1052 Keras Jobs - Page 41

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. No salary will be provided during the 3-month probation period. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

The Gen AI Team Lead holds a pivotal position within the DigitalX organisation, responsible for multiple value teams under the EnablementX hub. This role involves leading and managing these teams, steering the PODs strategic and tactical goals, and ensuring alignment with the aspirations of the DigitalX leadership. Essential duties include coordinating value teams, developing and implementing roadmaps, coaching team captains, guiding backlog grooming, leading POD management standups and retrospectives, consolidating value team statuses at the POD level, and working closely with the hub leadership team. Responsibilities: Lead and guide teams and team captains, assisting in the planning and execution of tasks. Foster a POD culture that values experimentation and ownership. Collaborate and coordinate with employees across all levels to prioritise and align POD activities and deliverables. Aim to create a unified team within the POD, ensuring everyone works together towards their objectives. Facilitate meetings for discussions, including brainstorming, problem identification, and solution development. Identify and address any risks or issues related to the POD. Adhere to and promote the DigitalX operating model along with its processes and policies. Provide regular coaching and feedback to POD members. Report POD progress to DigitalX leadership. Offer input on people development and performance to relevant DigitalX leaders. Location(s) Bengaluru, India Requirements Required Qualifications: BA/BS in Computer Science, Information Technology, or equivalent experience required. Minimum of 8-10 years related experience in AI and ML space Strong use of Microsoft Office applications and agile project management toolsets. Excellent judgment and organization skills. Preferred Qualifications: Advanced Degree: A Master's degree in fields like Data Science, Computer Science, Bioinformatics, or a related quantitative field is essential. Technical Skills: Extensive Machine Learning/Deep Learning Experience: Significant hands-on experience with machine learning (ML) and deep learning, particularly with Large Language Models (LLMs). Proficiency in LLM fine-tuning, training, and building Retrieval-Augmented Generation (RAG) systems. Programming Skills: Strong proficiency in programming languages like Python, R, and SQL. Experience with relevant frameworks and libraries (e.g., PyTorch, Keras). Cloud Computing: Understanding of cloud-based data platforms and technologies (e.g., AWS, Azure, Google Cloud). Software Engineering and Platform Engineering: Experience in large scale platform development and deployment Pharmaceutical Industry Knowledge: GxP and Regulatory Compliance: Familiarity with Good Practices (GxPs), regulatory requirements, and quality standards in the pharmaceutical industry. Understanding of the drug discovery and development process, clinical trials, and regulatory submissions. Bioinformatics and Computational Biology: Knowledge of bioinformatics and computational biology, particularly in relation to drug discovery and development. Leadership and Soft Skills: Strategic Thinking: Ability to develop and implement AI strategies aligned with business goals. Cross-Functional Collaboration: Strong collaboration skills to work with diverse teams, including data scientists, researchers, and business stakeholders. Communication : Excellent written and verbal communication skills to convey complex technical information to both technical and non-technical audiences. At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas Responsible Flexibility Guidelines.

Walk-In Drive for Machine Learning / Deep Learning Engineers Date : Saturday, 17th May Time : 9:30 AM to 1:30 PM Location : Mirafra Technologies, Akshay Tech Park, Plot No. 72 & 73, 2nd Floor, EPIP Zone, Whitefield, Bengaluru, Karnataka 560066 Experience : 5 to 10 Years Are you an experienced ML/DL Engineer ready to work on impactful real-world applications? Were hiring skilled professionals with expertise in Machine Learning / Deep Learning , especially those with experience in the HVAC domain . Who Should Attend? We are looking for professionals with: 5 to 10 years of experience in Machine Learning / Deep Learning Strong coding and modeling experience in Python Hands-on knowledge of TensorFlow, PyTorch, Keras , Scikit-learn, etc. Experience in NLP, Computer Vision, or Predictive Maintenance HVAC domain knowledge or exposure to building automation, control systems, or energy optimization is a strong advantage Experience with deploying ML models on cloud platforms (AWS/GCP/Azure) preferred Key Responsibilities Develop and deploy ML/DL models in areas like predictive maintenance, energy analytics , and smart building solutions Work with cross-functional teams to deliver intelligent HVAC solutions Perform data preprocessing, feature engineering, model training, and evaluation Ensure high-performance and scalable model deployments in production environments What to Bring Updated Resume Government ID Proof Recent Passport Size Photograph Note HVAC domain experience is preferred but not mandatory.

The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what youre looking for when applying for the role, and your potential value-add to our team.

About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role : Senior Computer Vision Engineer Functional Area : AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent. Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location : Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks. Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks. Test and refine models and systems based on real-world data and feedback. Evaluate project requirements, plan and manage the roadmap of a project. Present findings and insights in a clear and concise manner to stakeholders. Collaborate and help to integrate and deploy computer vision systems into broader product architecture. Conduct research to stay updated on emerging computer vision technologies and trends. Automate data preprocessing and annotation processes to streamline workflow efficiency. Maintain comprehensive documentation for algorithms, implementations, and evaluations. Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus. Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNNs and vision transformers. Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras. Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation. Experience in evaluating computer vision models using relevant metrics and performance indicators. Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc. Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc. Basic knowledge of linear algebra, calculus, and statistics. Strong critical thinking, analytical, and problem-solving skills Self-motivated, quick learner and strong team player with ability to work with minimal supervision.

What you will be doing This role will be responsible for analyzing large, complex datasets and identifying meaningful patterns that lead to actionable recommendations. This role will be performing thorough testing and validation of models, and supporting various aspects of the business with data analytics. Responsible for the design, development, testing, deployment, maintenance, and improvement of machine learning system software. Leverages big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed. Asserts that production ML tasks are working properly and ensures that data science code is maintainable and scalable in terms of actual execution and scheduling, ensuring that data science code is maintainable and scalable. Uses experience, expertise and skills to make recommendations and solve problems that are more difficult and infrequent. Develop and deploy knowledge-based structures to be used by various teams, systems, and tools. Develop tools and processes to maintain, monitor, and enhance existing knowledge-based structures, ensuring their ongoing performance. Identify and implement various sources of data from across the company to further improve knowledge-based structures. Utilize feedback from users and reports to identify gaps and resolve issues. Work with clients to gather requirements and recommend possible solutions to business initiatives. What we are looking for You'll need to have: Bachelors degree or four or more years of work experience. Four or more years of relevant machine learning experience. Experience in Machine learning algorithms including: forecasting, clustering, classification, reinforcement learning, deep learning etc. Experience in Spark and/or Python. Strong experience in Big Data Analysis. Experience with Generative AI and GPU solution optimization. Good mobile telecommunications industry knowledge, including experience with handset manufacturers, network equipment vendors, and/or chipset vendors. Ability to do statistical modeling, build predictive models and leverage machine learning algorithms, build efficient ML pipeline. Even better if you have one or more of the following: Strong communication skills to collaborate with cross-functional teams and explain technical concepts. Strong analytical capabilities, creativity and critical thinking. Excellent problem-solving skills and ability to debug complex issues across the entire stack.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Key Responsibilities: Collaborate with content creators and creative leads to conceptualize video ideas Create detailed and visually engaging storyboards for video scripts and concepts Assist in the setup, coordination, and direction of video shoots Ensure that the visual storytelling aligns with the brand tone and message Stay updated on trends in short-form and digital video content (Reels, Shorts, YouTube, etc.) Requirements: 1-3 years of experience in video production or creative storytelling Strong skills in storyboarding, visual storytelling, and camera planning Basic understanding of lighting, framing, and scene composition Good communication and collaboration skills Familiarity with tools like Adobe Premier pro, After effects, Photoshop, AI tools

Job Summary Member of a software engineering team involved in development & design of the AI Data Platform built on NetApp’s flagship storage operating ONTAP. ONTAP is a feature rich stack with its rich data management capabilities that has tremendous value to our customers and are used in mission critical applications across the world. You will work as part of a team responsible for the development, testing and debugging of distributed software that drives NetApp cloud, hybrid-cloud, and on-premises AI/ML solutions. As part of the Research and Development function, the overall focus of the group is on competitive market and customer requirements, supportability, technology advances, product quality, product cost and time-to-market. Software engineers focus on enhancements to existing products as well as new product development. This is a mid-level technical position that requires an individual to be broad-thinking, systems-focused, creative, team-oriented, technologically savvy, able to work in a small and large cross-functional teams, willing to learn and driven to produce results. Job Requirements Proficiency in programming languages like GO, Python. Experience with Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs ( Open Source), LangChain etc. Hands-on experience working with Rest APIs and Micro Services – Flask, API frameworks. Experience working in Linux, AWS/Azure/GCP, Kubernetes – Control plane, Auto scaling, orchestration, containerization is a must. Experience with No Sql Document Databases e.g., Mongo DB, Cassandra, Cosmos DB, Document DB. Experience working building Micro Services, REST APIs and related API frameworks. Experience with Big Data Technologies: Understanding big data technologies and platforms like Spark, Hadoop and distributed storage systems for handling large-scale datasets and parallel processing. Proven track record of working on mid to large sized projects. Responsible for providing support in the development and testing activities of other engineers that involve several inter-dependencies. Participate in technical discussions within the team and across cross-functional teams. Willing to work on additional tasks and responsibilities that will contribute towards team, department and company goals. A strong understanding and experience with concepts related to computer architecture, data structures and programming practices. Experience with AI/ML frameworks like PyTorch or TensorFlow is a Plus. Education Typically requires a minimum of 4-7 years of related experience with a bachelor’s degree or a master’s degree; or a PhD with relevant experience.

Job Title: Specialist - Co-Pilot Studio Customization & Azure AI Foundry Job Summary: We are seeking a highly skilled Specialist in Co-Pilot Studio Customization & Azure AI Foundry to design, develop, and implement intelligent AI solutions using Microsoft Co-Pilot Studio. This role focuses on crafting seamless conversational experiences, integrating with real-world data sources, and optimizing AI-driven microservices to enhance business outcomes. Key Responsibilities: Design, develop, and implement custom topics, entities, and dialog flows within Microsoft Co-Pilot Studio. Craft intuitive and user-centric conversational experiences that guide users effectively and deliver desired results. Integrate Co-Pilot instances with various data sources, backend systems, and APIs for rich, context-aware interactions. Leverage Co-Pilot Studio's capabilities to customize UI, behavior, and logic for tailored AI assistant experiences. Rigorously test and iterate on Co-Pilot implementations to ensure functionality, reliability, and high user satisfaction. Create clear and concise documentation including design specs, user guides, and troubleshooting materials. Collaborate with business analysts, product owners, and stakeholders to translate requirements into working Co-Pilot features. Monitor and analyze performance metrics to drive ongoing improvements and optimizations. Troubleshoot and resolve issues related to Co-Pilot functionality, integrations, or performance. Stay up-to-date and implement the latest Co-Pilot Studio features and best practices . Develop intelligent AI agents and microservices that automate workflows, answer user queries, and perform contextual actions by integrating generative AI models with real-world tools and data. Oversee AI application performance , resource utilization, and access governance across various environments. Required Skills & Qualifications: Proven experience with Microsoft Co-Pilot Studio or similar low-code/no-code AI platforms. Strong understanding of conversational design principles and dialog flow architecture. Experience in API integration , backend connectivity, and real-time data interaction. Familiarity with Azure AI services , AI agents, and microservices development. Strong problem-solving skills and ability to work in agile, cross-functional teams . Excellent documentation and communication skills . Proficiency in performance monitoring, troubleshooting, and optimization of AI solutions Required Skills Microsoft,Microsoft Azure,Microsoft Technologies

Execute full lifecycle software development Write well designed, testable, efficient code Develop software verification plans and quality assurance procedures Document and maintain software functionality Tailor and deploy software tools, processes, and metrics Desired Skills and Experience Strong analytical skills Skilled in c,c++,java,asp,vb,python,tensor flow,keras,pandas Skilled in javascript, HTML, CSS Strong understanding of databases (RDBMS) Loves to learn new technologies and is a fast learner Be extremely customer centric. Should like going the extra mile to make the customer happy.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting- Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Manager Job location :- Bangalore About S&C - Global Network:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in next 3 years. We will continually invest in your learning and growth. Youll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role AI Architecture Strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Artificial Intelligence, or a related field. 15+ years of hands-on experience in AI, with a focus on Generative AI. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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 : Google Cloud Platform Architecture Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : Total 15 years of full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. Design, develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline using python. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: Must To Have Skills:CCAI hands on experience and generative AI understanding. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering. Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 4 -7.5 years of experience in Google Cloud Machine Learning Services and overall experience 7.5 - 9 years The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications Total 15 years of full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing deep learning and neural network models, and working on chatbots and image processing using machine learning techniques. Roles & Responsibilities: Develop and deploy AI models using machine learning techniques such as deep learning, neural networks, and chatbots. Collaborate with cross-functional teams to develop and implement AI solutions that meet business requirements. Apply GenAI models as part of the solution and ensure proper cloud or on-prem application pipeline with production-ready quality. Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage. Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Professional & Technical Skills: Must To Have Skills:Strong experience in Machine Learning. Good To Have Skills:Experience with deep learning, neural networks, chatbots, and image processing. Experience with Cloud AI services and tools. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools. Experience in developing and deploying AI models in a production environment. Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning. The ideal candidate will possess a strong educational background in AI/ML Computational Science, Data & AI, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Mumbai office. Qualification BE

S&C Global Network - AI - Retail - Consultant - AI Retail Product Specialist Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Knowledge of retail industry trends, consumer behavior analytics, and emerging AI technologies in the retail sector. Develop and maintain AI models and algorithms that support inventory management, personalized shopping experiences, demand forecasting, pricing optimization, and customer segmentation. Creation of process flows and diagrams for merchant's day in a life / Ability to interpret consumer behavior data and apply AI insights to optimize customer journeys, product recommendations, and personalized experiences. Leverage AI to enhance the customer experience by delivering personalized recommendations, improving product discovery, and enhancing omnichannel retail strategies. Good to have skills: Familiarity with Agile methodologies and product management processes. Ability to approach complex problems methodically, using AI and data-driven solutions to solve challenges in retail operations and customer experience. Constantly thinking about how to innovate using AI to improve retail products, services, and customer satisfaction. Experience with pre-built AI services from cloud providers (e.g., AWS AI services, Google AI, or Azure AI). Job Summary :The AI Retail Product Specialist is responsible for developing, implementing, and optimizing AI-powered solutions that enhance retail product strategies. This includes working closely with cross-functional teams, analyzing consumer behavior data, and driving product innovations using AI technologies. The specialist will leverage AI tools to improve customer personalization, inventory management, sales forecasting, and the overall shopping experience in retail settings. Roles & Responsibilities: Act as the bridge between business needs and technical solutions, overseeing the development and deployment of AI products. Define the AI product roadmap and ensure that AI-driven initiatives align with business objectives. Work with cross-functional teams to prioritize features and manage product releases. Collaborate with product managers, data scientists, and IT teams to design, implement, and refine AI-driven retail solutions. Focus on developing agentic experiences, where AI can assist or guide users through various tasks (e.g., chatbots, virtual assistants). Analyze large datasets to identify trends, patterns, and insights related to customer preferences, product demand, and shopping behavior. Monitor the performance of AI models and suggest data-driven improvements to enhance accuracy and effectiveness. Support decision-making by delivering actionable insights to stakeholders regarding product assortments, pricing strategies, and promotional activities. Stay up-to-date with the latest developments in AI technologies and retail industry trends. Recommend and implement best practices for AI-based product development and deployment in a retail environment. Professional & Technical Skills : Proficiency in programming languages such as Python, R, or SQL. Familiarity with AI frameworks and tools like TensorFlow, Keras, or PyTorch. Experience with data analysis and visualization tools (e.g., Tableau, Power BI, Excel). Additional Information: - (do not remove the hyperlink)

We are looking for a results-driven and technically skilled Senior Python Developer with deep expertise in Data Science, Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will possess strong analytical and problemsolving abilities, solid programming experience—especially in Python and Django — and proven experience in leading teams and interacting with clients. Required Skills: Hands-on experience in data science, AI/ML model development, and deployment. Proficiency in Python for data analysis, ML, and back-end development. Experience working with the Django framework and integrating ML models with web applications. Strong command over machine learning libraries such as scikit-learn, TensorFlow, PyTorch, Keras, etc. Expertise in data wrangling, statistical analysis, feature engineering, and model tuning. Experience with REST APIs, SQL/NoSQL databases, and cloud platforms (AWS, GCP, or Azure). Familiarity with version control systems like Git and deployment tools (Docker, CI/CD pipelines). Key Responsibilities: Will be responsible for developing and delivering projects for Python and AI/ML. Lead the design, development, and deployment of AI/ML models to solve real-world business problems. Lead client interactions, requirement discussions, and solution presentations. Translate business requirements into analytical solutions and present insights to stakeholders and clients. Ability to lead teams, delegate tasks, and review deliverables for quality and consistency. Job Type: Full-time Pay: ₹1,300,000.00 - ₹1,500,000.00 per year Schedule: Day shift Monday to Friday Experience: Python: 6 years (Required) AI: 3 years (Required) Machine learning: 3 years (Required) Location: Mohali, Punjab (Required) Work Location: In person Speak with the employer +91 7009122163

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Master Diploma - Business Administration Master of Business Administration in Computer or Business Administration Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics Pharma Forecasting

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering Bachelor of Technology Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics

We are on the hunt for a Lead Artificial Intelligence (AI) passionate about architecting, developing, and supporting advanced AI computing resources and AI-enabled services. The ideal candidate will lead the charge in implementing scalable, high-performance computing infrastructures for AI/ML, collaborating with cross-functional teams to bring innovative AI solutions from conception to deployment. Roles & ResponsibilitiesArchitect, design, and implement scalable AI/ML computing infrastructures and application stacks.Collaborate with project managers, analyst & business stakeholders to design and deploy AI solutions.Develop and demonstrate AI use-cases, conducting training sessions to foster AI adoption.Evaluate and implement best practices in AI/ML and analytics.Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions.Provide expert consultation on AI-related standards, best practices, and governance frameworks.Lead disaster recovery and business continuity planning for AI computing infrastructure.Stay updated with emerging technologies in AI and ML to enhance institutional capabilities. Eligibility CriteriaMaster’s degree in Computer Science or Data Science or Information Technology,6+ years in high-level architecture design and solution development for large-scale AI/ML systems.Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modelling, and NLP. Preferred SkillsetsExpertise in predictive analytics, machine learning, deep learning architectures, and text analytics with NLP.Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps.Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments.Exceptional communication skills to articulate technical solutions to both technical and non-technical audiences.Strategic thinking in systems capacity planning, hardware and software updates, and migration.

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 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 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

Job Description for GB5A(Dev) Primary Role Primarily responsible for working as Tech Lead i.e. leading the team and mentoring it technically. Provide hands-on technical leadership in the design, development, and deployment of generative AI models and systems. Serve as the technical point of contact for cross-functional teams, ensuring seamless collaboration between product, engineering, and data science teams. Responsibilities & KPIs Guiding the team technically and helping them solve the technical problems, throughout the project. Responsible for defining project goals, timelines, and deliverables in collaboration with stakeholders. Ensure scalability, robustness, and cost-efficiency of AI solutions. Conduct code reviews, provide constructive feedback, and ensure adherence to best practices in AI development. Build and maintain workflows to manage multiple POCs and project workloads efficiently. Collaborate with data scientists and domain experts to ensure model accuracy and relevance. Architect end-to-end Generative AI pipelines for model training, evaluation, and deployment using state-of-the-art tools and techniques Optimize AI models for speed, accuracy, and cost-efficiency. Ensure compliance with security and ethical standards. Address challenges like data drift and model degradation Proactively introduce innovative generative AI methodologies to address complex business challenges. Foster a culture of experimentation and continuous learning within the team. Ensure alignment between business goals and technical implementations. Desired Skills B.E./B.Tech degree in Computer Science, Information Science, or a related field from a leading institute preferred. Good leadership and people management skills. Excellent communication skills for translating technical concepts to non-technical stakeholders. Hands-on experience with Python Hands-on experience in machine learning, natural language processing, deep learning, and Generative AI technologies like LLM, RAG, Multi Modal architecture. Familiarity with frameworks like TensorFlow, PyTorch, Keras or Hugging Face. Familiarity with MLOps and CI/CD pipelines for AI workflows. Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying AI solutions. Familiarity with current AI trends and open source technologies. Strong problem-solving and analytical skills. Ability to work on multiple projects simultaneously and manage priorities effectively. Exposure to financial services domains is a plus. Basic understanding of UI Frameworks (e.g. Angular) is a plus.

Excellent opening for Sr. Data Science Engineer, please find below JD for reference. We are seeking an experienced Data Science Engineer with 5-7 years of experience to design and implement advanced AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions. You will work on: We are looking for self-driven Data Professional to be a key member of our Data & AI Practice. We help many of our clients make sense of their large investments in data – be it building analytics solutions or machine learning applications or Generative AI based solution. You will work on cutting edge cloud-native technologies to build meaningful insights. Job Location: Pune What you will do (Responsibilities): Perform high-level work both independently and collaboratively as a project member or leader on multiple projects.Collaborate with Product Management team, elicit AI/ML use case specific requirements, explore and evaluate approachesOwn the end-end process, from recognizing the problem to implementing the solutionDevelop Computer Vision, NLP, Machine learning, Deep Learning, Gen AI based applications & demos according to the requirements and needs.Select appropriate datasets and data representation methods.Explore new tools, technologies, frameworks in ML, DL, Gen AI technologies and experiments.Keep abreast of developments in the field.Mentor, guide junior team members What you bring (Skills):5-7 years of end to end project lifecycle experience (Analysis, Design, Development, Testing, Deployment & Monitoring) in building enterprise grade AI applicationsSound knowledge in Linear Algebra, Statistics, ProbabilityStrong Knowledge & Experience in Python and Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK etc.Experience in various ML Algorithms (like KNN, SVM, Regression, Decision Trees, K-Means, Naive Bayes, GBM and Decision Forests etc)Familiarity with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, CoreNLP etc.)Proficiency in designing, training, and deploying deep learning models for computer vision tasks.Experience with image processing, filtering, object detection frameworks (e.g., YOLO, Faster R-CNN, Mask R-CNN), image segmentation techniques (semantic, instance, panoptic), and image classification.Experience in Generative AI /LLM’s frameworks, tools & technologiesExperience in Prompt Engineering & Langchain / LlamaIndex, Vector search, RAG frameworks, Function Calling, Agentic Frameworks, Document ProcessingExperience in Cloud-based services such as AWS (Primary), Azure or GCPUnderstanding of how to operationalize these models to run in an automated contextStrong development experience using Python and SQL (including DB Design & Complex query optimizations).Experience with async programming and RESTful APIs (FastAPI)Sound understanding of CI-CD, Containerization & OrchestrationExcellent analytical, problem solving and communication skills Great if you know (Skills):Experience with Scrum and/or other Agile development processesExposure to MlOps, LLMOps – model and experiment versioning, hyper parameter tuning, model deployment and monitoring aspectsSound understanding of data visualization aspectsAbility to lead R&D and POC efforts . Experience in pre-sales is desirable.A track record of delivery within a number of large-scale projects, demonstrating ownership of architecture solutions and managing changeExperience in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Advantage Cognologix:A higher degree of autonomy, startup culture & small teamsOpportunities to become an expert in emerging technologiesRemote working options for the right maturity levelCompetitive salary & family benefitsPerformance based career advancement About Cognologix:Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business-first approach to help meet our client’s strategic goals.We are a Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern, and cloud-native way.

Sony is looking for a Deep Learning engineer who has strong knowledge and experience in design and development of Deep learning models according to business objectives. In this role, the candidate must analyse the requirements, prepare design and implement Deep Learning solutions. This requires a sound understanding of ML and Deep Learning fundamentals, libraries and frameworks, end-to-end ML development pipeline. Literature survey of SOTA models as per business requirements and AS-Is reproduction of Deep Learning models. Design and development of CNN models according to the business objective, along with metrics to track their progress. Optimize the CNN models in terms of trainable parameters and MAC operations to meet the target platform. Debug the intermediate as well as final layer output of trained model using various explainable AI methods. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world and Evaluation approaches for model development Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Skills set required: Advanced Python Programming Image processing using OpenCV. Keras, TensorFlow Good to have skills: Deep knowledge of math, probability, statistics and algorithms CNN Development Advanced OOPS concepts Roles and Responsibilities 1. Analyse customer requirements Design and Implement features requested by customer Verify, finetune solution and model and artefacts Validation of quality as per requirements 2. Customer communication 3. Also mentor junior members and ensure quality of deliverables in the project

About Us Arcitech.ai is at the forefront of AI-integrated software and platform development. We build scalable, cloud-native applications for education, recruitment, marketplaces and more. Join us to work on cutting-edge projects and help shape the future of AI-driven products. Responsibilities Design, develop and maintain Python applications with a focus on clean, efficient, and well-tested code. Build and consume RESTful or GraphQL APIs following best practices. Containerize microservices using Docker and collaborate on Kubernetes deployments. Implement and monitor background tasks with Celery, including retry strategies and alerting. Integrate third-party services via webhooks (e.g., Stripe, Razorpay). Set up WebSocket consumers using Django Channels to power real-time features. Configure AWS infrastructure as code (EC2, S3, RDS), manage backups and monitoring through CloudWatch. Write unit and integration tests (pytest or unittest) to achieve and maintain ≥ 80% coverage. Follow Git branching strategies and contribute to CI/CD pipeline definitions. Participate in daily tech-talks, knowledge-sharing sessions, and code reviews. Required Qualifications Bachelor’s degree in Computer Science or a related field. 2–3 years of professional experience working primarily in Python. Strong proficiency with Python standard library and common packages (e.g., NumPy). Solid experience designing and consuming RESTful/GraphQL APIs. Hands-on experience with Docker and at least one cloud platform (AWS or Azure). Proven track record of writing tests with pytest or unittest frameworks. Familiarity with Git workflows and CI/CD best practices. Excellent problem-solving skills and clear communication. Preferred (But Not Required) Experience with AI/ML frameworks such as TensorFlow, Keras or PyTorch. Prior work with the Django web framework. Understanding of machine learning concepts (neural networks, computer vision, reinforcement learning). Background in data analysis, statistics, or applied mathematics. Exposure to Celery task queues and real-time application patterns. Contributions to open-source Python or AI projects. What We Offer Competitive salary and benefits package. Opportunity to work on innovative AI and web-development initiatives. A collaborative culture that values continuous learning and skill growth Show more Show less