Qualifications and Experience: Exp. : 1+ year Salary : Upto 15LPA Location : Gurgaon Skills : AI, ML, Python, SQL, NOSQL, AWS, GCP, Tensorflow, Database Management, Language R

About the Role: We are seeking a highly skilled and motivated Senior Data Scientist with 56 years of experience to drive the development of intelligent AI systems. This role requires extensive hands-on experience with Large Language Models (LLMs) , strong background in Agentic AI , Machine Learning , and Python programming . You will work on designing autonomous agents, building scalable ML pipelines, and integrating advanced LLM-powered solutions into real-world products. Key Responsibilities: Architect and implement agentic AI systems that use LLMs for autonomous reasoning, planning, and multi-step task execution. Lead the development, fine-tuning, evaluation, and deployment of Large Language Models (LLMs) using frameworks like Hugging Face Transformers, LangChain, LLM orchestration tools, and vector databases. Develop ML models using supervised, unsupervised, and reinforcement learning techniques, and integrate them into production environments. Design and build end-to-end machine learning pipelines, including data ingestion, feature engineering, training, and deployment. Optimize model performance and latency in real-world applications and implement model monitoring and retraining strategies. Collaborate with cross-functional teams including product, engineering, and business to translate AI capabilities into product features. Mentor junior data scientists and contribute to the team's technical excellence and innovation. Required Skills & Experience: Contributions to open-source AI/ML projects or research publications related to LLMs or agent-based systems. Familiarity with LangChain, AutoGPT, CrewAI, or other agent orchestration frameworks. Experience with vector databases (e.g., FAISS, Pinecone) and knowledge of semantic search.Understanding of multi-agent collaboration, goal decomposition, and planning architectures. les, autonomous agents, and task orchestration. Experience with cloud platforms (AWS, GCP, or Azure) and scalable infrastructure for deploying AI models. Exposure to API development, ML model serving, and integration with real-time systems. Excellent communication and collaboration skills in cross-functional environments. Educational Qualification: Bachelor of Technology (B.Tech) in Computer Science, Data Science, Artificial Intelligence, or a related field from a recognized institution. Preferred Qualifications: Contributions to open-source AI/ML projects or research publications related to LLMs or agent-based systems. Familiarity with LangChain, AutoGPT, CrewAI, or other agent orchestration frameworks. Experience with vector databases (e.g., FAISS, Pinecone) and knowledge of semantic search. Understanding of multi-agent collaboration, goal decomposition, and planning architectures.

Greetings from Peoplefy Infosolutions !!! We are hiring for one of our reputed MNC client based in Pune . We are looking for candidates with 7 + years of experience in below skills - Primary skills : Understanding of AI ML in DE Python Data Engineers Database -Big query or Snowflake Interested candidates for above position kindly share your CVs on chitralekha.so@peoplefy.com with below details - Experience : CTC : Expected CTC : Notice Period : Location :

