254 Ml Algorithms Jobs - Page 8

Execute and support R&D activities leveraging metadata from multiple databases, ETL/ELT products, reporting tools etc. Develop, test, and deploy Python and SQL-based solutions to automate and optimize operational processes. Data Analysis & Reporting Required Candidate profile Provide hands-on programming support for AI-driven initiatives. Mastery in Python Programming Advanced SQL Proficiency analytical methodologies, statistical concepts, and data visualization techniques

Location: Gurgaon, Noida, Bangalore, Chennai Primary Responsibilities: WHAT Business Knowledge: Capable of understanding the requirements for the entire project (not just own features) Capable of working closely with PMG during the design phase to drill down into detailed nuances of the requirements Has the ability and confidence to question the motivation behind certain requirements and work with PMG to refine them Design: Can design and implement machine learning models and algorithms Can articulate and evaluate pros/cons of different AI/ML approaches Can generate cost estimates for model training and deployment Coding/Testing: Builds and optimizes machine learning pipelines Knows & brings in external ML frameworks and libraries Consistently avoids common pitfalls in model development and deployment HOW Quality: Solves cross-functional problems using data-driven approaches Identifies impacts/side effects of models outside of immediate scope of work Identifies cross-module issues related to data integration and model performance Identifies problems predictively using data analysis Productivity: Capable of working on multiple AI/ML projects simultaneously and context switching between them Process: Enforces process standards for model development and deployment Independence: Acts independently to determine methods and procedures on new or special assignments Prioritizes large tasks and projects effectively Agility: Release Planning: Works with the PO to do high-level release commitment and estimation Works with PO on defining stories of appropriate size for model development Agile Maturity: Able to drive the team to achieve a high level of accomplishment on the committed stories for each iteration Shows Agile leadership qualities and leads by example WITH Team Work: Capable of working with development teams and identifying the right division of technical responsibility based on skill sets Capable of working with external teams (e.g., Support, PO, etc.) that have significantly different technical skill sets and managing the discussions based on their needs Initiative: Capable of creating innovative AI/ML solutions that may include changes to requirements to create a better solution Capable of thinking outside-the-box to view the system as it should be rather than only how it is Proactively generates a continual stream of ideas and pushes to review and advance ideas if they make sense Takes initiative to learn how AI/ML technology is evolving outside the organization Takes initiative to learn how the system can be improved for the customers Should make problems open new doors for innovations Communication: Communicates complex AI/ML concepts internally with ease Accountability: Well versed in all areas of the AI/ML stack (data preprocessing, model training, evaluation, deployment, etc.) and aware of all components in play Leadership: Disagree without being disagreeable Use conflict as a way to drill deeper and arrive at better decisions Frequent mentorship Builds ad-hoc cross-department teams for specific projects or problems Can achieve broad scope 'buy in' across project teams and across departments Takes calculated risks Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: B.E/B.Tech/MCA/MSc/MTech 5+ years of experience working on multiple layers of technology Experience deploying and maintaining ML models in production Experience in Agile teams Working experience or good knowledge of cloud platforms (e.g., Azure, AWS, OCI) Experience with one or more data-oriented workflow orchestration frameworks (Airflow, KubeFlow etc.) Familiarity with traditional software monitoring, scaling, and quality management (QMS) Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.) Knowledge of model versioning and deployment using tools like MLflow, DVC, or similar platforms Hands-on knowledge of OpenSource adoption and use cases Good understanding of Data/Information security Proficient in Data Structures, ML Algorithms, and ML lifecycle Product/Project/Program Related Tech Stack: Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch Programming Languages: Python, R, Java Data Processing: Pandas, NumPy, Spark Visualization: Matplotlib, Seaborn, Plotly Familiarity with model versioning tools (MLFlow, etc.) Cloud Services: Azure ML, AWS SageMaker, Google Cloud AI Design, implement, and maintain CI/CD pipelines for MLOps and DevOps function Good knowledge in Engineering Practices Demonstrated excellent problem-solving skills Demonstrated excellent verbal, written, and interpersonal communication skills

