1889 Image Processing Jobs - Page 31

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience. 10 years of work experience in RTL design. Experience with ASIC design methodologies for clock domain checks and reset checks. Experience in RTL coding using System Verilog/Verilog. Preferred qualifications: Master's degree or PhD in Electrical Engineering or Computer Science. Experience in area, power and performance design optimization. Experience implementing Machine Learning Accelerators, Camera ISP image processing IP, or other multimedia IPs such as Display or Video Codec. Experience in scripting languages, C/C++ programming and software design skills. About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities Provide microarchitecture definition for Core IP hardware designs and subsystem/ASIC top-level integration. Define and develop Register-Transfer Level (RTL) implementations that meet engaged power, performance and area goals. Perform RTL coding, function/performance simulation debug and Lint/CDC/FV/UPF checks. Participate in synthesis, timing/power closure, and FPGA/silicon bring-up. Participate in test plan and coverage analysis of the sub-system and chip-level verification. Create tools/scripts to automate tasks and track progress. Work with multi-disciplined and multi-site teams in RTL design, verification, or architecture/micro-architecture planning.

Job Title Software Technologist I Job Description But it s not just what we do, it s who we are. We are 80,000, wonderfully unique individuals, with two things in common. An unwavering sense of purpose and a relentless determination to deliver on our customers needs. It s what inspires us to create meaningful solutions - the kind that make a real difference - when it matters most. In this role, you have the opportunity to make life better Looking at the challenges the world is facing today Philips purpose has never been more relevant. So whatever your role, if you share our passion for helping others, you ll be working towards creating a better and fairer future for all. You are responsible for Understand E2E solution, deployment and integration scenarios and participate in design decisions. Challenges the status quo in terms of requirements and design Analyze and incorporate functional and non-functional requirements Translate customer and software requirements to design and implement complete solutions Actively participates in sprint planning, daily stand-up meetings, sprint reviews, sprint retrospectives and backlog refinement Contributes to continuous improvement of the team, software and processes Identify and resolve technical risks through quick prototypes and agile methodologies / tools Provides technical solutions that conform to requirements with a strong focus on end-users, high quality (QMS/regulatory standards), performance, safety and security Understand the clinical needs from a user perspective (in the context of how the application is being used) Guide/mentor junior team members in the implementation of the solutions Proactively contribute to quality improvement initiatives through continuous integration, code quality, adoption of best agile practices Keeps abreast of technical knowledge by studying and implementing state-of-the-art programming techniques and development tools, participating in communities of practice, reading professional publications and maintaining personal networks To succeed in this role, you ll need a customer-first attitude and the following B.E/B. Tech/MCA with 5+ yrs of product development Strong hands on experience in C++ Deep understanding of OOPS, OOAD concepts, Design patterns Knowledge of basic healthcare standards and protocols (e.g. DICOM, HL7) is preferred Having work experience in Image Processing is preferred Hands on SQL experience is a plus Hands on in Python and REST web services is a plus Experience in Test Driven Development is a plus Personal Traits: Analytical, creative and abstract thinker, capable of finding appropriate solutions to complex problems Quality-conscious mind-set Can-do and continuous improvement attitude S tructured problem solving skills Flexible to take additional responsibilities Should be a good team player Excellent interpersonal and communication skills with an ability to work across diverse teams In return, we offer you Our benefits are very competitive and designed to your preferences! We welcome you to a challenging, innovative environment with extraordinary opportunities for you to explore. A competitive salary package A variable bonus based on both Philips results and personal performance An extensive set of tools to drive your career, including a personal development budget, free training and mentoring The possibility to buy Philips shares A healthy work-life balance How we work at Philips Our newly-adopted hybrid work concept fuses flexibility with collaboration to deliver great outcomes for our people and our customers. We are embracing an approach wherein we spend more time together than apart - which for full-time employees translates to an average of at least 3 days working from the office and up to 2 days from home - for our hybrid roles. Hybrid work flexibility means people can meet the changing demands of work and home in the most balanced, productive, and healthy way. Our hybrid working model is defined in 3 ways: We believe in the importance of impactful collaboration: Theres a certain energy when everyone s in the same room that can heighten idea generation and creative friction needed for problem-solving. We embrace flexibility: Choosing where, when and how to work can vary according to task and team schedules. Flexibility isn t office or online, it means choosing the space that works best for you, your teams and our customers on a case-by-case basis. We want to be at our best: The way we work and our workspaces are designed to support our well-being, offer career advancement opportunities, and enable us to be at our best. Why should you join Philips?

Job Title Data Scientist - Computer Vision Job Description We are seeking an experienced Data Scientist specializing in AI for Computer Vision to join our dynamic team. Your primary responsibilities will include developing, fine-tuning, and optimizing AI models for computer vision applications, driving innovation in various healthcare applications. You will work closely with cross-functional teams, including machine learning engineers, software developers, and product managers, to deliver state-of-the-art AI solutions. Your role: Explore and develop innovative Artificial Intelligence (AI) algorithms for healthcare applications Create and refine AI algorithms for pre- and post-processing of images and videos, focusing on data from various imaging modalities Develop and implement machine learning and deep learning techniques for segmentation, classification, and statistical modeling. Demonstrate expertise in image processing, object detection, segmentation, and classification. Proficient in Python programming Possess a strong understanding of algorithms and frameworks such as TensorFlow, PyTorch, and Keras Experienced with version control systems (e.g., Git) and software development practices Develop and Optimize Computer Vision Models: Design, train, and fine-tune DL models for real-world applications Data Preparation & Engineering: Gather, clean, and preprocess large-scale image and video datasets for training and evaluation of computer vision models Experimentation & Model Evaluation: Conduct A/B testing and assess model performance using quantitative metrics (e.g., IoU, mAP, precision, recall) Research & Innovation: Stay updated with the latest advancements in computer vision, deep learning, and related technologies Deployment & Scaling: Work with ML engineers to deploy models into production environments using cloud platforms (AWS, Azure) and frameworks like TensorFlow, PyTorch, and OpenCV Collaboration & Communication: Work closely with cross-functional teams to integrate computer vision solutions into business processes and applications. Youre the right fit if: Bachelor s or master s Degree: In computer science, AI, Data Science, Machine Learning, or a related field Experience: 3+ years in machine learning, deep learning, or AI research, with at least 1 year of hands-on experience in developing computer vision-based AI applications Programming Proficiency: Strong proficiency in Python and ML frameworks like TensorFlow and PyTorch Domain Knowledge: Knowledge of computer vision, natural language processing (NLP), or multimodal AI applications Technical Skills: Familiarity with computer vision techniques and fine-tuning of models Problem-Solving Skills: Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment MLOps Tools: Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes) Ethical AI: Understanding of ethical AI and bias mitigation in computer vision models. Publications and Contributions: Strong publication record or contributions to open-source AI projects. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. If you re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here . #LI-EU #LI-Hybrid #LI-PHILIN

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create? The Role: As a Senior RTL Design Engineer, you will be part of an advanced architecture team that is exploring new hardware designs to improve our devices. In this role, you will be responsible for defining the micro-architecture and implementing the corresponding RTL for advanced functional blocks. You will participate in the design verification and bring-up of such blocks by writing relevant assertions, debugging code, test benches, test harnesses, and otherwise interacting with the extended team. You will participate in the lab bring-up of these blocks either in an FPGA or silicon by potentially writing test scripts, analyzing lab data, proposing experiments, etc. You will work closely with multi-disciplinary groups including Product Design, Audio Technology, Computer Vision, Hardware Engineering, and Software Engineering, to architect and implement complex functional block that enable development of world-class hardware devices. In this role, you will: Design world class hardware and software Communicate and work with team members across multiple disciplines Develop detailed design specifications and documentation Perform RTL coding and synthesis Work with Partners/Supplier to optimize and customize their products Run industry standard code quality tools and fix issues found by them Participate in test plan and coverage reviews The ideal candidate should have experience with RTL development environments, fluency in modern hardware description languages. They should have developed complex IP blocks from scratch that have successfully been integrated in SOCs or other such silicon that have been productized in consumer devices. They should be familiar with modern SoC architectures, various interconnect topologies such