How will you make a difference? We are seeking a collaborative and highly motivated Principal AI Architect to lead our AI team, drive innovation, and enhance customer experiences through impactful artificial intelligence solutions. As a member of the Wabtec IT Data & Analytics (DnA) Team, you will be responsible for: Providing strategic leadership and direction in the development, articulation and implementation, of a comprehensive AI/ML/ Data Transformation Roadmap for Wabtec aligned with the overall business objectives. Working with other AI champions in Wabtec evaluating AI tools/ technologies/ frameworks, champion adoption in different projects and demonstrate value for business and customers. Actively collaborating with various stakeholders to align AI initiatives in Cloud Computing environments (e.g., AWS, Azure, OCI) with business goals. Providing technical oversight on AI projects to drive performance output to meet KPI metrics in Productivity and Quality. Serving as contact and interface with external partners and industry leaders for collaborations in AI/LLM/ Generative AI. Architecting and deploying scalable AI solutions that integrate seamlessly with existing business and IT infrastructure. Design and architect AI as a service, to enable collaboration btw multiple teams in delivering AI solutions Optimizing state-of-the-art algorithms in distributed environments Create clear and concise communications/recommendations for senior leadership review related to AI strategic business plans and initiatives. Staying abreast of advancements in AI, machine learning, and data science to continuously innovate and improve solutions and bring the external best practices for adoption in Wabtec Implementing best practices for AI designing, testing, deployment, and maintenance Diving deep into complex business problems and immerse yourself in Wabtec data & outcomes. Mentoring a team of data scientists, fostering growth and performance. Developing AI governance frameworks with ethical AI practices and ensuring compliance with data protection regulations and ensuring responsible AI development. What do we want to know about you? You must have: The minimum qualifications for this role include: Ph.D., M.S., or Bachelor's degree in Statistics, Machine Learning, Operations Research, Computer Science, Economics, or a related quantitative field 5+ years of experience developing and supporting AI products in a production environment with 12+ years of proven relevant experience 8+ years of experience managing and leading data science teams initiatives at enterprise level Profound knowledge of modern AI and Generative AI technologies Extensive experience in designing, implementing, and maintaining AI systems End-to-end expertise in AI/ML project lifecycle, from conception to large-scale production deployment Proven track record as an Architect with cloud computing environments (e.g., AWS, Azure, OCI) and distributed computing platforms, including containerized deployments using technologies such as Amazon EKS (Elastic Kubernetes Service) Expertise with Hands-On experience into Python, AWS AI tech-stack (Bedrock Services, Foundation models, Textract, Kendra, Knowledge Bases, Guard rails, Agents etc.), ML Flow, Image Processing, NLP/Deep Learning, PyTorch /TensorFlow, LLMs integration with applications. Preferred qualifications for this role include: Proven track record in building and leading high-performance AI teams, with expertise in hiring, coaching, and developing engineering leaders, data scientists, and ML engineers Demonstrated ability to align team vision with strategic business goals, driving impactful outcomes across complex product suites for diverse, global customers Strong stakeholder management skills, adept at influencing and unifying cross-functional teams to achieve successful project outcomes Extensive hands-on experience with enterprise-level Python development, PyData stack, Big Data technologies, and machine learning model deployment at scale Proficiency in cutting-edge AI technologies, including generative AI, open-source frameworks, and third-party solutions (e.g., OpenAI) Mastery of data science infrastructure and tools, including code versioning (Git), containerization (Docker), and modern AI/ML tech stacks Preferred: AWS with AWS AI services. We would love it if you had: Fluent with experimental design and the ability to identify, compute and validate the appropriate metrics to measure success Demonstrated success working in a highly collaborative technical environment (e.g., code sharing, using revision control, contributing to team discussions/workshops, and collaborative documentation) Passion and aptitude for turning complex business problems into concrete hypotheses that can be answered through rigorous data analysis and experimentation Deep expertise in analytical storytelling and stellar communications skills Demonstrated success mentoring junior teammates & helping develop peers What will your typical day look like? Stakeholder Engagement: Collaborate with our Internal stakeholders to understand their needs, update on a specific project progress, and align our AI initiatives with business goals. Use Generative AI and machine learning techniques and build LLM Models & fine-tuning, Image processing, NLP, model integration with new/existing applications, and improve model performance/accuracy along with cost effective solutions. Support AI Team: Guide and mentor the AI team, resolving technical issues and provide suggestions. Reporting & Strategy: Generate and present reports to senior leadership, develop strategic insights, and stay updated on industry trends. Building AI roadmap for Wabtec and discussion with senior leadership Training, Development & Compliance: Organize training sessions, manage resources efficiently, ensure data accuracy, security, and compliance with best practices.

Job Summary: We are seeking an experienced and detail-oriented Technical Project Manager , with strong interpersonal skills to lead and manage Data, Business Intelligence (BI), and Analytics initiatives across single and multiple client engagements. The ideal candidate will have a solid background in data project delivery, knowledge of modern cloud platforms, and familiarity with tools like Snowflake , Tableau , and Power BI . Understanding of AI and machine learning projects is a strong plus. This role requires strong communication and leadership skills, with the ability to translate complex technical requirements into actionable plans and ensure successful, timely, and high-quality delivery with attention to details. Key Responsibilities: Project & Program Delivery Manage end-to-end, the full lifecycle of data engineering and analytics, projects including data platform migrations, dashboard/report development, and advanced analytics initiatives. Define project scope, timelines, milestones, resource needs, and deliverables in alignment with stakeholder objectives. Manage budgets, resource allocation, and risk mitigation strategies to ensure successful program delivery. Use Agile, Scrum, or hybrid methodologies to ensure iterative delivery and continuous improvement. Monitor performance, track KPIs, and adjust plans to maintain scope, schedule, and quality. Excellence in execution and ensure client satisfaction Client & Stakeholder Engagement Serve as the primary point of contact for clients and internal teams across all data initiatives. Translate business needs into actionable technical requirements and facilitate alignment across teams. Conduct regular status meetings, monthly and quarterly reviews, executive updates, and retrospectives. Manage Large teams Ability to manage up to 50+ resources working on different projects for different clients. Work with practice and talent acquisition teams for resourcing needs Manage P & L Manage allocation, gross margin, utilization etc effectively Team Coordination Lead and coordinate cross-functional teams including data engineers, BI developers, analysts, and QA testers. Ensure appropriate allocation of resources across concurrent projects and clients. Foster collaboration, accountability, and a results-oriented team culture. Data, AI and BI Technology Oversight Manage project delivery using modern cloud data platforms Oversee BI development using Tableau and/or Power BI , ensuring dashboards meet user needs and follow visualization best practices. Conduct UATs Manage initiatives involving ETL/ELT processes, data modeling, and real-time analytics pipelines. Ensure compatibility with data governance, security, and privacy requirements. Manage AL ML projects Data & Cloud Understanding Oversee delivery of solutions involving cloud data platforms (e.g., Azure, AWS, GCP), data lakes, and modern data stacks. Support planning for data migrations, ETL processes, data modeling, and analytics pipelines. Be conversant in tools such as Power BI, Tableau, Snowflake, Databricks, Azure Synapse, or BigQuery. Risk, Quality & Governance Identify and mitigate risks related to data quality, project timelines, and resource availability. Ensure adherence to governance, compliance, and data privacy standards (e.g., GDPR, HIPAA). Maintain thorough project documentation including charters, RACI matrices, RAID logs, and retrospectives. Qualifications: Bachelor’s degree in Computer Science, Information Systems, Business, or a related field. Certifications (Preferred): PMP, PRINCE2, or Certified ScrumMaster (CSM) Cloud certifications (e.g., AWS Cloud Practitioner , Azure Fundamentals , Google Cloud Certified ) BI/analytics certifications (e.g., Tableau Desktop Specialist , Power BI Data Analyst Associate , DA-100 ) Must Have Skills: Strong communication skills Strong interpersonal Ability to work collaboratively Excellent Organizing skills Stakeholder Management Customer Management People Management Contract Management Risk & Compliance Management C-suite reporting Team Management Resourcing Experience using tools like JIRA, MS Plan etc. Desirable Skills: 15 years of IT experience with 8+ years of proven project management experience, in delivering data, AI Ml, BI / analytics-focused environments. Experience delivering projects with cloud platforms (e.g., Azure , AWS , GCP ) and data platforms like Snowflake . Proficiency in managing BI projects preferably Tableau and/or Power BI . Knowledge or hands on experience on legacy tools is a plus. Solid understanding of the data lifecycle including ingestion, transformation, visualization, and reporting. Comfortable using PM tools like Jira, Azure DevOps, Monday.com, or Smartsheet. Experience managing projects involving data governance , metadata management , or master data management (MDM) .

Loction :Mumbai Job Description: Looking for Candidates with 8 to 10 years of experience Hands on experience of implementing data pipelines using traditional DWH, Big data & Cloud ecosystem Good exposure to data architecture design, cost and size estimation Good understanding of handling Realtime/streaming pipelines Have experience of Data Quality and Data Governance Have experience of handling & interacting clients and managing vendors Having knowledge on AI/ML, GenAI is a plus Exposure of managing and leading teams

8-12 years experience in a statistical and/or data science role Proven experience as a Data Scientist or similar role Strong organizational and leadership skills Degree in Computer Science, Data Science, Mathematics, or similar field Deep knowledge of machine learning, statistics, optimization or related field Experience in Linear and non-Linear Regression models including Multiple and Multivariate Experience in Classification models including Ensemble techniques Experience in Unsupervised models including K-Means, DBSCAN, LOF Rich Experience in NLP techniques Experience in Deep Learning techniques like CNN, RNN, etc Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) Excellent written and verbal communication skills along with strong desire to work in cross functional teams Attitude to thrive in a fun, fast-paced start-up like environment Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc Optional: programming in C, C++, Java, .Net

About The Role We are looking to onboard a seasoned TA Analytics Leader & "Talent@Scale" Program Charter Lead to join us. Key Responsibilities 1. Interface with senior leadership, delivery leaders and functional leaders across Biz Ops organization and other support functions, sharing action-oriented insights specific to Talent Acquisition and Talent Supply Chain that are key in enabling them to achieve their outcomes. 2. Work along with the Biz Ops Insights Global Head in designing & implementing programs and creating assets specific to data and insights through deep analysis, creation of action-oriented dashboards, application of AI & ML thoughts and proactive diagnostics. 3. Partner with the TA Global Head and the extended TA leadership team in assisting them achieve their objectives by providing right insights at the right time in an understandable way, thereby helping them improve Quality of Hire, Candidate Experience and optimize Cost of Hire. 4. Mentor and create a team of qualified and highly motivated associates , having Technology (Power Platforms, Python, SQL, Data warehousing), Functional (TA Merics, TA Processes and Data Frameworks) and Interpersonal Skills. 5. Individually be a self-motivated person bringing in an outside in perspective and industry happenings around Talent Supply Chain & Talent Acquisition and constantly learning and upgrading oneself. ?Key Responsibilities 1.TA Analytics: Visualize, Develop and Maintain right data models to analyse trends and patterns in Talent Acquisition and Talent Supply Chain data Play a key role in Success Factors enhancements and maintenance specific to Talent Acquisition reporting and insights. Effectively design and implement metrics and visualizations to report key insights and data stories. Create a self-service reporting culture by automating Talent Acquisition metrics and reports, moving them to A3 and bringing in predictive and prescriptive elements into the reports. Work with Talent Acquisition and business stakeholders in identifying relevant analytics projects and AI enabling the processes. Monitor and take accountability for Talent Acquisition reports data quality, security and accuracy data shared with stakeholders. Effectively partner and maintain a good working relationship with TA, business and other enablement functions stakeholders across the organization. Bring thought leadership to visualize and prepare leadership presentations around Talent Acquisition and Talent Supply Chain data sets and outcomes. 2.Talent@Scale Program Drive and take responsibility for timely preparation of the fortnightly Talent@Scale reporting pack. Bring together key stakeholders across Biz Ops functions to get a ground level status on the outcomes achieved. Constantly keep improving the report focus and coverage and make it more relevant to the leadership stakeholders and aligned to the market happening. Take accountability for the Talent Acquisition specific data shared in the reporting pack. Have governance with TA Global Head and Integrated Fulfilment Partners to action out feedback and suggestions received during the fortnightly cadence call. Sustain the momentum of the exercise and make the fortnightly meetings more eventful and action oriented. Q?ualifications 20+ years of experience in working on HR, Talent Supply Chain and Talent Acquisition areas and handling datasets and metrics specific to these functions. Key Technical & Domain Skills required: Data Analysis, AI ML, MS Power platforms, HR / Talent Supply Chain / Talent Acquisition Domain & Reports SuccessFactors, MS Excel / PPT. Key Soft Skills required: Effective Communication, Managing Priorities, Advising & Coaching, Analytical & Data Driven Thinking, Commercial & Cost Awareness, Active Listening, Action Orientation Teamwork. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the > Applications from people with disabilities are explicitly welcome.

