146 Torch Jobs - Page 3

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. The Role As a Data Science Lead with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc…. Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class. Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations IT Skills & Experience Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team. Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning Knowledge of MLOps process for efficient management of the AI/ML projects. Must have lead project execution with other data scientists/ engineers for large and complex data sets Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests. Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50. Demonstrated capability using RNNS for text, speech data, generative models Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc. Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data People Skills Professional and open communication to all internal and external interfaces. Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Strong analytical skills. Industry Specific Experience 10 -18 Years of experience of AI/ML project execution and AI/ML research Education – Qualifications, Accreditation, Training Master or Doctroate degree Computer Science Engineering/Information Technology /Artificial Intelligence Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Job Overview: Qualcomm is a company of inventors that unlocked 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. We are investing in several supporting technologies including 4G, 5G, Edge Computing, and Deep Learning. The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond. We are seeking ambitious, bright and innovative engineers with experience in Machine learning frameworks, compiler technology, vectorization and optimization, and machine learning toolchains. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must. We are looking to staff engineers at multiple levels in systems & software, integration and test. Details of one of the roles we are looking to staff are listed below. Responsibilities: Research, design, develop, enhance, and implement the different components of machine learning framework, compilers based on performance and code-size needs of the customer workloads and benchmarks. Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs. Analyze and identify system level integration issues, interface with the software development, integration and test teams. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 8+ years Systems Engineering or related work experience. Preferred Qualifications Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow. Has experience in model level optimization using techniques like torch compile. LLVM or any industrial strength compiler development experience is a plus. Knowledge of the structure and function of the compiler internals. Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus. Hands-on experience implementing DSP Kernels a plus Hands-on Experience in C/C++, Python development (5+ years) Hands-on Experience with Object Orientated Design, TDD development solutions such as GoogleTest etc. (4+ years) Experience with Source Code and Configuration management tools, git knowledge is required Willingness to work in a cohesive software development environment with ability to work on low level implementation (code & test) and interfacing with hardware and simulators Experience in neural network architectures + ML compiler workload synthesis, a plus Prior working experience of hardware accelerators and hardware software co-design Experience in using C++ 14/17 (advanced features) Experience at both the firmware (RTOS) and system level (Linux) in SOC Experience of profiling software and optimization techniques Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3076831

Ensure the ward is clean and tidy including bed. Keep all articles well arranged and maintain the inventory. Take the report, make bed to bed round at the time of changing of the shift of the unit. Orient the new patient with ward. Make list of patients belongings and keep in safe custody, according to laid down policy of the hospital. Keep a sub stock of drugs, linen and other supplies for ward maintenance. Ability to draw intravenous and peripheral blood. Indent drugs, diet, and other supplies if necessary. Write report of each shift and sign the report after checking properly. Assist the ward sister in orientation program of new staff and students. Make round with doctors and senior nursing officers. Responsible for Bed making, checking availability of requisition forms, thermometer, torch, BP apparatus etc. Daily inventory to be checked room wise. Assist the consultants as and when required during physical examination of the patient. Report all accidents/ incidents/complaints regarding patient to senior nursing staff /Doctors. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹24,000.00 per month Benefits: Health insurance Leave encashment Paid time off Provident Fund Schedule: Day shift Morning shift Night shift Rotational shift Supplemental Pay: Overtime pay Yearly bonus License/Certification: APNMC Registration (Required) Work Location: In person

About Us: We are an innovative and fast-growing company focused on leveraging cutting-edge technology to explore new opportunities in various industries. Our focus is on applying artificial intelligence (AI) and large language models (LLMs) to solve real-world business challenges. Job Description: We are seeking motivated and independent AI & LLM interns to help explore and develop AI-driven solutions. This internship offers the chance to work on AI projects that involve natural language processing (NLP), machine learning, and large language models, providing real-world applications for these technologies. Key Responsibilities: Independently explore and experiment with LLM models to identify potential applications and opportunities. Develop and fine-tune AI models using transformer architectures (e.g., GPT, BERT, etc.). Conduct research on emerging AI and NLP trends to identify new areas for growth. Analyze and interpret data sets to train AI models. Work on building prototype AI solutions for potential business applications. Document findings, processes, and recommendations for future projects. Creating AI agents using available tools in market including ChatGPT & Claude Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong understanding of machine learning algorithms, natural language processing, and deep learning models. Experience with Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face). Familiarity with transformer models and their applications. Strong analytical and problem-solving skills. Ability to work independently and manage tasks with minimal supervision. Eagerness to learn and stay updated with emerging AI trends. What We Offer: Hands-on experience working with real-world AI/LLM applications. Opportunities to contribute to innovative AI projects.

Fynd is India’s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries. As a Machine Learning Engineer, the purpose of this role is to work with our machine learning research team to develop, implement and deploy machine learning and deep learning models. Our core area of work is in the field of computer vision so you will require some familiarity with convolutional neural networks. Please find our research page : https://research.fynd.com/ Some of our products: https://www.erase.bg/, https://www.upscale.media/ What will you do at Fynd? Work on the deployment of machine learning and deep learning models. Help in accelerating model inference using various compression tools like onnx, Torch script, TensorRT, OpenVINO ....etc. Develop and maintain a data streaming pipeline (both batch and real-time) for data integration and large-scale machine learning. Deliver best practices recommendations and technical presentations around machine learning deployment including real-time modeling. Maintain and further enhance the internal model feature store and optimize the feature engineering script. Full life cycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment. Responsible for the end-to-end deployment of predictive models including scoping, testing, implementation, maintenance, tracking, and optimization of predictive models. Responsible for complete and accurate documentation of all development around machine learning engineering. Some Specific Requirements 4+ years of experience implementing and deploying machine learning and deep learning frameworks through distributions cluster and application programming in cloud platforms including AWS and GCP. Basic Knowledge of tools/libraries such as TensorFlow, PyTorch, Keras, NumPy, pandas etc. Strong understanding of data structures and algorithms and experience in Python. Some experience with computer vision(classification, segmentation, object detection) pipelines Deep experience across systems integration, information management, data management and architecture, and business analytics. Language: Python, Java, Scala, Unix bash script, REST API process. What do we offer? Growth Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially. Flex University: We help you upskill by organising in-house courses on important subjects Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you. Culture Community and Team building activities Host weekly, quarterly and annual events/parties. Wellness Mediclaim policy for you + parents + spouse + kids Experienced therapist for better mental health, improve productivity & work-life balance We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment!

