63 Model Optimization Jobs

Job Description: You will collaborate directly with the founding team on core AI model development and strategy. You will fine-tune and customize LLMs for specific use cases and performance requirements. Additionally, you will evaluate and benchmark different language models to determine optimal solutions. It will be your responsibility to optimize model performance using LoRA, QLoRA, and other parameter-efficient methods. You will also implement and experiment with RLHF workflows, design and execute training pipelines for custom model development, and research and implement cutting-edge techniques in model optimization and efficiency. Your creativity will be showcased as you create new AI solutions that solve real-world problems at scale and lead technical initiatives while mentoring junior team members as the team grows. Qualifications Required: - Solid experience in AI model development and strategy - Proficiency in fine-tuning and customizing language models for specific use cases - Strong knowledge of evaluating and benchmarking different language models - Familiarity with optimizing model performance using various methods - Experience in implementing RLHF workflows and designing training pipelines - Ability to research and implement cutting-edge techniques in model optimization - Creative problem-solving skills to create new AI solutions at scale - Leadership skills to lead technical initiatives and mentor junior team members About the Company: Icecreamlabs is an AI venture studio that focuses on building AI-first startups to solve complex enterprise problems. As a member of the founding team, you will have the opportunity to work directly with founders on core product decisions and technical strategy, shape the AI architecture from inception to production scale, lead research initiatives, and influence the direction of AI capabilities. You will have access to cutting-edge research and state-of-the-art hardware and computational resources while collaborating with industry experts. Joining this company will provide you with significant equity and growth potential, leadership opportunities as the team expands, and industry recognition through publications and open-source contributions. The office is located in the CBD Bangalore, facilitating maximum collaboration.,

As a Junior to Mid-level AI/ML Engineer at VectorStack, you will play a crucial role in designing, deploying, and optimizing machine learning solutions for diverse business challenges. Here's what you need to know: **Key Responsibilities:** - Develop, implement, and maintain machine learning models, focusing on time series forecasting and predictive analytics. - Build and optimize scalable data pipelines using Apache Kafka and AWS services. - Design, develop, and integrate Flask APIs to serve ML models into production-ready applications. - Collaborate with cross-functional teams to translate business requirements into AI-powered solutions. - Evaluate models, perform hyperparameter tuning, and apply optimization strategies for maximum efficiency. - Deploy, monitor, and maintain ML models in production, addressing data and performance issues proactively. - Document methodologies, experiments, and development processes for consistency and knowledge sharing. - Stay updated with advancements in AI, ML, and cloud technologies, recommending and implementing new approaches where relevant. **Qualifications and Skills:** - Proficiency in time series analysis, including forecasting techniques and handling complex temporal datasets. - Strong experience in predictive modeling to analyze trends and enable data-driven decisions. - Hands-on expertise in deploying and managing ML models on AWS infrastructure and tools. - Practical knowledge of Apache Kafka for real-time data streaming and scalable data pipelines. - Strong programming skills in Python for model development, testing, and deployment. - Experience with Flask API for building and deploying ML model endpoints and RESTful services. - Knowledge of model optimization techniques to improve predictive performance and efficiency. - Strong debugging, troubleshooting, and production maintenance capabilities for AI/ML systems. - Demonstrated teamwork, openness to learning new technologies, and strong written and verbal communication skills. VectorStack is a dynamic leader in the IT Services and Consulting sector, headquartered in Bangalore. With a team of 51200 professionals, VectorStack delivers high-quality solutions, consulting, and support services, driven by innovation and excellence for its clients. Learn more at [VectorStack](https://vectorstack.co).,

As a skilled engineer at SiteRecon, a B2B SaaS platform revolutionizing property measurements for landscapers and snow removal contractors in the $176B US market, you will play a crucial role in evaluating, enhancing, and transforming the computer vision infrastructure. Your expertise will be instrumental in transitioning from traditional CNN architectures to cutting-edge transformer-based models. You will be responsible for model design, training, and optimization to meet the demands of this frontier challenge in computer vision and GIS. You will have access to a vast aerial imagery database with a ground sample distance of 7 cm, covering 500,000+ properties across the U.S. since 2021. Additionally, you will collaborate with a team of 60 annotators mapping thousands of acres daily and have a ready market of 350+ customers for immediate deployment. Leveraging powerful compute resources for rapid model training, you will be at the forefront of solving a constrained problem using the world's highest-resolution aerial imagery to develop scalable templates for automated extraction in GIS applications. Your key responsibilities will include designing and implementing transformer-based architecture for semantic segmentation of aerial imagery, developing efficient image-to-token and token-to-image conversion pipelines, creating and maintaining training datasets, optimizing model training processes for distributed computing environments, implementing efficient inference pipelines for production deployment, and collaborating with the engineering team to integrate new models into the existing infrastructure. To excel in this role, you are expected to have a strong foundation in computer vision and deep learning fundamentals, extensive experience in training transformer models from scratch, expert-level proficiency in PyTorch, experience with ONNX or TensorRT model optimization and deployment, deep understanding of distributed computing and parallel processing, advanced Python knowledge, experience with semantic segmentation tasks, and a proven track record of handling large-scale data processing. This position requires a minimum of 5 years of hands-on deep learning experience, a track record of successfully deploying computer vision models in production, experience with vision transformer architectures, experience optimizing models for production using ONNX/TensorRT, and a background in handling high-resolution satellite/aerial imagery. A Masters/PhD in Computer Science, Machine Learning, or a related field is preferred. Your desired qualities should include a strong mathematical foundation in deep learning concepts, experience with model architecture design and optimization, the ability to conduct independent research and stay updated with the latest developments, excellence in technical documentation and communication, and self-motivation to solve complex technical challenges efficiently. What sets you apart in this role is your experience with vision transformers specifically for segmentation tasks, published research or contributions to open-source computer vision projects, experience with high-performance computing environments, a background in geospatial data processing, hands-on experience with model quantization and optimization using ONNX/TensorRT, and experience deploying optimized models in production environments. Your role is crucial as every day without improved segmentation costs real business opportunities, and we need someone who can think systematically, move fast, and deliver production-ready improvements promptly.,

As a professional services firm affiliated with KPMG International Limited, KPMG entities in India have been serving clients since August 1993. Leveraging the global network of firms, our professionals possess in-depth knowledge of local laws, regulations, markets, and competition. With offices spread across major cities in India including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, we offer a wide range of services to national and international clients across various sectors. We are currently seeking an AI & Computer Vision Engineer with expertise in detecting, segmenting, and classifying, backed by hands-on experience in deep learning. The ideal candidate will be proficient in working on Edge AI, model optimization, and deployment on platforms such as NVIDIA Orin, NXP i.MX8, Qualcomm QCS610, and other embedded systems. They should have a proven track record in building end-to-end AI pipelines utilizing tools like AWS SageMaker, MLFlow, Docker, and ensuring seamless cloud-edge integration. The role also requires a strong background in industrial vision systems, specializing in real-time defect detection, and developing solutions for barcode/inspection using OpenCV & C++. Additionally, experience in developing mobile AI applications using TensorFlow Lite for practical use cases will be beneficial. The candidate will be engaged in working on Proof of Concepts (PoVs) and contributing to Thought Leadership pieces related to industry applications. KPMG in India is an equal opportunity employer, fostering an inclusive work environment where diversity is celebrated and talent is nurtured.,

We are seeking an AI specialist with over 3 years of experience to develop and implement AI solutions, primarily focusing on Java. The ideal candidate will have a strong proficiency in Java-based AI development, while experience in Python is also valued. In this role, you will be responsible for designing intelligent agents and applying cutting-edge machine learning techniques to address complex business challenges. Your main responsibilities will include designing, building, and deploying AI agents using Java to automate decision-making processes. You will utilize frameworks such as LangChain, LlamaIndex, and other advanced AI frameworks, ensuring smooth integration into Java applications. Additionally, you will work hands-on with machine learning toolkits, leveraging Java-based libraries for AI development. It is essential to have a deep understanding of machine learning concepts and apply them to real-world problems using Java. Furthermore, you will focus on ensuring data and application security in the AI pipeline, as well as leading efforts in model selection, training, and optimization within Java-based frameworks. Thorough evaluation and testing of AI models to ensure effectiveness and scalability in Java-based applications are also key responsibilities. Collaboration with Data Engineers to refine training datasets and contribute to AI/ML operations for deploying and managing models in production environments will be essential. Qualifications for this role include a Bachelor's degree in Engineering, along with at least 3 years of experience as an AI Engineer or similar role. You should have proven experience with AI agents, a strong proficiency in Java for AI development, and familiarity with popular AI frameworks. Experience with machine learning toolkits and a solid understanding of model training, fine-tuning, and evaluation processes within a Java-based environment are also required. Skills in MLOps or AI model deployment and management in Java-based environments are considered a plus. Preferred Skills: - Excellent problem-solving abilities with a focus on innovative AI-driven solutions in Java. - Strong programming skills in Java (required) and Python (preferred). - Familiarity with cloud environments and deploying AI/ML solutions on platforms such as AWS, GCP, or Azure.,

As a Python Developer at our company, you will be responsible for developing, deploying, and optimizing Python-based applications for Visual AI tasks such as image classification, object detection, and image generation. Your expertise in Django and Flask, along with your proficiency in Django Rest Framework (DRF), will be crucial in this role. Additionally, you will work with machine learning concepts and tools like PyTorch, TensorFlow, and transformer architectures. Your key responsibilities will include designing and implementing machine learning models using frameworks like TensorFlow, PyTorch, and OpenCV. You will collaborate with cross-functional teams to integrate Visual AI capabilities into applications and conduct exploratory data analysis for AI/ML tasks. Optimizing models for performance, scalability, and accuracy will also be a part of your role. To excel in this position, you must demonstrate a strong proficiency in Python with experience in data science and machine learning. Hands-on experience with frameworks like TensorFlow, PyTorch, OpenCV, and scikit-learn is essential. You should have a good understanding of computer vision techniques, such as object detection, image segmentation, and image generation, and be familiar with Generative AI techniques like GANs, VAEs, diffusion models, and LLaMA. Moreover, experience with data manipulation tools like Pandas, NumPy, and visualization tools like Matplotlib and Seaborn is required. Knowledge of cloud platforms (AWS, GCP, or Azure) and tools like Docker for model deployment will be beneficial. Familiarity with model optimization techniques like transfer learning, fine-tuning, and LoRA is also desirable. In this role, you will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions in the field of Visual AI. Your ability to collaborate with teams, optimize models, and present findings to stakeholders will be key to your success in this dynamic position.,

The project involves the development of an AI-based door control system that utilizes computer vision and deep learning technologies to manage boardings and exits through real-time video analysis. This system aims to detect individuals and objects in doorways, replacing traditional sensors with a single AI-powered solution. The project includes the implementation of deep learning models for people and object recognition, movement analysis, real-time processing, decision-making, and logging. The system must process video data on the edge, requiring models optimized for embedded deployment while ensuring detection accuracy and speed. It should function reliably under varying lighting conditions and handle complex scenarios such as multiple passengers, carried objects, and potential obstructions while adhering to strict safety standards. Task Descriptions: Task 1: Data Analysis and Annotation - Categorize data for analysis - Annotate data for training and validation purposes Task 2: Model Evaluation and Performance Analysis - Conduct comprehensive testing to generate detailed daily performance reports - Analyze and document detection failures and performance issues - Develop recommendations for model improvements based on observed failure patterns Task 3: Model Enhancement and Optimization - Prepare data for model training - Develop and optimize deep learning models Task 4: Extended Vision Capabilities - Enhance the system's vision capabilities for improved performance Required Skillset: - Strong expertise in computer vision and deep learning, particularly with PyTorch / TensorFlow and object detection models - Experience in data annotation, preparation, and validation for computer vision applications - Proficiency in model optimization, testing, and deployment on edge devices - Familiarity with MLOps tools such as AWS Sage Maker, DVC, and version control systems Input: - Existing labeled dataset from current deployments - New video data from existing installations - Current model architecture and weights - System performance requirements and specifications,

About Guidesly: Do you enjoy the Outdoors? Are you an enthusiast who wants to work in a place where you can follow your personal and professional passions? Guidesly is a well-funded startup building software for the Outdoor industry. Mobile apps, SaaS software, product services, and websites; we have a bit of everything. Sophisticated technology and a dream to change the world. If your passion is the outdoors and you want to live your dream, then this is your job. Work with guides, build products, get honest feedback from enthusiasts to create the very best solutions in the marketplace. The outdoor recreation industry includes fishing, wildlife, boating, water sports, snow sports, hunting, ATV, hiking, and biking. We are starting with the fishing vertical in the outdoor recreation industry. The product manager will work with professional guides throughout the United States and enthusiasts in all fishing varieties. Key Responsibilities: Develop and deploy machine learning, deep learning and NLP models for AI applications. Process and analyze large datasets, including feature extraction, vectorization, and embedding-based retrieval. Build and maintain backend systems and APIs to support AI-powered applications. Implement scalable AI solutions in cloud environments, primarily AWS. Develop end-to-end pipelines for model training, testing, and deployment using AWS services such as SageMaker, Bedrock, Lambda, and Step Functions. Optimize AI models for efficiency, scalability, and low-latency inference. Implement MLOps best practices for continuous integration, deployment, and monitoring of AI models. Document system architecture, API specifications, and performance benchmarks. Stay up to date with advancements in AI, including LLMs, FAISS, and deep learning frameworks, to drive innovation. Required Skills & Qualifications: Hands-on experience in AI/ML development, with expertise in natural language processing (NLP) and/or computer vision. Proficiency in Python, SQL, and machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn. Strong understanding of LLM architectures, embeddings, and transformer-based models. Hands-on experience processing large datasets, including feature engineering, embedding retrieval, and vectorization. Experience with Cloud Services (Preferably AWS) for model deployment, data processing, and cloud-based AI solutions. Strong grasp of MLOps principles, including CI/CD pipelines, model monitoring, and workflow automation. Strong analytical and problem-solving skills with a proactive approach to AI model optimization. Excellent communication and teamwork skills to collaborate effectively with engineers, data scientists, and stakeholders. Key Technologies & Tools: Languages & Frameworks: Python, SQL, TensorFlow, PyTorch, Hugging Face Data Processing & Feature Engineering: Vectorization, Embeddings, FAISS Cloud & AI Services: AWS SageMakerAI, Bedrock, Lambda, Step Functions, Inference MLOps & Model Deployment: CI/CD, Model Optimization, API Integration Workflow Automation & AI Infrastructure Key skills: Machine Learning, Deep Learning, Python, SQL, TensorFlow, PyTorch, Hugging Face, AWS SageMakerAI, Lambda, Model Optimization, API Integration, AI Infrastructure

Role & responsibilities Job Title / Designation : Practice Lead AI/ML Business Unit : Embedded Engineering Services (EES) Industry Experience Range : 8+ years Job Location : Preferably Pune or Bangalore, Ahmedabad Shift : General Shift (Mon-Fri) Job Function, Roles & Responsibilities: Lead strategic initiatives and own the practice for Edge AI/ML, data pipelines, and intelligent embedded systems Define and build the competency roadmap for machine learning, deep learning, model deployment, and real-time inferencing on edge platforms Oversee data creation including data collection, dataset curation, annotation, cleaning, augmentation, and synthetic data generation Champion use cases involving sensor fusion, combining data from multiple sources (vision, IMU, radar, audio, etc.) to create robust, efficient, and context-aware edge intelligence solutions Drive edge analytics and on-device learning across verticals such as Industrial Automation, Medical Devices, Automotive, and Smart Consumer Electronics Collaborate with global customers to gather requirements, architect solutions, track project delivery, and ensure alignment with business objectives Support business development with presales solutioning, proposal writing, and effort estimation Drive internal capability building through mentoring, training, and competency development ________________________________________ Preferred candidate profile: 8+ years in embedded systems, AI/ML, and data engineering, with a strong focus on edge intelligence and real-time systems. At least 3 years in a technical leadership or strategic role. Prior experience in a product engineering services environment preferred. ________________________________________ Area of Expertise: Proven expertise in deploying ML/DL models on edge devices (NVIDIA Jetson, NXP i.MX, Qualcomm QCS, TI Sitara, etc.) Strong knowledge of data workflows: dataset generation, manual/automated annotation, data cleaning, augmentation, and synthetic data creation Deep understanding of sensor fusion techniques combining inputs from vision, audio, IMU, radar, LIDAR, and other sources to improve model accuracy and efficiency Experience in model optimization using TensorRT, ONNX, OpenVINO, TFLite, and TVM Hands-on with TensorFlow, PyTorch, scikit-learn, and signal/image processing techniques Proficient in designing for real-time inference on resource-constrained platforms Exposure to AI accelerators, NPUs, DSPs, and hybrid SoC environments; must have exposure to NVIDIA SoC & Tools Presales, account engagement, and solutioning experience with North American or European clients Please share resume at anup.s@acldigital.com, candidate can directly call on cell number 99099-75421 for more details.

We are seeking a highly skilled Machine Learning Engineer or AI Model Developer with a minimum of 5 years of practical experience in constructing, training, and implementing customized AI models. The perfect candidate will possess hands-on expertise in developing and refining machine learning models rather than merely incorporating pre-existing models through APIs. You should exhibit natural abilities such as being smart, self-motivated, responsible, and an out-of-the-box thinker. Additionally, you should be detail-oriented, a powerful analyzer, and possess excellent written communication skills. Requirements: - Minimum of 5 years of practical experience in creating custom machine learning models, not just utilizing APIs or pre-built models. - Proficiency in machine learning frameworks like TensorFlow, PyTorch, Keras, or similar. - Strong programming skills in Python, including experience with libraries such as NumPy, pandas, scikit-learn, and others. - Experience in training and fine-tuning machine learning models using authentic datasets. - Knowledge of machine learning algorithms, model evaluation, and feature engineering. - Hands-on experience in data preprocessing, model optimization, and hyperparameter tuning. - Experience with cloud-based machine learning tools (AWS, GCP, or Azure) is advantageous. Responsibilities: - Design, create, and deploy customized machine learning models tailored to specific business challenges. - Train, optimize, and validate machine learning models using real-world data sets and advanced methodologies. - Collaborate with interdisciplinary teams to comprehend requirements and provide AI-driven solutions. - Establish and manage end-to-end machine learning pipelines from data preprocessing to model deployment. - Continuously enhance the performance, scalability, and reliability of AI models in production settings. - Conduct model evaluations and determine the most efficient models for practical applications. - Ensure thorough documentation of model development processes and outcomes. - Stay updated on industry trends, algorithms, and emerging technologies in the realm of machine learning and AI.,

As a Computer Vision Engineer at our company located in S.G. Highway, Gota, Ahmedabad, you will be responsible for developing, training, and optimizing computer vision models for various applications. This includes tasks such as object detection, segmentation, classification, and image generation. Your role will involve researching the latest advancements in computer vision, deep learning, and image processing techniques to enhance model performance. You will work with image and video datasets, performing data preprocessing, augmentation, and analysis. It will be essential to implement and fine-tune state-of-the-art deep learning architectures like CNNs (ResNet, EfficientNet), Vision Transformers (ViTs), and GANs using frameworks such as TensorFlow, PyTorch, and OpenCV. In addition to deep learning models, you will utilize classical computer vision techniques like feature extraction and edge detection. You will also explore and implement foundation models in vision, including CLIP, DINO, SAM, and Diffusion Models for cutting-edge applications. Collaboration with cross-functional teams is crucial in defining use cases, evaluating model performance, and refining approaches for better accuracy and efficiency. You will be required to document research findings, model performance metrics, and key insights for internal reports and presentations. To excel in this role, you should have a basic knowledge of AI/ML concepts, strong understanding of computer vision fundamentals, proficiency in programming languages like Python, and experience with libraries such as OpenCV, TensorFlow, and PyTorch. Familiarity with deep learning models, data handling, mathematical proficiency, model optimization techniques, deployment & integration, problem-solving abilities, team collaboration, and eagerness to learn are essential skills required for this position. This is a full-time job opportunity with benefits such as Provident Fund, day shift schedule, and performance bonus. The ideal candidate should have 1 to 3 years of relevant work experience in computer vision. If you are passionate about AI, deep learning, and computer vision, and have a drive to stay updated with the latest research and industry advancements, we encourage you to apply for this position.,

You are a highly skilled Senior AI/ML Engineer with expertise in Natural Language Processing (NLP) and predictive AI models. Your passion lies in building intelligent systems that improve user experiences through voice recognition and financial insights. You excel in dynamic environments and enjoy leading AI/ML initiatives, making you an ideal fit for our team. Your responsibilities will include developing NLP models for voice recognition and natural interaction, designing and implementing predictive AI models for cash flow optimization and financial forecasting, building and fine-tuning machine learning models to provide real-time, actionable insights, and continuously improving AI systems through iterative learning and feedback. Collaboration with cross-functional teams to integrate AI capabilities into user-centric applications will also be a key part of your role. To excel in this position, you should have at least 5 years of experience in AI/ML, with a strong focus on NLP and deep learning. Proficiency in Python, TensorFlow/PyTorch, and familiarity with Hugging Face is required. Your ability to design, train, and deploy AI/ML models in real-world applications, along with a strong understanding of data processing, model optimization, and scalability, will be crucial for success. As a leader, you will embody the following principles: - Customer-First Mindset: Build AI solutions that intuitively respond to user needs. - Iterative Learning: Continuously refine models based on real-world feedback. - Collaboration: Lead AI/ML initiatives while empowering team members to innovate. Joining our team offers you the opportunity to work on cutting-edge AI technologies in a high-impact role, collaborate with a talented and passionate team, and shape the future of AI-driven financial and voice-based applications. If you are excited about building next-gen AI solutions, we encourage you to apply today!,

As a skilled AI Engineer, you will demonstrate proficiency in Generative AI & LLMs including GPT-3, Langchain, and LLMs. Your experience in prompt engineering, few-shot/zero-shot learning, RLHF, and model optimization will be essential in developing and implementing generative AI models. Your expertise in Machine Learning & NLP, particularly in Python utilizing frameworks like Hugging Face, TensorFlow, Keras, and PyTorch, will play a crucial role in optimizing LLM performance through fine-tuning and hyperparameter evaluation. A strong understanding of embeddings and data modeling is required for this role. Experience with various databases such as vector databases, RDBMS, MongoDB, and NoSQL databases (HBase, Elasticsearch), as well as data integration from multiple sources, will be beneficial. Your knowledge in Software Engineering, encompassing data structures, algorithms, system architecture, and distributed systems, will enable you to build and maintain robust distributed systems. Hands-on experience with Platform & Cloud technologies like Kubernetes, Spark ML, Databricks, and developing scalable platforms at scale is necessary. Proficiency in API Development, including API design, RESTful services, and data mapping to schemas, will be essential for integrating AI models into scalable web applications. Your responsibilities will include designing, developing, and implementing generative AI models, optimizing LLM performance, collaborating with ML and integration teams, building and maintaining distributed systems, integrating data from diverse sources, and enhancing response quality and performance using advanced techniques. To qualify for this role, you should hold a B.Tech / B.E. /M.Tech / M.E. degree and have a proven track record in building and deploying AI/ML models, particularly LLMs. Prior experience in developing public cloud services or open-source ML software would be advantageous. Knowledge of big-data tools will be considered a strong asset for this position.,

You will be responsible for designing, developing, and deploying deep learning models for various applications in Computer Vision and Natural Language Processing. Your role will involve working extensively with Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Transformer models. Conducting research on state-of-the-art deep learning algorithms and applying them to solve complex problems will be a key aspect of your job. You will be required to implement and fine-tune machine learning models using TensorFlow/PyTorch and collaborate with data scientists, researchers, and software engineers to integrate AI solutions into production environments. Optimizing deep learning models for scalability and efficiency, ensuring robust deployment in cloud or edge computing environments, will be among your responsibilities. Moreover, you will work on real-time and offline inference pipelines to deploy deep learning models efficiently. Staying updated with the latest advancements in Deep Learning, AI, and Machine Learning research and applying relevant insights to projects will be crucial. Your tasks will include performing data preprocessing, augmentation, and feature engineering to improve model performance. Developing custom loss functions, optimization techniques, and model architectures to enhance the efficiency of deep learning models will also be part of your role. Writing clean, efficient, and well-documented Python code for implementing and training machine learning models will be essential. In addition, you will conduct experiments, analyze results, and document findings for future reference and improvements. Working on improving model interpretability and explainability for real-world applications and collaborating with teams across different domains to understand business problems and design AI-driven solutions will be expected from you. The ideal candidate for this position should have a strong understanding of Deep Learning concepts and architectures. Expertise in Computer Vision (CNN, GAN) and NLP (RNN, LSTM, Transformer), proven experience with TensorFlow/PyTorch for training and deploying deep learning models, proficiency in Python, and experience in writing efficient and scalable machine learning code are necessary qualifications. Hands-on experience with model optimization, tuning, and hyperparameter search, solid understanding of mathematical concepts like linear algebra, probability, and optimization techniques, experience with handling large-scale datasets and data preprocessing techniques, familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying deep learning models, strong problem-solving skills, and the ability to think critically in designing AI solutions are also required. Having a research background in Deep Learning is preferred but not mandatory. Experience with distributed computing and parallel processing frameworks is a plus, as well as familiarity with MLOps and Model Deployment Pipelines.,

This role is for one of Weekday's clients. You will be working as a Lead Computer Vision & Gen AI Engineer based in Gurugram on a full-time basis. With a minimum of 5 years of experience, you will be responsible for designing and implementing diffusion models for furniture replacement in images and achieving ultra-realistic re-rendering. If you enjoy tackling complex AI challenges and are enthusiastic about developing innovative solutions in computer vision and image generation, this is the opportunity to redefine the future of virtual furniture visualization. Your main responsibilities will include designing, developing, and optimizing diffusion models tailored for furniture detection, replacement, and placement in images, as well as creating ultra-realistic image re-rendering pipelines for seamless furniture integration in various environments. You will collaborate closely with product and design teams to meet requirements and provide impactful AI-powered solutions. Additionally, you will research and implement cutting-edge generative AI techniques for photorealistic image synthesis, train, fine-tune, and deploy models for high accuracy and performance, and develop scalable APIs and systems to integrate model capabilities into production workflows. To excel in this role, you should have 3-4 years of experience in Generative AI with a focus on diffusion models and demonstrable expertise in furniture or object replacement and re-rendering using generative models. Proficiency in frameworks like PyTorch, expertise in fine-tuning diffusion models, distributed training using CUDA, knowledge of GANs, NeRF, or other generative models, familiarity with 3D rendering pipelines, and proficiency in working with large datasets are essential skills required. Strong analytical and problem-solving skills, excellent communication, and the ability to articulate complex ideas clearly, as well as a proactive and collaborative mindset for teamwork, are valuable soft skills for this role.,

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, you will be part of a team of bright individuals working with cutting-edge technologies. Our purpose is centered on making real positive changes in an increasingly virtual world, transcending generational gaps and disruptions of the future. We are currently seeking Power BI Professionals with 7-10 years of experience in the following areas: Technical Skills: - Proficiency in Power BI with a minimum of 4-5 years of experience in Power BI Development. - Data Modelling - DAX (Data Analysis Expressions) - Power Query - SQL: Proficiency in SQL for querying databases. - Data Visualization: Skills in creating visually appealing and informative reports and dashboards. - Model Optimization: Expertise in optimizing data models for performance, including techniques like reducing data size and efficient use of DAX. - Integration: Knowledge of integrating Power BI with other tools and platforms (e.g., Power Apps, SharePoint). - Security and Compliance: Row-Level Security (RLS), Object-Level Security (OLS), Managing Access Groups: Working knowledge of managing access groups to control user permissions and data access. Bonus Skills: - Advanced Excel - VBA (Visual Basic for Applications) - Power Platform Tools - O365 Platform Tools - Project Management Tool At YASH, you will have the opportunity to shape a career that aligns with your aspirations while collaborating in an inclusive team environment. We embrace career-oriented skilling models and harness technology to facilitate continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is guided by four principles: - Flexible work arrangements, Free spirit, and emotional positivity - Agile self-determination, trust, transparency, and open collaboration - All Support needed for the realization of business goals - Stable employment with a great atmosphere and ethical corporate culture.,

As a Lead Machine Learning Engineer at Ramboll Tech, you will play a pivotal role in creating cutting-edge AI solutions while nurturing a collaborative and growth-oriented culture. In this position, you will work closely with product owners, Chapter leads, and global ML Engineers to define technical roadmaps, implement best practices, and deliver impactful AI solutions. Your responsibilities will include defining architectural patterns for scalable LLM pipelines, integrating external knowledge bases, researching and developing effective RAG architectures, exploring state-of-the-art LLMs, evaluating and optimizing models, and driving continuous improvement through experimentation. Additionally, you will establish coding standards, mentor ML engineers, and ensure the success of ML-Ops for your Pod. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science or a related field, along with a minimum of 5 years of experience in implementing machine learning projects. Strong leadership skills, expertise in LLM and RAG architectures, proficiency in modern Transformer-based LLMs, and experience with programming tools like Python, PyTorch, TensorFlow, and deployment tools such as Docker and Kubernetes are essential. At Ramboll Tech, our team culture values curiosity, optimism, ambition, and empathy. We prioritize open communication, collaboration, and continuous learning, while fostering diversity and inclusivity within our workplace. As part of a global architecture, engineering, and consultancy firm, we are committed to sustainability, innovation, and creating a livable world where individuals can thrive in harmony with nature. If you are passionate about driving innovation, leading technical projects, and contributing to a dynamic team environment, we encourage you to apply for this role. Submit your CV and a cover letter through our application tool to begin the conversation about joining our team at Ramboll Tech. For any inquiries or requests regarding the application process, please contact us at [email protected],

As an AI Software Lead with 7-10 years of relevant experience, you will be responsible for designing, developing, and deploying scalable AI solutions with a focus on MLOps best practices. Your expertise will lie in AI model engineering, encompassing training and fine-tuning large language models (LLMs) and other deep learning architectures, as well as model optimization, quantization, and deployment to ensure optimal latency and throughput. Additionally, you will be involved in model evaluation and monitoring in production environments. Your role will also involve building and integrating AI capabilities such as computer vision, NLP, and recommendation systems into production-grade Web/Mobile App software. Experience in scaling AI systems for high-volume, real-time applications using Cloud-Native or Edge-AI technologies will be crucial for ensuring scalability and performance. A strong understanding of data pipelines and feature engineering for AI applications will be essential for data-driven development, enabling you to leverage data effectively in the development of AI solutions.,

We're hiring an experienced AI/ML Model Engineer to develop computer vision & AI-CAD solutions for enterprise clients. Work with U.S.-based teams to build & deploy scalable ML models. Requires 5+ yrs in ML, Python, TensorFlow/PyTorch & CAD expertise.

You will be responsible for designing, building, and optimizing Machine Learning Models. This involves developing predictive or classification models, optimizing them for scalability and performance, and deploying them into production. Additionally, you will be supporting Pre-Sales activities by collaborating with the sales team to understand client needs, presenting technical solutions, and participating in client meetings and proposal development. As part of your role, you will also work closely with various departments such as Engineering, Product Management, and Sales, effectively communicating complex concepts to both technical and non-technical stakeholders. You will be involved in ongoing monitoring and maintenance of live models, staying updated with industry trends, tools, and technologies, and participating in professional development opportunities. To qualify for this position, you should hold a Bachelor's degree in a related discipline or possess an equivalent combination of education and work experience. A minimum of 4+ years of solid, diverse work experience is required.,

As a Gen AI Consultant with 3-4 years of experience in Generative AI, NLP, and Machine Learning, you will be an essential part of our team based in Hyderabad. Your primary role will involve developing AI-driven solutions, refining models, and integrating AI technologies into various business applications. Your key responsibilities will include designing and implementing Generative AI models such as LLMs, NLP, and Deep Learning. You will be required to fine-tune and optimize these AI models for improved performance and scalability. Additionally, you will play a crucial role in deploying chatbots, automation tools, and other AI-based applications using Python, TensorFlow, PyTorch, and Hugging Face frameworks. Furthermore, you will be responsible for deploying AI models through APIs, cloud platforms like AWS, Azure, Google AI, and vector databases. It will be essential for you to stay updated on the latest advancements in the field of AI and provide recommendations for innovative solutions. To excel in this role, you should possess 3-4 years of practical experience in Generative AI, NLP, and ML. Proficiency in LLMs such as GPT, BERT, T5, and experience in AI model deployment are essential. Strong knowledge of prompt engineering, data preprocessing, and model optimization is required. Experience with cloud-based AI services and MLOps, along with excellent problem-solving and communication skills, will be beneficial for your success in this position.,

We are seeking an experienced Gen AI and LLM Developer to design, develop, and deploy generative AI models and large language models (LLMs) for advanced natural language processing (NLP) tasks. The ideal candidate will have 6-9 years of experience with LLM architectures (e.g., GPT, BERT), deep learning frameworks (PyTorch, TensorFlow), and cloud platforms (AWS, GCP, Azure). Responsibilities include training and fine-tuning models, optimizing for performance, collaborating with cross-functional teams, and staying updated on the latest AI trends. Strong technical skills in Python, NLP techniques, model optimization, and distributed training are essential.Experience designing scalable system with Generative AI and Exposure to full stack development on .net or Java based platform

As an AI Software Engineer at our company based in Ahmedabad, you will play a crucial role in driving innovation and improving our software products by implementing intelligent automation and cutting-edge AI solutions. Your primary responsibilities will include designing AI algorithms and utilizing extensive datasets to deliver sophisticated and scalable features. Your responsibilities will involve developing and deploying AI algorithms for seamless product integration in real-time scenarios. You will also be tasked with constructing and managing data models and pipelines for processing large volumes of data efficiently. Additionally, implementing autoclassification systems for handling unstructured data and working on AI-driven code automation and smart programming tools will be part of your daily tasks. It will be essential to ensure the optimal performance of AI software by utilizing scalable infrastructure and maintaining clean code practices. You will need to leverage predictive analytics to gain insights into user behavior, prioritize features, and minimize customer churn. Analyzing logs, feedback, and usage data using AI will be crucial for extracting actionable insights. Furthermore, managing internal process optimization by utilizing AI and providing training to team members across various departments will also be a key aspect of your role. The key requirements for this position include a Bachelor's or Master's degree in Computer Science, AI, or a related field. You should possess a minimum of 5 years of overall experience in software development, with at least 2-3 years of specific experience in applying AI within software development environments. Proficiency in Python and ML frameworks such as TensorFlow and PyTorch is essential. Experience in data handling, machine learning, and deploying models into production environments is also required. A strong understanding of AI-driven automation and model optimization is crucial, and familiarity with tools like AutoML, LLMs, or AI code generation tools would be considered a plus.,

As an MLOps Engineer at Neolytix, you will play a crucial role in building, deploying, and maintaining AI/ML systems for our healthcare Revenue Cycle Management (RCM) platform. Your primary focus will be on operationalizing machine learning models that analyze claims, prioritize denials, and optimize revenue recovery through automated resolution pathways. You will be working with a key tech stack that includes fine-tuned healthcare LLMs such as GPT-4 and Claude for complex claim analysis, domain-specific SLMs for denial code classification, and prediction, as well as NER models for extracting critical claim information. Your expertise in Python with OOP principles, developing APIs using frameworks like Flask or Fast API, and integration knowledge with front-end applications will be essential for this role. Your responsibilities will involve designing and implementing end-to-end ML pipelines for claims processing, deploying and orchestrating LLMs and SLMs in production using containerization and Azure cloud services, and implementing monitoring systems to track model performance and operational health metrics. You will also establish CI/CD pipelines specifically for ML model training, validation, and deployment, create data preprocessing pipelines for healthcare claims data, and optimize models for performance and cost-efficiency. To excel in this role, you should have experience operationalizing LLMs for domain-specific enterprise applications, a background in healthcare technology or revenue cycle operations, and a proven track record of improving model performance metrics in production systems. Neolytix offers a competitive salary and benefits package, an opportunity to contribute to innovative AI solutions in the healthcare industry, a dynamic and collaborative work environment, and opportunities for continuous learning and professional growth. If you are passionate about leveraging AI/ML technologies to revolutionize healthcare claims management, we encourage you to apply by submitting your resume and a cover letter detailing your relevant experience and interest in the role to vidya@neolytix.com.,

Job Description 3+ yrs. experience in MATLAB, Target Link, state flow, TPT, MXAM - C, C++ Programming, Autosar experience. - Working knowledge of ASPICE Quality Process, ASIL, Autosar Development and Test Methodology - Demonstrated experience in requirements management. - Expert in model architecture, design and model Optimization, Model Variant Management - Expert in code generation optimization using TargetLink - Using Code generation features like Modules, Functions to make Reusable libraries and Unit testing them, Model Referencing, Incremental Code Generation, bus objects - Design Models from Requirements: Modular, Unit Testable, Reusable, Replaceable, Scalable. - Embedded C language and Target Link, mScripts - MAAB Guidelines, MXAM , MXRAY - PVCS/SVN/MKS version manager - Experience working with TPT for testing with requirement management. - Experience using TPT Requirement traceability till TestCase, TestSteps. - Canoe Testing Experience - Good mathematical, analytical and communication skills. -Good to have Python scripting language knowledge - Know how on Agile Frameworks and tools: Scrum/Kanban, JIRA, Confluence, TMX, R4J Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.