1140 Computer Vision Jobs - Page 22

Educational Qualification: Education: Masters or PhD in Computer Science, Machine Learning, AI, Engineering, or a related technical field. Work Experience : Experience: 4-6 years of experience in machine learning based data product research and development in addition to relevant educational background in the field of Computer Science, Engineering, Machine Learning etc. Role Description : We are seeking an AI Scientist to join our analytics team. This role focuses on the development of innovative machine learning and deep learning models that unlock the full potential of Pixxels hyperspectral data. You will work on impactful, data-driven projects aimed at solving complex challenges using state-of-the-art technology and methodologies. As a key contributor to Pixxels analytics vision, you will: Leverage state-of-the-art AI techniques to address complex challenges in imaging analytics, data fusion, and large-scale data processing. Develop multimodal AI models that integrate hyperspectral data with other sensor modalities like radar, LiDAR, and weather datasets, enabling actionable insights for clients across diverse industries. Work closely with cross-functional teams, translating business and scientific objectives into AI-powered solutions that are scalable, efficient, and impactful. Responsibilities & Duties : AI Model Development: Design and implement advanced AI/ML models for classification, prediction, segmentation, and anomaly detection using Pixxels hyperspectral data and multimodal datasets. Multimodal Data Fusion: Integrate diverse data sources, such as hyperspectral, radar, LiDAR, and ancillary datasets, to enhance feature extraction, accuracy, and scalability. Algorithm Optimization: Develop computationally efficient algorithms that can handle large-scale, high-dimensional datasets and deploy them in production environments. R&D Leadership: Research and implement state-of-the-art techniques, including Transformer models, GANs, self-supervised learning, and other emerging techniques, to stay ahead in AI innovation. Cross-Functional Collaboration: Work with domain experts (e.g., hyperspectral scientists, environmental specialists) to understand the data and define project objectives, translating business problems into robust AI models. Communication & Presentation: Clearly explain complex AI concepts, model outputs, and research findings to technical and non-technical stakeholders. Skills and Experience Required: Technical Expertise: Proficiency in advanced machine learning and deep learning architectures (e.g., CNNs, RNNs, Transformers, GANs, LSTMs). Strong background in Python and frameworks such as PyTorch, TensorFlow, or PyTorch Lightning. Experience in developing AI models for complex datasets. Experience with imaging data (e.g., hyperspectral, medical, drone, or satellite imagery), is not required, but would be beneficial. Solid understanding of key principles in multimodal data fusion, computer vision, and large-scale data processing. Communication & Collaboration: Strong communication skills to present findings, teach concepts, and collaborate effectively with non-AI experts. Ability to work cross-functionally with data scientists, engineers, and domain specialists . R&D Mindset: Proven experience in implementing cutting-edge research techniques and staying up-to-date with advancements in AI. Candidate Acumen : As an AI Scientist, I bring expertise in developing advanced machine learning and deep learning models to extract insights from hyperspectral data, leveraging state-of-the-art methodologies to tackle complex, data-driven challenges. Benefits: Comprehensive insurance coverage for you and your family. Free access to mental health professionals and paid sick leave. Benefits like vaccination drives and more. Flexible working hours. Opportunity to work with top scientists and professionals in space technology.

Overview The Executive Vice President of the Data Intelligence Group will lead, mentor, and develop a team of Associates and Analysts. This role involves overseeing and driving initiatives related to data migration, data management, architecture, and advanced analytics for our clients. We seek a strategic leader with a proven track record in managing large-scale data projects, advanced analytics, and expertise in Big Data technologies. The ideal candidate will have deep knowledge in Machine Learning (ML), Artificial Intelligence (AI), and a foundational understanding of Generative AI. This position offers a dynamic path for learning and growth, with high exposure to stakeholder management and client engagement. Key Responsibilities: Lead and manage large-scale data migration projects, ensuring successful execution and stakeholder satisfaction Develop and implement data management strategies and architectural frameworks that support business objectives Oversee advanced analytics initiatives, leveraging data to inform strategic decision-making Consult and interact regularly with clients, acting as a thought partner to understand their needs and drive value Collaborate with cross-functional teams to deploy ML models and AI solutions that drive innovation and efficiency Manage teams working across multiple projects for different clients, ensuring high performance and effective collaboration Foster a culture of continuous improvement, encouraging the team to adopt best practices in data engineering and analytics Mentor and develop team members, nurturing talent in areas such as NLP, predictive analytics, and LLMs Stay abreast of industry trends and technologies, ensuring the organization remains competitive in data analytics and management Familiarity with a variety of data-related fields, including but not limited to: Data Engineering and Management Artificial Intelligence (ML, Deep Learning, Generative AI) Cloud Architecture and Analytics (Azure, AWS, GCP) DevOps and Platform Engineering Software Development and Application Architecture Business Intelligence Solutions (Power BI, Tableau) Qualifications 10+ years of experience in data management, solution architecture, analytics, and project oversight Proven experience in managing large-scale data migration and complex analytics projects Strong experience in cloud architecture and solution design Strong background in Machine Learning, AI, and Generative AI Experience in the BFSI sector is preferred Education Bachelors degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MBA or MS preferred Compensation The compensation structure will be as per industry standard

Job Description AI/ML Engineer We are seeking a sharp, innovative, and passionate AI/ML Engineer to join our R&D team. You will be responsible for designing and deploying intelligent algorithms that enhance the predictive capabilities of our remote diagnostics platform used in railway signaling and other critical infrastructure. Responsibilities: Build and deploy machine learning and deep learning models for predictive maintenance and anomaly detection. Analyze time-series sensor data to develop accurate failure prediction models. Work with massive datasets – cleaning, preprocessing, feature engineering, and model tuning. Develop and expose ML models as REST APIs for integration into cloud-based systems. Collaborate with domain experts, data engineers, and full stack developers to create robust, production-grade solutions. Perform continuous evaluation and improvement of deployed models (MLOps). Stay updated with the latest AI research and evaluate them for real-world application. Required Skills & Qualifications: 2–5 years of experience in AI/ML project development and deployment. Proficiency in Python , Scikit-learn , Pandas , NumPy . Hands-on experience with TensorFlow or PyTorch . Solid understanding of ML algorithms , classification , regression , clustering , NLP , or computer vision . Experience with model deployment , APIs , and Docker . Knowledge of cloud platforms (AWS/GCP/Azure) is a plus. Strong problem-solving skills and understanding of statistical concepts. Nice to Have: Experience with time-series forecasting and anomaly detection. Prior exposure to predictive maintenance in industrial environments. Familiarity with IoT data and sensor networks.

Role & responsibilities Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Preferred candidate profile Bachelor's or advanced degree in Computer Science, Data Science, or a related field. Over 8 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Perks and benefits Best in the Industry Regards Supriya yadav 8377028382 supriya @mounttalent.com

Job Title: Machine Learning Engineer Job Description: The ideal candidate will have a strong background in applying machine learning to Digital Signal Processing, particularly in audio signal analysis and accelerometer data analysis. This role involves developing innovative ML models, including CNNs, RNNs, and GANs, and leveraging techniques such as LLMs and low-rank adaptation to enhance our product offerings. The successful candidate will also be proficient in MLOps practices and deploying ML models into production environments. Key Responsibilities: Custom ML Model Development: Design and build custom machine learning models from scratch, tailored to specific applications in digital and audio signal processing and accelerometer data analysis. The ideal candidate will have published papers or demonstrable customized models custom-built for specific problem domains. Advanced ML Techniques: Apply advanced machine learning techniques, including time series analysis, CNNs, RNNs, GANs, LLMs, and low-rank adaptation, to solve complex problems in pet wellness technology. Data Analysis and Processing: Perform sophisticated data analysis and preprocessing to prepare datasets for machine learning applications. MLOps and Model Deployment: Implement MLOps practices to streamline the deployment of machine learning models into production, ensuring scalability, performance, and reliability. Performance Optimization: Continuously monitor and optimize ML models to improve accuracy and efficiency. Cross-functional Collaboration: Work closely with product development, engineering, and data science teams to integrate ML models into Hoomanely Inc.'s product ecosystem. Research and Innovation: Stay abreast of the latest developments in machine learning and signal processing to drive innovation within the company. Qualifications: Bachelors/Masters in Engineering in Computer Science, Data Science, Electrical Engineering, or a related field focusing on machine learning. Preferably from a top tier (Tier 1 in India/US - IIT, NIT equivalent) institute. Proven experience building custom ML models for digital signal processing, audio signal analysis, and accelerometer data analysis, with a minimum of 6 years of relevant experience. Strong knowledge of time series-based machine learning, CNNs, RNNs, GANs, LLMs, and low-rank adaptation techniques. Experience with MLOps practices and deploying machine learning models in production environments. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python). Excellent analytical, problem-solving, and communication skills. Preferred Skills: Experience in pet wellness or related industries. Familiarity with IoT device data processing and analysis. Knowledge of cloud computing platforms and services for ML deployment. Application Process: Interested candidates should submit a resume, cover letter highlighting their machine learning expertise and specific projects related to signal processing and model deployment, and links to relevant work or publications. The selection process will include technical interviews, a practical machine learning assessment, and discussions on past projects and contributions.

Job description Position: Computer Vision Engineer Experience Level : 5-12 yrs Location : Madurai/Coimbatore Type : Full-time Vacancy :03 Note: Immediate Joiners preferred Job Overview : We are looking for an experienced Computer Vision Engineer with expertise in image processing, machine learning, and deep learning. The ideal candidate should have hands-on experience developing and deploying computer vision algorithms and deep learning models using Python, OpenCV, and YOLO, along with proficiency in CUDA and NumPy. This role involves research, model optimization, and real-world deployment of cutting-edge computer vision solutions. Key Responsibilities : Develop and deploy computer vision algorithms and deep learning models for diverse applications. Design and implement computer vision models using state-of-the-art techniques and frameworks. Explore and analyze unstructured data like images through image processing techniques Analyze, evaluate, and optimize existing computer vision systems for improved performance and accuracy. Test and validate computer vision code and models, ensuring robustness and reliability Research and implement new computer vision technologies to stay at the forefront of the field. Collaborate with cross-functional teams to develop innovative solutions meeting project requirements Monitor the performance and accuracy of deployed computer vision models, making necessary adjustments. Maintain and update computer vision systems to ensure their continued functionality and relevance. Provide technical support and guidance to team members and customers using computer vision systems. Requirements : Bachelor's degree in Computer Science or a related field and above. Proven experience in developing and deploying computer vision systems. Strong knowledge of computer vision algorithms, libraries, and tools such as: OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, Matplotlib, Seaborn, YOLO, etc. Familiarity with GPU acceleration and optimization tools like CUDA, OpenCL, OpenGL. Expertise in computer vision applications, including : Object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking, and model compression/optimization. Experience with runtime AI frameworks such as ONNX, TensorRT, OpenVINO. Hands-on experience with cloud platforms (AWS, Azure), Docker, Kubernetes, and GitHub Experience in training models using GPU computing or cloud-based environments. Familiarity with machine learning and deep learning concepts and frameworks. Strong problem-solving and analytical skills. Ability to work independently in a fast-paced environment and collaborate effectively in a team. Preferred Qualifications : Experience in real-time video processing and streaming analytics. Knowledge of Edge AI and deployment on embedded systems. Exposure to 3D vision, SLAM, and depth estimation. Contributions to open-source computer vision projects. Interested candidates may email their resumes to mail to: info@sumanastech.com Or contact via Call or WhatsApp at 9952870443 8870444768 You can take a look at our Company Profile here: https://www.sumanastech.com/

This website uses cookies to ensure you get the best experience. Adagrad AI and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics and marketing purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , which is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. These cookies are used to make advertising messages more relevant to you. In some cases, they also deliver additional functions on the site. Decline all non-necessary cookies Field Engineer CCTV Installation As a Field Engineer at Adagrad AI, you will have the opportunity to work on exciting and challenging projects that will provide you with valuable experience and career growth opportunities. The opportunity We are looking for Field Engineer, to join our Pune office, who are curious, self-motivated, and willing to learn. You will be exposed to a range of tasks and projects, including: Reporting directly to the deployment manager and handling all the hardware and deployment related tasks in the company On-site Support: Provide on-site support to customers or clients. This may involve diagnosing and troubleshooting issues with equipment or systems, providing technical guidance, and answering customer questions. Installation and Commissioning: Carrying out complete installation of hardware on deployment locations. Hardware will include cameras, controller unit and cabling and routing. This involves understanding installation procedures, configuring equipment, and ensuring that everything is working as expected. Once installation is complete, commission the equipment or system to ensure that it meets performance specifications. Maintenance and Repairs: Responsible for providing routine maintenance and repairs for equipment and systems. This includes identifying issues before they become critical, performing regular maintenance tasks, and making repairs as needed. Documentation and Reporting: Maintain accurate documentation of all activities performed on-site. This may include maintenance reports, installation reports, and other documentation as required. Customer Service: Must have excellent customer service skills. Often being the primary point of contact for customers, you must be able to communicate effectively, provide guidance, and manage customer expectations. Safety: You must be aware of and comply with all safety protocols and procedures. This includes wearing protective equipment, following safety guidelines, and identifying potential hazards. Must also be able to travel frequently, work in different locations and environments, and adapt to changing situations. You should have a strong technical background, excellent problem-solving skills, and the ability to work independently. Procuring hardware and ensuring that it has been assembled and configured as per predefined standards. Conducting research on new hardware and testing it. Conducting training for security guards and managers. Should operate in flexible work timings as per requirements. Skills and attributes for success A bachelors degree in engineering Minimum period of prior work experience of 6 months in Hardware / Networking Knowledge of Crimping, Routing and cabling Basic knowledge of networking and router configuration Knowledge of IP cameras and their configuration and testing Excellent problem-solving skills backed by solid technical knowledge. A versatile and service-oriented mindset. Good understanding of safety guidelines. Great communication skills. Technically savvy and computer literate. Strong multitasking abilities. Analytical and critical thinking skills. Ability to work under pressure and complete tasks in a timely manner. Valid driving license and possess personal bike & helmet Ability to work independently and as part of a team. Role About Adagrad AI At Adagrad, were leveraging hardware-accelerated algorithms, enhanced Computer Vision & Deep Learning applications to develop and deploy Scalable Solutions . Be it a hypermarket or an industrial setting, we enable enterprises and establishments to harness the optimum potential of academic advancements in AI - applied to real-world situations. Already working at Adagrad AI? Let s recruit together and find your next colleague.

Job Description Summary The Sr Data Scientist will contribute to ideating and developing near-term and long-term projects with significant business impact. In this role, the person will support the technology roadmap of the organization in the areas of computer vision, image analytics, and deep learning, and will be involved in creating impactful projects in these domains. Additionally, the individual will participate in reviews and provide technical support for global teams, helping to integrate advanced techniques into GE Aerospace's solutions. Job Description Company Overview Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight! Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. Partner with GE Software Engagement Managers to shape Statements of Work for Data Science opportunities and GE Software Solutions Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value Serve as a recognized technical leader in data science - anticipate, develop and apply technology to current and future business opportunities. Proficient in statistics, machine learning and deep learning technologies Identify opportunities to use data science to create customer value, execute on the same. Develop, verify and validate analytics to address customer needs and opportunities, communicate methods, findings and hypothesis with stakeholders. Influence the decisions the leadership takes with relevant inputs and suggestions. Being aware of the latest technology trends in the industry and introducing the relevant ones within the organization Identifies IP Opportunities and Supports technical roadmap development within domain , site , Organization. Lead initiatives to continuously improve data science methodologies and processes, leveraging lean principles to enhance efficiency and effectiveness in project delivery. Develop, verify, and validate analytics to address customer needs and opportunities. Work as part of a cross-functional team to translate algorithms into commercially viable products and services. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Ensure that projects comply with relevant aerospace industry regulations and standards, maintaining the highest levels of safety and quality. The Ideal Candidate Ideal candidate should have experience in Image Analytics, Computer Vision, Python and cloud platforms Required Qualifications: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with 5+ experience in data science Demonstrated skill in the use of Python and or other analytic software tools or languages Demonstrated skill in guiding teams to solve business problems Strong communication, interpersonal and leadership skills Preferred Qualifications : Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker Whether we are manufacturing components for our engines, driving innovation in fuel and noise reduction, or unlocking new opportunities to grow and deliver more productivity, our GE Aerospace teams are dedicated and making a global impact. Join us and help move the aerospace industry forward. #LI-VR1 Additional Information Relocation Assistance Provided: No

Job Description Summary The Senior NLP Data Scientist will work in teams addressing natural language processing, large language models (LLMs), and agentic AI problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of advanced NLP techniques, large language models, agentic AI systems, and semantic analysis methods for extracting and understanding structure in large text data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview: Develop and implement state-of-the-art NLP models and algorithms, with a focus on large language models (LLMs) and agentic AI. Collaborate with cross-functional teams to identify and solve complex NLP problems in various domains. Design and conduct experiments to evaluate the performance of NLP models and improve their accuracy and efficiency. Deploy NLP models into production environments, ensuring scalability and robustness. Analyze large text data sets to uncover insights and patterns using advanced statistical and machine learning techniques. Stay up-to-date with the latest research and advancements in NLP, LLMs, and agentic AI, and apply this knowledge to ongoing projects. Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. Mentor and guide junior data scientists and engineers in best practices for NLP and machine learning. Develop and maintain documentation for NLP models, algorithms, and processes. Collaborate with product managers and engineers to integrate NLP solutions into products and services. Conduct code reviews and ensure adherence to coding standards and best practices. Participate in the development of data collection and annotation strategies to improve model performance. Contribute to the development of intellectual property, including patents and publications, in the field of NLP and AI The Ideal Candidate Ideal candidate should have experience in Image Analytics, Computer Vision, Python and cloud platforms Required Qualifications: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with 5+ experience in data science Demonstrated skill in the use of Python and or other analytic software tools or languages Demonstrated skill in guiding teams to solve business problems Strong communication, interpersonal and leadership skills Preferred Qualification Proven experience in developing and deploying NLP models, particularly large language models (LLMs) and agentic AI systems. Strong programming skills in Python and familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, Langchain, Langgraph and spaCy. Experience with cloud platforms and tools for deploying machine learning models (e.g., AWS, GCP, Azure). Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience with transfer learning, fine-tuning, and prompt engineering for LLMs. Knowledge of agentic AI principles and their application in real-world scenarios. Familiarity with big data technologies and tools such as Hadoop, Spark, and SQL. Publications or contributions to the NLP and AI research community. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. Additional Information Relocation Assistance Provided: Yes

Analyze and transform data science prototypes Develop ML applications as per requirements Run machine learning tests and experiments Perform analysis and fine-tuning of models using test results Train and retrain ML models when necessary Primary Skills Experience working on Cloud platforms, preferably AWS Proven experience as Machine Learning Engineer Experience in AWS Sagemaker Understanding of data structures, data modeling and software architecture Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Primary Skills 7+ years of experience in software development, with at least 4+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. Secondary Skills Kore.ai platform certification is a strong advantage. Knowledge of automation tools and RPA technologies is beneficial.

Location : JP Nagar, Bangalore Mode of work: Work from Office Experience: 6 months 1.5 years Notice period : Immediate Joiners Only Mode of Interview : Face to Face Were looking for enthusiastic AI/ML talent to work on exciting projects in Generative AI, NLP, LLMs, and Deep Learning. Strong programming skills in Python and SQL Hands-on experience with ML/DL libraries NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch Good understanding of data preprocessing, feature engineering, model training & evaluation Experience working with Django or Flask Experience with Generative AI Familiarity with Deep Learning, NLP, LLMs, Exposure to data visualization tools Matplotlib, Seaborn, Tableau, Power BI Strong problem-solving skills and attention to detail Excellent communication skills Ability to thrive both independently and in a collaborative team setting

Lead AI/ML at Rely Healthtech Company Overview Rely Health Tech is a pioneering healthcare technology company dedicated to transforming healthcare management through innovative, customized Hospital Information System (HIS) solutions. Our advanced modules, including HR, Supply Chain Management (SCM), Patient Management, CRM, RCM, and AI-driven agents, empower healthcare providers with streamlined operations and enhanced clinical decision support. By integrating cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) technologies, we deliver scalable, secure, and robust solutions that improve patient care and operational efficiency. As we expand geographically and diversify our product offerings, we are seeking a visionary leader to drive our AI/ML initiatives. Role Overview We are looking for an experienced Head of AI/ML to join our team in Gurugram for a full-time, on-site role. This leadership position will spearhead the development and execution of our AI/ML strategy, driving innovation in healthcare technology. The successful candidate will oversee software development, manage IT projects, define IT strategies and architectures, and lead product development initiatives to deliver transformative solutions. Key Responsibilities Develop and implement a comprehensive AI/ML strategy aligned with Rely Healthtechs vision and goals. Lead end-to-end AI/ML projects, from ideation to deployment, ensuring high-quality deliverables. Oversee software development teams, fostering a culture of innovation and collaboration. Define and implement IT strategies and architectures to support scalable, secure, and efficient systems. Drive product development initiatives, integrating AI/ML to enhance clinical and operational outcomes. Collaborate with cross-functional teams, including product, engineering, and clinical stakeholders, to deliver impactful solutions. Stay abreast of industry trends and emerging technologies to maintain a competitive edge. Qualifications Experience : Minimum of 10 years in software development, with 3-5 years specifically in AI/ML technologies. Technical Expertise : Strong proficiency in AI/ML frameworks, algorithms, and tools. Leadership : Proven track record in leading high-performing teams and managing complex IT projects. Strategic Vision : Expertise in defining IT strategies and architectures for scalable systems. Product Development : Hands-on experience in driving end-to-end product development cycles. Communication : Exceptional leadership and communication skills to engage with diverse stakeholders. Collaboration : Ability to work effectively with cross-functional teams in a fast-paced environment. Industry Knowledge : Exposure to the healthcare IT sector is a strong advantage. Education : Masters degree in Computer Science, Data Science, or a related field. Why Join Rely Health Tech? Be part of a rapidly growing healthcare technology company with global ambitions. Lead transformative AI/ML initiatives directly impacting patient care and operational excellence. Work in a collaborative, innovative environment with opportunities for professional growth. Contribute to cutting-edge solutions that redefine healthcare management. Location Gurugram, India (On-site) How to Apply Ready to shape the future of healthcare with AI/ML? Visit our website at www.relyhealthtech.com to learn more about our mission and solutions. To apply, please share your resume and a cover letter via LinkedIn or email us at hr@relyhealthtech.com. Join Rely Health tech and lead the charge of revolutionizing healthcare technology! Rely Health Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About Oceaneering: Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries. Role Summary: The Principal Data Scientist will develop Machine Learning and/or Deep Learning based integrated solutions that address customer needs such as inspection topside and subsea. They will also be responsible for development of machine learning algorithms for automation and development of data analytics programs for Oceaneerings next generation systems. The position requires the Principal Data Scientist to work with various Oceaneering Business units across global time zones but also offers the flexibility to work in a Hybrid Work-office environment. Responsibilities: Lead and supervise a team of moderately experienced engineers on product/prototype design & development assignments or applications. Work both independently and collaboratively to develop custom data models and algorithms to apply on data sets that will be deployed in existing and new products. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Build data models and organize structured and unstructured data to interpret solutions. Prepares data for predictive and prescriptive modeling. Architect solutions by selection of appropriate technology and components Determines the technical direction and strategy for solving complex, significant, or major issues. Plans and evaluates architectural design and identifies technical risks and associated ways to mitigate those risks. Prepares design proposals to reflect cost, schedule, and technical approaches. Recommends test control, strategies, apparatus, and equipment. Develop, construct, test, and maintain architectures. Lead research activities for ongoing government and commercial projects and products. Collaborate on proposals, grants, and publications in algorithm development. Collect data as warranted to support the algorithm development efforts. Work directly with software engineers to implement algorithms into commercial software products. Work with third parties to utilize off the shelf industrial solutions. Algorithm development on key research areas based on clients technical problem. This requires constant paper reading, and staying ahead of the game by knowing what is and will be state of the art in this field. Ability to work hands-on in cross-functional teams with a strong sense of self-direction. REQUIRED Bachelors degree in Electronics and Electrical Engineering (or related field) with ten or more years of past experience working on Machine Learning and Deep Learning based projects OR Masters degree in Data Science (or related field) with eight or more years of past experience working on Machine Learning and Deep Learning based projects DESIRED Strong knowledge of advanced statistical functions: histograms and distributions, Regression studies, scenario analysis etc. Proficient in Object Oriented Analysis, Design and Programming Strong background in Data Engineering tools like Python/C#, R, Apache Spark, Scala etc. DESIRED Experience/Knowledge: Strong knowledge of advanced statistical functions: histograms and distributions, Regression studies, scenario analysis etc. Proficient in Object Oriented Analysis, Design and Programming Strong background in Data Engineering tools like Python/C#, R, Apache Spark, Scala etc. Prior experience in handling large amount of data that includes texts, shapes, sounds, images and/or videos. Knowledge of SaaS Platforms like Microsoft Fabric, Databricks, Snowflake, h2o etc. Background experience of working on cloud platforms like Azure (ML) or AWS (SageMaker), or GCP (Vertex), etc. Proficient in querying SQL and NoSQL databases Hands on experience with various databases like MySQL/PostgreSQL/Oracle, MongoDB, InfluxDB, TimescaleDB, neo4j, Arango, Redis, Cassandra, etc. Prior experience with at least one probabilistic/statistical ambiguity resolution algorithm Proficient in Windows and Linux Operating Systems Basic understanding of ML frameworks like PyTorch and TensorFlow Basic understanding of IoT protocols like Kafka, MQTT or RabbitMQ Prior experience with bigdata platforms like Hadoop, Apache Spark, or Hive is a plus.

WHS (Workplace Health & Safety) is seeking a Senior Product Manager Technical (Sr. PMT) to lead an important set of products for our global safety operations. As a Sr. PMT for Amazons WHS Data-Tech organization, you will play a vital role in inventing, simplifying, and scaling Amazons technology products that have a tangible impact on the safety of our global workforce. We seek a product leader who can manage large, cross-functional technology programs and projects. In this role, you will be responsible for driving multiple technical product initiatives that deliver critical health and safety capabilities requiring coordination with technology and operations teams worldwide. You will collaborate with a group of technical product managers, developers, data engineers, and data scientists to provide products and services that deliver insights and improve the safety processes of WHS worldwide. The right candidate will possess a strong product and technology background. You must be able to thrive and succeed in a challenging entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives but can also roll up your sleeves, dig in and get the job done. As a Sr. PMT, you will anticipate bottlenecks, provide escalation management, make trade-offs, and balance business needs versus technical constraints. An ability to take large, complex products and break them down into manageable pieces, develop functional specifications, then deliver them in a successful and timely manner is expected. Product Management: Leverage your strong foundation in product management concepts and methodologies to deliver on product strategy, roadmaps, and prioritization of features for safety products and solutions. Unified User Experience: Identify user needs through user research, onsite visits, and Voice of Associate (VoA) mechanisms. Work closely with program and engineering teams to build unified user interfaces to streamline user experience. Communication and Collaboration: Communicate product visions, goals, and requirements to diverse stakeholders, including Program, Operations, Technology, and Finance teams. Facilitate collaboration among cross-functional teams to ensure smooth product development. About the team WHS Data-Techs charter is to deliver technology solutions and data insights that help reduce workplace risks and injuries at Amazon. Our customers are Worldwide (WW) Operations and the WHS organization. The technology solutions landscape for WHS Data-Tech includes web applications built using native Amazon Web Services (AWS) technologies and device-software hybrid solutions that leverage generative artificial intelligence (AI), computer vision, sensors and Internet of Things (IoT) technologies. Additionally, the team conducts scientific research and modeling to generate safety insights and provides analytical solutions, ranging from senior leadership deliverables to individual business unit specific reports. Experience owning/driving roadmap strategy and definition Experience with feature delivery and tradeoffs of a product Experience contributing to engineering discussions around technology decisions and strategy related to a product Experience managing technical products or online services Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning 5+ years of end to end product delivery experience Bachelors degree in Engineering, Science, Analytics, or Business Administration Experience in using analytical tools, such as Tableau, Qlikview, QuickSight Experience in building and driving adoption of new tools Masters degree in Engineering, Science, Analytics, or Business Administration

Job Summary: We are looking for a skilled and passionate AI Developer with 3+ years of hands-on experience in building and deploying AI/ML solutions. The ideal candidate will have a strong foundation in data science, machine learning algorithms, and deep learning frameworks, and will be responsible for developing scalable AI applications tailored to our business needs. Responsibilities: Design, develop, and deploy machine learning models and AI-driven applications. Collaborate with data engineers and software developers to integrate AI models into production systems. Conduct data preprocessing, feature engineering, and model tuning. Research and implement state-of-the-art ML/DL algorithms for predictive analytics, NLP, computer vision, etc. Monitor and evaluate model performance and retrain when necessary. Stay updated with the latest AI trends, technologies, and best practices. Required Skills and Qualifications : Bachelor s/Master s degree in Computer Science, Data Science, AI, or related field. 3+ years of professional experience in AI/ML development. Proficient in Python and common ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with NLP, computer vision, recommendation systems, or other AI domains. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Excellent problem-solving skills and ability to work in a collaborative team environment. Preferred Qualifications : Experience deploying AI models using REST APIs, Docker, or Kubernetes. Exposure to MLOps tools and frameworks. Contribution to open-source AI/ML projects or publications in the field.

As an AI Developer, you will be part of a dynamic team working on innovative projects involving machine learning, deep learning, natural language processing, and computer vision. You ll collaborate with senior engineers and data scientists to build intelligent systems and contribute to the development of AI-based solutions. Responsibilities: Assist in developing and implementing AI/ML models and algorithms. Work with large datasets to preprocess, clean, and prepare for training models. Support in integrating AI capabilities into products and services. Participate in code reviews, testing, and debugging. Stay up-to-date with emerging trends in AI, ML, and data science. Document processes, models, and results clearly and efficiently. Requirements: Bachelor s degree in Computer Science, Data Science, AI, or a related field. Strong understanding of Python and libraries such as NumPy, pandas, scikit-learn, etc. Basic knowledge of machine learning algorithms and concepts. Familiarity with AI frameworks like TensorFlow or PyTorch (preferred). Good problem-solving skills and a willingness to learn.

The Video Perception (ViPER) team is responsible for developing cutting-edge solutions for Advanced Driver Assistance Systems (ADAS). Our team is responsible for developing end-to-end solutions by leveraging the latest advancements in the field of computer vision/deep learning. Our goal is to drive the future of autonomous driving systems by providing reliable, high-performance video perception systems. We are looking for a talented & driven engineers to join our Retrieval team within ViPER which is responsible for building high-performance systems to ingest and retrieve large-scale driving data, critical for training and validating ADAS models. You will work closely with perception, planning & feature teams to develop intelligent data selection pipelines that power machine learning workflows across various ADAS features. The ideal candidate should have experience in building large-scale data systems, efficient querying techniques along with retrieval & recommendation systems, and a strong understanding of deep learning fundamentals. You will deploy tools & services which will be used to retrieve edge-case scenarios, be responsible for developing powerful search and indexing tools, and optimize data pipelines for automating dataset curation for training & validation. Requirements Strong technical background: At least a Bachelors/Master of Engineering in Computer Science or Electrical Sciences or related areas with 4 years of industry experience in designing and implementing vision-based algorithms [prior knowledge of working with deep neural networks is a strong plus]. Skilled software engineer with experience in Python/C++ coupled with strong problem-solving skills. Passionate about solving real-world problems: Ideally worked on autonomous driving systems before. A team player: You take ownership and work with the team to deliver exceptional results. Ability to build and iterate quickly (AGILE mindset). You enjoy working in a fast-paced environment, and you are comfortable in all stages of a product development cycle. Good hands on: You like working with production grade machine learning pipelines, from dataset curation all the way till training, validation & deployment. Good communication skills: You are able to explain technical solutions clearly to all stakeholders. You have experience writing clear, concise, and detailed documentation. Skills Strong knowledge in DL (3yrs min): Computer vision (object detection, segmentation, depth estimation), Sensor fusion (camera, radar, LiDAR), Supervised & Self-supervised learning & Transfer Learning, CNNs and transformers, Real-time model deployment and optimization, Data augmentation and annotation, Scene understanding and 3D perception, Active learning and Semi-automated data annotation techniques Hands on experience in Full stack Vision/Image related projects in production (3yrs min) Data: Visualization, Data preparation, Data handling, Data analysis & deriving insights Model frameworks: Tensorflow & PyTorch Deployment: Docker, Kubernetes Cloud deployment: Azure/AWS Other skiils: Git, Linux, Cuda, OpenMP, Distributed systems

Company RNTBCI PL Job Description Enable AI adoption in various areas of the organisation Manage a team of data analysts and data scientists Competency development - d eveloping p eople through c oaching and m entoring in Computer Vision and Deep Learning Successfully manag e end to end delivery of data models ( CV & DL) including architecture, infra. needs, resourcing, budgeting and prioritisation Lead and Guide all Computer Vision, Image and Video Analytics projects. Keep up with current trends and build competency in team with PoC s / P oC s /Prototypes Lead discussions with business stakeholders Build Business problem/need to Data Science problem statement and solution approach Align data projects with organizational goals Job Family Information Technologies & Systems

Enable AI adoption in various areas of the organisation Manage a team of data analysts and data scientists Competency development - d eveloping p eople through c oaching and m entoring in Computer Vision and Deep Learning Successfully manag e end to end delivery of data models ( CV & DL) including architecture, infra. needs, resourcing, budgeting and prioritisation Lead and Guide all Computer Vision, Image and Video Analytics projects. Keep up with current trends and build competency in team with PoC s / P oC s /Prototypes Lead discussions with business stakeholders Build Business problem/need to Data Science problem statement and solution approach Align data projects with organizational goals Job Family Information Technologies & Systems Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form. In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.

Assistant Professor (Computer Science) Academic Level 10 Sri Sathya Sai Institute of Higher Learning (SSSIHL) Assistant Professor (Computer Science) Academic Level 10 Department of Mathematics and Computer Science, Anantapur Campus SSSIHL/24-25/DMACS/ACA/041 Full-time (Women applicants) Salary: Basic: 57,700 + Dearness Allowance (DA) & House Rent Allowance (HRA) as per Institute rules Higher qualifications and relevant experience will be considered ESSENTIAL QUALIFICATIONS & EXPERIENCE Ph.D. in Computer Science, specializing in any of the following thrust areas: i) Artificial Intelligence ii) Machine Learning iii) Deep Learning iv) Computer Vision v) Computer Networking and Communications vi) Cyber Security vii) Cloud Computing Master s degree in M.Sc. /M.Tech in Computer Science or MCA with a Bachelor s degree in Computer Science / Information Technology / Mathematics / Electronics / Allied Fields. Must have cleared UGC NET/CSIR NET/SLET/SET (unless exempted as per UGC regulations for Ph.D. holders). Good academic performance in relevant fields from a recognized University/Institute Research-oriented mindset with a focus on academic excellence. Ability to integrate modern learning tools and research methodologies Proficiency in English and ability to mentor students effectively Commitment to SSSIHL s code of conduct and values-based integral education system KEY RESPONSIBILITIES Teaching and Academic Leadership Teach courses such as Database Management Systems, Object-Oriented Programming Concepts, Computer Organization and Design, Operating Systems, Computer Networks, Software Engineering, Design and Analysis of Algorithms, etc. Handle lab courses such as C++, Java, Python, Web Programming, Linux System Programming, etc. Active participation in curriculum design aligned with Outcome-Based Education (OBE) principles. Integrate modern pedagogical approaches, including experiential learning and digital tools. Enable experiential learning Research and Innovation Conduct high-impact research in any of the following thrust areas, aligning with institutional focus areas such as Health, Energy, and Environment: i) Artificial Intelligence ii) Machine Learning iii) Deep Learning iv) Computer Vision v) Computer Networking and Communications vii) Cyber Security Publish in reputed peer-reviewed journals and present research findings at national and international conferences. Collaborate with industry and academic institutions to strengthen research initiatives and foster innovation. Seek and secure funded projects to support research and technological development. Student Engagement and Mentorship Participation in curricular, co-curricular activities Mentor students in academic and career development, including research guidance. Support student engagement in competitive exams, innovation challenges, and extracurricular activities. Actively participate in departmental and institutional committees, contributing to academic and administrative activities Participate in NAAC-related data collection activities. STEP 2 Attach your detailed resume (must include details of Ph.D. qualification, NET/SLET/SET or other national level exams passed, teaching/professional experience, roles, and responsibilities in chronological order, list of research publications published in reputed UGC CARE journals and conference presentations & proceedings, list of research projects, significant achievements/recognitions, post-docs and research students guided, Areas of expertise and courses taught at UG/PG level, and at least two references (academic and/or professional) STEP 3 Scanned copies of all certificates/documents related to your educational qualifications and professional experience Applicants desiring to apply for more than one position should submit separate applications for each. SSSIHL reserves the right to reject application forms that are incomplete and not as per specified requirements. SSSIHL reserves the right to call only the requisite number of candidates for an in-person demo and/or interview after shortlisting based on the candidate s suitability for the vacant position. There will be no personal communication with candidates other than those shortlisted for the interview. All applicants are required to ensure that all the information submitted (Resume, Annexure form,and documents) is accurate and correct for scrutiny If any application is found to contain information that is inaccurate or false either during the employment process or after the appointment of the candidate, SSSIHL reserves the right to reject the application at any stage or take stringent action on the employee as deemed suitable.

"> Home / Home / Careers / Careers / Mid Data Scientist Mid Data Scientist Introduction We are looking for 5+years experienced candidates for this role. Job Description Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Bachelors or Masters degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Responsibilities include: Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Have expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Expertise in GenAI models is a must. Design, implement, and optimize data pipelines for model training and deployment. Experience with any one of the model serving frameworks (e.g.,TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for . This is to notify jobseekers that some fraudsters are promising jobs with Reflections Info Systems for a fee. Please note that no payment is ever sought for jobs in Reflections. We contact our candidates only through our official website or LinkedIn and all employment related mails are sent through the official HR email id. for any clarification/ alerts on this subject. Apply Now

Job Description: Design and development of robust, efficient and real-time algorithms for Analysis and Classification of Medical Images using state-of-art techniques from Image Processing, Pattern Recognition, Computer Vision and Machine Learning. Development of innovative solutions for various problems related to Segmentation, Detection, classification and quantification of high resolution (~50K x 50K) coloured images for applications in Digital Pathology. Design of efficient models in Machine Learning / Deep Learning for accurate analysis and classification of High resolution Images. To learn and update oneself on the emerging trends of technology and apply them in the projects for better results leading to publications and patents. Explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography etc. Assign tasks to team members and monitor progress and performance management of the team members Lead module development, production support and maintenance activities Monitor, track and analyse module control metrics Candidate Profile: Academic background: PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background) B. Tech. / B.E. with exceptional academic/professional background Experience (Industrial / R&D) 6+ years of experience Specialization / Domain knowledge: Image Processing, Pattern Recognition, Computer Vision Machine Learning, Deep Learning Experience with Medical Image Processing is an added advantage Technical Hands-on experience in developing and implementing Image Processing and Machine Learning algorithms Strong programming knowledge in any of C, C++, Python, JAVA etc. Hands-on experience in using Deep Learning frameworks and libraries Concepts of parallel architecture on GPU is an added advantage Key Sills : Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, Image Processing, Neural Network To know more about us, do visit us at https://lnkd.in/egFmBSG4. Follow us on - https://www.facebook.com/airamatrix https://twitter.com/airamatrix

Job Title: AI / ML Engineer Company: Mukesh Buildtech (Stealth Startup) Work Location: Salem, Tamil Nadu About Us: Mukesh Buildtech is an innovative stealth startup focused on a new marketplace. We are building a cutting-edge platform that leverages advanced technologies to provide unparalleled user experiences. Join our dynamic team and be a part of our exciting journey from the ground up. If you're interested, please send your updated CV to sumathi@mukeshassociates.com. Role Overview: We are seeking a talented and passionate AI/ML Engineer to join our founding team. In this role, you will be responsible for developing and deploying state-of-the-art computer vision models that will be integral to our marketplace platform. You will work closely with our engineering and product teams to create innovative solutions that enhance user interactions and streamline operations. Key Responsibilities: Develop and deploy advanced computer vision models to enhance platform capabilities. Developing and deploying ML models in production. Experience with generative models, video models, or multimodal models is a plus. Research, prototype, and implement new AI features using cutting-edge computer vision techniques. Optimize model performance for speed, accuracy, and scalability. Collaborate with cross-functional teams to translate customer requirements into AI features. Contribute to the technical vision and architecture of our AI systems. Stay up-to-date with the latest advancements in computer vision research and apply them to our products. Qualifications & Experience: Min 3 yrs experience in Image Recognition, Yolo11, OpenCV, Pytorch, Tensorflow, Python, Dataset At least one Product identification web project experience BE CS, IT, ECE, EEE, MCA Experience in Machine Learning (ML), with a particular emphasis on Computer Vision (CV) Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models Experience with TensorFlow, PyTorch or Keras Proficiency in Python is essential, especially with libraries such as NumPy, OpenCV, and scikit-image Experience with databases (SQL and NoSQL) for managing datasets. Understanding of APIs (REST, GraphQL) for connecting computer vision models with frontend or other backend services Knowledge of cloud services (AWS, Azure, Google Cloud) for deploying and managing models Experience with Docker and Kubernetes for containerization and deployment Understanding of software development best practices, version control (Git), and CI/CD pipelines. Why Join Us: Be a part of a pioneering team at the forefront of marketplace innovation. Work in a collaborative and dynamic environment with opportunities for growth. Contribute to a product that will have a significant impact on the industry.

Job Title: AI / ML Engineer Company: Mukesh Buildtech (Stealth Startup) Work Location: Salem, Tamil Nadu About Us: Mukesh Buildtech is an innovative stealth startup focused on a new marketplace. We are building a cutting-edge platform that leverages advanced technologies to provide unparalleled user experiences. Join our dynamic team and be a part of our exciting journey from the ground up. If you're interested, please send your updated CV to sumathi@mukeshassociates.com. Role Overview: We are seeking a highly skilled Computer Vision & Machine Learning Engineer with expertise in AI-driven image recognition, object detection, and model deployment . The ideal candidate will have experience working with Stable Diffusion, SDXL, ControlNet, and LoRA models for advanced image generation, along with a solid background in TensorFlow, PyTorch, and OpenCV . You will be responsible for fine-tuning models, integrating AI-driven image-processing workflows, and deploying them at scale. Key Responsibilities: Develop and fine-tune Stable Diffusion, SDXL, ControlNet, LoRA models for computer vision applications. Implement inpainting, outpainting, and style transfer techniques to enhance image processing capabilities. Dynamically load LoRA adapters to optimize AI-generated content workflows. Deploy and maintain Inference APIs that trigger backend processes and return image blobs efficiently. Utilize Real-ESRGAN, SwinIR, and other upscaling models to improve image resolution and output quality. Integrate safety checkers to filter out NSFW/violent content within AI-generated images. Optimize GPU scheduling to ensure efficient routing of requests to available GPU workers. Implement model caching strategies to reduce unnecessary reloads and improve inference speed. Work with SQL and NoSQL databases to handle large-scale datasets for training and inference. Collaborate with cross-functional teams to develop and integrate AI models into production environments. Deploy models using cloud services (AWS, Azure, Google Cloud) and containerization tools such as Docker and Kubernetes . Maintain and improve CI/CD pipelines , version control ( Git ), and best practices for model deployment. Adapt pre-trained LLMs for image and product identification applications . Required Skills & Qualifications: 2+ years of experience in Computer Vision, Image Recognition, and Machine Learning . Proficiency in Python , including libraries such as NumPy, OpenCV, and scikit-image . Strong expertise with TensorFlow, PyTorch, or Keras for deep learning model development. Experience working on product identification projects or similar AI-driven applications. Hands-on experience with fine-tuning deep learning models for optimized performance. Understanding of REST and GraphQL APIs for backend AI model integration. Knowledge of database management (SQL & NoSQL) for dataset processing. Familiarity with cloud platforms (AWS, Azure, Google Cloud) for model deployment. Expertise in Docker & Kubernetes for scalable AI systems. Strong grasp of Git, CI/CD pipelines , and software development best practices . Why Join Us: Be a part of a pioneering team at the forefront of marketplace innovation. Work in a collaborative and dynamic environment with opportunities for growth. Contribute to a product that will have a significant impact on the industry.