7757 Machine Learning Jobs - Page 26

Req ID: 312510 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain. #GenAINTT

Req ID: 303765 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI Data Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). "Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain."

AI Architect will play a pivotal role in designing and implementing the technology architecture for AI use cases (including Large Language Model (LLM)) platform systems and solutions. As an AI architect, you will translate business roadmap into technical requirements and architecture. This role will apply natural language processing (NLP) and machine learning concepts and experiences implementing real time business use cases. You will architect large language models (LLMs) and design neural network parameters, leveraging corpus of unlabeled structured and unstructured data, to further enhance the models capabilities. Responsibilities: Architect and design end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery. Leverage, customize and implement available Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems. Analyze and evaluate the performance of Gen AI systems and provide design recommendations. Hands on implementation and troubleshooting supports of Gen AI solutions. Estimate the effort, time and cost required for deploying an end-to-end solution using LLMs. Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns. Analyze and make right technological choices for generative ai solutions. Design and prototype reusable components for LLM based solution patterns. Architect components of an LLM solution to address Responsible AI & Security. Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholders. Create and maintain comprehensive technical documentation that captures the intricate details of the technical architecture, language model, efficient troubleshooting, and future development and maintenance.

Data Integration Engineer : We are looking for a motivated and an experienced data engineer to join a growing data science team.. As a senior data engineer, you will be required to work closely with customers, data scientists and solution architects to build robust production ready data infrastructure and data pipelines to help scale the machine learning and analytics solutions. In this role, you will drive the development of data engineering solutions from initial experimentation to production level deployment. You will also work with data science leadership to develop internal tools for rapid data ingestion and integration of customer data into selected cloud platforms and other SaaS solutions. Responsibilities: Collaborate and work in a global data science team to develop scalable and robust data integration infrastructure. Engage directly with customers and partners to design and develop data requirements based on functional requirements. Build custom data integration pipelines from existing source systems into cloud platforms such as AWS, Microsoft Azure etc. Enable data ingestion, pre-processing, custom data wrangling from filesystems, databases, queues and streams to enable rapid prototyping. Work with customers to develop custom data handlers and connectors as needed. Perform a variety of data loads & data transformations. Improve database and application performance with fine tuning. Work with other project teams for data integrations and data lake requirements. Automate processes for better stability and performance of application. Qualifications/Requirements BS or MS degree in Computer Science, Engineering, IT. Minimum 5+ years of professional experience in data engineering, databases and and/or business analytics. Experience reading and parsing industrial P&ID and PFD documents. Solid background and experience in SQL, Python and/or Java/Scala Minimum 3 years experience in ETL and data pipeline design for heterogenous data such as time series, streams, queues and text. Familiarity with containers and container services like Docker, Docker registry and Kubernetes. Knowledge of test-driven development, agile software development methodologies and tools . Excellent verbal and written communication skills to work in a global team and with customers on a regular basis. Location : Bangalore (Remote till covid) Work timings : 2.30 pm- 11.30 pm Notice Period : Immediate-30 day

About OnlineSales.ai Built by ex-Amazon ad-tech experts, OnlineSales.ai offers a future-proof Retail Media Operating System - boosting Retailer s profitability by 7% of Sales! We are an Enterprise B2B SaaS startup, based out of Pune India. With OnlineSales.ais platform, Retailers activate and delight 10x more Brands by offering an omni-channel media buying experience, advanced targeting, analytics & 2x better ROAS. Tier 1 Retailers and Marketplaces globally are accelerating their Monetization strategy with OnlineSales.ai and are innovating ahead of the market by at least 2 years. What will you do @OnlineSales? Lead with Vision : Define and evangelize a cohesive UX strategy that aligns with product and company goals. Raise the bar for user experience across the platform. Team Leadership & Mentorship : Hire, develop, and inspire a high-performing team of UX designers and researchers. Create career paths, design rituals, and feedback frameworks. Design Culture : Establish UX best practices, design systems, and cross-functional collaboration norms. Foster a culture of creativity, ownership, and user-first thinking. Product Partnership : Partner with Product, Engineering, and Marketing leaders to shape product direction and translate user insights into scalable solutions. Customer Obsession : Champion user research and usability testing. Advocate for user needs and pain-points across the product lifecycle from discovery to delivery. Enterprise Experience : Navigate the complexity of enterprise SaaS UX balancing power with simplicity, and depth with clarity. Data-Informed Decisions : Drive UX metrics, measure success through usage and satisfaction data, and influence with qualitative and quantitative insights. Brand Stewardship : Ensure consistent visual language and branding across product surfaces and marketing assets. You will be a great fit if you have: 10+ years of experience in UX/UI design with 5+ years in leadership roles, ideally in enterprise SaaS or platform-based products. A strong portfolio demonstrating user-centered design solutions for complex, data-rich, or enterprise-grade products. Experience in leading and scaling design teams, setting UX vision, and managing stakeholder expectations. Deep knowledge of user-centered design principles, design systems, and UX research methodologies. Hands-on proficiency with Figma, Adobe CC, and prototyping tools. Comfort collaborating with developers and familiarity with HTML/CSS, component libraries, and front-end technologies. Bonus: Experience or familiarity with ad-tech, mar-tech, or retail-tech domains. Excellent communication, storytelling, and stakeholder management skills. A curious mindset, structured problem-solving ability, and a relentless drive to improve user outcomes. Why OnlineSales.ai? Startup-y . We believe Startup is a mindset. It s about being scrappy, being nimble, solving tough problems with constrained resources, and more. It s about working hard and playing hard Enterprise SaaS . Opportunity to work with an Enterprise Product SaaS firm with aspirations of growing 10x across the globe AI-led Retail Tech . We are working to digitize & democratize one of the most exciting and growing verticals - Retail Tech leveraging data, machine learning, and automation (culmination of ad-tech, mar-tech, and analytics for Retail vertical) Meaningful work . This is not just a job. You can find a job anywhere. This is a place for the bold to get paid who make a real impact on business No red tape . Say goodbye to pointless meetings or political hoops to jump through. We re scrappy, believe in autonomy, and empower our teams to do whatever it takes to do the unthinkable Problem Solving . We ignite the best in you. We exist not only to deliver meaningful innovation but to ignite and inspire the creative problem-solver in you Quirky & fun . Enjoy new skills and hobbies like being a quiz master, playing board games, trying your hands on percussion, playing Djembe, and spreading love within the org!

Fi Money is a new age money management app designed to simplify your financial life. With Fi, you can save, pay, invest, or borrow, all in one place. You can track and analyze your expenses across Fi and all your other bank accounts. You can also apply for a credit card, access instant loans, and grow your wealth and more with our range of investment options. We re looking for a Fraud / AML Analyst to join our Analytics team. In this role, you will help us monitor and analyze customer transactions and behaviors to detect and prevent fraud and financial crimes. You will work closely with teams across business, product and operations to strengthen fraud detection and AML controls. This role also includes building and deploying machine learning models to proactively detect risk patterns and suspicious activity. What You ll Do: -Monitor transactions and user behavior to detect suspicious activity -Investigate fraud alerts, patterns, and anomalies using data -Build and refine rule-based and ML-based models for fraud and AML detection -Use statistical and machine learning techniques to predict and prevent financial crime -Partner with product, tech, and operations teams to strengthen controls and automate workflows -Prepare documentation for internal tracking and external compliance -Continuously improve detection systems through data analysis and feedback loops Must-Have Skills: -1+ years of experience in fraud risk, AML analytics, or transaction monitoring -Hands-on experience with SQL and Python strong data querying and analysis skills -Exposure to ML model development from data preparation to evaluation and deployment -Familiarity with fraud/AML use cases in fintech, banking, or payments -Strong analytical and problem-solving skills, with attention to detail -Ability to thrive in a fast-paced, cross-functional environment -Familiarity with data visualization tools like Tableau This is a 5 days work from office role and we are in Brookfield, Bengaluru.

Description We are seeking a highly skilled and motivated AI Engineer with expertise in Python and AI frameworks to join our dynamic team. The ideal candidate should have more than 5 years of IT experience, with at least 3 years of specific experience working with AI platforms and Python. As AI Engineer, you will play a crucial role in developing and implementing innovative solutions that leverage AI/ML platform to extract valuable insights from complex data sets. Your work will contribute to enhancing our data-driven decision-making processes and advancing our products and services. Responsibilities: Partner with stakeholders to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform. Develop and implement state of the art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training , and optimizing model performance for real-world deployment to maximize business impact. Forge and manage relationships with our customers leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow. Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI . Serve as the voice of our business stakeholders for new AI paradigms, data science workflows, and share customer feedback to product teams Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI. Qualifications 5 years of customer-facing experience in the design and implementation of AI/ML solutions. Proficient in Python. Expertise in AI frameworks and libraries, such as scikit-learn, PyTorch , Hugging Face Transformers, LangChain , and OpenAI APIs. Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement. Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. Ability to work in a fast-paced environment and balance priorities across multiple projects at once. B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience. Job Information Technology Primary Location India-Karnataka-Bengaluru Schedule: Full-time Travel: No Req ID: 251422

Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. ","responsibilities":" Your Future team At DevInfra Transformations, we enable teams to ship quality at velocity. Our focus is to Build an industry-leading platform. Validate our hypothesis with data. Ship features for internal and external usage . This is accomplished by building complete end-to-end ML enabled development cycle and leveraging AI capabilities extensively. This is a unique opportunity to work in a collaborative environment, implement the cutting edge machine learning techniques, especially forecasting modelings, and tackle challenging and distinctive problems. Responsibilities As a Senior Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with engineering and analytics teams, to build the AI functionality into Atlassian products and platforms. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AIs transformative potential is realized across Jira. Qualifications On the first day, well expect you to have Bachelors or Masters degree (preferably a Computer Science degree or equivalent experience) 8+ years of related industry experience in the data science domain Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks) Experience building and scaling machine learning models in business applications using large amounts of data Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future" Agile development mindset, appreciating the benefit of constant iteration and improvement Good to have Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space Experience in developing deep learning-based models and working on LLM-related applications Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions ","qualifications":" Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit

Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Your Future team At DevInfra Transformations, we enable teams to ship quality at velocity. Our focus is to Build an industry-leading internal platform. Validate our hypothesis with data. Ship features for internal and external usage . This is accomplished by building complete end-to-end ML enabled development cycle and leveraging AI capabilities extensively. This is a unique opportunity to work in a collaborative environment, implement the cutting edge machine learning techniques, especially forecasting modelings, and tackle challenging and distinctive problems. ","responsibilities":" As a principal Machine Learning engineer, you will independently work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with engineering and analytics teams, to build the AI functionality for Atlassian. Your daily responsibilities will encompass a broad spectrum of tasks such as understanding system and model architectures, conducting rigorous experimentation and model evaluations and dealing with related problems. Your role is pivotal, stretching beyond these tasks, ensuring AIs transformative potential is realized across Atlassian products and platforms. ","qualifications":" On the first day, well expect you to have 10+ years of total experience, 5+ years of related industry experience in the MLE / data science domain Fluency in Python Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP. Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas Good Understanding of Machine Learning project lifecycle Experience in architecting and implementing high-performance RESTful microservices ( API development for ML Models ) Familiarity with MLOps and experience with scaling and deploying Machine Learning models Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future" Agile development mindset, appreciating the benefit of constant iteration and improvement Experience in model fine tuning, data collection, reinforced learning, synthetic data generation, feedback loop, latency / accuracy improvements, quantisation etc Ability to lead independently Its Great, But Not Required, If You Have Experience in developing deep learning-based models and working on LLM-related applications Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions. Experience or passion on building cutting edge developer tools products with AI/ML Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit

Python Software Development Sr.Analyst Job Description In these roles, you will be responsible for: Design, implement, and test generative AI models using python and various frameworks such as Pandas, TensorFlow, PyTorch, and OpenAI. Research and explore new techniques and applications of generative AI, such as text, image, audio, and video synthesis, style transfer, data augmentation, and anomaly detection. Collaborate with other developers, researchers, and stakeholders to deliver high-quality and innovative solutions. Document and communicate the results and challenges of generative AI projects. Required Skills for this role include: Technical skills 3 + years Experience in developing Python frameworks such DL, ML, Flask At least 2 years of experience in developing generative AI models using python and relevant frameworks. Good knowledge in RPA Strong knowledge of machine learning, deep learning, and generative AI concepts and algorithms. Proficient in python and common libraries such as numpy, pandas, matplotlib, and scikit-learn. Familiar with version control, testing, debugging, and deployment tools. Excellent communication and problem-solving skills. Curious and eager to learn new technologies and domains. Desired Skills: Knowledge of Django, Web API Proficient exposure on MVC.

Req ID: 316092 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a ServiceNow integration lead developer to join our team in Chennai, Tamil N du (IN-TN), India (IN). ServiceNow Integration Lead Developer Experience: Overall 8+ years ServiceNow: 5+ Years Modules managed in ServiceNow: Should have fair idea about all ITSM modules with good hands on experience in atleast below 1. Incident Management 2. Change Management 3. Problem Management 4. Request Management 5. Configuration Management 6. Knowledge Management 7. Agent & NOW Mobile app customization Additional modules (good knowledge if not working experience) 1. AMDB 2. Release Management 3. Survey Management 4. Agile 2.0 5. Virtual Agent 6. Artificial Intelligence 7. Machine Learning 8. Agent Workspace 9. Walk-up experience Key Areas: 1. Strong in Integrations in ServiceNow. Should have done H2H Integrations (ITSM tool to ITSM tool bi-derectional), Tools Integrations (e.g. Splunk, Netcool, SNOW CMDB, Solarwinds, Truesight etc) 2. Should have done/managed instance upgrades 3. Should have good experience working on Domain Separated instance 4. Should have interacted with ServiceNow via HI on case by case basis Components worked on: 1. Workflows 2. Flow designer 3. Service Portal 4. Integration Hub 5. Basic ones like Business Rules, Script Includes, Script Actions, UI Actions, UI Policies, Data Policies, Client Scripts, ACLs etc Minimum Certifications: 1. ServiceNow Admin 2. ServiceNow ITSM Specialist 3. ITIL Foundation

Req ID: 312429 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Responsibilities: Conduct data analysis using Python. Develop AI models leveraging Langchain, LlamaIndex, and Azure OpenAI Services. Utilize Generative AI models and Natural Language Processing techniques. Implement Retrieval-Augmented Generation (RAG) solutions. Apply machine learning algorithms, data pre-processing, and manage AI lifecycle (model training, validation, monitoring). Minimum Skills Required: Qualifications: 2+ years of experience with AI Python development Bachelor s degree in computer science, Information Technology, or related field. Strong analytical skills and attention to detail. Ability to work independently or as part of a team. #GenAINTT

Req ID: 323766 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Gen AI Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Duties: Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence Apply statistical skills and advanced statistical techniques and concepts. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks (Langchain and LlamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.). Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras. Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries. Contribute to the development of frameworks, capabilities, and features for NTT DATA s global GenAI platform and TechHub. Work on RAG models to enhance AI solutions by incorporating relevant information retrieval mechanisms. Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights. Collaborate with data science teams to build, tune, and iterate on machine learning models and prompts. Work closely with customers to understand their requirements and deliver customized AI solutions. Interact at appropriate levels to ensure client satisfaction and project success. Communicate complex technical concepts clearly to non-technical audiences. Preferred experience in Private AI and Smart Agent Solutions Minimum Skills Required: 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions 5+ year(s) of experience participating in projects that focused on one or more of the following areas: o Predictive Analytics o Data Design o Generative AI o AI/ML o ML Ops 3+ years of experience using Python. Ability to travel at least 25%. Bachelor s Degree required.

Req ID: 312440 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital Engineering Sr. Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Responsibilities: Conduct data analysis using Python. Develop AI models leveraging Langchain, LlamaIndex, and Azure OpenAI Services. Utilize Generative AI models and Natural Language Processing techniques. Implement Retrieval-Augmented Generation (RAG) solutions. Apply machine learning algorithms, data pre-processing, and manage AI lifecycle (model training, validation, monitoring). Minimum Skills Required: Qualifications: 2+ years of experience with AI Python development Bachelor s degree in computer science, Information Technology, or related field. Strong analytical skills and attention to detail. Ability to work independently or as part of a team.

Req ID: 323226 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital Solution Architect Sr. Advisor to join our team in Bengaluru, India, Karn taka (IN-KA), India (IN). Key Responsibilities: Design data platform architectures (data lakes, lakehouses, DWH) using modern cloud-native tools (e.g., Databricks, Snowflake, BigQuery, Synapse, Redshift). Architect data ingestion, transformation, and consumption pipelines using batch and streaming methods. Enable real-time analytics and machine learning through scalable and modular data frameworks. Define data governance models, metadata management, lineage tracking, and access controls. Collaborate with AI/ML, application, and business teams to identify high-impact use cases and optimize data usage. Lead modernization initiatives from legacy data warehouses to cloud-native and distributed architectures. Enforce data quality and observability practices for mission-critical workloads. Required Skills: 10+ years in data architecture, with strong grounding in modern data platforms and pipelines. Deep knowledge of SQL/NoSQL, Spark, Delta Lake, Kafka, ETL/ELT frameworks. Hands-on experience with cloud data platforms (AWS, Azure, GCP). Understanding of data privacy, security, lineage, and compliance (GDPR, HIPAA, etc.). Experience implementing data mesh/data fabric concepts is a plus. Expertise in technical solutions writing and presenting using tools such as Word, PowerPoint, Excel, Visio etc. High level of executive presence to be able to articulate the solutions to CXO level executives. Preferred Qualifications: Certifications in Snowflake, Databricks, or cloud-native data platforms. Exposure to AI/ML data pipelines, MLOps, and real-time data applications. Familiarity with data visualization and BI tools (Power BI, Tableau, Looker, etc.).

Job Responsibilities: Development of AI/ML models and workflow to apply advanced algorithms and machine learning Enable team to run an automated design engine Creates design standards and assurance processes for easily deployable and scalable models. Ensure successful developments: Be a technical leader through strong example and training of more junior engineers, documenting all relevant product and design information to educate others on novel design techniques and provide guidance on product usage CI/CD Pipeline (Azure Devops/Git) integration as Code repository. Minimum Qualifications (Experience and Skills) 5+ years of Data science experience A strong software engineering background with emphasis on C/C++ or Python 1+ years of experience in AWS Sagemaker Services Exposure to AWS lambda ,API Gateway, AWs Amplify & AWS Serverless , AWS Cognotio, AWS Security Experience in debugging complex issues with a focus on object-oriented software design and development Experience with optimization techniques and algorithms Experience developing artificial neural networks and deep neural networks Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams Ability to communicate and document design work with clarity and completeness Previous experience working on machine learning projects. Team player with a strong sense of urgency to meet product requirements with punctuality and professionalism Preferred Qualifications Programming Experience in Perl / Python / R / Matlab / Shell scripting Knowledge of neural networks, with hands-on experience using ML frameworks such as TensorFlow or PyTorch Knowledge of Convolutional Neural Networks (CNNs), RNN/LSTMs Knowledge of data management fundamentals and data storage principles Knowledge of distributed systems as it pertains to data storage and computing Knowledge of reinforcement learning techniques Knowledge of evolutionary algorithms AWS Certification

Role Purpose The purpose of the role is to create exceptional and detailed architectural application design and provide thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1. Develop architectural application for the new deals/ major change requests in existing deals a. Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. b. Manages application assets and directs the development efforts within an enterprise to improve solution delivery and agility c. Guides how to construct and assemble application components and services to support solution architecture and application development d. Maintains the frameworks and artefacts used in the implementation of an application, with reference to the systematic architecture of the overall application portfolio e. Responsible for application architecture paradigms such as service-oriented architecture (SOA) and, more specifically, microservices, ensuring business achieve agility and scalability for a faster time to market f. Provide solution of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration design framework/ architecture Depending on the clients need with particular standards and technology stacks create complete RFPs Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Tracks industry and application trends and relates these to planning current and future IT needs g. Provides technical and strategic inputs during the project planning phase in the form of technical architectural designs and recommendations h. Account mining to find opportunities in the existing clients i. Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture. j. Identifies implementation risks and potential impacts. k. Create new revenue streams within applications as APIs that can be leveraged by clients l. Bring knowledge of automation in application by embracing Agile and dev-ops principles to reduce manual part 2.Understanding application requirements and design a standardize application a. Creating Intellectual Property in forms of services, patterns, models and organizational approaches b. Designing patterns, best practices and reusable applications that can be used for future references c. Ensure system capabilities are consumed by system components and set criteria for evaluating technical and business value in terms of Tolerate, Invest, Migrate and Eliminate d. Provide platform to create standardize tools, uniform design and techniques are maintained to reduce costs of maintenance e. Coordinating input on risks, costs and opportunities for concepts f. Developing customised applications for the customers aligned with their needs g. Perform design and code reviews thoroughly on regular basis, keeping in mind the security measures h. Understanding design and production procedures and standards to create prototypes and finished products i. Work closely with systems analysts, software developers, data managers and other team members to ensure successful production of application software j. Offer viable solutions for various systems and architectures to different types of businesses k. Seamless integration of new and existing systems to eliminate potential problems and maintain data structure and bring value in terms of development l. Transforming all applications into digital form and implement and evolve around mesh app and service architecture that support new technologies like IOT, blockchain, machine learning, automation, BOTS etc m.Cloud Transformation(Migration) Understanding non-functional requirements Producing artefacts such as deployment architecture, interface catalogue Identify internal and external dependency, vendor and internal IT management Support build and testing team n.Cloud Transformation(Modernization) Understanding and Defining target architecture in Integration space Assessing project pipeline / demand and align to target architecture Technical support of delivery team in terms and POC and technical guidance o.Keep Up-to-date with the latest technologies in the market Mandatory Skills: Enterprise Architecting. Experience8-10 Years.

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Deliver No.Performance ParameterMeasure1.Continuous technical project management & deliveryAdoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created2.Client CentricityNo. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation3.Capability Building & Team Management% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external)

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Primary Skill Python (DSA) Exploratory data analysis using pandas,numpy, Seaborn, Matplotlib TensorFlow, PyTorch, Scikit-learn Large-language models, RAG, MCP , Agentic AI Azure Cognitive services /Azure AI found . Vertex- AI Github Agile Problem solving skills System design thinking Observability Mandatory Skills: Generative AI. Experience5-8 Years.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: Data Science. Experience5-8 Years.

We are looking for a highly skilled Business Analyst with a focus on AI Cognitive at Wipro Technologies, specifically within the TS - DATA ANALYTICS & AI sector. you will be responsible for driving innovation and delivering top-notch AI/ML solutions in the healthcare sector. Your role will involve a wide range of tasks from AI/ML development and deployment to collaboration with cross-functional teams and ensuring compliance with AI ethics and standards. Preferred qualifications for this role include experience in AI/ML in healthcare, proficiency in Python and deep learning frameworks like PyTorch, and expertise in working with cloud development environments such as Azure, AWS, and GCP. You should also have a solid understanding of Generative AI technology, NLP, and machine learning models deployment. Mandatory Skills: AI Cognitive. Experience5-8 Years.

Mandatory Skills: Data Analysis. Experience5-8 Years.

Role Purpose Mandatory Skills: Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models Design and develop prompts suiting project needs Stakeholder management across business and domains as required for the projects Evaluating base models and benchmarking performance Implement prompt guardrails to prevent attacks like prompt injection, jail braking and prompt leaking Develop, deploy and maintain auto prompt solutions Design and implement minimum design standards for every use case involving prompt engineering You will be responsible for training the machine learning and deep learning model. Writing reusable, testable, and efficient code using Python Design and implementation of low-latency, high-availability, and performant applications Implementation of security and data protection Integration of data storage solutions and API Gateways Production change deployment and related support Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Experimentation fuels Amazon s innovation. If you are an innovative, hands-on problem solver who is passionate about technology, understands cloud architectures, quick to pick up emerging technologies, and like to build solutions that prove functional valuethis could be the role for you! AWS Prototyping and Cloud Engineering (PACE) team is seeking a senior technical professional to join the team to support our rapidly growing and dynamic business. The PACE team helps customers experiment with emerging technology through building early iterations of products and solutions, often exploring new technical grounds and industry first solutions with technology like artificial intelligence and machine learning, generative AI, robotics, deep learning, spatial compute, and server-less architectures etc. Our purpose is to empower customers to innovate faster, think bigger, and help bring their ideas to life. Youll work closely with AWS Field Teams including Account Managers, Solution Architects, Technical Account Managers, to partner with customers to solve complex problems with emerging technologies. Drive customer outcomes and AWS service adoption, by building functional prototypes that accelerate AWS customers experimentation journey. Be the lead technical person in the room engaging with other senior leaders from technical and business domains, earning trust with expertise and leading with influence. Educate customers on the AWS services and technologies, understand and anticipate customers business needs, participate in deep architectural design discussions to ensure Prototypes are built for successful deployment in the cloud. Act as a technical liaison between customers, partners, service engineering teams, sales, professional services, and support. Push the technical bar, take the initiative to learn and experiment with emerging technologies in areas of Generative AI, Machine Learning, Blockchain, AR/VR, IoT, etc. in an enterprise context. Act as a Thought Leader for your area of technical expertise, and share best-practices among the technical community inside and outside of AWS. Author or contribute to AWS customer-facing publications such as whitepapers, tutorials, blogs, open-source code repositories etc. Mentor, support and guide, others in the AWS Solutions Architect Community. About the team AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing smalland mid-market accounts to enterprise-level customers including public sector. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, 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. 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. Inclusive Team Culture Here at AWS, it s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and 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. 10+ years of IT development or implementation/consulting in the software or Internet industries experience 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Deep knowledge of software development tools, agile methodologies, active, hands-on coding, and application design experience. Proficiency developing in one or more modern programming language; Full-Stack development skills: Java, Python, Javascript, GoLang, React, AngularJS, CSS, etc.). Ensure technical output, such as code and other artifacts, are packaged in an easily consumable and repeatable way for customers and internal teams including marketing, solutions architecture, and support. Must be able to drive discovery discussions, clearly scope out problems, whiteboard technical architectures and quickly go hands-on keyboard implementing them. Knowledge of AWS services, market segments, customer base and industry verticals 6+ years as a technical leader. Ability to lead in-depth architectural discussions with the customer, partners, and other AWS teams. Experience working with Machine Learning and GenAI tools, including coding assistants

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing smalland mid-market accounts to enterprise-level customers including public sector. Experimentation fuels Amazon s innovation. If you are a highly creative hands-on builder, who is passionate about technology, understand cloud architectures & platforms, are quick to pick up emerging technologies, and like to build solutions that prove functional valuethis could be the role for you! AWS Prototyping and Cloud Engineering (PACE) team is seeking a Prototype Architect, to support our rapidly growing and dynamic business. The PACE team helps customers experiment with emerging technology through building early iterations of products and solutions, often exploring new technical grounds and industry first solutions with technology like artificial intelligence and machine learning, generative AI, robotics, deep learning, spatial compute, and server-less architectures etc. Our purpose is to empower customers to innovate faster, think bigger, and help bring their ideas to life. Youll work closely with AWS Field Teams including Account Managers, Solution Architects, Technical Account Managers, to partner with customers to solve complex problems with emerging technologies. Drive customer outcomes and AWS service adoption, by building functional prototypes that accelerate AWS customers experimentation journey. Combine design and architecture knowledge with development capability, participate and contribute in deep-dive design exercises and architectural discussions, to build world-class solutions on AWS. Conduct one-to-one, one-to-few and one to many sessions, to transfer knowledge to customers, partners, and internal teams. Take the initiative to learn and experiment with emerging technologies in areas of Generative AI, Machine Learning, Blockchain, AR/VR, IoT, etc. in an enterprise context. Author or contribute to AWS customer-facing publications such as whitepapers, tutorials, blogs, open-source code repositories etc. 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 description, we encourage candidates to apply. If your career 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. 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience 3+ years of design, implementation, or consulting in applications and infrastructures experience Knowledge of software development tools and methodologies Experience working with one or more modern programming language: Java, Python, Javascript, GoLang, React, AngularJS, CSS, etc.) Knowledge of AWS services Experience working with end user or developer communities Experience working with Machine Learning and GenAI tools, including code assistants