1456 Generative Ai Jobs - Page 45

About the Role: (Job Title: Strategic Partnerships Manager) NxtWave is looking for a dynamic and proactive B2B Manager to join our team. The candidate will be responsible for developing strategic collaborations with key stakeholders across academia, industry, and government sectors, as well as onboarding and nurturing relationships with professionals to enrich our content and educational offerings. Key Responsibilities: Research & Strategy Development: Identify, research, and create new avenues for collaborations with diverse stakeholders, including academia, industry professionals, and government bodies. Partnership Management: Act as a Single Point of Contact (SpoC) for external partners, representing NxtWave in meetings, events, and collaborations. Content Curation & Development: Liaise with industry and academic professionals to develop high-quality content in collaboration with in-house Subject Matter Experts (SMEs). Proposal Creation: Develop compelling presentations and proposals that communicate the value propositions of NxtWave s products and offerings to potential partners. Relationship Building: Nurture long-term relationships with key stakeholders and partners to drive business growth and ensure successful collaborations. Event Management: Organize and coordinate collaboration events, meetings, and partnership initiatives to promote NxtWave s mission and educational offerings. Qualifications: Bachelor's degree in Business, Management, or a related field from a reputed institution (Business Schools like ICFAI preferred). 0-1+ years of experience in B2B partnerships either Full Time or as an intern, preferably within the education or technology sectors. Strong understanding of B2B dynamics and partnership ecosystems across academia, industry, and government. Excellent written and verbal communication skills, with the ability to craft clear and persuasive messages. Proficiency in Microsoft Office, GSuite, and leveraging Generative AI tools to create professional and visually compelling proposals. Ability to manage multiple partnerships simultaneously, with strong organizational and time-management skills. Personal Attributes: Go-getter Attitude: Motivated, energetic, and proactive, with a strong sense of initiative. Ownership: Ability to take full responsibility for projects and partnerships, delivering quality results. Presence & Professionalism: Excellent presentation skills, including body language, dressing, and demeanor that reflect professionalism in client meetings and events. Perks & Benefits: Opportunity to work with a rapidly growing edtech company, shaping the future of education. Exposure to high-level stakeholders in academia, industry, and government sectors. Growth and development opportunities through management training programs. Work Location: NxtWave s Hyderabad Office Working days: 6 days per week

Responsible for the development and implementation of predictive modeling algorithms and techniques to solve unmet needs, customer/business problems and optimize user experiences Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services. Predictive AI Modeling: Formulate problem statements and hypotheses for diverse business challenges (clinical, operational and business process optimization problems). Create Spark & Python code in Databricks to retrieve data from across disparate data sources and create new innovative actionable insights. Prepare data for effective model training. Develop, train, and evaluate predictive AI models using various tailored to specific problems. Continuously refine and optimize models for performance, scalability, and efficiency. Deploy models into production environments and monitor their performance. Generative AI Modeling: Identify opportunities where generative AI models can add value Explore and experiment with generative models (e.g., GPT) suitable for the chosen application. Train and evaluate generative models, fine-tuning parameters for desired outputs. Integrate generative models into production workflows or applications. Work with datasets of varying degrees of size and complexity including both structured and unstructured data Implements batch and real-time model scoring to drive actions Develop sophisticated visualization of analysis output for various users through JavaScript based frameworks React/Angular/VueJs etc. or using OOPS C#, Java

About This Role 5to 7years of experience Skills:Generative AI, AI/ML Framework, AI Product Tools, Product Management About the Role: We are seeking a dynamic Product Manager, AI to define, build, and drive the strategy for our enterprise clients in Generative AI solutions. You will be responsible for identifying market opportunities, developing AI-driven products, and leading cross-functional teams to deliver innovative, scalable solutions that transform business operations. Your ability to bridge technical AI capabilities with customer needs will be key to driving success. Key Responsibilities: Define & execute AI product strategy aligned with our client's objectives. Lead market research & competitive analysis to identify business opportunities. Develop business cases for new AI-driven product initiatives. Translate complex AI/ML capabilities into intuitive product requirements and user stories. Oversee testing & validation to ensure AI features meet quality and performance standards. Engage with customers & stakeholders to refine AI solutions based on feedback. Optimize user journeys by partnering with marketing and sales for AI-driven engagement. Drive AI personalization & automation, leveraging NLP, sentiment analysis, and recommendation engines. Establish AI analytics & reporting to track performance and continuously improve solutions. Preferred Skills & Expertise: Generative AI product strategy and prototyping AI/ML frameworks (LLMs, RAG, NLP, Sentiment Analysis) Prompt engineering and AI-powered recommendation engine AI product tools (Pendo, Figma/Adobe, Lucidchart, others ) Data-driven decision-making and user experience design principles Strong communication, presentation, and stakeholder management skills Telecom, MarTech and/or STEM background (preferred but not required) Customer-centric and consultative mindset This role is ideal for a strategic thinker with a passion for AI-driven innovation who thrives in a fast-paced, cross-functional environment.

Join Team Amex and let's lead the way together. How will you make an impact in this role? The Global Compliance & Ethics (GC&E) organization establishes the framework for American Express global compliance risk management program commensurate with the size, complexity and risk profile of the entity. As an independent risk management function, GC&E is responsible for overseeing the organization’s compliance with regulatory expectations through a combination of monitoring and testing activities. The Director of Data Analytics and Reporting is a new role that will be responsible for building and overseeing an analytics program designed to identify themes and trends across issues and complaint data with the purpose of driving compliance monitoring activities. Further, this role will assist the GC&E organization in independently gathering and evaluating pertinent data for use in its ongoing administration of its oversight duties. This role is essential in assisting GC&E in evolving the compliance risk management program to ensure the organization adheres to all relevant laws, regulations, and internal policies. The ideal candidate will be self-driven, have expertise in both building and managing analytic design and optimization efforts, ability to coordinate across cross matrixed environments, and is proficient in generating senior-leader ready reporting. Key Responsibilities: Collect, analyze, and interpret complex data from various sources to provide actionable insights. Develop reoccurring reporting that equips GC&E with the data needed to more effectively oversee the compliance framework. Partner with the broader GC&E to define the standards and deliverables to evidence a robust regulatory monitoring program. Drive awareness of regulatory monitoring requirements across the organization, ensuring alignment and accountability. Create reports, dashboards, and visualizations to distill large datasets into clear, concise, and meaningful information for leadership. Present data findings in a compelling way that tells a clear story, helping leadership understand trends, opportunities, and areas for improvement. Foster collaboration by engaging with stakeholders at all levels, understanding their needs, and tailoring data solutions to meet those requirements. Lead and develop a high-performing Regulatory Compliance team, fostering a culture of compliance excellence and continuous improvement. Governance: Designs, oversees, or substantively participates in risk governance structures, supporting clear accountability and decision-making frameworks that align with organizational objectives and regulatory requirements. Change risk management: Assesses, manages, or monitors risks arising from organizational, regulatory or environmental changes, so transitions do not expose the organization to new or unintended risks or lead to non-compliance with laws, regulatory requirements and supervisory expectations. Documentation: Develops and maintains practices and reporting to enable accurate and thorough records of risk management activities, supporting accountability and traceability throughout the risk management process. Risk communication and reporting: Communicates risk data, trends and analysis through structured reports, so key stakeholders, including the board of directors and senior leadership, receive timely, aggregate, accurate, complete and relevant information. Compliance regulatory reporting: Aggregates Compliance risk exposures across products, sectors or regions, and report to regulators in line with regulatory reporting requirements (e.g., SR 08-8, Heightened Standards, FRB LFI, CFPB, UK SMR, UK FCA). Qualifications: Bachelor’s degree required in Analytics, Computer Science, Statistics or related field; JD or Master’s degree preferred. Minimum of 10 years of experience in data analytics. Professional analytics certification preferred (Coursera, Exam DA-100, CAP) Excellent analytical, communication, and presentation skills with the ability to convey analytic results clearly and concisely to senior leadership. Strategic thinking and a being able to act independently in driving day to day operations. Proven track record of managing programs and improving processes within a regulated environment. Ability to manage multiple projects simultaneously and prioritize tasks effectively. Excellent interpersonal skills to influence and collaborate with stakeholders at all levels. Familiarity with regulatory requirements issued by CFPB, Federal Reserve, FDIC and OCC. Compliance Language We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Description: Generative AI Technical Lead Developer: AI + ML+NLP with Generative AI Total Years of Experience: 9-12 Years Location: Bengaluru / Gurugram Position Overview: We are seeking an experienced and dynamic Lead Developer with a strong background in Machine Learning (ML), Artificial Intelligence (AI) and Generative AI to join our team. The ideal candidate will have 9-12 years of hands-on experience in analyzing data, building advanced analytics models, and leveraging cutting-edge AI and Generative AI technologies to derive actionable insights. This role requires a combination of deep technical expertise, strong analytical capabilities, and a proven ability to work in a collaborative and innovative environment. Responsibilities: Architecture Design: Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: Fine-tune pre-trained generative models for domain-specific use cases. Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. Good exposure to Agentic Design patterns Collaboration and Leadership: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Mentor and guide team members on AI/ML best practices and architectural decisions. Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Required Skills: Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Should have strong knowledge on LLMs foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. Proven track record with event-driven architectures and real-time data processing systems. Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. Knowledge of containerization technologies such as Kubernetes and Docker. Comprehensive understanding of data lakes and strategies for data management. Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. Proficiency in cloud computing platforms such as Azure or AWS. Exceptional leadership, problem-solving, and analytical abilities. Superior communication and collaboration skills, with experience managing high-performing teams. Ability to operate effectively in a dynamic, fast-paced environment. • Nice to Have Skills: Experience with additional technologies such as Datadog, and Splunk. Programming languages like C#, R, Scala Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Professional and Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech

Required- Senior Manager Technology | Solution Architect Generative AI Location- Gurgaon and Bangalore Available to join immediately - 30 days ONLY. Bringing 12-18 years of progressive technology experience, including 5+ years architecting AI/ML and Generative AI solutions. Holds a Bachelor's degree in Computer Science or related field; Master's/PG in AI/ML preferred. Proven track record in leading the full lifecycle of enterprise-grade Generative AI solution development across Azure and Google Cloud. Strong full-stack architectural expertise in React, Node.js, and .NET, with a focus on scalable data platforms, secure DevSecOps practices, and delivering exceptional business outcomes. For more details, please share your CV via email [ admin@spearheadps.com] or contact me on WhatsApp/call at [9899080360].

Purpose Of The Position: We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions.. Key Responsibilities : Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. Lead the development of Generative AI solutions, including content generation and automation. Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. Perform data exploration, analysis, and feature engineering to improve model performance. Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner. Required Skills And Qualifications: 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. Knowledge of MLOps and experience deploying models in production environments. Strong problem-solving skills and a deep understanding of statistical methods and algorithms. Preferred Qualifications: Experience with Reinforcement Learning and Recommender Systems personalization techniques. Experience of working with AWS Bedrock services. Familiarity with ethical AI and model bias mitigation techniques. Experience with A/B testing, experimentation, and performance tracking for AI models in production. Prior experience mentoring junior data scientists and leading AI/ML projects. Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. Why Join Us? Opportunity to be part of a rapidly growing, innovative product-based company. Collaborate with a talented, driven team focused on building high-quality software solutions. Competitive compensation and benefits package.

Growexx is looking for smart and passionate Data Scientist/Analyst, who will empower Marketing, Product, Sales teams to make strategic, data-driven decisions. Key Responsibilities Mine, process, and analyse hit/event level web, product, sales, and digital marketing data. Leverage LLMs (Large Language Models) and traditional machine learning to mine, process, and analyze web, product, sales, and digital marketing event-level data. Develop and fine-tune LLM-driven solutions for tasks such as text summarization, customer support automation, personalization, and user journey understanding. Build and deploy predictive models and ML algorithms across structured and unstructured customer profile, journey, and usage datasets. Deploy LLM and ML models into production environments for activation across websites, product applications, and sales/marketing channels. Design and implement model activation strategies, including A/B testing plans, benchmarking studies, and measurement of final business impact. Conduct comprehensive evaluation of LLMs, including performance benchmarking (accuracy, latency, token usage, cost), prompt effectiveness testing, fine-tuning impact analysis, and safety/bias assessments. Design, build, and deploy LLM-based agentic systems using frameworks such as LangChain, AutoGen, CrewAI, or custom orchestration for complex workflows (e.g., multi-agent collaboration, function-calling pipelines, dynamic task execution). Integrate LLM agents with APIs, internal knowledge bases, retrieval systems (RAG architectures), and external tools to enable autonomous or semi-autonomous decision-making. Partner with data engineering teams to enhance and maintain the Customer360 data model, including creating new feature engineering requirements, improving taxonomy, and identifying and resolving data quality issues. Collaborate with cross-functional teams (Enterprise Data Warehouse, Salesforce MOPS, IT, Product, Marketing) to continuously improve data integration and quality for advanced modeling use cases. Build a deep understanding of business models, objectives, challenges, and opportunities by working closely with leadership and key stakeholders. Document model methodologies, evaluation frameworks, agent workflows, deployment architectures, and post-activation performance results in a structured and reproducible format. Stay current with advancements in LLMs, agentic AI, retrieval-augmented generation (RAG), and ML technologies to recommend and implement innovative solutions. Key Skills Experience using Python, SciKit, SQL, Snowflake, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github. Proficient in data mining, advanced statistical analysis, feature engineering, and mathematical modeling. Deep experience with machine learning techniques including supervised, unsupervised, reinforcement learning, causal inference, and predictive modeling. Skilled across the full ML lifecycle: data preparation, feature creation and selection, model training, hyperparameter tuning, evaluation, and deployment for inference/prediction. Extensive hands-on experience with cookie-level advertising and digital marketing data (Google Ads, Bing, Epsilon, LinkedIn, Facebook) for demand generation KPIs such as ROAS, CTRs, impressions, multi-touch attribution (MTA). Proven experience designing, fine-tuning, evaluating, and deploying Large Language Models (LLMs) and generative AI applications. Experience designing and deploying agentic systems using frameworks such as LangChain, AutoGen, CrewAI, and custom function-calling pipelines. Expertise integrating LLM agents with APIs, knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. Strong understanding of evaluation metrics for LLMs, including prompt testing, token optimization, bias/safety analysis, latency, and cost benchmarks. Deep familiarity with cookie-level web and product behavior data (usage metrics, conversion funnels, bounce rates, sessions, hits/events, journey optimization). Expertise in designing and executing A/B, multivariate, and lift tests to measure activated ML/LLM model performance across digital and offline channels. Skilled in gathering business requirements, translating them into ML use cases, and clearly communicating methodologies and results to both technical and non-technical stakeholders. Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks. Preferred: practical experience in an engineering capacity building, testing, deploying, and optimizing ensemble ML and LLM solutions in production environments. Education and Experience B Tech or B. E. (Computer Science / Information Technology) 5 + years as a Data Scientist or similar roles.

We are looking for DS Gen AI Lead with Azure Cloud experience. Location - PAN India Experience - 12+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG, Azure and Open AI Job description Deep understanding of RAG Open AI LLM embedding models Good knowledge of Vector database and how it works Experience in designing solutions Ability to do research for use cases and discuss various approaches with pros and cons Evaluate and recommend appropriate AI technologies and frameworks Lead the development and mentor development team in technical challenges Understanding of Data privacy concerns in GenAI application Excellent communication skills Ability and willingness to work late hrs as needed by business

What You'll Do As a Principal Talent Acquisition Partner , you will help build world-class technology and business teams. You will be the trusted advisor to hiring managers, guiding end-to-end hiring strategies, across India and global markets. The role will report to Director TA Job Location: Remote What Your Responsibilities Will Be Strategic Talent Partnering: You will collaborate with business leaders and hiring managers to define hiring strategies aligned with our workforce needsfrom entry-level to Director-level roles. Full-Cycle Recruitment: Own the end-to-end recruitment process, including sourcing, interviewing, negotiating offers, and onboarding, across technology and business functions. Market Expertise: Leverage knowledge of Indian talent marketsincluding Tier 1/Tier 2 engineering campuses and senior tech leadership poolsto attract top talent. Talent Analytics: Use data and talent intelligence to guide hiring decisions, report on pipeline health, and improve recruitment strategies. Leadership Hiring: Build scalable programs for hiring across all levelsfrom mid to seasoned architects and executive roles. Employer Branding: You will Partner with marketing and HR to strengthen our employer brand across digital channels, campuses, and talent communities. Global Collaboration: You will work in cross-cultural teams across geographies; bring sensitivity and awareness to diverse work styles and backgrounds. Tech Hiring: You will Understand the nuances of hiring for AI/ML, data engineering, and SaaS platform roles, and use modern sourcing and assessment tools. Diversity & Inclusion: You will Guide inclusive hiring practices and build diverse candidate pipelines. Process Improvement: You will enhance recruitment workflows, candidate experience, and talent engagement practices using feedback and data. What You'll Need to be Successful 15+ years of experience in talent acquisition, with a track record in technology hiring. Experience the Indian hiring landscape and global recruiting environments. 15+ years of experience sourcing tools (e.g., LinkedIn Recruiter, ATS platforms), analytics dashboards, and hiring technologies. MANDATORILY FROM GLOBAL PRODUCT FIRMS have hired senior tech leads, architects and technologies - Generative AI, product security, SaaS, cloud

- Support the development of internal web applications and tools. - Help build and maintain backend services. - Contribute to frontend development using React.js or Vue.js. - Assist in setting up and managing cloud-based infrastructure.

Hiring: Automation Development Engineer (Python Automation + AI) Location: Bangalore (Work from Office) Experience: 5+ Years Job Description: We are hiring for an Automation Development role involving Python-based workflow automation, analytics dashboard creation, approval flows, and notification systems. The role also includes working on AI APIs, RAG techniques, and AI Agentic Architectures . Key Skills: Python Automation Development AI API Integration, RAG Techniques, AI Agentic Architecture System Design Expertise Protobuf, Blaze, PLX, Spanner, JavaScript, APIs Source Control Management (Git preferred) Google Cloud Platform (GCP) knowledge preferred Profile Requirements: Bachelors or Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering 5+ years of hands-on experience in Software Development / Automation Proficient in Python automation, workflow development, and system design Exposure to AI-driven architectures and related technologies Familiarity with distributed systems and database tools like Spanner Strong problem-solving and debugging skills

Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of statistical analysis and machine learning algorithms.