as AMBA AXI, APB, AHB, and implementations. Experience with I/O interfaces such as SPI, I2C, I2S, PDM, and MIPI CSI/DSI/Slimbus/Soundwire is preferred. Experience with memory instantiation and memory compilers is also preferred. We are looking for a self-driven individual who can work with architects, HW and SW developers and can quickly resolve blocking issues. If you have the required skills and experience, we encourage you to apply for this exciting opportunity to join our growing hardware design team. Masters degree in Electrical/Computer Engineering or related field 7+ years of RTL development experience with a record of taping out production silicon Experience with design development using Verilog/SystemVerilog Experience in defining micro-architecture from architecture guideline and model analysis. Experience in performance/power/area analysis and trade-offs Proficient in design methodologies and EDA tools Experience working with Synthesis, timing closure, and design constraints Excellent problem-solving and debugging skills Ability to work collaboratively in a team environment and communicate technical ideas effectively PhD in Computer Science, Electrical Engineering, or related field Experience with design of video/graphics pipeline and image processing algorithms Familiarity with display panel and display driver IC technologies Experience with ARM and various DSP ISA Experience debugging system-level issues Experience in entire design flow from architecture to final silicon. Good programming skills in C/C++ and scripting skills in Python, Tcl, and/or Perl 10 years or more of practical experience Experience with wide variety of low power design techniques Working experience with high performance industry standard buses like AMBA AXI4 Experience in integrating third party IP blocks, building top level modules, defining clock domains and power domains Large breadth of knowledge from architecture through physical design Knowledge of FPGA and emulation platforms Knowledge of SoC architecture Excellent verbal and written communication skills

This is an opportunity to play a key role in Dolbys new R&D Center in Bangalore as a Senior Research Manager in our Advanced Technology Group " ATG ", the research and technology arm of Dolby Labs. With multiple competencies that innovate on technologies in audio, video, AR/VR, gaming, music, broadcast and user-generated content, areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, social network analysis, and computer graphics are highly relevant to our research. What you ll do As a Senior Manager within Dolby ATG research, you focus on three key areas of responsibility: State-of the art, cutting edge, hands-on research: As a researcher, you will invent and develop the next generation of AI driven image and video analysis, enhancement, and processing technologies. Jointly with Dolby s world-class global research teams, you will set directions, identify projects, and build the next wave of image technologies driving Dolby s cloud and licensing business. With a solid understanding of both traditional image processing and newer AI technologies, you will not only perform research using signal processing based only solutions, but you will also work at the intersection of classical image processing and new AI algorithms. You will apply these insights to the research of image delivery, analysis, and content creation technologies. Managing, nurturing, and grooming top research talent: As a senior leader, you will manage and mentor a small group of researchers working in image processing, computer graphics, computer science, and content enhancement. You will work with your team as a coach and mentor. You are passionate about developing junior, highly talented staff into researchers that work fully independently in a corporate environment. Contribute to developing a dynamic, flexible, transparent, results-oriented and innovative working atmosphere. Technology strategy and direction setting: Jointly with Dolby s world-class global research teams, you will set directions, identify projects, and build the next wave of AI based technologies driving Dolby s cloud and licensing business. You work with ATG technology leaders to co-define projects and assign your staff to global R&D initiatives led by other technology initiative leads. Work jointly with upper management, lead resource and work allocation. You will also work with Dolby s Business Groups (BG) to bring the research to life in many products, working closely with product managers, program managers, and BG engineering teams worldwide. Education and desired experience Ph.D. plus 5-10 years of corporate research experience with a degree in Physics, Electrical Engineering, Mathematics, Computer Science. Very deep understanding and strong record of research in Computer Vision, image analysis, enhancement, compression, and processing technologies . You are an absolute top expert in AI with a deep and thorough theoretical understanding of the latest state-of the art AI technologies. You have a detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures. Knowledge of NLP and/or multi-modal architectures is highly desired. You have a good understanding of: Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Knowledge of Game environments, graphical processing, consumer products, SoC architectures, embedded software, GPU/CPU implementations, algorithm validation and testing, implementation of ML/AI algorithms. Demonstrated ability to create fundamentally new, novel (patentable) image processing, enhancement, and rendering technologies. Strong publication record in major image/video/AI conferences and journals (e.g. NeurIPS, ICLR, ICML, etc.). Strong track of inventing, developing and productizing video technologies in an industrial research environment. Ability to envision applications of new technologies in the form of innovative product solutions. Strong innovator. Highly skilled in C/C++, Python. Experience in managing, guiding and mentoring younger researchers . Team-oriented work ethic and interest to work in cross-continental teams. Strong personal interest in learning, researching, and creating relevant new technologies with high commercial impact. Excellent communication, collaboration, and presentation skills in English. All official communication regarding employment opportunities at Dolby will come from an official dolby.com email address. We will never request payment as part of the hiring process. If you receive a suspicious message, please verify its authenticity before responding

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Job Overview:As a Lead Computer Vision Engineer, you will lead the development and deployment of cutting-edge computer vision models and solutions for a variety of applications including image classification, object detection, segmentation, and more. You will work closely with cross-functional teams to implement advanced computer vision algorithms, ensure the integration of AI solutions into products, and help guide the research and innovation of next-generation visual AI technologies.2.Technical Skills: Deep Learning FrameworksProficiency in TensorFlow, PyTorch, or other deep learning libraries. Computer Vision ToolsExpertise in OpenCV, Dlib, and other image processing libraries. Model DeploymentExperience deploying models to production using platforms such as AWS, Google Cloud, or NVIDIA Jetson (for edge devices). AlgorithmsStrong understanding of core computer vision techniques like image classification, object detection (YOLO, Faster R-CNN), image segmentation (U-Net), and feature extraction. Programming LanguagesProficient in Python, C++, and other relevant programming languages for computer vision tasks. Data HandlingExperience working with large datasets, data augmentation, and preprocessing techniques. OptimizationSkills in model optimization techniques such as pruning, quantization, and hardware acceleration (e.g., using GPUs or TPUs). Additional Responsibilities: trong working experience in Agile environment - Experience working and understanding of ETL / ELT, Data load process - Knowledge on Cloud Infrastructure and data source integrations - Knowledge on relational Databases - Self-motivated, be able to work independently as well as being a team player - Excellent analytical and problem-solving skills - Ability to handle and respond to multiple stakeholders and queries - Ability to prioritize tasks and update key stakeholders - Strong client service focus and willingness to respond to queries and provide deliverables within prompt timeframes. Technical and Professional : Technology-Artificial Intelligence-Computer Vision Preferred Skills: Technology-Artificial Intelligence-Computer Vision

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Excellent Design verification domain expertise. Develop test strategy, TB architecture and test plan for new IP’s/new features Develop strategies for re-useable, scalable and enhance Sub system level verification environment Excellent C/System Verilog/Verilog skills to handle C based TB environment Strong skills in debug, post silicon debug-failure re-creation and root cause analysis Scripting proficiency - PERL, Python, for developing applicable automation AMBA, AXI bus protocols Power intent verification, GLS etc. Capable of communicating effectively with all stakeholders across the globe Capable of seeding a new team for new IPs, able to hire and expand the team in expertise and efficiency Capable of mentoring the team members for their career growth, maintaining diversity in the team, collaborating with other leads and managing multiple parallel projects Take initiatives to enable various ideas for improving efficiencies. Good to have: Image Processing, DSI/DP/HDMI Protocols Good knowledge of new methodologies, flows and tools to be incorporated. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.

We are looking for a talented and driven Generative AI Engineer with 3 years of experience to join our AI team. You will work on designing, developing, and optimizing cutting-edge generative models for a variety of applications, including text, images, and audio Proficiency in Python and relevant ML/AI libraries (TensorFlow, PyTorch, Hugging Face, etc.),GANs, VAEs, Transformers, and Diffusion Models,NLP,computer vision, or audio synthesis,AWS, GCP, Azure,MLOps Develop and optimize generative models (e.g., GANs, VAEs, Diffusion Models, Transformer Models) for various use cases. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Total experience : 11+ years. Strong working experience in Machine Learning, with strong focus on NLP and AI-driven solutions. Expert in Python , with deep knowledge of TensorFlow, PyTorch, or JAX. Strong grasp of NLP techniques including tokenization, word embeddings, attention, transformers, etc. Hands-on experience with Generative AI (GANs, VAEs, RAG) and Prompt Engineering. Solid background in Computer Vision and image processing tools like OpenCV. Experience deploying ML models to production and monitoring them in real-world environments. Familiarity with vector databases (e.g., FAISS, Pinecone) and semantic search techniques. Proven leadership in data science team managemen t , mentoring, and strategic delivery. Strong knowledge of MLOps, DevOps, and scalable architecture patterns. Excellent problem-solving, communication, and analytical skills. RESPONSIBILITIES: Understanding functional requirements thoroughly and analyzing the client s needs in the context of the project Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it Determining and implementing design methodologies and tool sets Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement Giving constructive feedback to the team members and setting clear expectations. Bachelor s or master s degree in computer science, Information Technology, or a related field.

We are looking for a Machine Learning Engineer to help us create advance image processing and artificial intelligence products. Design, Develop , Research and implement appropriate ML algorithms and tools, Run tests

Dear Candidates, We have an Urgent Opening for Computer Operator (Image Processing) for fresher's at Marol Naka, Andheri East. If interested please share your updated biodata/resume on recruitment.hr@prodocssolution.com Freshers are Most Welcome!!! This Job is Work From Office!!! Please find the Job Description & shift timing for your reference. Basic Typing speed 15 wpm To 30 wpm Basic Computer Knowledge - Copy Paste/Create Folder/Note Pad/ C drive & D drive etc. Age Criteria:- 18 to 45 Years Qualification :- 12th passed or above Shift Timings:- 01st Shift Timing:- 07.00AM to 03.00PM (Female) 02nd Shift Timing: - 03.00 PM to 10.30 PM (Female) 02nd Shift Timing: - 03.00 PM to 11.00 PM (Male) 03rd Shift Timing:- 11.00 PM to 07.00 AM (Only for Male Candidates) If Any Friends/ Colleagues/sub-ordinates are Looking for an Job Opportunity Kindly Forward This Message!!! Candidate's can come directly for the face to face round of interview on the below mentioned address. Interview & Job Location Address:- Prodocs Solutions Ltd; 6/19,1st Floor, Transmission House,Compound No. 82, Near Marol Bhavan,Marol Naka, Andheri East, Mumbai, 400059. Interview Timing :- 09.30 AM to 06.00 PM (Monday to Saturday) Thanks & Regards, Prodocs Solutions Ltd Apeksha Panchal Sr HR Executive 8655915010

We are looking for a highly skilled and experienced Generative AI Engineer to join our team at Assemblage Entertainment, with 3-8 years of experience in the field. Roles and Responsibility Design and develop generative AI models for various applications. Collaborate with cross-functional teams to integrate AI models into existing systems. Develop and implement data augmentation techniques to enhance model performance. Conduct research on new AI technologies and trends to stay updated. Optimize model performance using hyperparameter tuning and other techniques. Work closely with the development team to ensure seamless integration of AI models. Job Requirements Strong understanding of deep learning concepts, particularly in generative adversarial networks (GANs) and variational autoencoders (VAEs). Experience with programming languages such as Python, Java, or C++ is required. Familiarity with cloud platforms like AWS or Google Cloud for deploying AI models. Knowledge of agile development methodologies and version control systems like Git. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

We are seeking a skilled Python Developer with 2-3 years of experience to join our dynamic team. The ideal candidate should be proficient in OCR, image processing, and cloud-based architecture, with hands-on experience in GCP and Kubernetes.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled Generative AI Engineer to build and deploy agentic systems leveraging LLMs and autonomous task execution. The role involves developing intelligent AI agents that perform reasoning, planning, and goal-directed behaviors. Roles & ResponsibilitiesDesign and develop intelligent AI agents using LLM frameworks such as LangChain, AutoGen, or AWS Agent Squad. Fine-tune and deploy large language models (LLMs) for task-specific applications Integrate tools, APIs, and external systems into agent workflows for enhanced functionality Implement context handling, memory modules, and retrieval-augmented generation (RAG) pipelines Develop robust backend systems for real-time agent inference and data processing Monitor, evaluate, and iteratively improve agent behavior, output quality, and latency Collaborate with cross-functional teams to translate business needs into AI capabilitiesRequired Skills and Qualifications:Proficiency in Python with experience in ML/AI libraries such as PyTorch or TensorFlow Hands-on experience with LLMs (GPT, Claude), prompt engineering, and embeddings Familiarity with vector databases (e.g., Weaviate, Pinecone) and RAG pipelines Experience in using LangChain, AutoGen, or similar agentic frameworks Exposure to Docker, REST APIs, and cloud platforms (AWS) Professional & Technical Skills: - Strong analytical and problem-solving skills- Ability to work independently in fast-paced, research-oriented environments- 4-8 years in AI/ML or software engineering, with 12 years working directly on GenAI or autonomous agents Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- Bachelors or masters degree in computer science, Artificial Intelligence, or a related field- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to develop and deploy AI models in production environments. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying innovative approaches to solve complex problems and enhance system capabilities. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Evaluate and recommend new tools and technologies to improve team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to develop and deploy AI models in production environments. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment pipelines.- Familiarity with programming languages such as Python or R.- Ability to work with data visualization tools to present insights effectively. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data & AI Strategy Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiencies. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Lead the AI delivery and responsible for successful value delivery. Roles & Responsibilities:- AI/Gen AI Architecture patterns, Agentic Delivery Lifecycle, Method 1- AI/Agentic AI, Accentures solutioning process, Agile Delivery- AI & Gen AI architecture competency (RAG, agent orchestration, model serving patterns)- Experience in data management, data architecture- Decent engineering background and should have executed Data & AI programs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy- Strong understanding of Enterprise Data Strategy and aligning data initiatives with digital transformation goals- Hands-on expertise in Data Mesh or Data Fabric architecture and managing Data-as-a-Product across decentralized domains- Familiarity with Generative AI and Agentic Systems, and preparing data pipelines that support AI/ML use cases (e.g., RAG, fine-tuning, prompt engineering)- Strong knowledge of Semantic Layers- Understanding of Data Privacy, Confidentiality- Demonstrated experience in designing Enterprise Data Architectures, including lakehouse, warehouse, and federated models- Capability to define, build, and manage scalable Data Products aligned with business value and user needs- Experience in orchestrating Data Delivery & Consumption models, enabling self-service analytics and reusable data assets across business units- Experience leading large scale software programs with delivery accountability- Agile / Scrum for iterative value delivery and release planning- Strong stakeholder & client management- Experience running multi disciplinary teams (engineering, DevOps, QA) across geographies- Budget & KPI ownership:tracking value realization, burn up charts, and delivery metrics- Experience working with industry-specific data models (e.g., in Life Sciences, Financial Services, or Manufacturing)- Experiene on design and implementation of Enterprise Knowledge Graphs- Understanding of Zero Trust architectures and confidential computing techniques for secure data access.- Familiarity with solutioning / proposal processes (estimates, SOWs, win-themes)- Expertise scaling programs on Azure, AWS, or GCP and managing GPU/PTU capacity- Experience working on NLP/ML/AI program Additional Information:- The candidate should have minimum 18 years of experience in Data & AI Strategy.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : R-Studio Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems, driving advancements in technology and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in R-Studio.- Good To Have Skills: Experience with Python and TensorFlow.- Strong understanding of machine learning algorithms and their applications.- Experience in deploying AI models in cloud environments.- Familiarity with data preprocessing and feature engineering techniques. Additional Information:- The candidate should have minimum 7.5 years of experience in R-Studio.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science, SQL, wcf Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Data Scientist with 5 to 7 years of experience, and at least 3+ years of genuine experience in building production-grade ML models (Regression, Forecasting, Classification etc.) and getting them deployed in production rather than just proof of concept or learning projects. Roles & Responsibilities:- At least 3+ years of relevant experience in data science, specifically in building and deploying production models (Regression, Forecasting, Classification etc.)) rather than just proof of concept or learning projects - Experience in building or training machine learning models to a production environment that are actively used by end-users or systems - Experience in maintaining or monitoring machine learning models in production for more than six months - Experience in working on projects where they had to retrain or redeploy models based on new data in a production setting - Experience in using version control systems (e.g., Git) for managing your data science projects in production - Experience in collaborating with DevOps or MLOps teams to deploy and scale machine learning models in production- Strong programming skills, particularly in Python - Experience in written Python codes (Data Science) that is currently running in a production environment - Experience in using Python for data manipulation, analysis and feature engineering in a production setting - Experience in working on end-to-end Data Science pipelines - Experience in creating environments for different libraries in production for different versions - Experience in optimizing Python code for performance in a production system- Ability to work in Agile environment and using tools like Git, Jira, Confluence etc- Experience of working in Azure ML Professional & Technical Skills: - Must To Have Skills: Data Science, Azure ML, Python Additional Information:- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are hiring an AI/ML Engineer with deep knowledge of Small Language Models (SLMs) to develop lightweight, efficient models optimized for real-time applications, including edge deployment and low-latency scenarios. Roles & ResponsibilitiesDesigning the architecture of Small Language Models (SLMs), selecting suitable model types (e.g., transformer-based), and define training datasets and evaluation benchmarks. Collecting, cleaning, and preprocessing data to ensure high-quality, task-relevant inputs for model training. Training and fine-tuning SLMs using optimized procedures to enhance task performance while adhering to resource constraints. Deploying SLMs into production systems, ensuring seamless integration and reliable real-time operation within target applications. Continuously monitor model performance, identifying optimization opportunities, and implementing updates to maintain accuracy and efficiency. Ensuring all stages of model development comply with data privacy, fairness, and security guidelines. Staying abreast of advancements in SLM research and tooling, experimenting with emerging techniques, and contributing to innovation in the domain. Professional & Technical Skills: Strong background in NLP, deep learning, and model compression Proficient in PyTorch, TensorFlow, Hugging Face Transformers Solid understanding of neural network architectures, including transformers and other relevant models, and experience with training and optimization techniques. Familiarity with CI/CD workflows and cloud platforms (AWS, Azure) Detail-oriented with a strong focus on performance optimization Handle client communication, including articulating the solution to non-technical clients. Team player with good collaboration and communication skills Additional Information:- The candidate should have minimum 7.5 years of experience in AI/ML, with at least 1-2 years working on LLM/SLM development closely- Bachelors or Masters in Computer Science, Machine Learning, or related technical field- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education