496 Genai Jobs - Page 19

We need hands-on experience with real-time projects and exposure to use cases like Text2SQL, chat applications, and advanced RAG techniques involving LLM models. And understanding of UI. Job Description Design and develop cutting-edge AI solutions that address business challenges. Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. Research and stay up to date with the latest AI and ML technologies and best practices. Mentor and provide guidance to junior AI developers on the team. Conduct code reviews and ensure code quality, scalability, and performance of AI applications. Collaborate with data scientists and engineers to preprocess and prepare data for AI models. Evaluate and select appropriate AI and ML algorithms for specific tasks. Develop and deploy AI models in a production environment and monitor their performance. Ensure data privacy and security measures are implemented in AI solutions.

Roles and Responsibilities : Must have skills: Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALLE, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes Good to have skills: PyTorch, TensorFlow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions Experience: Minimum 6-12+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development. Educational Qualification: Bachelor's or Master’s in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute. Job Summary: Accenture AI is seeking a talented and motivated Generative AI Data Scientist Analyst to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop innovative solutions and enhance AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs. Roles & Responsibilities: Collaboration: Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions. Model Deployment: Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud). API Development: Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for integration into client systems and applications. Client Collaboration: Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs. Generative AI Model Integration: Integrate generative AI models into existing workflows, applications, and platforms via APIs. Performance Optimization: Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences. Data Pipeline Development: Build and maintain data pipelines to support real-time or batch processing for generative AI models. Security and Compliance: Implement security best practices and ensure APIs comply with data privacy and regulatory standards. Documentation: Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides. Testing and Monitoring: Develop automated testing frameworks and monitoring systems to ensure API reliability and performance. Stay Updated: Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients. Professional & Technical Skills: Strong proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Expertise in API Development and deployment, with hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). Ability to build and optimize data pipelines for generative AI models. Knowledge of security best practices and ensuring compliance with regulatory standards. Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions. Excellent communication skills, capable of conveying complex technical concepts to diverse audiences. Additional Information: Experience with large-scale data processing and expertise in NLP or computer vision. Contributions to open-source AI/ML projects. Experience with cloud integrations, big data technologies, and performance optimization. Familiarity with security standards and regulatory compliance in AI solutions

About Everest Group Everest Group is a research firm focused exclusively on IT, business process, and engineering services this specialization results in a depth of expertise that our clients find invaluable when making critical, strategic decisions related to their use and delivery of sourcing services. The Global 1000 the largest and most complex companies of the world use our services to guide their journeys to achieve heightened operational and financial performance, accelerated value delivery, and high-impact business outcomes. Founded in 1991, we serve clients around the world. For more information, visit www.everestgrp.com Everest Group is with you on the journey. We are committed to empowering team members to develop their potential, share their authentic selves, and inclusively engage. This means we continually celebrate the diverse journeys different individuals cultivate. We hire great people from a wide variety of backgrounds, not just because it is the right thing to do, but because it makes our company stronger. If you share our values and enthusiasm for solving challenges, you will find a home at Everest Group. Job overview As part of the Business Operations & Technology (BOT) team, the Developer will lead the design, development, and implementation of automation and AI-based solutions, including those powered by Large Language Models (LLMs). The ideal candidate should have a strong background in Python, gen AI, and business process automation, and will work closely with cross-functional teams to drive digital transformation across the organization. Key responsibilities Collaborate with cross-functional teams to understand business needs and identify automation opportunities Develop and deploy custom GPTs and other generative AI tools, including agents, to support internal productivity use cases Fine-tune Large Language Models (LLMs) and optimize prompt engineering strategies for specific business applications Design and implement automation workflows for tasks such as Excel reporting, PowerPoint creation, etc. Integrate internal tools with third-party platforms (e.g., Salesforce, SharePoint, Zoho, ADP, OneDrive) using APIs or automation frameworks Maintain and monitor deployed solutions, ensuring high availability, scalability, and user adoption Stay current with advancements in AI and automation technologies to continuously improve Everest Groups internal tech landscape Skills & activities Proficiency in Python for scripting and automation tasks Strong understanding of LLMs, prompt engineering, and the OpenAI ecosystem including API connections Experience with VBA for Excel automation and macros Working knowledge of REST APIs and how to integrate with other systems like Salesforce, SharePoint, Zoho, ADP, and OneDrive Familiarity with SQL and cloud-based platforms is a plus Experience with developing AI agents is a plus Experience with Jira and custom GPTs is a plus Ability to work independently and in collaboration with diverse teams Strong problem-solving mindset with attention to both technical detail and business impact Clear and effective communication skills, both written and verbal Education & experience Bachelors degree or diploma in Computer Science, Information Systems, or related fields Minimum 2 years of experience in software or automation development. Everest Group complies with the GDPR, CCPA/CPRA and other data protection regulations. For more information on how Everest Group processes your personal information, please read our Privacy Notice (www.everestgrp.com/privacy-noticefor- applicants-employees-and-contractors/) . By submitting this application, you indicate that you have read and understand our privacy terms and consent to the processing of your personal information by us. To exercise your data subject rights under GDPR, CCPA/CPRA you can fill in our form available at Data Rights Everest Group (everestgrp.com) . You can email your data protection request to privacy@everestgrp.com. Everest Group is an equal opportunity employer. We have a culture of inclusion, and we provide equal opportunities for all applicants and employees, including those with disabilities. We are committed to providing an environment that is free of all discrimination and harassment and to treating all individuals with respect.

MandatorySkills Strong programming experience in Java or Python (Python coding test is mandatory) Experience with Azure cloud platform 8+ years of experience in AI/ML development Expertise in LLMs, DocumentExtraction, GenAI, and NLP Hands-on with CI/CD tools and practices Real-world deployment experience of AI models Experience with POCs and pilot solutions Strong communication, collaboration, and ownership skills Ability to build integrations with existing tech stacks Experience working with business/investment professionals

Primary Skills Python Azure GenAI LLM NLP CI/CD AI Model Deployment Document Processing POC Development Key Responsibilities Develop and deploy AI solutions using Python in cloud-based environments (preferably Azure) Design and implement use cases involving LLMs, document extraction, and processing Build integrations with existing enterprise systems and investment platforms Work closely with business/investment professionals to translate requirements into AI/ML solutions Develop scalable and efficient AI/ML models with a focus on real-world deployment Lead small POCs and pilot AI projects with clear delivery ownership Maintain high code quality, follow CI/CD practices, and ensure model reliability Mandatory Requirements 8+ years of hands-on programming experience in Python (Java is a plus) Must pass a Python coding screening Proficiency with Azure Cloud Strong practical knowledge in GenAI, NLP, and LLM deployment Experience in deploying AI models in production Familiarity with CI/CD tools and pipelines Excellent collaboration and communication skills Strong sense of ownership and accountability Nice To Have Experience in finance or investment domains Solution design experience in cross-functional teams Contract Duration: 1 Year (Till 31-Dec-2025) Working Hours: 1 PM IST to 10 PM IST (45 Hours/Week) Contact: +91 90329 56160 (Contract Role | Must pass Python coding test) Application Checklist Current CTC Expected CTC Preferred Location Notice Period Immediate Joiners or Max 15 Days On

