Job Description: The content writer is responsible for creating clear, engaging, and informative written material tailored to our brands voice across various solutions, including websites, blogs, social media, and marketing campaigns. They conduct research, optimize content for SEO, and collaborate with cross functional teams to support communication and marketing goals. Responsibilities: Formulating a comprehensive content creation plan. Creating content for marketing Artificial Intelligence based products, solutions, and services targeted at global players in the Life Sciences industry (including the Pharmaceutical, Healthcare & Research domains) Promotional materials for trade-shows and conferences (brochures, standees, email blasts, social media posts). Content for the company website, blogs, white papers, mainstream media publications, etc. Assist in drafting submissions for scientific journals, and oral and poster presentations. Collaborate with cross functional teams Develop and execute content strategies aligned with marketing goals, product launches, and brand messaging. Collaborate with product, data science, medical, and marketing teams to extract insights and develop content narratives. Ensure all content is medically accurate, legally compliant, and aligned with brand voice and tone. Required Qualifications & Experience: A bachelors degree, preferably but not necessarily in any of the Science fields; fluency in written and spoken English are mandatory. 7+ years of experience in content writing, with at least 2+ years in healthcare or technology (AI/ML preferred). Exceptional writing, editing, and storytelling skills. Proven ability to create content that resonates with healthcare professionals and executives. Experience in B2B healthcare marketing. Proficiency in content tools such as CMS platforms (e.g., WordPress), Google Docs, Grammarly, and SEO tools (e.g., SEMrush, Clearscope). Demonstrated ability to write for clinical and technical audiences, with a portfolio of published work. Work Timing and Days: Flexible Work Timing 5 Days per week

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 Description: AI Engineering Manager / AI Project Manager Position Overview: We are seeking an experienced AI Engineering Manager to lead our AI projects and drive innovation in deep learning applications. The ideal candidate will have a strong background in the latest deep learning architectures, including Convolutional Neural Networks (CNNs) and Transformers, and possess project management experience in overseeing AI initiatives. Key Responsibilities: Lead the design, development, and deployment of AI solutions, ensuring alignment with organisational goals. Manage AI projects from inception to completion, coordinating cross- functional teams and resources effectively. Oversee the implementation of deep learning algorithms for various applications, particularly in medical image analysis. Mentor and guide team members, fostering a collaborative and innovative work environment. Ensure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts. Qualifications: Proven experience in managing AI projects and teams. Strong knowledge of deep learning architectures such as CNNs and Transformers. Prior experience in the medical image analysis field is preferred. Proficiency in programming languages including Python, C, and C++. Experience in people management and team leadership. Preferred Skills: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch). Excellent communication skills and the ability to work collaboratively across teams. Candidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR are preferred.

Job Description: The resource is expected to develop UI for digital pathology software that includes image viewers. It would be desirable that candidates review the existing software and come up with new UX designs wherever required. The resource is expected to be a self-initiator who can achieve challenging tasks independently. Ability to test and debug for web developments. Functional and unit testing knowledge . Candidate Profile : Technical: Primary skill sets required are JavaScript, TypeScript, AngularJS, Angular 8+ (Angular10 Preferred), HTML 5 Canvas, BootStrap, CSS (and related web UI development tools), AJAX, JSON Good at basic problem solving and programming. Hands on experience UX design is desirable Key Skills : Angular8, Angular JS, Angular 8+,Responsive Web design (RWD), Html ,CSS, Java Script, jQuery, BootStrap Knowledge of Android and / or ios is preferred. Academic background: Bachelors degree in Computer Science or IT is a must and B.E is preferred Prefer a person with hands-on coding skills than any specific qualification.

Job Description For Senior / Software Engineer :- Efficiently able to design and implement software features. Effective skills in writing quality, re-usable, scalable, and test-supported code. Innovate/suggest new technologies, architectures, and frameworks. Perform code reviews and ensure code quality is maintained for products and service delivered by the team. Identify bottlenecks and bugs, and devise appropriate solutions. Expertise in high-quality software engineering practices for agile software development cycle, including source control management, build processes, testing and deployment. Determining and implementing design methodologies and toolsets. Carrying out Live Projects & POCs to ensure that suggested design/technologies meet the requirements. Effective communication with technical teams to collect requirements, and describe software product features and technical designs. Candidate Profile : Highly proficient in Java (preferably version 8 or higher) . Hands-on experience in Spring, Spring Boot, Spring Security, OAuth2.0, and JWT. Hands-on experience in Spring Cloud Gateway, Eureka, Hystrix, and ORM Frameworks. Hands-on experience with Web Services like REST. Experience with relational and non-relational databases. Understanding the functional requirements and analyzing the clients needs in the project context. Solid understanding of OOPs concepts and design patterns. Awareness of secure coding practices. Experience in CICD, Jenkins , SonarQube, GITLAB, JIRA , and JUnit will be an added advantage. Experience in Spring Batch, Kubernetes, and Docker is a plus. Key Skills : Core Java, Spring Boot, Microservices, Hibernate, Data structures, Algorithms, REST services, and Application Servers. Academic background Qualification: B.Tech/ M. Tech/MCA candidates. Need prospects with hands-on coding skills. Immediate Joiners will be high on the priority list

CUDA is a must JD For Senior / Lead Engineer (HPC GPU):- As a Senior / Team Lead (HPC) you will provide leadership in designing and implementing groundbreaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for accelerating our deep learning models. As an expert, you will help us with the strategic challenges we encounter, including compute, networking, and storage design for large scale, high-performance workloads, effective resource utilization in a heterogeneous computing environment, evolving our private/public cloud strategy, capacity modelling, and growth planning across our products and services. As an architect you are responsible for converting business needs associated with AI-ML algorithms in to a set of product goals covering workload scenarios, end user expectations, compute infrastructure and time of execution; this should lead to a plan for making the algorithms production ready Benchmark and optimise the Computer Vision Algorithms and the Hardware Accelerators for performance and quality KPIs. Optimize algorithms for optimal performance on the GPU tensor cores. Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment. Mentor and manage the reporting team Skills Required BE / MS or PhD in Computer Science, Electrical Engineering, or related field. A strong background in deployment of complex deep learning architectures . 3+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow or Torch): Numerical analysis, Performance analysis, Model compression and Optimization & Computer architecture. Strong Data structures and Algorithms know-how with Excellent C/C++ programming skills. Hands-on expertise with PyTorch, TensorRT, CuDNN Hand-on expertise with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud. Proficient in Python programming and bash scripting. Proficient in Windows, Ubuntu and Centos operating systems. Excellent communication and collaboration skills. Self-motivated and able to find creative practical solutions to problems. Good to have Hands-on experience with HPC cluster job schedulers such as Kubernetes, SLURM, LSF. Familiarity with cloud computing architectures Hands-on experience with Software Defined Networking and HPC cluster networking. Working knowledge of cluster configuration management tools such as Ansible, Puppet, Salt. Understanding of fast, distributed storage systems and Linux file systems for HPC workloads.