363 Ml Algorithms Jobs

About Zscaler Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We're looking for an experienced Staff Machine Learning Software Engineer to join our digital experience team . Reporting to the Director, you'll be responsible for: Leading identification and resolution of performance issues by developing advanced AI/ML models that pinpoint root causes of poor experience and detect performance bottlenecks for users Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points in the digital experience Implementing advanced AI/ML algorithms to detect and forecast anomalies in user experience across multiple dimensions Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders What We're Looking for (Minimum Qualifications) A Bachelors or Master’s(preferable) degree in Computer Science, Data Science, Statistics, or a related field with 6+ years of professional experience in data science or a related role Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks Strong experience with networking and end-point observability systems Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets Strong experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow What Will Make You Stand Out (Preferred Qualifications) Published research or contributions to digital experience/end-user observability/networking/ data science community Demonstrated experience in the monitoring space, with a deep understanding of user experience metrics, monitoring tools, and methodologies Experience with designing complex systems and scaling ML models on large scale distributed systems #LI-Hybrid #LI-AN4 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

As an innovative and highly skilled AI/ML Specialist, your role will involve designing, developing, and deploying advanced machine learning and artificial intelligence solutions to tackle complex business challenges. You should have expertise in machine learning algorithms, deep learning frameworks, and AI model deployment, along with the ability to work with large datasets to deliver impactful, scalable solutions. **Key Responsibilities:** - Design, develop, and optimize machine learning and deep learning models for various use cases. - Collect, preprocess, and analyze structured and unstructured datasets to prepare them for model training. - Select appropriate algorithms and techniques based on problem requirements and business objectives. - Build end-to-end AI/ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment. - Implement and optimize models using frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn. - Deploy models into production environments using cloud platforms (AWS SageMaker, Azure ML, GCP AI Platform) or on-premises solutions. - Monitor, maintain, and retrain models to ensure long-term accuracy and performance. - Collaborate with cross-functional teams to integrate AI/ML solutions into products and workflows. - Stay updated with the latest advancements in AI, ML, NLP, and computer vision to drive innovation. **Required Technical Skills:** - Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). - Solid understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures (CNNs, RNNs, Transformers). - Experience with NLP frameworks (Hugging Face, SpaCy, NLTK) and/or Computer Vision libraries (OpenCV, YOLO, Detectron). - Proficiency in data wrangling and feature engineering for high-quality datasets. - Knowledge of model deployment strategies using APIs, containers (Docker), and orchestration tools (Kubernetes). - Familiarity with big data tools (Spark, Hadoop) for large-scale data processing. - Understanding of MLOps practices, CI/CD pipelines, and model monitoring tools. **Preferred Qualifications:** - Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. - Experience in domain-specific AI (healthcare, finance, manufacturing, etc.). - Exposure to generative AI models (LLMs, Stable Diffusion, GPT-based systems). - Understanding of data privacy and AI ethics. As an AI/ML Specialist, you should exhibit strong problem-solving and analytical skills, excellent communication and presentation abilities, and the ability to work collaboratively in cross-functional teams. A passion for continuous learning and innovation will be key to success in this role.,

AI/ML projects LLMs/SLMs, MCP architecture,RAG pipelines,Vector DBs,Agentic AI workflows and automations Python, R TensorFlow, PyTorch, Keras, Scikit-learn, & cloud-based AI services AWS SageMaker, Azure ML send cv - sairamglobal.hr@gmail.com Required Candidate profile Education 15 years full time regular study Notice period : 0 to 45 days Good Communication skills required Loc: Bangalore, Hyderabad, Chennai Exp Docs should be clear with PF and Bank Statement

**Role Overview:** As an AI Model Developer, you will be responsible for designing, developing, and implementing cutting-edge machine learning algorithms and models, with a focus on NLP, Generative AI, and other AI technologies. You will stay updated with the latest advancements in machine learning and artificial intelligence, conducting research to identify new techniques and approaches to enhance AI solutions. Analyzing large and complex datasets to extract meaningful insights using statistical analysis and machine learning techniques will be a key part of your role. **Key Responsibilities:** - Collaborate with cross-functional teams, including software engineers and data scientists, to effectively integrate machine learning models into applications and systems. - Optimize machine learning algorithms for performance, scalability, and efficiency, identifying and resolving bottlenecks for smooth execution. - Evaluate the performance of machine learning models using appropriate metrics, ensuring accuracy and reliability through rigorous testing and validation. - Document the development process, algorithms, and models, preparing clear and concise technical documentation for reference and knowledge sharing. - Conduct cost/benefit analysis, business case development, prioritize requirements, and create conceptual prototypes and mock-ups. - Master strategic business process modeling, traceability, and quality management techniques. - Demonstrate strong verbal and written communication and presentation skills, effectively communicating analytical outcomes to both business and technical teams. **Qualifications Required:** - Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). - Familiarity with Finance & Accounting principles and/or project accounting. - Experience in developing and implementing machine learning models, particularly in NLP and Generative AI. - Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. - Strong understanding of deep learning architectures, algorithms, and frameworks. - Experience with natural language processing techniques, sentiment analysis, text summarization, and related NLP tasks. - Familiarity with generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). - Bachelor's degree in computer science, Information Management/IT, Statistics, Business Administration, or related disciplines. - Master's Degree in Statistics, Business Administration, or related disciplines is a plus. - Certifications in Data Analytics & Data Science are a plus. - Must have 1+ years of experience working on ML algorithms and related products. - Must have 1+ years of experience working with relational databases (Oracle), query authoring (SQL). - Experience in Business Intelligence tools like Qlik Sense, Tableau, Power BI is a plus. - Strong Knowledge in ERP (Oracle EBS: Projects, AR, AP Modules). **Additional Company Details (if applicable):** CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as CDM Smith) reserves the right to require background checks including criminal, employment, education, licensure, etc., as well as credit and motor vehicle checks for certain positions. Background checks are conducted post-offer in the United States. The timing of background checks for positions outside the US will vary. Criminal history will not automatically disqualify a candidate.,

Role Purpose The role is responsible for ensuring the implementation of strategies & policies to ensure portfolio growth, maintaining delinquencies within benchmarks through regular tracking mechanisms together with designing and launching new campaigns to achieve organization goals. Role Accountability 1. Maintain & sustain profitability in Encash Portfolio and delinquency rates below benchmark levels 2. Offer encash & CLI to low and marginal-risk segments, which act as an NEA builder for the portfolio 3. Effective Utilization of data from other bureaus to offer encash to customers 4. Track & monitor portfolio performance and take corrective actions to maintain the portfolio delinquency within benchmark rates 5. Identify opportunity or stress segments in the portfolio and take appropriate actions(+ve and -ve actions) 6. Conduct data analytics, modeling, and segmentation for portfolio management 7. Cull out segments to optimize the x-sell coverage of the portfolio 8. Promote customer-driven actions (increase income-driven limit assignment) 9. Create and monitor portfolio Performance dashboard on time every month 10.Review transaction declines daily and highlight the gaps and abnormal pattern 11.Support the implementation of all regulatory guidelines and network enhancements 12.Drive portfolio management initiatives through the credit cycle management framework by working in partnership with marketing, IT, operations and collection team 13.Deploy AI /ML /Automation techniques in business processes to enhance process efficiency and customer experience 14.Manage the exit process of all secured cards with partner banks 15.Support management of existing relationships and future implementation of any new card network - Visa/Mastercard/Rupay/Amex/JCB Measures of Success 1. Maintain portfolio loss rates and delinquencies within the defined benchmarks 2. Maintain authorization success rate within the defined benchmarks 3. Design and launch of Campaigns to increase cross-sell as per plan 4. Process Adherence as per MOU Technical Skills / Experience / Certifications 1. Expertise in Data Analytic & Modelling 2. Strong understanding of the cards business dynamics that will drive the analysis 3. Expertise in data analytics and system tools such as SAS,TRIAD,V+,Python 4. Knowledge of Card networks, Access Control System Competencies critical to the role 1. Stakeholder Management 2. Written and verbal Communication 3. Analytical Skills & Problem Solving 4. Process Orientation 5. Agility & responsiveness Qualification Master's degree in economics, statistics or business management /Any equivalent PG Degree Preferred Industry FSI

