1513 Deep Learning Jobs - Page 30

Requirement Role: ML Engineer/Data Scientist Experience: 3 to 15 Years Job Description: Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability.. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning.

Role - Machine Learning Engineer Required Skills & Experience 5+ years of hands-on experience in building, training, and deploying machine learning models in a professional, production-oriented setting. Demonstrable experience with database creation and advanced querying (e.g., SQL, NoSQL), with a strong understanding of data warehousing concepts. Proven expertise in data blending, transformation, and feature engineering , adept at integrating and harmonizing both structured (e.g., relational databases, CSVs) and unstructured (e.g., text, logs, images) data. Strong practical experience with cloud platforms for machine learning development and deployment; significant experience with Google Cloud Platform (GCP) services (e.g., Vertex AI, BigQuery, Dataflow) is highly desirable. Proficiency in programming languages commonly used in data science (e.g., Python is preferred, R). Solid understanding of various machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction) and experience with advanced techniques like Deep Learning, Natural Language Processing (NLP), or Computer Vision . Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch ). Familiarity with MLOps tools and practices , including model versioning, monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) pipelines. Experience with containerization technologies like Docker and orchestration tools like Kubernetes for deploying ML models as REST APIs. Proficiency with version control systems (e.g., Git, GitHub/GitLab) for collaborative development. Interested candidates share cv to dikshith.nalapatla@motivitylabs.com

" About Us : We are an innovative company revolutionising retail checkout experiences by replacing traditional barcodes with cutting-edge Computer Vision technology. Our platform enables seamless, faster, and smarter checkout processes, enhancing the shopping experience for both retailers and consumers. Were growing rapidly and are looking for an experienced Android/Cross-Platform App Developer to join our team and help us build the future of retail technology. Key Responsibilities: Lead the research, design, and development of advanced computer vision models for tasks like object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. Translate business needs into scalable scientific solutions using state-of-the-art deep learning and classical computer vision techniques. Design and implement experiments to evaluate performance, robustness, and accuracy of CV models in real-world production scenarios. Collaborate with cross-functional teams including software engineering, product, and data teams to integrate vision models into applications Drive innovation through internal IP generation (patents, publications) and contribute to the long-term AI/ML roadmap. Provide scientific and technical leadership, mentoring junior scientists and reviewing designs and architectures. Stay up to date with latest developments in AI, deep learning, and computer vision through academic and industrial research.e with industry best practices and emerging technologies to drive continuous improvement. Qualifications: M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with specialization in Computer Vision or Machine Learning. 5+ years of hands-on experience in building and deploying production-grade computer vision models. Strong theoretical background and applied experience in deep learning frameworks (e.g., PyTorch) and model architectures (e.g., CNNs, Vision Transformers, Diffusion Models). Experience in working with large-scale datasets, training pipelines, and performance evaluation metrics. Proficiency in Python and scientific computing libraries (e.g., NumPy, OpenCV, scikit-learn). Experience with model optimization for edge deployment (ONNX, TensorRT, pruning/quantization) is a strong plus. Strong written and verbal communication skills, with a track record of mentoring and collaboration. Preferred Qualifications: Experience with computer vision in real-time systems (e.g., AR/VR, robotics, automotive, surveillance). Published research papers in top-tier conferences (CVPR, ICCV, NeurIPS, etc.). Exposure to MLOps or ML model lifecycle in production environments. Familiarity with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes) and basic bash scripting.

Reading research papers and implementing state-of-the-art techniques Rapidly extending publicly available code modules to work on custom problems Software development of machine learning back-end Rapid experimentation, analysis, and deployment of machine/deep learning models Training and testing deep learning models at scale Working on cutting-edge technology in object detection, object tracking, OCR in natural scenes, image classification, video analysis, and many more exciting techniques that form the basis of AI (artificial intelligence). Skills Required: Hands-on experience in deep/machine learning for computer vision of 2+ years (extensive experience OpenCV, PyTorch, Tensorflow) Hands-on experience in Python with 2+ years of in-depth system building experience Smart programmers with strong analytical skills Job Perks: Work on a problem that will have positive impact on millions of users Work with experienced computer scientists Lively and highly collaborative environmen