Royal IHC is a global market leader in the construction of ‘Equipment at Sea’. We are an important supplier of vessels and mission equipment for the dredging, offshore, defense and mining industry. IHC India is part of IHC’s global network and is our foothold in India. With multiple IHC build vessels and equipment operational in India and sailing India’s rivers and seas. A lot of services, upgrades and repairs are required. Our mission is to be the preferred supplier of equipment and services for the offshore, dredging and mining industry in India. Qualifications & Certifications High school diploma or equivalent qualification. CW certified welder. Excellent command of English, both in Speaking and Writing. Professional Certification (e.g. an AWS welding certificate). Certified training program/course (e.g. from IIW or ITI). Proven experience as a Fabricator or similar role within the manufacturing industry. Candidates near by Mumbai, Navi Mumbai and Pune are preferred. Experience Minimum 5 – 7 Years of experience in the field of shipbuilding. Skill / Attributes / Competencies Knowledge of using a variety of welding equipment and procedures (TIG, MMA etc.). Technical knowledge of shipbuilding processes and materials. Knowledge of metals, tools, welding machines, and cutting equipment (saws, squares, calipers etc.). Ability to read and interpret technical documents, product schematics and fabrication drawings. Proficiency in welding, cutting and shaping techniques. Proficient in application of basic mathematics, fabrication and welding techniques. Diligent and professional executions of assigned work up to the required standards of quality and time. Understanding of welding specifications, codes and symbols. Knowledge of all phases of steel repairs according to sketches and drawings such as fitting, cutting by oxy torch and tack welding. Ability to develop templates and fabrication jigs. Attention to detail and quality control. Effective communication and teamwork skills. Knowledge of addressing and resolving problems and other work related issues . Ability to work independently. Prevent wastage of materials. Knowledge of relative safety standards and willingness to use protective clothing and equipment (face-shield, gloves etc.) Main Responsibilities and Tasks Reads and interprets blueprints, drawings and diagrams, design specification to determine project requirements. Measures and marks metal plate, pipes and other materials for cutting. Determines the appropriate welding equipment or method based on requirements Cuts, grinds and shapes metal plates, pipes and other materials using various tools and machinery. Setting up components for welding according to specifications (e.g. cut material with powered saws to match measurements) Operates angle grinders to prepare the parts that must be welded Inspects and tests the completed work to ensure quality, accuracy and adherence to specifications. Maintains and stores tools, machinery and equipment in a condition that does not compromise safety. Coordinates with other fabricators, welder and engineers, designers and shipbuilders to ensure efficient production. Ensures all necessary documentation, records, reports and data are completed and collated and appropriately archived. Keeps the direct supervisor informed by reporting the progress, raising concerns and receives instructions from supervisor. Aligns components using calipers, rulers etc. and clamp pieces. Welds components using manual or semi-automatic welding equipment in various positions (vertical, horizontal or overhead). Repairs machinery and other components by welding pieces and filling gaps. Ensures all fabrication and welding consumable readily available. Maintains and ensures a clean, safe and organized work environment in compliance with company and safety regulations. Ensures all portable tools and equipment are tracked, inspected serviced & kept fit for continued use. Health, Safety, Environmental & Quality Responsibilities Responsible for refusing unsafe work and for carrying out all work in accordance with the established safety standards and work practices. Follows safety guidelines, wear personal protective equipment(PPE). Ensures all accidents / incidents / near misses / hazards are immediately reported and relevant paper work is completed. Participates in Health, Safety & Environment communication and consultation. Complies with IHC Quality and HSE Management System and Policies.