Build & deploy real-time ML/AI models, analyze data, prototype features, and integrate AI via OpenAI/Gemini APIs. Req: Python, Java, TF, AWS, NLP, pipelines, comms. Bonus: MLOps, LLMs, certs. Bachelors+ in CS/Data Science preferred. Accessible workspace

Role AI Architect Client Trianz D&AI Practice Employment Type Employee Work location India ? Hyderabad or Bangalore Work mode Trianz Office - Hybrid Trianz Grade 6 / 10 ? 15 years / Solutions Architect About Trianz Standard Job Summary The Advanced Analytics and AI Offering Lead is responsible for the definition, development, and go-to-market strategy of cutting-edge analytics and AI solutions for our D&AI practice. You will be an industry expert and develop market-leading, disruptive AI solutions that provide real value and transformation to our customers. You will develop and maintain key partnerships with relevant vendors and technologies that ensure best-in-class solution offerings. You will collaborate with other cross-functional teams to ensure their offerings meet the high demands of your solutions. Job Responsibilities Offering Definition & Delivery: Own the D&AI Practice Language Model & Gen AI + Composite AI & ML Ops offerings, ensuring that they are fully defined and meet industry best standards. Meet Practice revenue objectives. Innovation & Demonstration: Proactively identify disruptive, value-driven use cases and apply them throughout the customer?s journey with Trianz. Lead our AI & Innovation team?s activities to develop PoVs and PoCs that demonstrate value and drive revenue. Solution Design & Delivery: Design and deliver industry-best, responsible AI solutions. Organization-wide collaboration to ensure AI is at the forefront of thinking. Enablement and mentorship of AI-related project delivery. Salesforce Enablement: Ensure that our salesforce competently partners with clients to help advance their AI analytic strategy. Vision & Strategy: Ensure the D&AI Practice?s AI vision, strategy and point-of-view aligns with industry-leading AI best practice technologies, patterns and philosophies. Client Engagement: Regular collaboration and partnership with clients to understand their challenges and needs and respond with responsible AI solutions that transform and drive value. Lead and support proposal development. Leadership: Serve as company-wide AI and Advanced Analytics expert and advise on AI-related initiatives as needed. Manage and mentor Practice AI resources, ensuring quality delivery. Creativity: Be an out-of-the-box thinker and passionate about applying your skills to new and existing solutions alike while always demonstrating a customer-first mentality. Mandatory Qualifications At least 10+ years of experience in advanced analytics, AI, or data science roles, with a proven track record of leading and delivering large-scale AI/ML solutions. 5+ years of leadership experience, managing cross-functional teams, mentoring data scientists, and overseeing project delivery. 5+ years of Experience with driving strategy and executing data-driven solutions within large organizations. Strong understanding and hands-on experience with AI/ML algorithms, deep learning, MLOps and data analytic technology and techniques. Proficiency in programming languages like Python, R, or Scala, and experience with ML frameworks such as TensorFlow, PyTorch, Keras. Competency in delivering AI-solutions to cloud platforms like AWS, Azure, or GCP using native and 3rd party services and technologies. Knowledge of Big Data technologies (e.g., Hadoop, Spark, Kafka) and data processing tools. Familiarity with various industry domains such as retail, healthcare, financial services, manufacturing, or other sectors where AI and analytics solutions are prevalent. Demonstrated AI marketplace knowledge and applicability. Collaboration and management experience with technology partners (e.g., AWS, Azure, Google Cloud) to develop joint solutions. Practical understanding and experience related to data governance, privacy laws (e.g., GDPR, CCPA), and ethical AI practices. Experience ensuring regulatory compliance and implementing governance frameworks in AI & analytic solutions. Demonstrated, adept communication skills, matching with needs from C-level and technical stakeholders alike. Excellent people and self-management skills demonstrating ability to multitask goals and activities. Additional / Nice-to-have Qualifications Cloud platform (AWS preferred) and relevant AI-related certifications. Required Education Master?s/Bachelor?s degree (or higher) in a relevant field such as Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related discipline. Why Join Us? please share and review with Ben K before publishing Travel Requirement (%) Periodic / infrequent travel as required for In-person client meetings Company culture / focus events Training and/or alliance needs Initial Screening Questions Initial Rejection Screening Questions Does candidate does meet mandatory AI and ML experience requirements? If no, reject Does candidate communicate clearly in English? If no, reject Prioritization Questions (Candidates with highest points should receive highest ranking in progressing)

