486 Aiml Jobs - Page 2

Position Name: Data Scientist/Lead Data Scientist Job Details: We are seeking a highly motivated and enthusiastic Junior Data Scientist with 5-10 years of experience to join our data science team. This role offers an exciting opportunity to contribute to both traditional Machine Learning projects for our commercial IoT platform and cutting-edge Generative AI initiatives. Experience 5-10 years of hands-on experience with machine learning Exposure to Generative AI concepts and techniques, such as Large Language Models (LLMs), RAG Architecture Experience in manufacturing and with an IoT platform is preferable Role and Responsibilities: Key Objectives Machine Learning (ML): Assist in the development and implementation of machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Help with Python development to integrate models with the overall application Monitor and evaluate model performance using appropriate metrics and techniques. Generative AI: Build Gen AI-based tools for various business use cases by fine-tuning and adapting pre-trained generative models Support the exploration and experimentation with Generative AI models Research & Learning: Stay up-to-date with the latest advancements and help with POCs Proactively research and propose new techniques and tools to improve our data science capabilities. Collaboration and Communication: Work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to understand requirements and deliver impactful solutions. Communicate findings, model performance, and technical concepts to both technical and non-technical audiences. Technical Competencies Programming: Proficiency in Python, with experience in libraries like numpy, pandas, and matplotlib for data manipulation and visualization. ML Frameworks: Experience with TensorFlow, PyTorch, or scikit-learn. Cloud & Deployment: Basic understanding of cloud platforms such as Databricks, Google Cloud Platform (GCP), or Microsoft Azure for model deployment. Data Processing & Evaluation: Knowledge of data preprocessing, feature engineering, and evaluation metrics such as accuracy, F1-score, and RMSE.

Role Overview:As a Senior Principal Software Engineer, you will be a key technical leader responsible for shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions. You will lead high priority projects, set technical direction for teams, and ensure alignment with organizational goals. Thisrole demands a high degree of technical expertise, strategic thinking, and the ability to collaborate effectively across diverse teams while mentoring and elevating others to meet a very high technical bar. Key Responsibilities: Strategic Technical Leadership : Define and drive the technical vision and roadmap for AI/GenAI systems, aligning with company objectives and future growth. Provide architectural leadership for complex, large-scale AI systems, ensuring scalability, performance, and maintainability. Act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies. Advanced AI Product Development: Lead the development of state-of-the-art generative AI solutions, leveraging advanced techniques such as transformer models, diffusion models, and multi-modal architectures. Drive innovation by exploring and integrating emerging AI technologies and best practices. Mentorship & Team Growth: Mentor senior and junior engineers, fostering a culture of continuous learning and technical excellence. Elevate the team’s capabilities through coaching, training, and providing guidance on best practices and complex problem-solving. End-to-End Ownership: Take full ownership of high-impact projects, from ideation and design to implementation, deployment, and monitoring in production. Ensure the successful delivery of projects with a focus on quality, timelines, and alignment with organizational goals. Collaboration & Influence: Collaborate with cross-functional teams, including product managers, data scientists, and engineering leadership, to deliver cohesive and impactful solutions. Act as a trusted advisor to stakeholders, clearly articulating technical decisions and their business impact. Operational Excellence: Champion best practices for software development, CI/CD, and DevOps, ensuring robust and reliable systems. Monitor and improve the health of deployed services, conducting root cause analyses and driving preventive measures for long-term reliability. Innovation & Continuous Improvement: Advocate for and lead the adoption of new tools, frameworks, and methodologies to enhance team productivity and product capabilities. Stay at the forefront of AI/GenAI research, driving thought leadership and contributing to the AI community through publications or speaking engagements. Minimum Qualifications: Educational BackgroundBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; Ph.D. is preferred but not required. Experience10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. Proven track record of designing and deploying scalable, production-grade AI solutions. Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, and LangChain. Advanced knowledge of AI/ML algorithms, generative models, and LLMs. Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL). Leadership Skills: Demonstrated ability to lead complex technical initiatives, influence cross functional teams, and mentor engineers at all levels. Problem-Solving Skills: Exceptional analytical and problem-solving skills, with a proven ability to navigate ambiguity and deliver impactful solutions. CollaborationExcellent communication and interpersonal skills, with the ability to engage and inspire both technical and non-technical stakeholders. Preferred Qualifications: AI/ML ExpertiseExperience with multi-modal models, reinforcement learning, and responsible AI principles. Cloud & InfrastructureAdvanced knowledge of GCP technologies such as VertexAI, BigQuery,GKE, and DataFlow. Thought LeadershipContributions to the AI/ML community through publications, open-source projects, or speaking engagements. Agile ExperienceFamiliarity with agile methodologies and working in a DevOps model. Disability Accommodation: UKGCareers@ukg.com.

Technical Responsibilities: Understand complex business problems and implement product features that are secure, scalable, robust, and easy to implement and maintain for AI products. Take full ownership of product features to implement, provide bug fixes and write tests and tooling for those features to ensure they work well at cloud scale. Identifying and leading technical initiatives independently towards planned outcomes. Collaborate with Data Scientists, Python Engineers, and Product Management to design and deliver product features. Stay abreast of the latest AI/ML research and technologies and evaluate their applicability to business problems. Oversee the end-to-end lifecycle of AI features - from ideation and prototyping to deployment and monitoring. People Management Responsibilities : Provide technical and career mentorship to team members; foster a culture of continuous learning and improvement. Embrace an AI-first approach to enhance efficiency across all areas. Manage and guide a team of AI Engineers, including performance evaluations, goal setting, and skill development. Facilitate effective collaboration within the team and across cross-functional stakeholders (QA, Product, Architecture). Promote a positive team environment, resolve conflicts, and support team engagement and motivation. Support resource planning, workload distribution, and succession planning based on project and organizational needs. Act as a point of escalation for team-related challenges and facilitate solutions in coordination with leadership. Qualifications Experience - 12-16 years with at least 46 years in AI/ML-focused roles and 2+ years in leadership capacity. Exposure to Agile methodologies and DevOps practices. Expertise on the Microsoft technology stack (ASP.NET MVC 3.5 / 4.0 / 4.5, Web API, SQL Server). Good knowledge of Client-side scripting JavaScript and jQuery, Kendo, ReactJS. Good knowledge of AI services and LLMs to deliver solutions. 6. Familiarity with responsible AI practices, model interpretability, and ethical AI considerations. Good to have Python and familiarity with data engineering tools and cloud platforms (e.g., AWS, Azure, GCP). Knowledge of design patterns is required. Excellent communication skills with the ability to engage both technical and non-technical stakeholders. Demonstrated experience with non-functional requirements like performance, scalability, and security. Experience in AI Product Engineering is desirable.

Primary Responsibilities As a AI/ML Engineer, Candidate will be responsible for creating machine learning models and retraining systems The ideal candidate will work closely with AI Architects, Cloud Engineers, and a CRM Development Team, such as Salesforce Role will involve working with GenAI models like Gemini, GPT4, and others, as well as traditional machine learning models from the NLP/Deep Learning discipline A key part of role will be evaluating models and maintaining ethical responsibilities They must be able to work collaboratively with a diverse team and have a solution-oriented mindset Collaborate with AI Architects, Cloud Engineers, and a CRM Development Team to design and implement machine learning models and systems Work with GenAI models like Gemini, GPT4, as well as traditional machine learning models from the NLP/Deep Learning discipline Retrain existing models and systems to ensure their accuracy and efficiency Evaluate machine learning models and ensure they adhere to ethical standards Stay current with the latest trends and technologies in machine learning and artificial intelligence Provide technical support and guidance to the development team on machine learning-related issues Troubleshoot any issues related to the machine learning systems and conduct regular system tests to ensure their functionality and efficiency Document all procedures and systems related to the machine learning infrastructure for future reference and audits Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Graduate degree or equivalent experience 4 year bachelor’s degree in Computer Science / Information Technology / Computer Engineering from a recognized university or equivalent experience 7+ years of experience in Java 3+ years of experience in Spring Boot & Microservices 1+ years of experience in AI ML Proven experience as a Machine Learning Engineer or similar role in the industry Experience working with AI technologies and cloud platforms (Google Cloud Platform, GCP) Solid knowledge of GenAI models like Gemini, GPT4, and traditional machine learning models from the NLP/Deep Learning discipline Proven excellent problem-solving and troubleshooting skills. Ability to work collaboratively with a diverse team of engineers, architects, and developers Tech-savvy professional with an in-depth understanding of machine learning models and technologies Solid commitment to maintaining ethical standards in their work Preferred Qualifications: Machine Learning certifications Experience in a Healthcare Payer enterprise Experience in training team members on machine learning technologies and applications Proficient in CRM platforms, such as Salesforce Knowledge of data privacy regulations and practices Solid communication and project management skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone – of every race, gender, sexuality, age, location and income – deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission. #Nic External Candidate Application Internal Employee Application

AI/ML/CV engineer with expertise in intelligent system design, deep learning, and sensor integration. Proficient in Python, Tensor Flow, PyTorch; skilled in hardware interfacing, cloud/edge deployment, and optimization.

Educational Bachelor of Engineering Service Line Quality Responsibilities Data Science Consultant with machine learning and Python experience. Knowledge on end-to-end architecture of Data Science and machine learning project. Experience in productionizing machine learning models and guide development team for implementing machine learning use cases. The candidate should provide technology consulting for defining right Data Science and ML use cases.Responsibilities: Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL

Job Description The Role: Lead, Database Engineering. The Team: We are seeking for a highly experienced Lead Database Administrator (DBA) with proven expertise in managing a team of 10 people and handle complex enterprise database environments and integrating AI-driven solutions for intelligent performance tuning, automation, and predictive analytics. Combining deep SQL expertise with advanced knowledge in artificial intelligence and machine learning, this professional, leads cross-functional teams in building resilient, secure, and self-optimizing database infrastructures, skilled in automating routine tasks, optimizing query performance, and applying AI to proactively detect anomalies, forecast resource needs, and ensure continuous availability of mission-critical systems. The Impact: This is an excellent opportunity to join Enterprise Solutions as we transform and harmonize our infrastructure into a unified place while also developing your skills and furthering your career as we plan to power the markets of the future. Whats in it for you: This is the place to hold your existing Database, Infrastructure, DevOps and Leadership skills while having the chance to become exposed to fresh and divergent technologies (e.g. AWS/ Snowflake/ Terraforms/Python/CI/CD) Responsibilities: The Lead DBA will manage a team of 10 people and optimize SQL Server 2016/2019/2022, Oracle 12c/19c, Postgres 14/15/16 and MySQL databases hosted in AWS environments such as Amazon RDS, Amazon EC2, and Amazon Aurora. The role requires expertise in database performance tuning, security, cloud-based best practices, proactively detect anomalies, forecast resource needs, and ensure continuous availability The DBA will collaborate closely with architects, developers, system administrators, and Devops teams to ensure efficient database integration with business applications. Team Leadership & Management Leading, mentoring, and guiding a team of database administrators, fostering a collaborative and high-performing environment. Providing expert-level support for escalated database-related issues, leading root cause analysis, and implementing corrective actions. Working closely with other IT teams (e.g., development, devops) to ensure seamless integration and alignment of database solutions. Implementing and enforcing database security policies, managing user access controls, and ensuring data protection and compliance. Assist developers in leveraging SQL Server Profiler, Oracle AWR, and AWS Performance Insights for tuning queries. Work closely with developers to design and maintain optimized database schemas for SQL Server, Oracle, Postgres & MySQL Database Management & Maintenance Administer and maintain SQL Server, Oracle, PostgreSQL, MySQL databases hosted on Amazon RDS and Amazon EC2. Perform database installations, patching, and upgrades on AWS infrastructure. Configure and manage multi-AZ deployments, Read Replicas, AOAG, and Data Guard to ensure high availability. Manage SQL Server Always On configurations for improved failover and availability. Implement database partitioning, compression, and indexing strategies for performance optimization. AI/ML Integration & Automation Implement AI-powered observability tools for predictive monitoring and anomaly detection (e.g. for query optimization or capacity forecasting) Predictive performance modeling (e.g., forecasting CPU, memory usage) AI-based query optimization using workload analysis Proactive alerting using anomaly detection models (e.g., Prophet, isolation forest) Automation scripts in Python and Shell to monitor DB health Integration with AI platforms (Azure ML, AWS Sage Maker, or custom models) Lead efforts in automating DBA task using AI/ML (e.g. index recommendation, workload pattern recognition) Data Integrity & Security Implement security best practices using AWS services like AWS KMS, IAM Roles, and Security Groups for database access control. Manage encryption for data at rest and in transit using Transparent Data Encryption (TDE) for SQL Server and Oracle. Ensure compliance with organizational and industry security standards. Backup & Recovery Design and implement automated backup strategies using AWS Backup and RDS Automated Snapshots for SQL Server. Use Oracle RMAN for Oracle database backups and recovery. Develop and test disaster recovery plans using AWS DMS and Cloud Endure. Monitoring & Alerting Configure proactive alerts for performance issues, storage limits, and availability risks using CloudWatch and AWS SNS. Collaboration & Documentation Collaborate with developers, cloud architects, and DevOps teams to integrate database changes into CI/CD pipelines. Document database architectures, configurations, backup strategies, and recovery plans. Tools & Technologies Oracle Enterprise Manager (OEM), SQL Developer, TOAD Python (pandas, scikit-learn), Oracle ML (OML), AutoML Shell scripting, PowerShell, PL/SQL, PG/SQL Git, Jenkins, Terraform, Ansible, CloudFormation Goldengate, AOAG, DMS, Data guard What We’re Looking For: Oracle Certified Professional (OCP) Microsoft Certified: Database Administrator MySQL Certified: Database Administrators PostgreSQL Certified: Database Administrators AWS Certified Solutions Architect 14+ years of experience as Lead DBA managing a team of 10 or more.

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Strong knowledge in Python ML, AI ML, LLM(Large Lang Model),Gen AI Preferred Skills: Technology-Machine Learning-Generative AI

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Strong knowledge in Python ML, AI ML, LLM(Large Lang Model),Gen AI Preferred Skills: Technology-Open System-Shell scripting-Bash Scripting Technology-Machine Learning-Python Technology-Machine Learning-Generative AI Technology-Machine Learning-AI/ML Solution Architecture and Design-traditional ai ml

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Agile trained to manage team effort and track through JIRA High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline. Additional Responsibilities: Master’s degree in Computer Science Engineering, with Relevant experience in the field of MLOps / Cloud Domain experience in Capital Markets, Banking, Risk and Compliance etc. Exposure to US/ overseas markets is preferred Azure Certified – DP100, AZ/AI900 Domain / Technical / Tools KnowledgeObject oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs Azure ML best practices in environment management, run time configurations (Azure ML & Databricks clusters), alerts. Experience designing and implementing ML Systems & pipelines, MLOps practices Exposure to event driven orchestration, Online Model deployment Contribute towards establishing best practices in MLOps Systems development Proficiency with data analysis tools (e.g., SQL, R & Python) High level understanding of database concepts/reporting & Data Science concepts Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team Experience in managing client relationship and developing business cases for opportunities Azure AZ-900 Certification with Azure Architecture understanding is a plus Technical and Professional : Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to – Python Programming - Expert and Experienced - 4 -5 years DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum Hands-On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Assist team to coding standards (flake8 etc) Guide team to debug on issues with pipeline failures Engage with Business / Stakeholders with status update on progress of development and issue fix Automation, Technology and Process Improvement for the deployed projects Setup Standards related to Coding, Pipelines and Documentation Adhere to KPI / SLA for Pipeline Run, Execution Research on new topics, services and enhancements in Cloud Technologies Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision

Educational Bachelor of Engineering Service Line Equinox Responsibilities A day in the life of an Infosys Equinox employee As part of the Infosys Equinox delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!Infosys Equinox is a human-centric digital commerce platform that helps brands provide an omnichannel and memorable shopping experience to their customers. With a future-ready architecture and integrated commerce ecosystem, Infosys Equinox provides an end-to-end commerce platform covering all facets of an enterprise’s e-commerce needs. Additional Responsibilities: Communication and Good Problem-solving skills. Good understanding of the functional capabilities of the e-commerce platform. Exposure to a variety of front-end, middleware, and back-end technologies Capable of contributing code to any area in the project’s technical stack. Understanding coding practices, code quality, and code coverage Technical and Professional : Frameworks - Proficiency in React, JQuery. E-Commerce Web application development Preferred Skills: Technology-Reactive Programming-react JS

Educational Bachelor of Engineering Service Line Digital Experience Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management Technical and Professional : Primary skills:Technology-Digital Commerce-Hybris Ecommerce Preferred Skills: Technology-Digital Commerce-SAP Commerce Cloud (Hybris)

Broad expertise in Fincrime Monitoring, AML, KYC, Sanctions Screening, Payment Screening, Fraud etc Proven risk & regulatory experience in financial services gained through management consulting, banking or other relevant industry practitioner or regulatory roles End to end project implementation and cross functional stakeholder management experience including agile project delivery Seasoned business analyst with experience in requirements analysis, requirements management and documentation, exposure to tools like JIRA, Confluence etc hands on with SQL queries Bachelor degree from a reputable Institute. Master degree preferably in a quantitative field Business, Data Science, Statistics, Computer Science, etc. Comfortable with ideation, solution design and development of thought leadership materials and documents to support practice development efforts Exposure to leading vendor products like Actimize, Fircosoft etc is a plus Experience in Data Science, Analytics, AI ML. Gen AI, Data Management, Data Architectures, Data Governance, platforms and applications is a plus Exposure to Consultative sales business development, pre-sales, RFP and proposal development and client management experience is a plus

Write in Python to deliver a wide variety of Machine Learning & Data Science solutions Implement models and algorithms on Databricks and H2O Building tools to accelerate feature experimentation and exploration with lineage, data privacy protection and easier model performance debugging. Collaborate with Product Owners to apply Workdays agile processes and be responsible for the initiation, delivery, and communication of projects for the stakeholder organizations Building ML-as-a-service, with the purpose of taking experiments to production quickly. Share learnings and project findings with the wider Workday Machine Learning Community Willing to work across multiple time zones. What You will Bring Proficient experience in Python coding, SQL, Spark and experience developing models and other data science work with Python 3 - 4+ years of experience implementing models or machine learning algorithms in production Experience on any of these cloud platforms (AWS, Azure, GCP)

Educational Bachelor of Engineering Service Line Enterprise Package Application Services Responsibilities As a Technical Architect, lead the engagement efforts at different stages from problem definition to diagnosis to technical design, development & deployment in large S/4 HANA transformation programs. Create detailed technical design and architecture, and process artifacts, implement the solution and the deployment plan. Connect with senior client business and IT stakeholders, demonstrating thought leadership in New offerings of SAP technology like S/4 HANA, BTP and guiding them on end to end SAP architecture including SaaS and On premise components Contribute to Unit and Organizational initiatives and COEs. Lead the design and implementation of SAP BTP solutions, integrating AI and automation capabilities. Architect and implement SAP solutions that seamlessly integrate with SAP BTP services and components. Provide technical leadership and guidance to the team on BTP architecture and implementation. Design, develop, and implement complex SAP BTP solutions, leveraging services like Cloud Foundry, SAP Integration Suite, and AI/ML capabilities. Additional Responsibilities: Ability to lead large programs and diverse teams across the geographies. Innovative mindset & stay up-to-date on the latest advancements in BTP, AI, and automation technologies. Ability to lead and present proposals and solutions. Strong Client Facing experience, great communication and presentations skills. Strong analytical and decision-making skills Experience in working in Global delivery model (GDM). Ability to lead quality initiatives. Technical and Professional : Minimum 12+ years of SAP extensive experience including SAP ABAP HANA, Fiori or RAP or CAPM, Odata & BTP, Automation & AI/ML. All technical aspects like SAP RAP or CAPM, SAP ABAP OOPS, ODATA, CDS Views, BRF+, S/4 HANA ABAP 7.5 or ABAP on Cloud Coding standards, must have experience in WRICEFS. Good knowledge and experience in one or more functional modules like SD, MM, FICO, EAM, PS, ISU etc. In depth knowledge and experience in Fiori, BTP and integration with 3rd parties Must have done at least one S/4 HANA greenfield or brownfield implementation. Experience with SPAU & SPDD in SAP upgrade and Migration programs. Should possess experience in SAP BTP Administration & BTP Account setup. Experience working on SAP AI Core, AI launchpad, SAP GenAI Hub, SAP Build Portfolio including SAP Build Process Automation, Build Apps & Build Workzone. Experience with API design and management. Preferred Skills: Technology-SAP Technical-SAP Business Technology Platform (SAP BTP)

CREQ224603

AIML Lead/ ArchitectJDDesign, develop, and deploy machine learning models and algorithms using Python. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with NLP frameworks and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of Gen AI/ LLMs Preferrable. Certification in AI/ML or related technologies.

Greetings from Euclid Innovations!!! We have Python Developer with one of our client in Hyderabad. Position : Python Developer Experience : 8+ Years Location : Hyderabad/Bangalore Work Mode: Hybrid Interview Mode: Client Round F2F-In Hyderabad Notice Period: Immediate to 20 Days Max Role Overview: We are looking for a skilled Python Developer with strong Artificial Intelligence (AI) expertise to join our growing technology team. The ideal candidate will be responsible for developing AI-powered solutions using Python and collaborating with data scientists and product teams to bring intelligent features to our applications. Key Responsibilities: Develop and maintain AI-enabled applications using Python. Design and implement machine learning and deep learning models for tasks like classification, prediction, NLP, or computer vision. Collaborate with data scientists to prepare data pipelines and automate model training and evaluation. Develop APIs or microservices to expose AI models and integrate them into front-end systems. Perform data preprocessing, feature engineering, and model validation. Continuously optimize model performance and monitor outputs in production environments. Stay up to date with emerging AI tools, libraries, and trends. Required Skills: Strong knowledge of Python and experience with libraries such as NumPy , Pandas , Scikit-learn , and TensorFlow or PyTorch . Solid understanding of machine learning algorithms , data structures, and OOP principles. Experience in building and deploying ML models in production. Familiarity with RESTful API development using Flask or FastAPI. Experience working with structured and unstructured data . Version control using Git and basic knowledge of DevOps tools. Preferred Qualifications: Bachelors/Master’s degree in Computer Science, Engineering, AI, or related field. Exposure to NLP, computer vision , or time series forecasting. Familiarity with cloud platforms like AWS, GCP, or Azure. Basic knowledge of Docker , Kubernetes , or MLflow is a plus. Nice to Have: Hands-on experience with Generative AI or LLMs . Contributions to AI research or open-source AI projects. Experience with AI model monitoring and performance tuning. if interested share your profile to aruna.c@euclidinnovations.com

Website: Leading Global Technology Research & Advisory Firm | ISG (isg-one.com) Wanted: dynamic and creative individuals ready to connect with a like-minded team. Youll enjoy all the autonomy you need to help our clients make their digital infrastructure faster and more effective. Free reign for free spirits doesn’t mean you’ve got to go it alone. Over 1400 teammates from around the globe are eager to help you out when things get down to wire. Their expertise will put you on the winning path and keep you there. So, get ready to kickstart your career with a team that’s connected – connected by freedom. Role Overview ISG Research is one of the fastest-growing segments within ISG. To enable future growth and scale, we’re modernizing our research operations using AI and intelligent automation.We’re looking for an experienced AI Developer who is passionate about transforming real-world business processes using emerging technology. This is a high-impact role where you’ll work closely with professional researchers, cross-functional business leaders, and global technology stakeholders to shape the future of our research operations. You’ll thrive here if you: Are a creative problem-solver who enjoys figuring things out independently Communicate clearly with both technical and non-technical collaborators Bring a positive, can-do attitude and a drive to make meaningful change Are excited to work across AI, Automation, and Microsoft platforms to build intelligent, scalable systems This role is based in Bangalore and will collaborate with colleagues across the US, Europe, and India . Key Responsibilities Design, develop, and implement AI-driven solutions to streamline and enhance research processes Leverage AI tools (ChatGPT Enterprise, and Microsoft CoPilot Enterprise) and Automation tools (e.g., Azure AI Services, Power Automate, Power Apps, Copilot Studio) to deliver intelligent workflows Build and integrate agentic tools and LLM-powered assistants to support business users Analyze current-state workflows and identify opportunities for automation or augmentation Integrate internal and third-party APIs to extend system capabilities Work with stakeholders to define requirements and translate them into working solutions Document technical designs, processes, and best practices Continuously learn and recommend new tools, approaches, and AI services Technical Skills RequirementsProgramming & Scripting Strong in Python (required) Familiarity with PowerShell , C# , or .NET is a plus (for MS ecosystem alignment) AI/ML Experience Experience working with Azure AI Services (e.g., Azure OpenAI, Azure Machine Learning, Cognitive Services) Familiarity with agent frameworks like LangChain , Semantic Kernel , or Microsoft Copilot Studio Solid understanding of Large Language Models (LLMs) and prompt engineering Ability to build and maintain custom GPT agents or copilots Automation & Integration Experience with Microsoft Power Platform , especially: Power Automate Power Apps Dataverse Integration experience using Microsoft Graph API , REST APIs , or Logic Apps Bonus: Experience with Microsoft Synapse , Azure Data Factory , or RPA tools (UiPath, Power Automate Desktop) Data & Cloud Good understanding of data structures , ETL , and API-based integration Hands-on experience with Azure , including deployment and monitoring of AI services Experience Level 5–10 years of experience in software development, with recent experience focused on AI/ML, automation, or Microsoft technologies Demonstrated ability to independently research and deliver working solutions in ambiguous problem spaces Prior experience modernizing legacy business or knowledge-based workflows is a plus Soft Skills and Traits Strong problem-solving skills and a growth mindset Excellent communication skills, both written and verbal Ability to collaborate across time zones with teams in the US and Europe Comfortable working with domain experts (e.g., researchers, consultants) Organized, curious, and eager to learn Education & Certifications Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field Preferred Certifications: Microsoft Certified: Azure AI Engineer Associate Microsoft Power Platform Developer Associate (or equivalent experience) Work Setup Location : Bangalore, India Work Arrangement : Hybrid – required to work from the office 2–3 days per week Collaborates with teams in India , Europe , and the United States Why Join ISG? Be part of a high-growth, high-impact transformation initiative Use cutting-edge tools across AI, automation, and Microsoft platforms Shape how a successful research business evolves for the next decade Collaborate with a global team of smart, experienced professionals Help define how real AI adoption happens inside the enterprise At ISG, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our clients, and our communities. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. ISG is proud to be an equal opportunity workplace and we are committed to creating an inclusive environment for all employees. The more diverse and inclusive we are, the better our work will be.The duties and responsibilities described in this job description may not be a comprehensive list. Additional tasks may be assigned to the employee from time to time and/or the scope of the job may change as necessitated by business demands.

Job Title: AI Software Developer Location: Pune (Hybrid) Budget: Up to 20 LPA Experience Required: 5+ years (Relevant AI Development Experience) Work Mode: Hybrid (On-site & Remote) Job Summary: We are looking for an AI Developer with hands-on experience working with various AI tools, Proof of Concepts (POCs), and AI-driven projects. The ideal candidate should be proficient in designing, developing, and deploying AI solutions while collaborating with cross-functional teams. Strong problem-solving skills, a passion for AI innovation, and excellent communication abilities are essential. Key Responsibilities: AI Development & Implementation: Develop and implement AI models and algorithms for real-world applications. Work on Proof of Concepts (POCs) and AI-based prototypes, translating ideas into deployable solutions. Optimize and fine-tune AI models for scalability, performance, and efficiency. Integrate AI technologies into existing business processes and software applications. AI Tools & Technology Stack: Hands-on experience with AI/ML tools, frameworks, and libraries such as TensorFlow, PyTorch, OpenAI, LangChain, and Hugging Face. Work with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Computer Vision. Utilize cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment and scaling. Project Execution & Collaboration: Collaborate with data scientists, software engineers, and business teams to define AI driven solutions. Work closely with stakeholders to understand business problems and develop AI-based recommendations. Participate in code reviews, debugging, and troubleshooting to ensure AI applications are robust. Communication & Documentation: Communicate AI concepts, technical findings, and project progress to technical and non-technical stakeholders. Document AI models, processes, and best practices for knowledge sharing. Candidate Requirements: Minimum of 4 years of relevant experience in AI/ML development. Strong experience in building software application using Frontend and Backend tools with AI-driven applications, POCs, and automation solutions. Hands-on expertise with AI tools, frameworks, and cloud platforms. Proficiency in programming languages such as Python, R, React, Node or Java for AI/ML model implementation. Experience in LLMs, NLP, Deep Learning, and Generative AI is preferred. Strong problem-solving and analytical skills to drive AI initiatives. Excellent communication skills to convey technical concepts to diverse audiences. Ability to work in a hybrid model from Pune (on-site and remote). Why Join Us? Opportunity to work on cutting-edge AI technologies and projects. Collaborative environment with AI experts and business leaders. A chance to drive AI innovation in a dynamic and fast-paced setting. Hybrid work model based in Pune.

Apply your engineering expertise using the latest Data Engineering and Data Science technologies as Business Intelligence Development Analyst at the JLL Technologies Global Centre of Expertise in Bangalore, India. The JLL Technologies Product Engineering team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Experience with one or more public clouds such as Azure, AWS and GCP (Azure preferred). Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Bachelor's degree in Computer Science or related discipline or Electronics & Communication Engineering. Advanced degree preferred. 6 months+ of experience Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong experience in Data tools and technologies particularly MS Azure Databricks, SQL. Strong experience in Python, PySpark. Strong experience in building and maintaining data pipelines. Strong knowledge and working experience in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Good knowledge of GitHub, Agile methodologies and tools. Nice to have: Experience in Data Science, AI/ML - good understanding and demonstrated application of the concepts, various models and algorithms. Nice to have: Experience in Tableau, Power BI or other reporting tools.

Details: Job Code Position Title Machine Learning Engineer Location Noida Department Technology Services Experience 5+ yrs Qualification Bachelor's degree in Computer Science, Information Technology, or a related field Responsibilities : 1+ years of experience in statistical programming languages like Python, database query language SQL, machine learning Good applied statistical skills and advanced statistical techniques and concepts Working knowledge on ML frameworks such as TensorFlow, Pytorch Keras, Spacy, scikit-learn. Proven experience in configuring and building GenAI use cases on top of the OpenAI platform. Familiarity with GenAI technologies, frameworks, and libraries. Experience with Azure OpenAi / Open AI platform. Experience with natural language processing (NLP) and computer vision (CV) technologies. Experience with data preprocessing, feature engineering, and model selection techniques. Strong proficiency in artificial intelligence, machine learning, and data analysis. Developing high-quality code to build and deploy machine learning models. Ability to translate business requirements into conceptual and detailed system architecture and technology solutions Expertise in ideating, developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence Experience working in atleast one cloud environment( AWS/Azure/GCP) and model deployment, orchestration, containerization(Kubernetes) Familiarity with intelligent automation tools, workflow automation, and low code no-code platforms is desirable Knowledge of the application of AI technologies for automation such as natural language processing, virtual agents, computer vision, and neural networks. Requirements: Highly proactive, talented, enthusiastic, focused, eye for detail, professional. Keen to learn and to challenge for smarter ways of doing things; a team player proud of their work who wants to share it. Experience of Agile software delivery Business Process mapping and engineering Ability to work on your own initiative to an agreed action plan Strong communication skills - as this role requires a high level of communication, interpersonal and presentation skills Strong problem solving, time management and organisational skills Energetic, enthusiastic with strong attention to detail

Online / WALK-IN for Assistant Professor/Associate Professor (EEE/ISE/CSE/AIML/DS or Data Science/IT/MCom/Math/Chemistry/Physics) Asst/Asso Prof(eligibility: Mtech/ME and above) Lab Instructor(eligibility: Btech) Interview Date: 1st Jul- 15th Jul 2025 Contact/ Share Resume: Email: lalatendu.mohapatra@amceducation.in Mob: 8431768099 Role & responsibilities: 1. Teaching: Deliver lectures and lead classroom discussions. Develop and update course syllabi and materials. Evaluate and assess student performance through assignments, exams, and projects. Provide academic advising and mentorship to students 2. Research: Conduct independent and collaborative research. Publish research findings in peer-reviewed journals and present at academic conferences. Secure research funding and grants. 3. Service: Participate in departmental, college, and university committees. Contribute to curriculum development and program improvement. Engage in community service and outreach activities. 4. Professional Development: Stay updated with advancements in the field. Participate in workshops, seminars, and conferences to enhance teaching and research skills. 5. Other Responsibilities: Maintain office hours for student consultations. Collaborate with colleagues on interdisciplinary projects. Uphold academic integrity and institutional values. Preferred candidate profile: A Ph.D. or M.tech or equivalent terminal degree in the relevant field. Proven teaching experience at the undergraduate or graduate level. Strong record of scholarly research or potential for research excellence. Excellent communication, interpersonal, and organizational skills. Experience with curriculum development and instructional innovation. Ability to mentor students and foster their academic and professional growth. Collaborative and collegial approach to teamwork.

Job Title: AI Engineer Consultant Key Responsibilities: We are seeking a highly skilled and experienced AI Engineer Consultant to join our Business Development (BD) team and provide Subject Matter Expertise (SME) in Artificial Intelligence. The ideal candidate will have at least 7 years of experience in AI development and deployment, along with the ability to bridge technical expertise and business requirements. This role requires an individual who can help shape business solutions by collaborating with cross-functional teams, understanding market needs, and translating them into scalable, technical AI solutions. Consulting Expertise: Provide AI/ML subject matter expertise to the BD team, helping to define and refine business requirements and solutions that align with client needs. Technical Leadership: Lead the development and implementation of AI models, algorithms, and frameworks, ensuring they meet business objectives and technical feasibility. Collaborative Solution Design: Work closely with both technical and non-technical stakeholders to translate business goals into actionable AI solutions. Help refine technical specifications based on client and internal feedback. Client Interaction: Act as a technical advisor during client discussions, helping explain complex AI concepts in a clear, accessible manner. Business Requirements Gathering: Collaborate with the BD team to gather and prioritize business requirements, turning them into scalable AI solutions that can be effectively marketed and deployed. Proposal Support: Provide support in crafting proposals, RFP responses, and project documentation that reflect a deep understanding of AI technologies and their business applications. Qualifications: Experience: At least 7 years of hands-on experience in AI, machine learning, and data science, with a strong portfolio of successful projects in these domains. Technical Skills: Expertise in AI/ML algorithms, programming languages (Python, R, Java, etc.), data analysis tools, and frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Business Acumen: Strong ability to translate complex technical information into clear business requirements and solutions. Experience in client-facing roles is a plus. Problem-Solving: Ability to quickly analyze problems and design practical, cost-effective AI solutions. Communication Skills: Excellent communication skills, both written and verbal. Experience explaining complex AI concepts to non-technical stakeholders and decision-makers. Consulting Experience: Previous experience working in a consulting or advisory role, especially in helping businesses adopt AI-driven solutions. Desirable Skills: Experience with AI applications in industries such as healthcare, finance, or retail. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and deployment of AI solutions in cloud environments. Advanced degree (MS, PhD) in AI, Machine Learning, Data Science, or related fields is a plus. This is an exciting opportunity for a results-driven professional. If you have a passion, we encourage you to apply. Apply Now: Drop your resume on 8308907577 or kmaran@sevenmentor.com . References are highly appreciated!

Consultant Role in Machine Learning (Adobe Products & License Management) Location : Noida, 25A Experience : 4+ years Company : KPMG/PWC or similar Role Overview: As a consultant with expertise in machine learning, you will work closely with customers, particularly in industries that rely heavily on Adobe products and software licensing. The ideal candidate will be responsible for ensuring smooth communication between the client and the company, while also leveraging AI/ML technologies to support their needs. Your role will involve: Customer Interaction & Communication: Serve as the primary point of contact for clients, especially around Adobe products (such as Adobe Creative Cloud, Adobe Experience Manager, etc.). Act as a liaison between the client and the internal teams to ensure clear and effective communication on licensing, support, and product usage. Use excellent communication skills to understand the clients requirements, address queries, and ensure customer satisfaction. Engage in Q&A sessions with clients to clarify any technical or functional ambiguities, ensuring they are well-informed about product capabilities and licensing management. Machine Learning Expertise: Apply machine learning techniques to help clients derive insights from their data (e.g., customer usage patterns, content creation trends). Work on implementing AI models for enhancing Adobe product capabilities, such as automated content recommendations, predictive analytics, or product usage optimization. Translate complex AI concepts and solutions into easy-to-understand terms for clients, ensuring the clients team can understand and adopt solutions. License Management: Manage and optimize software licenses for Adobe products within client organizations, ensuring compliance and cost-effectiveness. Help clients understand how to best allocate and manage Adobe licenses to suit their needs, balancing usage with budget constraints. Analyze and recommend strategies for improving license management workflows using both AI tools and industry best practices. Customer Satisfaction: Be a key player in ensuring the clients overall satisfaction by managing expectations, offering solutions to pain points, and ensuring timely resolution of issues. Use your expertise in AI and machine learning to suggest smart solutions that streamline client processes and improve their Adobe product experiences. Continuously assess client needs and offer proactive suggestions to enhance their use of Adobe products. Skills and Qualifications: Education : Bachelors or Masters degree in Computer Science, AI, Data Science, or related field. Experience : 4+ years of experience in consulting, with a focus on machine learning, AI, or Adobe products. Technical Knowledge : Strong knowledge of Adobe software products (e.g., Adobe Creative Cloud, Adobe Document Cloud). Familiarity with licensing models and management for Adobe products. Practical experience applying machine learning algorithms and AI solutions to real-world business problems. Familiarity with data analysis and automation tools that can improve product use and licensing efficiency. Communication Skills : Exceptional verbal and written communication skills, with an ability to explain complex technical concepts to non-technical stakeholders. Problem-Solving : Strong analytical and problem-solving skills, with the ability to think critically about business needs and customer challenges. Client-Centric : Proven track record in a customer-facing role, with a focus on customer satisfaction and relationship-building. This role would likely be ideal for someone with a strong understanding of both machine learning and customer relations. The key to success would be your ability to translate AI/ML concepts into actionable business insights while ensuring customers feel heard and supported. Would you like more details about any specific area of this role? You said: give this in a job description manner with proper required skill set ChatGPT said: Certainly! Here's the job description tailored to the role youve described: Job Title: Consultant Machine Learning, Adobe Products & License Management Location: Noida, 25A Experience: 4+ Years Job Overview: We are seeking a highly skilled and customer-focused Consultant with expertise in Machine Learning, Adobe Products, and License Management. In this role, you will act as the key point of contact for clients, leveraging your AI/ML knowledge and strong communication skills to provide optimal solutions and ensure customer satisfaction. You will work closely with clients to manage their Adobe products and licenses, while using advanced AI technologies to enhance their experience. Key Responsibilities: Customer Interaction & Communication: Serve as the primary liaison between clients and internal teams for all matters related to Adobe products and licensing. Lead customer calls, meetings, and Q&A sessions to address client queries and ensure clear understanding of Adobe products and license management. Provide expert guidance on Adobe product features, best practices, and licensing options to optimize the client's business needs. Ensure clients requirements are fully understood and translated into actionable solutions. Machine Learning Expertise: Apply machine learning and AI techniques to help clients extract actionable insights from their data and optimize their use of Adobe products. Develop and implement AI models that can enhance Adobe products, such as predictive analytics, automated content recommendations, and personalized solutions. Translate complex AI concepts into clear and simple terms for clients, ensuring effective understanding and buy-in. License Management: Assist clients with managing their Adobe software licenses, ensuring compliance, cost optimization, and efficient resource allocation. Provide recommendations to improve licensing workflows and reduce inefficiencies, leveraging AI tools where applicable. Help clients understand and manage Adobes licensing models to align with their organizational needs. Customer Satisfaction: Ensure the highest level of customer satisfaction by providing timely, effective solutions and consistently exceeding client expectations. Proactively address and resolve client pain points, ensuring that their needs are met while aligning with business objectives. Actively listen to client feedback and adjust strategies to ensure continuous improvement in customer service. Required Skills & Qualifications: Education : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience : Minimum of 4 years of experience in a consulting role, focusing on machine learning, AI, or Adobe products. Proven track record of working with clients to manage software licenses, especially for Adobe products (Creative Cloud, Document Cloud, etc.). Strong experience applying machine learning algorithms to real-world business problems. Technical Skills : Strong understanding of Adobe products (Creative Cloud, Document Cloud, Adobe Experience Manager, etc.). Knowledge of Adobe product licensing models and management best practices. Expertise in machine learning algorithms, AI technologies, and data analytics. Familiarity with automation tools, data pipelines, and analytical platforms that can optimize license management and product usage. Communication Skills : Excellent verbal and written communication skills, with the ability to simplify and explain technical concepts to non-technical stakeholders. Ability to lead discussions and present technical solutions in a client-friendly manner. Problem-Solving & Analytical Skills : Strong analytical thinking with the ability to assess complex situations and provide innovative solutions. Ability to identify patterns and insights from data to improve client workflows and product usage. Customer-Centric Approach : Proven ability to build and maintain strong client relationships, ensuring customer satisfaction and successful project outcomes. Skilled at managing client expectations and delivering results that align with client goals. Preferred Skills (Optional): Knowledge of cloud-based systems and data infrastructure. Experience with enterprise-level product integration. Familiarity with project management tools and methodologies. Why Join Us? Innovative Environment : Work on cutting-edge technologies in machine learning and AI. Career Growth : Opportunity to grow within a leading consulting firm and gain expertise across diverse industries. Client Impact : Play a key role in shaping customer experiences and optimizing their use of Adobe products.