3118 Keras Jobs

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS 10+ years of professional or military experience, including a Bachelor's degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. PREFERRED QUALIFICATIONS 10+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. Key job responsibilities A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS 7+ years of professional or military experience, including a Bachelor's degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. PREFERRED QUALIFICATIONS 7+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS 10+ years of professional or military experience, including a Bachelor's degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. PREFERRED QUALIFICATIONS 10+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. Key job responsibilities A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS 7+ years of professional or military experience, including a Bachelor's degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. PREFERRED QUALIFICATIONS 7+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Description Are you a highly skilled Technical Manager with a passion for innovation and a proven track record in designing and developing cutting-edge products and services? If you excel in Java 17, Spring/Hibernate, Kafka/ZK, SQL, and advanced Java troubleshooting, and possess experience with Kubernetes and cloud technologies, we invite you to apply. Familiarity with Linux is essential, and knowledge of the Optics domain or NMS is a significant plus. This role demands a proactive individual who thrives in a collaborative environment, is eager to learn and explore new technologies, and can mentor team members while designing innovative features and applications. Apply now and contribute your expertise to our dynamic team! How You Will Contribute And What You Will Learn As part of the team, you will: Perform high level designing using programming languages such as Java 17, Spring/Hibernate, KAFKA/ZK, SQL, Advanced Java Troubleshooting. Utilize Kubernetes and cloud technologies. Have familiarity with Linux. Possess knowledge of the Optics domain which is a value add. Have knowledge of NMS which is also a value add. Be ready to learn and explore new technologies. Demonstrate the ability to design new features and applications. Mentor team members technically. When you come onboard with Nokia's Network Automation organization as a Principal Technical Specialist - Java Architect, you are guaranteed to have an enriching experience both in terms of technologies and applications. Moreover, you will have the opportunity to work with people who are always ready to share and co-learn from each other. Key Skills And Experience You have: 8-12 as programmer 5-8 years as architect Architectural patterns Languages: Java, Python/Shell - Handy experience, golang – plus Frameworks: Spring or Guice or Micronaut, Pandas/keras/pytorch/scipy/numpy, Kafka/Spark Databases: SQL Postgres/Oracle, NSQL Elastic/Prometheus/Mongo/Cassandra/Redis/Pinot Domain: NME/EMS for telecom domain If not, OLTP/RealTime system management in enterprise software, Large scale and small scale development experience Modeling: Ability to do modeling of domain Data Engineering: Understand Statistical analytics, understand ML big data and small data models. AI experience: Understand AI/ML techniques (Supervised/Unsupervised learning, linear regression, Neural Networks) About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed. About The Team The pandemic has highlighted how important telecoms networks are to society. Nokia’s Network Infrastructure group is at the heart of a revolution to bring more and faster network capacity to people worldwide through our ambition, innovation, and technical expertise.

Job Description As a Senior Technical Specialist, you will play a key role in developing and maintaining network management applications for optical transport technologies, ensuring efficient configuration, fault supervision, and performance monitoring. You will leverage your expertise in data science and machine learning to enhance network management capabilities, applying advanced models and feature engineering techniques. With strong proficiency in Python, Java, GoLang, and cloud-based technologies, you will drive innovation, optimize performance, and enable seamless deployments through CI/CD pipelines. Your adaptability and leadership will help mentor junior developers, foster collaboration, and navigate the fast-paced, evolving landscape of optical network management. This role offers the opportunity to make a significant impact on global deployments while continuously learning and growing in a cutting-edge technological environment. How You Will Contribute And What You Will Learn Network Management of Optics Division products, including Photonic/WDM, Optical Transport, and SDH/SONET. Optics Network Management applications provide users with control over the network, including configuration (infrastructure, end-to-end services), fault supervision, and performance monitoring. These applications interface with various Network Elements, provide a user-friendly graphical interface, and implement algorithms and functions to facilitate network management and reduce OPEX. Optics Network Management applications are deployed worldwide in hundreds of installations, serving both large enterprises and small customers. The Software Development Engineer for Optics Network Management will be part of the development team, contributing to new developments and maintaining applications to enhance functionality and customer satisfaction. Key Skills And Experience You have: Bachelor’s degree or equivalent, with 7 to 12 years of experience as a Data Scientist. Analyze data and apply appropriate models (univariate, multivariate). Expertise in various learning models, including supervised, unsupervised, and different neural network variations. Proficient in applying probabilistic and stochastic models to different datasets and performing feature engineering for various models. Stay up to date with the capabilities and limitations of different models and distinguish between real-time and batch processing needs. Strong domain knowledge or the ability to learn the Optical Transport domain for effective feature engineering. It would be nice if you also had: Proficiency in NumPy, Pandas, PyTorch, SciPy, Keras, TensorFlow, GoLang, and corresponding packages for Java and Python, as well as various Time Series databases. Ability to differentiate between Proof-of-Concept mode and deployment for small- and large-scale data using CI/CD pipelines. Adaptability to rapidly evolving technology and tools, with a proven ability to learn quickly. About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed.

Artificial Intelligence & Machine Learning Intern (Remote | 3 Months) Company: INLIGHN TECH Location: Remote Duration: 3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About INLIGHN TECH INLIGHN TECH empowers students and recent graduates through hands-on, project-based internships. Our AI & ML Internship is tailored to develop your expertise in building intelligent systems using real-world datasets and machine learning algorithms. Role Overview As an AI & ML Intern , you’ll work on projects involving model development, data preprocessing, and algorithm implementation. You'll gain practical experience applying artificial intelligence concepts to solve real business problems. Key Responsibilities Collect and preprocess structured and unstructured data Implement supervised and unsupervised machine learning algorithms Work on deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance and tune hyperparameters Develop intelligent solutions and predictive systems Collaborate with peers on AI-driven projects Requirements Pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field Proficient in Python and libraries such as Pandas, NumPy, Scikit-learn Familiar with machine learning and deep learning concepts Knowledge of TensorFlow, Keras, or PyTorch is a plus Strong mathematical and analytical thinking Enthusiastic about AI/ML innovations and eager to learn What You’ll Gain Real-world experience developing AI and ML models Internship Completion Certificate Letter of Recommendation for high-performing interns Portfolio of AI/ML projects for career building Potential full-time offer based on performance

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Employee Platforms team, you serve as a seasoned member of an Incubation and Research team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. This role requires a unique ability to apply state-of-the-art technical skills, work with ambiguity, and deliver projects to completion. You will be instrumental in developing innovative solutions, finding market fit, and delivering products that resonate with our users. As a hands-on engineer, you will bring in cutting-edge technologies, including Generative AI and ML. Job Responsibilities Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Embrace ambiguity and lead the development of innovative solutions without a predefined roadmap. Implement the Build-Measure-Lean loop by rapidly prototyping, testing, and iterating on engineering solutions. Analyze user feedback and technical challenges to refine product offerings and ensure alignment with user needs. Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems. Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture. Contribute to software engineering communities of practice and events that explore new and emerging technologies. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience in Python, SQL, advanced GenAI technologies like multimodality (Voice & Images), Agentic AI and ML technologies Highly proficient in coding in one or more languages such as Python, SQL, Java and R programming languages Experience with one or more platform tech stacks such as AWS, Docker, Kubernetes, Data bricks and CI/CD pipelines. Solid understanding of using ML techniques specially in Natural Language Processing (NLP), Knowledge Graph and Large Language Models (LLMs) Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search) Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, application resiliency, and security Preferred Qualifications, Capabilities, And Skills Proficiency in optimizing and tuning AI models to ensure efficient, scalable solutions, with experience in building and deploying ML models on cloud platforms such as AWS and using tools like Sagemaker and EKS. Knowledge of data engineering practices to support AI model training and deployment, along with a strong understanding of machine learning algorithms and techniques—including supervised, unsupervised, and reinforcement learning—and hands-on experience with libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Skills in collaborating with cross-functional teams to integrate generative AI solutions into broader business processes and applications, leveraging advanced LLM techniques such as Agents, Planning, and Reasoning. In-depth understanding of embedding-based search/ranking, recommender systems, graph techniques, and other advanced methodologies to enhance AI solution capabilities.

Description Sony is looking for a Deep Learning engineer who has strong knowledge and experience in design and development of Deep learning models according to business objectives. In this role, the candidate must analyse the requirements, prepare design and implement Deep Learning solutions. This requires a sound understanding of ML and Deep Learning fundamentals, libraries and frameworks, end-to-end ML development pipeline. Literature survey of SOTA models as per business requirements and AS-Is reproduction of Deep Learning models. Design and development of CNN models according to the business objective, along with metrics to track their progress. Optimize the CNN models in terms of trainable parameters and MAC operations to meet the target platform. Debug the intermediate as well as final layer output of trained model using various explainable AI methods. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world and Evaluation approaches for model development. Training models and tuning their hyperparameters. Analysing the errors of the model and designing strategies to overcome Set Required : Advanced Python Programming. Image processing using OpenCV. Keras, To Have Skills : Deep knowledge of math, probability, statistics and algorithms. CNN Development Advanced. OOPS : Required : Deep learning, python, Computer Vision, machine learning, Keras, Tensorflow, Image : Analyse customer requirements. Design and Implement features requested by customer. Verify, finetune solution and model and artefacts. Validation of quality as per requirements. Customer communication. Also mentor junior members and ensure quality of deliverables in the : : Qualifications Bachelors or Masters in Computer Science, Engineering, Mathematics or related. 3 to 5 years of experience with ML libraries and frameworks, DNN model development, data visualization and preparation, advanced python programming, Skills : OOPS, Algorithm Of Exp : 4 to 7 : Technical Specialist. (ref:hirist.tech)

As an AI/ML Engineer within our platform operations team, your main role will involve the design, construction, and maintenance of our AIOps solution. You are expected to possess a deep knowledge of AI/ML technologies, IT infrastructure, and platform engineering. **Job Responsibilities:** - Lead the design, development, and deployment of generative AI solutions, ensuring alignment with business objectives and technical requirements. - Provide mentorship and guidance to junior engineers. - Demonstrate deep expertise in generative AI technologies, contributing to the development of POCs and evaluating new methodologies to enhance AI capabilities. - Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code. - Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality. - Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects. - Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems. - Collaborate with cross-functional teams to evaluate and refine architectural designs for AI systems, ensuring scalability and robustness. - Actively participate in communities of practice to promote the adoption and awareness of new generative AI technologies, fostering a culture of continuous innovation. **Required qualifications, capabilities, and skills:** - Minimum 7+ years of strong proficiency in Python or Java, with the ability to architect and build complex AI models from scratch. - Two years of experience in generative AI development and prompt engineering. - Proven experience in system design, application development, testing, and operational stability in AI projects. - Minimum of 5+ years of strong experience with React or Angular. - 2+ years of AWS experience is a must-have. - Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects. - Experience with LLM models and agentic tools. **Preferred qualifications, capabilities, and skills:** - Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions. - Familiarity with data engineering practices to support AI model training and deployment. - Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications. - Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning. - Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.,

As a Senior AI/ML Developer at Capgemini, you will play a crucial role in designing and architecting scalable and efficient generative AI models and systems. Your responsibilities will include: - Developing and implementing generative AI algorithms for various applications, such as text generation, image synthesis, and more. - Collaborating with data scientists, machine learning engineers, Integration engineers, UI Developers, and software developers to integrate AI models into production environments. - Leading the development of AI-powered applications and services, ensuring they meet performance, scalability, and reliability requirements. - Staying updated with the latest advancements in Gen AI, LLMs, Gen AI Frameworks, Cloud technologies, AI, and machine learning, and applying them to improve existing systems and processes. - Providing technical guidance and mentorship to team members and stakeholders. - Conducting research and experiments to push the boundaries of generative AI capabilities. Qualifications required for this role include: - Master's or PhD degree in Computer Science, Engineering, Mathematics, or a related field. - 7+ years of experience in AI/ML development, with a focus on generative models. - Strong proficiency in programming languages such as Python, Java, or C++. - Extensive experience with AI/ML frameworks and libraries like TensorFlow, PyTorch, and Keras. - Proven track record of designing and deploying AI systems in a production environment. - Deep understanding of neural networks, natural language processing, and generative models (e.g., GANs, VAEs, Transformers). - Excellent problem-solving skills and the ability to think critically and creatively. - Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams. - Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes). At Capgemini, you will have the opportunity to shape your career, work on cutting-edge projects in tech and engineering, and create solutions to overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world while creating tangible impacts for enterprises and society. With a diverse team of over 340,000 members in more than 50 countries, Capgemini has a strong heritage and is trusted by clients worldwide to unlock the value of technology.,

You will be responsible for designing data pipelines and engineering infrastructure to support clients" enterprise machine learning systems at scale. Additionally, you will be tasked with taking offline models data scientists build and transforming them into real machine learning production systems. Your role will involve developing and deploying scalable tools and services for clients to handle machine learning training and inference efficiently. You will need to identify and evaluate new technologies to enhance the performance, maintainability, and reliability of clients" machine learning systems. It is essential to apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Furthermore, you will support model development with a focus on auditability, versioning, and data security. Your responsibilities will also include facilitating the development and deployment of proof-of-concept machine learning systems and communicating with clients to gather requirements and track progress. Qualifications: - Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent) - Strong software engineering skills in complex, multi-language systems - Fluency in Python - Comfort with Linux administration - Experience working with cloud computing and database systems - Experience building custom integrations between cloud-based systems using APIs - Experience developing and maintaining ML systems built with open source tools - Experience developing with containers and Kubernetes in cloud computing environments - Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.) - Ability to translate business needs to technical requirements - Strong understanding of software testing, benchmarking, and continuous integration - Exposure to machine learning methodology and best practices - Exposure to deep learning approaches and modeling frameworks (PyTorch, TensorFlow, Keras, etc.) Total Experience: 4+ years Education Qualification: BE/B.Tech/MCA/M.Sc/M.Tech,

As a Data Scientist Engineer, your role involves designing scalable machine learning architectures and implementing data science solutions for complex business problems. You will be responsible for key tasks such as model development, data preprocessing, model training, evaluation & optimization, model deployment, cross-functional collaboration, research & innovation, and documentation. Key Responsibilities: - Design and implement machine learning models to address business challenges effectively. - Clean, preprocess, and analyze large-scale datasets for extracting insights and engineering model features. - Train and fine-tune ML models using deep learning, regression, classification, and ensemble techniques. - Evaluate model performance and improve accuracy, efficiency, and scalability. - Deploy ML models into production environments; monitor and retrain models as needed. - Collaborate with engineers, data scientists, and stakeholders to integrate ML solutions. - Stay current with the latest trends in AI/ML and contribute to knowledge sharing. - Maintain thorough documentation of models, workflows, and processes. Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field - 6-10 years of industry experience in data science, machine learning, or related domains Must-Have Skills: - Experience in Time Series Forecasting, Regression, and Classification models - Proficient in Python, R, and Data Analysis - Strong experience with Pandas, NumPy, Matplotlib for large data handling - Version control tools like Git - ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras - Exposure to Cloud Platforms: AWS / Azure / GCP - Experience with Docker and Kubernetes - Hands-on in Data Collection, Feature Engineering, Model Selection, Evaluation, and Deployment Good to Have: - Exposure to Big Data tools such as Hadoop, Spark - BFSI / Banking domain experience - Familiarity with additional AI/ML libraries and tools beyond the mentioned frameworks In addition to the technical skills required for the role, you should be open to working on a contractual or temporary basis with a contract length of 6 months. You may be based in Noida with the requirement of working from the office twice a week and flexibility for travel as needed.,

You will be joining Credgenics, India's leading SaaS-based debt collection platform, where innovation and agility are highly valued. By leveraging AI, ML, and advanced analytics, Credgenics helps financial institutions improve recovery rates, optimize collection spends, and enhance operational efficiency. In your role as a Data Scientist specializing in Voice AI, you will focus on developing and deploying GenAI-powered Speech-to-Text (STT) and Text-to-Speech (TTS) models to drive voicebot automation within the collections platform. Collaboration with cross-functional teams is essential to implement voice solutions that enhance customer interactions, reduce manual intervention, and scale conversational engagement. **Key Responsibilities:** - Implement and fine-tune STT and TTS models for real-time customer conversations. - Work with engineering teams to integrate speech models into collection workflows and customer engagement platforms. - Develop ML pipelines for speech models to ensure low latency and high accuracy. - Continuously monitor and optimize model performance in terms of accuracy, latency, and naturalness of voice. - Enable automation of customer communication through seamless voicebot deployment. - Collaborate with product managers, engineers, and operations teams to design AI solutions for debt lifecycle management. **Qualifications Required:** - 3-5 years of experience in Voice AI, Voicebot development, or Conversational AI, preferably in a product/startup environment. - Strong experience with speech recognition (STT/ASR) and speech synthesis (TTS) deployment. - Hands-on experience with ML/DL frameworks such as PyTorch, TensorFlow, and Keras. - Proficiency in Python programming and experience in API-based model integration. - Practical experience deploying models in production environments, preferably on cloud platforms like AWS, GCP, or Azure. - Experience in latency optimization, error reduction, and real-time deployment of speech models. - Ability to collaborate effectively across teams to deliver impactful, applied AI solutions.,

Role Overview: As an AI Engineer, your main responsibility will be to design, develop, and deploy AI and ML models for real-world applications. You will optimize algorithms for performance and scalability, integrate AI solutions into existing systems, and work on NLP, Computer Vision, and Predictive Analytics projects. It is essential to stay updated with the latest AI frameworks, tools, and research trends. Key Responsibilities: - Design, develop, and deploy AI and ML models for real-world applications. - Optimize algorithms for performance and scalability. - Integrate AI solutions into existing systems and workflows. - Work on NLP, Computer Vision, and Predictive Analytics projects. - Stay updated with the latest AI frameworks, tools, and research trends. Qualifications Required: - Proficiency in Python, TensorFlow, PyTorch, or Keras. - Strong understanding of machine learning, deep learning, and data science concepts. - Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus. - Excellent problem-solving and analytical skills. Additional Details: The company offers benefits such as flexible schedule, paid sick time, paid time off, Provident Fund, and work from home option. (Note: The above job description is for an AI Engineer position with 4+ years of experience or freshers with exceptional skills.),

AI/ML projects LLMs/SLMs, MCP architecture,RAG pipelines,Vector DBs,Agentic AI workflows and automations Python, R TensorFlow, PyTorch, Keras, Scikit-learn, & cloud-based AI services AWS SageMaker, Azure ML send cv - sairamglobal.hr@gmail.com Required Candidate profile Education 15 years full time regular study Notice period : 0 to 45 days Good Communication skills required Loc: Bangalore, Hyderabad, Chennai Exp Docs should be clear with PF and Bank Statement

Company Description FACE Prep is one of India's largest placement-focused skill development companies for job preparation. Since its inception in 2008, FACE Prep has helped millions of students kickstart their careers in the tech sector. The company offers a variety of programs, including Masterclasses, self-paced last-mile prep, and workshops/bootcamps to equip students with the skills needed to land top-paying jobs in the tech industry. FACE Prep's alumni are employed at leading companies like Google, Microsoft, Meta, Adobe, Paypal, Amazon, TCS, Infosys, and many others. Role Description This is a full-time on-site role for a Data Science & Machine Learning (DS & ML) Faculty (Mentor) located in Bengaluru. The DS & ML Faculty will be responsible for teaching and mentoring students in data science and machine learning courses. Key tasks include preparing and delivering lectures, creating course materials, assessing student progress, providing personalized mentorship, and staying updated with the latest industry trends and technologies. The role involves collaborating with other faculty members to continuously improve the curriculum. Qualifications Experience and proficiency in Data Science, Machine Learning, and Artificial Intelligence Strong skills in programming languages such as Python and R Knowledge of data manipulation, statistical analysis, and machine learning algorithms Experience with tools and frameworks such as TensorFlow, Keras, and Scikit-learn Excellent teaching, communication, and mentoring skills Ability to create and deliver engaging instructional content Experience in the tech industry is a plus Master's or Ph.D. in Data Science, Machine Learning, Computer Science, or a related field

We are seeking a highly qualified and passionate individual to join our faculty as an Artificial Intelligence (AI) instructor. The ideal candidate will have a strong academic background and/or industry experience in AI, machine learning, deep learning, data science, and related domains. The role involves teaching undergraduate and/or postgraduate courses, conducting research, guiding student projects, and contributing to curriculum development. Key Responsibilities: Deliver high-quality lectures and lab sessions in AI and related fields (e.g., Deep Learning, NLP, Data Science). Design and update course materials, curriculum, and assessments aligned with the latest advancements in AI. Guide students in academic projects, internships, and research work. Conduct impactful research and publish in reputed journals and conferences. Collaborate with industry and research institutions for academic-industry partnerships. Mentor and advise students on academic and career development. Participate in departmental and institutional committees, events, and accreditation activities. Proficiency in programming languages such as Python, R, Java, or C++. Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). Familiarity with cloud-based AI platforms (AWS, Azure, Google Cloud) is desirable. Strong communication, presentation, and interpersonal skills. Ability to engage and inspire students. Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Language: English (Preferred) Work Location: In person

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Education and Work Experience Requirements: 4 to 6 years of experience as Data Scientist Proven track record and experience with statistical modeling/data mining algorithms such as Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc Machine learning, deep learning, graph mining. DOE, Forecasting, Segmentation, Uncertainty Analysis etc. Data Mining i.e. Text Mining, Classification Methods – SVM, NN, etc Vector Space model for Unstructured Text Sentiment Analysis, Association Mining, Semantic Analysis Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits Expertise with one of the following scripting languages: Python, R, Tensorflow, Keras, Pytorch OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. Tech savy and willing to work with open-Source Tools Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API Prior experience working on Mobility or Healthcare domain will be a plus Qualifications Educational qualification: B.E/B.Tech/MCA or equivalent qualification Experience : 4 to 6 years of experience as Data Scientist Mandatory/requires Skills : Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Good knowledge of advanced statistical methods. Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights. Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits Preferred Skills :

Job Description We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. Responsibilities You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail responsibilities Develop computer vision models : Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases. Microservice architecture : Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments. Data processing pipelines : Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data. Integrate with existing systems : Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling. Performance optimization : Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints. Monitor and improve : Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency. Security and privacy : Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive Skills & Requirements 5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications. Hands-on experience with microservices deployment on cloud platforms (e., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies. Experience with real-time video analytics, including working with large-scale video data and camera Skills Proficiency in programming languages like Python, C++, or Java. Expertise in deep learning frameworks (e. TensorFlow, PyTorch, Keras) for developing computer vision models. Strong understanding of microservice architecture, REST APIs, and serverless computing. Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes). Familiarity with edge computing and hardware acceleration (e., GPUs, TPUs) for running inference on embedded Qualifications Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.) Understanding of retail operations and common challenges in surveillance. Knowledge of data privacy regulations such as GDPR Strong analytical and problem-solving skills. Ability to work independently and in cross-functional teams. Excellent communication skills to convey technical concepts to non-technical (ref:hirist.tech)

Role Overview: As the Director of Data Insights & Automation at Statistics & Data Corporation (SDC), your primary responsibility will be to direct the development and maintenance of systems, infrastructure, and personnel to enable reliable, cost-effective automation and machine learning solutions within SDC and for external partners and clients. You will oversee the cleaning, processing, storing, and analyzing of clinical data for the development of Artificial Intelligence (AI) and Machine Learning (ML) algorithms to support better understanding of new therapies" safety and efficacy. Additionally, you will lead software development activities to drive automation across SDC departments, reducing errors and increasing efficiency. Key Responsibilities: - Oversee day-to-day activities involving data science, data engineering, automation, and business intelligence - Develop standard metrics demonstrating model performance, robustness, and validity - Engage with various internal departments to strategically identify areas to apply AI and/or ML for increased process efficiency - Ensure practical deployment of algorithms with minimal resource usage and maximum ease of use - Prototype new ideas/technologies and develop proof of concept and demos - Develop standard operating procedures for the use of artificial intelligence within clinical trials - Communicate roadmap of activities and updates quarterly to executive management - Ensure timelines and delivery are met, raising issues early for any risks - Perform other related duties incidental to the work described herein Qualifications Required: - Experience with AI frameworks such as Tensorflow, MXNet, Theano, Keras, Pytorch, Caffe - Proficiency in Python and software development process with evidence of delivering production-level code - Familiarity with AI algorithms for natural language processing, classification, clustering, dimensionality reduction, anomaly detection - Experience in applying AI to biomedical data analysis preferred - Ability to develop and deliver presentations, and communicate effectively in writing and verbally - Capability to identify issues, present problems, and implement solutions - Good leadership, organizational, and time management skills with the ability to multi-task - Strong interpersonal communication and presentation skills Additional Company Details: Statistics & Data Corporation (SDC) is a specialized Contract Research Organization (CRO) providing top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC offers technology-enabled service offerings to provide clients with clinical services expertise and the necessary technology for successful clinical trials. The company is committed to developing employees, providing growth opportunities, career advancement, flexible work schedules, engaging work culture, and employee benefits. SDC's recognition program is tied to core values, fostering a place of belonging through fun and engaging activities. With a global presence and diverse perspectives, SDC continues to grow and innovate to support client and employee needs successfully.,

As a Vice President - Data Scientist at Citi, you will be part of the Citi Analytics & Information Management (AIM) team, a global community that connects and analyzes information to create actionable intelligence for business leaders. Your role will involve focusing on the development and deployment of advanced Machine Learning and Deep Learning models within the financial services industry. **Responsibilities:** - Work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using tools like SQL and Access to predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis - Assess risk when making business decisions to safeguard Citigroup and its assets **Qualifications:** - 15+ years of experience in Analytics/Data Scientist in the financial services industry - Experience with natural language processing (NLP) and natural language generation (NLG) - Working experience in a quantitative field, specifically in the Financial/Credit Card industry - Proven track record of designing, developing, and deploying complex machine learning and deep learning models - Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras - Solid understanding of machine learning algorithms, data structures, and software engineering principles - Excellent communication and interpersonal skills **Education:** - Masters/Bachelors/PhD degree in Statistics, Economics, Finance, Mathematics, or a related quantitative field; Engineering/MBA background from a premier institute At Citi, you will have access to programs and services for your physical and mental well-being, opportunities for learning and development, and a variety of programs to help you balance work and life. Working at Citi means joining a global family of dedicated individuals and having the chance to grow your career, give back to your community, and make a real impact. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, you can review Accessibility at Citi. Take the next step in your career and apply for this role at Citi today.,

As a Senior Gen AI Engineer, your role involves collecting and preparing data for training and evaluating multimodal foundation models. This includes cleaning and processing text data or creating synthetic data. You will be developing and optimizing large-scale language models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Tasks will also include working on language modeling, text generation, understanding, and contextual comprehension. It is essential to regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Additionally, you will be responsible for building and deploying AI applications on cloud platforms such as Azure, GCP, or AWS. Integration of AI models with the company's data to enhance and augment existing applications is also part of your responsibilities. Key Responsibilities: - Handle data preprocessing, augmentation, and generation of synthetic data. - Design and develop backend services using Python to support OpenAI-powered solutions (or any other LLM solution). - Develop and maintain AI pipelines. - Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. - Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions. - Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. - Ensure the robustness, efficiency, and scalability of AI systems. - Stay updated with the latest advancements in AI and machine learning technologies. Qualifications Required: - Strong foundation in machine learning, deep learning, and computer science. - Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). - Experience with natural language processing (NLP) and computer vision is a plus. - Ability to work independently and as part of a team. - Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. - Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. - Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. - Experience in developing and deploying AI models in production environments. - Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying, managing, and scaling AI solutions. - Should be able to bring new ideas and innovative solutions to clients.,

Why this job matters We are searching for a proficient AI/ML engineer who can help us to extract value from our data. The resource will be responsible for E2E processes including data collection, cleaning & pre-processing, training of the models and deployment in all production and non-production environments. What youll be doing Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining validation strategies Defining the pre-processing or feature engineering to be done on given data. Defining data augmentation pipelines. Training models and tuning their hyperparameters. analysing the errors of the model and designing strategies to overcome them. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Strong knowledge on model deployment pipeline MLOPS and knowledge of AWS/GCP deployment. Skills Required Proven experience (4 or more years) as a Machine Learning Engineer/ Artificial Intelligence Engineer or similar role. Solving business problems using Machine Learning algorithms, Deep Learning/Neural Network algorithms, Sequential model development, and Time series data modelling. Experience with Computer Vision techniques, Convolutional Neural Networks (CNN), Generative AI, and Large Language Models (LLMs) Experience with deploying models using MLOps pipelines. Proficiency in handling both structured and unstructured data, including SQL, BigQuery, and DataProc. Hands-on experience with API development using frameworks like Flask, Django, and FastAPI. Automating business and functional operations using AIOps. Experience with cloud platforms such as GCP and AWS, and tools like Qlik (Added advantage) Understanding of data structures, data modelling and software architecture. Expertise in visualizing and manipulating big datasets. Deep knowledge of math, probability, statistics and algorithms. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Knowledge in R or Java is a plus. Proficiency in TensorFlow or Keras and OpenCV is a plus. Excellent communication skills. Team player. Outstanding analytical and problem-solving skill. Familiarity with Linux environment. Low to medium familiarity with JIRA, GIT, Nexus, Jenkins etc is a plus. Minimum educational qualification: BE/B.Tech or similar degree in relevant field. The skills youll need Troubleshooting Agile Development Database Design/Development Debugging Programming/Scripting Microservices/Service Oriented Architecture Version Control IT Security Cloud Computing Continuous Integration/Continuous Deployment Automation & Orchestration Software Testing Application Development Algorithm Design Software Development Lifecycle Decision Making Growth Mindset Inclusive Leadership

Job Description Summary Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Job Description Key Responsibilities AI/ML Development & Research Design, develop, and deploy advanced machine learning and deep learning models for complex business problems Implement and optimize Large Language Models (LLMs) and Generative AI solutions Build agentic AI systems with autonomous decision-making capabilities Conduct research on emerging AI technologies and their practical applications Perform model evaluation, validation, and continuous improvement Cloud Infrastructure & Full-Stack Development Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP Develop full-stack applications integrating AI models with modern web technologies Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) Implement CI/CD pipelines for ML model deployment and monitoring Design and optimize cloud infrastructure for high-performance computing workloads Data Engineering & Database Management Design and implement data pipelines for large-scale data processing Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) Optimize database performance for ML workloads and real-time applications Implement data governance and quality assurance frameworks Handle streaming data processing and real-time analytics Leadership & Collaboration Mentor junior data scientists and guide technical decision-making Collaborate with cross-functional teams including product, engineering, and business stakeholders Present findings and recommendations to technical and non-technical audiences Lead proof-of-concept projects and innovation initiatives Required Qualifications Education & Experience Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field 5+ years of hands-on experience in data science and machine learning 3+ years of experience with deep learning frameworks and neural networks 2+ years of experience with cloud platforms and full-stack development Technical Skills - Core AI/ML Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents Technical Skills - Development & Infrastructure Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks Big Data: Spark, Hadoop, Kafka, streaming data processing Preferred Qualifications Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) Knowledge of LangChain, LlamaIndex, or similar LLM frameworks Experience with model compression and edge deployment Familiarity with distributed computing and parallel processing Experience with computer vision and NLP applications Knowledge of federated learning and privacy-preserving ML Experience with quantum machine learning Expertise in MLOps and production ML system design Key Competencies Technical Excellence Strong mathematical foundation in statistics, linear algebra, and optimization Ability to implement algorithms from research papers Experience with model interpretability and explainable AI Knowledge of ethical AI and bias detection/mitigation Problem-Solving & Innovation Strong analytical and critical thinking skills Ability to translate business requirements into technical solutions Creative approach to solving complex, ambiguous problems Experience with rapid prototyping and experimentation Communication & Leadership Excellent written and verbal communication skills Ability to explain complex technical concepts to diverse audiences Strong project management and organizational skills Experience mentoring and leading technical teams How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL . Location - Chennai,Gurugram,Hyderabad,Indore,Mumbai