1258 Opencv Jobs - Page 5

Senior Consultant - Data Scientist Date: Jul 25, 2025 Location: Chennai, IN Requisition ID: 14612 Description: About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Position Summary: As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Job Title: Sr. Consultant- Data Scientist Key Responsibilities: Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments Required Skills and Qualifications: Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). Generative AI: Experience with generative models such as GANs, VAEs or Transformers. Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. Strong Analytical Skills: Ability to translate complex data into actionable insights. Communication: Excellent written and verbal communication skills Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. ️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

We are seeking a proactive Computer Vision Engineer who excels in dynamic environments and has a passion for developing practical AI systems. If you have a keen interest in working with video, visual data, cutting-edge ML models, and resolving impactful challenges, we are eager to connect with you. This position merges deep learning, computer vision, and edge AI, focusing on constructing scalable models and intelligent systems to drive our advanced sports technology platform. Your responsibilities will include designing, training, and refining deep learning models for real-time object detection, tracking, and video comprehension. You will be responsible for implementing and deploying AI models utilizing frameworks such as PyTorch, TensorFlow/Keras, and Transformers. Working with video and image datasets using tools like OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib will be a key aspect of your role. Collaborating closely with data engineers and edge teams to deploy models on real-time streaming pipelines will also be part of your duties. Additionally, you will need to optimize inference performance for edge devices such as Jetson and T4, and manage video ingestion workflows. You will also be expected to rapidly prototype new concepts, perform A/B tests, and validate enhancements in real-world scenarios. Clear documentation of processes, effective communication of findings, and contributing to the expansion of our AI knowledge base are essential aspects of this role. To be successful in this position, you should possess a strong command of Python and have familiarity with C/C++. Experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras is required. A solid understanding of YOLO, Transformers, or OpenCV for real-time visual AI is essential. Proficiency in data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc., is also necessary. A good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques is expected. Exposure to video streaming workflows like GStreamer, FFmpeg, and RTSP will be advantageous. The ability to write clean, modular, and efficient code is crucial for this role. Experience in deploying models in production, particularly on GPU/edge devices, is highly valued. An interest in reinforcement learning, sports analytics, or real-time systems will be considered a plus. An undergraduate degree in Computer Science, Artificial Intelligence, or a related field is required, while a Master's or PhD is preferred. A strong academic background will be beneficial for this position.,

As a Senior Data Scientist / AI Engineer with 8-10 years of experience, you will be a vital part of our team working on developing an AI-enabled ERP solution. Your primary responsibilities will include designing scalable AI models, implementing ML pipelines, and exploring the latest AI technologies to drive innovation. Additionally, you will play a crucial role in managing and mentoring a team of data scientists and AI engineers to foster a collaborative and efficient work environment. Your key responsibilities will involve designing and building AI models from scratch, optimizing machine learning algorithms, and integrating them into our ERP solution. You will also be responsible for developing and maintaining an AI development and deployment pipeline using cloud and containerized solutions. Furthermore, conducting R&D activities to identify opportunities for AI-driven automation, working on sentiment analysis, NLP, and computer vision tasks, and deploying ML models while ensuring seamless integration into production systems will be part of your role. Collaboration with product teams to align AI strategies with business objectives, leading and mentoring a team of data scientists and AI engineers, and fostering a collaborative team culture are essential aspects of this role. Your expertise in Python and ML frameworks, strong understanding of ML algorithms, experience with deep learning architectures, NLP, and computer vision, along with hands-on experience in deploying AI models using Flask APIs, Docker, and Kubernetes are critical for success in this position. Preferred skills include knowledge of Java, experience with software development best practices, understanding of SDLC, version control, CI/CD pipelines, and experience with Big Data technologies. If you are passionate about working with AI-driven products and have a proven track record of solving real-world challenges, we are excited to hear from you! This is a full-time position located in Trivandrum/Kochi, with a remote option available initially. If you have a minimum of 8 years of experience in AI, Machine Learning, or Data Science roles, and have worked on AI model deployment or building AI pipelines, we encourage you to apply. Leadership and team management experience, along with the ability to guide and develop junior team members, are essential requirements for this role. Your strong problem-solving skills, ability to articulate AI concepts effectively, and experience in interacting with clients to communicate AI-driven solutions will be highly valued.,