Skills: Machine Learning, Deep Learning, Feature Engineering, Time Series Analysis, Model Deployment, Cloud Computing, Python, C++, Company Overview Innovative Talent Solutions is an IT services and consulting firm based in New Delhi, extending its services to the USA. We specialize in delivering tailored manpower solutions across industries, prioritizing integrity and efficiency. Our experienced team excels in sourcing skilled candidates and placing them in suitable roles, ensuring superior performance for our clients. Job Overview We are seeking a Mid-Level AI Engineer to join our client team KLA India Chennai . This is a full-time position within Innovative Talent Solutions. The ideal candidate should possess expertise in advanced AI methodologies and a passion for developing cutting-edge solutions. The role involves using artificial intelligence to drive innovation and efficiency for various projects and clients. Qualifications And Skills Proficiency in machine learning methodologies to develop predictive models and improve processes efficiently. Strong understanding and experience with deep learning architectures to solve complex problems in diverse domains. Expertise in feature engineering, enabling the transformation of raw data into meaningful features for model training. Capability to perform time series analysis for revealing trends, seasonal patterns, and forecasting future data values. Experience in model deployment, ensuring the smooth integration of developed models into production environments. Strong skills in cloud computing platforms such as AWS, Azure, or Google Cloud for implementing scalable AI solutions. Ability to work collaboratively in a team environment, contributing to the successful completion of AI projects. Excellent problem-solving skills, enabling identification, and resolution of challenges during the AI model development lifecycle. Roles And Responsibilities Design and develop machine learning models and algorithms to address specific client needs and industry issues. Collaborate with cross-functional teams to integrate advanced AI solutions into existing systems and processes. Analyze and preprocess large datasets to facilitate effective training and evaluation of AI models. Deploy and monitor machine learning models in production settings, ensuring optimal performance and functionality. Stay updated on emerging AI technologies and methodologies to continuously improve the company's AI capabilities. Document the development process, findings, and model performance for knowledge sharing and future reference. Provide technical support and troubleshooting assistance to clients, ensuring the smooth operation of deployed solutions. Participate in the creation and delivery of presentations and proposals to communicate AI capabilities and solutions to clients. Total experience not more than 9 years B.Tech/MSC: Minimum 4+ years or M.Tech/MS: Minimum 3 +years or Phd + 0 years( candidate MUST be from tier 1 college) Degree Only from Tier 1 College(IIT/IIIT/IISC/NIT/VIT) Or Tier 1 state Colleges (PSG/CEG) Candidates from product company only Min 4 Yrs Experience In The Below Skills Artificial Intelligence Machine learning Deep Learning 2 yrs exp in Computer vision/Image processing No job hoppers(candidate must have good stability- min 2 years in an organisation) No Poach - HCL (current company must not be HCL) Minimum Qualifications New college graduates in any of the following degree: Ph.D., Dual Degree, Masters, or Bachelors. (Candidates from EE, CS and Mathematics background would be preferred) The ideal candidate will have a working knowledge of Machine Vision. Knowledge of Deep Learning with working experience in Tensor Flow, Theano, PyTorch etc. Working experience in one or more of the following DL techniques: GANs, Auto Encoders, Semantic Segmentation, Ability to formulate problems into mathematical equations. Relocation to Chennai is mandatory Job Description This position involves developing advanced image processing algorithms for the wafer inspection. Deep understanding and application knowledge on the machine learning and computer vision, familiar with major deep-learning architecture, like CNN, GAN, Transformer. Strong hands-on coding ability on either python or C++, experience with Linux is preferred. Familiarity with the major DL frameworks either TensorFlow or Py Torch Great teammate with excellent written and verbal communication skills. Experience of unsupervised machine learning, handling large data and anomaly detection is a bonus. Experience of deploying a ML/DL algorithm solution end-to-end is preferred.

Job Responsibilities: Design, develop and implement solutions for a wide range of NLP use cases involving classification, extraction and search on unstructured text data Create and maintain state of the art scalable NLP solutions in Python/ Java/ Scala for multiple business problems. This involves: Choosing most appropriate NLP technique(s) based on business needs and available data Performing data exploration and innovative feature engineering Training and tuning a variety of NLP models / solutions which include regular expressions, traditional NLP models as well as SOTA transformer based models Augmenting models by integrating domain specific ontologies and/or external databases Reporting and Monitoring the solution outcome Work experience with document-oriented databases such as MongoDB Collaborate with ML engineering team to deploy NLP solutions in production - both on premise as well as cloud deployment Interact with clients and internal business teams to perform solution feasibility as well as design and develop solutions Open to working across different domains – Insurance, Healthcare and Financial Services etc. Required Skills: Experience (including graduate school) on training machine learning models, applying and developing text mining and NLP techniques Exposure to OCR and computer vision Experience in extracting content from documents is preferred Experience (including graduate school) with Natural Language Processing techniques is required Hands on experience with Natural Language Processing tools such as Stanford CORE-NLP, NLTK, spaCy, Gensim, Textblob etc. Experience/ Familiarity with document clustering in supervised un un-supervised scenarios Expertise in at least two of the state of the art techniques in NLP like BERT, GPT, XL Net etc. Applied experience of machine learning algorithms using Python Organized, self-motivated, disciplined and detail oriented Production level coding experience in Python is required Ability to read recent ML research papers and adapt those models to solve real-world problems Experience with any deep learning framework, including Tensorflow, Caffe, MxNet, Torch, Theano Experience with optimization on GPUs (a plus) Hands on experience with using cloud technologies on AWS/ Microsoft Azure is preferred

