1862 Keras Jobs - Page 21

Job Title: AI/ML Engineer Location: Coimbatore, India Experience: 1 to 3 years Employment Type: Full-time Job Summary: We are seeking a motivated and skilled AI/ML Engineer with 1–3 years of hands-on experience to join our team in Coimbatore. The ideal candidate will work on building and deploying AI/ML models that solve real-world problems across industries. Key Responsibilities: Design, develop, and deploy machine learning models and algorithms for real-world applications Preprocess and analyze structured and unstructured data Build scalable data pipelines and automate workflows Collaborate with data scientists, software engineers, and product teams to integrate ML solutions Monitor and optimize model performance and accuracy over time Stay current with the latest research and advancements in AI/ML Required Skills: Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning) Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, Keras, or PyTorch Experience with data manipulation tools (Pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, GCP) is a plus Experience with version control (Git) and agile development practices Strong analytical and problem-solving skills

You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv. Responsibilities Requisition ID R-10360039 Date posted 07/14/2025 End Date 07/31/2025 City Noida State/Region Uttar Pradesh Country India Location Type Onsite Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Specialist, Technical Business Analysis What does a great Business Analyst do in Fiserv? Consults with project teams and functional units on the design of important projects or services. Helps support existing business systems applications and demonstrates proficiency and leadership. Balances and prioritizes project work efficiently. Utilizing data to provide insights and actionable recommendations, they help inform decision-making and strategy development. What you will do The candidate for this position will leverage your expertise in data analysis, machine learning, and statistical modeling to uncover insights and develop predictive models that enhance our fraud rules. You will collaborate with cross-functional teams to analyze vast amounts of transactional data, identify patterns of fraudulent behavior, and continuously improve our monitoring systems. Your contributions will play a crucial role in enhancing the effectiveness of our solutions and protecting our clients from evolving threats. Must have excellent communication skills, as the role periodically interfaces with clients, vendors and business partners. What you will need to have: Bachelor's degree in Computer Science or Engineering, or relevant work experience IT experience with background in development. Minimum of 5 year’s experience in fraud analysis, investigations, or a related field, preferably in the financial services or e-commerce sector. Proficiency in programming languages such as Python or R for data analysis and model development. Familiarity with SQL for querying and managing relational databases. Solid understanding of statistical methods and techniques, including regression analysis, clustering, time series analysis, and classification. Excellent analytical skills with the ability to derive insights from complex datasets. Strong communication skills to effectively convey technical findings to non-technical stakeholders. Ability to work collaboratively in a fast-paced, team-oriented environment. Strong written and verbal communication skills, with the ability to present findings and recommendations clearly to stakeholders. Self-motivated, proactive, and able to work independently as well as collaboratively in a team environment. What would be great to have Knowledge of financial technologies, standards, and industry regulations (i.e., Payment Card Industry Data Security Standards) are highly preferred Knowledge of and experience with JIRA, Service Point and Confluence products. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras) and data manipulation libraries (e.g., Pandas, NumPy). Conclusion The role demands Analyze large datasets to identify trends, patterns, and anomalies that may indicate payment card compromises across a client’s portfolio and Develop, implement, and maintain predictive models and machine learning algorithms to enhance fraud detection capabilities. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the team and the role: As an ML Engineer at eBay's Risk team, you'll be part of an exciting journey that is instrumental in maintaining eBay to be a safe and trusted marketplace. The role involves working on critical projects related to the Risk product, which enhances the model lifecycle management for applied researchers, data scientist and ML engineers like yourself. This team is known for fostering an innovative culture and a collaborative environment, encouraging continuous learning and growth. The Risk Engineering team is a key player in keeping the marketplace safe for all buyers and seller. What you will accomplish: Drive innovations in building models using ML/NLP/AI to prevent fraud and increase trust at eBay marketplace. Collaborate across multifunctional teams to integrate cutting-edge ML solutions that directly impact eBay's Risk mitigation and fraud prevention. Implement and refine model deployment processes that facilitate quick and efficient model releases from offline to online environments. Contribute to multi-functional problem-solving activities, assisting in developing advanced technological solutions for complex business situations. Engage in continuous learning opportunities, staying updated with the latest industry trends and technologies to drive eBay's success further. What you will bring: At least 5 years of experience in building, training and productionalizing AI model or conventional models. Strong Expertise with Python, Keras, Tensor Flow, Pytorch, Scikit modules is a must have. Deep understanding of machine learning fundamentals, algorithms, and model evaluation techniques. Hands-on experience with ML Ops tools and best practices. Experience with OCR, NLP, vector search, embeddings, and LLM-based applications is strong desired. Experience in the close examination of data and computation of statistics. Expertise in building features in feature store. Proven skills in enhancing model lifecycle management, particularly within complex ML platforms. Ability to work effectively in a collaborative and agile environment, managing multiple projects simultaneously. Deep understanding of both CPU and GPU serving platforms, and effectively bridging technological gaps. Experience working in large-scale AI transformations within prominent product companies in a plus. Strong communication skills and the ability to articulate complex technical concepts to diverse audiences. Experience in adversarial space like risk, security, bot mitigation or ads, recommendation are a strong plus. Experience with prompt engineering + RAG with COT, COV to build production grade solution will be strongly desired. Educational Qualification: Bachelor’s or Master’s in CS, Engineering, Math, or related field; PhD preferred but not required. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

As a Python Developer, you will be responsible for leveraging your experience to build standard supervised (GLM ensemble techniques) and unsupervised (clustering) models using industry libraries such as pandas, sklearn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be crucial in this role. Your role will also involve significant experience in Python, encompassing tasks such as writing unit tests, developing packages, and crafting reusable and maintainable code. An essential aspect of your responsibilities will be the ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and tableau. Experience with continuous integration/development tools like Jenkins and Spark ML pipelines will be advantageous. We are looking for a self-starter who not only excels individually but also collaborates effectively with colleagues, bringing innovative ideas to enhance our collective mindset. For the ideal candidate, possessing an advanced degree with a strong foundation in the mathematical principles underpinning machine learning, such as linear algebra and multivariate calculus, would be a significant advantage. Additionally, expertise in specialized areas like reinforcement learning, NLP, Bayesian techniques, or generative models would be highly valued. Your ability to effectively present ideas and analytical findings in a compelling manner that influences stakeholders will be a key aspect of this role. Demonstrated experience in developing analytical solutions within an industry context and a genuine passion for utilizing data science ethically to enhance customer-centricity in financial services will set you apart. If you are ready to contribute to a dynamic team by applying your Python development skills and data science expertise to drive impactful solutions in the financial services sector, we encourage you to explore this opportunity further.,

Responsibilities Architect, design, test, implement, deploy, monitor, and maintain end-to-end backend services. You build it, you own it mentality. Integrate already trained ML and GenAI models (preferably GCP) in services. Work with people from other teams and departments on a day-to-day basis to ensure efficient project execution with afocus on delivering value to our members. Regularly aligning your team's vision and roadmap with the target architecture within your domain and ensuring the success of complex multi-domain initiatives. Requirements 2+ years of experience. Proven work experience as a Backend Python Engineer. Understanding of software engineering fundamentals (OOPS, SOLID, etc.) Hands-on experience with Python libraries like Pandas, NumPy, Scikit-learn, Langchain/LLamaIndex, etc. Experience with machine learning frameworks such as PyTorch or TensorFlow, Keras, and proficiency in Python. Hands-on experience with frameworks such as Django, FastAPI, or Flask. Hands-on experience with MySQL, MongoDB, Redis, and BigQuery (or equivalents. Extensive experience integrating with or creating REST APIs. Experience with creating and maintaining CI/CD pipelines - we use GitHub Actions. Experience with event-driven architecture. Knowledge about: LLMs, Vector stores/databases, Prompt Engineering, Embeddings, and their implementations. Some hands-on experience in implementations of the above ML/AI will be preferred. Experience with GCP/AWS services. You are curious about and motivated by the future trends in data, AI/ML, analytics, and digital experience (ref:hirist.tech)

Navaera Worldwide is a global, full-service firm specializing in advanced knowledge management products and services tailored to assist Financial organizations in enhancing operational efficiency, managing risk, detecting fraud, and gaining a competitive advantage. The company, a privately held entity, boasts a diverse client base across the globe, including major corporations within the financial services industry. Navaera Worldwide, under the brand Navaera Global Services, offers sophisticated business products and solutions to organizations of varying sizes. With offices situated across three continents, Navaera Worldwide's global headquarters is based in New York, with additional locations in Toronto, Canada, and Baroda, India. As a Specialist in Emerging Systems Engineering, you will be expected to possess a solid 3 to 5 years of experience range and be adept at working in areas such as Data Analytics, Computer vision, NLP, and OCR-related tasks. Your responsibilities will include data collection, dataset preparation, architecture modeling, model training/testing, and deployment. Additionally, you should have experience in managing digital data extraction and processing, creating training and testing pipelines with diverse data aspects, and developing model architectures from scratch or modifying pre-trained models. The ideal candidate must stay updated with the latest AI trends to ensure operational processes remain current. You will be required to identify opportunities for process enhancements, propose system modifications, and work with minimal technical supervision while efficiently managing multiple program priorities. Collaboration within a team environment is crucial, as you will be tasked with driving cross-team solutions that may have complex dependencies and requirements. Your qualifications should include a B.E./B.Tech in Computer Science/Statistics/IT/ECE stream, with an M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent. You should have 3-5 years of hands-on experience in data science, machine learning, and deep learning, along with proficiency in C/C++/Java/Python for developing machine learning and deep learning solutions. Experience in building and deploying Machine Learning solutions using various supervised and unsupervised ML algorithms is essential. Moreover, you should have at least 3-5 years of practical experience with Python and frameworks such as TensorFlow, PyTorch, or MXnet. A good command of ML libraries like scikit-learn, NumPy, pandas, and Keras, as well as natural language processing using NLTK, spaCy, and Gensim, is required. Strong communication and interpersonal skills, familiarity with decision science tools and techniques, excellent problem-solving abilities, and the capacity to work efficiently in a fast-paced, deadline-driven environment are all highly valued in this role. Demonstrating a strong work ethic, a sense of collaboration, and ownership is imperative for success within the organization.,

As a Senior Data Scientist with 5+ years of experience, you will be responsible for designing and implementing models, mining data for insights, and interpreting complex data structures to drive business decision-making. Your expertise in machine learning, including areas such as NLP, Machine vision, and Time series, will be essential in this role. You will be expected to have strong skills in Model Tuning, Model Validation, Supervised and Unsupervised Learning, and hands-on experience with model development, data preparation, training, and inference-ready deployment of models. Your proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis will help in developing code for reproducible analysis of data. Experience with AWS services like Sagemaker, Lambda, Glue, Step functions, and EC2 is necessary, along with knowledge of Databricks, Anaconda distribution, and similar data science code development and deployment IDEs. Your familiarity with ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis will be highly valued. You should have expertise in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. End-to-end model deployment and production experience of at least 1 year is required, along with a good understanding of Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker. Basic knowledge of deep learning algorithms such as MaskedCNN, YOLO, and familiarity with Visualization and analytics/Reporting Tools like Power BI, Tableau, and Alteryx will be considered advantageous for this role.,

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company, you will play a crucial role in designing and developing advanced systems for video data processing and analysis. You will be part of a team that excels in creating innovative solutions using computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Join our team in Vadodara, Gujarat, and be a part of our internal Computer Vision/Video Analytics team. This team focuses on applied research and is essential in deploying perception algorithms across our products. You will be involved in the entire product lifecycle - from ideation to deployment, giving you the opportunity to witness the impact of your work firsthand. With a minimum of 2 years of experience and a qualification in B.E/B.tech/M.E/M.tech in relevant fields, you should have good experience in Deep Learning/Computer Vision projects. Your technical skills should include working with Neural networks, CNN, deep learning frameworks such as TensorFlow, PyTorch, or Keras, and optimizing models for different hardware platforms. You will lead in the creation of systems, algorithms, and optimizations for all things computer vision. Your day-to-day activities may include designing and implementing algorithms, integrating video analytics solutions, collaborating with cross-functional teams, troubleshooting issues, and researching new technologies to enhance video analytics capabilities. Join us and be part of an Indian Tech Company that is creating innovative products for the world, right from India. Enjoy a competitive salary, generous leave schedule, company-paid medical insurance for the whole family, and a rewarding work environment that encourages you to do your best work. If you are a dynamic and solution-driven Software Engineer with a passion for technology and innovation, this is the opportunity for you. Join us and be a part of a challenging yet encouraging environment where you can unleash your potential and make a real impact.,

As an AI Developer, you will be responsible for designing, developing, optimizing, and implementing AI systems to meet business requirements. You will monitor the performance of deployed scalable AI models and frameworks, making necessary adjustments or updates to enhance accuracy and reliability. In case of any issues or bugs during operation, you will address them promptly. Collaborating with cross-functional teams, you will analyze business needs, define problems, and identify the goals and requirements of AI systems. Working closely with the development team, you will ensure seamless AI development and integration. You will define APIs and protocols for communication between AI systems and external services. It will also be part of your responsibility to document AI models and infrastructure, processes, and practices for reference. You will present progress to the leadership team and stakeholders. Implementing strong data security and privacy measures for data handled in AI applications will be crucial. Staying current with emerging AI research and technologies is essential. You will initiate innovative solutions and improvements to advance our AI capabilities. Additionally, you will conduct training sessions and share knowledge and expertise in AI with the team. Requirements: - Bachelor's degree in Computer Science, IT, Data Science, or related field - 1-2 years of experience in AI development, Natural Language Processing, and Large Language Models - Proven track record of deploying AI models in production - Proficiency in programming languages such as Python, JavaScript, or C++ - Experience in JAVA is a plus - Knowledge of SQL and NoSQL databases - Experience with machine learning frameworks and libraries (TensorFlow, Keras, PyTorch, Scikit-learn) - Familiarity with machine learning models & algorithms, cloud computing platforms (AWS, Microsoft Azure, Google Cloud Platform), containerization (Docker, Kubernetes), deep learning, Natural Language Processing (NLP), and/or Natural Language Generation (NLG) - Eagerness to learn and continuously expand knowledge in emerging fields - Strong interpersonal and communication skills with a willingness to collaborate with different teams.,

As an AI Innovation Engineer within the Business Process Automation team at Hitachi Energy, your role will involve designing AI-powered solutions to handle complex, repetitive, or decision-driven tasks. You will be responsible for creating and optimizing generative models such as GANs and VAEs for various applications like content creation and data augmentation. Additionally, you will work on developing AI solutions that integrate multiple data modalities to create cohesive and intelligent systems. Your responsibilities will also include developing and implementing POCs using MaaS platforms like Azure OpenAI and Google Vertex AI, configuring, training, and deploying AI Agents, and building APIs and pipelines to integrate AI capabilities into existing tools and workflows. You will collaborate closely with cross-functional teams to gather requirements, test solutions, and roll out AI-driven systems while translating technical concepts into actionable insights for both technical and non-technical audiences. To be successful in this role, you are required to have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field along with a minimum of 7 - 10 years of experience in AI and machine learning, with a strong focus on generative models, Agentic AI, and multimodal AI. Proficiency in programming languages such as Python and experience with AI frameworks like TensorFlow, PyTorch, and Keras is essential. Strong analytical and problem-solving skills, excellent communication and teamwork skills, and experience with project management methodologies and tools are also necessary for this position. It is crucial to stay updated on the latest trends in AI, including advancements in MaaS platforms, Large Language Models (LLMs), and natural language interfaces, to effectively contribute to the Shared Services automation initiatives at Hitachi Energy. Join us in advancing a sustainable energy future and be a part of a global team where Diversity + Collaboration = Great Innovation.,

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Bank's Global Banking team, you’ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology, help transform business requirements into AI/ML specifications, define milestones and ensure timely delivery. Work with product and business teams to define goals and roadmaps, maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor junior team members in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution and ensure accountability. Required Qualifications, Capabilities, And Skills Formal training or certification on Predictive Science concepts and 5+ years applied experience Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning, artificial intelligence and ability to set teams up for success in speed and quality, design effective metrics and hypotheses. Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark, strong grasp on vector operations using numpy, scipy and strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc., Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members, effective communication, solid negotiation skills, and strong leadership. Preferred Qualifications, Capabilities, And Skills 14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience. Experience working at code level About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About The Team And The Role As an ML Engineer at eBay's Risk team, you'll be part of an exciting journey that is instrumental in maintaining eBay to be a safe and trusted marketplace. The role involves working on critical projects related to the Risk product, which enhances the model lifecycle management for applied researchers, data scientist and ML engineers like yourself. This team is known for fostering an innovative culture and a collaborative environment, encouraging continuous learning and growth. The Risk Engineering team is a key player in keeping the marketplace safe for all buyers and seller. What You Will Accomplish Drive innovations in building models using ML/NLP/AI to prevent fraud and increase trust at eBay marketplace. Collaborate across multifunctional teams to integrate cutting-edge ML solutions that directly impact eBay's Risk mitigation and fraud prevention. Implement and refine model deployment processes that facilitate quick and efficient model releases from offline to online environments. Contribute to multi-functional problem-solving activities, assisting in developing advanced technological solutions for complex business situations. Engage in continuous learning opportunities, staying updated with the latest industry trends and technologies to drive eBay's success further. What You Will Bring At least 5 years of experience in building, training and productionalizing AI model or conventional models. Strong Expertise with Python, Keras, Tensor Flow, Pytorch, Scikit modules is a must have. Deep understanding of machine learning fundamentals, algorithms, and model evaluation techniques. Hands-on experience with ML Ops tools and best practices. Experience with OCR, NLP, vector search, embeddings, and LLM-based applications is strong desired. Experience in the close examination of data and computation of statistics. Expertise in building features in feature store. Proven skills in enhancing model lifecycle management, particularly within complex ML platforms. Ability to work effectively in a collaborative and agile environment, managing multiple projects simultaneously. Deep understanding of both CPU and GPU serving platforms, and effectively bridging technological gaps. Experience working in large-scale AI transformations within prominent product companies in a plus. Strong communication skills and the ability to articulate complex technical concepts to diverse audiences. Experience in adversarial space like risk, security, bot mitigation or ads, recommendation are a strong plus. Experience with prompt engineering + RAG with COT, COV to build production grade solution will be strongly desired. Educational Qualification Bachelor’s or Master’s in CS, Engineering, Math, or related field; PhD preferred but not required. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. Embark on a transformative journey with JPMorgan as we evolve into a technologically advanced, client-focused company. We're seeking top talent for our AI engineering team to integrate machine learning into our key products, working closely with our tech partners. This role, part of the Payments Trust & Safety Team, offers a unique opportunity to influence the financial services industry by developing impactful Machine Learning solutions. Join us in building next-gen technology that leverages JPMorgan's unique data and full-service advantage to create high-impact AI applications and platforms. As a Applied AI ML Lead within the Payments AI/ML team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results. You will hire and lead a team of ML scientists as we set out to solve impactful business problems at JPMC. Job Responsibilities Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions. Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact. Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required Qualifications, Capabilities And Skills Formal training or certification on software engineering concepts and 5+ years applied experience MS or PhD and a degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Java, Python or other equivalent languages. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB. Strong analytical and critical thinking skills. Self-motivation, great communication skills and team player. Preferred Qualifications, Capabilities And Skills Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes. Experience in big data technologies: Hadoop, Hive, Spark, Kafka. Experience in distributed system design and development About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Hi, Wishes from GSN!!! Pleasure connecting with you!!! We been into Corporate Search Services for Identifying & Bringing in Stellar Talented Professionals for our reputed IT / Non-IT clients in India. We have been successfully providing results to various potential needs of our clients for the last 20 years. At present, GSN is one of our leading MNC client. PFB the details for your better understanding: WORK LOCATION: Bangalore Job Role: Python AIML Developer EXPERIENCE: 5 Yrs - 14 Yrs CTC Range: 25 LPA -35 LPA Work Type: WFO All 5 Days Responsibilities: Expertise in Python: Design, develop, and maintain robust and scalable back-end APIs using Python and relevant frameworks. Implement efficient algorithms and data structures to handle complex calculations and data processing. Integrate with various databases and third-party APIs for data access and functionality. Ensure code quality through unit testing, code reviews, and best practices. Analyze and understand raw data & Develop data pipelines to wrangle data ML model development and algorithm design. Interpret trends and patterns, visualization tool, python graph libs. Good knowledge of python, DS, Pandas, Scykit, NumPy, TensorFlow, keras, etc. Open AI, GCP - AI services (vertex AI, etc.), Azure - AI services, Aws- AI services, MLops, NLP. Contribute to CI/CD pipelines for automated deployments and testing using Kubernetes. Application of opensource and commercial large language models (Desired) Application of machine learning algorithms and techniques for natural language processing. (Desired) If interested, kindly APPLY for IMMEDIATE response Thanks & Rgds SHOBANA GSN | Mob : 8939666294 (Whatsapp) | Email :Shobana@gsnhr.net | Web : www.gsnhr.net Google Reviews : https://g.co/kgs/UAsF9W

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 Senior Data Scientist We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role: Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You: :• Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL • •Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, •Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, •Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil •Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. •Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost •Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science 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.

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 Manager, Data Scientist Our Vision AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience 3+ years of experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: o Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL o Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning o Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil o Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing o Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: o Confluence (Documentation) o Bitbucket/Stash (Code Sharing) o Shared Folders (File Sharing) o ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required 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.

Key Responsibilities: Design, develop, and deploy AI models focusing on Generative AI, LLMs, small language models, and AI agents for automation and chat-based applications. Develop and implement autonomous AI agents capable of handling real-time decision-making and workflow automation. Integrate AI solutions into products, leveraging tools like Make.com, n8n, and similar automation frameworks for seamless workflows. Optimize AI models for efficiency, scalability, and real-world application in production environments. Develop and fine-tune LLMs and small language models tailored for specific business needs. Implement AI-powered automation for customer support, process optimization, and intelligent decision-making. Collaborate with data scientists, engineers, and product managers to define AI-driven solutions that enhance business operations. Ensure high-performance AI models by implementing best practices in data processing, model training, evaluation, and deployment. Mentor junior AI engineers and contribute to knowledge sharing within the team. Stay ahead of the curve by researching emerging AI trends and evaluating their potential impact on business strategies. Required Skills and Experience Experience: 1 year of hands-on experience Proven track record of building and deploying AI-powered chatbots, AI agents, and workflow automation tools. Technical Expertise: Strong programming skills in Python (preferred) and experience with AI/ML frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with LLM fine-tuning, model compression, and small language models for efficiency. Familiarity with Make.com, n8n, LangChain, AutoGPT, or other agentic AI tools for automation. Strong understanding of NLP, conversational AI, and chatbot development. Experience in cloud platforms like AWS, Google Cloud, or Azure for AI model deployment. Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques. Experience with big data technologies such as Hadoop, Spark, or similar is a plus. Preferred Qualifications: Experience integrating AI models into business workflows to enhance automation and efficiency. Familiarity with API development and integrations to connect AI services with other systems. Exposure to MLOps and AI model lifecycle management. Knowledge of prompt engineering and AI model optimization techniques. Job Type: Full-time Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Provident Fund Schedule: Day shift Experience: AI/ML: 1 year (Required) Work Location: In person

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Provides technical direction for the development, design, and systems integration across multiple client engagements from definition phase through implementation Using azure infra for deployment/maintenance of applications Lead the design, development, and deployment of machine learning models and AI systems to address healthcare challenges Conduct exploratory data analysis (EDA), statistical analysis, and feature engineering to interpret complex healthcare data to provide actionable insights Collaborate with cross-functional teams, including clinicians, researchers, and IT, to identify business needs and translate them into technical solutions Develop and implement advanced algorithms and statistical models to solve healthcare-specific problems, such as predictive analytics, patient risk stratification, and medical image analysis Optimize and enhance existing machine learning models for better performance and scalability in healthcare settings Develop and integrate generative AI models and large language models (LLMs) for tasks such as medical text generation, data augmentation, and synthetic data generation Stay updated with the latest advancements in AI/ML technologies and integrate them into ongoing healthcare projects Analyze, design, Code, Review, Integrate, Implement, Install, Deploy and Maintenance of the computer programs and software components using specific tools and latest technologies including Java/J2EE, Web services (REST and SOAP), Microservices Framework, Apache Kafka, Spring Boot, Kubernetes, and Docker, JSON, Node JS, Casandra, GraphQL etc. Design, develop, and maintain robust and scalable RESTful APIs for data exchange between healthcare systems Mentor and guide junior data scientists and engineers, fostering a culture of continuous learning and improvement Ensure data integrity, accuracy, and security, complying with healthcare regulations such as HIPAA Develop and maintain documentation for models, processes, and systems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field Experience in data science, machine learning, or AI engineering roles like GenAI, Statistical Analysis, Data Mining, and Data Visualization, ML framework and libraries TensorFlow, PyTorch, scikit-learn, and Keras Experience as a Full Stack Engineer with Solid proficiency in Java, SpringBoot, Python or other backend programming languages Experience with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes) Solid understanding of database concepts, distributed systems, and data warehousing principles Preferred Qualifications: Master’s degree Azure certifications Familiarity with the US Healthcare domain At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #Nic

Job Requirements Experience: 8–15 years Location: Hosur Employment Type: Full-Time Department: R&D – Vision & AI Systems Role Summary: We are looking for a highly capable Computer Vision Software Engineer with 4–7 years of experience in developing robust vision algorithms using OpenCV, Python, and custom mathematical logic. The ideal candidate must possess strong analytical thinking, object-oriented design principles, and a solid understanding of Cartesian coordinate systems. Robotics experience is a strong advantage. Key Responsibilities: Design and develop software solutions for computer vision systems using OpenCV and custom image processing algorithms. Build, optimize, and maintain deep learning models using TensorFlow/Keras for classification, detection, and segmentation. Very good at CNN. Knowing RNN is an added advantage. Implement mathematical models and custom algorithms to solve vision challenges like part localization, orientation, and defect detection. Apply strong logical reasoning to break down complex problems into efficient and scalable solutions. Collaborate closely with robotics, automation, and software teams to deploy vision algorithms in real-time systems. Contribute to software architecture and development with a focus on clean, modular, and reusable code. Work with Cartesian coordinate systems and apply kinematics understanding for vision-to-robot interaction. Work Experience Required Skills & Qualifications: 8–15 years of hands-on experience in computer vision software development. Strong expertise in OpenCV and writing custom image processing algorithms. Solid understanding of mathematics (linear algebra, geometry, probability) relevant to vision and AI. Excellent logical thinking and problem-solving ability. Proficiency in Python programming with good understanding of Object-Oriented Programming (OOPs). Experience with TensorFlow/Keras and AI workflows (data prep, training, validation, deployment). Good grasp of Cartesian coordinate systems, with kinematics knowledge (forward/inverse) preferred. Experience in robotics or working alongside robotic platforms is an added advantage. Desirable (Nice to Have): Knowledge of vision system integration in robotics applications (e.g., pick & place, inspection). Exposure to industrial automation, manufacturing, or automotive environments. Experience with source control (Git), deployment tools, and agile workflows. What We Offer: Opportunity to work on cutting-edge AI and vision technologies deployed in real-world environments. Collaborative team culture with opportunities for innovation, IP development, and growth. Hands-on involvement in both core algorithm development and system-level integration.

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Ahmedabad, Gujarat (Required) Work Location: In person

Job Summary: We are looking for a highly skilled and motivated AI/ML Expert to lead the development and deployment of advanced machine learning models and AI solutions. The ideal candidate will have strong experience in data science, deep learning, and AI engineering, and will be responsible for designing intelligent systems that solve real-world business problems. Key Responsibilities: Design, build, and deploy scalable machine learning and deep learning models. Work on projects involving supervised, unsupervised, and reinforcement learning. Collect, clean, and preprocess large-scale structured and unstructured datasets. Research and prototype cutting-edge AI techniques (e.g., NLP, computer vision, generative models). Collaborate with data engineers, product managers, and software developers to integrate AI solutions into production. Monitor and evaluate model performance, and implement improvements as needed. Stay up-to-date with the latest AI/ML research, tools, and technologies. Develop and maintain reusable ML pipelines and model lifecycle management. Ensure ethical AI development practices, including model interpretability and fairness. Required Qualifications: Graduate BE/B.Tech and Postgraduate - MCA/MTech with specialization in computers /Electronics /IT or M.Sc.in CS/IT/Physics/Mathematics/Stats / Electronics Language-: JS , Python , HTML5/CSS, Platform-: MySQL , PostgreSQL, Tools-: ML Tools and Libraries, Expertise-: API Integration Expert 3+ years of experience in AI/ML development and deployment . Proficiency in programming languages such as Python (e.g., scikit-learn, TensorFlow, PyTorch), R, or Julia. Experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Strong understanding of statistics, linear algebra, and optimization techniques. Experience with cloud platforms like AWS, GCP, or Azure. Proficient in using data science tools and libraries (NumPy, Pandas, OpenCV, spaCy, Hugging Face, etc.). Job Type: Contractual / Temporary Contract length: 12 months Pay: ₹85,000.00 - ₹90,000.00 per month Benefits: Provident Fund Schedule: Day shift Work Location: In person

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Ahmedabad, Gujarat (Required) Work Location: In person

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Level : Senior Associates Line of Service : Business services support At PwC, our people in the AI, Technology and Innovation team are part of a Global team with our team members sitting across our Acceleration Center (AC) locations including India. This team is focused on leveraging advanced technologies and techniques to design and develop robust data solutions for the Acceleration centre . They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth by creating products and platforms that re-imagine the way we drive our clients to the Leading edge. Scope Of Responsibility Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Design, develop, and maintain software solutions for GenAI projects. Implement event-driven architectures to enable real-time data processing and analysis. Utilize containerization technologies for efficient deployment and scalability. Develop and maintain data lakes for storing and managing large volumes of structured and unstructured data. Utilize Python as the primary programming language for software development. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance software engineering processes. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Document software engineering processes, methodologies, and best practices. Maintain solution architecture certificates and stay current with industry best practices. Strategic & Technical Orientation / Job Content Proficiency in Python and software engineering best practices for AI systems is a must 3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes 1+ years experience in designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Range Of Impact Deep understanding of state-of-the-art AI architectures Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. Have strong knowledge of data structures, algorithms, and software engineering principles. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Familiar with cloud-based platforms and services, such as Azure or AWS

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Level : Senior Associates Line of Service : Business services support At PwC, our people in the AI, Technology and Innovation team are part of a Global team with our team members sitting across our Acceleration Center (AC) locations including India. This team is focused on leveraging advanced technologies and techniques to design and develop robust data solutions for the Acceleration centre . They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth by creating products and platforms that re-imagine the way we drive our clients to the Leading edge. Scope Of Responsibility Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Design, develop, and maintain software solutions for GenAI projects. Implement event-driven architectures to enable real-time data processing and analysis. Utilize containerization technologies for efficient deployment and scalability. Develop and maintain data lakes for storing and managing large volumes of structured and unstructured data. Utilize Python as the primary programming language for software development. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance software engineering processes. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Document software engineering processes, methodologies, and best practices. Maintain solution architecture certificates and stay current with industry best practices. Strategic & Technical Orientation / Job Content Proficiency in Python and software engineering best practices for AI systems is a must 3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes 1+ years experience in designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Range Of Impact Deep understanding of state-of-the-art AI architectures Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. Have strong knowledge of data structures, algorithms, and software engineering principles. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Familiar with cloud-based platforms and services, such as Azure or AWS