Vehant Technologies is an IIT-Delhi incubated technology products firm that was founded in 2005. We are pioneers in Artificial Intelligence/Machine Learning-based Physical Security, Surveillance, and Traffic Monitoring & Junction Enforcement Solutions. Our products are designed and developed in India, manufactured in India and Europe to meet global standards, features, and quality. Our Security Screening Solutions portfolio offers a range of efficient products including Under Vehicle Scanning System, X-ray Baggage Scanner, Explosive Trace Detector, and Automated Number Plate Recognition System. In addition, our Smart & Safe City Solutions feature TrafficMon - a video-based, Artificial Intelligence, and Machine Learning powered traffic enforcement and management solution that detects violations such as Red light jump, Over Speeding, No Helmet riding, Triple Riding, Wrong Lane movement, and various other traffic violations in real-time. Furthermore, our Enterprise Analytics Solutions focus on implementing enterprise data analytics strategies at every level of business. We also offer Covid Safety Solutions including AI-based thermal temperature screening and intelligent analytics Solutions. As a part of our team, your responsibilities will include: - Leading a team of image processing engineers to develop and implement state-of-the-art image processing algorithms and systems - Designing, developing, and optimizing image processing pipelines for various applications - Integrating image processing algorithms into larger systems by collaborating with other teams - Creating and maintaining project plans and timelines - Reviewing and analyzing project requirements, providing technical guidance to the team - Collaborating with researchers and engineers to develop new image processing technologies - Ensuring best practices for software development, code reviews, and testing are followed by the team - Managing and prioritizing project activities, making strategic decisions for successful project completion - Mentoring and training team members for their professional development and growth - Regularly communicating with stakeholders to provide updates, manage expectations, and align with business objectives Qualifications required for this role include: - Bachelor's or master's degree in Computer Science, Electrical Engineering, or related field - Experience in leading a team of engineers - Strong knowledge of image processing algorithms and techniques such as image enhancement, segmentation, and feature extraction - Proficiency in programming languages like C++ or Python - Experience with Image processing libraries such as OpenCV, IPL, etc - Excellent problem-solving skills and ability to work in a fast-paced environment - Strong communication skills and ability to collaborate effectively - Prioritization and project management skills for handling multiple projects simultaneously - Experience with agile development methodologies is a plus - Desirable: Experience with deep learning frameworks such as TensorFlow, PyTorch, etc If you are passionate about image processing and leading a team of talented engineers to develop cutting-edge technology, we encourage you to apply for this exciting opportunity. Please note that this is a work from office role.,

As a Data Scientist AI/ML Developer, you will be responsible for various key tasks related to data collection, analysis, model development, and implementation of advanced technologies. You should have a strong understanding of data science methodologies and experience in working with machine learning models. This position is suitable for freshers as well as candidates with up to 5 years of experience. Your primary responsibilities will include gathering, cleaning, and analyzing large datasets for diverse applications. You will also be involved in building, training, and evaluating machine learning and deep learning models for tasks related to computer vision, natural language processing (NLP), and generative AI. You will utilize OpenCV to create solutions for image classification, object detection, facial recognition, and other vision-based tasks. Additionally, you will develop and fine-tune Generative Adversarial Networks (GANs) for synthetic data generation and image manipulation. Collaboration with cross-functional teams is essential in this role, as you will work closely with data engineers, software developers, and business analysts to integrate data-driven insights into production environments. Staying updated with the latest developments in AI, data science, and generative AI is crucial, and you should be able to apply best practices to projects effectively. Ensuring that machine learning models and data pipelines are scalable, efficient, and ready for production deployment is also a key part of your responsibilities. In terms of required skills, you should have strong proficiency in computer vision techniques using OpenCV, hands-on experience with Generative Adversarial Networks (GANs), and familiarity with LangChain, GPT models, and other generative AI frameworks. Proficiency in Python and relevant ML libraries such as TensorFlow and PyTorch is essential. Expertise in data preprocessing, feature engineering, and working with large datasets is also required. Preferred skills include experience in Natural Language Processing (NLP), model deployment using cloud services and containerization, familiarity with transformer architectures, and knowledge of big data technologies. Additionally, possessing soft skills such as strong problem-solving abilities, effective communication, and a continuous learning mindset will be advantageous in this role.,

Job Title: AI/ML Engineer (Python AWS REST APIs) Department: Web Location: Indore Job Type: Full-time Experience: 3-5 years Notice Period: 0-15 days (immediate joiners preferred) Work Arrangement: On-site (Work from Office) Overview Advantal Technologies is seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality of an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs. Key Responsibilities: AI/ML Development Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees. Build synthetic datasets using DCGANs for balancing. Fine-tune pre-trained models for customized encryption logic. Implement explainable classification logic for model outputs. Validate model performance using custom metrics and datasets. API Development Design and develop Python RESTful APIs using FastAPI or Flask for: Image upload and classification Model inference endpoints Encryption trigger calls Integrate APIs with AWS Lambda and Amazon API Gateway. AWS Integration Deploy and manage AI models on Amazon SageMaker for training and real-time inference. Use AWS Lambda for serverless backend compute. Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL). Use AWS Cognito for secure user authentication and KMS for key management. Monitor job status via CloudWatch and enable secure, scalable API access. Required Skills & Experience: Must-Have 35 years of experience in AI/ML (especially vision-based systems). Strong experience with PyTorch or TensorFlow for model development. Proficient in Python with experience building RESTful APIs. Hands-on experience with Amazon SageMaker, Lambda, API Gateway, and S3. Knowledge of OpenSSL/PyCryptodome or basic cryptographic concepts. Understanding of model deployment, serialization, and performance tuning. Nice-to-Have Experience with CLIP model fine-tuning. Familiarity with Docker, GitHub Actions, or CI/CD pipelines. Experience in data classification under compliance regimes (e.g., GDPR, HIPAA). Familiarity with multi-tenant SaaS design patterns. Tools & Technologies: Python, PyTorch, TensorFlow FastAPI, Flask AWS: SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS Git, Docker, Postgres, OpenCV, OpenSSL If interested, please share your resume to hr@advantal.ne.