About The Role Mandatory SkillGen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred SkillAWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming LanguagesProficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine LearningStrong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data ScienceExperience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data TechnologiesFamiliarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud PlatformsExperience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP)Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer VisionExperience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-SolvingStrong analytical and problem-solving skills with the ability to think critically and creatively. CommunicationExcellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team CollaborationAbility to work effectively in a collaborative team environment and contribute to team success. 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.

Job Description: We are looking for motivated and detail-oriented Annotation Analysts who are fresh graduates eager to start their careers in the AI and data annotation field. As an Annotation Analyst, you will play a crucial role in training machine learning models by accurately labeling and annotating data such as images, text, audio, or video. Responsibilities: Annotate and label datasets accurately using specialized tools and guidelines Review and correct existing annotations to ensure data quality Collaborate with machine learning engineers and data scientists to understand annotation requirements Follow detailed instructions and apply judgment to edge cases and ambiguous data Meet project deadlines and maintain high levels of accuracy and efficiency Provide feedback to improve annotation guidelines and workflows Participate in training sessions to stay updated on evolving tools and techniques Requirements: BA, BBA, B.Com, B.Tech, BCA, and other Management streams Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with data entry or annotation tools Individuals who are quick learners and open to feedback Freshers are eligible to apply for the role Good communication skills and the ability to work independently or in a team Familiarity with AI/ML concepts is a bonus Perks and Benefits Salary: 2.50 LPA Medicare Benefits Both side cab facilities.

Responsibilities: Annotate and label datasets accurately using specialized tools and guidelines Review and correct existing annotations to ensure data quality Collaborate with machine learning engineers and data scientists to understand annotation requirements Follow detailed instructions and apply judgment to edge cases and ambiguous data Meet project deadlines and maintain high levels of accuracy and efficiency Provide feedback to improve annotation guidelines and workflows Participate in training sessions to stay updated on evolving tools and techniques Requirements: BA, BBA, B.Com, B.Tech, BCA, and other Management streams Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with data entry or annotation tools Freshers are eligible to apply for the role Good communication skills and the ability to work independently or in a team Experience with data labeling tools (e.g., Labelbox, CVAT, Scale AI, Amazon SageMaker Ground Truth) is a plus Familiarity with AI/ML concepts is a bonus Perks and Benefits Salary: 250000 - 300000 Medicare Benefits Both side cab facilities.

Requirement Role: ML Engineer/Data Scientist Experience: 3 to 15 Years Job Description: Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability.. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning.

If interested, please apply on below link - https://forms.office.com/r/9tU308i0Cw Job description We are looking for a dynamic and driven Azure Cloud client success lead to lead client engagements and drive cloud adoption across the domestic Indian market . The ideal candidate will have a strong grasp of Azures cloud offerings and a proven track record of delivering cloud-led digital transformation deals across industries. Job Requirement (SM level) Key Responsibilities: • Lead end-to-end sales lifecycle for Azure cloud solutions from prospecting to closure. • Position Azure IaaS, PaaS, and SaaS offerings aligned with customer needs, digital strategy, and business goals. • Build and manage a pipeline of opportunities across industries such as BFSI, Manufacturing, Healthcare, IT/ITES, and Retail. • Engage directly with CXOs, IT Heads, Cloud Architects , and procurement teams to drive solution-based selling. Partner with Microsoft, and Azure ecosystem partners to deliver scalable and value-driven cloud solutions. Work closely with pre-sales, solutioning, and delivery teams to develop customized proposals and responses to RFPs. • Keep updated with the latest in the Azure portfolio, licensing changes, and GTM strategies . • Achieve and exceed monthly/quarterly revenue targets and other KPIs. Required Skills & Experience: • 12–14 years of IT sales experience with at least 6+ years in Azure cloud sales targeting Indian clients. • Deep understanding of Azure’s cloud offerings : VMs, App Services, Azure AD, Security, DevOps, Data Services, etc. • Proven experience in selling to enterprise and mid-market clients . • Strong understanding of Microsoft CSP/LSP model and partner-driven sales motions. • Excellent client-facing, communication, and negotiation skills. • Strong IaaS, PaaS, SaaS, AIL/ML Copilit understanding Preferred Qualifications: • Bachelor’s degree in Engineering / Technology / Business; MBA is a preferred. • Microsoft Azure certifications (e.g., AZ-900, Microsoft Certified: Azure Sales/Pre-sales) preferred. • Familiarity with Microsoft’s broader cloud stack: M365 and Power Platform

Role: ML Engineer Experience: 3 to 15 Years Chennai location must or relocation also fine- Hybrid mode We have good budget Job Description: Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability.. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning.

Project Role : Scrum Master Project Role Description : Acts as an enabler for the effective functioning of a software development team using Agile methodologies. Coaches and mentors the Scrum Team(s), removing barriers to successful implementation and enabling a continued focus on the task at hand. Facilitates scrum and agile ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives. Identifies and reports progress via appropriate metrics. Must have skills : Adobe Workfront Work Management Software Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Scrum Master, you will act as an enabler for the effective functioning of a software development team using Agile methodologies. Your typical day will involve coaching and mentoring the Scrum Team, facilitating various Agile ceremonies, and ensuring that the team remains focused on their tasks. You will work closely with team members to identify and remove any barriers that may hinder their progress, while also tracking and reporting on the team's performance through appropriate metrics. Your role is crucial in fostering a collaborative environment that promotes continuous improvement and high-quality deliverables. You must have knowledge on AWS Basics, Python, Adobe WF/AEM Basics, Web Technologies Basics, ML/AI/LLM Basics. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate communication between team members and stakeholders to ensure alignment on project goals.- Encourage a culture of continuous improvement by implementing feedback mechanisms and promoting best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Adobe Workfront Work Management Software.- Strong understanding of Agile methodologies and frameworks.- Experience in coaching and mentoring teams in a Scrum environment.- Ability to facilitate meetings and discussions effectively.- Proficient in using metrics to track team performance and progress. Additional Information:- The candidate should have minimum 7.5 years of experience in Adobe Workfront Work Management Software.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Experience: 10+ years overall | Minimum 10 full-cycle AI/ML project implementations, including GenAI experience Role Summary: We are seeking a AI Architect to lead strategic AI transformation initiatives within the retail domain. This role demands deep hands-on experience in AI, Machine Learning (ML), and Generative AI (GenAI), along with the ability to engage directly with C-level stakeholders, align technical delivery with business objectives, and drive enterprise-wide adoption of advanced AI solutions.The ideal candidate is a techno-strategic leader who can take AI/ML/GenAI projects from ideation to productionbuilding architectures, leading cross-functional teams, and ensuring regulatory and operational alignment in retail environments.Key Responsibilities:Consulting & Business Alignment Partner with senior business and IT leadership, including CIOs, CDOs, and COOs, to identify high-impact use cases across e-commerce, retail operations, supply chain, and customer experience. Translate complex retail challenges into technically feasible and scalable AI/ML/GenAI solutions. Create strategic roadmaps, capability assessments, and PoV/PoC execution plans that align with business KPIs and regulatory needs. Solution Architecture & Delivery Leadership Design and lead delivery of AI/ML/GenAI pipelines covering data ingestion, model training, validation, deployment, and monitoring. Build and scale GenAI-based solutions like LLM-driven chatbots, intelligent product recommendation engines, RAG pipelines, summarization tools, and virtual assistants. Architect cloud-native AI platforms using AWS (SageMaker, Bedrock), Azure (ML, OpenAI), or GCP (Vertex AI, BigQuery, LangChain). Define and implement MLOps and LLMOps frameworks for versioning, retraining, CI/CD, and production observability. Ensure adherence to Responsible AI principles, including explainability, bias mitigation, auditability, and compliance with retail regulations (GDPR, CCPA, SOC2, etc.). Engineering & Integration Work closely with data engineering teams to acquire, transform, and pipeline data from retail systems, customer databases, inventory management systems, and real-time feeds. Design architecture for data lakes, feature stores, and vector databases supporting AI and GenAI use cases. Enable seamless integration of AI capabilities into enterprise workflows, customer platforms, and decision engines via APIs and microservices. Required Skills & Experience: 10+ years of experience in AI/ML, data engineering, and cloud architecture. Minimum of 5 end-to-end AI/ML project implementations from use case discovery through to productionization. Proven expertise in: (Any One) AI/ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch GenAI/LLM platforms: OpenAI, Cohere, Mistral, LangChain, Hugging Face, vector DBs (Pinecone, FAISS, Chroma) Cloud platforms: AWS, Azure, GCP including AI/ML & GenAI native services MLOps/LLMOps tools: MLflow, Kubeflow, SageMaker Pipelines, Vertex AI Pipelines Strong experience with data security, governance, model risk management, and AI compliance frameworks relevant to retail. Ability to lead large cross-functional teams and engage both technical teams and senior stakeholders.

Role Overview: We are seeking a dynamic Senior Engineering Manager who will play a pivotal role in leading and growing our engineering teams. This individual will oversee the delivery of high-impact systems and products, from concept to completion, while managing a team of engineers and collaborating with cross-functional teams. The ideal candidate will bring a deep understanding of system design, strong technical expertise in modern technologies, and the ability to inspire, mentor, and lead a diverse engineering team. Experience with Node.js, React.js, TypeScript, Cloud platforms, and AI/ML technologies is highly desirable. Key Responsibilities: Team Leadership and People Management: Lead, mentor, and inspire a team of engineers, fostering a culture of innovation, collaboration, and continuous learning. Manage the career growth, performance, and development of team members. Foster a high-performance, agile, and inclusive environment. Provide guidance on technical and operational challenges to engineers, helping them grow both technically and professionally. Delivery Management: Oversee the end-to-end delivery of engineering projects, ensuring timely and high-quality releases. Collaborate with product, design, and other engineering teams to align on project goals, timelines, and requirements. Ensure that projects are executed in line with agile methodologies, balancing speed with technical excellence. Drive continuous improvement in delivery processes, monitoring key metrics, and mitigating risks. System Design and Architecture: Lead the design and architecture of scalable, reliable, and high-performance systems. Collaborate with other senior technical leaders to establish best practices and ensure that system design meets business needs and technical requirements. Ensure that systems are designed with a focus on maintainability, scalability, and security. Technical Expertise: Provide hands-on technical leadership in areas such as Node.js, React.js, TypeScript, Cloud technologies (AWS, Azure, GCP), and AI/ML. Ensure that the engineering team is aligned with the latest technology trends, tools, and practices. Assist in solving complex technical challenges and drive technical decision-making. Collaboration and Stakeholder Management: Collaborate closely with product managers, designers, and other stakeholders to ensure that engineering efforts align with the companys strategic objectives. Communicate engineering progress, challenges, and risks to senior leadership and stakeholders. Qualifications: Experience: 7+ years of experience in software engineering, with at least 3+ years in an engineering management or leadership role. Proven experience in delivering complex systems and projects in fast-paced, agile environments. Strong experience with system design and architecture for scalable, cloud-based solutions. Technical Skills: Proficiency in Node.js, React.js, TypeScript, and modern JavaScript frameworks. Experience with cloud platforms (AWS, Azure, GCP) and deploying scalable applications. Familiarity with AI/ML technologies and how they integrate with cloud services. Strong understanding of software engineering best practices, including code reviews, testing, CI/CD pipelines, and version control. People Skills: Experience managing and mentoring engineering teams. Strong interpersonal and communication skills with the ability to engage with technical and non-technical stakeholders. Ability to lead by example and motivate teams toward achieving engineering excellence.

Job Title: Full Stack Developer Generative AI Range: 5-10 Years Location: Noida Job Summary We are seeking a Senior Full-Stack Developer to join our Architecture Practice at Xceedance. In this role, you will design and develop AI-powered applications using Python, .NET Core, Angular, and Azure. You will work on integrating AI models, building scalable cloud-native systems, and leveraging tools like GitHub Copilot, Azure Foundry, Agentic frameworks to accelerate development.This is a hands-on role at the intersection of full-stack engineering and AI innovation, including agentic AI, AI-assisted SDLC, and other emerging technologies. Key Responsibilities Full-Stack Development Build scalable backend services using Python and .NET Core (Web APIs, Entity Framework). Develop responsive frontend applications using Angular (13+) and Stream lit for rapid AI tool prototyping. Integrate AI/ML and LLM models into end-to-end application workflows. AI-Driven SDLC Use AI coding assistants like GitHub Copilot or Code Whisperer to enhance development speed and code quality. Automate testing, code analysis, and deployment using CI/CD pipelines and AI tools. Cloud Deployment Deploy and manage applications on Azure (App Services, Functions, Azure SQL, AI Studio). Implement microservices and event-driven architectures in collaboration with solution architects. Collaboration & Leadership Mentor junior developers on AI/ML integration and modern development practices. Contribute to architectural decisions and technical strategy. Required Skills & Qualifications 5-8 years of experience in web-based application development. Mandatory 5+ years of full-stack development experience with Python and .NET Core. 3+ years of frontend development using Angular, TypeScript, and RxJS. Hands-on experience integrating AI/ML models (e.g., scikit-learn, PyTorch) into production applications. Proficiency in Azure cloud services (App Services, Functions, Azure SQL). Preferred Experience with AI coding tools like GitHub Copilot or CodeWhisperer. Familiarity with Streamlit for AI/ML UI prototyping. Knowledge of Azure Machine Learning, LLM fine-tuning (e.g., GPT, Claude). DevOps skills: CI/CD, Docker, Infrastructure as Code (IaC). Education and Experience Bachelors degree in computer science, Engineering, or a related field (or equivalent practical experience). 58 years of hands-on development experience, including 2+ years in AI/ML projects. Portfolio or GitHub showcasing work in Python, .NET, Angular, and AI/ML (preferred).

At GreenStitch , we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives. The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs. You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitchs mission, values, and ethical standards. What Youll Do: AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency. Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges. Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities. Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements , rapidly prototype solutions, and iterate on ideas for continuous improvement . Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact , ensuring production readiness. Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions . Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals. Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders. What Youll Bring: Education: Bachelors/Masters degree in Data Science, Computer Science, AI, or a related field . Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning . Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks ( TensorFlow, PyTorch ), and cloud platforms ( Azure, AWS, GCP ). Software Development: Experience in Python, Java , or similar languages, and familiarity with MLOps tools . Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach. Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications. Collaboration & Communication: Strong ability to work with cross-functional teams , communicate complex ideas, and drive AI adoption. Why GreenStitch GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will: Work on high-impact AI projects that contribute to sustainability and decarbonisation. Be part of a dynamic and collaborative team committed to making a difference. Enjoy a flexible, hybrid work model that supports professional growth and work-life balance. Receive competitive compensation and benefits , including healthcare, parental leave, and learning opportunities .

End-to-End Product Design: Own the design lifecycle for complex featuresfrom research and ideationthrough to prototyping, high-fidelity UI, developer handoff, and qualityassurance. User Research Persona Development: Conduct stakeholder interviews, contextual inquiry, usability studies, journeymapping, and persona building for diverse enterprise user roles (developers,analysts, business users, etc.). Wireframing Prototyping: Translate product requirements into user flows, wireframes, interactiveprototypes, and design system components in Figma (or similar tools). Design System Leadership: Develop and evolve a scalable design system covering atomic/componentstructures, documentation, accessibility, and theming (multi-brand, light/darkmodes, etc.). Collaboration Stakeholder Management: Partner with Product Managers, Engineers, Data Scientists, and QA to ensureseamless implementation, resolving gaps between UX vision and technicalfeasibility. AI/ML Workflow Visualization: Design advanced interfaces for AI agent orchestration, workflow builders(drag-and [1] drop,node/graph UI), model monitoring, data visualization, and resultexplainability. Accessibility Compliance: Champion accessibility best practices (WCAG 2.1+, keyboard navigation, ARIA),ensuring products are usable by all users, including those with disabilities. Rapid Prototyping MVP Launches: Lead rapid design iterations for MVP launches, gather and incorporate userfeedback, and iterate quickly based on analytics and usage patterns. Usability Testing Continuous Improvement: Plan, conduct, and analyze remote and in-person usability tests; drivecontinuous product and UX improvements using research and data. Mentoring Team Growth: Mentor junior and mid-level designers, participate in hiring, and help nurturea high-performance design culture. Required Skills Qualifications Experience: o 9+ years in UI/UX/Product Design, with at least 3 years in enterpriseSaaS, workflow, or data/AI product environments. o Demonstrated leadership in large-scale product launches and/or design systemimplementation. Portfolio: o Strong portfolio showcasing complex B2B, SaaS, AI/ML, or workflow automationproducts. o Evidence of solving highly technical problems through user-centered design. Design Tools: o Mastery of Figma, Adobe Creative Suite, Sketch, prototyping, and usabilitytesting tools (e.g., Maze, UsabilityHub, Lookback.io). Methodologies: o Deep understanding of design thinking, user research, informationarchitecture, interaction design, and accessibility. Technical Understanding: o Familiarity with front-end technologies (HTML/CSS, design tokens, componentlibraries). o Experience designing for complex state management, data visualization, andcollaborative multi-user environments. Soft Skills: o Excellent communication, stakeholder management, workshop facilitation, andcross-functional collaboration. Bonus Points For Experience in AI/ML platforms, agent orchestration tools, or no-code/low-codeproducts. Building or evolving white-label design systems. Experience with internationalization / localization , SOC2/GDPR compliance, andhigh [1] scalemulti-tenant SaaS. Exposure to agile teams, rapid prototyping, and A/B experimentation. WhatYoull Get The chance to help define and build market-leading AI/ML platforms from theground up. A collaborative environment with passionate experts in AI, data science, andproduct engineering. Opportunities for professional growth, conference participation, andmentoring. Competitive salary and benefits, plus the freedom to influence productdirection at a high level.

Job Descriptio n: Must have experience in AI Enterprises Architecture. Hands on experience in hybrid cloud platforms ( AWS, Azure, GCP). Should have experience in AI Infrastructure Architect, Design, Development, Deployment or Implementation. Expertise in AI and machine learning (ML) technologies with automation tools such as Terraform, Ansible, and Kubernetes for AI environments. Good knowledge of high-performance computing (HPC) for AI workloads, including GPU/TPU architectures. Preferable Candidate Profile: Looking for 7+ years of experience in AI Enterprises Architecture/AI Infrastructure Solution Architect preferable from Service Based Company with exposure of multiple industries projects.

