5072 Tensorflow Jobs - Page 39

Date: Jun 5, 2025. Company: Zelestra. Location. Gurugram, India. About Us. Zelestra (formerly Solarpack) is a multinational company fully focused on multi-technology renewables with a vertically integrated business model focused large-scale renewable projects in rapidly growing markets across Europe, North America, Latin America, Asia, and Africa. Headquartered in Spain, Zelestra has more than 1000 employees worldwide and is backed by EQT, one of three largest funds in the world with $200B in assets.. One solution doesn’t fit all, especially in energy. We’re on a journey alongside our clients, assisting them in achieving their decarbonization goals. We are committed to developing tailored-made solutions by analyzing power market challenges and co-creating structured products based on customer insights.. One of the top 10 sellers of clean energy to corporates in the world, according to Bloomberg NEF, we are committed to tailored solutions to meet customer needs.. At Zelestra we aim to be a solid and solvent company, capable of executing quality and valuable projects for the society and the environment. Therefore, we maintain a firm commitment to contribute directly to the social development of the communities and markets in which we operate, not only through the creation of economic value, but also through the generation of quality employment and through the social projects we promote.. In the efforts of supporting business with innovative digital solutions, we want to recruit an experienced and dynamic Engineer.. Mission. We are looking for a motivated Junior Data Scientist to join our dynamic team, working on developing advanced Asset Performance Management solutions for solar plants and wind farms.. The ideal candidate will have hands-on experience in building time-series forecasting models, particularly in the context of renewable energy. You will work closely with our data scientists and engineers to deploy data-driven solutions, focusing on asset performance optimization, cloud tracking using image data, and leveraging large language models (LLM) for innovative solutions. If you’re passionate about data science and sustainability, we’d love to hear from you.. Responsibilities. Model Development & Analysis: Build, test, and deploy time-series models for solar and wind energy forecasting; develop asset performance models to predict equipment health and maintenance; collaborate with senior scientists to enhance model accuracy.. LLM and Image-Based Modelling: Use large language models for asset management solutions; create visualization models from satellite/drone imagery to optimize solar plant performance.. Data Visualization & Reporting: Develop clear visualizations and dashboards (using tools like Amazon QuickSight and PowerBI) to communicate insights and track renewable energy asset metrics.. Data Management & Collaboration: Handle large IoT datasets from renewable assets stored on cloud platforms (AWS S3, Azure Blob); maintain version control with Git/GitHub.. Model Deployment & Monitoring: Work with engineers to deploy models on cloud infrastructure (AWS, Azure); establish monitoring pipelines for ongoing model performance and updates.. Experience. Job Requirements. 0-2 years as a data scientist or related role, preferably with time-series modeling experience.. Practical skills in Python, R, or similar programming languages.. Technical Skills. Proficient in building and deploying time-series forecasting models.. Experienced with data visualization tools such as Power BI, Tableau, or equivalent.. Familiar with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.. Skilled in Git and version control for collaborative projects.. Cloud & Infrastructure. Experience with cloud platforms like AWS and Azure for data storage and processing.. Knowledge of cloud data lakes/data warehouses (AWS S3, Azure Blob Storage).. Collaboration & Communication. Ability to collaborate effectively with cross-functional teams, including engineers and data scientists.. Strong communication skills to translate technical findings into business strategies.. What We Offer. Career opportunities and professional development in a growing multinational company with a team highly qualified.. Flexible compensation.. Full working day.. Remote work 2 days a week.. Zelestra celebrates the diversity of thought and experience that comes from a variety of backgrounds including, among others, gender, age, ethnicity... Our mission is to contribute to a fairer and more equitable society.. JR2212. Show more Show less

Description. The Head of AI Innovation will be responsible for conceptualizing, leading, and executing artificial intelligence initiatives across GarbhaGudi IVF to enhance clinical outcomes, streamline workflows, personalize patient engagement, and drive strategic advantage. This role bridges healthcare expertise, data science, and innovation leadership in a fast-evolving IVF ecosystem.. Job Responsibilities. Key Responsibilities. AI Strategy Development & Leadership. Define and implement a roadmap for AI adoption in clinical, patient, and back-office functions.. Identify high-impact use cases aligned with organizational goals—such as embryo selection, treatment prediction, patient follow-up automation, and inventory management.. Evaluate and deploy AI tools or build custom models with internal or external data science partners.. Clinical AI Applications. Collaborate with embryologists and clinicians to integrate AI into embryo grading, cycle prediction, imaging, and outcome forecasting.. Lead trials or pilots of AI models that improve treatment precision and success rates.. Ensure medical accuracy, ethical AI use, and patient data protection in all implementations.. Operational AI & Process Automation. Introduce AI-driven solutions for:. Demand forecasting. CRM and patient communication automation. Chatbots for pre-consultation and FAQs. Staff workload optimization. Data Governance & Infrastructure. Work with IT and Data teams to improve data quality, integration, and accessibility across departments.. Ensure adherence to HIPAA-like standards and ethical AI usage.. Build or supervise a centralized data warehouse or AI-ready ecosystem.. Vendor and Ecosystem Collaboration. Identify, evaluate, and manage partnerships with AI tech companies, academic institutions, and healthcare startups.. Represent GarbhaGudi at AI in Healthcare forums, summits, and collaborations.. Qualifications. Candidate Profile:. Master’s or PhD in Artificial Intelligence, Data Science, Computer Science, Biomedical Engineering, or related field.. Additional certification or exposure to healthcare informatics or medical data is highly preferred.. Experience. 7–10 years in AI development or AI strategy, with at least 2 years in healthcare or life sciences.. Demonstrated success in deploying AI models from pilot to production in a regulated environment.. Experience with medical imaging, NLP, predictive analytics, or patient behavior modeling is a plus.. Technical Skills. Familiarity with Python, TensorFlow, PyTorch, and cloud AI platforms (AWS, GCP, Azure).. Strong understanding of data science lifecycle, model validation, and ML Ops.. Ability to translate clinical requirements into technical AI solutions.. Soft Skills. Visionary thinker with hands-on execution capability.. Strong communication skills to align cross-functional stakeholders.. High integrity, discretion, and empathy in handling patient-centric innovation.. Success Metrics (First 12–18 Months). Launch of at least 2 AI pilots impacting core IVF functions (e.g., embryo grading or treatment personalization).. Measurable improvement in patient outcomes, efficiency, or lead conversion via AI.. Foundation for a scalable AI innovation lab or internal AI center of excellence.. Enhanced organizational readiness for data-driven decision-making.. Why Join GarbhaGudi IVF?. GarbhaGudi is a pioneer in compassionate and cutting-edge fertility care. This is a unique opportunity to shape the future of reproductive healthcare through ethical AI innovations that touch lives and build families. You’ll lead transformative initiatives in an environment that values science, empathy, and long-term impact.. Show more Show less

Flexing It is a freelance consulting marketplace that connects freelancers and independent consultants with organisations seeking independent talent.. Flexing It has partnered with a leading multinational automotive manufacturing company who is looking to engage a full-stack developer. Key Responsibilities. Design, develop, test, and deploy responsive web applications using modern front-end frameworks (e.g., React, Angular, Vue) and back-end technologies (e.g., Node.js, Python, Java).. Develop mobile applications using cross-platform frameworks such as React Native or Flutter, or native iOS/Android development.. Integrate AI tools and platforms (e.g., TensorFlow, PyTorch, Lovable, Firebase Studio, OpenAI APIs) into applications to enhance functionality and user experience.. Design and implement database schemas and manage data storage using SQL and NoSQL databases.. Manage hosting environments, including cloud platforms (AWS, Azure, Google Cloud), ensuring application scalability, security, and performance.. Build and maintain RESTful APIs and integrate front-end components with server-side logic.. Troubleshoot, debug, and optimize applications for maximum speed and scalability.. Implement security best practices, including data protection and user authentication.. Collaborate with UI/UX designers, product managers, and other developers to translate requirements into technical solutions.. Stay abreast of emerging technologies, especially in AI and cloud computing, and apply them to improve application capabilities.. Required Skills and Qualifications. Bachelor’s degree in computer science, Software Engineering, or related field, or equivalent practical experience.. Proven experience (4-6 years) in full stack web and mobile application development.. Proficiency in front-end technologies: JavaScript, TypeScript, HTML5, CSS3, and frameworks like React.. Strong back-end development skills with experience in Node.js, Python, Java, or similar.. Experience developing mobile applications using React Native, Flutter, or native platforms.. Hands-on experience with AI tools and frameworks such as TensorFlow, PyTorch, Lovable, Firebase Studio, or OpenAI APIs.. Knowledge of database systems including MySQL, PostgreSQL, MongoDB, or similar.. Experience with cloud hosting and deployment on AWS, Azure, or Google Cloud.. Familiarity with version control systems such as Git.. Understanding of RESTful API design and integration.. Strong problem-solving skills and ability to work independently and collaboratively. Show more Show less

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand. Responsibilities Lead the CV and DS Team Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant). Your work will include formulation and development of a Machine Learning models to solve the underlying problem. You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo Statistical data modelling and machine learning research. Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes Conduct applied research to model complex dependencies, statistical inference and predictive modelling Technological conception, design and implementation of new features Quality assurance of the software through planning, creation and execution of tests Work with a cross-functional team to define, build, test, and deploy applications Requirements Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields. 3-4 years of experience with computer vision and data science. Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques). Experience building production-quality and well-engineered Computer Vision and Data Science products. Experience in image processing, algorithms and neural networks. Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform Solid Python engineering skills and experience with Python, Tensorflow, Docker Cooperative and independent work, analytical mindset, and willingness to take responsibility Fluency in English, both written and spoken. Skills:- Natural Language Processing (NLP), Computer Vision, TensorFlow, Docker, Forecasting, Predictive modelling, Image Processing, Algorithms and Machine Learning (ML)

Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.. 2 years of experience with data structures or algorithms.. 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).. Preferred qualifications:. Master's degree or PhD in Computer Science or related technical fields.. Experience developing accessible technologies.. About The Job. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Write product or system development code.. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.. Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Our Company. We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market.. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole.. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.. The team. Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are currently seeking an expert Lead AI Engineer to spearhead our new AI initiatives and enhance our existing Agentic AI capabilities, while also building new AI products and refining current models to meet the evolving needs of our business.. The role. In this role you will lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. You will drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality and enhance and refine existing Agentic AI capabilities to improve performance and scalability.. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, conduct research and stay updated on the latest advancements in AI technologies and methodologies. Additional tasks in the role include optimization of AI models for performance, scalability, and accuracy, as well as troubleshooting and resolving complex issues related to AI systems and applications.. You will also document AI development processes, methodologies, and best practices, mentor junior developers and participate in code reviews, providing constructive feedback to team members. Provide strategic direction and leadership in AI technology adoption and innovation.. What You’ll Bring. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; PhD preferred.. 10+ years of experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI.. Strong programming skills in languages such as Python, Java, or C++.. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus.. Experience with GPU-based AI model development is a plus.. Extensive experience with Generative AI (GenAI) and Large Language Models (LLMs) is required.. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar.. Knowledge of machine learning algorithms, neural networks, and natural language processing.. Excellent problem-solving skills and the ability to work independently and as part of a team.. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.. Proven leadership skills and experience in guiding AI projects from conception to deployment.. Preferred Qualifications. Familiarity with data science tools and techniques.. Previous experience in a similar role within a tech-driven company.. About Us. We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future.. Championing diversity, equity, and inclusion. Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.. How We Look After You. We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.. Show more Show less

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/Golang.. 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.. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.. Equal Opportunity Employer. NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.. Why NetApp?. We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.. If you want to help us build knowledge and solve big problems, let's talk.. Show more Show less

Company Description We are a US-based health-tech company building the future of multilingual, ambient voice intelligence in partnership with leading international companies such as Microsoft, OpenAI, NVIDIA, and NHS London. Our mission is to create impactful technology that redefines human connection across the world by removing critical language and communication barriers across industries. Job Overview We are seeking a technically adept and highly motivated AI Engineer to join our fast-paced, innovation-driven team. This role offers a unique opportunity to contribute to the development of cutting-edge AI systems across multiple modalities including language, audio, and vision. The ideal candidate will bring deep expertise in machine learning and artificial intelligence, combined with a pragmatic, hands-on approach to research and development. You will work alongside top talent to design, implement, and deploy advanced models and pipelines that power real-world intelligent applications. Key Responsibilities Design, build, and optimize machine learning pipelines across NLP, ASR, TTS, computer vision, and audio classification domains. Develop and fine-tune transformer-based architectures for tasks in language, speech, and vision. Collaborate on the implementation and evaluation of agentic systems leveraging large language models (LLMs). Conduct rigorous experiments using statistical methods and ML evaluation metrics to guide iterative improvements. Integrate open-source and proprietary AI models using frameworks like Hugging Face, PyTorch, TensorFlow, and OpenAI tools. Lead exploratory R&D efforts to prototype innovative features and evaluate state-of-the-art models. Support deployment and monitoring of models in production environments. Collaborate cross-functionally with engineers, product managers, and researchers to align development efforts with strategic goals. Required Qualifications Strong foundation in machine learning, deep learning, and statistical modeling. Proven experience working with: o Transformer architectures (BERT, GPT, Whisper, etc.) o Natural Language Processing (e.g., tokenization, embeddings, NER, QA) o Audio classification techniques and toolkits o Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) o Computer Vision (e.g., CNNs, image segmentation, multimodal models) o Large Language Models (LLMs) and prompt-based systems Proficient in Python and ML frameworks (e.g.,PyTorch, TensorFlow, Hugging Face, OpenAI APIs) Familiarity with model evaluation metrics, optimization techniques, and dataset curation Strong communication skills and the ability to work effectively in a collaborative team setting Preferred Qualifications Experience with agentic frameworks and multi-agent system design Experience with different transformers architectures Prior experience in a startup or fast-paced research environment

Job Description Role Summary: The Technical Lead/Manager will be responsible for leading the AI CoE team, driving the implementation of AI-powered solutions for the organization. They will coordinate across multiple teams, work closely with stakeholders, and oversee the technical aspects of AI/ML projects, ensuring the effective application of generative AI technologies to the product suite. Required Experience: • 8 years of experience in AI/ML technologies, with at least 3 years in a leadership role. • Strong background in AI/ML model development and deployment, particularly in the financial services sector. • Proficient in Python, R, and other AI-related programming languages. • Experience managing cross-functional teams in an Agile environment. • Strong understanding of data science, cloud computing, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.). Job Responsibilities Lead the AI CoE team, ensuring alignment with business objectives. • Oversee the design, development, and deployment of AI/ML models for financial use cases. • Work closely with product managers and business stakeholders to understand requirements and deliver actionable AI solutions. • Provide guidance and mentorship to junior team members. • Manage project timelines, resources, and risk assessments. • Collaborate with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers to ensure smooth integration of AI solutions. • Stay updated with advancements in AI/ML technologies and best practices..

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Our Mission is simple. To prove that Indian engineers can design, develop, and manufacture world-class technology products for customers across the world, right from India. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Role SME- IVA Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products You will remain rooted as an engineer, a designer, and a technologist while leading a team.You take complete ownership of timely product delivery with impeccable software quality. You have the ability to navigate the teams through fast changing market needs. You possess strong people leadership skills in mentoring the young engineers Experience 4+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Hands on with C++, OOPS, Computer Vision, OpenCV, TensorFlow, Web Orientation, Web Development, OpenCV, Image Processing. Hands-on experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Strong programming skills using Python and C++ Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors What your day might look like (Role) The SME - Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What do we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company If you are an Innovative Tech-savvy individual. Look no further. Click on Apply and we will reach out to you soon!

We're looking for software development candidates that want to turn ideas into reality, focus on innovation and development in our modernization journey. Our Strategic Product Development team creates and delivers exciting product features that impact the business to be successful. You'll work alongside global and local multidisciplinary teams of Developers, Architects and Analysts focused on the next generation of solutions. Do you enjoy working and thrive in a Challenging yet collaborative team environment Passionate about technology and software You have extremely strong analytical, problem-solving and troubleshooting skills If so, you'll fit right in with our team. You employ creative thinking and collaboration as the foundation of your daily approach towards our Product development team. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 2 – 10 years of relevant industry experience in Artificial Intelligence and Machine Learning Platforms with specialisation in Generative AI. Solid experience of Python Programming Language. Experience with Large Language Models and Natural Language Processing Familiarity with the Pytorch framework Experience with software development lifecycle Excellent problem determination skills Excellent written and oral communication skills Excellent organizational skills Flexible to work between development/test/support roles. Preferred technical and professional experience Design experience for supporting new requirements. Willingness to learn new skills and technologies. Experience using git and github Familiarity with Node.js and creating VS Code extensions Knowledge on other programming languages (C/C++, Java, Open Source Programming Languages) is added advantage.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Senior Python Developer – Client – Merck, H and M, TIAA, MINT Job Description Bachelor’s or master’s degree with 3+ years of strong Python development experience Design, develop, and maintain high-performance web applications using Python and related frameworks. Strong understanding of Python OOPs, Data type, Data Structure and algorithm , Exception handling, Decarotor , Generator, Iterator, Automation. Strong understanding of Python Libraries (Pandas, TensorFlow, Numpy, SciPy) Experience in Cloud Azure / AWS Develop, optimize, and manage complex APIs (RESTful or GraphQL). Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve advanced technical issues in development and production environments. Conduct technical evaluations of new tools and frameworks, recommending their adoption when appropriate. Stay ahead of emerging trends in Python development, ensuring the team remains at the forefront of innovation. Advanced proficiency in Python and frameworks like Django,Flask, or FastAPI. Good understanding of Database Postgres / MySQL & ORM Library i.e. SQL Alchemy/ any ORM libraries Understanding of Code Repository tools i.e. GIT , SVN Strong understanding of DevOps principles(Docker, Kubernetes and microservices) EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Date 18 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling, and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your expertise in data solutions to a cutting-edge field. Youll work alongside innovative and collaborative teammates. You'll play a pivotal role in defining, developing, and sustaining advanced data solutions that empower our industrial programs. Day-to-day, youll work closely with teams across the business (such as IT, engineering, and operations), design scalable data models, ensure data quality, and much more. Youll specifically take care of building multi-tenant data collectors and processing units, as well as creating customizable analytical dashboards, but also evaluate opportunities from emerging technologies. Well look to you for: Designing technical solutions for production-grade and cyber-secure data systems Building multi-tenant data storage and streaming solutions for batch and near-real-time flows Creating scalable data models, including SQL and NoSQL modeling Enhancing data quality and applying robust data management and security practices Developing customizable analytical dashboards Applying strong testing and quality assurance practices All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: 5 to 10 years of experience in IT, digital companies, software development, or startups Extensive experience with data processing and software development in Python or Java/Scala environments Proficiency in developing solutions with Apache Spark, Apache Kafka, and/or Nifi for production Expertise in data modeling and SQL database configuration (e.g., Postgres, MariaDB, MySQL) Knowledge of DevOps practices, including Docker Experience with Git and release management Familiarity with cloud platforms like Microsoft Azure, AWS, or GCP (desirable) Understanding of network and security protocols such as SSL, certificates, IPSEC, Active Directory, and LDAP (desirable) Knowledge of machine learning frameworks like scikit-learn, R, or TensorFlow (desirable) Good understanding of the Apache open-source ecosystem (desirable) Fluent English; French is a plus Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges, and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards senior data leadership roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

About the Company: Brakes India is at the forefront of leveraging AI-driven analytics in manufacturing. We are setting up an Advanced Analytics team to drive data-driven decision-making across the organization. About the Role: We are looking for an experienced Senior Data Scientist who will be part of this new Center of Excellence (CoE) and help build a high-performing analytics team. In this role, you will leverage your expertise in data analysis, machine learning, and artificial intelligence to drive insights and develop innovative solutions. You will collaborate with business SMEs and other IT divisions to identify business challenges and implement data-driven strategies that enhance our products and processes, and helps grow our business. Responsibilities: The Senior Data Scientist will Collect, clean, and analyze large datasets to extract meaningful insights. Utilize statistical methods to interpret data and identify trends. Design, develop, and implement machine learning models and algorithms tailored to specific business needs. Optimize models for performance and accuracy. Work closely with stakeholders to define project goals and deliver actionable insights. Stay up-to-date with the latest Al/ML trends, tools, and technologies. Experiment with new approaches to enhance our data science capabilities. Present findings and recommendations to both technical and non-technical audiences. Prepare clear documentation for methodologies and results. Develop metrics to assess the effectiveness of models and solutions. Continuously monitor and improve model performance. Lead the CoE to meet its stated objectives for formulating policies, standards, ethics, tools, technology stack and procedures around the use of AI and ML in the organization, among others. Mentor data scientists and support in organizational skilling in AI. Qualifications: Master’s or bachelor’s degree in computer science, Data Science, Statistics, or a related field. Required Skills: 5-7 years' experience in data science, machine learning, or artificial intelligence, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java, SQL Experience in ML Platforms like Azure Machine Learning, Databricks, Azure Data Factory and with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in working with Big Data technologies (eg Hadoop, Spark) & databases like Azure Data Lake, Delta Lake, Snowflake. Strong in MLOps & Deployment: Model training, versioning, monitoring, and deployment. Strong statistical analysis skills and experience with data visualization tools (e.g., Power BI, Matplotlib, Seaborn). Experience with deep learning frameworks and natural language processing (NLP). Understanding of business process and ability to translate business needs into technical requirements. Experience in AI/ML deployment Manufacturing industry is highly desired. Excellent problem-solving and critical-thinking skills. Strong communication and interpersonal skills. Experience in setting up CoEs or analytics practices is a plus. Why Join Us? Opportunity to be part of an Advanced Analytics CoE setup. Work on cutting-edge AI & ML projects in manufacturing. Direct impact on business-critical decisions and process optimization. Collaborative work culture with a focus on innovation and growth.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Senior Python Developer – Client – Merck, H and M, TIAA, MINT Job Description Bachelor’s or master’s degree with 3+ years of strong Python development experience Design, develop, and maintain high-performance web applications using Python and related frameworks. Strong understanding of Python OOPs, Data type, Data Structure and algorithm , Exception handling, Decarotor , Generator, Iterator, Automation. Strong understanding of Python Libraries (Pandas, TensorFlow, Numpy, SciPy) Experience in Cloud Azure / AWS Develop, optimize, and manage complex APIs (RESTful or GraphQL). Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve advanced technical issues in development and production environments. Conduct technical evaluations of new tools and frameworks, recommending their adoption when appropriate. Stay ahead of emerging trends in Python development, ensuring the team remains at the forefront of innovation. Advanced proficiency in Python and frameworks like Django,Flask, or FastAPI. Good understanding of Database Postgres / MySQL & ORM Library i.e. SQL Alchemy/ any ORM libraries Understanding of Code Repository tools i.e. GIT , SVN Strong understanding of DevOps principles(Docker, Kubernetes and microservices) EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Bachelor's or masters degree in computer science, AI/ML, Data Science, or related field. 5+ years of experience in AI/ML solution design and development. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong programming skills in Python, R, or Java. Hands-on experience with cloud platforms (AWS, Azure, GCP). Solid understanding of data engineering concepts and tools (Spark, Hadoop, Kafka, etc.). Experience with MLOps practices, including CI/CD for AI models. Strong problem-solving, communication, and leadership skills. Preferred Qualifications AI/ML certifications (AWS Certified Machine Learning, Google Professional ML Engineer, etc.) Experience in natural language processing (NLP) or computer vision. Knowledge of AI governance and ethical AI practices. Familiarity with AI model explainability and bias detection.

Designation: Computer Vision Engineer Location: Noida Experience: 3+ years Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 4 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

Role : Data Scientist with ML Knowledge. Experience : 3-4 years. Skill Set : Data Science Machine Learning Data Modelling and Statistical Analysis Experience in Python , DBs and ML packages Experience in Flask API , Cloud services (Azure, AWS, Open AI , Gemini Flash) Experience in version control and collaborating with development teams Knowledge of Deep Learning Frameworks(Pytorch / TensorFlow etc) Responsibility Sanitize, analyze, and preprocess structured and unstructured data using tools like Pandas, NumPy, SQL, and Spark. Implement ML algorithms using Python and libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost.Perform feature engineering , model tuning, and validation to optimize model performance. Develop dashboards and reports using tools like Power BI, Tableau , or Streamlit for stakeholder communication. Continuously monitor and improve the performance of deployed models. Stay updated with the latest trends in ML/AI and bring innovative ideas to the table.

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Associate level Min Experience: 3 years JobType: full-time About The Role Are you ready to redefine how people interact with technology using natural language? We’re looking for a visionary Principal Engineer – Conversational AI & Voice Systems to spearhead the development of intelligent, real-time voice-based agents. In this role, you'll leverage your deep expertise in machine learning, natural language processing, and speech technologies to craft next-gen AI calling experiences that feel truly human. You’ll join a high-performing team working at the intersection of AI, linguistics, and software engineering. Your innovations will empower millions of customer interactions, driving engagement, satisfaction, and business value through intelligent, lifelike conversations. What You’ll Do 🎯 Architect & Lead Voice AI Solutions Design, prototype, and productionize end-to-end voice agent systems combining TTS, ASR, NLP, and ML models. Drive decisions around system design, architecture, and performance optimization for low-latency, real-time interactions. 🧠 Advance AI Conversation Models Build and fine-tune neural TTS models to deliver expressive, human-like speech. Develop context-aware dialogue systems using transformer-based NLP frameworks for robust understanding and dynamic response generation. Implement reinforcement learning or statistical techniques to optimize dialogue flow and personalization. 📊 Data-Driven Improvement Analyze structured and unstructured conversation data to identify model gaps and train higher-accuracy ML models. Collaborate with linguistic, annotation, and product teams to continuously improve language coverage, tone, and content alignment. 🛠️ Cross-Functional Collaboration Partner with backend engineers, DevOps, linguists, and product teams to ensure smooth integration and deployment. Work closely with voice UX designers to refine the end-user experience. 🧪 Innovation & R&D Stay ahead of the curve with advancements in speech synthesis (e.g., Tacotron, FastSpeech), NLP (e.g., BERT, GPT), and generative AI. Lead proof-of-concept initiatives and experimental model development. What You Bring ✔️ Core Qualifications 4–7 years of hands-on experience in developing conversational AI, voice interfaces, or speech-driven systems. Strong expertise in Python and ML/NLP libraries such as PyTorch, TensorFlow, HuggingFace Transformers, or spaCy. Deep understanding of speech synthesis, voice cloning, acoustic modeling, or signal processing. Track record of deploying production-grade NLP or speech AI pipelines. Solid grasp of dialogue management, context tracking, and natural language understanding. 🌐 Bonus Experience Experience with real-time voice agents, latency optimization, or telephony integrations. Familiarity with cloud services (AWS/GCP/Azure) and APIs for voice platforms (Dialogflow, Amazon Lex, Twilio Voice, etc.). Background in computational linguistics or multi-lingual AI systems. 🎓 Education Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field. PhD is a plus. Why Join Us Help build the future of intelligent voice systems that feel intuitive, emotional, and human. Collaborate with experts across AI, product, and design to shape a new category of human-tech interaction. Access cutting-edge resources, tools, and compute infrastructure for experimentation and scale. Be part of a mission-driven organization where your work directly transforms user experience at scale.

This role is for one of Weekday's clients Min Experience: 4 years JobType: full-time Requirements About the Role: We are looking for a skilled and driven Python Fullstack Developer to join our high-performing development team. In this role, you will be responsible for designing, developing, and maintaining end-to-end solutions with a strong emphasis on backend development and API integration. The ideal candidate should have deep expertise in Python along with experience in RESTful API development and proficiency in modern data science libraries such as NumPy , Pandas , TensorFlow , Keras , and Scikit-learn . As part of a dynamic product development team, you will play a key role in building scalable, reliable applications and intelligent systems that leverage machine learning and data-driven insights. You will also collaborate closely with front-end developers, data scientists, and DevOps engineers to deliver seamless user experiences and high-performance APIs. Key Responsibilities: Develop and maintain Python-based backend services, including the creation and management of RESTful APIs to serve front-end and client applications. Work closely with data scientists to integrate AI/ML models using frameworks like TensorFlow and Keras into production environments. Build robust and scalable data processing pipelines using libraries like NumPy, Pandas, and Scikit-learn. Design and implement full-stack solutions with clean, maintainable, and testable code. Optimize API performance and ensure secure and efficient data exchange between front-end and backend systems. Contribute to database schema design and optimize database queries for performance and scalability. Participate in code reviews, debugging, and troubleshooting across the stack. Collaborate with cross-functional teams including front-end developers, DevOps, and product managers to define and execute project deliverables. Stay up-to-date with industry trends and emerging technologies to ensure that our solutions are cutting-edge and competitive. Required Skills and Qualifications: 4+ years of experience as a Python Developer, with proven experience in fullstack or backend roles. Strong understanding of RESTful API design and best practices. Proficiency in Python, with in-depth knowledge of libraries such as NumPy, Pandas, TensorFlow, Keras, and Scikit-learn. Experience in developing applications that integrate data science models into production-grade systems. Familiarity with front-end technologies (HTML, CSS, JavaScript, React or similar frameworks) is a plus. Solid experience with version control tools such as Git and development workflows like Agile/Scrum. Experience working with cloud platforms such as AWS, Azure, or GCP is an advantage. Strong problem-solving skills and the ability to work independently and in a team environment. Excellent communication skills and a passion for building high-quality software.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Senior Python Developer – Client – Merck, H and M, TIAA, MINT Job Description Bachelor’s or master’s degree with 3+ years of strong Python development experience Design, develop, and maintain high-performance web applications using Python and related frameworks. Strong understanding of Python OOPs, Data type, Data Structure and algorithm , Exception handling, Decarotor , Generator, Iterator, Automation. Strong understanding of Python Libraries (Pandas, TensorFlow, Numpy, SciPy) Experience in Cloud Azure / AWS Develop, optimize, and manage complex APIs (RESTful or GraphQL). Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve advanced technical issues in development and production environments. Conduct technical evaluations of new tools and frameworks, recommending their adoption when appropriate. Stay ahead of emerging trends in Python development, ensuring the team remains at the forefront of innovation. Advanced proficiency in Python and frameworks like Django,Flask, or FastAPI. Good understanding of Database Postgres / MySQL & ORM Library i.e. SQL Alchemy/ any ORM libraries Understanding of Code Repository tools i.e. GIT , SVN Strong understanding of DevOps principles(Docker, Kubernetes and microservices) EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Senior Python Developer – Client – Merck, H and M, TIAA, MINT Job Description Bachelor’s or master’s degree with 3+ years of strong Python development experience Design, develop, and maintain high-performance web applications using Python and related frameworks. Strong understanding of Python OOPs, Data type, Data Structure and algorithm , Exception handling, Decarotor , Generator, Iterator, Automation. Strong understanding of Python Libraries (Pandas, TensorFlow, Numpy, SciPy) Experience in Cloud Azure / AWS Develop, optimize, and manage complex APIs (RESTful or GraphQL). Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve advanced technical issues in development and production environments. Conduct technical evaluations of new tools and frameworks, recommending their adoption when appropriate. Stay ahead of emerging trends in Python development, ensuring the team remains at the forefront of innovation. Advanced proficiency in Python and frameworks like Django,Flask, or FastAPI. Good understanding of Database Postgres / MySQL & ORM Library i.e. SQL Alchemy/ any ORM libraries Understanding of Code Repository tools i.e. GIT , SVN Strong understanding of DevOps principles(Docker, Kubernetes and microservices) EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Senior Python Developer – Client – Merck, H and M, TIAA, MINT Job Description Bachelor’s or master’s degree with 3+ years of strong Python development experience Design, develop, and maintain high-performance web applications using Python and related frameworks. Strong understanding of Python OOPs, Data type, Data Structure and algorithm , Exception handling, Decarotor , Generator, Iterator, Automation. Strong understanding of Python Libraries (Pandas, TensorFlow, Numpy, SciPy) Experience in Cloud Azure / AWS Develop, optimize, and manage complex APIs (RESTful or GraphQL). Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve advanced technical issues in development and production environments. Conduct technical evaluations of new tools and frameworks, recommending their adoption when appropriate. Stay ahead of emerging trends in Python development, ensuring the team remains at the forefront of innovation. Advanced proficiency in Python and frameworks like Django,Flask, or FastAPI. Good understanding of Database Postgres / MySQL & ORM Library i.e. SQL Alchemy/ any ORM libraries Understanding of Code Repository tools i.e. GIT , SVN Strong understanding of DevOps principles(Docker, Kubernetes and microservices) EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Experience Level: 4-6 Years Key Responsibilities Model Development: Design, develop, and implement state-of-the-art generative AI models and open-source LLMs tailored to specific business needs. NLP Expertise: Apply advanced NLP techniques to enhance model performance in tasks such as text generation, summarization, translation, and sentiment analysis. Open-source Contribution: Actively contribute to and collaborate with the open-source community to improve and innovate on existing LLMs. Data processing: Knowledge of data processing frameworks and libraries such as Apache Spark, PyTorch, Pandas, NumPy, Scikit-learn, and TensorFlow. Experience in preparing and processing data for machine learning workflows should be a consideration. LLM Frameworks: Strong understanding of frameworks like LangChain or AutoGen for LLM-related candidates. Proficiency in leveraging these tools to build scalable and efficient solutions is essential. Model finetuning: Expertise in fine-tuning pre-trained models for specific use cases. Candidates should be skilled in optimizing model performance and adapting them to unique datasets to deliver high-quality results. Production ready applications: Expertise in frameworks such as FastAPI, Django, or similar tools. Candidates should demonstrate the ability to design, develop, and deploy machine learning models into a production environment. MLOps Integration: Develop and maintain robust MLOps pipelines for seamless deployment, monitoring, and management of AI models in production environments. Data Engineering: Collaborate with data engineers to ensure the availability of high-quality data for model training and validation. Research & Innovation: Conduct research to stay abreast of the latest advancements in generative AI, NLP, and open-source LLMs, and integrate new techniques into existing workflows. Performance Optimization: Optimize and fine-tune models for performance, scalability, and reliability, ensuring they meet production standards. Technical Leadership: Mentor junior developers, provide technical guidance, and participate in code reviews to uphold best practices in software development. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 4-5 years of hands-on experience in natural language processing and machine learning. Proficiency in programming languages such as Python, R, or Java. Extensive experience with NLP frameworks and libraries such as Hugging Face Transformers, spaCy, NLTK, and OpenAI GPT. Strong understanding of algorithms, data structures, and software design principles. Proven track record of deploying NLP models in production environments. Experience with MLOps tools and practices, including CI/CD pipelines, Docker, Kubernetes, and model monitoring. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Preferred Qualifications Experience with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of big data technologies like Hadoop, Spark, or Kafka. Familiarity with DevOps practices and tools.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Lead Data Scientist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Finicity, a Mastercard company, is leading the Open Banking Initiative to increase the Financial Health of consumers and businesses. The Data Science and Analytics team is looking for a Lead Data Scientist. The Data Science team works on Intelligent Decisioning; Financial Certainty; Attribute, Feature, and Entity Resolution; Verification Solutions and much more. Join our team to make an impact across all sectors of the economy by consistently innovating and problem-solving. The ideal candidate is passionate about leveraging data to provide high quality customer solutions. Also, the candidate is a strong technical leader who is extremely motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. Role Lead, mentor and grow the data science team and tech stack focused on developing production-grade services and capabilities Plan and direct data science / machine learning projects within the team. Design and implement machine learning models for a number of financial applications including but not limited to: Transaction Classification, Temporal Analysis, Risk modeling from structured and unstructured data. Measure, validate, implement, monitor and improve performance of both internal and external facing machine learning models. Propose creative solutions to existing challenges that are new to the company, the financial industry and to data science. Present technical problems and findings to business leaders internally and to clients succinctly and clearly. Leverage best practices in machine learning and data engineering to develop scalable solutions. Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team Be a strong, confident, and excellent writer and speaker, able to communicate your vision and roadmap effectively to a wide variety of stakeholders All About You: 8+ years in data science/ machine learning model development and deployments Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation and credit risk modeling is a plus. A strong understanding of NLP, Statistical Modeling, Visualization and advanced Data Science techniques/methods. Gain insights from text, including non-language tokens and use the thought process of annotations in text analysis. Solve problems that are new to the company, the financial industry and to data science SQL / Database experience is preferred Experience with Kubernetes, Containers, Docker, REST APIs, Event Streams or other delivery mechanisms. Familiarity with relevant technologies (e.g. Tensorflow, Python, Sklearn, Pandas, etc.). Strong desire to collaborate and ability to come up with creative solutions. Additional Finance and FinTech experience preferred. Bachelors or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S preferred Corporate Security Responsibility Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security. All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And Therefore, It Is Expected That The Successful Candidate For This Position Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-247932