Our client INFOSYS is looking for ServiceNow Developer with Generative AI Experience position with 5+ Years of experience in INDIA location CONTRACT TO HIRE AND WORK FROM OFFICE Job Description : Having experience on ServiceNow Developer Having experience on Generative AI

Job Title - GN - SONG - MT Transform Marketing Organization- Manager Management Level :7 Manager Location:Delhi, Gurgaon, Mumbai, Bangalore Must have skills:Marketing Strategy, Marketing Transformation Good to have skills:Marketing Job Summary : As part of the team, you will provide transformation services driven by key offerings like Transformative Marketing, Martech, Brand & Creative and Scaled Marketing Services enabled by Generative AI and next gen capabilities. These services help our clients become living businesses by optimizing their marketing, sales and service strategy and organization model, thereby enabling a powerful & efficient marketing-led growth engine, driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of the team, you will drive the following Roles & Responsibilities: Deep dive across projects helping CMO organization to drive superior performance through relevance :You will leverage the comprehensive suite of analytics, consulting and strategy solutions that Accenture offers to enable large scale transformation vision and strategy and delivering capabilities that enable improved marketing performance, cost effectiveness and create relevant consumer experiences on a massive scale Use extensive experience of hands-on roles in customer value management, customer lifecycle management :Work across customer segmentation marketing, customer behavior analysis and channel management Design new campaign strategies and strategizing marketing plans across all channels and devices: Lead marketing assessment, KPI and definition, solution and vendor assessment for different marketing technologies including Pega Develop business case for marketing use cases and solutions: Gather business requirements, designing process & solution for implementation of marketing solutions Manage full spectrum of Marketing program execution :Right from strategy definition to technical delivery, work with real time marketing concepts like next best offer/ action, event-based marketing Design interventions to drive customer acquisition / customer engagement: Monitoring trends, analyzing data, to optimize marketing campaigns along with exposure to analytical and data visualization tools Identify marketing process improvement opportunities :Developing business case for boosting marketing capabilities, campaign strategies, and innovative solutions to drive growth Bring your best skills forward to excel at the role: Bring your creativity and innovation to the forefront to be able to work in a fast-paced environment :Ability to abstract detail into larger patterns, familiarity with user-centered analysis and evaluation techniques Deep dive across projects helping CMO organization to drive superior performance through relevance: You will leverage the comprehensive suite of analytics, consulting and strategy solutions that Accenture offers to enable large scale transformation vision and strategy and delivering capabilities that enable improved marketing performance, cost effectiveness and create relevant consumer experiences on a massive scale Use extensive experience of hands-on roles in customer value management, customer lifecycle management :Work across customer segmentation marketing, customer behavior analysis and channel management Design new campaign strategies and strategizing marketing plans across all channels and devices: Lead marketing assessment, KPI and definition, solution and vendor assessment for different marketing technologies including Pega Develop business case for marketing use cases and solutions: Gather business requirements, designing process & solution for implementation of marketing solutions Manage full spectrum of Marketing program execution :Right from strategy definition to technical delivery, work with real time marketing concepts like next best offer/ action, event-based marketing Design interventions to drive customer acquisition / customer engagement: Monitoring trends, analyzing data, to optimize marketing campaigns along with exposure to analytical and data visualization tools Identify marketing process improvement opportunities: Developing business case for boosting marketing capabilities, campaign strategies, and innovative solutions to drive growth Bring your best skills forward to excel at the role: Bring your creativity and innovation to the forefront to be able to work in a fast-paced environment: Ability to abstract detail into larger patterns, familiarity with user-centered analysis and evaluation techniques Use strong analytical skills with the ability to drive results-oriented decisions :Data-driven mindset within proven utilization of information to drive decisions, calibrate and results. Client handling skills to develop, manage and deepen relationships with key stakeholders Team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals Leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members Data-driven mindset within proven utilization of information to drive decisions, calibrate and results. Client handling skills to develop, manage and deepen relationships with key stakeholders Team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals Leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members Additional Information: Qualification Experience: Overall experience of 10+ years with at least 7+ years of experience in driving modern Marketing Organizations and data-driven growth strategies. Strategic advisory experience with ability to put proven frameworks to action to conduct as-is diagnostics and drive visioning workshops with senior stakeholders and leadership teams. Experience in leading marketing strategy, vision, philosophy, brand architecture, brand stage models, seamless integrated marketing process workflows, organization design, change strategies and workforce skilling strategies. Hands on experience in developing customer research design & execution, insight led always-on performance engines, customer Journey specific campaigns and offers, hyper-personalized customer experiences that deliver business value. Experience in working with industry leading Mar-tech tools such as Adobe, Microsoft, Salesforce, among others along with new age Gen AI agentic solutions Influencing skills to drive change agenda on behalf of the CXOs leveraging structured and proven change management frameworks & principles Experience in multi-disciplinary design involving channels, people, process, policy, compliance/controls and technology Understanding of marketing processes and operating models Experience in working across multiple industries including FMCG, Retail, Financial Services, Telecom, Communication, Software & Platforms Strong experience in shaping and driving engagements and ability to lead project teams Educational Qualification: MBA from a tier 1 institute

Must have:- • Strong communicator, from making presentations to technical writing • Experience in financial domain preferably in the areas of Financial accounting and Risk. • Strong data analysis and validation experience with attention to detail and understanding patterns • Good understanding of Credit Risk, workflow and reporting solutions • Have a flair for technology and are adept at leveraging the latest tools and technologies to increase team productivity and collaboration across dispersed teams • Experience in Python, SQL and PL/SQL (Oracle) and writing queries, scripts. • A real passion for and experience of Agile working practices, with a strong desire to work with baked in quality subject areas such as TDD, BDD, test automation and DevOps principles • Experience using DevOps toolsets like GitLab • Has prior experience of working on databases and usage of SQL to perform data analysis, preferably cloud technologies • Familiar with Azure Native Cloud services, software design and enterprise integration patterns. • Experience working with / exposure to NLP, Gen AI, ML and data modelling projects, a plus • Has prior experience of working on IT projects and has knowledge and experience of software development life cycle using Agile methodology • Is well structured, very reliable and dedicated; has high attention to detail, has ability to handle a significant number of dependencies and issues ensuring nothing is missed out. • Has excellent written and verbal communication skills, inter-personal and negotiation skills • Ability to work as part of a global team with multiple delivery teams and engage with stakeholders at various levels • Able to challenge the status quo and if required have the ability to push-back demands from stakeholders with right justification • Someone with a general ability to pick up information quickly and turn around deliverables under pressure • A team player with excellent people management skills • Takes ownership of tasks assigned to ultimate resolution • Accuracy and timeliness of delivering solutions using the best IT standards and practices

Educational Requirements Master Of Engineering,Master Of Science,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology Service Line Cloud & Infrastructure Services Responsibilities As an Infra AI Automation Programmer you will work on design, development, and deployment of AI systems that generate content or data, often using techniques such as deep learning, neural networks, and generative models using Python backend coding. Meet with clients in and remotely to understand their business objectives, challenges, and identify potential use cases for Generative AI. Assess the client's existing technology infrastructure, data landscape, and AI maturity to determine the feasibility and best approaches for Gen AI adoption. Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions (e.g., content creation, customer service, product development, marketing).Gen AI Strategy and Solution Design: Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases, implementation plans, and expected business outcomes. Design Gen AI solutions architecture, considering factors such as model selection (e.g., large language models (LLMs), diffusion models), data requirements, integration with existing systems, and scalability. Evaluate and recommend appropriate Gen AI platforms, tools, and APIs (e.g., OpenAI, Google AI, Azure AI, open-source libraries) relevant to the client's needs and the Indian market. Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications. Additional Responsibilities: Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Technical and Professional Requirements: At least 2+ years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow, Pytorch, Langchain and Prompt Engineering Experience with vector databases and retrieval-augmented generation (RAG). Familiarity with MLOps principles and tools for deploying and managing Gen AI models. Understanding of ethical considerations and responsible AI frameworks. Understanding of data structures, data modelling , SQL & NOSQL Object oriented and functional programming & GIT Knowledge of basic algorithms and object-oriented and functional design principles Deep Knowledge of Mathematics, Probability, Statistics, and Algorithms Good Communication skills Good analytical and problem-solving skills Preferred Skills: Technology->Machine Learning->TensorFlow Technology->Machine Learning->Python Technology->Machine Learning->Generative AI

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you! In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models. What Makes Our AI/ML Practice Unique: Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Job Summary: We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling. In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack. Core Requirements: At least 6 years of experience working with geographically distributed teams 2+ years of experience working in a client-facing role on AI/ML . Demonstrable experience in leading a substantive area of work, or line management of a team. Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc. Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models. Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred. Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects. Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS. Business Understanding, Stakeholder management and Team leading skills. Strong practical expertise in Python and SQL needed for data science projects. Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!

We are seeking a highly skilled and experienced AI/ML Lead to spearhead the development and execution of our AI build plan and investment strategy. The ideal candidate will possess a deep understanding of AI/ML technologies, strong leadership abilities, and a proven track record of delivering successful AI initiatives. Responsibilities : AI Build Plan Development : - Conduct in-depth analysis of business requirements and identify AI/ML opportunities to drive growth and efficiency. - Develop a comprehensive AI build plan outlining strategic objectives, technology roadmap, and resource allocation. - Prioritize AI initiatives based on business impact, feasibility, and ROI. - Collaborate with cross-functional teams to align AI strategy with overall business goals. AI Investment Strategy : - Define AI investment criteria and evaluate potential AI projects for funding. - Develop financial models to assess the ROI of AI initiatives and justify investments. - Manage AI budget allocation and track spending against the approved plan. AI Team Leadership : - Build and lead a high-performing AI team of data scientists, machine learning engineers, and other AI professionals. - Provide technical guidance and mentorship to team members. - Foster a culture of innovation and experimentation within the AI team. AI Model Development and Deployment : - Oversee the development and deployment of AI models across various business domains. - Ensure the quality, accuracy, and scalability of AI models. - Monitor model performance and implement necessary improvements. Technology Evaluation and Adoption : - Stay up-to-date with the latest advancements in AI/ML technologies. - Evaluate new AI tools and platforms to identify potential benefits for the organization. - Drive the adoption of AI technologies across the enterprise. Required Qualifications : - Strong proficiency in Python, C++, and deep learning frameworks (Keras, TensorFlow, PyTorch, etc.) - Extensive experience in machine learning algorithms (CNNs, RNNs, LSTMs, Seq2seq) and neural network architectures. - Proven ability to create and optimize AI models for various use cases. - Deep understanding of performance and accuracy metrics for different AI models. - Experience with AI model optimization for CPUs and GPUs. - Knowledge of machine learning accelerators and related software. - Excellent communication and interpersonal skills. - Strong analytical and problem-solving abilities. - Experience with open-source tools for AI model optimization (TF/ONNX/PyTorch). - Exposure to GenAI technologies and their potential applications. Preferred Qualifications : - Experience in leading AI projects from inception to deployment. - Knowledge of cloud platforms (AWS, Azure, GCP). - Experience with big data technologies and tools. - A Master's or Ph.D. degree in computer science, statistics, or a related field.

Role & responsibilities AI developer with Web, Mobile, AI, Android, Flutter, PHP, REACT-NODE, python-django, ML/DL Internships are available For Junior developers, we will train you in live AI/IOT/Web/Mobile projects. Full time opportunity after Successful Internships. Additional training will be provided for freshers along with Master degree enrollments. Preferred candidate profile Fast self learner. AI with Full stack exposure to REACT,NODE,JSP, PHP-Laravel, Python-django, Android, etc . Good understanding of complex Data base and SQL with healthcare and business application exposure is required.

We are seeking a Data Scientist with 2 to 5 years of experience to join our AI/ML team. The ideal candidate will work under the guidance of a team lead to develop and implement machine learning solutions, with a focus on Natural Language Processing (NLP) and generative AI applications. Key Responsibilities: Develop and maintain NLP models and chatbot solutions under the direction of the team lead Implement machine learning algorithms and deep learning models using Python Process, clean, and validate data to ensure high-quality model inputs Create and optimize generative AI solutions for various business applications Collaborate with team members to improve existing models and develop new solutions Document technical processes and maintain codebase Participate in code reviews and team discussions Debug and troubleshoot models to improve performance Monitor model performance and implement necessary updates Prepare and briefing for client presentation Candidate Specification: Bachelor's degree in Computer Science, Data Science, or related field 2+ years of professional experience in data science or machine learning Experience with large language models and transformer architectures Familiarity with chatbot development using RASA (preferable) or other platform Knowledge of MLOps practices and tools Familiarity with cloud platforms (AWS/Azure/GCP) Knowledge on REST APIs Background in implementing production-grade ML solutions Strong proficiency in Python programming Hands-on experience with NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Knowledge of chatbot development and conversational AI Understanding of generative AI concepts and applications Familiarity with version control systems (e.g., Git) Strong analytical and problem-solving skills Technical Skills: Programming Languages:Python (required) ML/AI Frameworks: TensorFlow, PyTorch, scikit-learn NLP Tools: NLTK, spaCy,Hugging Face Transformers Version Control: Git Data Processing: Pandas, NumPy Development Tools: VS Code Soft Skills: Excellent oral and written communication skills Good at client interaction and client communication Presentation skill Good comprehension and articulator Strong team player with ability to take direction from lead Detail-oriented approach to problem-solving Ability to work in a fast-paced environment Good time management skills Eagerness to learn and adapt to new technologies Perks and Benefits: 5 days working Good work environment Great learning opportunity Work life balance

Mandatory Skills : Python, Machine Learning Models, Flask, Data Visualization Tools. Good to have : Gen AI, NLP, Cloud (AWS) etc Notice Period : Immediate - 30 days Relevant Experience : 5+ Years in Machine Learning Responsibilities : - Design, develop, and deploy machine learning models and algorithms. - Perform data analysis to extract insights and identify patterns. - Develop and implement feature engineering processes to enhance model performance. - Collaborate with data scientists and cross-functional teams to understand business requirements and translate them into technical solutions. - Build and maintain scalable data pipelines and infrastructure. - Develop and deploy machine learning applications using Flask, FastAPI, or Django. - Conduct experiments, model tuning, and evaluate model performance using appropriate metrics. Must-Have Skills : - Python and its libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). - Experience with web frameworks such as Flask, FastAPI, or Django. - Strong understanding of machine learning algorithms and techniques. - Experience with data visualization tools (e.g., Matplotlib, Seaborn). - Strong problem-solving skills and ability to work independently as well as in a team. - Excellent communication skills to effectively convey technical concepts to non-technical stakeholders. Good-to-Have Skills : - Experience with cloud platforms, particularly AWS. - Knowledge of MLOps practices and tools. - Experience with Natural Language Processing (NLP) techniques. - Exposure to Generative AI (GenAI) technologies.

- Data Scientist -6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. -Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. -Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. -Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. -Familiarity with vector databases and embedding techniques. -Experience deploying models using APIs, Docker, and cloud platforms -Strong analytical, problem-solving, and communication skills. -Experience in ML Ops, Model deployment, Model lifecycle and management

We are seeking a skilled and innovative AI Agent Developer to design, build, and maintain autonomous AI agents capable of performing complex tasks using large language models (LLMs), APIs, and structured environments. The ideal candidate will have a strong foundation in software engineering, experience with AI frameworks, and a passion for building intelligent, adaptive systems. Immediate joiners will be preferred. Key Responsibilities: • Design, develop, and deploy AI agents capable of autonomous decision-making and task execution. • Integrate agents with LLMs (e.g., OpenAI GPT, Claude, Mistral) and external APIs for dynamic reasoning and action. • Implement memory, planning, and tool-use capabilities in agent architectures. • Collaborate with data scientists and backend engineers to optimize performance and scalability. • Monitor and evaluate agent behavior, adapting systems based on real-world feedback. • Contribute to research and innovation on agent frameworks and human-AI interaction models. Required Skills & Qualifications: • Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. • 5+ years of experience with Python, AI/ML frameworks (LangChain, AutoGen, etc.), or agent-based modeling. • Experience with RESTful APIs, cloud platforms (AWS, Azure, GCP), and vector databases (e.g., Pinecone, Weaviate). • Understanding of reinforcement learning, planning algorithms, and prompt engineering. • Excellent problem-solving and communication skills. Preferred Qualifications: • Experience building agents in environments like ReAct, AutoGPT, BabyAGI, or custom frameworks. • Background in cognitive architectures, multi-agent systems, or human-in-the-loop systems. • Exposure to ethical considerations and safety in autonomous AI systems. Interested candidates share resume at meenakshi.middha@alcortech.com with CCTC,ECTC and notice period details.

Roles & Responsibilities: •Experiment and Develop: You will drive the end to end machine learning project lifecycle using best practices and well managed software delivery •Lead the design and development of virtual assistants using Conversational AI platforms •Leads efforts to foster innovative ideas for developing high impact solutions. •Helps in design and develop advanced analytic solutions across unctional areas as per requirement/opportunities. •Participate in discussions with business stakeholders to identify business challenges that can be solved with AI/ML. •Use LLM technologies for projects and provide technical assistance for others regarding LLM and GenAI usage. •Support and advise teams on best practices regarding LLM usage and GenAI technologies. Specifically geared towards NLP use cases. •Lead complex and technically challenging projects from concept to completion •Mainly in the Area of AIOps - Clustering, classification, Anomaly detection, capacity prediction •Understand the requirements and design the conversational flows. •Develop Intent and Entities for chatbot. Preferred Profile: 8-10 years of experience in implementing AI/ML models in enterprise systems In-depth understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, anomaly detection, and large language models. Proficiency in Python and experience with relevant libraries and frameworks (Pandas, Numpy, Tensorflow etc.) At least 5 years of relevant experience in design, development, and deployment of conversational bots Experience working with Observability tools like Prometheus,Splunk, Datadog & Grafana. •Experience in NLP (Natural Language Processing) & NLU (Natural Language Understanding), ML (Machine Learning), Conversational AI •Integrate bot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions. •Experience with web services integration •Excellent troubleshooting and analytical skills in a complex, distributed environment. •Excellent communication, presentation and collaboration skills. •Self-starter with ability to work independently