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Lead Consultant, AI ML Lead! In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer&rsquos business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities . Develop transformative AI/ML solutions to address our clients%27 business requirements and challenges . Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning . Manage Stakeholder/Customer Expectations . Project Blue Printing and Project Documentation . Creating Project Plan . Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. . Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines . Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. . Work with digital development teams to integrate and transform these algorithms into production quality applications . Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Qualifications / Skills . MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. . Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience . Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology . Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS . Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS-Text Miner . Strong Core Java experience in large scale product development and functional knowledge of RDBMs . Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing . Very good python/R programming skills. Java programming skills a plus Methodology . Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data . A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU . Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc . Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client&rsquos analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology . Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods . OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, NoSQL . UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 . Linux, Windows, GPU Experience . Spark, Scala for distributed computing . Deep learning frameworks such as TensorFlow, Keras, Torch, Theano Methodology . Social Network modeling paradigms, tools & techniques . Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis . Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner . Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Company Name: ARAPL RaaS Pvt. Ltd. Location : Gurgaon, Pune Mode: Work From Office (WFO) / Hybrid Who We Are ARAPL RaaS Pvt. Ltd is a leading technology company specializing in Robotics as a Service (RaaS). We are at the forefront of innovative autonomous solutions, with a focus on developing cutting-edge autonomous mobile robots (AMRs). We are seeking a dynamic and experienced Lead Project Manager to spearhead the development of our autonomous forklift AMR. The successful candidate will play a critical role in assembling a technical team, managing the project's progress, controlling the budget, and establishing key supplier relationships. What We Need We are seeking a highly motivated and experienced Lead Robotic Engineer specializing in Perception to join our dynamic team and play a critical role in the development and implementation of advanced robotic perception and computer vision systems for our robots. The ideal candidate will be responsible for leading and guiding a team of engineers in designing, developing, and deploying robust and efficient algorithms for object detection, tracking, scene understanding, and semantic segmentation. Additionally, the candidate will utilize 3D cameras and LiDAR's to enhance the accuracy and precision of object recognition in various environments. This role offers an exciting opportunity to contribute to cutting-edge robotics technology and make a significant impact on the field. The ideal candidate will also be responsible for staying abreast of the latest advancements in the field and driving innovation within the team. Job Description Lead, mentor, and manage a team of engineers developing robotic perception and computer vision systems. Architect, design, and deploy deep learning and classical vision algorithms for: Multi Object and Single Object detection and tracking Object classification and re-identification Semantic and instance segmentation Scene understanding and Free-Space detection Develop robust sensor fusion models using LiDAR, stereo/depth cameras, and IMU/GPS. Ensure real-time performance and efficient computation on edge devices (e.g., NVIDIA Jetson, x86 systems). Own perception subsystem integration with the full autonomy stack (navigation, planning, control). Perform extensive validation via simulations and real-world testing in warehouses and factories. Collaborate cross-functionally with navigation, controls, systems engineering, and product teams. Maintain high-quality documentation, architecture diagrams, and code standards. Utilize deep learning, classical CV, and geometric methods for robust real-time performance. Drive innovation through research, evaluation of emerging technologies, and PoCs. Skill Sets Required Ph.D. or master's degree in Robotics, Computer Vision, Electrical Engineering, or related field. 4-7 years’ of demonstrated experience in developing and deploying perception systems for robots. Strong proficiency in programming languages such as Python, C/C++ Hands-on knowledge of data structures and algorithms for point cloud processing and are familiar with ROS/ROS2, OpenCV and PCL Expertise with tools and libraries like OpenCV, PCL, Tensor RT, Py Torch. Experience in tracking-by-detection, sensor calibration, and point cloud processing Hands-on experience with LiDARs (e.g., Velodyne, Ouster) and 3D cameras (e.g., ZED, Intel RealSense). Familiarity with ADAS concepts such as forward collision warning, object avoidance zones, and fail-safe sensing.\ Hands-on experience with 3D cameras and LiDARs for perception applications. Strong communication and leadership skills Passion for robotics and a desire to push the boundaries of technology. Benefits Competitive salary with performance-based bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and continued education. Collaborative and innovative work environment.

We are looking for a highly skilled and motivated Data Scientist with deep experience in building recommendation systems to join our team. This role demands expertise in deep learning, embedding-based retrieval, and the Google Cloud Platform (GCP). You will play a critical role in developing intelligent systems that enhance user experiences through personalized content discovery. Key Responsibilities: Develop, train, and deploy recommendation models using two-tower, multi-tower, and cross-encoder architectures . Generate and utilize text/image embeddings (e.g., CLIP , BERT , Sentence Transformers ) for content-based recommendations. Design semantic similarity search pipelines using vector databases (FAISS, ScaNN, Qdrant, Matching Engine). Create and manage scalable ML pipelines using Vertex AI , Kubeflow Pipelines , and GKE . Handle large-scale data preparation and feature engineering using Dataproc (PySpark) and Dataflow . Implement cold-start strategies leveraging metadata and multimodal embeddings. Work on user modeling , temporal personalization , and re-ranking strategies . Run A/B tests and interpret results to measure real-world impact. Collaborate with cross-functional teams (Engineering, Product, DevOps) for model deployment and monitoring. Must-Have Skills: Strong command of Python and ML libraries: pandas, polars, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers. Deep understanding of modern recommender systems and embedding-based retrieval . Experience with TensorFlow , Keras , or PyTorch for building deep learning models. Hands-on with semantic search , ANN search , and real-time vector matching . Proven experience with Vertex AI , Kubeflow on GKE , and ML pipeline orchestration. Familiarity with vector DBs such as Qdrant , FAISS , ScaNN , or Matching Engine on GCP. Experience in deploying models via Vertex AI Online Prediction , TF Serving , or Cloud Run . Knowledge of feature stores , embedding versioning , and MLOps practices (CI/CD, monitoring). Preferred / Good to Have: Experience with ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate scoring. Exposure to LLM-powered personalization or hybrid retrieval systems. Familiarity with streaming pipelines using Pub/Sub , Dataflow , Cloud Functions . Hands-on with multi-modal retrieval (text + image + tabular data). Strong grasp of cold-start problem solving , using enriched metadata and embeddings. GCP Stack You’ll Work With: ML & Pipelines: Vertex AI, Vertex Pipelines, Kubeflow on GKE Embedding & Retrieval: Matching Engine, Qdrant, FAISS, ScaNN, Milvus Processing: Dataproc (PySpark), Dataflow Ingestion & Serving: Pub/Sub, Cloud Functions, Cloud Run, TF Serving CI/CD & Automation: GitHub Actions, GitLab CI, Terraform

As a Data Scientist at Roadzen, you will play a pivotal role in harnessing the power of data to inform critical business decisions and drive key outcomes. Responsibilities Collaborate with stakeholders across the organization to identify opportunities for leveraging company data to drive impactful business solutions. Mine and analyze data from company databases to optimize product development, marketing techniques, and business strategies. Evaluate the effectiveness and accuracy of new data sources and data-gathering techniques. Develop custom data models and algorithms to extract valuable insights from diverse datasets. Utilize predictive modeling to optimize customer experiences, revenue generation, ad targeting, and other critical business outcomes. Coordinate with different functional teams to implement models and monitor their performance. Create and maintain processes and tools to monitor model accuracy and ensure data integrity. Requirements Strong problem-solving skills with a focus on product development and optimization. Proficiency in using statistical languages such as R, Python, and SQL to manipulate data and derive actionable insights from large datasets. Experience working with and creating data architectures. Proven experience in image classification, segmentation, detection, and other vision-related problems, with a deep understanding of deep learning models. Familiarity with frameworks and libraries such as Torch, TensorFlow, OpenCV, PIL, FastAPI/Flask (for deployment), SQL, Docker, and Version Control systems. Excellent written and verbal communication skills for effective collaboration across various teams. A strong drive to continuously learn and master new technologies and techniques in the data science field. This job was posted by Harshita Arora from Roadzen.

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

PL such as Python; Framework : Django, Flask. Proficient in MySQL with expertise in PL SQL, Triggers, Joins, and Views. Experience using CV using TensorFlow and Torch. Exp in object detection models like YOLO, SSD. Exp with HTML, , and JavaScript Required Candidate profile Good communication and teamwork skills Experience with cloud platforms such as AWS, Azure, or GCP is a plus Experience SQL and NoSQL databases such as MongoDB. Knowledge of System Architecture

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Lead Consultant, AI ML Lead! In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais , StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus Methodology Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais, StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Lead Consultant Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 25, 2025, 4:50:00 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Job Description: You will provide leadership in designing and implementing ground-breaking 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. Assign tasks to the team and monitor as well Skills Required MS or PhD in Computer Science, Electrical Engineering, or related field. A strong background in deployment of complex deep learning architectures . 7+ 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. About Company: AIRA Matrix provides artificial intelligence based solutions for Life Sciences applications. Our solutions improve efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology and ophthalmology workflows across pharmaceutical and healthcare laboratories. We leverage machine and deep learning techniques to develop diagnostic, prognostic, and predictive solutions. Our solutions provide cost benefits in the pharmaceutical domain, by speeding up pre-clinical drug development timelines, and by enhancing the efficiency of environmental monitoring required in manufacturing. In healthcare applications, our solutions improve treatment outcomes by aiding disease stratification and enabling management protocols tailored to individual patients. Our clients and partners include leading hospitals, pharmaceutical companies, CROs, and research labs around the world. Our deep learning platforms with existing network models and pre-built AI applications provide the foundation for fast customizations and help tackle any unique challenges in your image analysis and study management workflows. Our flexible service model enables the swift deployment of these custom solutions with minimal resource and time commitment from your side. Our Application Development Team plays an important role in developing competent customer facing applications to access our AI solutions and enterprise-level image management systems in life sciences. -- Regards, Surya Prajapati Talent Acquisition Specialist Email : surya.prajapati@airamatrix.com Website : https://www.airamatrix.com Dosti Pinnacle, 801, Rd No. 22, Wagle Industrial Estate , Thane (W) Maharashtra, India - 400604.

Designation: Production Supervisor (Sheet Metal Fabrication – Cutting & Press Shop) Key Responsibilities: 1. Daily Production Supervision: Monitor daily production targets and ensure timely execution as per plan. Allocate manpower and resources effectively across machines (shearing, laser, plasma, press). Coordinate with production planning and control (PPC) for schedule adherence. 2. Machine-wise Oversight: Shearing Machine: Ensure blade clearance and alignment settings. Supervise precision cutting, sheet squareness, and quality checks. Schedule and coordinate maintenance and sharpening of blades. Plasma Cutting Machine: Oversee CNC program loading and sheet nesting optimization. Check cut quality (kerf, dross level) and troubleshoot torch/gas issues. Monitor consumables usage and replacement schedule. Laser Cutting Machine: Validate laser settings based on material thickness. Ensure burr-free cutting, edge quality, and dimensional accuracy. Maintain optical components cleanliness and safety compliance. Press Shop (63 Ton – 500 Ton, Hydraulic & Power Press): Check die setting, stroke length, and press parameters. Supervise forming, blanking, piercing operations as per tool design. Inspect parts for burrs, cracks, and dimensional tolerances. Handle quick tool changeovers and ensure press safety protocols. 3. Quality & Inspection: Conduct in-process inspections and coordinate with QA team. Ensure zero-defect output through operator training and awareness. Implement first-piece inspection and approval system. 4. Maintenance & Downtime Management: Report equipment faults and ensure timely resolution via maintenance team. Maintain logbooks for machine downtime, breakdowns, and corrective action taken. 5. Safety & Compliance: Enforce proper PPE usage and machine safety interlocks. Conduct daily safety checks and ensure compliance with ISO/OSHA standards. Lead 5S and housekeeping in the work area. 6. Manpower Handling: Supervise and guide machine operators and helpers. Ensure proper shift handover and attendance tracking. Train new workers on operational SOPs and safety. 7. Documentation & Reporting: Maintain daily production reports (DPR), rejection data, and tool consumption. Track material usage, scrap generation, and yield. Support audits with machine records, production logs, and training registers. Skills Required: Strong knowledge of fabrication and press operations. Familiarity with CNC programming basics (for laser/plasma). Ability to read engineering drawings and use measuring tools. Leadership, discipline, and problem-solving attitude. Mail Id: personnel@knitvelneedles.com Phone No: 99429 76468 Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Food provided Health insurance Life insurance Provident Fund Schedule: Day shift Morning shift Rotational shift Supplemental Pay: Overtime pay Performance bonus Yearly bonus Education: Bachelor's (Required) Experience: Production management: 5 years (Required) Location: Hosur, Tamil Nadu (Required) Work Location: In person