Senior Engineer-NLP: Elevate Your Impact Through learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. A bout Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time What were Looking for At least a bachelors /master`s degree in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement About 38 years of experience in NLP, ML, and DL More than one year of experience in generative AI application development at the production level Demonstrated ability in developing NLP / ML / DL / generative AI project solutions here Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Huggingface Transformers Expert-level programming experience in Python / C++ Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely Understanding of the cultural differences and work styles in a global environment Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative referencefor the tasks you may be required to perform. However, it does not constitutean integral component of your employment agreement and is subject to periodicmodifications to align with evolving circumstances.

Access experts across industries for maximum learning opportunities including Weekly Knowledge Sharing Sessions, LinkedIn Learning, and more Gain exposure to a rich variety of research techniques from knowledgeable professionals Enjoy a remote first/hybrid work environment with a flexible schedule Obtain insights into the needs and challenges of your clientsto learn how the worlds leading brands use research Experience peace of mind working for a company with a commitment to conducting research ethically Build lasting relationships with fun colleagues in a culture that values each person Role Overview: As a Machine Learning Engineer at Escalent in India, you will be part of an award-winning data analytics and advisory firm In this role, you will be responsible for providing front-line support for products and services, handling service requests within SLAs, monitoring and resolving issues, and acting as a team specialist in specific areas of IT support and products Roles & Responsibilities: Collaborating with data scientists, software engineers, and business stakeholders to understand complex problem domains and define machine learning requirements and objectives Creating AI algorithm prototypes based on project specifications Engineering and extracting relevant features from the data to enhance model performance and accuracy Implementing changes to algorithms to improve AI performance Troubleshooting and addressing problems with deployed AI to improve user experience Documenting all steps in the development process Remaining up to date on the latest innovations in machine learning Required Skills: Deep knowledge of Python programming and experience with deep learning frameworks 6-8 years of experience in software design, development, and algorithm related solutions 3+ years of relevant machine learning experience including machine learning, optimization algorithms, deep-learning techniques Ability to diagnose technical problems, debug code, and automate routine tasks Understanding of the Agile methodology Ability to work in a team setting Organizational and time management skills Desirable skills: Experience with Azure cognitive services and OpenAI APIs Strong technical background & Strategic thinking Effective skills in written and verbal communication Explore our Careers and Culture page to learn more about the people behind the brand: https://escalent co/careers-and-culture/ Show more Show less

Job Overview: We are seeking an accomplished Generative AI candidate to spearhead the development, implementation, and optimization of Generative AI solutions. Primary Skill Set:Generative AI Expertise: Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures. Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Technical Proficiency: Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings Computer vision: Convolutional neural networks, recurrent neural networks, object detection Robotics: Reinforcement learning, motion planning, control systems Data ethics: Bias in machine learning, fairness in algorithms Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. LLM Pipeline Creation: Strong experience in designing data pipelines, including data preprocessing, feature extraction, and model integration. Familiarity with best practices for creating efficient and scalable pipelines. Secondary Skill Set:Software Development: Proficiency in software development practices, version control systems (e.g., Git), and collaborative coding environments. Understanding of agile methodologies is advantageous. Testing and Deployment: Familiarity with testing methodologies for AI models, including unit testing, integration testing, and model validation. Experience in deploying models to production environments. Workflow Optimization: Knowledge of workflow optimization techniques and tools to enhance development speed and efficiency. Understanding of CI/CD (Continuous Integration/Continuous Deployment) principles. Responsibilities: Prompt Engineering: Spearhead the design and development of prompt engineering strategies to influence and control the output of Generative AI models. Optimize prompts for desired results. Pipeline Design: Design end-to-end data pipelines that encompass data preprocessing, feature engineering, model training, and deployment. Ensure pipelines are efficient, scalable, and well-documented. Technical Review: Review the technical outputs generated by the team, including code, models, and pipelines. Ensure high-quality and maintainable solutions that adhere to best practices. Testing and Validation: Implement testing methodologies to validate the performance and accuracy of Generative AI models. Develop and execute unit tests, integration tests, and validation strategies. Deployment Strategy: Collaborate with DevOps and deployment teams to deploy trained models into production environments. Ensure smooth integration and monitor performance post-deployment. Workflow Optimization: Identify opportunities to optimize development workflows, enhance productivity, and streamline processes. Implement tools and practices to improve efficiency. Collaboration: Interface with cross-functional teams, including data scientists, architects, and business stakeholders. Collaborate on solution design, implementation, and project milestones. Documentation: Maintain comprehensive documentation of technical designs, code, and workflows. Ensure documentation is up-to-date, accessible, and understandable for team members.

BIZMETRIC INDIA PRIVATE LIMITED is looking for DS / ML / Time-Series Engineer to join our dynamic team and embark on a rewarding career journey Data Exploration and Preparation:Explore and analyze large datasets to understand patterns and trends Prepare and clean datasets for analysis and model development Feature Engineering:Engineer features from raw data to enhance the performance of machine learning models Collaborate with data scientists to identify relevant features for model training Model Development:Design and implement machine learning models to solve business problems Work on both traditional statistical models and modern machine learning algorithms Scalable Data Pipelines:Develop scalable and efficient data pipelines for processing and transforming data Utilize technologies like Apache Spark for large-scale data processing Model Deployment:Deploy machine learning models into production environments Collaborate with DevOps teams to integrate models into existing systems Performance Optimization:Optimize the performance of data pipelines and machine learning models Fine-tune models for accuracy, efficiency, and scalability Collaboration:Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders Communicate technical concepts and findings to non-technical audiences Continuous Learning:Stay current with advancements in data science and engineering Implement new technologies and methodologies to improve data engineering processes Learning Certification Opportunities: Enhance your professional growth. Comprehensive Medical Coverage and Life Insurance: For your we'll-being. Flexible Work Environment: Enjoy a 5-day work week. Collaborative Culture: Be part of a fun, innovative workplace. Job Description: Python, Data Science, Azure Databricks, Machine Learning

We are seeking an Experienced AI Developer with a minimum of 2 years of experience to join our team. The ideal candidate will be passionate about artificial intelligence and possess a strong background in developing cutting-edge AI solutions. Roles and Responsibilities: - Designing, implementing, and optimizing machine learning algorithms and models to solve complex problems. - Utilizing deep learning frameworks such as TensorFlow or PyTorch for model development. - Collaborating with cross-functional teams to integrate AI capabilities into products and services. - Conducting research to stay abreast of the latest advancements in AI and machine learning. - Testing and validating models to ensure accuracy and reliability. - Providing technical expertise and guidance on AI-related projects. - Contributing to the development of AI strategies and roadmaps. - Documenting code, algorithms, and methodologies for knowledge sharing and future reference. - Keeping up-to-date with industry trends and best practices in AI and machine learning. Required Skills: - Proficiency in machine learning algorithms and techniques - Experience with deep learning frameworks such as TensorFlow or PyTorch - Strong programming skills in languages such as Python, Java, or C++ - Understanding of data structures and algorithms - Knowledge of natural language processing (NLP) ,computer vision (CV) and Generative AI (Lang chains and LLMs) - Familiarity with cloud platforms and services (eg, AWS, Azure, GCP) - Ability to work independently and collaboratively in a team environment - Excellent problem-solving and analytical skills - Strong communication skills to convey complex concepts to non-technical stakeholders

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years ofCPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years experience deploying digital and data science solutions on large scale project is required At least 7 years experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Develop GenAI offerings tailored to address client needs across industries. Identify and evaluate new market opportunities in the GenAI landscape. Author whitepapers, research reports, and points of views on gen ai trends, best practices, and strategic application. Collaborate with cross functional teams to ensure alignment with broader strategies. Work closely with stakeholders to understand business requirements, identify opportunities and design GenAI solutions, support RFP/RFI and deliver measure business outcomes. Stay updated on advancements in Gen AI, competitive landscape, and emerging technologies. Analyze industry trends to create actionable insights for internal teams and clients. Your Profile 5+ years of experience in strategy consulting, product management, or a similar role, with a strong focus on AI technologies. Proven experience in developing thought leadership materials (e.g., white papers, blogs, presentations). Good understanding on how Gen AI can create business value across domains. Strong understanding of Generative AI technologies, models, and platforms. Understands key performance indicators, cost principles, experienced in developing AI-related business cases and ROI models. Understanding on data governance framework, risk management frameworks, evaluates regulatory risks, ethical landscape, EU AI Act and advise mitigation strategies, suggest Gen AI guardrails, and deployment challenges. What you will love working about here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgeminis activity. Is able to manage difficult and complex situations calmly and professionally. Considers the bigger picture when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Oracle Cloud Infrastructure Administration Good to have skills : Oracle Advanced Access ControlsMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will engage in the development and configuration of software systems, either managing the entire process or focusing on specific stages of the product lifecycle. Your day will involve applying your extensive knowledge of various technologies, applications, methodologies, and tools to effectively support clients and projects, ensuring that all systems are optimized for performance and functionality. You will also collaborate with team members to address challenges and implement innovative solutions that enhance the overall project outcomes. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall skill levels.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Cloud Infrastructure Administration.- Strong understanding of cloud architecture and deployment models.- Experience with infrastructure as code tools such as Terraform or Ansible.- Familiarity with security best practices in cloud environments.- Ability to troubleshoot and optimize cloud-based applications. Additional Information:- The candidate should have minimum 12 years of experience in Oracle Cloud Infrastructure Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence and machine learning. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to troubleshoot and resolve technical issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 2 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

AI Engineer & Lead This role is a blend of technical innovation, strategic consulting, and hands-on problem-solving, making each day varied, challenging, and impactful. Exp: 3-8 Years Location: Chennai & Hyderabad Organization: Intellect Design Arena - Product Company ------------------------------------------------------------------------------------------------------------- About Intellect Design Arena Limited Intellect Design Arena Ltd is an enterprise-grade financial technology leader, providing composable and intelligent solutions for futuristic global financial institutions across 57 countries. Intellects revolutionary First Principles Thinking-based Enterprise Connected Intelligence Platform, eMACH.ai, is the most comprehensive, composable, and intelligent open finance platform in the world. With an impressive array of 329 microservices, 535 events, and over 1757 APIs, eMACH.ai enables financial institutions to design and deploy future-ready technology solutions that provide a significant global competitive edge. With three decades of domain expertise, Intellect offers a full spectrum of banking and insurance technology products through four lines of business: Global Consumer Banking (iGCB), Global Transaction Banking (iGTB), IntellectAI and Digital Technology for Commerce (iDTC). Intellect is a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world's first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 325+ customers worldwide, supported by a diverse workforce of solution architects and domain and technology experts in major global financial hubs. Summary: As an AI Engineer, you will work directly with clients to own the implementation of AI solutions using our AI platform. You will build and deploy end-to-end AI workflows, taking projects from concept to production, and solving complex, real-world challenges at scale. Your insights and learnings from client engagements will directly contribute to the evolution of our platform, ensuring we stay at the forefront of AI innovation. You will play a key role in expanding our presence into new markets and problem spaces unlocked by Generative AI. Key Responsibilities: Deliver Production-Ready AI Solutions: Design and deploy AI Agents, data processing pipelines, that are robust, scalable, and suitable for real-world applications. Solve Real Business Problems: Focus on practical AI solutions that address tangible business challenges, moving beyond theoretical approaches. Collaborate Across Teams: Work effectively with both technical and non-technical stakeholders to ensure clear communication and smooth project execution. Adapt in Dynamic Environments: Operate comfortably in fast-paced, evolving settings, adjusting quickly to shifting objectives and direct user feedback. Drive Innovation and Growth: Embrace an entrepreneurial mindset, continuously learning, innovating, and striving to make a high impact in a rapidly changing field. Client Interaction and Strategy Development: Engage with clients to understand their challenges, develop AI strategies, and translate their needs into actionable technical solutions. Deploying Solutions to Production: Move AI workflows from prototype to production, ensuring they integrate smoothly into client environments and solve real-world problems. Iterating and Improving: Continuously enhance deployed solutions based on feedback and evolving requirements, focusing on debugging, performance improvement, and workflow adaptation. Contributing to Platform Evolution: Share field insights to influence the development of new features and capabilities within the AI platform, aligning it with market needs. Key Traits: Technical Proficiency: Expertise in building and deploying AI models, data pipelines, and advanced analytics in production environments. Problem-Solver: Ability to design practical, impactful AI solutions that address real business challenges, focusing on tangible outcomes Collaborative: Effective communication skills to work with diverse teams, including technical and non-technical stakeholders, and explain complex AI concepts in understandable terms. Adaptable: Comfortable working in dynamic, fast-paced environments with evolving objectives, quickly iterating on solutions based on feedback. Innovative and Entrepreneurial: Passion for continuous learning, innovation, and applying an entrepreneurial approach to drive impact and growth. Client-Focused: Strong ability to engage directly with clients, understand their needs, and align AI strategies with business objectives. Detail-Oriented: Focus on refining, testing, and fine-tuning AI solutions for optimal performance in real-world settings. Continuous Learner: Commitment to staying updated on the latest AI technologies, tools, and methodologies, exploring new approaches to keep skills and solutions cutting-edge. Skills and Qualifications: Proven experience developing solutions using Generative AI models, with a strong understanding of the AI landscape and related technologies. Solid foundation in Machine Learning principles, including evaluation, training, and problem decomposition. Strong background in engineering or a related technical field such as Computer Science, Mathematics, Software Engineering, Physics, or Machine Learning. Proficiency in programming languages such as Python, Java, C++, JavaScript/TypeScript, or similar. Interested folks can reach out to bicky.nath@intellectdesign.com

