5485 Deep Learning Jobs - Page 35

What Youll Do? Within the ShareChat AI team, we are hiring an experienced Staff Machine Learning Engineer to drive the development of cutting-edge ads prediction models. This IC role is central to our Ads team and will focus on end-to-end ownership of core ML modeling - training, deploying, and improving models that predict key user actions such as clicks, installs, and deeper funnel events like transactions. Beyond this, there are exciting opportunities to deploy ML in the ADs ecosystem like on the network ADs side of things as well as on balancing ad revenue with regression in user experience. This is a high-impact role with direct revenue implications, where experimentation success rates are significantly higher due to our dynamic and fast-paced environment. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and were making big progress at a rapid pace. Who are you? * Design and help develop systems that serve recommendations to over 300 million users * Drive ML roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems * Provide technical guidance in ML model formulation, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics * Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders Preferred Qualifications * Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch * Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines * Deep understanding of the mathematical foundations of Machine Learning algorithms * Direct experience in building and applying large-scale (100M+ users) machine learning solutions for feed ranking, and personalizing recommendations. * You stay up-to-date with the state-of-the-art technology in the domains of recommender systems, data engineering, and machine learning. Relevant publications in top tier applied machine learning conferences is a plus * You have a Masters or PhD in ML, statistics, or an engineering field with 8+ years of experience

Primary Skills Data Science, Python, Machine Learning Mandatory Skills Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills Python, NLP, LLMs, Data Science Must-Have Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts

Nuum X Consulting is a leader in digital transformation, AI-driven solutions, and customer experience innovations. They empower businesses with cutting-edge AI applications to enhance operational efficiency, automate workflows, and drive intelligent decision-making. As a part of the AI innovation team, you will have a significant role in developing and optimizing Generative AI solutions for real-world applications. You will be responsible for designing, developing, and deploying state-of-the-art AI-driven applications that leverage Large Language Models (LLMs), NLP, and Deep Learning. The ideal candidate should have hands-on experience in developing AI-powered applications, fine-tuning pre-trained models, and integrating AI with existing business systems. Your key responsibilities will include building and deploying AI-driven applications using GPT, LLaMA, Falcon, or similar LLMs, fine-tuning pre-trained models for domain-specific tasks, integrating AI solutions into CRMs, automation tools, and cloud-based platforms, creating robust APIs for seamless integration of generative AI capabilities, utilizing tools like FAISS, Pinecone, Weaviate for retrieval-augmented generation (RAG) capabilities, establishing monitoring pipelines for AI model drift and continuous improvement, researching and experimenting with new AI architectures and generative AI innovations, and collaborating with data scientists, engineers, and product teams to ensure seamless AI adoption. To be considered for this role, you should have a Bachelors or Masters Degree in Computer Science, AI, Machine Learning, or a related field, along with 2+ years of experience in AI/ML application development focusing on Generative AI. Proficiency in Python, TensorFlow, PyTorch, Hugging Face Transformers, and LangChain is required. Additionally, experience in LLM fine-tuning, prompt engineering, model optimization, NLP, vector databases, embeddings, and retrieval-augmented generation (RAG) is essential. Hands-on experience with cloud AI services (AWS, Azure, GCP) for model deployment, strong understanding of AI ethics, bias mitigation, and responsible AI development, as well as excellent problem-solving, communication, and collaboration skills are also necessary. Preferred qualifications include experience with MLOps, CI/CD pipelines, and model monitoring, understanding of multi-modal AI (text, image, audio generation), exposure to Reinforcement Learning with Human Feedback (RLHF), and prior experience in AI-driven automation, chatbots, or intelligent assistants. Join Nuum X Consulting for innovative AI projects, growth opportunities, access to AI research and conferences, hands-on learning, and a collaborative culture working with top AI engineers, data scientists, and innovators.,

We are looking for a Computer Vision Engineer to contribute to the development of AI-driven video analytics solutions tailored for extracting detailed cricket data from various sources such as match footage, live broadcasts, and player tracking systems. In this role, you will be utilizing deep learning techniques, pose estimation algorithms, and image processing methodologies to scrutinize player movements, shot selection, bowling mechanics, and overall match dynamics. Your responsibilities will include: - Developing computer vision models geared towards player tracking, ball trajectory prediction, and shot classification within the realm of cricket analytics. - Extracting real-time insights from video streams, encompassing player positions, footwork analysis, and batting/bowling techniques. - Implementing pose estimation techniques (such as OpenPose, MediaPipe, DeepLabCut) to dissect player body movements. - Employing action recognition models to categorize batting strokes, bowling variations, and fielding plays. You will also be involved in: - Applying various deep learning tools like CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. - Developing segmentation models to differentiate between players, umpires, and key match elements like the ball, stumps, and pitch zones. - Utilizing GANs and super-resolution techniques to enhance the quality of low-resolution video footage. - Constructing OCR systems for Optical Character Recognition to extract scoreboards and match statistics from live broadcasts. Additional responsibilities include: - Implementing real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. - Working with multi-angle TV footage and drone feeds to enrich match analysis. - Developing algorithms to ensure low-latency real-time detection of ball speed, swing, and spin. You will also be required to: - Create automated annotation tools for labeling cricket match videos. - Train supervised and unsupervised learning models using cricket datasets. - Collaborate with sports analysts to validate and refine model predictions. Furthermore, your duties will involve: - Deploying computer vision models on edge devices, cloud platforms, and real-time streaming systems. - Optimizing models for high accuracy and low latency in live cricket broadcasts. - Conducting A/B testing and continuous monitoring to enhance model performance. You will also be expected to: - Perform camera calibration for distortion correction and real-world coordinate mapping. - Implement homography transformation and perspective correction for multi-angle alignment. - Apply video trigonometry techniques to calculate player distances, ball speed, angles, and movement trajectories. - Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About the Company: Lifease Solutions LLP believes in the power of design and technology to address challenges and transform ideas into reality. As a prominent provider of software solutions and services, Lifease Solutions is dedicated to delivering innovative and high-quality solutions that drive growth and value for businesses. Headquartered in Noida, India, we specialize in the finance, sports, and capital market sectors, earning the trust of companies worldwide. Our track record showcases our capability to turn minor projects into major successes, and we continuously seek opportunities to help our clients optimize their IT investments.,

You should have strong knowledge in Python, Data Science, and Artificial Intelligence (AI) to develop IEEE based Research projects. As a freelancer, you will be responsible for developing students" research projects in Python and IOS. Additionally, you should have at least one year of experience as a Flutter Developer, working on high-quality mobile/web applications using Flutter and Dart. A good understanding of robust application management and APP architecture is essential. Experience in developing mobile apps natively in iOS and/or Android is required to build state-of-the-art mobile applications for clients locally and abroad. Strong communication and consultative skills are necessary for this role, along with being self-initiated and proactive.,

The AVP, Analytics Customer Insights at Synchrony is a crucial role within the Decision Management SYF Growth team in India Analytics Hub. As an Individual Contributor, you will collaborate closely with both the IAH and US Analytics teams to tackle key business challenges using data-driven solutions. Your responsibilities will revolve around developing AI/ML analytic solutions, particularly focusing on enhancing operational efficiency and delivering exceptional customer experiences by leveraging both structured and unstructured data through advanced techniques like NLP. Your day-to-day tasks will involve acquiring proficiency in various data and analytic tools, leading complex projects across cross-functional teams, from scoping to delivery, and providing actionable recommendations based on data insights. You will be responsible for developing customized AI/ML solutions tailored to business priorities, with a keen focus on improving customer experience by analyzing large-scale data related to customer interactions and feedback. To excel in this role, you should possess a degree in Statistics, Mathematics, Economics, Engineering, or a related quantitative field with at least 4 years of hands-on experience in analytics/data science. Strong familiarity with SQL, SAS, Python, or other programming languages is essential, along with proven leadership skills in driving projects to successful outcomes. Additionally, a good grasp of statistical tests, regression, and USA credit business market dynamics is required. As part of the Analytics team, you will be expected to work independently, generate innovative ideas with significant business impact, and communicate effectively with team members and stakeholders. Adeptness in NLP, AI/ML techniques, Deep Learning architecture, and cloud environments like AWS are desirable skills that can further enhance your performance in this role. This position offers Enhanced Flexibility and Choice, with work timings anchored between 06:00 AM to 11:30 AM Eastern Time for meetings with India and US teams, while allowing flexibility for the remainder of the workday. Eligibility criteria include a minimum of 18 months in the organization for L8+ Employees applying internally, with no ongoing corrective action plans. If you meet these requirements and are ready to take on a challenging yet rewarding role in the field of Data Analytics, we encourage you to apply and contribute to Synchrony's mission of driving business growth through data-driven insights and solutions.,

As an AI/ML Technologist at Intel, you will focus on leveraging advanced capabilities in Deep Learning, Generative AI, and Agentic AI to revolutionize traditional manual validation and debug processes. Your primary goal will be to transform these processes into fully automated, intelligent systems that aim to reduce human intervention, enhance accuracy, and scale validation workflows to meet increasing demands. Working closely with internal validation teams and Intel Labs, you will deliver AI-based modernization of system integration and validation solutions for client products execution. It will be crucial for you to research technical trends, utilize deep domain knowledge, and expertise to prototype solutions, and develop AI software using open-source libraries and models. Your role will also involve optimizing the performance of AI models through a deep understanding of AI frameworks, algorithms, models, and related hardware. You will lead the development of self-reasoning systems for improved test case generation, enhance fault resolution quality, create AI-assisted debugging solutions for both internal and customer issues, and build automated recommendation systems. Analyzing and elevating the overall customer experience will be essential for long-term success. By integrating AI into the organization, you will contribute to delivering higher quality products and solutions. To be successful in this role, you should have a minimum of a Bachelor's degree with 12+ years of experience or a Master's degree with 10+ years in Computer Science, Data Science and Engineering, Electronics or Electrical Engineering, Applied Mathematics, or related technical disciplines. Strong programming skills in Python and the capability to debug complex asynchronous systems are required. Your machine learning expertise should include in-depth knowledge of techniques such as regression, classification, LDA, Naive Bayes, Logistic Regression, and SVM. You should also have a solid understanding of Deep Learning techniques, algorithms, and tools, including experience with CNN, RNN (LSTM), Transformers (BERT, BART, GPT/T5, Megatron, LLMs), Retrieval-Augmented Generation (RAG), and LLM-based applications. Familiarity with various prompt techniques and hands-on experience with large language model (LLM) agentic pipelines are essential. Experience with databases and tools such as SQL, MongoDB, Graph DB, and Elastic Search in native AI applications is preferred. You should also have proven experience in deploying and maintaining high-scale AI-based systems, understanding scalable deployment involving LLM-driven RAG and Agent applications in a production environment, and familiarity with Docker, Helm, Kubernetes, etc. Experience with the end-to-end software lifecycle, release packaging, and CI/CD pipeline will be advantageous. Preferred skills include a good understanding of Computer Architecture and x86 architecture, experience in Platform Software Development and Validation, and excellent written and oral communication skills. You should be able to clearly communicate technical details and concepts effectively. The Client Computing Group (CCG) at Intel is responsible for driving business strategy and product development for Intel's PC products and platforms. As part of this group, you will work towards delivering purposeful computing experiences that unlock people's potential, allowing each person to focus, create, and connect in ways that matter most to them. CCG is investing heavily in the PC, ramping its capabilities aggressively, and designing the PC experience deliberately. This role will be eligible for a hybrid work model, allowing employees to split their time between working on-site at the assigned Intel site and off-site. Please note that job posting details such as work model, location, or time type are subject to change.,

You will be part of a dynamic team as an AI Engineer / Computer Vision Engineer, contributing to the development of cutting-edge technology solutions. Your primary focus will be on leveraging your expertise in AI and computer vision to create algorithms and models tailored for real-time applications in industrial environments. Your responsibilities will include developing and implementing AI and computer vision algorithms specifically designed for defect detection and classification. You will be working extensively with large datasets to train, validate, and optimize machine learning models. Collaboration with cross-functional teams will be essential to seamlessly integrate AI solutions into industrial systems. Staying abreast of the latest advancements in AI and computer vision technologies is crucial for this role. Additionally, you will be responsible for deploying AI models to production environments, monitoring their performance, and refining algorithms to enhance accuracy and efficiency. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. A strong background in machine learning, deep learning, and computer vision techniques is essential. Proficiency in AI frameworks like TensorFlow, PyTorch, and computer vision libraries such as OpenCV is required. Additionally, you should be adept in programming languages such as Python, C++, or similar. Strong analytical skills, problem-solving abilities, and excellent communication skills are key attributes for success in this role. Preferred qualifications include prior experience in industrial automation or machine vision systems, familiarity with edge computing and deploying AI models on hardware devices, and knowledge of cloud platforms and AI deployment tools. In return, you can expect a work environment that prioritizes work-life balance in a clean city, opportunities for continuous learning and career advancement, collaboration with industry experts in AI, computer vision, and industrial automation, and the chance to make a significant impact on the nation's factory efficiency. This is a full-time position with benefits such as Provident Fund. The work schedule is during day shifts, and additional incentives include performance bonuses on a quarterly and yearly basis. Please note that this is an in-person work opportunity.,

You should have hands-on experience in big data processing, mining, and visualization. Design and develop deep learning systems using frameworks like TensorFlow and PyTorch. Efficiently plan and continuously improve existing systems. Provide team mentorship and excel in innovating, scaling, adapting, addressing data drift, and improving system performance. Research and apply advanced AI/ML techniques, including Generative AI models (e.g., GPT, LLaMA) and NLP architectures. Experience in on-premises/Hadoop ecosystem is essential. For Principal Data Engineering roles, a minimum of 13+ years of experience is required, while for Data Engineering roles, 5+ years of experience is necessary. Proven expertise in AI/ML, NLP, and proficiency in Python, Java, Pyspark, Apache Spark, Hadoop, Cassandra, TensorFlow, PyTorch, Scikit-learn, Django, Flask, Numpy, and Pandas are expected. Knowledge of data structures, SQL, MongoDB, multi-threading, RESTful APIs, and Power BI for data visualization is crucial. Familiarity with networking, post-production support, and lifecycle management of ML systems is beneficial. Exceptional problem-solving skills, strong leadership capabilities, and excellent communication skills are required. A strong understanding of statistics, probability, algorithms, and optimization techniques is essential. Experience deploying ML applications on GCP, Azure, or AWS is preferred.,

RichestSoft is seeking a skilled Python Developer with experience in AI/ML, Web Scraping, and Deep Learning to join our dynamic team. As a Python Developer at RichestSoft, you will be responsible for developing and maintaining Python-based applications focusing on AI/ML models, deep learning, and data scraping. Your role will involve building, training, and deploying machine learning and deep learning models for various business applications, optimizing algorithms for web scraping, and integrating AI/ML models with existing systems for efficient operation. You will work with large, complex datasets to build scalable and effective AI models, collaborate with cross-functional teams to design data-driven solutions, and stay updated on the latest trends in AI, ML, web scraping technologies, and deep learning. Additionally, you will optimize and enhance the performance of existing Python code and models, as well as assist in writing technical documentation for AI/ML solutions, tools, and processes. The ideal candidate will have proven experience in Python development, with a focus on AI/ML, web scraping, and deep learning. Proficiency in web scraping tools and frameworks like BeautifulSoup, Scrapy, and Selenium, along with strong experience in machine learning libraries such as TensorFlow, PyTorch, Scikit-Learn, and Keras is required. A solid understanding of deep learning concepts and frameworks, proficiency in data manipulation using libraries like Pandas and NumPy, and experience with cloud platforms for AI/ML model deployment are highly desirable. Candidates should also possess familiarity with database systems, version control systems, and API integration, along with excellent problem-solving and analytical skills. The ability to work independently and in a team environment, strong communication skills, and the capability to document technical processes are essential for this role. Preferred qualifications include experience in NLP, Computer Vision, or other specialized AI fields, deploying machine learning models in production environments, and knowledge of Docker, Kubernetes, and DevOps practices for AI/ML. Educational requirements include a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience. This is a full-time position with benefits, offering a flexible schedule and an in-person work location during day and morning shifts. Applicants are required to provide details of their current and expected salary, as well as their availability for immediate joining. The role requires at least 1 year of experience in Python. Join RichestSoft and be part of a team that is passionate about building intelligent systems and solving real-world problems through AI, ML, and deep learning technologies.,

The role based in Gurgaon involves being a part of the data science team, collaborating closely with business analysts and the technology team to deliver the Data Science aspect of projects and products. Your responsibilities will include conducting data exploration to solve specific problems, researching suitable methods for solutions, setting up machine learning processes tailored to project requirements, contributing to the development of a Data Science platform, coding solutions, explaining concepts to clients, integrating Data Science solutions with technology, as well as data cleaning and structuring. The nature of your work will vary based on the project stage, available engagements, and your individual skill set. To excel in this position, you should have a minimum of 2-6 years of experience in Machine Learning, including deep learning methods, algorithm design, analysis, development, and performance enhancement. You must possess a strong grasp of statistical and predictive modeling concepts, machine learning techniques, clustering, classification, regression, and recommendation algorithms. Familiarity with Time Series Analysis, optimization techniques, and working with solvers for MILP and global optimization is essential. You are expected to have practical experience in exploratory data analysis, feature design and development, as well as applying and evaluating ML algorithms in predictive modeling scenarios across various industries such as FMCG, Media, E-commerce, and Hospitality. Proficiency in Python is a must, and familiarity with PySpark is advantageous. You should be able to write production-ready code with reusable components, adhere to coding standards and best practices, design data science architectures for solution repeatability, manage the entire cycle from data preparation to client presentations, and work comfortably on AWS, including managing data science servers. As a team player with excellent communication and interpersonal skills, you should also have a good understanding of Natural Language Processing and its applications. The desired skills for this role include Machine Learning (ML), Natural Language Processing (NLP), Python, and Data Science.,

As a Computer Vision Engineer, you will be responsible for developing novel algorithms to address complex 3D computer vision and Augmented Reality challenges, ultimately enhancing the user experience of Mobile Camera. Your primary focus will be on creating solutions related to multi-view geometry, demonstrating a deep understanding and adept debugging skills in camera ISP. You will leverage your expertise in Signal Processing, Computer Vision, Machine Learning, and Deep Learning to craft innovative ideas that continuously improve and optimize the solutions for end-users. To excel in this role, you should hold a B.Tech/M.Tech degree in Electronics/Computer Science and possess a minimum of 4 years of hands-on work experience in Computer Vision, Image Processing, Signal Processing, or Machine Learning domains. Proficiency in Python, C++, and Linux is essential, along with a strong command over data structures and algorithms. Knowledge of embedded realization of ML models would be advantageous, and prior exposure to Deep Learning frameworks like Tensorflow/Pytorch is desirable. Your responsibilities will include extensive quality evaluation and regression testing of the developed solutions to ensure they meet rigorous quality standards. You will actively engage in design discussions to contribute to the end-to-end development process and adhere to agile practices, including participating in regular code reviews. By joining our team, you will have the opportunity to work on cutting-edge technologies and play a pivotal role in shaping the future of Mobile Camera innovations.,

As an AGI Research Intern at Boaient, you will have the opportunity to contribute to the shaping of the future of Artificial General Intelligence (AGI) for elderly care. Boaient is a pioneer in AI technology for senior citizens, with a focus on developing innovative solutions that enhance the lives of seniors. We have successfully created a specialized language model and are now venturing into the realm of AGI to further revolutionize the field. We are seeking passionate postgraduates (MS/MTech/PhD - final year or completed) to join our AGI research team for a 6-month internship period. Candidates residing in India are eligible to apply. Ideal candidates will have a background in Computer Science, Artificial Intelligence, Robotics, Cognitive Science, or a related technical field, with a strong understanding of machine learning and deep learning concepts. As an AGI Research Intern, you will be involved in conducting in-depth research on AGI advancements, contributing to strategic planning for integrating AI with physical devices, prototyping and experimenting with novel AGI approaches, analyzing and presenting research findings, collaborating with interdisciplinary teams, and documenting knowledge for AGI initiatives. This internship goes beyond just gaining experience; it offers the chance to work alongside experienced researchers, contribute directly to defining Boaient's strategic roadmap in AGI, and address the ethical and technical challenges of developing intelligent systems. If you are passionate about AGI, robotics, and human-computer interaction, and possess exceptional communication and problem-solving skills, we encourage you to apply. To apply for this exciting opportunity, please send your resume and a brief cover letter outlining your interest in AGI for elderly care to Info@boaient.com. Join us at Boaient and be part of shaping the future of AGI for elderly care!,

As the Lead algorithm engineer, you will be responsible for mentoring and guiding a team of algorithm engineers to ensure their professional growth and success. Your role will involve developing and maintaining infrastructure to deploy and execute algorithms at scale. Collaborating with data scientists, software engineers, and product managers, you will design and implement robust and scalable algorithmic solutions. It will be imperative to optimize algorithm performance and resource utilization to meet business objectives. You must stay updated with the latest advancements in algorithm engineering and infrastructure technologies to enhance our systems continuously. Additionally, driving improvements in development processes, tools, and methodologies will be a key aspect of your role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Your experience should include developing computer vision and image processing algorithms and ML/DL algorithms. Proficiency in programming languages like Python, C++, and CUDA is essential. Strong leadership and team management skills are necessary, along with proven experience in leading engineering teams. Excellent problem-solving, analytical, communication, and collaboration skills are also required. Preferred qualifications include experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn. Familiarity with GPU architecture and algorithm development toolkits like Docker and Apptainer will be advantageous. Minimum qualifications for this role include a Bachelor's degree with at least 8 years of experience or a Master's degree with 8+ years of experience. A Ph.D. with 6 years of industry experience, an M.Tech with 8 years of experience, or a B.Tech with 10 years of experience will be considered. You should have a minimum of 3 years of experience working as a Manager, not just as a Lead. A minimum of 8 years of experience in programming languages such as Python, C++, or CUDA, as well as expertise in Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, and Image Processing, is required. It is mandatory to have experience working in a product company. Candidates from Tier 1 colleges like IIT, IIIT, VIT, NIT have a higher chance of selection. Good stability in previous organizations, with a minimum of 2 years in one organization, is necessary. Candidates should not be currently employed at HCL, and relocation to Chennai is mandatory. Additional guidelines include an interview process consisting of 3 Tech rounds, a Fitment round, and an HR round. Relocation expenses are available, and there is an option for 3 days of working from the office. Candidates from Semicon or manufacturing companies, those with more than 8 CPGA, and those with experience in product companies, Semicon, or electrical/HW manufacturing companies are preferred. Candidates who meet the requirements and are willing to relocate can apply from anywhere, including international candidates.,

NTT DATA strives to hire exceptional, innovative, and passionate individuals who want to grow with the organization. If you aspire to be part of an inclusive, adaptable, and forward-thinking team, we encourage you to apply now. We are currently seeking a Business Consultant to join our team in Bengaluru, Karnataka, India. **Python Lead Developer** **Key Responsibilities:** - Lead a team of developers through all phases of the software development lifecycle. - Provide technical guidance and mentorship to junior team members. - Design and develop high-performance, reliable, and scalable banking applications using Python. - Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. - Utilize cloud technologies (e.g., AWS, Azure, Google Cloud) to build and deploy applications. - Ensure applications are optimized for cloud environments and adhere to best practices for security and performance. - Implement unit testing, integration testing, and end-to-end testing to ensure software quality. - Conduct code reviews to maintain code quality and promote best practices. - Manage project timelines, resources, and deliverables. - Communicate effectively with stakeholders to report on project progress and resolve any issues. - Stay updated with the latest industry trends and technologies to continuously improve the development process. - Propose and implement enhancements to existing systems and processes. **Required Skills and Qualifications:** - 4+ years of overall experience in technology. - Solid understanding of Generative AI, Machine Learning, and Deep Learning algorithms. - Experience in implementing at least 2 E2E Gen AI-based projects. - Experience in building RAG applications. - Experience with using AWS services like Lambda, Bedrock, and Sage. - Experience with Langchain, LlamaIndex, Vectors DBs (Open Search, etc.). - Proficiency in a minimum of 2 programming languages such as Python, R, and experience with machine learning platforms and libraries like TensorFlow, PyTorch, Keras, or similar. - Experience with natural language processing libraries such as SpaCy, NLTK, or Stanford CoreNLP. - Experience with Computer vision libraries such as OpenCV, Pillow, or Similar. - Strong experience with cloud technologies (AWS, Azure, or Google Cloud). - Familiarity with database management systems (e.g., PostgreSQL, MySQL, MongoDB). - Knowledge of version control systems like Git. - Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills. - Ability to work collaboratively in a team environment. *Note: This job description is intended to provide a general overview of the position and does not encompass all the duties and responsibilities of the role.* About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. Serving 75% of the Fortune Global 100, we are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. We are one of the leading providers of digital and AI infrastructure globally. NTT DATA is part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

As a Python Intern specializing in AI at our Bhopal, Madhya Pradesh office, you will have the opportunity to work on various AI/ML projects for a duration of 3 to 6 months. Your role will involve utilizing your skills in Core Python programming, Python libraries for AI/ML, AI/ML fundamentals, data preprocessing, Jupyter Notebook proficiency, version control using Git, and more. In terms of Core Python programming, you should be well-versed in functions, loops, list comprehensions, classes, error handling, logging, file I/O operations, and working with JSON/CSV files. Additionally, familiarity with Python libraries such as numpy, pandas, matplotlib, seaborn, and scikit-learn is essential for data manipulation, analysis, and visualization. A good understanding of AI/ML fundamentals including supervised and unsupervised learning, concepts of overfitting, underfitting, and bias-variance tradeoff, as well as evaluation metrics like accuracy, precision, recall, F1-score, and confusion matrix is required. You should also be proficient in data preprocessing techniques such as handling missing data, outliers, normalization, encoding, feature selection, and dimensionality reduction. Your ability to work with Jupyter Notebooks to write clean, well-documented notebooks, use markdown for explanations, and visualize outputs will be crucial. Proficiency in version control using Git for basic operations and collaborating on GitHub/GitLab will also be expected. While not mandatory, having good-to-have skills in Deep Learning, Generative AI, NLP, tools & platforms like VS Code, JupyterLab, Google Colab, Kaggle, Docker, and a strong foundation in Math for AI will be beneficial for your role. Soft skills such as participation in mini-projects, Kaggle competition experience, clear communication of model outputs, and documenting findings will further enhance your profile. This position offers a full-time internship opportunity with a day shift schedule and in-person work location. If you are passionate about AI and Python programming with a keen interest in machine learning, this role will provide you with hands-on experience and learning opportunities in the field.,

The ideal candidate for this role should have experience as an AI Technical Lead or Architect with a strong working knowledge of machine learning, deep learning, and natural language processing (NLP) techniques. Proficiency in programming languages such as Python, Java, or C is required. Familiarity with cloud computing platforms like AWS, Azure, and Google Cloud is also necessary. The preferred domains for this position include Connectivity, I.40, Automotive, Embedded, VLSI, and Hardware. Candidates with an educational background of BE, BTech, MTech, ME, or MCA are encouraged to apply. The candidate should be able to join within a notice period of 0-45 days and should be open to working in either Pune or Bangalore. If you meet these qualifications and are passionate about AI and technology, we encourage you to apply by sending your resume to career@krazymantra.com.,

We at Blackstraw.ai. are organizing a Walk-in Interview Drive for Data Scientist with minimum 4 years exp in Data Scientist Mini 4 Years Exp in Computer Vision, NLP and Predictive analytics solutions for various types of business problems. MLOps Mini 4 Years Strong experience in MLOps ; Python, Azure ML pipelines, LLMs, Docker & Kubernetes , CICD for ML deployment Job Requirements Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 5 plus years total experience with minimum of 3 years of experience in a related position, as a data scientist or business analyst building Computer Vision, NLP and Predictive analytics solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++ Strong individual planning and project management skills, able to juggle multiple tasks and priorities. Self-motivated and driven to deliver agreed results on-time Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience Strong influence and relationship management skills. Key traits: Should have excellent communication skills. Should be self-motivated and willing to work as part of a team. Should be able to collaborate and coordinate in a remote environment. Be a problem solver and be proactive to solve the challenges that come his way. Important Instructions: Do carry a hard copy of your resume, one passport photograph, along with a government identity proof for ease of access to our premises. *Please note: Do not carry any electronic devices apart from your mobile phone at office premises.* *Kindly fill up below form to submit you registration form: https://forms.gle/YkjtNjfj4ufHw9ug9 Preference will be given for Immediate Joiners or who can join within 10-15 days.

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.,

As a Software Engineer at Google, you will play a vital role in developing cutting-edge technologies that shape how billions of users connect, explore, and engage with information and each other. The scope of our products transcends beyond web search, requiring solutions that operate at massive scale. We seek innovative engineers who can contribute fresh perspectives across various domains, including information retrieval, distributed computing, system design, networking, security, artificial intelligence, natural language processing, UI design, and mobile technology. Your responsibilities will involve working on pivotal projects essential for Google's operations, with the flexibility to switch between teams and projects as both you and the dynamic business landscape evolve rapidly. We value engineers who demonstrate versatility, leadership skills, and a proactive approach to tackling new challenges across the entire technology stack. In this position, your primary focus will be on addressing the data, reporting, and analytics requirements of Google employees. You will lead impactful initiatives to develop data management and investigative solutions for our partners within Google, design and maintain logical and physical database structures, and uphold data integrity by implementing robust security measures to ensure the highest levels of confidentiality. Collaborating with internal teams, you will design and implement solutions to streamline internal business processes, adhere to best development practices, integrate third-party products with internal systems, and deliver technical solutions encompassing design, development, configuration, testing, issue resolution, and the creation of clean, modular code that is sustainable in the long term. At Corp Eng, we are dedicated to building enterprise solutions that enhance Google's accessibility for all users. As the IT arm of Google, we provide comprehensive solutions for various organizations within the company. With an inclusive approach, we deliver tailored tools, platforms, and experiences to empower all Google employees in creating more user-friendly products and services for the global community. In essence, we are Google's support system for its own employees. Your responsibilities will include: - Developing data integration and pipeline solutions using technologies like Kafka, Spark, Airflow, or similar tools. - Collaborating effectively across different Product Areas, fostering relationships, and achieving shared goals.,

As an AI Engineer at ManMukt, a pioneering organization dedicated to transforming mental healthcare through innovative AI solutions, you will play a crucial role in developing and implementing AI models specific to mental health applications. Your expertise will contribute to creating accessible, personalized, and effective digital health tools that aim to make quality mental healthcare available to everyone, everywhere. Your responsibilities will include designing, developing, and deploying sophisticated machine learning and deep learning models tailored for mental health, as well as leading the development of natural language processing systems to understand emotional and psychological contexts. You will also be involved in creating predictive models for early detection and intervention of mental health concerns, collaborating with clinical experts, optimizing algorithms, and implementing data privacy and security protocols for sensitive health information. Furthermore, you will lead technical discussions with stakeholders, mentor junior AI engineers and data scientists, stay updated with emerging research in AI applications for mental health, and contribute to the development of ethical frameworks for AI in healthcare settings. To qualify for this role, you should hold a Bachelor's degree in Computer Science, AI, Machine Learning, or a related field, with 5-6 years of professional experience in AI/ML engineering roles, including at least 3 years specifically in mental health or healthcare technology. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, expertise in NLP techniques and emotional sentiment analysis, as well as strong communication skills to translate technical concepts to non-technical stakeholders are essential. Preferred qualifications include experience with multimodal AI systems, knowledge of digital phenotyping, familiarity with privacy-preserving ML techniques, experience with EHR systems, and a publication record in mental health technology or related fields. At ManMukt, you will have the opportunity to work on meaningful AI applications that directly improve mental healthcare, along with competitive salary and benefits, flexible remote work options, continuous learning opportunities, and a collaborative, innovative team environment. Join us in shaping the future of AI applications in mental healthcare. To apply for this position, please submit your resume, a cover letter emphasizing your relevant experience in mental health AI, and any relevant portfolio items or publications to info@manmukt.in with the subject line "AI Engineer - Mental Health". ManMukt is an equal opportunity employer dedicated to fostering a diverse and inclusive team, welcoming applications from candidates of all backgrounds, particularly those underrepresented in technology and healthcare.,

We are looking for an AI Developer specializing in Gen AI Deep Learning and NLP to join our team and contribute to the development of AI-powered applications. As an AI intern with expertise in point cloud, you will collaborate closely with our development team to explore, devise, and execute AI algorithms for point cloud data processing and analysis. Your responsibilities will include developing and deploying cutting-edge models in Computer Vision, Deep Learning, NLP, and Gen-AI for various organizational applications. You will be engaged in advanced data pre-processing, cleaning, and extraction for diverse data types such as images, texts, and genomic data. Working alongside multidisciplinary teams, you will craft AI-driven solutions tailored to meet the business requirements. Additionally, you will be responsible for architecting and overseeing machine learning pipelines for a range of AI tasks, continuously refining and optimizing models to ensure peak performance and scalability. To excel in this role, you must stay abreast of the latest advancements in AI, Computer Vision, NLP, and GENAI research and adeptly translate these innovations into practical solutions. Furthermore, you will be expected to deliver impactful data visualizations and insights to stakeholders, mentor junior data scientists, and uphold a culture of excellence and collaboration within the team. Rigorous documentation of research, methodologies, and insights is essential to foster knowledge growth within the team, along with championing best practices and standards across AI domains within the company. Requirements: - Bachelor's or Master's degree in Computer Science or related fields. - At least 2 years of hands-on experience in AI disciplines, with a focus on deep learning techniques. - Proficiency in programming languages like Python and familiarity with AI libraries such as TensorFlow, PyTorch, and sci-kit-learn. - Comprehensive understanding of NLP techniques (e.g., LLMs, Chatbots), Computer Vision (e.g., object detection, image segmentation, Image generation), and generative AI. - Experience with cutting-edge NLP, computer vision, deep learning, and relevant generative AI models. - Strong grasp of ML methodologies, statistical analyses, and data interpretation. - Ability to handle and process large datasets, with expertise in data pre-processing and transformation. - Exceptional problem-solving skills, thriving in both independent and collaborative environments. - Proficient communication skills, capable of explaining complex technical details to diverse audiences. - Demonstrated track record of deploying AI solutions to solve tangible business challenges. If you meet all the specified requirements, we encourage you to apply for this exciting opportunity.,

Job Title: Senior Data Scientist We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at . Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. What You Will Do: As a Senior Data Scientist, you will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our team's use cases include but are not limited to threat detection, threat hunting, malware detection and anomaly detection, and MLOps. You will work with other Senior Data Scientists in the team to execute data science projects. You will identify issues with models running in production and resolve them. This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines. These models will be integrated into popular products of the company to show maximum impact. About You: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both Passion for leveraging ML/AI to solve real-world business problems 4-7 years of industry experience in one or more machine/deep learning frameworks 4-7 years of industry experience with Python/Pyspark and SQL Experience solving multiple business problems using Machine Learning Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as MLFlow) Should be able to drive end-to-end machine learning project with limited guidance Solid computer science foundation Good written and verbal communication Ph.D in Cyber Security/Machine Learning or related field will be an added advantage 4-7 years of industry experience in the field of Data Science/Machine learning Prior experience in solving cyber security problems using machine learning Familiarity with Security Domain will be a plus

About The Role Job Title - GN - SONG - Service Nice CX One - Analyst Management Level: 11-Analyst Location: Bengaluru, BDC7A Must-have skills: Contact Center Operations Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture Strategy & Consultings Customer, Sales & Service practice. The Practice A Brief Sketch The Strategy & Consulting Global Network Song practice is aligned to the Global Network Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will work on transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following Use cross domain functional exposure: Experience in contact center and overall customer service area, working in high-paced and complex projects and understanding industry specific Customer Service processes, operations and functional needs. Deploy thorough skills to manage stakeholder expectations: Engage in resolving issues, risks for the success of the project, possess a strong and well-established record of accomplishment in designing and delivering customer interaction solutions across various interaction channels (IVR, web, email, chat, SMS, Social Media etc...) Apply application design and development experience: Knowledge of implementing the orchestration platform of Contact Center Solution preferably in Fortune 500 companies with sophisticated customer interaction operations, leading Self-Service vendor organizations, or leading consulting firms. Deep dive with leading-edge expertise in implementing multichannel: Experience across IVR, Callback, Web, Email, Chat, SMS, Social Media etc. contact center applications using Contact Center Solution tools. Maximize thorough understanding of Contact Center Solution Framework: Integration with internal and external components, API integrations, understanding of Java, WebServices, Containerization (Kubernetes), deep knowledge of multiple contact center and speech recognition vendor platforms including hands-on experience with products. Bring your best skills forward to excel at the role: Experience across functional and technical Voice and Non-Voice solutions: SMS, Email, Chat, web etc. applications solutions using application development tools. Experience and knowledge of Contact Center Solution Infrastructure Components :Those around routing, reporting, recording, multi-media (SMS, email, chat) WhatsApp, outbound, callback & inbound IVR solutions, chatbot, voice Bot Knowledge of Web Integration with Orchestration applications :Use AI and Natural Language processing (NLU Engines), knowledge of cutting-edge technologies including chat and voice Bot, AI, RPA Experience in auxiliary systems: Including WFM, Recording, Virtual Hold, Quality Management will be a plus. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. Whats in it for you An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Our Company | Accenture Qualification Experience: 3 to 5 Years Educational Qualification: B.Com

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Masters degree with 3+ years of experience, OR Bachelors degree with 4+ years of experience.