Responsibilities specifically for: Shearing Machine Plasma Cutting Machine Laser Cutting Machine Press Shop (63 Ton to 500 Ton – Hydraulic & Power Press) Overall Responsibilities 1. Production Planning & Scheduling Plan daily/weekly/monthly production targets for all machines. Allocate manpower and machines based on priority and capacity. Ensure on-time production and delivery to meet customer requirements. 2. Machine Operations Oversight Supervise operation and performance of shearing, plasma, laser, and press machines. Ensure proper machine settings, tooling, and operation sequences are followed. Minimize machine idle time and improve utilization. 3. Quality Control Ensure production meets dimensional and quality standards. Coordinate with the Quality Department for in-process and final inspections. Implement corrective actions in case of rework or rejection. 4. Manpower Management Manage operators, setters, and helpers. Conduct skill assessments and ensure proper training. Monitor discipline, attendance, and shift handovers. 5. Maintenance Coordination Identify machine breakdowns or abnormalities. Coordinate with maintenance team for preventive and breakdown maintenance. Ensure machine availability and readiness. 6. Process Improvement & Efficiency Implement lean manufacturing, 5S, and Kaizen principles. Reduce scrap, rework, cycle time, and power consumption. Improve throughput and efficiency across all machines. 7. Tooling & Die Management Ensure availability of tools, dies, and consumables. Monitor tool life and coordinate tool regrinding/replacement. Proper storage, labeling, and handling of press tools and cutting nozzles. 8. Production Reporting Maintain production records – output, downtime, rejections, material usage. Submit daily shift reports and production logs to senior management. Use ERP/MIS software for data entry and tracking. Machine-Wise Specific Responsibilities Shearing Machine Ensure correct blade clearance and material alignment. Monitor straightness and edge quality of sheared material. Minimize burrs and wastage. Plasma Cutting Machine Supervise CNC program loading and nesting for optimal sheet usage. Monitor cut quality, dross level, and torch consumables. Maintain gas flow, pressure, and arc consistency. Laser Cutting Machine Oversee laser parameter settings (power, speed, focus). Ensure burr-free, high-precision cutting. Prevent lens/nozzle damage and keep optics clean. Press Shop (63–500 Ton Hydraulic & Power Press) Supervise tool setup, alignment, and safety locking. Monitor stroke speed, tonnage, and press operation. Ensure die protection sensors are functional. Schedule tool trials and first-piece approvals. Compliance & Safety Enforce PPE usage and safe work practices. Conduct regular safety audits and training. Ensure EHS (Environment, Health & Safety) compliance. Mail Id: personnel@knitvelneedles.com Phone No: 99429 76468 Job Type: Full-time Pay: ₹60,000.00 - ₹70,000.00 per month Benefits: Food provided Health insurance Life insurance Paid sick time Provident Fund Schedule: Day shift Morning shift Rotational shift Supplemental Pay: Overtime pay Performance bonus Yearly bonus Ability to commute/relocate: Hosur, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Education: Bachelor's (Required) Experience: Production management: 10 years (Required) Location: Hosur, Tamil Nadu (Required) Work Location: In person

Job Summary We’re seeking a hands-on GenAI & Computer Vision Engineer with 3–5 years of experience delivering production-grade AI solutions. You must be fluent in the core libraries, tools, and cloud services listed below, and able to own end-to-end model development—from research and fine-tuning through deployment, monitoring, and iteration. In this role, you’ll tackle domain-specific challenges like LLM hallucinations, vector search scalability, real-time inference constraints, and concept drift in vision models. Key Responsibilities Generative AI & LLM Engineering Fine-tune and evaluate LLMs (Hugging Face Transformers, Ollama, LLaMA) for specialized tasks Deploy high-throughput inference pipelines using vLLM or Triton Inference Server Design agent-based workflows with LangChain or LangGraph, integrating vector databases (Pinecone, Weaviate) for retrieval-augmented generation Build scalable inference APIs with FastAPI or Flask, managing batching, concurrency, and rate-limiting Computer Vision Development Develop and optimize CV models (YOLOv8, Mask R-CNN, ResNet, EfficientNet, ByteTrack) for detection, segmentation, classification, and tracking Implement real-time pipelines using NVIDIA DeepStream or OpenCV (cv2); optimize with TensorRT or ONNX Runtime for edge and cloud deployments Handle data challenges—augmentation, domain adaptation, semi-supervised learning—and mitigate model drift in production MLOps & Deployment Containerize models and services with Docker; orchestrate with Kubernetes (KServe) or AWS SageMaker Pipelines Implement CI/CD for model/version management (MLflow, DVC), automated testing, and performance monitoring (Prometheus + Grafana) Manage scalability and cost by leveraging cloud autoscaling on AWS (EC2/EKS), GCP (Vertex AI), or Azure ML (AKS) Cross-Functional Collaboration Define SLAs for latency, accuracy, and throughput alongside product and DevOps teams Evangelize best practices in prompt engineering, model governance, data privacy, and interpretability Mentor junior engineers on reproducible research, code reviews, and end-to-end AI delivery Required Qualifications You must be proficient in at least one tool from each category below: LLM Frameworks & Tooling: Hugging Face Transformers, Ollama, vLLM, or LLaMA Agent & Retrieval Tools: LangChain or LangGraph; RAG with Pinecone, Weaviate, or Milvus Inference Serving: Triton Inference Server; FastAPI or Flask Computer Vision Frameworks & Libraries: PyTorch or TensorFlow; OpenCV (cv2) or NVIDIA DeepStream Model Optimization: TensorRT; ONNX Runtime; Torch-TensorRT MLOps & Versioning: Docker and Kubernetes (KServe, SageMaker); MLflow or DVC Monitoring & Observability: Prometheus; Grafana Cloud Platforms: AWS (SageMaker, EC2/EKS) or GCP (Vertex AI, AI Platform) or Azure ML (AKS, ML Studio) Programming Languages: Python (required); C++ or Go (preferred) Additionally Bachelor’s or Master’s in Computer Science, Electrical Engineering, AI/ML, or a related field 3–5 years of professional experience shipping both generative and vision-based AI models in production Strong problem-solving mindset; ability to debug issues like LLM drift, vector index staleness, and model degradation Excellent verbal and written communication skills Typical Domain Challenges You’ll Solve LLM Hallucination & Safety: Implement grounding, filtering, and classifier layers to reduce false or unsafe outputs Vector DB Scaling: Maintain low-latency, high-throughput similarity search as embeddings grow to millions Inference Latency: Balance batch sizing and concurrency to meet real-time SLAs on cloud and edge hardware Concept & Data Drift: Automate drift detection and retraining triggers in vision and language pipelines Multi-Modal Coordination: Seamlessly orchestrate data flow between vision models and LLM agents in complex workflows About Company Hi there! We are Auriga IT. We power businesses across the globe through digital experiences, data and insights. From the apps we design to the platforms we engineer, we're driven by an ambition to create world-class digital solutions and make an impact. Our team has been part of building the solutions for the likes of Zomato, Yes Bank, Tata Motors, Amazon, Snapdeal, Ola, Practo, Vodafone, Meesho, Volkswagen, Droom and many more. We are a group of people who just could not leave our college-life behind and the inception of Auriga was solely based on a desire to keep working together with friends and enjoying the extended college life. Who Has not Dreamt of Working with Friends for a Lifetime Come Join In Our Website - https://aurigait.com/

Assistant Manager EXL/AM/1265152 Digital SolutionsNoida Posted On 26 May 2025 End Date 25 Jun 2025 Required Experience 2 - 4 Years Basic Section Number Of Positions 3 Band B1 Band Name Assistant Manager Cost Code G090637 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type Backfill Max CTC 600000.0000 - 1000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Digital Solutions Organization Digital Solutions LOB Digital Delivery Practice SBU Xtrakto.AI Country India City Noida Center Noida - Centre 59 Skills Skill DATA SCIENCE - AI COMPUTRE VISION NLP Minimum Qualification B.TECH/B.E MCA MSC Certification No data available Job Description Job Responsibilities: Design, develop and implement solutions for a wide range of NLP use cases involving classification, extraction and search on unstructured text data Create and maintain state of the art scalable NLP solutions in Python/ Java/ Scala for multiple business problems. This involves: Choosing most appropriate NLP technique(s) based on business needs and available data Performing data exploration and innovative feature engineering Training and tuning a variety of NLP models / solutions which include regular expressions, traditional NLP models as well as SOTA transformer based models Augmenting models by integrating domain specific ontologies and/or external databases Reporting and Monitoring the solution outcome Work experience with document-oriented databases such as MongoDB Collaborate with ML engineering team to deploy NLP solutions in production - both on premise as well as cloud deployment Interact with clients and internal business teams to perform solution feasibility as well as design and develop solutions Open to working across different domains – Insurance, Healthcare and Financial Services etc. Required Skills: Experience (including graduate school) on training machine learning models, applying and developing text mining and NLP techniques Exposure to OCR and computer vision Experience in extracting content from documents is preferred Experience (including graduate school) with Natural Language Processing techniques is required Hands on experience with Natural Language Processing tools such as Stanford CORE-NLP, NLTK, spaCy, Gensim, Textblob etc. Experience/ Familiarity with document clustering in supervised un un-supervised scenarios Expertise in at least two of the state of the art techniques in NLP like BERT, GPT, XL Net etc. Applied experience of machine learning algorithms using Python Organized, self-motivated, disciplined and detail oriented Production level coding experience in Python is required Ability to read recent ML research papers and adapt those models to solve real-world problems Experience with any deep learning framework, including Tensorflow, Caffe, MxNet, Torch, Theano Experience with optimization on GPUs (a plus) Hands on experience with using cloud technologies on AWS/ Microsoft Azure is preferred Workflow Workflow Type Digital Solution Center