Roles and Responsibilities: Architecture & Infrastructure Design Architect scalable, resilient, and secure AI/ML infrastructure on AWS using services like EC2, SageMaker, Bedrock, VPC, RDS, DynamoDB, CloudWatch . Develop Infrastructure as Code (IaC) using Terraform , and automate deployments with CI/CD pipelines . Optimize cost and performance of cloud resources used for AI workloads. AI Project Leadership Translate business objectives into actionable AI strategies and solutions. Oversee the entire AI lifecycle from data ingestion, model training, and evaluation to deployment and monitoring. Drive roadmap planning, delivery timelines, and project success metrics. Model Development & Deployment Lead selection and development of AI/ML models, particularly for NLP, GenAI, and AIOps use cases . Implement frameworks for bias detection, explainability , and responsible AI . Enhance model performance through tuning and efficient resource utilization. Security & Compliance Ensure data privacy, security best practices, and compliance with IAM policies, encryption standards , and regulatory frameworks. Perform regular audits and vulnerability assessments to ensure system integrity. Team Leadership & Collaboration Lead and mentor a team of cloud engineers, ML practitioners, software developers, and data analysts. Promote cross-functional collaboration with business and technical stakeholders. Conduct technical reviews and ensure delivery of production-grade solutions. Monitoring & Maintenance Establish robust model monitoring , alerting , and feedback loops to detect drift and maintain model reliability. Ensure ongoing optimization of infrastructure and ML pipelines. Must-Have Skills: 10+ years of experience in IT with 4+ years in AI/ML leadership roles. Strong hands-on experience in AWS services : EC2, SageMaker, Bedrock, RDS, VPC, DynamoDB, CloudWatch. Expertise in Python for ML development and automation. Solid understanding of Terraform, Docker, Git , and CI/CD pipelines . Proven track record in delivering AI/ML projects into production environments . Deep understanding of MLOps, model versioning, monitoring , and retraining pipelines . Experience in implementing Responsible AI practices – including fairness, explainability, and bias mitigation. Knowledge of cloud security best practices and IAM role configuration. Excellent leadership, communication, and stakeholder management skills. Good-to-Have Skills: AWS Certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect. Familiarity with data privacy laws and frameworks (GDPR, HIPAA). Experience with AI governance and ethical AI frameworks. Expertise in cost optimization and performance tuning for AI on the cloud. Exposure to LangChain , LLMs , Kubeflow , or GCP-based AI services .

Technical Architect - GenAI Job Responsibilities Excellent communication skills and customer management skills 12+ years of deep technical expertise in distributed transactional scale & digital architectures. Experience in Solution Architecture Experience in Java or .NET and related frameworks Experience in GenAI, ChatGPT, LLM, RAG architectures Experience in CoPilot etc Experience in Cloud solutions. Either AWS or Azure or GCP Experience in Microservices and cloud native architectures Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendations Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture. Identifies implementation risks and potential impacts. Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Stakeholder Interaction Stakeholder Type Stakeholder Identification Purpose of Interaction Internal Delivery teamsReview of architectural process deployment in engagements, escalation management, issue resolution Pre-sales teamFor solutioning and architectural design purposePractice teamsTo understand the different solution portfoliosHolmes engineering and roll outFor automation purposeTalent Transformation Team, Competency GroupPlan and support delivery of Technical Trainings, knowledge sharing HRBPFor hiring and managing resourcesFinanceRevenue / budgetsTalent acquisition teamRecruitment External Vendors/ PartnersFor strategic alignment and partnerships, training Industry forums Best practices, market intelligence, knowledge sharing Display Lists the competencies required to perform this role effectively Functional Competencies/ Skill Domain/Industry Knowledge - Awareness and knowledge of broad economic, demographic, technological and global trends within own ecosystem - Expert Market Intelligence - Deep specialized understanding of the ecosystem practice, overall market & competition and nuances of delivery in that domain - Master Systems Thinking - Understanding of the Wipro system (interrelatedness, interdependencies and boundaries) and perform problem solving in a complex environment - Expert Leveraging Technology - In-depth knowledge of and mastery over ecosystem technology that commands expert authority respect - Master Asset reusability - ability to re-use the assets to ensure scalability and optimization - Expert Technical knowledge - architecture design principles, framework and documentation - Expert Competency Levels Foundation Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance. Competent Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well. Expert Applies the competency in all situations and is serves as a guide to others as well. Master Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised within the entire organization. Behavioral Competencies Strategic perspective Technology Acumen Innovation Managing Complexity Client centricity Execution excellence Change agility Passion for results Nurturing people Executive presence Deliver No. Performance Parameter Measure 1. Support sales team to create wins % of proposals with Quality Index >7, timely support of the proposals, identifying opportunities/ leads to sell services within/ outside account (lead generation), no. of proposals led 2. Delivery support CSAT, delivery as per cost, quality and timelines, Identify and develop resuable components, utilization %, Recommend tools for reuse, automation for improved productivity and reduced cycle times 3. Capability development % trainings and certifications completed, increase in ACE certifications, thought leadership content developed (white papers, Wipro PoVs) 4. Team Management Team attrition %, Employee satisfaction score

ABOUT THE TEAM The Generative AI Platform team owns the company-wide stack for Large Language Model integration, including retrieval-augmented generation (RAG), prompt orchestration, vector-database indexing, and evaluation tooling. We partner with product, design, and domain experts to convert research breakthroughs into secure, scalable, and delightful customer experiences. As our Lead LLM Architect you will set the technical vision, design the architecture, and guide engineers building reusable AI services across web, mobile, and backend products. At ABC, we love entrepreneurs because we are entrepreneurs. We know how much grit it takes to start your own business and grow it into something that lasts. We roll our sleeves up, we act fast, and we learn together. You will be working closely with talented software engineers and senior engineering leaders to optimize and build upon our single integration platform strategy. WHAT YOULL DO: Partner with engineering, product, and design leaders to define a clear Gen-AI vision, strategy, and roadmap for ABCs platform. Empower your team to deliver AI-powered solutions in a simple, reliable, and sustainable way. Develop and support engineers in their personal growth and career progression; act as a mentor and coach. Contribute to engineering-wide initiatives that make ABC an exceptional place to work for ambitious, highly motivated engineers. Gain deep product understanding of our fitness-tech domain and share that knowledge across the team. Teach, mentor, and coach other engineers on Gen-AI best practices, secure coding, and architectural excellence. Facilitate daily stand-ups and planning; remove blockers, ensure goals are met, and embed lessons learned from retrospectives and experiments. Provide hands-on leadership across our technical stack (Java, .NET, Golang, React/React Native) while introducing LLM components (OpenAI/Azure OpenAI, LangChain, vector DBs). Leverage cloud expertise (AWS or Azure) to deploy scalable, cost-efficient AI micro-services on Kubernetes with IaC (Terraform/Bicep). Architect and oversee API-orchestration layers that expose LLM capabilities as secure, versioned services consumed by web and mobile products. Embed Responsible-AI guardrailsbias checks, audit logging, safety filtersand champion enterprise-grade security, privacy, and compliance. Oversee best-practice adoption for software engineering, DevSecOps, and quality; ensure industry standards and legal requirements are built into every release. Communicate clearly with stakeholders and senior management—articulating platform strategy, trade-offs, and technical risks in plain English. WHAT YOU’LL NEED: Bachelor’s degree in Computer Science (or related field) preferred; Master’s or PhD in AI / ML is a plus. 8–10 + years of hands-on software-engineering experience, including 3 + years in technical-lead or people-management roles driving architecture decisions. Deep expertise with Gen-AI stacks: OpenAI / Azure OpenAI, LangChain / LlamaIndex, embedding workflows, and vector databases (Pinecone, Weaviate, Milvus, pgvector). Cloud mastery on AWS and/or Azure—including Kubernetes, GPU/TPU provisioning, Infrastructure-as-Code (Terraform/Bicep), and cost-governance. Strong coding skills in Node.js and/or Python, plus ability to dive into Java, .NET, React / React Native when needed (“roll-up-your-sleeves” mindset). Proven track record designing and operating large-scale, low-latency AI micro-services used by thousands of customers or millions of requests. Solid grounding in software-architecture patterns, system design, and DevSecOps; able to embed Responsible-AI guardrails (bias checks, safety filters, audit logging). Exceptional written and verbal communication, comfortable translating complex AI concepts for both technical and non-technical stakeholders. Demonstrated leadership and mentoring skills—cultivating curiosity, psychological safety, and an innovation mindset within diverse teams. Strategic-planning & project-management prowess: OKRs, Agile/Scrum, roadmap prioritisation, and cross-functional delivery in fast-moving environments. “Experience partnering with OpenAI or Azure OpenAI product teams, or contributing to OSS Gen-AI frameworks, is a strong plus.”

What is AI Engineer team responsible for? As a Senior AI Engineer, youll be a key member of the Data & AI team. This team is responsible for designing and delivering data engineering, analytics, and generative AI solutions that drive meaningful business impact. Were looking for a pragmatic, results-driven problem solver who thrives in a fast-paced environment and is passionate about building solutions at scale. The ideal candidate has a strong technical foundation, a collaborative mindset, and the ability to navigate complex challenges. You should be comfortable working in a fast-moving, startup-like environment within an established enterprise, and should bring strong skill sets to adapt new solutions fast. You will play a crucial role in integrating AI solutions in our existing digital solutions, optimizing our data infrastructure, and enabling insights through data #MID_SENIOR_LEVEL What is a Digital & AI/ML Lead Engineer (Senior AI Engineer) responsible for? Serve as a hands-on technical lead, driving project execution and delivery in our growing AI team based in the Hyderabad office. Collaborate closely with the U.S.-based team and cross-functional stakeholders to understand business needs and deliver scalable, AI-powered solutions. Design and build AI applications leveraging best smart solutions. Provide quick prototype and evaluation AI/ML solutions aligned with business objectives. Stay current with emerging trends in AI, and machine learning and help implement best practices within the team. Mentor and support junior engineers, fostering a culture of learning and technical excellence. Manage unstructured data and generate embeddings that can further be leveraged into AI products. What ideal qualifications, skills & experience would help someone to be successful? Bachelors or master’s degree in computer science, data science, engineering, or a related field from a premium institute. 7+ years of experience in engineering, software engineering, data science, or machine learning, including 3+ years in a technical leadership role. Strong understanding with data pipelines, Snowflake ecosystem and master data management. Proficiency in Python. Experience working with unstructured data, large language models (LLMs), embeddings, and building generative AI prototypes. Self-starter with a passion for learning new tools and technologies. Strong communication skills and a collaborative, ownership-driven mindset. Work Shift Timings - 2:00 PM - 11:00 PM IST

What Youll Own Full Stack Systems: Architect and build end-to-end applications using Flask, FastAPI, Node.js, React (or Next.js), and Tailwind. AI Integrations: Build and optimize pipelines involving LLMs (OpenAI, Groq, LLaMA), Whisper, TTS, embeddings, RAG, LangChain, LangGraph, and vector DBs like Pinecone/Milvus. Cloud Infrastructure: Deploy, monitor, and scale systems on AWS/GCP using EC2, S3, IAM, Lambda, Kafka, and ClickHouse. Real-time Systems: Design asynchronous workflows (Kafka, Celery, WebSockets) for voice-based agents, event tracking, or search indexing. System Orchestration: Set up scalable infra with autoscaling groups, Docker, and Kubernetes (PoC ready, if not full prod). Growth-Ready Features: Implement in-app nudges, tracking with Amplitude, AB testing, and funnel optimization. Must-Haves: 1+ years of experience building production-grade full-stack systems Fluency in Python and JS/TS (Node.js, React) shipping independently without handholding Deep understanding of LLM pipelines, embeddings, vector search, and retrieval-augmented generation (RAG) Experience with AR frameworks (ARKit, ARCore), 3D rendering (Three.js), and real-time computer vision (MediaPipe) Strong grasp of modern AI model architectures: Diffusion Models, GANs, AI Agent Hands-on with system debugging, performance profiling, infra cost optimization Comfort with ambiguity fast iteration, shipping prototypes, breaking things to learn faster Bonus if youve built agentic apps, AI workflows, or virtual try-ons

The Team : We are looking for a Software developer (Full Stack) with ReactJS, .NET, C# and JavaScript skills who will contribute to the application development of the product. Candidate should understand product vision and should be able to analyze requirements, design and implement enterprise level applications And follow agile methodology in a scrum environment. Responsibilities : Analyze stories that have been written by Product Owner and perform an estimation of the complexity Setup?a strategy to implement the stories. Build or Enhance features in respect to the stories with defensible coding strategies. Delivery with best quality. Provide support and maintenance. Collaborate effectively with technical and non-technical stakeholders Follow agile best practices. Raise Concerns About Incomplete or Poor Requirements Attend all Scrum ceremonies Analyze and recommend solution design (Design Guidance) Make sure that code review tasks on all user stories are added and timely completed Ensures that team is following the Unit Testing. What Were Looking For : Basic Qualifications :- A minimum of 4+ years of strong experience in application development. Proficient with software development lifecycle (SDLC) methodologies like Agile, Test- driven development. Strong command in ReactJS, Javascript, C#, ASP.NET Core, LINQ, Entity Framework, Restful Services, HTML 5, CSS, XML/XSLT, TSQL (SQL Server) and query optimization techniques. Knowledge of object-oriented design, Cross-browser Compatibility, Responsive UI Good understanding of Design Principles & excellent communication skills Bachelors or masters degree (or higher) in a relevant discipline, or equivalent work experience Knowledge of system architecture, designpatterns & ability to work in layered architecture: Presentation, Service, Business & Data. Experience working with AWS cloud. Experience working with Serverless, Elastic Search, Redis, NoSQL, Containers and Docker plus Nice to have GenAI, requireJS, Node.js, Lodash,Typescript, VSTest/ MSTest/ nUnit AWS Certification is a Plus

Must-Have Skills: Proficiency in Large Language Models (LLMs) Strong knowledge of machine learning algorithms and statistical analysis Expertise in data munging, cleaning, transformation, and normalization Hands-on experience with Python, ML algorithms (regression, clustering, decision trees) 5+ years of relevant experience in Data Science / Machine Learning Good-to-Have Skills: Experience with GenAI, RAG, and Azure services Familiarity with Tableau/Power BI for data visualization Strong background in technical leadership and mentoring Role & responsibilities Preferred candidate profile

Mercer PDE team is seeking candidates for the following position based in Noida and gurgaon location What can you expect? As a Lead Software Engineer at Mercer, you will be a key member of our strategic engineering group, embodying best practices, quality, and the overarching engineering vision. You will be actively involved in identifying and delivering advanced technology opportunities based on Generative AI, New AI models, Chatbot etc. You will also be expected to contribute and improve the delivery methodology and practice keeping pace with the market and new technologies. This hands-on position requires you to be a product builder who leads by example, ensuring the successful delivery of solutions that adhere to the principles of Qualitative Engineering, which include: Security Scalability Reliability Maintainability Testability AI Integration You will be designing, developing, and deploying Web and AI solutions that meet the needs and expectations of the clients and the users. Building awareness around the challenges and the best practices that are involved in working with AI and striving to overcome them and improve skills. Additionally, you should have knowledge of cloud platforms such as AWS and Azure. What is in it for you? Discover what's great about working at Marsh McLennan from the opportunities that our size brings, to our commitment to our communities and understanding the benefits youll receive. We are four businesses with one PURPOSE: helping companies meet the challenges of our time. As a global leader in insurance broking and risk management, we are devoted to finding diverse individuals who are committed to the success of our clients and our organisation. Joining us will provide a solid foundation for you to accelerate your career in the risk and insurance industry. You will join a team of talented professionals from across the globe which is dedicated to helping clients manage some of the world's most challenging and complex risks. We can promise you extraordinary challenges, extraordinary colleagues, and the opportunity to make a difference. Our rich history has created a client service culture that we believe is second to none. Our commitments to Diversity and Inclusion, Corporate Social Responsibility, and sustainability demonstrate our commitment to stand for what is right. Key Responsibilities: Design, implement, and test novel artificial intelligence models and algorithms that can learn from diverse and complex data sources and perform multiple tasks across different domains. Write high-quality code based on Agile user stories, ensuring adherence to coding standards and guidelines through unit testing. Integrate AI solutions into existing products and new developments, aligning AI practices with organizational goals. Collaborate with data scientists and AI specialists to implement machine learning models and AI-driven features. Actively participate in the MMC Technology community, contributing to discussions, collaborations, and learning opportunities. Demonstrate strong problem-solving skills and promote the principles of reuse across teams and the organization. Advocate for best practices and principles within the organization. Champion agile practices that are foundational to successful product delivery. Foster a diverse, inclusive, and collaborative work environment where all ideas and opinions are valued. Build strong relationships with product owners, solutions architects, analysts, and leadership to ensure alignment with business objectives. Utilize state-of-the-art technologies to address real-world challenges, including AI and machine learning applications. Conduct experiments and evaluations to measure and improve the performance, robustness, and scalability of general artificial intelligence systems. Stay updated on the latest developments and trends in artificial intelligence research and applications. Write clean, readable, and testable code that follows best practices and standards. Communicate and document the results and insights of general artificial intelligence projects to internal and external stakeholders . What we are looking for: We are seeking an experienced full stack Software Engineer with a proven track record of working on multiple products, particularly those that leverage AI technologies. The ideal candidate will possess: Strong communication skills, enabling effective interaction with both technical and non-technical colleagues in a cross-functional environment. A successful history of delivering software across a diverse range of languages, technologies, and platforms, including AI integrations. Experience providing opportunities, training, and mentorship to software engineers, particularly in AI and machine learning. Familiarity with Agile at Scale, Lean, and Continuous Delivery methodologies, including Continuous Integration, Test-Driven Development, and Infrastructure as Code. Experience with cloud-native software architectures and deploying AI solutions in cloud environments. Proven experience in security-driven design practices and addressing SAST/DAST findings. Proficiency in CI/CD and DevOps practices, including the use of Quality Gates to maintain high code quality. API Development - Develop rest APIs with right set of guardrails using NestJS, NodeJS, Python and other technologies. Machine learning: the process of creating and training models that can learn from data and make predictions or decisions. Natural language processing: the field of AI that deals with understanding and generating natural language, such as text and speech. Computer vision: the field of AI that deals with analyzing and interpreting visual information, such as images and videos. Reinforcement learning: a type of machine learning that involves learning from trial and error by interacting with an environment and receiving rewards or penalties. Data science: the practice of collecting, cleaning, analyzing, and visualizing data to gain insights and solve problems. Technical Skills and Qualifications Required Extensive experience across multiple programming languages and frameworks, with deep expertise in at least one of the following: JavaScript, TypeScript. Strong python language expertise with working experience on GenAI applications. Strong experience with frameworks such as Angular, Node.js, Nest.js and Less (Sass). Essential experience in Unit Testing and Integration Testing. Familiarity with AI & NLP frameworks and libraries (e.g., TensorFlow, PyTorch, LangFlow, Scikit-learn, NLTK) is highly desirable. Experience with middleware technologies such as Kafka, NServiceBus, Camunda, Dremio, and RabbitMQ is a plus. Proficiency in container technologies like Docker and Kubernetes. Demonstrated experience in refactoring, implementing design patterns, design-driven development, continuous integration, system and application design, application security, and AI model deployment. Strong experience with ORM frameworks and databases, including TSQL and NoSQL databases such as MSSQL and MongoDB. Solid understanding of SDLC processes and practices, with experience using tools such as Confluence, JIRA, ADO, and GitHub. Experience designing and deploying applications on cloud infrastructure with providers like AWS and Microsoft Azure, particularly in relation to AI services. Familiarity with the MEAN or MERN stack. Experience with consumption and training of SLLMs. What makes you stand out? BTech/ MCA degree Strong knowledge of Generative AI and artificial intelligence concepts, techniques, and tools, such as LLMs, SLLM,s, Agentic AI, neural networks, reinforcement learning, natural language processing, computer vision, knowledge representation, and reasoning. Prior experience in working with AI/ ML and Generative AI models. Join us at Mercer, where you will have the opportunity to lead innovative engineering initiatives and shape the future of our software solutions. We look forward to your application!

Introduction Thomson Reuters conducted a change program to transition from a holding company to an operating company. Therefore, this position provides the opportunity to shape and scale the recently created Enterprise Architecture team and mature mechanisms to enable application teams. Thomson Reuters migrated hundreds of applications to the Cloud and continuously invests in generative AI initiatives and acquisitions. These efforts aim to transform how professionals work in legal, tax, accounting, compliance, government, and media. About The Role: Enhance architecture transparency by working with application teams to document their architectures and technology stacks, and to understand their architecture challenges. Increase the maturity of the architecture documentation lifecycle management. Create mechanisms to identify and report technical debt. Facilitate the creation of architecture standards, converging tech stacks, focusing on cloud-modernization leveraging cloud-native technologies. Work across product- and platform teams to shape the creation and alignment of technology stacks. Increase the maturity of the standards creation and lifecycle management. Foster the adoption of architecture standards by collaborating with product- and platform engineering architects to create application templates and leverage infrastructure as code. Provide documentation to help application teams adopt these standards. Define and enhance ways of working. Improve the maturity of enterprise architecture processes. Build automated mechanisms using modern cloud technologies and Generative AI to automate architecture governance. Facilitate architecture planning by collaborating with various application teams to define future architectures and roadmaps. Support initiatives such as mergers and acquisitions by providing architectural expertise and continuously optimizing architecture mechanisms. About You: Bachelors degree in computer science, information technology, or a related field. 8+ years of experience in enterprise or IT architecture, with a focus on documenting current architectures, developing target architectures and roadmaps, and managing application and technology portfolios. Five years of experience in a customer-facing role focused on translating customer needs into architecture standards and patterns. Proven ability to collaborate with diverse stakeholders to iteratively enhance governance processes and define approaches with clear steps and deliverables. Proficient in using GenAI-powered assistants, Microsoft Office Suite, Power BI, and citizen development. Able to explore and implement innovative data integration and analysis solutions. Proven experience in designing and implementing enterprise-level IT solutions. Proficiency in cloud technologies (e.g., AWS, Azure, Google Cloud Platform). Excellent communication, leadership, and interpersonal skills, capable of engaging and influencing at all levels of the organization. Ability to earn trust and drive consensus across different stakeholder groups. Skilled in migrating and transforming legacy customer solutions to cloud platforms. Experienced in managing IT due diligence and integration planning for mergers and acquisitions (M&A).

The Team: The Private Markets Data Operations Team provides exceptional insights and analytics that empower clients in the private markets landscape. The purpose of this team is to generate unique market-leading data, ensuring accuracy, completeness, and timeliness. By leveraging innovative data collection and analytical techniques, we enhance transparency and deliver actionable insights that inform strategic decision-making. Our culture of innovation prioritizes Lean methodologies and automation to streamline processes and improve data integrity. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitive environment. Responsibilities & Impact: In this role, you will significantly contribute to the data teams objectives by supporting the collection, analysis, and maintenance of datasets. Your work will directly influence the accuracy, completeness, and timeliness of the data provided, driving strategic decision-making. You will collaborate with team members to execute data quality initiatives and lead ad-hoc projects aimed at enhancing our data offerings. This role provides an opportunity to further develop your analytical and leadership skills while working with motivated individuals to generate actionable insights that support operational excellence. Responsibilities: Lead Data Collection Efforts: Gather and verify extensive data on market participants, utilizingpublicly available sources including but not limited towebsites, news articles, and various public registries & filings to provideaccurate insights and ensure thorough data coverage. Implement Data Quality Standards: Oversee and implement rigorous data cleansing processes to ensure high accuracy and consistency in datasets, utilizing best practices and methodologies. Conduct Advanced Reporting and Analysis: Perform in-depth reporting and trend analysis, generating comprehensive reports that provide actionable insights for strategic decision-making. Drive Automation and Efficiency: Spearhead automation initiatives for data collection and reporting tasks using SQL and Lean methodologies to optimize processes and enhance overall efficiency. Utilize Advanced Analytical Tools: Apply advanced analytical tools, including GenAI, for exploratory data analysis to extract deeper insights and facilitate informed decision-making. Ensure Compliance and Documentation: Maintain thorough documentation of data collection processes and compliance, contributing to continuous improvement initiatives and best practices. Achieve Performance Targets: Consistently deliver on individual and team targets with a strong emphasis on quality assurance and operational excellence. Contribute to Strategic Enhancements: Actively contribute to the development of new data collection methods and product enhancements to improve strategies based on market needs. Troubleshoot Complex Issues: Address and resolve complex data-related issues, provide support to team members, and foster a collaborative problem-solving environment. Lead Workflow Improvement Initiatives: Drive initiatives aimed at refining workflows and enhancing overall team performance through innovative process improvements. Preferred Qualification/What We Are Looking For: Masters degree in finance, economics, data science, or related fields. 1-2+ years of experience in data projects, including validation and cleansing techniques would be preferred. Strong analytical mindset with attention to detail and advanced quantitative skills. Proficiency in SQL and Excel; familiarity with BI tools (Tableau/Power BI) is essential. In-depth understanding of compliance in data collection and reporting. Exposure to Lean principles or automation tools is essential. Willingness to learn and adapt to modern technologies, including GenAI. Excellent communication skills with the ability to articulate complex data insights effectively. Strong time-management and multi-tasking skills to handle various business facets. Proficient in secondary research and online thematic research. Certification and experience in MS Office (Excel, Word, PowerPoint). Initiative and resourcefulness in problem-solving. Adaptable to flexible shifts and team environments. Strong project management skills for ad-hoc projects. Deep interest in market trends with the ability to analyze market dynamics. Strong collaboration and interpersonal skills to build relationships with stakeholders. Proactive in enhancing technical skills relevant to data analysis and reporting. Ability to share constructive feedback and foster a culture of continuous improvement. Location-Ahmedabad,Bengaluru,Gurugram,Hyderabad,Mumbai

Senior LLM Engineer GenAI / ML (Python, Langchain) Full Time Location: India Overall Experience: 7-12 Years Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: 1+ years of hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Must have: Python programming, Frameworks Good to Have: AI exposure, Cloud, AirFlow Solid coding skills in Python , Pandas, Numpy, Airflow ,scikit-learn, TensorFlow/PyTorch, and web frameworks like Flask Ability to integrate generative models into production environments and optimize their performance Proficient in using frameworks such as TensorFlow, PyTorch, and Keras for building and training generative models. Familiarity with Java, cloud technologies, and DevOps tools such as Jenkins, Kubernetes, and GitHub Actions is a plus Solid individual contributor with expertise in NLP, AI, and ML Good knowledge of front-end tools such as HTML, CSS, JavaScript, and Angular Skilled in creating synthetic data and enhancing data quality using generative techniques. Expertise in applying generative AI for various applications, including image synthesis, text generation, and style transfer Well versed in Data Structures & Algorithms

Greetings from HTC Global Services!! Job Description: AI & ML Engineers Job Location: Chennai Job Type: Permanent/ Full Time Shift Timing: General shift/ UK Shift Notice Period: Immediate - 15 Days Skills Required: Position Description: JD: JD: • Building ML pipeline including model training, evaluation and deployment • Packaging the Model (Containerize), implementing serving solution and create APIs to expose models for external user • Feature engineering, ensuring data quality and building data pipelines Note: All these skills should be mentioned in the profiles, else profiles will not be considered. If you are interested, please share your updated CV along with the below details to mathankumar.m@HTCinc.com Full Name: Total Experience: Relevant Experience: Current CTC: Expected CTC: Official Notice Period: How soon you can join: Reason for Change: About US: HTC Global Services is a leading US based provider of IT solutions and IT enabled services for over two and half decades with headquarters in Troy, Michigan, USA. We are an Inc. 500 Hall of Fame company with 11,000+ employees. Our global presence includes USA, UK, Germany, Australia, Singapore, Malaysia, Indonesia, UAE, and India. Staffed by a team of highly qualified and experienced professionals, HTC offers business specific solutions in the following verticals - Automotive and Manufacturing, Healthcare, Insurance and Finance, Retail, Technology, Publishing, Government, Telecom, and Energy and Utilities. HTC is an ISO 9001, and ISO 27001 certified company with processes compliant to SEI CMM Level 5. Our recent acquisitions include CareTech Healthcare Solutions and Ciber Inc. Our offshore Delivery Centers include Chennai , Hyderabad and Bangalore. HTC is a certified Minority Business Enterprise recognized by the Michigan Business Development Council (MMBDC). Thanks, Mathan 9600011509

Title: UI/UX Engineer Seniority: Junior Location: Noida, India Description & Requirements The UI/UX Engineer will play a critical role in designing and developing intuitive and responsive user interfaces for applications. This role requires a strong understanding of modern front-end technologies, UI/UX design principles, and cloud-native practices. The ideal candidate will have experience in creating seamless user experiences, integrating with APIs, and deploying applications in containerized environments. You will be part of a dynamic team that contributes to the success of various projects by delivering high-quality user interfaces that meet customer needs. Key Responsibilities Technical & Engineering Leadership Develop and implement high-quality user interfaces using Figma, Adobe XD, Sketch, ReactJS, Angular, or similar frameworks, ensuring responsive and user-friendly designs. Collaborate with cross-functional teams to define, design, and ship new features, ensuring the best possible user experience. Convert complex designs into functional HTML5/CSS3/JavaScript code, ensuring cross-browser compatibility and performance optimization. Integrate front-end components with RESTful APIs and other backend services, maintaining seamless functionality. Contribute to the overall design system and UI/UX best practices within the organization. Service Delivery & Innovation Deliver high-quality UI/UX designs from concept to deployment, ensuring they are aligned with client expectations and project requirements. Optimize web applications for maximum speed and scalability, ensuring they are performant across different devices and browsers. Participate in the continuous improvement of development processes and design guidelines, focusing on enhancing the user experience. Innovation & Initiative Stay updated with the latest trends in UI/UX design and front-end development, bringing innovative ideas to the team. Engage in technical innovation, exploring new tools and technologies to improve the design and development process. Maintain hands-on technical expertise, ensuring that the team is adopting the best UI/UX practices and standards. Client Relationships Work closely with clients to understand their needs and deliver UI/UX solutions that meet their business goals. Conduct client workshops and presentations to showcase design concepts and gather feedback, ensuring alignment throughout the development process. Act as a trusted advisor to clients, providing insights and recommendations for improving their user interfaces and overall user experience. Mandatory Skills & Experience Proven experience (3+ years) in front-end development using ReactJS, Angular, or similar frameworks. Strong knowledge of web development technologies, including HTML5, CSS3, JavaScript, SASS, and TypeScript. Experience in designing and implementing responsive, cross-browser compatible UI/UX designs. Familiarity with cloud-native principles and deploying front-end applications in containerized environments (e.g., Docker, Kubernetes). Experience with version control systems like Git and project management tools like JIRA/Confluence. Excellent communication skills with the ability to work effectively in a collaborative environment. Technologies Desired Skills & Experience Understanding of accessibility standards and best practices, ensuring designs are inclusive for all users. Experience with API integration and working within microservices-based architectures. Knowledge of Agile and Scrum methodologies, with experience in delivering projects in a fast-paced environment. Knowledge and understanding of GenAI Certification in front-end development or UI/UX design is a plus.

Job Title: Chief Architect / Principal Architect - AI & Digital Solutions (Leadership Role Pre-sales) Location: Chennai / Pune / Noida / Bangalore / Hyderabad About the Role: We are seeking a visionary Chief Architect / Principal Architect with a strong leadership focus, who brings deep expertise in AI, Cloud, and Enterprise Architecture combined with a strategic mindset for pre-sales and solution consulting . This dual-role position is perfect for a seasoned technologist who thrives at the intersection of AI/ML, Agentic AI, RAG, MLOps, Data Engineering, Cloud Architecture , and digital transformation consulting . You will not only define the strategic vision and architecture of next-generation platforms but also lead and scale pre-sales engagementscrafting compelling solutions, engaging with customers, and converting opportunities into tangible outcomes. Key Responsibilities: Lead the architecture and design of AI-driven platforms, Agentic AI solutions, and cloud-native enterprise applications . Architect and oversee the development of scalable LLM-based chatbot solutions, Knowledge Management AI systems, and RAG pipelines . Design secure and efficient cloud architectures with deep expertise in Azure, AWS, or GCP . Drive innovation through hands-on prototyping, PoCs, and feasibility analysis of Generative AI models, multi-LLM integration, and LangGraph workflows . Collaborate with cross-functional teams, including Product, Data Science, DevOps, and Engineering , to align AI solutions with business goals. Provide technical leadership in IT strategy for startups , advising on AI adoption, cloud transformation , and scalable product architectures . Lead and manage the pre-sales team for digital transformation projects , working closely with sales, marketing, and delivery teams to create customized solutions, present proposals, build client trust, and accelerate business growth. Respond to RFPs, create reusable solution accelerators, and design end-to-end architectures for client demos and strategic pursuits. Participate in client workshops, understand pain points, and translate business needs into actionable technical roadmaps. Head the Architecture practice and provide executive leadership , establishing frameworks, best practices, and governance for enterprise-wide technology strategy. Key Qualifications: 15+ years of experience in software architecture, cloud computing, and AI/ML-driven solutions . Strong background in DevOps, CI/CD , and cloud-native architectures (Azure, AWS, GCP) . Experience in designing and deploying secure, scalable, and cost-optimized data platforms . Deep knowledge of enterprise AI solutions, chatbot development, and AI-powered process automation . Strong leadership and communication skills, with a track record of mentoring teams and driving architectural excellence. Experience working with startups or innovation labs to build and scale AI-driven products. Extensive experience in product development across B2C and B2B domains ; experience in the Payment Domain will be a plus. Proven success in cloud migration, modernization initiatives , and building secure authentication flows using OAuth2, SAML2 , and social logins . Expertise in integrating complex systems using ETL pipelines, Queuing solutions , and Enterprise Integration products . Demonstrated ability to balance strategic oversight with hands-on technical execution . Why Join Us? Competitive Compensation: We offer industry-leading salaries that reflect your expertise and contributions. Dynamic Work Culture: Experience a flat organizational structure with flexible work arrangements, including remote work options, fostering autonomy and collaboration. Professional Development: Benefit from sponsored training, attendance at industry events, and educational conferences to enhance your skills and stay ahead in AI and cloud technologies. Wellness Programs: Participate in initiatives designed to support your physical and mental well-being, ensuring a balanced work-life experience. Inclusive Environment: Join a team that values diversity and provides equal opportunities for all employees, fostering a culture of innovation and respect. Corporate Social Responsibility: Engage in meaningful projects that give back to the community, such as collaborations with esteemed organizations. Empowerment Initiatives: Take advantage of programs supporting professionals resuming their careers with flexible work options. Be part of a proven leadership team that champions code quality, design congruence, and innovation , helping you grow in both technical and leadership dimensions . At MSys Technologies, we are committed to fostering an environment where innovation thrives, and employees are empowered to excel in their careers. If you are a hands-on architect who thrives in AI, cloud, and enterprise transformation, and want to climb the leadership ladder , we’d love to connect!

Experience in AI/ML deployment Experience in Generative AI based apps deployment Excellent knowledge in CI/CD Good idea about AI/ML based development Good exposure on cloud infrastructure

IT MANAGER, DATA ENGINEERING AND ANALYTICS will lead a team of data engineers and analysts responsible for designing, developing, and maintaining robust data systems and integrations. This role is critical for ensuring the smooth collection, transformation, integration and visualization of data, making it easily accessible for analytics and decision-making across the organization. The Manager will collaborate closely with analysts, developers, business leaders and other stakeholders to ensure that the data infrastructure meets business needs and is scalable, reliable, and efficient. What Youll Do: Team Leadership: Manage, mentor, and guide a team of data engineers and analysts, ensuring their professional development and optimizing team performance. Foster a culture of collaboration, accountability, and continuous learning within the team. Lead performance reviews, provide career guidance, and handle resource planning. Data Engineering & Analytics: Design and implement data pipelines, data models, and architectures that are robust, scalable, and efficient. Develop and enforce data quality frameworks to ensure accuracy, consistency, and reliability of data assets. Establish and maintain data lineage processes to track the flow and transformation of data across systems. Ensure the design and maintenance of robust data warehousing solutions to support analytics and reporting needs. Collaboration and Stakeholder Management: Collaborate with stakeholders, including functional owners, analysts and business leaders, to understand business needs and translate them into technical requirements. Work closely with these stakeholders to ensure the data infrastructure supports organizational goals and provides reliable data for business decisions. Build and Foster relationships with major stakeholders to ensure Management perspectives on Data Strategy and its alignment with Business objectives. Project Management: Drive end-to-end delivery of analytics projects, ensuring quality and timeliness. Manage project roadmaps, prioritize tasks, and allocate resources effectively. Manage project timelines and mitigate risks to ensure timely delivery of high-quality data engineering projects. Technology and Infrastructure: Evaluate and implement new tools, technologies, and best practices to improve the efficiency of data engineering processes. Oversee the design, development, and maintenance of data pipelines, ensuring that data is collected, cleaned, and stored efficiently. Ensure there are no data pipeline leaks and monitor production pipelines to maintain their integrity. Familiarity with reporting tools such as Superset and Tableau is beneficial for creating intuitive data visualizations and reports. Machine Learning and GenAI Integration: Machine Learning: Knowledge of machine learning concepts and integration with data pipelines is a plus. This includes understanding how machine learning models can be used to enhance data quality, predict data trends, and automate decision-making processes. GenAI: Familiarity with Generative AI (GenAI) concepts and exposure is advantageous, particularly in enabling GenAI features on new datasets. Leveraging GenAI with data pipelines to automate tasks, streamline workflows, and uncover deeper insights is beneficial. What Youll Bring: 12+ years of experience in data engineering, with at least 3 years in a managerial role. Technical Expertise: Strong knowledge of data engineering concepts, including data warehousing, ETL processes, and data pipeline design. Proficiency in Azure Synapse or data factory, SQL, Python, and other data engineering tools. Data Modeling: Expertise in data modeling is essential, with the ability to design and implement robust, scalable data models that support complex analytics and reporting needs. Experience with data modeling frameworks and tools is highly valued. Leadership Skills: Proven ability to lead and motivate a team of engineers while managing cross-functional collaborations. Problem-Solving: Strong analytical and troubleshooting skills to address complex data-related challenges. Communication: Excellent verbal and written communication skills to effectively interact with technical and non-technical stakeholders. This includes the ability to motivate team members, provide regular constructive feedback, and facilitate open communication channels to ensure team alignment and success. Data Architecture: Experience with designing scalable, high-performance data systems and understanding cloud platforms such as Azure, Data Bricks. Machine Learning and GenAI: Knowledge of machine learning concepts and integration with data pipelines, as well as familiarity with GenAI, is a plus. Data Governance: Experience with data governance best practices is desirable. Open Mindset: An open mindset with a willingness to learn new technologies, processes, and methodologies is essential. The ability to adapt quickly to evolving data engineering landscapes and embrace innovative solutions is highly valued.

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Navi Mumbai Location_ 18th May 25 (Sunday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Navi Mumbai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

GN - Song - MT - Brand and Creative - Senior Producer - Associate Manager The Strategy & Consulting Global Network Song Practice | Marketing Transformation | Brand and Creative-Senior Producer Join our team of Strategy & Consulting Global Network Song who solve customer facing challenges at clients spanning sales, service and marketing to accelerate business change. Practice: Strategy & Consulting Global Network Song I Areas of Work: Production, Branding, Digital Marketing, Creative Strategy, Campaigns and Execution | Level: Associate Manager | Location: Mumbai | Years of Exp 8+ years Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture Strategy & Consulting's Customer, Sales & Service practice. The Practice A Brief Sketch The practice is aligned to the Global Network Song Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will provide transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales, and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. As the Senior Film Producer you will be responsible for overseeing the production of high-quality video content for marketing campaigns. With 7-10 years of experience, this role requires a strong understanding of both B2B and B2C markets, as well as the ability to manage all aspects of film production, from pre-production to post-production. you will work closely with account, strategy, and creative teams to develop integrated marketing solutions that deliver measurable results. In this role, you will be responsible for managing budgets, timelines, and production teams to ensure that all video content is delivered on time and within budget. Strong leadership and communication skills are essential, as the role involves coordinating with clients and internal teams to address any issues that may arise. The ideal candidate will have a proven track record of producing high-quality video content that drives business growth. Your key responsibilities will include: Lead the production process for all major campaigns, from concept development to final delivery. Collaborate with creative teams and global production teams to ensure that the vision for each campaign is executed effectively. Take full ownership of a project; have a clear understanding, vision and plan of the project that is clearly communicated and executed. Act as the key decision-maker for production strategies, managing both internal teams and external partners (e.g., directors, vendors, post-production houses). Oversee all aspects of production, including pre-production planning, shoots, post-production, and final output. Ensure all creative outputs are aligned with the client's vision and the agency's quality standards. Lead production teams, including producers, production managers, editors, and external vendors. Work closely with creative, account, and strategy teams to align production efforts with broader campaign goals. Foster strong working relationships with directors, cinematographers, editors, and post-production teams to bring the creative vision to life. Develop and manage production budgets, ensuring projects stay on budget while maintaining the desired quality. Allocate resources efficiently, balancing creative needs with cost-effectiveness. Negotiate contracts and rates with external vendors, production companies, and freelancers. Maintain financial oversight throughout the production process, handling contingencies and cost overruns as necessary. Create and manage detailed production schedules, ensuring all aspects of the project stay on track and meet deadlines. Oversee the coordination of production logistics, including location scouting, talent booking, crew hiring, and equipment rentals. Anticipate and troubleshoot any potential delays or issues that may impact project delivery. Ensure that the final product meets both the client's expectations and the agency's high-quality standards. Review and approve all creative deliverables to ensure they align with the creative brief and campaign objectives. Act as the gatekeeper of creative quality, ensuring that production execution enhances the creative concept. Build and maintain strong relationships with external production vendors, directors, talent agencies, and post-production houses. Negotiate rates and terms with third-party vendors to ensure cost efficiency without compromising quality. Oversee the selection of directors, editors, and other key external talent, matching the right creative partners to each project. Maintain a focus on innovation and excellence in production, constantly seeking out new techniques, technologies, and methods to elevate the work. Serve as the primary production contact for clients, addressing any concerns and ensuring that client expectations are met. Collaborate closely with account management teams to ensure the production process aligns with the overall campaign strategy and client goals. Lead client-facing production meetings, presenting production plans, timelines, and budgets, while managing expectations. Key Skills: Leadership, Collaboration with cross functional team, Project Management, Client Value driven mindset, Vendor Management, Creative Vision, Editing skills, Financial acumen, In addition, in order to excel at the role, you will also need to Work with the leadership to support business development and thought leadership in the research/insights space . High level of organizational skills, able to manage multiple projects and deadlines simultaneously. Be adept at working in a fast-paced dynamic environment both on offshore and onshore locations. Have strong communication and presentation Skills to share the perfect pitch with key stakeholders. Have strong client handling skills to develop, manage and deepen relationships with key stakeholders. Have team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals. Possess strong leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members. Identify new opportunities, develop solutions and own proposals end to end. Contribute to offering development skills to identify areas of growth related to specific skills, platforms, assets etc. that contribute to enhancing the brand and creative strategy offering. Qualifications Your experience counts! Overall experience of 12+ years with at least 10 years of production, editing experience with a major consulting firm or advertising agency or leading MNC. Minimum bachelors degree in Production, Editing, Film making or related field from A listed institute. Deep understanding and experience of production processes, from pre-production to post-production, across multiple media formats. Fluency with editing and creative tools. Deep understanding of production technologies and trends, including camera equipment, editing software, and digital content delivery. Strong portfolio or samples of work demonstrating the width and depth of experience in the given field. Excellent communication skills with a diligent eye for detail, language, flow, and grammar. Proven experience in the development of integrated marketing and communications campaigns for global clients. Extensive experience producing content for multiple platforms, including TV, digital, social media, and branded content. Experience in working with middle to senior management levels within existing organization / client organizations. Good organizational, and time-management skills. Creative, collaborative spirit. Knowledge of using AI and GenAI tools. Experience in working across multiple industries.

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Chennai Location_ 17th May 25 (Saturday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Chennai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Must have Experience: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs