7757 Machine Learning Jobs - Page 30

Job Summary At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open-source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, virtualization, and AI technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly growing company supporting more than 90% of Fortune 500 companies. The AI Core Components organization, part of AI Engineering, is looking for individuals with a passion for Open Source, automation and helping grow the impact of Red Hats AI offerings for our customers and the community. As a Staff Engineer youd be a person with deep expertise in Machine Learning systems and tools, relentless curiosity, and a bias for action. This role is ideal for someone who thrives at the intersection of AI innovation and engineering excellence and is passionate about boosting engineering productivity through the intelligent use of the latest AI advancements. What you will do Prototype with PurposeRapidly build PoCs using the latest AI models and frameworks to enhance developer workflows across the PyTorch engineering lifecycle (code, test, document, debug, optimize). Bridge Industry & ImplementationEvaluate innovations from open source, academia, and industry and assess how they can improve the way PyTorch is built and maintained. Drive Developer ProductivityCreate intelligent tools that support faster iteration, better testing, and smoother onboarding for PyTorch engineersturning AI into leverage. Embed in the TeamWork alongside core PyTorch engineers to understand friction points and infuse AI-powered solutions into existing workflows and CI pipelines. Lead by InfluenceSet technical direction in the space of AI-enhanced engineering productivity. Act as a multiplier for the teammentoring, demoing, writing internal blogs, and making innovation accessible. Contribute to the PyTorch EcosystemYour work will extend to open-source tooling or enhancements that benefit the broader PyTorch community. What you will bring 8+ years of experience in machine learning, software engineering, or systems design, with significant exposure to AI/ML infrastructure. Deep understanding of LLMs, AI agents, vector search, prompt engineering, and developer productivity tools. Strong Python programming skills and experience with PyTorch, Hugging Face Transformers, LangChain, vLLM, or OpenAI/Anthropic APIs. Demonstrated ability to build fast, impactful prototypes that lead to production-ready tools. Experience improving engineering workflows through AI toolscode generation, automated test generation, bug triage, documentation assistants, etc. Familiarity with modern software engineering practicesCI/CD, DevOps, VS Code extensions, or internal tooling development. Collaborative mindset and excellent communication skillscomfortable working with developers, QE, product managers, and leadership. Nice to have Contributions to PyTorch or other open-source ML/AI frameworks. Experience building developer tools or productivity platforms within ML orgs. Familiarity with AI use cases in systems optimization, model compilation, or hardware acceleration. Exposure to long-context transformer models and techniques like EasyContext, NoLiMa, or KV-cache paging. About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

About the Job: The Data Development, Insights & Strategy team is a highly focused effort to use the combination of our product fleet data, our business and sales data to provide strategic insight and act on the moments that matter in near real time to both drive meaningful customer interactions, product evolution, modernize/drive our business systems and identifying opportunities to maximize our understanding and execution of product & business models which in turn maximize our ability to successfully capture our market opportunity. We are seeking a technically minded, detail oriented and creative Senior Data Scientist focused on natural language processing, machine learning & data analytics to join our team. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hats data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of DDIS, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What will you do Collaborate with a small, agile team to research and implement effective NLP algorithms and tools. Contribute to the design, development, and delivery of NLP applications from concept to production. Analyze data science prototypes and ensure they meet business requirements. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What will you bring 5+ years of professional experience in NLP using Python, with knowledge of Spacy and Hugging Face. Strong understanding of NLP techniques and experience in Generative AI application development. Familiarity with machine learning frameworks, including TensorFlow, Keras, and PyTorch. Experience in developing scalable backend microservices in AWS. Ability to translate complex data findings into actionable business insights. Comfortable working with a small team in a fast-paced, highly collaborative environment Experience with GenAI application development - LLMs, Embedding models, Vector Databases Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. Bachelors degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry Experience developing highly scalable backend microservices in AWS Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

Careers at New Horizon are always inspiring. You will be in the company of aspiring young teams of faculty members and staff. The Management is always supportive in all endeavors. The infrastructure facilities for teaching and research are conducive to excel. New Horizon has well devised HR policies which will ensure recognition and rewards for high performers. New Horizon extends excellent support of research and development initiatives at individual and department levels. At New Horizon, we provide you with every possible opportunity to inspire you to make you go beyond what you think might be possible. Fueled by aspirations, we’re always growing, and finding innovative ways to do it. At New Horizon, growth is vertical, lateral, incremental and exponential. We’re serious about your growth. Come and join the New Horizon family. Candidates interested to pursue their career at New Horizon can send their Curriculum Vitae. Professor/Associate Professor/Assistant Professor Departments-Computer Science & Engineering, Artificial Intelligence & Machine Learning, CSE-Data Science, Information Science & Engineering, Electronics and Communication Engineering, Master of Business Administration, Master of Computer Application, Qualification: Bachelor’s Degree, master’s degree, Ph.D. Experience: Assistant Professor – Bachelor’s Degree, master’s degree with 0-3 years of Experience. Associate Professor – Bachelor’s Degree, master’s degree, Ph.D. with minimum 5-8 Years of Experience of which 2 years post Ph.D. experience. Professor – Bachelor’s Degree, master’s degree, Ph.D. with minimum 10 Years of Experience of which at least 5 years at the level of Associate Professor. Interested candidates may send their resume to [email protected] / [email protected] Or contact us on +91 9902266992/9663525962

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Job Title: Data Science Trainer Location: [Remote/On-site/Hybrid] Job Type: [Full-time / Part-time / Contract / Freelance] Experience Level: [Mid-level / Senior] Reporting To: Head of Training / Program Manager Job Summary: We are seeking a skilled and passionate Data Science Trainer to deliver high-quality instruction in data science, machine learning, and AI. The ideal candidate will have strong theoretical knowledge and hands-on experience in real-world data projects. You will be responsible for designing curriculum, delivering training sessions, and mentoring learners across varying skill levels. Key Responsibilities: Deliver engaging and interactive training sessions in: Python for Data Science Statistics & Probability Machine Learning & Deep Learning Data Visualization (e.g., Tableau, Power BI, Matplotlib, Seaborn) Data Manipulation (Pandas, NumPy) Tools & Platforms (Jupyter, Google Colab, Git, AWS/GCP basics) Design and update training materials, assignments, case studies, and assessments. Provide one-on-one mentoring and guidance to learners. Evaluate learner progress and provide constructive feedback. Keep curriculum updated with the latest industry trends and technologies. Conduct code reviews and support learners with debugging. Participate in webinars, workshops, and online/offline community building. Requirements: Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, or related field. 5+ years of experience in data science or related domains. Prior experience in teaching or mentoring is a strong advantage. Strong command of Python, machine learning algorithms, and data processing libraries. Excellent communication and presentation skills. Ability to explain complex concepts in a clear and engaging way. Job Type: Full-time Pay: ₹10,915.53 - ₹59,065.16 per month Schedule: Morning shift Work Location: In person

About the role As an AI Solutions Architect, you will consult with global AI customers in North America to understand their data requirements, showcase solutions through demos and proofs of concept, and design end-to-end ML and automation strategies. Collaborating with internal stakeholders, you’ll craft techno-commercial proposals, define contract SLAs alongside the sales team, and provide product feedback based on customer needs. This role requires at least four years of IT/product service delivery experience, hands-on expertise in handling data (PostgreSQL and MS Excel), and strong analytical and problem-solving skills. Location: Bangalore, India Responsibilities Must be willing and able to work flexible hours to accommodate overlap with US business hours Collaborate with global AI customers on their data solutions. Partner with potential and current clients to grasp their data needs and present demonstrations. Showcase expertise by developing solutions and proof-of-concepts. Design and deploy machine learning and automation solutions. Team up with internal stakeholders to create techno-commercial proposals. Collaborate with customers and sales leads to establish contract SLAs. Offer support and relay customer feedback to the product development team.

Job Overview: We are seeking an experienced and knowledgeable Data Science Trainer to join our team. The ideal candidate will have a strong background in data science concepts, practical implementation skills, and the ability to deliver engaging training sessions to learners of all levels. Key Responsibilities: Design and deliver comprehensive data science training programs for students and professionals. Develop course materials, including presentations, assignments, and projects. Conduct hands-on coding sessions using tools like Python, R, and relevant libraries. Guide learners through real-world data science projects and case studies. Evaluate student progress, provide constructive feedback, and support their learning journey. Stay updated with the latest industry trends, tools, and technologies in data science. Collaborate with the content development team to improve course content and learning materials. Skills & Requirements: Proficiency in Python , ML , SQL and data visualization tools such as Power BI , Tableau , etc. Strong understanding of machine learning algorithms, data analysis techniques, and data preprocessing. Hands-on experience with data science libraries like NumPy , Pandas , Scikit-learn , TensorFlow , etc. Excellent presentation, communication, and mentoring skills. Prior experience in teaching or training is highly preferred. Certification in data science or related fields will be an added advantage. Job Type: Full-time Pay: ₹15,652.43 - ₹50,473.71 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Work Location: In person

Roles and Responsibility Design, develop, and maintain high-quality front-end applications using HTML, CSS, JavaScript, and related technologies. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and implement responsive and interactive user interfaces using modern front-end frameworks and libraries. Troubleshoot and debug complex front-end issues using various debugging tools and techniques. Participate in code reviews and contribute to improving overall code quality. Stay up-to-date with industry trends and emerging technologies in front-end development. Job Requirements Strong proficiency in HTML, CSS, JavaScript, and related front-end development technologies. Experience with modern front-end frameworks such as React or Angular. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively with colleagues and stakeholders. Strong understanding of software development principles, patterns, and best practices. Familiarity with version control systems such as Git.

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Job Title: Senior MLOps Engineer Location : Pan India (WFO) Experience Range: 8-12 years Primary Key skills: MLOps Key Responsibilities: Design, develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, maintenance, and scalability. Automate the retraining, testing, and validation processes for ML models. Collaborate with cross-functional teams, including data science, software engineering and DevOps, to integrate ML models into production systems. Monitor model performance, diagnose issues, and implement improvements. Ensure scalability, reliability, and compliance of ML systems in production. Optimize infrastructure costs while maintaining high system performance. Stay up-to-date with the latest developments in MLOps, machine learning and AI, and apply new techniques to improve existing models and processes. Qualifications: Education: Bachelors or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. Experience: Solid experience as a MLOps Engineer, Machine Learning Engineer, DevOps Engineer, or similar role. Experience in the retail industry or e-commerce is highly desirable. Technical Skills: Strong experience with Infrastructure as Code frameworks and languages (Terraform, Bicep or ARM) Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, etc.). Hands-on experience with containerization (Docker) and orchestration tools (Kubernetes). Proficiency in CI/CD tools and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of model monitoring and evaluation metrics. Familiarity with version control systems, such as Git, and model versioning tools like MLflow or DVC. Experience with Generative AI product deployment is desirable. Experience with big data using Databricks, Snowflake, Apache Spark or Hadoop is desirable. – some of these System level architecture understanding including scaling, MLOps, model/data monitoring, andensuring a deterministic pipeline. Soft Skills: Strong problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. A proactive attitude and a passion for continuous learning and innovation. Role & responsibilities Preferred candidate profile

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Qualification BE (CSE/IT)/ B.TECH(CSE/IT)/ MCA/ ME(CSE/IT)/ M.SC/ M.TECH(CSE/IT) Location Surat Salary range Paid Internship Experience/Seniority level Fresher/Internship Job Time Full Time Requirements / Your Skills Annotate, build, train, evaluate, and fine-tune machine learning and deep learning models for various use cases. Implement data pipelines for preprocessing, augmentation, and transformation of structured and unstructured datasets. Perform exploratory data analysis (EDA), feature engineering, and data visualization. Work on computer vision and image/video processing tasks using industry-standard frameworks. Utilize GPU acceleration (CUDA, cuDNN, TensorRT) for training and optimizing deep learning models. Deploy models on-premise and in cloud environments using containerization (Docker) and orchestration (Kubernetes). Collaborate in an agile development team, contributing to architecture, experimentation, and testing workflows.

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter.

Job Mode Onsite/Work from Office | Monday to Friday | Shift 1 (Morning). Overview : We are seeking an experienced Team Lead to oversee our data engineering and analytics team consisting of data engineers, ML engineers, reporting engineers, and data/business analysts. The ideal candidate will drive end-to-end data solutions from data lake and data warehouse implementations to advanced analytics and AI/ML projects, ensuring timely delivery and quality standards. Key Responsibilities : - Lead and mentor a cross-functional team of data professionals including data engineers, ML engineers, reporting engineers, and data/business analysts. - Manage the complete lifecycle of data projects from requirements gathering to implementation and maintenance. - Develop detailed project estimates and allocate work effectively among team members based on skills and capacity. - Implement and maintain data architectures including data lakes, data warehouses, and lakehouse solutions. - Review team deliverables for quality, adherence to best practices, and performance optimization. - Hold team members accountable for timelines and quality standards through regular check-ins and performance tracking. - Translate business requirements into technical specifications and actionable tasks. - Collaborate with clients and internal stakeholders to understand business needs and define solution approaches. - Ensure proper documentation of processes, architectures, and code. Technical Requirements : - Strong understanding of data engineering fundamentals including ETL/ELT processes, data modeling, and pipeline development. - Proficiency in SQL and data warehousing concepts including dimensional modeling and optimization techniques. - Experience with big data technologies and distributed computing frameworks. - Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure) and their respective data services. - Knowledge of on-premises data infrastructure setup and maintenance. - Understanding of data governance, security, and compliance requirements. - Familiarity with AI/ML workflows and deployment patterns. - Experience with BI and reporting tools for data visualization and insights delivery. Management Skills : - Proven experience leading technical teams of 4+ members. - Strong project estimation and resource allocation capabilities. - Excellent code and design review skills. - Ability to manage competing priorities and deliver projects on schedule. - Effective communication skills to bridge technical concepts with business objectives. - Problem-solving mindset with the ability to remove blockers for the team. Qualifications : - Bachelor's degree in Computer Science, Information Technology, or related field; - 5+ years of experience in data engineering or related roles. - 2+ years of team leadership or management experience. - Demonstrated success in delivering complex data projects. - Certification in relevant cloud platforms or data technologies is a plus. What We Offer : - Opportunity to lead cutting-edge data projects for diverse clients. - Professional development and technical growth path. - A collaborative work environment that values innovation. - Competitive salary and benefits package.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Role: Python Architect Experience: 10+ Years Location: Chennai Notice Period: 30-60 days Job Description: Job Responsibilities: At least 8+ years of SW development experience in Java or Python , ReactJS, Docker and Kubernetes preferably in the telecom domain Able to articulate customer requirements into high-level/low-level specification documents. Able to guide and mentor the team of 6-8 people from the technical side and strictly adhere to the process guidelines during the implementation phase of the project. Develop and design python programs, flask based micro services based on customer requirements. Strong knowledge and good experience required on Advanced Python programming is must. Experience in the development of high-performance requirement python projects is a must Good to have knowledge in ELK/Grafana Good knowledge in Kubernetes, Dockers, and Cloud native principles. Able to communicate directly with customers and can participate in direct technical discussions with the customer Bachelor or Master's degree in CSE/ECE/EEE/EI/IT Experience in working on Agile projects is value addition Knowledge and experience with the professional services project lifecycle (scoping, requirements, construction, QA/test) Design, implementation, test, integration and debugging of Python based micro services & applications Convert requirements to high-quality code while working closely with a team of other highly skilled professionals to deliver top-quality software to the Eden NET customer base. Proven commercial Python development experience (more than just scripting), Excellent understanding of Object-Oriented Methodology and design, implementation, and debugging skills. Understanding /Hands on Experience on Machine learning and important Algorithms Proven experience working with relational database systems such as MySQL Experience writing automated unit and integration testing using Python Experience using and creating RESTful APIs Good experience in continuous refactoring First level of effort estimation for feature, Interface with system architects to understand the impact of the system level features on the modules. Reviews specifications, architecture and design, code, test strategy, and test cases for the feature. Work towards continuously improving the quality of the code and automation of the test cases. Acts as a mentor for team members, Good communication and teamwork skills Ability to take initiative and lead complex activities along with a team Experience in working in a multi-cultural environment Highly motivated and constantly seeks avenues for continuous improvement Job Type: Permanent Pay: ₹3,500,000.00 - ₹5,000,000.00 per year Benefits: Paid sick time Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm XR Systems organization is responsible for system architecture and system software design for Qualcomm’s XR chipset platforms. We are scaling up our operations and we are looking for engineers experienced in systems architecture who will work on driving the next generation XR technologies and architectures, enabling the future of Augmented Reality / Virtual Reality / Mixed Reality applications. Responsibilities include working with lead XR OEMs and QC’s customer-facing teams to understand end to end use cases, mapping them on to existing architectures, defining and optimizing data flows, working with SoC design, dv, firmware, and validation teams and ensuring use case power and performance KPIs are met. The team is also responsible for providing guidance towards future XR SoC roadmap definitions. XR technology encompasses a broad range of features covering XR perception, local and remote rendering, camera, video, computer vision, communications and split compute topologies such as phone + glass and PC + HMD + cloud etc. The successful candidate will be responsible for (one or more of the following): Identifying, understanding and documenting use cases and implementations of AR/VR and related technologies Leading technology, hardware and software experts to translate use case requirements into implementation specifications Driving technical workstreams for perception, reprojection and split-processing, including quality validation, latency/quality trade-offs etc. Driving technical workstreams for sensor/display advancements, interface optimizations, reference design scoping for XR feature prototyping System level use case modeling to validate and optimize architecture definition Defining requirements for custom hardware accelerators and general purpose compute cores for XR features/flows & workloads Defining and executing HW-SW feature analysis to optimize for power and performance For this multi-disciplinary role an ideal candidate has proven expertise in AR/VR, computer vision, machine learning, perception, camera technology, hardware design, SoC architecture, HW/SW partitioning, and/or system modeling (power, performance, thermal). Minimum Qualifications Bachelor’s degree in Electrical Engineering, Information Systems, Computer Science, or related field, and project experience in architecture/micro-architecture 2 to 10 years of system engineering or related work experience Excellent problem solving and communication skills Preferred Qualifications Master’s and/or PhD degree in Electrical Engineering, Information Systems, Computer Science Experience with Mixed & Augmented reality system design, constraints, and trade-offs Extensive knowledge of graphics pipeline, reprojection and advanced rendering techniques, computer vision pipelines, machine learning methods and/or camera pipelines Proven experience in conducting architectural trade-offs, power/performance analysis and/or SW-HW trade-offs Experience with system level modeling (performance and/or power) 2 - 6 years experience in one or more of above areas C/C++ programming Educational Requirements Required: Bachelor’s, Computer Engineering and/or Electrical Engineering or equivalent experience Preferred: Master’s / Doctorate, Computer Engineering and/or Computer Science and/or Electrical Engineering Keywords Camera, GPU, CPU, SOC, System engineering, Hardware designing, Computer vision, Artificial Intelligence, ML, DSP, AR, VR, MR, XR Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title: Business Analytics - Operations Trainee Location: Xerago, OMR – Perungudi, Chennai Experience: Fresher Education: Graduate in Business Analytics OR related field (with AI certifications) Job Description: Xerago is looking for a smart, driven fresher to join as an AI-Powered - Business Analytics Operations Trainee . This role offers a unique opportunity to work directly from the Founder’s Office , closely collaborating with and reporting to the CEO on strategic initiatives involving AI and business operations. Key Responsibilities: Assist in implementing AI-driven solutions for internal operations and client-facing processes Support the CEO in research, analysis, and execution of strategic business projects Work with teams across the organization to collect data and monitor performance metrics Contribute to automation initiatives and process optimization using AI tools Prepare reports, dashboards, and insights to aid decision-making Key Requirements: Graduate in Business Analytics or a related field Certified in Artificial Intelligence / Machine Learning Strong analytical and problem-solving skills Excellent communication and interpersonal abilities Eagerness to learn, take initiative, and work in a fast-paced environment Note: This is a high-visibility entry-level position ideal for candidates aspiring to learn directly from leadership and build a career at the intersection of AI and business operations. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹400,000.00 per year Benefits: Food provided Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Work Location: In person

Seeking a qualified and passionate IT Faculty member to teach UG/PG courses in areas like Cloud Technology, Information Security, Data Science, Full Stack Development, Artificial Intelligence, Machine Learning, Cyber Security, Mobile Application, Web Technology, Internet of Things, Process Automation. Responsibilities include teaching, mentoring, curriculum development, research, and industry engagement. Required Qualification: BE/BTech, ME/MTech Ph.D. preferrable. Job Type: Full-time Pay: ₹40,000.00 - ₹65,000.00 per month Schedule: Day shift Work Location: In person

JOB DESCRIPTION Join us for an exciting opportunity to advance your career as a Quant Analyst Associate, driving impactful business insights. As a Quant Analytics Associate within the Data and Analytics team, you will collaborate with cross-functional teams to deliver timely insights that enhance customer engagement and business performance. You will nurture a culture of continuous experimentation and innovation. Job Responsibilities Synthesize large data from various sources to derive actionable insights for business functions. Solve business problems through fact-based and scientific analytics. Define metrics, evaluate results, and draw business insights. Evaluate and implement new tools for data collection, analysis, and reporting. Present key findings and recommendations to senior stakeholders to enable decision-making. Required Qualifications, Capabilities, and Skills Bachelor's degree in statistics, business analytics, finance, economics, mathematics, or engineering. 4+ years of analytics experience in a financial services firm or consulting firm supporting financial firms. Proficiency in data querying (Snowflake SQL/Python), Alteryx, and Tableau. Ability to navigate loosely defined business problems independently. Deliver persuasive presentations using data-driven storytelling techniques. Preferred Qualifications, Capabilities, and Skills Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Effective communication with senior leaders to enable collaboration and decision-making. Flexibility, adaptability, and ability to manage and deliver in a fast-paced environment. 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 Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

JOB DESCRIPTION We have an exciting opportunity for you to advance your career as a Quant Analyst (Associate) by delivering insights that enhance customer engagement and business performance. As a Quant Analyst Associate within the Data and Analytics team, you will collaborate with cross-functional teams to define objectives and nurture a culture of continuous experimentation. Your work will directly impact business performance and customer engagement. Job Responsibilities: Synthesize large data from various sources to identify and derive actionable insights for business functions. Solve business problems through fact-based and scientific analytics. Apply critical and analytical thinking with strong attention to detail. Define metrics, evaluate results, and draw conclusions and business insights. Evaluate and implement new tools to improve data collection, analysis, and reporting. Summarize key findings and present recommendations to senior stakeholders to enable collaboration, decision-making, and transparency. Required Qualifications, Capabilities, and Skills: Bachelor's degree in statistics, business analytics, finance, economics, mathematics, or engineering. 4+ years of analytics experience in a financial services firm or consulting firm supporting financial firms. Proficiency in data querying (Snowflake SQL/Python), Alteryx, and Tableau. Ability to navigate loosely defined business problems independently. Deliver persuasive presentations using data-driven storytelling techniques to inform decision-makers. Preferred Qualifications, Capabilities, and Skills: Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Effective communication with senior leaders to enable collaboration, decision-making, and transparency. Flexibility and adaptability, with the ability to listen and defend or change direction based on team and stakeholder consensus. Self-motivated, goal-oriented, and able to manage and deliver in an innovation-driven and fast-paced environment. 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 Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

JOB DESCRIPTION As an employee in the Loss Forecast and Portfolio Analytics team, you'll work to provide oversight and drive production of the credit loss forecast and CECL forecast for all JPMorgan Chase & Co. credit cards. In this highly visible role, you'll: Actively help determine the loss forecasting results and drivers. This information will be presented to executive management and other internal clients Understand the impact of model updates and drive creation of overlays Identify and size the impact of emerging risks in Card portfolio Identify key trends happening in the card portfolio and its impact on the losses and profitability and baseline and stress scenarios Participate in cross-functional communications with Risk Management, Finance, Marketing and Collections to inform the forecast on current learnings and incorporate strategic initiatives Lead advanced analyses to assess relationships and patterns driving loss performance Produce the loss forecast and maintenance of associated loss models Help spearhead best in class documentation and operational risk and audit controls surrounding the loss forecasting and LLR Qualifications: A Bachelor's degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training is required. Advanced degree preferred 8+ years of Credit Risk Management, Statistical Modeling, Marketing Analytics and/or Consulting experience Essential skills: Strong knowledge of Python, SAS or SQL required Strong analytical, interpretive, and problem solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas Excellent oral and written communication and presentation skills Preferred skills: Prior exposure to credit forecasting or underwriting of unsecured lending products like credit card, personal loans or BNPL Some exposure to automation and dashboard creation Strong P&L knowledge and understanding of drivers of profitability 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 Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

JOB DESCRIPTION Join us for an exciting opportunity to advance your career as a Quant Analyst Associate, driving impactful business insights. As a Quant Analyst Associate within the Data and Analytics team, you will collaborate with cross-functional teams to deliver timely insights that enhance customer engagement and business performance. You will nurture a culture of continuous experimentation and innovation. Job Responsibilities Synthesize large data from various sources to derive actionable insights for business functions. Solve business problems through fact-based and scientific analytics. Define metrics, evaluate results, and draw business insights. Evaluate and implement new tools for data collection, analysis, and reporting. Present key findings and recommendations to senior stakeholders to enable decision-making. Required Qualifications, Capabilities, and Skills Bachelor's degree in statistics, business analytics, finance, economics, mathematics, or engineering. 4+ years of analytics experience in a financial services firm or consulting firm supporting financial firms. Proficiency in data querying (Snowflake SQL/Python), Alteryx, and Tableau. Ability to navigate loosely defined business problems independently. Deliver persuasive presentations using data-driven storytelling techniques. Preferred Qualifications, Capabilities, and Skills Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Effective communication with senior leaders to enable collaboration and decision-making. Flexibility, adaptability, and ability to manage and deliver in a fast-paced environment. 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 Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Job Description: Job Timings: Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Location : Valsad, Gujrat Responsibilities: Design, develop, and maintain .NET applications. Able create plug and play library for .net applications. Hands on knowledge in SQL Database Implement AI solutions. Develop APIs and services to support AI functionalities. Know well about setup load balancing between database and application. Third Party integration ( scrapping data from other website) Advantage having knowledge of UI technology (Angular) Ensure the performance, quality, and responsiveness of applications. Troubleshoot and resolve software defects and issues. Stay updated with the latest industry trends and technologies in AI and .NET development. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a .NET Developer. Experience with AI tools like AWS generative AI, . Proficiency in C# and .NET framework. Familiarity with cloud platforms (e.g., Azure, AWS) and their AI services. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Master's degree in Computer Science or related field. Experience with DevOps practices and CI/CD pipelines.