Job Purpose: Looking to hire Strategy research analyst to be part of Research Services team. Successful candidate will be responsible for strategy research, quantitative modelling, portfolio building, database management, thematic presentations, as well as handle numerous one-off client and team requests. Desired Skills and experience MBA/CFA with undergraduate degree in Math/Stats/Eco/Engg 5-7 years of experience, ideally in sell-side strategy research. Strong problem-solving and analytical skills, including proficiency in programming (Python) , data analysis (Statistics), and financial modeling. Expertise in retrieving and analyzing information from FactSet and Bloomberg. Ability to multitask, prioritize, and excel in a fast-paced, challenging environment. Excellent communication and presentation skills in English. Key Responsibilities Conduct research and analysis on companies, industries, and markets by integrating quantitative and fundamental methods. Perform top-down and bottom-up analysis of equity markets. Assist in Factor and Style Research to generate alpha in equity m arkets. Analyze large datasets to identify trends, patterns, and insights using data science, machine learning, and quantitative techniques. Communicate findings through clear visualizations and presentations. Manage client requests promptly and efficiently, ensuring high-quality service and quick resolution of inquiries.

Required Skills: Absolute clarity in Machine Learning models and Algorithms Must have hands-on experience in NumPy, Pandas, TensorFlow, and Keras, etc Knowledge of data preprocessing, feature engineering, model training, and evaluation Excellent written and verbal communication and presentation skills. Roles and responsibilities: Maintain and improve existing projects Collaborate with the technical team to develop new features and troubleshoot issues Lead projects to understand the requirements and distribute work to the technical team Follow the project/task timelines and quality.

ABOUT THE ROLE The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen’s Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization. You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment. Key Responsibilities Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others. Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc. Develop and maintain evaluation metrics and frameworks for prompt engineering. Collaborate with business stakeholders to identify AI/ML opportunities, ensuring alignment between technical solutions and business goals. Lead the development of MLOps pipelines for model deployment, monitoring, and lifecycle management. Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases. Build retrieval algorithms for relevant data identification to support LLMs and AI applications. Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture. Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI. Share insights and findings with team members in an Agile (SAFe) environment. Basic Qualifications Doctorate degree OR Master’s degree and 4–6 years of experience in Software Engineering, Data Science, or ML Engineering OR Bachelor’s degree and 6–8 years of experience OR Diploma and 10–12 years of experience Preferred Qualifications Proven experience developing and deploying LLM applications. Strong foundation in ML algorithms, data science workflows, and NLP. Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control). Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks. Understanding of RESTful APIs and frameworks like FastAPI. Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash). Knowledge of GxP compliance and experience working in regulated environments. Domain experience in healthcare, biotech, or life sciences is a plus. Strong communication skills with the ability to explain complex topics to diverse audiences. High degree of initiative, self-motivation, and ability to work in global teams.

Hiring for Senior Data Science Experience- 15 Years Position Title - Senior Data Scientist Experience- 15+ years total, 10+ in data and analytics, 6+ in data science Mandatory Skills- Advanced understanding of data modelling, statistical methods and machine learning techniques Advanced understanding of big data, data mining and visualization techniques Experience in unstructured data analysis and natural language processing Experience in any AIOps software Grok, Moogsoft, DataDog etc. Experience in different types of databases – SQL, noSQL, hierarchical databases Experience in data oriented programming languages R, Python etc. Work location- Bangalore Shift – Regular shift IF interested please share your profile on- ekta11.kumari@global.ntt Please share profiles with below details Total exp - Rel Exp NP - C CTC - E CTC - C Location. Preferred candidate profile Role & responsibilities Preferred candidate profile

Job Title: Part-Time Data Scientist (Contract) Location: Gurgaon Experience Required: 6+ years Job Description: We are seeking an experienced and highly skilled Data Scientist/AI Developer for a part-time, contract-based position in Gurgaon. The ideal candidate will have extensive experience in Generative AI , Deep Learning applications, and Conversational AI systems , with a focus on creating innovative solutions using cutting-edge technologies. We are looking for a professional who can not only deliver exceptional results but also mentor team members, guide junior professionals, and help build and grow our AI/ML practice to new heights. Key Responsibilities: Develop and deploy advanced conversational AI systems and chatbots using the RASA framework . Integrate Large Language Models (LLMs) and Retrieval-Augmented Generation (RaG) techniques to enhance chatbot capabilities. Design and implement AI-driven solutions that align with client objectives, ensuring seamless performance and functionality. Build and optimize natural language processing models, including intent recognition , slot filling , and entity recognition . Collaborate with cross-functional teams to deliver scalable, cloud-based deployments and CRM integrations, such as Salesforce. Utilize frameworks and tools like LangChain , Google Dialogflow , OpenAI (LLaMA, GPT) , and Whisper ASR for efficient AI development. Leverage expertise in Prompt Engineering , Transformers , and advanced Natural Language Understanding (NLU) for robust AI system development. Employ containerization and deployment technologies like Docker and Kubernetes for streamlined development workflows. Required Skills & Qualifications: Programming Languages: Expert in Python. AI/ML Frameworks: Proficient in RASA, Google Dialogflow, IBM Watson, OpenAI tools (LLaMA, GPT), and LangChain. Natural Language Processing: Strong expertise in Transformers, Intent Recognition, Slot Filling, and Entity Recognition. Generative AI: Proven experience with LLMs and Retrieval-Augmented Generation (RaG). Tools & Technologies: Familiarity with Docker, Kubernetes, Git, and Whisper ASR. CRM Integration: Hands-on experience with Salesforce integration. Other Skills: Prompt Engineering, Cloud-based Deployments, and Bot Frameworks. Experience: Minimum 6 years of professional experience in AI, ML, and Conversational AI systems. Demonstrated ability to deliver innovative AI solutions tailored to business needs.

Mode - Work from Office No of Days 5days of working Shift Timing – 2.00pm to 11.00pm Location - Kochar Tower, V Floor, No. 19, Venkatnarayanan Road, T. Nagar, Chennai 600 017 Please share your updated resume to proceed further. Roles and Responsibilities Develop machine learning models to solve specific business problems. Collaborate with data scientists to fine-tune algorithms and improve accuracy. Deploy ML models into production environments using frameworks like Django. Write clean, maintainable code in Python, focusing on AI and ML development. Work with large datasets to train machine learning models. Implement APIs in Django for serving predictions made by ML models. Analyse and interpret complex data to derive insights and support decision-making. Design and implement machine learning models to analyse trends and patterns. Use Django to build data-driven applications that visualize results. Develop and maintain AI models and systems that help automate tasks. Work on natural language processing, computer vision, or other AI subfields. Use Django to create user interfaces for AI model interactions. Build end-to-end applications, integrating front-end and back-end technologies. Implement machine learning and AI features in web applications built with Django. Ensure that applications are scalable and maintainable. Manage the deployment and scaling of machine learning models in production. Use containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes) for AI solutions. Monitor and optimize resource usage for machine learning applications built with Django. Use Django to create RESTful APIs for accessing ML model predictions and integrating with other systems. Implement testing strategies to ensure the quality and performance of algorithms and applications. Collaborate with data scientists to fine-tune algorithms and improve accuracy. Write clean, maintainable code in Python, focusing on AI and ML development. Proficiency in Python, as well as familiarity with frameworks like Django for web development. Understanding of machine learning concepts, algorithms, and best practices. Experience with data libraries such as Pandas, NumPy, and visualization tools like Matplotlib or Seaborn. Familiarity with Git for version control. Knowledge of deployment techniques and cloud platforms (e.g., AWS, Google Cloud) for hosting applications. Strong communication skills to help convey technical details to non-technical stakeholders of Form

Play the role of Data Analyst / ML Engineer Collection, cleanup, exploration and visualization of data Perform statistical analysis on data and build ML models Implement ML models using some of the popular ML algorithms Required Candidate profile Only BTech and BE candidates. Hands-on development experience playing the role of Data Analyst and/or ML Engineer. Experience in working with excel for data analytics

We are hiring a Python Developer to support and enhance Headstaart’s core backend infrastructure. You will work on high-impact features like real-time analytics, secure document handling, subscription services, and API integration.

About Amgen Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Scientist What you will do The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen’s Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization. You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment. Key Responsibilities Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others. Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc. Develop and maintain evaluation metrics and frameworks for prompt engineering. Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases. Build retrieval algorithms for relevant data identification to support LLMs and AI applications. Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture. Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI. Share insights and findings with team members in an Agile (SAFe) environment. What we expect of you Basic Qualifications: Master’s degree and 2 – 4 years of experience in Software Engineering, Data Science, or ML Engineering or Bachelor’s degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering or Diploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering Preferred Qualifications: Experience in developing and deploying LLM applications. Strong foundation in ML algorithms, data science workflows, and NLP. Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control). Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks. Understanding of RESTful APIs and frameworks like FastAPI. Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash). Knowledge of GxP compliance and experience working in regulated environments. Strong communication skills with the ability to explain complex topics to diverse audiences. High degree of initiative, self-motivation, and ability to work in global teams. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. 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 :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:I.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.II.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.III.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, AvayaIV.Integrate with IVR systems and Proficiency in webhook setup and API integration.V.Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.VI.Creation of agents in Agent builder and integrating them into end end to pipeline using python.VII.Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.VIII.Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilitiesIX.Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.X.Document technical designs, processes, and setup for various integrations.XI.Experience with programming languages such as Python/Node.js Professional & 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:1 The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.2 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. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. 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:I.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.II.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.III.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, AvayaIV.Integrate with IVR systems and Proficiency in webhook setup and API integration.V.Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.VI.Creation of agents in Agent builder and integrating them into end end to pipeline using python.VII.Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.VIII.Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilitiesIX.Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.X.Document technical designs, processes, and setup for various integrations.XI.Experience with programming languages such as Python/Node.js Professional & 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:I.The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.II.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. Qualification 15 years full time education

Hi, Job Details: Provide expert job support or on-the-job training in Data Science, Data Engg, AWS, ML, AI & more. 10+ years of Exp in relevant technology, Get paid hourly for your expertise. Contact: Bala +91 82960 46895 / bala@onjob.in

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 7.5 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. Qualifications Total 15 years of full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : NA 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.js Professional & 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 years full time education is required Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. 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.js Professional & 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 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 years full time education is required Qualification 15 years full time education

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.js Professional & 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

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 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.js Professional & 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, 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

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.js Professional & 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

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 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a seasoned Senior Manager – CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms. Roles & Responsibilities: Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries. Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities. Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI. Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms. Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions. Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization. Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies. 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms. Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture.Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents. Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals. Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems. Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus. Exceptional communication, thought leadership, and stakeholder management skills. Professional & 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, NLP and techniques. Experience with chatbot, generative AI models, prompt Engineering.V- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 18+ 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

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.js Professional & 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

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.js Professional & 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