As a highly skilled MLOps Engineer at UPS, you will design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). Your responsibilities will include automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. Your role will involve collaborating with technical teams and business stakeholders to develop cutting-edge machine learning systems that add value to the business. Responsibilities: - Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems. - Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias. - Troubleshooting and resolving problems, maintaining documentation, and managing model versions for audit and rollback. - Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders. - Optimization of queries and pipelines. - Modernization of applications whenever required. Qualifications: - Expertise in programming languages like Python, SQL. - Solid understanding of best MLOps practices and concepts for deploying enterprise-level ML systems. - Understanding of Machine Learning concepts, models, and algorithms including traditional regression, clustering models, and neural networks (including deep learning, transformers, etc.). - Understanding of model evaluation metrics, model monitoring tools, and practices. - Experience with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc. - Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications. - Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining. - Bachelor's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications: - Experience in Azure MLOPS. - Familiarity with Cloud Billing. - Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features. - Experience working in an Agile environment, understanding of Lean Agile principles. UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.,

Data Science Senior Advisor Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. Whats more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Senior Advisor on our Pricing Analytics Team under Client Solutions Group located in Bangalore . What youll achieve As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: •Collaborate with internal and external teams to understand customer requirements •Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights •Develop and drive testing of algorithms efficacy for differing analytical use-cases •Performs end-to-end steps involved in model development while establishing subject-matter expertise •Work with the academic and business community to develop new techniques and to contribute to research in the area of large databases Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements •8 to 12 years of related experience •Solid statistical skills. ML exp, LLM models •Solid Python Programming •Good understanding of business environment and industry trends •Good communication and problem-solving skills and being customer focused Desirable Requirements •Bachelor’s degree •Ability to act as a coach to the team •Strong product/technology/industry knowledge

Responsibilities: Collaborate with business stakeholders to understand and refine data-related questions and requirements Utilize advanced analytics to uncover hidden insights in large datasets and provide actionable recommendations. Design and implement data models and algorithms to support data-driven decision making. Investigate internal and external data sources to determine availability, quality, and relevance Identify, collect, and analyze relevant data needed to address specific business challenges Propose solutions to close data gaps. Define data structures, formats, and transformation logic needed to support reporting and analytics. Leverage data science techniques to uncover trends, patterns, and correlations in large datasets. Apply data science techniques to automate data validation processes and enhance data integrity. Conduct thorough quality assurance checks on data to ensure accuracy and reliability. Present findings and insights clearly to business stakeholders. Stay current with emerging trends and technologies in data research, business intelligence, and data science. Skills: 5+ years hands-on work experience in the domain of data science & analytics (work experience in IT, software engineering, data engineering or any other areas is to be treated as extra and optional). Proficient in AI/ML algorithms and implementation experience with Python libraries. (Pandas, Numpy, scikit-learn, TensorFlow, Keras) Data mining & preparation using Python. Proficient in statistical analysis to drive decisions. Build and verify hypothesis based on abstract problem statement. Practical experience with Databricks for writing and deploying code through jobs and pipelines. Proficiency SQL (programming languages) for data science related assignments. Experience on building and deploying pipelines in Microsoft azure. Design and implement Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA. Fine-tune and evaluate Large Language Models for industry-specific tasks. Proficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face. Deep understanding of LLMs, prompt engineering, and transformer architectures. Educational background in Math / Statistics / Engineering / Science. Strong communication and teamwork abilities, with the ability to convey complex technical concepts to non-technical stakeholders.

GraphRAG & Agent Systems, design, build and deploy production-ready GraphRAG (Graph + Retrieval-Augmented Generation) systems and autonomous AI agents, Develop and maintain robust data ingestion pipelines, Fine-tune and prompt engineer

Strong programming skills in Python, R, or other data science languages. Experience with SQL and NoSQL databases. Familiarity with machine learning frameworks and cloud services Experience with data visualization tools e.g.Tableau, Power BI

About The Role Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scalable AI solutions that leverage deep learning, neural networks, and advanced chatbot/voice bot technologies. You should have strong hands-on experience in building and optimizing conversational experiences using Google Dialogflow CX, Agent Assist, and other Google Cloud AI services.Roles & Responsibilities:- Lead end-to-end solutioning, design, and implementation of AI/ML-powered applications using Google CCAI tools and GCP services.- Architect scalable conversational AI solutions including chatbots and voice bots using Dialogflow CX, Agent Assist, and Gen AI APIs.- Collaborate with cross-functional teams including UX, data science, and engineering to deliver impactful AI products.- Drive innovation by integrating advanced models such as LLMs, NLP, and neural networks to elevate conversational capabilities.- Oversee performance tuning, testing, and optimization of AI solutions in real-world production environments.- Stay current with Google AI/ML advancements and incorporate best practices into the solution lifecycle.- Proven experience in designing and deploying AI/ML and conversational AI systems on Google Cloud Platform.- Expertise in Dialogflow CX, Agent Assist, and other CCAI tools.- Solid understanding of Gen AI technologies, NLP techniques, and machine learning frameworks.- Strong architecture and solution design experience within GCP ecosystem.- Hands-on experience in building and optimizing production-ready chatbots and voice applications.- Excellent problem-solving, communication, and leadership skills.- Experience with programming languages such as Python/Node.jsProfessional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot, generative AI models, prompt Engineering.Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 15+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15 year full time education is required Qualification 15 years full time education

About Company: Talent Formula is a consulting firm that offers outsourced financial and accounting talent to Chartered Accounting firms worldwide. We are currently sourcing for Data Scientist. We are looking for a candidate who is enthusiastic, can fit in the team with the following requirements.We are looking for a Data Scientist with strong software engineering capabilities to join our team. This is a key role in helping us unlock the power of data across our platform and deliver valuable insights to hospitality businesses. You will work on projects ranging from statistical modelling and anomaly detection to productionizing ML pipelines (ranged from time series forecasting to neural networks and custom LLMs), integrating with Django and Flask-based web applications, and building data products on Google Cloud using PostgreSQL and BigQuery, as well as ML routines in Databricks/VertexAI. This role is ideal for someone who thrives in a cross-functional environment, enjoys solving real-world problems with data, and can contribute to production-grade system Note: This is an office-based role Responsibilities of the role: Build and deploy data-driven solutions and machine learning models into production. Collaborate with engineers to integrate models into Django/Flask applications and APIs. Develop and maintain data pipelines using Python and SQL. Proactively seek to link analytical outputs to commercial outcomes Provide technical expertise for proof-of-concept (PoC) and minimum viable product (MVP) phases Clean, transform, and analyse large datasets to extract meaningful insights. Write clean, maintainable Python code and contribute to the platforms architecture. Work with cloud-native tools (Google Cloud, BigQuery, Cloud Functions, etc.). Participate in sprint planning, stand-ups, and team ceremonies as part of an Agile team. Document MLOps processes, workflows, and best practices to facilitate knowledge sharing and ensure reproducibility Youll fit right in if you Have 1 2 years of experience in a data-centric or backend software engineering role. Are proficient in production Python, including Django or Flask, and SQL (PostgreSQL preferred). Are curious, analytical, and love solving data problems end-to-end. You demonstrate a scientific and design-led approach to delivering effective data solutions Have experience with data modelling, feature engineering, and applying ML algorithms in real-world applications. Can develop scalable data pipelines and integrate them with cloud platforms (preferably Google Cloud). Communicate clearly and can collaborate across technical and non-technical teams. You are self-motivated and can work as an individual and in a team You love innovation and are always looking for ways to improve Have an MLOps experience (mainly, regarding time-series forecasting, LLM and text analysis, classification & clustering problems) Position Description Data Scientist: It would be fantastic (but not essential) if you Hold a degree in data science, mathematics, statistics, or computer science. Have experience with BigQuery, VertexAI, DBT, Databricks, or Terraform. Are familiar with containerisation and serverless architecture (Docker/Kubernetes/GCP). Have worked with BI tools or data visualization frameworks (e.g. Looker, PowerBI). Have exposure to financial data systems or the hospitality industry. Preferred technical skill set: Google Cloud Platform (BigQuery, VertexAI, Cloud Run) Python (Django/Flask) Azure (MS SQL Server, Databricks) Postman (API development) DBT, Stored procedures ML (time-series forecasting, LLM, text analysis, classification) Tableau/Looker Studio/Power BI

UHG is seeking a solid information security professional to join our Red team. This role will design and deliver realistic adversarial cyberattacks that will not only test the effectiveness of the security stack but will improve the companys ability to detect and respond to these types of attacks. Youll enjoy the flexibility to work remotely from anywhere as you take on some tough challenges. Primary Responsibilities: Participate in the planning, design and implementation of assessments and plans Perform full scope adversarial simulation/red team assessments against AI systems Work with the Blue Team in order to develop new and improved ways to defend the organization Prepare reports containing attack paths, findings/vulnerability information, and mitigation options and recommendations Present findings to various stakeholders, including the most senior leadership of the company Provide support during ongoing assessments by writing tools and setting up infrastructure Creating automation for specific tasks and operations Research, investigate and evaluate emerging technologies, industry trends and best practices, and vendor solutions to be able to recommend and assess various security products Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Youll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: 1+ relevant information security certification(s) such as OSCP, OSCE, GPEN, GXPN etc. 7+ years of experience 2+ years of hands-on work experience conducting offensive security operations Experience with scripting and coding Experience working in complex, diverse and global (international) environments Proven excellent written and verbal communication skills Proven adversarial mindset and critical thinking skills Preferred Qualifications: 2+ years of experience working in AI/ML algorithms and architecture. 2+ years of experience with scripting, editing existing code, and general programming concepts using one or more of the following: PowerShell, JavaScript, Perl, Python, VB, bash, C/C++, C#, or Java Experience Implementing cyber adversarial TTPs Experience in other IT functions - system administration, software development, SOC, forensics, hunt, networking, etc. Experience with using, administering, and troubleshooting major operating systems (Windows, Linux/UNIX) Experience in testing and assessing cloud environments Experience with blue team tools and methods Knowledge of AI security testing standards or frameworks, such as the MITRE ATLAS Framework

Role & responsibilities Build predictive models for demand-driven inventory allocation and replenishment. Develop optimization models to maintain healthy stock levels across warehouses, stores, and channels. Analyze sell-through rates, lead times, and inventory turnover to recommend actions. Create dashboards and tools for real-time visibility into inventory health. End-to-end model development from data collection to deployment and monitoring. Partner with supply chain, logistics, and merchandising teams to implement insights. Preferred candidate profile 3+ years of experience in inventory optimization or supply chain analytics . Proficiency in Python, Pandas, NumPy, PySpark, SQL . Knowledge of forecasting, optimization models, and ML algorithms . Strong understanding of supply chain dynamics and demand-supply alignment . Retail or e-commerce industry experience preferred. Experience in end-to-end model development and deployment .

Role & responsibilities Experience on Agentic AI/ Frameworks Strong programming skills in languages such as Python, SQL/NoSQL etc. Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc. Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. Knowledge of math, probability, and statistics. Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms. Exposure in developing API using Flask/Django. Good experience in cloud infrastructure such as AWS, Azure or GCP Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model) Preferred candidate profile Must Know Skills : Python, Machine Learning, Fask/Fast API, SQL, OpenAI Models + Preferred Skills : Agentic AI Frameworks : LangChain, LangGraph / AutoGen, Embeddings, Vector DB, LLM with excellent communication skills.

Job Title Ind & Func AI Value Strategy Consultant S&C GN Management Level: 09 - Consultant Location: All locations Must have skills: ML algorithms, NLP and Predictive Analytics, Conversational Analytics, Python, Cloud Knowledge (Azure/AWS/GCP), Proficiency in BI tools (Power BI/Tableau/ Qlik Sense/ThoughtSpot/Figma etc.). Leverages artificial intelligence and machine learning techniques to enhance BI processes along with consulting experience of AI driven BI Transformations (Defining BI Governance, Operating model, Assessment Framework etc.) Good to have skills: Knowledge of Gen AI Models implementation (Open AI, Mistral, Phi-2, Solar, Claude 3 etc.), Agentic architecture implementation About S&C - Global Network :- Accenture Strategy & Consulting Global shapes our clients future, combining deep business insight with the understanding of how technology will change industry and business models. Our focus on issues related to business intelligence, Analytics and data insights using AI & GEN AI strategy and solutions. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network teams complement our in-country teams to deliver innovative expertise and measurable value to clients all around the world. WHATS IN IT FOR YOU? Youll be part of a diverse, vibrant, BI Strategy team which has dynamic and innovative group of creating Data and BI Strategy & Consulting professionals. We understand the vision and mission of our customers & help them by developing innovative BI Strategy with value driven use cases, roadmap & technological solutions that drive business growth and innovation. As a key pillar of our organization, the Engineering Products team worked on various fields from BI , Data & AI perspective- BI Strategy, AI Enabled BI Strategy, Data Modelling, Data Architecture, Industry & AI Value strategy etc. that helps our customers in setting up strong data platform foundation & target roadmap to scaling & evolve towards achieving AI/GEN AI & advanced analytics vision to meet the evolving future needs of technology advancement. What you would do in this role Participate in visioning workshop & develop innovative BI Strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to BI , BI Governance , AI enabled BI and Operating Model , Develop target strategy with respect to Business Intelligence, Tools & Technology, BI Operating Model, BI Governance, AI Enabled BI needs along with Key initiatives & roadmap. Propose best suited LLMs (Large Language Model-GPT 3.5, 4, Llama etc.) as per the selection criteria framework & serve as a trusted advisor to our clients, offering expert guidance on AI Enabled BI Propose adoption strategies that resonate with BI and plan persona-based BI strategy for enterprise function. Work closely with cross-functional teams to co-create and implement innovative . He should be able to define personas and persona journey from functional and technical aspects with respect to Business Intelligence Able to architect , delivery and design BI Enabled AI solutions that address the complex challenges faced by customers and businesses. Participate in client engagements with confidence and finesse, overseeing project scope, timelines, and deliverables to ensure seamless execution and maximum impact. Facilitate engaging workshops and training sessions to empower BI Client stakeholders with the knowledge and skills needed to embrace Data driven transformation enabled through AI. Stay abreast of emerging BI , Data and AI analytics trends and technologies, continuously improving internal capabilities and offerings. Participate in BI, AI Enabled BI and Analytics aligned solutions and client demos. Who are we looking for? Years of Experience: Candidates should typically have at least 6-9 years of experience in BI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing BI strategies for clients across various industries. Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Add eligibility: Strong analytical and strategic thinking skills are essential for this role. Candidates should be able to assess clients' business processes, technologies, BI, AI and data infrastructure to find opportunities for BI and AI Enabled BI integration and develop tailored BI strategy frameworks aligned with clients' goals. Displayed expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning. Candidates should have a solid understanding of AI concepts, algorithms, and their applications in solving real-world business problems. Excellent communication and presentation skills are crucial for effectively articulating complex technical concepts to non-technical stakeholders. Candidates should be able to convey AI strategy recommendations in a clear, concise, and compelling manner. Knowledge of cloud computing services (AWS, Azure, GCP) related to scaled AI and data analytics solutions. The ability to collaborate effectively with cross-functional teams is essential for this role. Candidates should be comfortable working with diverse teams to design and execute AI solutions that address clients' business challenges and deliver measurable results. Candidates should have a strong understanding of Gen AI preferences, behaviors, and values. Candidate should have understanding & working knowledge of various large language models to propose and implement best suited LLMs to our customer based on AI strategies that resonate with Gen AI Working experience with machine learning algorithms and statistical modeling techniques. Knowledge on MLOPs tools and services from strategic mindset will be a plus. Desired experience. Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients. Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart. Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery. Minimum 4 years strong working experience AI implementation lifecycle & working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring. Tools & Techniques Knowledge of UI/UX design using React, Angular & Visualization tools-Power BI/Tableau/Qlik Sense Knowledge on Cloud and native services around AI & GEN AI implementation-AWS/Azure/ GCP Have worked hands on Programming languages such as Python, R, SQL or Scala. Working knowledge AI and analytics platforms and tools, such as TensorFlow, PyTorch, KNIME, or similar technologies Working Knowledge on NLP (Natural Language Processing) techniques-text summarizer, text classification, Named Entity Recognition etc. Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc., Knowledge on LLMs-Open AIGPT, Llama Index etc. Knowledge of ML Ops deployment, process tools & strategy (ML Flow, AWS Sage maker etc. Qualification Experience: Minimum 4 year(s) of experience is required Educational Qualification: B.Tech/BE

Dear Applicant, We are looking for a self-driven Python Developer with 4-6 years of experience to design, develop, and scale web applications and backend systems. The ideal candidate should be comfortable working in production environments, bringing strong problem-solving skills and experience with databases. Collaboration with AI teams is a key part of the role , so a background or interest in AI/ML will be highly valued. Key Responsibilities: Develop and maintain Python applications to address operational business needs. Work on production-grade systems, ensuring scalability, performance, and reliability. Collaborate closely with the AI team to integrate machine learning models and AI-based features into the backend. Write clean, efficient Python code, following best practices (PEP 8) and design patterns. Utilize frameworks like Django, Flask, or FastAPI for web applications and API development. Develop and maintain RESTful APIs for seamless integration with front-end systems and third-party services. Participate in code reviews and contribute to high-quality software. Unit testing with frameworks such as PyTest to ensure quality and reduce defects. Troubleshoot and resolve application issues, providing timely fixes and optimizations. Optimize for speed and scalability of applications to handle high traffic. Collaborate with cross-functional teams (Front-end, DevOps, QA) to ensure a smooth development cycle. Document code, processes, and best practices for knowledge sharing and onboarding. Stay current with Python trends and technologies, continually improving technical skills. Technical Skills Required: Python: Strong hands-on experience with Python (3.x), object-oriented programming (OOP), and design patterns. Web Frameworks: Expertise in Django, Flask, or FastAPI. Databases: Proficient in working with SQL (PostgreSQL, MySQL) API Development: Deep understanding of building RESTful APIs and integrating with external services. Version Control: Proficient in Git and Git workflows. Unit Testing: Experience writing tests with PyTest, Unittest, or similar frameworks. Cloud Services: Experience with AWS is a must . Containerization: Familiarity with Docker and Kubernetes. CI/CD: Experience setting up and managing CI/CD pipelines using Jenkins, GitLab CI, or CircleCI. Message Brokers: Exposure to RabbitMQ, Kafka, or Celery for background task processing. Security Best Practices: Knowledge of securing APIs, encryption, and ensuring data privacy. Exposure to AI/ML and Data Science (Preferred): Familiar with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn. Data manipulation skills using Pandas, NumPy, and Matplotlib. Exposure to data pipelines, integrating Python with AI/ML models. Experience in model deployment and serving machine learning models via APIs. Understanding of statistical analysis, data modeling, and analytics techniques.

Job Title: Sr. AI/ML Engineer-Gen AI Location: Bangalore Experience: 4+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition&aposs: Recognition and rewards programs in place to celebrate your achievements and contributions. To find out more about us, head over to our Website and LinkedIn Show more Show less

Job Description Data Scientist/Data Analyst/ Data Engineer About the Role: We are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in SQL, Excel, Power BI, Python, PySpark, and data pipelines. You will be responsible for analyzing complex data sets, creating excel reports and Power BI dashboards, developing predictive models, and providing actionable insights to drive business decisions. Responsibilities: Collect, clean, and analyze data from various sources. Design and maintain data pipelines to ensure data quality and integrity. Develop and maintain reports and dashboards in excel and Power BI. Utilize SQL and Python and PySpark for data manipulation and analysis. Identify trends, patterns, and anomalies in data sets. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. Communicate findings and insights to stakeholders through reports and presentations. Develop and implement predictive models using machine learning techniques. Qualifications: Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or a related field. Proven experience as a Data Scientist/Analyst or similar role. Proficiency in SQL, Excel, Power BI, Python and PySpark. Experience with data pipeline design and implementation. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Preferred Skills: Knowledge of machine learning frameworks. Experience with Azure cloud platform. Experience with data visualization tools like Power BI. Job Description – Data Scientist/Data Analyst/ Data Engineer Location: Optum Noida Job Type: Full-time About the Role: We are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in SQL, Excel, Power BI, Python, PySpark, and data pipelines. You will be responsible for analyzing complex data sets, creating excel reports and Power BI dashboards, developing predictive models, and providing actionable insights to drive business decisions. Responsibilities: Collect, clean, and analyze data from various sources. Design and maintain data pipelines to ensure data quality and integrity. Develop and maintain reports and dashboards in excel and Power BI. Utilize SQL and Python and PySpark for data manipulation and analysis. Identify trends, patterns, and anomalies in data sets. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. Communicate findings and insights to stakeholders through reports and presentations. Develop and implement predictive models using machine learning techniques. Qualifications: Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or a related field. Proven experience as a Data Scientist/Analyst or similar role. Proficiency in SQL, Excel, Power BI, Python and PySpark. Experience with data pipeline design and implementation. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Preferred Skills: Knowledge of machine learning frameworks. Experience with Azure cloud platform. Experience with data visualization tools like Power BI.

About the Role We are a fast-growing healthcare technology company building innovative cloud-based solutions. We are seeking a Senior Software Engineer with strong Python development skills and experience in Azure Cloud to help design and implement scalable, secure, and high-performance systems. The ideal candidate will work closely with cross-functional teams to build data pipelines, APIs, and cloud-native applications supporting mission-critical workflows. Key Responsibilities Design and develop backend services and APIs using Python (FastAPI, Django, Flask). Implement scalable and secure cloud solutions using Azure services such as App Services, Functions, Storage, and SQL. Collaborate with teams to define architecture, ensure performance, and troubleshoot complex issues. Integrate with AI/ML frameworks and data services while adhering to security and compliance guidelines. Mentor junior developers and participate in code reviews and design discussions. Help build automation, monitoring, and CI/CD pipelines for efficient deployment. Skills & Experience Required 5+ years of software development experience with Python Strong experience working with Azure Cloud services and deployment pipelines Expertise in designing APIs, data pipelines, and scalable backend systems Good knowledge of security practices, data encryption, and compliance frameworks Ability to work independently and guide teams on technical challenges Excellent problem-solving and communication skills Preferred / Additional Skills Experience in regulated industries such as healthcare or insurance Familiarity with OCR pipelines, data extraction, or ML/AI integration Knowledge of HIPAA or similar compliance frameworks Hands-on experience with containerisation (Docker, Kubernetes) and CI/CD tools

Role Overview: We are seeking a Machine Learning Data Scientist with hands-on experience in building, training, and deploying ML models that solve real-world business problems. The ideal candidate should be proficient in ML algorithms, feature engineering, model evaluation, and deployment, with strong programming and statistical skills. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Mandatory Skills: Strong proficiency in Python for ML. Good understanding of statistics, probability, and hypothesis testing. Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch). Hands-on with data wrangling, feature engineering, and preprocessing. Practical experience with at least one cloud ML platform (Azure ML, AWS SageMaker, or GCP Vertex AI). Experience with model deployment and lifecycle management (MLflow or similar). Preferred technical and professional experience Good to Have: Experience with NLP (transformers, embeddings) or Computer Vision (CNNs). Exposure to Databricks MLflow & Feature Store. Familiarity with big data frameworks (Spark, Databricks, Hadoop). Experience with real-time ML inference pipelines.

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots.Roles & Responsibilities:- Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.- Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.jsProfessional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques.- Experience with chatbot , generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots.Roles & Responsibilities:- Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.- Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.jsProfessional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques.- Experience with chatbot, generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : Total 15 years of full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots.Roles & Responsibilities:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Ensure proper cloud application pipeline with production-ready quality.Professional & Technical Skills: - Must To Have Skills: CCAI hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques.- Experience with chatbot , generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 4 -7.5 years of experience in Google Cloud Machine Learning Services and overall experience 7.5 - 9 years- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- This position is based at our Bengaluru office. Qualification Total 15 years of full time education

About The Role Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools.Roles & Responsibilities:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.jsProfessional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot , generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education