Experience-5+years Notice Period-30days or Early Joiners Must have Skills-LLM, Advance RAG, NLP, transformer model, LangChain Please send resume to umaparvathyC@hexaware.com Job Description: Primary Skills Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Experience with Generative AI models like GANs, VAEs, and transformers. Knowledge of Agentic AI concepts and applications. Proficiency in data preprocessing, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. Python Fast API experience, SDA based implementations for all the APIs. Good understanding of Prompt Engineering Deep Learning Frameworks: TensorFlow, PyTorch, Keras Generative AI Models: GANs, VAEs, Transformers Agentic AI Tools: OpenAI Gym, Unity ML-Agents Natural Language Processing Libraries: NLTK, SpaCy, Hugging Face Transformers Computer Vision Libraries: OpenCV, TensorFlow, PyTorch Secondary Skills Expertise in building, deploying, and fine-tuning natural language understanding, questioning, and semantic reasoning systems. Experience in improving and fine-tuning model performance and implementing new technologies. Data pipelines, Data Analytics

Electronics Embedded Engineer Experience: 0 - 2 Years Exp Salary: INR 4-6 Lacs per annum Preferred Notice Period : 15 Days Shift : 10:00 AM to 6:00 PM IST Opportunity Type: Office (Kota) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : UART OR Embedded Linux OR SPI OR I2CandRaspberry Pi OR Eagle and Develop Product Requirement Documents (PRDs) Eeki (One of Uplers' Clients) is Looking for: Electronics Embedded Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Responsibilities: Design and test embedded hardware interfaces for sensors and communication modules. Develop Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. Perform schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and manage PCB manufacturing and assembly. Oversee board bring-up activities including debugging and validation. Manage vendors including EMS/contract manufacturers and component suppliers — conduct audits and support onboarding. Handle import logistics for electronic components, including CHIMS certification, coordination with clearing agents, and required documentation. Plan project budgets and define test strategies, including firmware development, field testing, and validation. Design custom test jigs and manage product certification processes (EMI/EMC, environmental compliance). Define manufacturing strategies and establish end-to-end logistics operations. Integrate microcontrollers, power systems, and wireless interfaces such as Wi-Fi, LoRa, and 4G. Support board bring-up with a focus on EMC compliance and power optimization Required skills and qualifications: Embedded Linux, UART, I2C, SPI Power optimization and signal integrity PCB bring-up, debugging, and validation Jetson Nano, Raspberry Pi, and other SBCs Hardware integration of edge AI systems Schematic and PCB design tools (e.g., Altium Designer, KiCAD, Eagle) Job Title: Manufacturing & Field Deployment Lead Responsibilities: Develop low-level firmware for precise control and interfacing of sensors and camera modules. Optimize and deploy edge machine learning (ML) models on embedded platforms such as NVIDIA Jetson Nano and Raspberry Pi. Manage hardware interfaces for wireless connectivity including Wi-Fi, LoRa, and 4G LTE. Implement and maintain robust Over-The-Air (OTA) update mechanisms for remote firmware deployment and device management. Design and execute strategies for efficient power management across edge computing systems and sensor networks. Required skills and qualifications: C/C++ for embedded firmware Edge ML frameworks (TensorRT, OpenCV, PyTorch Lite) Connectivity protocols (MQTT, HTTP, custom serial protocols) OTA frameworks and secure firmware updates Power profiling and low-power design techniques How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Brand of cucumber, bottle gourds & green chilies. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Electronics Embedded Engineer Experience: 0 - 2 Years Exp Salary: INR 4-6 Lacs per annum Preferred Notice Period : 15 Days Shift : 10:00 AM to 6:00 PM IST Opportunity Type: Office (Kota) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : UART OR Embedded Linux OR SPI OR I2CandRaspberry Pi OR Eagle and Develop Product Requirement Documents (PRDs) Eeki (One of Uplers' Clients) is Looking for: Electronics Embedded Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Responsibilities: Design and test embedded hardware interfaces for sensors and communication modules. Develop Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. Perform schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and manage PCB manufacturing and assembly. Oversee board bring-up activities including debugging and validation. Manage vendors including EMS/contract manufacturers and component suppliers — conduct audits and support onboarding. Handle import logistics for electronic components, including CHIMS certification, coordination with clearing agents, and required documentation. Plan project budgets and define test strategies, including firmware development, field testing, and validation. Design custom test jigs and manage product certification processes (EMI/EMC, environmental compliance). Define manufacturing strategies and establish end-to-end logistics operations. Integrate microcontrollers, power systems, and wireless interfaces such as Wi-Fi, LoRa, and 4G. Support board bring-up with a focus on EMC compliance and power optimization Required skills and qualifications: Embedded Linux, UART, I2C, SPI Power optimization and signal integrity PCB bring-up, debugging, and validation Jetson Nano, Raspberry Pi, and other SBCs Hardware integration of edge AI systems Schematic and PCB design tools (e.g., Altium Designer, KiCAD, Eagle) Job Title: Manufacturing & Field Deployment Lead Responsibilities: Develop low-level firmware for precise control and interfacing of sensors and camera modules. Optimize and deploy edge machine learning (ML) models on embedded platforms such as NVIDIA Jetson Nano and Raspberry Pi. Manage hardware interfaces for wireless connectivity including Wi-Fi, LoRa, and 4G LTE. Implement and maintain robust Over-The-Air (OTA) update mechanisms for remote firmware deployment and device management. Design and execute strategies for efficient power management across edge computing systems and sensor networks. Required skills and qualifications: C/C++ for embedded firmware Edge ML frameworks (TensorRT, OpenCV, PyTorch Lite) Connectivity protocols (MQTT, HTTP, custom serial protocols) OTA frameworks and secure firmware updates Power profiling and low-power design techniques How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Brand of cucumber, bottle gourds & green chilies. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : Fresher Salary : INR 400000-600000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Kota) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Eeki) What do you need for this opportunity? Must have skills required: UART, Embedded Linux, SPI, I2C, Jetson Nano, Raspberry Pi, Altium Designer, KiCAD, Eagle, Develop Product Requirement Documents (PRDs) Eeki is Looking for: Job title : Electronic Embedded Engineer Responsibilities: Design and test embedded hardware interfaces for sensors and communication modules. Develop Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. Perform schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and manage PCB manufacturing and assembly. Oversee board bring-up activities including debugging and validation. Manage vendors including EMS/contract manufacturers and component suppliers — conduct audits and support onboarding. Handle import logistics for electronic components, including CHIMS certification, coordination with clearing agents, and required documentation. Plan project budgets and define test strategies, including firmware development, field testing, and validation. Design custom test jigs and manage product certification processes (EMI/EMC, environmental compliance). Define manufacturing strategies and establish end-to-end logistics operations. Integrate microcontrollers, power systems, and wireless interfaces such as Wi-Fi, LoRa, and 4G. Support board bring-up with a focus on EMC compliance and power optimization Required skills and qualifications: Embedded Linux, UART, I2C, SPI Power optimization and signal integrity PCB bring-up, debugging, and validation Jetson Nano, Raspberry Pi, and other SBCs Hardware integration of edge AI systems Schematic and PCB design tools (e.g., Altium Designer, KiCAD, Eagle) Job Title: Manufacturing & Field Deployment Lead Responsibilities: Develop low-level firmware for precise control and interfacing of sensors and camera modules. Optimize and deploy edge machine learning (ML) models on embedded platforms such as NVIDIA Jetson Nano and Raspberry Pi. Manage hardware interfaces for wireless connectivity including Wi-Fi, LoRa, and 4G LTE. Implement and maintain robust Over-The-Air (OTA) update mechanisms for remote firmware deployment and device management. Design and execute strategies for efficient power management across edge computing systems and sensor networks. Required skills and qualifications: C/C++ for embedded firmware Edge ML frameworks (TensorRT, OpenCV, PyTorch Lite) Connectivity protocols (MQTT, HTTP, custom serial protocols) OTA frameworks and secure firmware updates Power profiling and low-power design techniques Salary : 4-6lpa Location : Kota, Rajasthan Monday to Saturday 10 am to 6pm How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Electronics Embedded Engineer Experience: 0 - 2 Years Exp Salary: INR 4-6 Lacs per annum Preferred Notice Period : 15 Days Shift : 10:00 AM to 6:00 PM IST Opportunity Type: Office (Kota) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : UART OR Embedded Linux OR SPI OR I2CandRaspberry Pi OR Eagle and Develop Product Requirement Documents (PRDs) Eeki (One of Uplers' Clients) is Looking for: Electronics Embedded Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Responsibilities: Design and test embedded hardware interfaces for sensors and communication modules. Develop Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. Perform schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and manage PCB manufacturing and assembly. Oversee board bring-up activities including debugging and validation. Manage vendors including EMS/contract manufacturers and component suppliers — conduct audits and support onboarding. Handle import logistics for electronic components, including CHIMS certification, coordination with clearing agents, and required documentation. Plan project budgets and define test strategies, including firmware development, field testing, and validation. Design custom test jigs and manage product certification processes (EMI/EMC, environmental compliance). Define manufacturing strategies and establish end-to-end logistics operations. Integrate microcontrollers, power systems, and wireless interfaces such as Wi-Fi, LoRa, and 4G. Support board bring-up with a focus on EMC compliance and power optimization Required skills and qualifications: Embedded Linux, UART, I2C, SPI Power optimization and signal integrity PCB bring-up, debugging, and validation Jetson Nano, Raspberry Pi, and other SBCs Hardware integration of edge AI systems Schematic and PCB design tools (e.g., Altium Designer, KiCAD, Eagle) Job Title: Manufacturing & Field Deployment Lead Responsibilities: Develop low-level firmware for precise control and interfacing of sensors and camera modules. Optimize and deploy edge machine learning (ML) models on embedded platforms such as NVIDIA Jetson Nano and Raspberry Pi. Manage hardware interfaces for wireless connectivity including Wi-Fi, LoRa, and 4G LTE. Implement and maintain robust Over-The-Air (OTA) update mechanisms for remote firmware deployment and device management. Design and execute strategies for efficient power management across edge computing systems and sensor networks. Required skills and qualifications: C/C++ for embedded firmware Edge ML frameworks (TensorRT, OpenCV, PyTorch Lite) Connectivity protocols (MQTT, HTTP, custom serial protocols) OTA frameworks and secure firmware updates Power profiling and low-power design techniques How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Brand of cucumber, bottle gourds & green chilies. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

We are seeking a Data Scientist with 3 to 5 years of experience to join our data and analytics team. In this role, you will leverage data to develop and deploy predictive models, uncover actionable insights, and support data-driven decision-making across business units. This position requires a strong foundation in statistics, machine learning, and programming, combined with the ability to communicate findings clearly to both technical and non-technical stakeholders. Key Responsibilities Analyze complex datasets to identify trends, patterns, and insights that drive business outcomes. Design and develop machine learning models for classification, regression, recommendation, clustering, or forecasting. Clean, transform, and enrich data from diverse sources to support modeling and reporting. Work closely with product, engineering, and operations teams to scope problems and translate them into data science solutions. Design and execute A/B testing frameworks for product and marketing optimization. Visualize and present results using dashboards and storytelling techniques that influence decisions. Monitor and improve deployed models and pipelines for performance and stability. Ensure data quality, security, and compliance with governance standards. Required Qualifications Bachelor's or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 35 years of practical experience in a data science or machine learning role. Proficiency in Python (NumPy, pandas, scikit-learn, etc.) or R. Strong command of SQL and working knowledge of relational databases. Solid understanding of statistical methods, hypothesis testing, and model evaluation techniques. Hands-on experience building and tuning supervised and unsupervised models. Experience working with version control systems (e.g., Git) and reproducible workflows. Preferred Qualifications Experience with cloud platforms like AWS (SageMaker), GCP (Vertex AI), or Azure. Familiarity with big data tools like Spark, Hive, Presto, or Snowflake. Exposure to MLOps practices and tools such as MLflow, Airflow, or Docker. Experience with data visualization tools like Tableau, Power BI, Plotly, or matplotlib. Business acumen to frame open-ended problems and translate insights into action.

Responsibilities: * Develop AI solutions using OpenCV, machine learning & neural networks. * Collaborate with radiation oncologists on research projects. * Implement Python scripts with TensorFlow or PyTorch. * have experience in image processing

Electronics Embedded Engineer Experience: 0 - 2 Years Exp Salary: INR 4-6 Lacs per annum Preferred Notice Period : 15 Days Shift : 10:00 AM to 6:00 PM IST Opportunity Type: Office (Kota) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : UART OR Embedded Linux OR SPI OR I2CandRaspberry Pi OR Eagle and Develop Product Requirement Documents (PRDs) Eeki (One of Uplers' Clients) is Looking for: Electronics Embedded Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Responsibilities: Design and test embedded hardware interfaces for sensors and communication modules. Develop Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. Perform schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and manage PCB manufacturing and assembly. Oversee board bring-up activities including debugging and validation. Manage vendors including EMS/contract manufacturers and component suppliers — conduct audits and support onboarding. Handle import logistics for electronic components, including CHIMS certification, coordination with clearing agents, and required documentation. Plan project budgets and define test strategies, including firmware development, field testing, and validation. Design custom test jigs and manage product certification processes (EMI/EMC, environmental compliance). Define manufacturing strategies and establish end-to-end logistics operations. Integrate microcontrollers, power systems, and wireless interfaces such as Wi-Fi, LoRa, and 4G. Support board bring-up with a focus on EMC compliance and power optimization Required skills and qualifications: Embedded Linux, UART, I2C, SPI Power optimization and signal integrity PCB bring-up, debugging, and validation Jetson Nano, Raspberry Pi, and other SBCs Hardware integration of edge AI systems Schematic and PCB design tools (e.g., Altium Designer, KiCAD, Eagle) Job Title: Manufacturing & Field Deployment Lead Responsibilities: Develop low-level firmware for precise control and interfacing of sensors and camera modules. Optimize and deploy edge machine learning (ML) models on embedded platforms such as NVIDIA Jetson Nano and Raspberry Pi. Manage hardware interfaces for wireless connectivity including Wi-Fi, LoRa, and 4G LTE. Implement and maintain robust Over-The-Air (OTA) update mechanisms for remote firmware deployment and device management. Design and execute strategies for efficient power management across edge computing systems and sensor networks. Required skills and qualifications: C/C++ for embedded firmware Edge ML frameworks (TensorRT, OpenCV, PyTorch Lite) Connectivity protocols (MQTT, HTTP, custom serial protocols) OTA frameworks and secure firmware updates Power profiling and low-power design techniques How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Brand of cucumber, bottle gourds & green chilies. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Good Exposure in Machine Vision, OpenCV, ID systems, Sensors, Safety Products, Industrial Robots, Mobile Robots, CoBots Ability to understand customers requirement and capacity for skillful execution. Good communication skills and product presentation. Strong expertise in edge devices like Jetson and Raspberry Pi, Linux platform, Nodejs, Reactjs, Python.

Greetings ! One our our client TOP MNC Giant looking for GEN AI and Machine Learning Engineer's Important Notes: Please share only those profiles who can join immediately or within 7 days. Base Locations: Gurgaon and Bengaluru (hybrid setup 3 days work from office). Role : Associate and Sr Associate L1/L2 (Multiple Positions) SKILLS :  Bachelor's or master’s degree in Computer Science, Data Science, Engineering, or a related field.  Experience on Agentic AI/ Frameworks  Strong programming skills in languages such as Python, SQL/NoSQL etc.  Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms  Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc.  Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras.  Knowledge of math, probability, and statistics.  Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.  Exposure in developing API using Flask/Django.  Good experience in cloud infrastructure such as AWS, Azure or GCP  Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model) GOOD TO HAVE : Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React Experience in Flask/Django is a bonus RESPONSIBILITIES : Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.  Develop, implement, and deploy AI/ML solutions.  Preprocess and analyze large datasets to identify patterns, trends, and insights.  Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.  Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc.  Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.  Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement. INTERESTED CANDIDATES PERFECT MATCH TO THE JD AND WHO CAN JOIN ASAP ONLY DO APPLY ALONG WITH BELOW MENTIONED DETAILS : Total exp : Relevant exp in AI/ ML : Applying for Gurgaon and Bengaluru : Open for Hybrid : Current CTC : Expected CTC : Can join ASAP : Will call you once we receive your updated profile along with above mentioned details. Thanks, Venkat Solti solti.v@anlage.co.in

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Position Summary As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Job Title: Sr. Consultant- Data Scientist Key Responsibilities Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments Required Skills And Qualifications Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). Generative AI: Experience with generative models such as GANs, VAEs or Transformers. Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. Strong Analytical Skills: Ability to translate complex data into actionable insights. Communication: Excellent written and verbal communication skills Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Ahmedabad, Gujarat (Required) Work Location: In person

Experience: 2+ years in AI/ML, with hands-on development & leadership Key Responsibilities: ● Architect, develop, and deploy AI/ML solutions across various business domains. ● Research and implement cutting-edge deep learning, NLP, and computer vision models. ● Optimize AI models for performance, scalability, and real-time inference. ● Develop and manage data pipelines, model training, and inference workflows. ● Integrate AI solutions into microservices and APIs using scalable architectures. ● Lead AI-driven automation and decision-making systems. ● Ensure model monitoring, explainability, and continuous improvement in production. ● Collaborate with data engineering, software development, and DevOps teams. ● Stay updated with LLMs, transformers, federated learning, and AI ethics. ● Mentor AI engineers and drive AI research & development initiatives. Technical Requirements: ● Programming: Python (NumPy, Pandas, Scikit-learn). ● Deep Learning Frameworks: TensorFlow, PyTorch, JAX. ● NLP & LLMs: Hugging Face Transformers, BERT, GPT models, RAG, fine-tuning LLMs. ● Computer Vision: OpenCV, YOLO, Faster R-CNN, Vision Transformers (ViTs). ● Data Engineering: Spark, Dask, Apache Kafka, SQL/NoSQL databases. ● Cloud & MLOps: AWS/GCP/Azure, Kubernetes, Docker, CI/CD for ML pipelines. ● Optimization & Scaling: Model quantization, pruning, knowledge distillation. ● Big Data & Distributed Computing: Ray, Dask, TensorRT, ONNX. ● Security & Ethics: Responsible AI, Bias detection, Model explainability (SHAP, LIME). Preferred Qualifications: ● Experience with real-time AI applications, reinforcement learning, or edge AI. ● Contributions to AI research (publications, open-source contributions). ● Experience integrating AI with ERP, CRM, or enterprise solutions. Job Types: Full-time, Permanent Pay: ₹100,000.00 - ₹500,000.00 per year Schedule: Day shift Application Question(s): What is your current CTC? Experience: AI: 2 years (Required) Machine learning: 2 years (Required) Work Location: In person

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: · • Design and develop deep learning models for computer vision tasks such as: · • Object detection (e.g., YOLO, Faster R-CNN) · • Image classification (e.g., ResNet, EfficientNet) · • Semantic/instance segmentation (e.g., U-Net, Mask R-CNN) · • Video frame analysis, tracking, or scene understanding · • Use OpenCV for image/video preprocessing and classical vision tasks: · • Filtering, contour detection, edge detection, motion tracking, image transformations · • Prepare and manage large-scale image/video datasets — frame extraction, annotation support, augmentation · • Evaluate models using appropriate metrics (IoU, mAP, F1, precision-recall curves) · • Fine-tune or build from scratch using frameworks like PyTorch or TensorFlow · • Collaborate with cross-functional teams to translate requirements into deployable models · • Write clean, modular, and well-documented Python code for training and experimentation · · Must-Have Skills · • 4–6 years of experience in applied deep learning roles with focus on computer vision · • Proficiency in Python with strong skills in data structures, vectorization, and modular coding · • Hands-on experience with OpenCV for traditional image/video processing tasks · • Strong understanding of CNN architectures and common vision model types · • Deep learning experience with PyTorch or TensorFlow · • Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) · • Familiarity with model training, loss functions, optimization techniques, and performance tuning · · Nice-to-Have Skills · • Experience with video analytics or multi-object tracking · • Familiarity with Albumentations, imgaug, or other augmentation libraries · • Exposure to transformer-based vision models (e.g., ViT, Swin) · • Basic understanding of explainability techniques for vision models (e.g., Grad-CAM) · • Experience working with edge devices, embedded systems, or real-time CV (optional) Mandatory skill sets: Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred skill sets: Data analysis, SQL, MLOPS Years of experience required: 5+ Education qualification: BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

We are seeking a highly skilled and experienced Technical Lead specializing in Computer Vision with Python Programming, with a focus on image and video processing. The ideal candidate will have a strong academic background, significant hands-on experience in computer vision, and a proven track record of leading technical teams. Key Responsibilities: Technical Leadership: Lead a team of computer vision engineers and developers. Provide technical direction and mentorship to team members. Drive the design, development and deployment of computer vision algorithms and applications. Project Management: Oversee project planning, execution, and delivery within stipulated timelines. Collaborate with cross-functional teams to ensure seamless integration of computer vision solutions. Manage stakeholder expectations and communicate project progress effectively. Research and Development: Stay updated with the latest advancements in computer vision, image processing, and video processing technologies. Conduct research to develop innovative solutions and improve existing methodologies. Publish findings in reputed journals and conferences. Software Development: Develop, optimize, and maintain Python-based computer vision codebases. Implement state-of-the-art machine learning algorithms for image and video analysis. Ensure code quality through rigorous testing and documentation. Image and Video Processing: Design and implement algorithms for image enhancement, restoration, and transformation. Develop solutions for video analysis, including object tracking, motion detection, and video summarization. Optimize processing pipelines for real-time performance. System Architecture: Design scalable and efficient architectures for computer vision systems. Integrate computer vision modules with other system components and services. Client Interaction: Understand client requirements and translate them into technical specifications. Present technical solutions and demonstrate product capabilities to clients. Provide post-deployment support and address client queries and issues. Required Skills and Qualifications: Education: B.Tech/ M-Tech in Computer Science. Experience: 8-15 years of total experience with at least 6 years in computer vision and Python programming. Technical Skills: Proficiency in Python and its libraries (e.g., OpenCV, TensorFlow, PyTorch). Strong understanding of computer vision concepts (e.g., object detection, image segmentation, feature extraction). Extensive experience in image processing (e.g., filtering, edge detection, image transformation). Significant experience in video processing (e.g., object tracking, motion analysis, video encoding/decoding). Familiarity with machine learning and deep learning frameworks. Experience with software development practices (e.g., version control, unit testing, continuous integration). Leadership Skills: Proven ability to lead and mentor technical teams. Excellent project management and organizational skills. Communication Skills: Strong verbal and written communication skills. Ability to present complex technical information to non-technical stakeholders.

Job Title: AI/ML Engineer (Python + AWS + REST APIs) Department: Web Location: Indore Job Type: Full-time Experience: 3-5 years Notice Period: 0-15 days (immediate joiners preferred) Work Arrangement: On-site (Work from Office) Overview: Advantal Technologies is seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs. Key Responsibilities: AI/ML Development Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees. Build synthetic datasets using DCGANs for balancing. Fine-tune pre-trained models for customized encryption logic. Implement explainable classification logic for model outputs. Validate model performance using custom metrics and datasets. API Development Design and develop Python RESTful APIs using FastAPI or Flask for: Image upload and classification Model inference endpoints Encryption trigger calls Integrate APIs with AWS Lambda and Amazon API Gateway. AWS Integration Deploy and manage AI models on Amazon SageMaker for training and real-time inference. Use AWS Lambda for serverless backend compute. Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL). Use AWS Cognito for secure user authentication and KMS for key management. Monitor job status via CloudWatch and enable secure, scalable API access. Required Skills & Experience: Must-Have 3–5 years of experience in AI/ML (especially vision-based systems). Strong experience with PyTorch or TensorFlow for model development. Proficient in Python with experience building RESTful APIs. Hands-on experience with Amazon SageMaker, Lambda, API Gateway, and S3. Knowledge of OpenSSL/PyCryptodome or basic cryptographic concepts. Understanding of model deployment, serialization, and performance tuning. Nice-to-Have Experience with CLIP model fine-tuning. Familiarity with Docker, GitHub Actions, or CI/CD pipelines. Experience in data classification under compliance regimes (e.g., GDPR, HIPAA). Familiarity with multi-tenant SaaS design patterns. Tools & Technologies: Python, PyTorch, TensorFlow FastAPI, Flask AWS: SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS Git, Docker, Postgres, OpenCV, OpenSSL If interested, please share resume to kratika.vijaywargiya@advantal.net

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: · • Design and develop deep learning models for computer vision tasks such as: · • Object detection (e.g., YOLO, Faster R-CNN) · • Image classification (e.g., ResNet, EfficientNet) · • Semantic/instance segmentation (e.g., U-Net, Mask R-CNN) · • Video frame analysis, tracking, or scene understanding · • Use OpenCV for image/video preprocessing and classical vision tasks: · • Filtering, contour detection, edge detection, motion tracking, image transformations · • Prepare and manage large-scale image/video datasets — frame extraction, annotation support, augmentation · • Evaluate models using appropriate metrics (IoU, mAP, F1, precision-recall curves) · • Fine-tune or build from scratch using frameworks like PyTorch or TensorFlow · • Collaborate with cross-functional teams to translate requirements into deployable models · • Write clean, modular, and well-documented Python code for training and experimentation · · Must-Have Skills · • 4–6 years of experience in applied deep learning roles with focus on computer vision · • Proficiency in Python with strong skills in data structures, vectorization, and modular coding · • Hands-on experience with OpenCV for traditional image/video processing tasks · • Strong understanding of CNN architectures and common vision model types · • Deep learning experience with PyTorch or TensorFlow · • Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) · • Familiarity with model training, loss functions, optimization techniques, and performance tuning · · Nice-to-Have Skills · • Experience with video analytics or multi-object tracking · • Familiarity with Albumentations, imgaug, or other augmentation libraries · • Exposure to transformer-based vision models (e.g., ViT, Swin) · • Basic understanding of explainability techniques for vision models (e.g., Grad-CAM) · • Experience working with edge devices, embedded systems, or real-time CV (optional) Mandatory skill sets: · Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred skill sets: · Data analysis, SQL, MLOPS Years of experience required: 5+ Education qualification: BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Job Title - Laravel Angular Developer Job Position-SE Experience in Laravel : 4-5 yrs Backend Development: Proficiency in PHP 7+ or 8+, with a strong command of modern PHP features and practices. Good knowledge and hands on experience in Slim Framework Exceptionally good in JavaScript Exceptionally good communication skills Good to have Angular, Python Server Knowledge, PowerBI Experience with Laravel framework - In-depth knowledge of Laravel’s ecosystem, including MVC architecture, Eloquent ORM, blade templates, routing, and artisan commands Good to have Slim knowledge - Familiarity with Slim for lightweight applications, emphasizing middleware and dependency injection principles. It is good to have AngularJS expertise in building dynamic single-page applications, an understanding of MVC patterns in the AngularJS framework, and experience with directives, services, and two-way data binding. Experience with modern HTML/CSS practices. Database Management - Proficient in MariaDB or MySQL, with skills in designing databases, writing complex SQL queries, and performance tuning. Additional Skills: Power BI: Ability to work with Power BI real-time APIs for data visualization and business intelligence role-based reporting. Stripe: Experience with Stripe API integration for payment processing, Subscription management, handling webhooks, and ensuring secure transactions. Image Processing: Basic understanding of image processing models and libraries (e.g., OpenCV) or experience interfacing with cloud-based services. GPT APIs: Familiarity with incorporating GPT APIs for natural language processing tasks, including API management and cost considerations. General Skills: Familiar with version control systems like Git. Understanding of RESTful services and APIs. Ability to work in an agile development environment. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Why Join Cubet? Innovative Environment: Be part of a forward-thinking company that values innovation and creativity. Career Growth: Opportunities for professional development and career advancement. Collaborative Culture: Work in a supportive, team-oriented environment where your contributions are valued. Competitive Compensation: Attractive salary package and performance-based incentives.

As a Full Stack Software Developer Intern at Volcan Vision and Automation Pvt Ltd, you will have the exciting opportunity to contribute to the development of robust, high-performance desktop applications for cutting-edge machine vision systems. Your role will involve working with real-world hardware, deep learning models, and advanced networking protocols in a dynamic and fast-paced environment. Your responsibilities will include developing high-performance desktop applications that interface with machine vision cameras and PLCs. You will design and implement GUI interfaces using PyQt or similar frameworks, integrate image acquisition and processing modules using OpenCV, establish Ethernet-based communication with PLCs for real-time control and feedback, implement multithreading using QThreads for responsive user interfaces, and optimize and debug applications for industrial deployment. To excel in this role, you should possess a strong proficiency in Python, experience with PyQt/PySide and Qt Designer, knowledge of multithreading using QThreads, hands-on experience with OpenCV and computer vision concepts, understanding of Ethernet communication protocols, and familiarity with version control systems such as Git. The ideal candidate for this position is a 3rd or Final Year Student from B.Tech/B.E./MCA or equivalent programs with a strong interest in software development and computer vision. In return, you will receive a Certificate of Completion upon successful internship, performance-based financial incentives, the opportunity to work on real-world machine vision and automation projects, collaboration and mentorship with experienced professionals, and the possibility of a full-time offer based on your performance. This internship opportunity is for a duration of 3 to 6 months, with the possibility of extension or conversion to full-time based on your performance. The position is available for on-site, remote, or hybrid work arrangements as per mutual agreement.,