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Collaborate with the Customer Account Executive, Sales Specialist, and Solution Architect to uncover and address challenges or obstacles in both new and existing customer accounts. Design, plan, and implement AI systems for customers, with the ability to develop data pipelines, machine learning (ML) pipelines, and approaches for training and serving ML models, leveraging additional support and resources as needed. Lead technical deep dives, proofs of concept, internal sprints and the development of industry-specific AI solutions to enhance adoption and customer success. Identify key AI stakeholders within customer organizations, advocating for their needs within both business and technical teams. Collaborate closely with internal AI business units and engineering teams, offering valuable market feedback on products and solutions. Participate in customer advocacy, including speaking at conferences, writing blog posts, and other public-facing activities. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Solution Engineer with over 5 years of practical experience in the following areas: Use Case Development, including building AI applications such as deep learning, LLM/RAG, NLP, computer vision, and pattern recognition. Technical Expertise in AI Frameworks and Tools:Expertise with various machine learning frameworks (e.g., TensorFlow,PyTorch, Scikit-learn) and cloud AI servicesto design and deploy production-ready AI systems. Machine Learning Operations Design, including hands-on experience in AI systems architecture, with the ability to design and explain data and ML pipelines, as well as training and serving approaches. Experience with CI/CD andMLOpspractices, including automation via Infrastructure as Code (IaC) tools such as Ansible, in the context of ML and LLM operations. Proven ability to delivertechnicalpresentations and lead business value discussions. Customer-Centric Mindset:A passion for delivering exceptional customer experiences, ensuring that AI solutions meet the specific needs and goals of the customer organization.Strong executive presence and public speaking skills. Continuous Learning & Improvement:Stay up-to-date on emerging AI technologies, frameworks, and methodologies. Actively participate in internal knowledge sharing and contribute to the development of best practices and new tools.

Were looking for Data Scientists to join our Central Analytics team. Ita fast-paced, high-adrenaline job, with plenty to learn. If you enjoy crunching numbers, are never satisfied with the products around you, and have always wanted to make things better than the best, youll love this job. Whatrequired of you You will work closely with product leaders as a data-driven advisor and partner on strategic issues. Will work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization. Will proactively perform a wide range of analyses to identify trends, issues, and opportunities across games help us continue to improve gameplay. Will answer business-related questions through exploratory data analyses and ad-hoc reporting. Requirements B.Tech/M.Tech/PhD in Computer Science/Statistics with demonstrated experience in ML/Statistics Hands on experience in Python/Spark for data crunching, data visualization and machine learning. SQL skills: Experience querying large, complex datasets from a data lake/warehouse. Ability to execute research projects, and generate practical results and recommendations. The candidate should enjoy both working with people and undertaking rigorous statistical analyses. Knowledge of Deep Learning is highly desirable

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Role Overview : Hiring an ML Engineer with experience in Cloudera ML to support end-to-end model development, deployment, and monitoring on the CDP platform. Key Responsibilities : Develop and deploy models using CML workspaces Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools Enable secure model serving via REST APIs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Skills Required : Experience in Cloudera ML, Spark MLlib, or scikit-learn ML pipeline automation (MLflow, Airflow, or equivalent) Model governance, lineage, and versioning API exposure for real-time inference

Job_Description":" Qualifications: - Minimum of 5 years of experience as a tester, developer or other relevant role - Ability to create manual and automated tests from user stories, execute tests and record results - Experience with automated testing frameworks, tools and services - Knowledge of/Familiarity with DevOps and CI/CD concepts - Demonstrated application of strong analytical skills in manual testing approaches > Be a problem solver > Find creative solutions for tough problems > Critical thinker - Excellent written & verbal communication skills Preference given to the following experience and skills: - Understanding of AI/ML Concepts: A solid grasp of fundamental AI and machine learning concepts (e.g., supervised learning, unsupervised learning, deep learning) is necessary. - Data Handling and Analysis: Ability to work with large datasets, understand data quality issues, and perform data analysis to evaluate model performance is crucial. - AI Model Testing Techniques: Familiarity with testing methods specific to AI models, such as bias detection, robustness testing, and performance evaluation is needed. - Knowledge of AI Frameworks and Tools: Experience with AI development frameworks like TensorFlow or PyTorch and relevant testing tools is advantageous. ","

About the job Key responsibilities: 1. Manage pre-sale and sale of software and digital services for smart buildings and smart cities 2. Sell Digi Pravesh (Aadhar-based face recognition visitor management system) to government and private sectors 3. Promote and sell digital transformation services for making buildings and cities smart Our Role : 1. We will teach and train candidates to get the skills required 2. We will impart knowledge to candidates Skill(s) required Data Science Sales Management Sales Strategy Earn certifications in these skills Learn Google Analytics Learn Machine Learning Learn Statistical Modeling Learn Data Analytics Learn Data Science Learn Tableau Learn Deep Learning Learn Artificial Intelligence Learn Computer Vision Learn Neural Networks Who can apply Only those candidates can apply who: 1. have minimum 1 years of experience 2. are from Mumbai only Other requirements Computer science graduation preferred. Salary Annual CTC: 3,50,000 /yearAnnual CTC breakup:1. Fixed pay: 2,50,000 /year2. Variable pay: 1,00,000 /year Perks Informal dress code 5 days a week Number of openings 3 To Apply click on below link https: / / secutech.keka.com / careers

Generative AI (GenAI) EngineerJob Summary:We are seeking a talented and highly motivated Generative AI (GenAI) Engineer As a GenAI Engineer, you will be at the forefront of developing and deploying innovative solutions leveraging cutting-edge generative models You will also be responsible for building, training, and fine-tuning GenAI models for various applications, from text generation, image synthesis, code generation, etc This role requires a strong foundation in machine learning, deep learning, and a passion for exploring the potential of generative AI Qualifications:Education: Masters or PhD degree Good to have any certification in Artificial Intelligence, Machine Learning, or a related field Experience: 8+ years of experience in developing and deploying machine learning models 2+ years of experience with generative models Experience with cloud platforms such as AWS, Azure, or GCP Skills: Technical Expertise: Strong understanding of generative AI models, such as GANs, VAEs, diffusion models, and large language models Proficiency in Python and other programming languages commonly used in machine learning Experience with model training and fine-tuning techniques Knowledge of data preprocessing and feature engineering methods Familiarity with model deployment and monitoring tools Soft Skills: Strong analytical and problem-solving skills Excellent communication, presentation, and interpersonal skills Ability to work independently and as part of a team Creativity and a passion for exploring the potential of generative AI

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.