We are Hiring Freshers, who are passionate to build their careers in Artificial Intelligence/Machine Learning/Data Science Eligibility : All PG & UG graduates can apply for interview AI/Machine Learning/Data Science - Freshers Bulk Hiring Required Candidate profile BCA /BSC/B.E/ B.tech / M.tech (IT/CS)/ MCA Freshers Artificial Intelligence/Machine Learning/Data Science - Freshers Bulk Hiring Contact HR : 8904348261 for interview

Opportunity: We are seeking a highly skilled and experienced AI Infrastructure Engineer (or MLOps Engineer) to design, build, and maintain the robust and scalable AI/ML platforms that power our cutting-edge asset allocation strategies. In this critical role, you will be instrumental in enabling our AI Researchers and Quantitative Developers to efficiently develop, deploy, and monitor machine learning models in a high-performance, secure, and regulated financial environment. You will bridge the gap between research and production, ensuring our AI initiatives run smoothly and effectively. Responsibilities: Platform Design & Development: Architect, implement, and maintain the end-to-end AI/ML infrastructure, including data pipelines, feature stores, model training environments, inference serving platforms, and monitoring systems. Environment Setup & Management: Configure and optimize AI/ML development and production environments, ensuring access to necessary compute resources (CPUs, GPUs), software libraries, and data. MLOps Best Practices: Implement and advocate for MLOps best practices, including version control for models and data, automated testing, continuous integration/continuous deployment (CI/CD) pipelines for ML models, and robust model monitoring. Resource Optimization: Manage and optimize cloud computing resources (AWS, Azure, GCP, or on-premise) for cost-efficiency and performance, specifically for AI/ML workloads. Data Management: Collaborate with data engineers to ensure seamless ingestion, storage, and accessibility of high-quality financial and alternative datasets for AI/ML research and production. Tooling & Automation: Select, implement, and integrate various MLOps tools and platforms (e.g., Kubeflow, MLflow, Sagemaker, DataRobot, Vertex AI, Airflow, Jenkins, GitLab CI/CD) to streamline the ML lifecycle. Security & Compliance: Ensure that all AI/ML infrastructure and processes adhere to strict financial industry security standards, regulatory compliance, and data governance policies. Troubleshooting & Support: Provide expert support and troubleshooting for AI/ML infrastructure issues, resolving bottlenecks and ensuring system stability. Collaboration: Work closely with AI Researchers, Data Scientists, Software Engineers, and DevOps teams to translate research prototypes into scalable production systems. Documentation: Create and maintain comprehensive documentation for all AI/ML infrastructure components, processes, and best practices. Qualifications: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related quantitative field. Experience: 3+ years of experience in a dedicated MLOps, AI Infrastructure, DevOps, or Site Reliability Engineering role, preferably in the financial services industry. Proven experience in designing, building, and maintaining scalable data and AI/ML pipelines and platforms. Strong proficiency in cloud platforms (AWS, Azure, GCP) including services relevant to AI/ML (e.g., EC2, S3, Sagemaker, Lambda, Azure ML, Google AI Platform). Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes). Solid understanding of CI/CD principles and tools (Jenkins, GitLab CI/CD, CircleCI, Azure DevOps). Proficiency in scripting languages like Python (preferred), Bash, or similar. Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, Ansible). Familiarity with distributed computing frameworks (e.g., Spark, Dask) is a plus. Understanding of machine learning concepts and lifecycle, even if not directly developing models. Technical Skills: Deep knowledge of Linux/Unix operating systems. Strong understanding of networking, security, and database concepts. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Familiarity with data warehousing and data lake concepts. Preferred candidate profile Exceptional problem-solving and debugging skills. Proactive and self-driven with a strong sense of ownership. Excellent communication and interpersonal skills, able to collaborate effectively with diverse teams. Ability to prioritize and manage multiple tasks in a fast-paced environment. A keen interest in applying technology to solve complex financial problems.

Role & responsibilities Mandatory Skill: Python, AI/ML, NLP Programming Languages: Python is particularly popular due to its extensive libraries for AI and machine learning .Proficiency in any languages such as Python, Java, R, C++, and JavaScript is essential. Machine Learning and Deep Learning: A strong foundation in machine learning algorithms (e.g., linear regression, decision trees) and deep learning techniques (e.g., neural networks) is crucial Natural Language Processing (NLP): Skills in NLP techniques like text classification, sentiment analysis, and language modeling are vital for developing chatbots and virtual assistants Data Analysis and Visualization: Ability to analyze and visualize data using tools like Pandas etc AI Frameworks and Libraries: Familiarity with frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn . Work Location: Chennai/Hyderabad/Pune/Trivandrum/Bangalore Interested candidate share me your updated resume in recruiter.wtr26@walkingtree.in

Client : Accenture Level : Manager/ Senior Manager Project Role : AI / ML Architect Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : AI/ML, NLP, LLM, GEN AI Experience : 12- 20 years Educational Qualification : 15 years full time education Summary: As an AI / ML Architect, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and their integration. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions.