32 Cnns Jobs

As a Deep Learning and Computer Vision Engineer at Sciverse Solutions Pvt. Ltd., you will be an integral part of the core AI team responsible for designing, training, and deploying models for various applications in the field of microscopy image analysis, diagnostic automation, and embedded vision systems. Your contribution will also involve exploring vision-language models (VLMs) to enhance structured report generation capabilities. Your primary responsibilities will include developing and training deep learning models for tasks such as object detection, segmentation, classification, and metric learning using real-world biomedical and diagnostic datasets. You will work on optimizing models for embedded and edge inference, collaborating with firmware and software teams for seamless deployment, and building scalable vision pipelines for tasks like cell counting and morphology estimation. Additionally, you will have the opportunity to experiment with transformer-based models and VLMs for microscopy captioning and report generation. Collaboration with cross-functional teams, staying updated with the latest advancements in vision and multimodal AI, and possessing a strong foundation in deep learning are essential for success in this role. Must-have skills for this position include a strong understanding of deep learning concepts, experience with image classification and segmentation, proficiency in PyTorch and optionally TensorFlow, and hands-on experience with model deployment and optimization tools. Strong debugging and visualization skills, familiarity with medical imaging formats, and exposure to MLOps tools are considered advantageous. The ideal candidate for this role is a self-starter with a strong sense of ownership, passionate about leveraging AI to solve real-world healthcare challenges, and thrives in an agile, research-to-product environment. By joining Sciverse, you will have the opportunity to work on mission-driven healthcare technology, solve unique AI and vision challenges, and be part of a fast-growing, engineering-driven team. If you are excited about making a meaningful impact in the healthcare industry through cutting-edge technology, we encourage you to apply by emailing your CV, portfolio (if any), and a brief statement outlining your enthusiasm for this role to info@sciverse.co.in.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking to hire individuals with strong AI Enabled Automation skills who are interested in applying AI in the process automation space using technologies such as Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to demonstrate the potential of AI enabled automation applications. - Ensure seamless integration of optimized solutions into the overall product or system. - Collaborate with cross-functional teams to understand requirements, integrate solutions into cloud environments (Azure, GCP, AWS, etc.), and ensure alignment with business goals and user needs. - Educate the team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project. Technical Skills Requirements: - 9 to 13 years of relevant professional experience. - Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. - Strong foundation in ML algorithms, feature engineering, and model evaluation (Must). - Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP (Must). - Experience in GenAI technologies such as LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI (Agentic Framework). - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience/implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility) Good to have. - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Good understanding of data pipelines, APIs, and distributed systems. - Build observability into AI systems latency, drift, performance metrics. - Strong written and verbal communication, presentation, client service, and technical writing skills in English for both technical and business audiences. - Strong analytical, problem-solving, and critical thinking skills. - Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. While we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY, you can be who you are and express your point of view, energy, and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

You are an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. Leveraging deep technical expertise, Agile methodologies, and data-driven intelligence, you modernize systems of engagement and simplify human/tech interaction. Amazing things happen in environments where everyone feels a true sense of belonging and has the skills and opportunities to succeed. Investing in talent and supporting career growth is a priority, always looking for amazing talent to contribute to growth by delivering top results for clients. Join the team to challenge yourself and accomplish meaningful work. As a highly experienced Computer Vision Architect with deep expertise in Python, you will design and lead the development of cutting-edge vision-based systems. Architecting scalable solutions leveraging advanced image and video processing, deep learning, and real-time inference, you will collaborate with cross-functional teams to deliver high-performance, production-grade computer vision platforms. Key Responsibilities: - Architect and design end-to-end computer vision solutions for real-world applications like object detection, tracking, OCR, facial recognition, and scene understanding. - Lead R&D initiatives and prototype development using modern CV frameworks such as OpenCV, PyTorch, TensorFlow. - Optimize computer vision models for performance, scalability, and deployment on cloud, edge, or embedded systems. - Define architecture standards and best practices for Python-based CV pipelines. - Collaborate with product teams, data scientists, and ML engineers to translate business requirements into technical solutions. - Stay updated with the latest advancements in computer vision, deep learning, and AI. - Mentor junior developers and contribute to code reviews, design discussions, and technical documentation. Required Skills & Qualifications: - Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field (PhD is a plus). - 8+ years of software development experience, with 5+ years in computer vision and deep learning. - Proficiency in Python and libraries such as OpenCV, NumPy, scikit-image, Pillow. - Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras. - Strong understanding of CNNs, object detection (YOLO, SSD, Faster R-CNN), semantic segmentation, and image classification. - Knowledge of MLOps, model deployment strategies (e.g., ONNX, TensorRT), and containerization (Docker/Kubernetes). - Experience working with video analytics, image annotation tools, and large-scale dataset pipelines. - Familiarity with edge deployment (Jetson, Raspberry Pi, etc.) or cloud AI services (AWS SageMaker, Azure ML, GCP AI).,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

You will be working as an AI Engineer specializing in Localization within the AI/ML business unit based in Bangalore. With 2-5 years of experience and a degree in B.E / B.Tech / MS in computer science, you will have the following roles and responsibilities: - As an AI engine creator, you will be involved in training new models, integrating existing models, and applying transfer learning techniques. - Join a dynamic team working on cutting-edge AI solutions for the Media and Entertainment industry. Contribute actively to the development and enhancement of new AI solutions. - Collaborate with Gen AI / LLM solutions, focusing on prompt engineering and prompt optimization for optimal results extraction. - Develop sophisticated solutions that simplify complexity for customers while ensuring cost-effectiveness and efficiency. - Fine-tune accuracies and explore innovative approaches to enhance hypothesis without overfitting. - Demonstrate the ability to handle ambiguity and take the lead in solving industry challenges with little historical reference. - Provide technical and thought leadership within the team. - Possess hands-on experience in Localization, Speech to text, Transcription, and Translation. - Expertise in Computer vision, Open CV, TensorFlow, PyTorch, Python, Neural networks, CNNs, GenAL, Generative AI, LLMs, Prompt engineering, AWS or Azure cloud, Dockers, and K8s/Kubernetes is essential. - Knowledge of GANs, Nano models, Google LLMs (Bard, Gemini), and Hugging face models (Mistral, etc) would be an additional advantage. In addition to your responsibilities, you may also be involved in inventing and patenting new technologies to further enhance AI solutions in the industry.,

You will be responsible for developing and implementing machine learning models to address business challenges, such as classification, regression, clustering, and recommendation systems. Your role will involve building and overseeing complete data science pipelines, encompassing data preprocessing, feature engineering, model creation, and deployment. Collaborating with diverse teams will be essential to seamlessly integrate models into operational environments. Your focus will be on ensuring that models are scalable, precise, and in line with business objectives. Additionally, you will work with both structured and unstructured data from various sources, including images, text, and sensor data. Continuous evaluation and enhancement of model performance will be crucial to ensure solutions remain current with the latest AI/ML advancements. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, engineering, or a related field. A minimum of 3+ years of practical experience in data science and machine learning is required. Proficiency in Python is essential, along with a strong background in utilizing libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch. Experience in constructing and deploying machine learning models in live environments is essential. Familiarity with NLP techniques and deep learning models, including CNNs, RNNs, and Transformers like LLMs for classification and sentiment analysis, is crucial. Any exposure to cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) would be advantageous. Strong analytical and problem-solving abilities are necessary, particularly when working with extensive and intricate datasets. Effective communication skills are also key in this role. This position offers an exciting opportunity to leverage your expertise in data science and machine learning to develop innovative solutions that drive business success while staying at the forefront of AI/ML developments.,

You should have a Bachelors degree in Computer Science, Electrical Engineering, or a related field. A strong understanding of computer vision fundamentals including image processing and feature extraction is required. Experience with machine learning frameworks like OpenCV, TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries such as NumPy, SciPy, and Matplotlib is expected. Basic knowledge of deep learning models like CNNs, RNNs, and transformers is necessary. Familiarity with model architectures such as ResNet, YOLO, SSD, and U-Net is preferred. You should have an understanding of algorithms, data structures, and relevant mathematical concepts. Knowledge of cloud platforms like AWS and GCP, as well as edge computing frameworks, is a plus. Experience with GPU computing using CUDA and cuDNN is beneficial. Previous hands-on experience in computer vision projects or open-source contributions would be desirable for this role.,

As the Manager- Data Science at Holcim, you will play a crucial role in the Groups Global Advanced Analytics CoE by enabling our Businesses for Insights Driven Operations and Decision making through the utilization of cutting edge Analytics tools and techniques. Your primary responsibility will involve working closely with Business / Domain Subject Matter Experts to understand pain points and opportunities, and develop analytical models to identify patterns and predict outcomes of key business processes. You will be required to identify the most suitable modeling techniques and apply Machine Learning and Deep Learning Algorithms to create self-correcting models and algorithms. It will be essential to collaborate with Product Development teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions. Additionally, you will test hypotheses on raw datasets to derive meaningful insights and identify new opportunity areas. Your role will encompass all aspects of data including data acquisition, data exploration, feature engineering, building and optimizing models, and deploying Gen AI Solutions. You will be involved in designing full stack ML solutions in a distributed computing environment such as AWS and GCP, with the possibility of developing ML solutions for deployment on the edge or mobile devices if required. To be successful in this role, you should possess a total experience of 12-15 years with at least 8 years of relevant Analytics experience. Industry Experience and knowledge, particularly in Manufacturing/ Operations Functions within the Building Material Industry, Manufacturing, Process, or Pharma sectors, is preferred. Hands-on experience in statistical and data science techniques, as well as developing and deploying Gen AI Solutions, will be critical for this position. In terms of technical skills, you should have over 8 years of hands-on experience in advanced Machine Learning & Deep Learning techniques and algorithms, such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, and Transformers. Proficiency in statistical computer languages like Python and PySpark to manipulate data and draw insights from large datasets is essential. Experience with Cloud platforms like AWS, DL frameworks such as TensorFlow, Keras, or PyTorch, and familiarity with business intelligence tools and data frameworks will be advantageous. In addition to technical skills, leadership and soft skills are equally important for this role. You should lead by example on values and culture, be open-minded, collaborative, and an effective team player. Working in a multicultural and diverse team, dealing with ambiguity, and communicating openly and effectively with various stakeholders are key aspects of this position. Being driven for success, aspiring to a culture of service excellence, and always prioritizing customer satisfaction, people, and business are qualities that will set you up for success in this role. If you are motivated by the opportunity to make a significant impact through data-driven decisions and innovative solutions, we invite you to build your future with us at Holcim by applying for this role.,

As a Data Science/Computer Vision Intern at SigTuple, a dynamic and innovative healthcare company specializing in Digital Microscopy, you will have the opportunity to work on cutting-edge projects and collaborate with talented professionals in a fast-paced environment. We are seeking a highly motivated and talented individual to join our team for a six-month internship. Your primary responsibilities will include assisting in collecting, preprocessing, and analyzing large-scale datasets for computer vision applications. You will design and implement machine learning algorithms and models for tasks such as image classification, object detection, and image segmentation. Additionally, you will develop and optimize computer vision algorithms to extract meaningful insights from visual data and collaborate with cross-functional teams to integrate these solutions into existing products or systems. To be successful in this role, you should currently be pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. Strong programming skills in Python, along with experience using libraries such as TensorFlow, PyTorch, OpenCV, and scikit-learn, are required. Knowledge of machine learning techniques and algorithms, particularly in the context of computer vision, is essential. Familiarity with deep learning architectures (e.g., CNNs, RNNs) and frameworks (e.g., TensorFlow, PyTorch) is also important. Experience working with image and video data, including preprocessing, feature extraction, and augmentation, will be beneficial. Proficiency in version control systems (e.g., Git) and collaborative development tools is expected. Excellent problem-solving skills, attention to detail, and effective communication skills are necessary for this role. The ability to explain complex concepts to technical and non-technical stakeholders is crucial. If you have prior research or project experience in data science, computer vision, or related fields, it would be a plus. Stay up-to-date with the latest developments in data science, computer vision, and related fields to contribute effectively to our team.,

Offshore Software Solutions is looking for a Data Scientist with 3-5 years of experience in analyzing health data from devices like smartwatches and fitness trackers. The role involves developing custom machine learning models using TensorFlow to derive actionable insights for improving health monitoring and user well-being. Your responsibilities will include analyzing health data from wearables, developing and deploying machine learning models, collaborating with cross-functional teams, preprocessing data, ensuring privacy standards compliance, optimizing models for accuracy, and presenting findings to stakeholders. Additionally, you will stay updated on the latest machine learning research related to health data from wearable devices. Requirements for this role include a Bachelor's or Masters degree in Data Science or related field, 3+ years of data analysis experience, expertise in TensorFlow, knowledge of deep learning and neural networks, proficiency in Python and data science libraries, familiarity with health data metrics, experience with data visualization tools and databases, and strong problem-solving skills. Preferred qualifications include working with wearable device APIs, understanding time-series analysis and anomaly detection, experience in edge computing, and good communication skills for effective collaboration. If you are passionate about leveraging data science to improve health monitoring and user well-being, and possess the required skills and qualifications, we encourage you to apply for this exciting opportunity at Offshore Software Solutions in Mohali, Punjab.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

As an AI/ML Engineer, you will be a valuable member of our team, contributing to the development of intelligent systems that harness the power of machine learning and artificial intelligence. Your primary responsibilities will include designing, creating, and implementing machine learning models to address a variety of use cases, such as prediction, classification, NLP, and computer vision. You will collaborate closely with diverse teams to deliver innovative solutions that tackle real-world challenges effectively. Your key responsibilities will involve: - Designing and implementing machine learning models and algorithms for different applications. - Analyzing and preprocessing extensive datasets to establish resilient training pipelines. - Staying abreast of the latest advancements in AI/ML through research and integrating relevant techniques into projects. - Training, fine-tuning, and optimizing models to ensure high performance and scalability. - Deploying models into production environments using tools like Docker, Kubernetes, or cloud services (AWS, GCP, Azure). - Working alongside software engineers, data scientists, and product teams to seamlessly integrate AI/ML solutions into applications. - Monitoring model performance in production, continuously iterating for enhancements, and documenting design decisions, code, and models for transparency and reproducibility. Preferred qualifications for this role include: - Proficiency in NLP libraries (e.g., Hugging Face Transformers, spaCy) or computer vision tools (e.g., OpenCV). - Familiarity with deep learning architectures like CNNs, RNNs, GANs, or transformer models. - Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker). - Previous contributions to open-source AI/ML projects or publications in relevant conferences/journals. If you are passionate about AI/ML technologies and eager to work on cutting-edge solutions that make a meaningful impact, we encourage you to apply for this exciting opportunity to join our dynamic team.,

As an AI/ML Developer at our Gurugram location, you will be responsible for designing and implementing end-to-end machine learning models using Python for various tasks such as regression, classification, clustering, NLP, and deep learning. Your expertise in developing AI applications based on Machine Learning and Large Language Model (LLM) using tools like LangChain, RAG pipelines, vector databases, and more will be crucial in driving AI innovation. You will work on building and deploying AI applications leveraging technologies such as Retrieval Augmented Generation (RAG), LangChain, LLMs (OpenAI, Huggingface Transformers), and Vector Databases (FAISS, Pinecone, Milvus). Your role will involve developing robust pipelines for semantic search and retrieval chains in real-world production systems, writing clean and efficient Python code, and collaborating with cross-functional teams to deliver scalable AI/ML solutions. If you have front-end skills in React, it would be considered a big plus as you may also contribute to UI components for interactive AI applications. To be successful in this role, you should have at least 5 years of hands-on experience in AI/ML development using Python and a strong knowledge of ML algorithms such as XGBoost, SVM, Random Forests, Logistic Regression, as well as deep learning models like CNNs, RNNs, Transformers (BERT, GPT), and unsupervised learning techniques including K-Means and PCA. Experience with RAG architecture, LangChain, advanced prompt engineering, vector search techniques, and Python libraries like scikit-learn, TensorFlow, PyTorch, and Huggingface Transformers is essential. Proficiency in working with cloud environments such as AWS, Azure, or GCP is also required. It would be nice to have front-end development experience using React.js, familiarity with MLOps tools like MLflow, Kubeflow, Airflow, and knowledge of self-supervised or contrastive learning methods such as SimCLR and CLIP. In this role, you will have the opportunity to work on cutting-edge AI/ML technologies, collaborate in a fast-paced and innovative environment, contribute to impactful production-level AI solutions, and enjoy competitive compensation and benefits.,

You are an experienced professional with 5 to 12 years of experience, looking for a Full-Time opportunity as an Azure Generative AI Engineer. Your primary skills include Data Science, Machine Learning, Python, AI, and Azure. You will be responsible for designing, developing, and deploying Generative AI applications using Python, FastAPI, Azure Durable Functions, and Azure OpenAI Services. You must build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI applications and work on end-to-end Generative AI projects. Your role involves integrating AI/ML search and data services such as Azure Cognitive Search, Cosmos DB, and other Azure-native tools. Automation of key components of the RAG workflow for ensuring production-grade performance and scalability is crucial. You will be evaluating, validating, and fine-tuning the outputs of Generative AI models for accuracy and relevance, implementing monitoring, observability, and guardrails to ensure responsible and secure use of AI technologies, and collaborating with cross-functional teams to deliver innovative AI solutions. To qualify for this role, you must have strong programming experience in Python, including frameworks like FastAPI and Flask. A deep understanding of Generative AI, LLMs, and RAG methodologies is essential. Proficiency in Azure cloud services, especially Azure OpenAI, Functions, AI Search, and Cosmos DB is required. Hands-on experience with machine learning, deep learning, and natural language processing (NLP) is a must. Familiarity with ML/DL frameworks such as TensorFlow, PyTorch, and libraries like scikit-learn, spaCy, etc., is expected. You should possess solid knowledge of machine learning algorithms, including GPTs, CNNs, RNNs, k-NN, Naive Bayes, SVM, and Decision Forests, along with experience in evaluating and fine-tuning LLM performance and implementing responsible AI practices. Preferred qualifications include certifications in Azure AI Engineer Associate or related fields. Experience working with managed LLMs beyond Azure OpenAI (e.g., OpenAI API, Anthropic, Cohere, etc.) and knowledge of DevOps, CI/CD, and infrastructure automation for AI pipelines are considered advantageous.,

We are seeking a highly motivated Deep Learning Engineer with specialized expertise in computer vision and audio analysis. As a part of our team developing AI-driven solutions utilizing multi-modal deep learning, you will play a crucial role in designing and implementing deep learning models for various tasks such as image, video, object detection, and audio classification. Your responsibilities will include integrating attention mechanisms into model architectures, utilizing pretrained models for transfer learning, and working with video data using spatiotemporal modeling techniques. Additionally, you will be responsible for extracting and processing features from audio and evaluating and optimizing models for speed, accuracy, and robustness. Collaboration across teams to deploy models into production will also be a key aspect of this role. The ideal candidate should have strong programming skills in Python, proficiency in PyTorch or TensorFlow, and hands-on experience with CNNs, pretrained networks, and attention modules. A solid understanding of Vision Transformers, recent architectures, and attention mechanisms is essential. Experience in implementing and training object detection models, video analysis, temporal modeling, and audio classification workflows is highly desired. Moreover, familiarity with handling large-scale datasets, designing data pipelines, and training strategies for deep models will be beneficial for this position. If you are passionate about deep learning, possess the required skills and experience, and are eager to contribute to cutting-edge AI solutions, we encourage you to apply for this position. Join us at CureBay and be a part of our dynamic team dedicated to pushing the boundaries of technology and innovation.,

As a Machine Learning Engineer specializing in Computer Vision, you will play a crucial role in designing, developing, and deploying cutting-edge computer vision models and algorithms for real-world robotic applications. Working alongside a talented team, you will utilize state-of-the-art deep learning techniques to solve complex vision problems ranging from object detection to image segmentation and 3D perception. Your contributions will directly influence the evolution of intelligent systems within the field of robotics. This position is based on-site in Pune and requires immediate availability for joining within one month. Qualifications: - Educational Background: B.Tech., B.S., or B.E. in CSE, EE, ECE, ME, Data Science, AI, or related fields with a minimum of 2 years of hands-on experience in Computer Vision and Machine Learning. Alternatively, an M.S. or M.Tech. in the same disciplines with 2 years of practical experience in Computer Vision and Python programming. - Technical Expertise: You should possess strong experience in developing deep learning models and algorithms for various computer vision tasks, including object detection, image classification, segmentation, and keypoint detection. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, or Keras is essential. Additionally, experience with OpenCV for image processing and computer vision pipelines is required. A solid understanding of convolutional neural networks (CNNs) and other vision-specific architectures such as YOLO, Mask R-CNN, and EfficientNet is expected. Ability to build, test, and deploy robust models using PyTest or PyUnit testing frameworks is necessary. Hands-on experience with data augmentation, transformation, and preprocessing techniques for visual data is also a key requirement. Familiarity with version control using Git is a plus. - Desirable Skills: Experience with 3D vision, stereo vision, or depth sensing technologies will be advantageous. Familiarity with ROS2 for integrating vision systems into robotic platforms, understanding of sensor fusion techniques (e.g., LiDAR, depth cameras, IMUs), exposure to MLOps for deploying and maintaining computer vision models in production environments, knowledge of CMake for building and integrating machine learning and vision-based solutions, experience with cloud-based solutions for computer vision, and ability to work with CUDA, GPU-accelerated libraries, and distributed computing environments are desirable skills. Location: This role is on-site in Pune, India, and immediate availability for joining is required. Why Join Us - Shape the future of robotics and AI by focusing on state-of-the-art computer vision applications. - Work in a dynamic and collaborative environment with a team of highly motivated engineers. - Competitive salary and benefits package, including performance-based incentives. - Opportunities for growth and professional development, including mentorship from industry experts. If you are passionate about leveraging deep learning and computer vision to develop intelligent systems that perceive and interact with the world, we look forward to hearing from you!,

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

You will be responsible for building deep learning models using TensorFlow/PyTorch. Collaborate with the team to ensure proper testing and deployment of the models. Demonstrate good knowledge and understanding of Deep Learning Algorithms in both NLP (LSTMs, RNNs, etc.) and Computer Vision (CNNs, etc.) domain, as well as TensorFlow and deep learning frameworks like Keras, PyTorch to solve real-life problems. Create and update documentation for the work done. Understand deep learning algorithms implementation from scratch such as LSTM, RNNs, DNNs, BI-LSTMs. Work on Computer Vision and Image processing, as well as TRANSFER LEARNING - GANs. Minimum qualifications include a Master or PhD degree in Statistics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience. Relevant internship or work experience with data analysis. Experience with statistical software (R, Python, S-Plus, SAS, or similar) and database languages (e.g. SQL) is required. Preferred qualifications include a Master's or B.Tech in relevant field. Your responsibilities will include researching on given machine learning/data science topics for writing articles for company websites. Assist with hands-on coding on Jupyter Notebook for providing code snippets in the articles. Work on short projects & assignments, deployment techniques, and design and implement machine learning, information extraction, probabilistic matching algorithms and models. Use your passion for programming and deep learning/AI skills using Python, TensorFlow, and deep learning frameworks like Keras, PyTorch to solve real-life problems. Develop AI solutions in the computer vision domain using convolutional neural networks (CNN) and a combination of deep neural networks such as CNN & RNN. Solve object detection, recognition, image classification problems using machine learning and deep learning algorithms & transfer learning methods and techniques. Use innovative & automated approaches for data annotation, labeling, and data augmentation & use active learning. Handle online code assistance, code mentoring, and education-based solutions. Perks include Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, Free snacks & beverages.,

As a Senior ML/AI Engineer at our Technology Innovation Lab, you will be a key member of a cross-disciplinary team dedicated to advancing AI and intelligent automation at HERE. Your primary responsibility will be to develop cutting-edge machine learning systems that leverage Agentic AI, Generative AI, and foundational ML techniques to drive the next generation of applications. Collaborating closely with technical leads, researchers, and engineers, you will prototype solutions to address real-world spatial, operational, and knowledge-driven challenges. Your role will involve architecting and implementing AI-first systems using technologies such as Large Language Models (LLMs), Autonomous Multi-Agent Architectures, and Classical ML models like regression, clustering, XGBoost, SVM, and tree-based learners. Leading the development of Agentic AI solutions will be a core aspect of your role, encompassing tasks such as orchestration, memory/context management, tool invocation, and human-agent collaboration. You will also be responsible for designing and delivering end-to-end Generative AI applications for various purposes including text generation, summarization, code synthesis, image generation, and multi-modal interfaces. Your expertise in deep learning techniques, including CNNs, RNNs (LSTM, GRU), GANs, Diffusion Models, Transformers, and Graph Neural Networks, will be crucial for tackling real-world tasks in vision, language, and planning. You will collaborate across teams to translate domain-specific problems into scalable, explainable, and production-ready AI solutions while incorporating responsible AI principles. Staying at the forefront of AI research will be essential, as you evaluate and implement emerging LLM models, agentic frameworks, and open-source innovations to ensure technical currency in this rapidly evolving field. You will also design and lead experiments across advanced AI/ML areas, encompassing computer vision, NLP, LLMs, and emerging domains like quantum computing, distributed computing, 3D modeling, AR/VR, and LiDAR/drone data processing. Writing efficient, production-quality code using Python and leveraging frameworks like PyTorch, TensorFlow, and Spark for large-scale ML training and inference will be part of your daily tasks. Defining and tracking KPIs at both individual and business unit levels, in collaboration with your manager, will ensure that your work drives impactful innovation. Supporting and mentoring engineers and data scientists in best practices related to prompt design, agent workflows, evaluation frameworks, and research translation will also be part of your responsibilities. Additionally, contributing to HERE's innovation footprint through patents, internal IP development, and peer-reviewed publications will be encouraged. To qualify for this role, you should hold a Master's degree or Ph.D. in Computer Science, AI/ML, Mathematics, or a related field. Candidates with a Master's degree should have 5-7 years of experience, while Ph.D. holders may have 3-5 years of relevant experience. A strong understanding of ML fundamentals, hands-on experience with deep learning architectures, proficiency in Python, and familiarity with ML frameworks are essential qualifications. Curiosity and exposure to adjacent technologies like TinyML, Quantum Computing, or 3D modeling/AR will be considered advantageous. At HERE Technologies, we are a location data and technology platform company dedicated to empowering our customers and making a positive impact on people's lives. If you are passionate about driving innovation and creating positive change in an open world, we invite you to join us on this exciting journey.,

The key responsibilities include owning the design, development, and optimization of sophisticated systems in C/C++ for image and signal processing. The role involves developing and implementing algorithms with a strong focus on performance, scalability, and efficiency. Additionally, the position requires leveraging machine learning techniques, particularly Convolutional Neural Networks (CNNs), for sophisticated image processing, computer vision, and related tasks. The candidate will take ownership of end-to-end software development, leading technical problem-solving efforts. A key aspect of the role is providing technical mentorship and guidance to junior engineers and peers within the team. Finally, the position involves working in an Agile environment, contributing to sprint planning, reviews, and retrospectives. Job Requirements: Technical Skills (Must have): Strong programming knowledge in C/C++. Good image/signal processing knowledge with experience in using OpenCV/Matlab. B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Excellent algorithm and good data-structure design skills with theoretical background in analysis of algorithms. Technical Skills (Desirable): Experience in parallel and distributed computing, with working knowledge of tools such as Sun Grid Engine, LSF, etc. Familiarity with configuration management tools such as CVS. Familiarity with Scrum, experience with defect tracking tools such as ClearQuest, JIRA.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultant - Data Scientists with Computer vision experience! We are seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments. Key Responsibilities: Lead CV Projects: Design and deliver Computer Vision models across a range of use cases (e.g., anomaly detection, visual inspections, OCR, predictive maintenance). Model Development: Develop, evaluate, and optimize state-of-the-art AI/ML models (e.g., CNNs, Vision Transformers, YOLO, Faster R-CNN, etc.). Mentorship: Guide junior and mid-level data scientists on best practices in feature engineering, model selection, evaluation metrics, and problem-solving strategies. Domain Translation: Translate complex industrial problems into AI-driven CV solutions that can scale in production environments. Collaboration: Work closely with software engineers, MLOps , and business teams to ensure model integration and operational success. Code Quality & Experimentation: Drive code modularity, reproducibility, and experimentation through use of ML pipelines, version control, and testing. Innovation & Research: Stay current with latest CV and AI/ML advancements and apply them appropriately to business problems. Stakeholder Communication: Present insights, models, and outcomes in a clear and impactful way to both technical and non-technical stakeholders. Qualifications we seek in you! Minimum Qualifications Master&rsquos or PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field. industry experience in building and deploying machine learning models, with a strong portfolio in Computer Vision. Deep expertise in ML frameworks and CV libraries such as PyTorch , TensorFlow, OpenCV, Detectron2, MMDetection , etc. Solid understanding of core AI/ML algorithms - classification, regression, segmentation, object detection, time-series, clustering, etc. Experience with MLOps tools (e.g., MLflow , DVC, Kubeflow) and cloud platforms (AWS/GCP/Azure). Strong communication , leadership, and team collaboration skills . Preferred Qualifications: Prior experience in domains such as energy, utilities, power generation, or industrial systems is highly preferred. Experience deploying CV models within real-time environments. Contributions to open-source CV projects or published research. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Lead the development of CI/CD pipelines and standardize deployment frameworks. Strong Python programming skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Position -- Permanent Role Senior AI Developer Experience 6+ Years Location Chennai/Bangalore Work Mode – WFO/Hybrid Shift Timing – Afternoon (2pm – 10pm) About the Role We are seeking a highly skilled and experienced AI Developer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with hands-on experience in designing and deploying AI solutions across various domains. You will work closely with data scientists, software engineers, and product teams to build intelligent systems that solve real-world problems. Key Responsibilities: Design, develop, and deploy AI/ML models for various business applications. Collaborate with cross-functional teams to understand requirements and deliver AI-driven solutions. Optimize and scale machine learning models for performance and accuracy. Integrate AI models into production systems using APIs and cloud platforms. Conduct research and stay updated with the latest advancements in AI and ML. Mentor junior developers and contribute to code reviews and best practices. Document processes, models, and workflows for internal and external stakeholders. Required Skills 6+ years of experience in AI/ML development. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Strong understanding of deep learning architectures (CNNs, RNNs, Transformers). Experience with NLP, computer vision, or recommendation systems. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Skills Experience with large language models (LLMs) and generative AI. Knowledge of data engineering and pipeline development. Publications or contributions to open-source AI projects. Pay range and compensation package Competitive salary based on experience and qualifications. Equal Opportunity Statement We are an equal opportunity employer and are committed to creating a diverse and inclusive workplace. We encourage applications from all qualified individuals regardless of race, gender, age, sexual orientation, disability, or any other characteristic protected by law. Qualification Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.

As a highly skilled Senior Machine Learning Engineer, you will leverage your expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps to design, optimize, and deploy cutting-edge AI solutions. Your responsibilities will include developing and scaling deep learning models, fine-tuning LLMs (e.g., GPT, Llama), and implementing robust deployment pipelines for production environments. You will be responsible for designing, training, fine-tuning, and optimizing deep learning models (CNNs, RNNs, Transformers) for various applications such as NLP, computer vision, or multimodal tasks. Additionally, you will fine-tune and adapt LLMs for domain-specific tasks like text generation, summarization, and semantic similarity. Experimenting with RLHF (Reinforcement Learning from Human Feedback) and alignment techniques will also be part of your role. In the realm of Deployment & Scalability (MLOps/LLMOps), you will build and maintain end-to-end ML pipelines for training, evaluation, and deployment. Deploying LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT is crucial. You will optimize models for low-latency, high-throughput inference and implement CI/CD workflows for ML systems using tools like MLflow and Kubeflow. Monitoring & Optimization will involve setting up logging, monitoring, and alerting for model performance metrics such as drift, latency, and accuracy. Collaborating with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models will also be part of your responsibilities. The ideal candidate will possess 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs. Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks is essential. Experience with model deployment tools like Docker, Kubernetes, and FastAPI, along with knowledge of MLOps/LLMOps best practices and familiarity with cloud platforms (AWS, GCP, Azure) are required qualifications. Preferred qualifications include contributions to open-source LLM projects, showcasing your commitment to advancing the field of machine learning.,

Job Description: As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will be a valuable member of our dynamic team. Your primary responsibility will be to extract valuable insights from complex datasets, develop advanced analytical models, and drive data-driven decision-making across the organization. With 8-14 years of experience, your primary skills should include Data Science, with secondary skills in Data Engineering/Data Analytics. You will play a pivotal role in working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. Your role will involve collaborating with a diverse team of engineers, analysts, and domain experts to build holistic, multi-modal solutions. Your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA will be essential. Additionally, you should have a strong understanding of the model development lifecycle, from data ingestion to deployment, and hands-on experience with SQL and data visualization tools like Seaborn, Matplotlib, and Tableau. Experience in handling retail-specific data, familiarity with cloud platforms like AWS, GCP, or Azure, and exposure to API development (FastAPI, Flask) for ML model deployment will be beneficial. Knowledge of MLOps practices, previous experience in fine-tuning language models, and expertise in Data Engineering using Azure technologies are desirable skills for this role. Key responsibilities will include applying NLP techniques to extract insights from text data, analyzing historical demand data for Time Series Forecasting, and potentially contributing to Computer Vision projects. Collaboration with cross-functional teams and developing scalable ML components for production environments will be crucial aspects of your role. Qualifications required for this position include a Master's degree in Computer Science, Data Science, Statistics, or a related field, proven experience in data science or machine learning, strong proficiency in Python and SQL, and familiarity with cloud technologies like Azure Databricks and MLflow. Excellent problem-solving skills, strong communication abilities, and the capability to work independently and collaboratively in a fast-paced environment are essential for success in this role. Please be cautious of potential scams during the recruitment process, and all official communication regarding your application and interview requests will be from our @hitachisolutions.com domain email address.,

As an AI Developer at our company, you will play a crucial role in the development of advanced AI solutions. Your primary responsibility will involve designing, implementing, and maintaining AI algorithms and models to address complex challenges. Collaboration with data scientists, engineers, and product managers will be essential to deliver innovative AI-driven products. Your key responsibilities will include designing, developing, and deploying various AI algorithms and models encompassing machine learning, deep learning, and natural language processing techniques. Working closely with data scientists, you will also assist in data collection, cleaning, and preparation for AI modeling purposes. Furthermore, you will be tasked with optimizing AI models to enhance their performance and efficiency. It will be imperative for you to stay abreast of the latest advancements in AI and machine learning technologies. Your active participation in the development of AI-powered products and applications will be critical. Additionally, collaborating with cross-functional teams to ensure seamless AI integration across different projects will be part of your routine tasks. To be successful in this role, you should possess a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong programming skills in Python or other relevant languages are essential. Previous experience with machine learning frameworks like TensorFlow, PyTorch, or Keras is highly advantageous. Knowledge of deep learning architectures such as CNNs, RNNs, and Transformers, along with familiarity with natural language processing techniques like text classification and named entity recognition, will be beneficial. Experience with cloud platforms like AWS, GCP, or Azure will be a plus. Excellent problem-solving and analytical skills are crucial for this position. Your ability to work both independently and collaboratively within a team environment will be instrumental in your success as an AI Developer.,