn). Excellent Communication, Leadership, and Problem-solving skills. Bachelors/Master’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science or related fields. Hands-on Data Science project experience is a must and Data Science/AI Certifications will be a huge plus. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Position Title Head (AI/ML) Reporting to CTO and Founder, Advisory Board. Job locations - Gurugram Role Description This is a full-time on-site role for a Head (AI/ML) in Gurugram. The Head will be responsible for leading the AI/ML strategy and implementation, overseeing software development, managing IT projects, defining IT strategies and architectures, and driving product development initiatives. The candidates should be at least 10 years experience with 3-5 year in the field of AI/ML. Exposure to healthcare will be added advantage. Qualifications Software Development skills Project Management skills IT Strategy and Architecture expertise Product Development experience Strong background in AI/ML technologies Excellent leadership and communication skills Ability to collaborate with cross-functional teams Experience in the healthcare IT industry is a plus Master's degree in Computer Science or related field Education qualification Master in Computer Science or equivalent Experience range 10 years with 3 4 year in AI/ML Mandatory skills, domain etc Please submit your resume along with a cover letter highlighting your relevant experience and skills & other details like Current CTC (fixed plus variable) Offer in hand (fixed plus variable) Expected CTC Notice period Current Location Open to work from office at Gurgaon Experience in Healthcare domain( good to have) Hands on experience and self rating in the scale of 10 , 10 being the maximum 1. GenAI 2. Predictive AI 3. LLM 4. DL 5. NLP 6. Computer vision/ Assuring you of the best assistance in search of the right career opportunity Thanks & Regards, Surender Intelli Search Services Pvt Ltd, Email: sp@intellisearchonline.net Mobile: 9590270707

Hi All, We are hiring an Machine Learning Engineer for MNC Company AI/ML Engineer Experience- 9- 14 Years Location- Bangalore/Hyderabad/Mumbai/Kolkata Work Mode- Hybrid Mode Interview Mode- Virtual Notice Period- Immediate Joiner Job Description: - Skills- ML Engineer (Advanced AI/ML + Python)- C2/D1 This role leverages machine learning & advanced AI services to generate business insights • 8+ Years of relevant experience in Machine learning & Deep learning (GenAI-optional) experience • Experience in deploying NLP, CV & Deep learning algorithms • Experience in leading teams and managing the end-to-end deliverables. Exposure to MLOps implementations • Leadership abilities to guide and mentor junior team members. • Design and implement scalable and reliable ML pipelines for model training, evaluation and deployment • Advanced degree in Data Science, Statistics, Computer Science, or a related field. • Proficiency in Python, Git, Github,Pyspark, Pytorch, , SQL and strong expertise of AI/ML algorithms is essential with knowledge of AWS cloud ML services. • Strong analytical skills & communication skills. Ability to interpret complex data sets. Responsibilities- Lead the development and implementation of predictive models and machine learning algorithms. • Design and implement scalable and reliable ML pipelines for model training, evaluation and deployment • Collaborate with CMA CGM cross-functional teams to understand business needs and devise possible solutions. • Present and visualize data insights to stakeholders in a comprehensible manner. If Anyone intertested for this position plesase share your Resume on this Mail id- Priya.singhal@thehrsolutions.in Regards & Thanks Priya Singhal

As an Applied AI Engineer, you will work at the intersection of AI research and practical implementation. You will develop machine learning (ML) and deep learning (DL) models, integrate them into our SaaS platform, and optimize them for scalability, performance, and business impact. Key Responsibilities: Data Engineering & Feature Engineering: Work with structured and unstructured data to build high-quality datasets. Develop robust feature engineering pipelines to improve model accuracy. Implement data preprocessing and augmentation techniques. MLOps & AI Infrastructure: Build and maintain ML pipelines for continuous integration and deployment (CI/CD). Implement model monitoring, retraining, and performance tracking frameworks. Work with cloud platforms (AWS, GCP, Azure) for AI model deployment and scaling. AI Integration in SaaS Applications: Collaborate with software engineers to integrate AI models into customer-facing SaaS products. Develop APIs and microservices for seamless AI-powered functionalities. Optimize inference performance for real-time and batch processing scenarios. Collaboration & Research: Stay updated with the latest AI research and bring innovative solutions to production. Work closely with product managers, designers, and engineers to align AI capabilities with business goals. Participate in code reviews, knowledge sharing, and AI/ML best practices. Prompt Engineering: Design, develop, and refine AI-generated text prompts for various applications to ensure accuracy, engagement, and relevance Craft and optimize prompts that guide our AI systems to generate accurate, informative, and creative outputs Build accessible libraries of prompts, keywords, and syntax guidelines for optimal query results Develop robust evaluation frameworks to assess AI model performance and prompt effectiveness Test and analyze outputs by experimenting with different prompts and measuring against defined metrics Create dashboards and reporting tools to track AI performance across multiple dimensions Apply human judgment to identify gaps in AI-generated output and refine prompts accordingly Implement continuous improvement processes based on evaluation insights What Were Looking For: Experience: 5-6 years in AI/ML engineering, with hands-on experience in Generative AI, NLP and deploying AI solutions at scale. Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency in Python Help assess performance metrics, develop novel agent frameworks, create and oversee data workflows, and conduct extensive testing to deploy innovative capabilities. Ship with high intent and work with the team to improve your ability to iterate and ship AI-powered features over time. Experience with data processing tools (Pandas, NumPy, Spark, Dask). Familiarity with MLOps, CI/CD, and cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML). AI Deployment & Optimization: Experience with optimizing models for performance, interpretability, and real-time applications. Strong Problem-Solving Skills: Ability to translate business problems into AI-driven solutions. SaaS Experience (Preferred): Understanding of how AI enhances SaaS applications and workflows.