Job Summary We’re seeking a hands-on GenAI & Computer Vision Engineer with 3–5 years of experience delivering production-grade AI solutions. You must be fluent in the core libraries, tools, and cloud services listed below, and able to own end-to-end model development—from research and fine-tuning through deployment, monitoring, and iteration. In this role, you’ll tackle domain-specific challenges like LLM hallucinations, vector search scalability, real-time inference constraints, and concept drift in vision models. Key Responsibilities Generative AI & LLM Engineering Fine-tune and evaluate LLMs (Hugging Face Transformers, Ollama, LLaMA) for specialized tasks Deploy high-throughput inference pipelines using vLLM or Triton Inference Server Design agent-based workflows with LangChain or LangGraph, integrating vector databases (Pinecone, Weaviate) for retrieval-augmented generation Build scalable inference APIs with FastAPI or Flask, managing batching, concurrency, and rate-limiting Computer Vision Development Develop and optimize CV models (YOLOv8, Mask R-CNN, ResNet, EfficientNet, ByteTrack) for detection, segmentation, classification, and tracking Implement real-time pipelines using NVIDIA DeepStream or OpenCV (cv2); optimize with TensorRT or ONNX Runtime for edge and cloud deployments Handle data challenges—augmentation, domain adaptation, semi-supervised learning—and mitigate model drift in production MLOps & Deployment Containerize models and services with Docker; orchestrate with Kubernetes (KServe) or AWS SageMaker Pipelines Implement CI/CD for model/version management (MLflow, DVC), automated testing, and performance monitoring (Prometheus + Grafana) Manage scalability and cost by leveraging cloud autoscaling on AWS (EC2/EKS), GCP (Vertex AI), or Azure ML (AKS) Cross-Functional Collaboration Define SLAs for latency, accuracy, and throughput alongside product and DevOps teams Evangelize best practices in prompt engineering, model governance, data privacy, and interpretability Mentor junior engineers on reproducible research, code reviews, and end-to-end AI delivery Required Qualifications You must be proficient in at least one tool from each category below: LLM Frameworks & Tooling: Hugging Face Transformers, Ollama, vLLM, or LLaMA Agent & Retrieval Tools: LangChain or LangGraph; RAG with Pinecone, Weaviate, or Milvus Inference Serving: Triton Inference Server; FastAPI or Flask Computer Vision Frameworks & Libraries: PyTorch or TensorFlow; OpenCV (cv2) or NVIDIA DeepStream Model Optimization: TensorRT; ONNX Runtime; Torch-TensorRT MLOps & Versioning: Docker and Kubernetes (KServe, SageMaker); MLflow or DVC Monitoring & Observability: Prometheus; Grafana Cloud Platforms: AWS (SageMaker, EC2/EKS) or GCP (Vertex AI, AI Platform) or Azure ML (AKS, ML Studio) Programming Languages: Python (required); C++ or Go (preferred) Additionally: Bachelor’s or Master’s in Computer Science, Electrical Engineering, AI/ML, or a related field 3–5 years of professional experience shipping both generative and vision-based AI models in production Strong problem-solving mindset; ability to debug issues like LLM drift, vector index staleness, and model degradation Excellent verbal and written communication skills Typical Domain Challenges You’ll Solve LLM Hallucination & Safety: Implement grounding, filtering, and classifier layers to reduce false or unsafe outputs Vector DB Scaling: Maintain low-latency, high-throughput similarity search as embeddings grow to millions Inference Latency: Balance batch sizing and concurrency to meet real-time SLAs on cloud and edge hardware Concept & Data Drift: Automate drift detection and retraining triggers in vision and language pipelines Multi-Modal Coordination: Seamlessly orchestrate data flow between vision models and LLM agents in complex workflows About Company Hi there! We are Auriga IT. We power businesses across the globe through digital experiences, data and insights. From the apps we design to the platforms we engineer, we're driven by an ambition to create world-class digital solutions and make an impact. Our team has been part of building the solutions for the likes of Zomato, Yes Bank, Tata Motors, Amazon, Snapdeal, Ola, Practo, Vodafone, Meesho, Volkswagen, Droom and many more. We are a group of people who just could not leave our college-life behind and the inception of Auriga was solely based on a desire to keep working together with friends and enjoying the extended college life. Who Has not Dreamt of Working with Friends for a Lifetime Come Join In https://www.aurigait.com/ -https://aurigait.com/https://aurigait.com

Location: Bengaluru Experience: 2 - 4 yrs Technologies / Skills : Python, machine learning, NumPy, Pandas, Scikit-Learn, PySpark, TensorFlow or PyTorch, About the Role We are looking for an enthusiastic Data Scientist to join our team based in Bangalore. You will be pivotal in developing, deploying, and optimizing recommendation models that significantly enhance user experience and engagement. Your work will directly influence how customers interact with products, driving personalization and conversion. Responsibilities Model Development: Design, build, and fine-tune machine learning models focused on personalized recommendations to boost user engagement and retention. Data Analysis: Perform comprehensive analysis of user behavior, interactions, and purchasing patterns to generate actionable insights. Algorithm Optimization: Continuously improve recommendation algorithms by experimenting with new techniques and leveraging state-of-the-art methodologies. Deployment & Monitoring: Deploy machine learning models into production environments, and develop tools for continuous performance monitoring and optimization. Education level : Bachelor’s degree (B.E. / B. Tech) in Computer Science or equivalent from a reputed institute. Technical Expertise Strong foundation in Statistics, Probability, and core Machine Learning concepts. Hands-on experience developing recommendation algorithms, including collaborative filtering, content-based filtering, matrix factorization, or deep learning approaches. Proficiency in Python and associated libraries (NumPy, Pandas, Scikit-Learn, PySpark). Experience with TensorFlow or PyTorch frameworks and familiarity with recommendation system libraries (e.g., torch-rec). Solid understanding of Big Data technologies and tools (Hadoop, Spark, SQL). Familiarity with the full Data Science lifecycle from data collection and preprocessing to model deployment. About Oneture Technologies Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities. Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. Oneture team delivers full lifecycle solutions—from ideation, project inception, planning through deployment to ongoing support and maintenance. Our core competencies and technical expertise includes Cloud powered: Product Engineering, Big Data and AI ML. Our deep commitment to value creation for our clients and partners and “Startups-like agility with Enterprises-like maturity” philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for them.

Total Years of experience : 9 Years Relevant 8 years is a must Location- TVM/Kochi – Hybrid weekly 3 days (Chennai and Bangalore candidates must work from office during the Initial months ) NP- Immediate to 30 Days Salary- Maximum 45 LPA Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. ▪ Work closely with application team to deliver AI/ML solutions as microservices Job Specification / Skills and Competencies ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 4 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns

Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. ▪ Work closely with application team to deliver AI/ML solutions as modular offerings. Skills/Specification ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 6 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:- Regression , Time Series Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. NLP, Text Mining LLM (GPTs) -OpenAI , Azure OpenAI, AWS Bed rock, Gemini, Llama, Deepseek etc (knowledge on fine tuning /custom training GPTs would be an add-on advantage). Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks - TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in Python ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns

Position : AI Architect -PERMANENT Only Experience : 9+ years (Relevant 8 years is a must) Budget : Up to ₹40–45 LPA Notice Period : Immediate to 45 days Key Skills : Python, Data Science (AI/ML), SQL Location - TVM/Kochi/remote Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. ▪ Work closely with application team to deliver AI/ML solutions as microservices Job Specification / Skills and Competencies ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 6 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns