333 Ai Platform Jobs - Page 4

Shift - 6 pm to 3 am (Night Shift) Experience -5-7 yrs Location - Remote About the Role Were looking for a Senior SEO Specialist who thrives at the intersection of flawless execution, client-first SEO delivery, and AI-powered workflows. In this role, you will play a pivotal part in translating strategic direction into real, measurable impact from executing AIO frameworks and tracking KPIs to owning delivery, insights, and recommendations that shape business outcomes. You will be the bridge between strategy and execution, someone who understands why something is recommended and knows exactly how to make it work month-over-month. Youre a Fit If You Thrive on precision, process, and proactive performance tracking Know how to convert strategy into execution without losing the nuance Have worked across global SEO campaigns SaaS, eCommerce, D2C, marketplaces, etc.) Are confident in AI-first SEO, Topical Authority, LLM workflows, and schema-led content optimization Love collaborating with strategy, tech, and content teams while maintaining client visibility Your Toolkit SEO Tools: GA4, GSC, Semrush, Ahrefs, Screaming Frog AI & AIO: ChatGPT, Jasper, SurferSEO, NeuronWriter Reporting & Data: Looker Studio, funnel dashboards, content vs. traffic analysis Execution Utilities: Prompt libraries, internal QA templates, content briefs, schema generators Key Responsibilities SEO Execution & Delivery Create and Execute SEO roadmaps across global clients with precision, clarity, and outcome ownership Own and manage all aspects of organic search delivery, including on-page, technical, off-page coordination, and content optimization Conduct AIO-based SEO execution: prompt-led briefings, schema-first content, and zero-click optimization structures Data-Driven Insight & Reporting Build Looker Studio dashboards and monitor GA4/GSC/keyword tools to track campaign KPIs Translate funnel-stage data TOFUMOFUBOFU into actionable SEO changes Provide audit-backed performance insights: AI-overview readiness, crawl health, keyword gaps, topical authority coverage QBRs & Client-Facing SEO Reviews Support quarterly business reviews with data-backed summaries, performance deep-dives, and recommendations Be the execution lead in client calls highlight what was done, how it moved the needle, and what's next Proposal Support & Pre-Sales Involvement Work with internal teams on pitching decks and strategic execution plans Translate scope into effort estimates, timelines, and tools for execution clarity SEO Systems, Automation & Tools Leverage platforms like ChatGPT, SurferSEO, Screaming Frog, Semrush, and NeuronWriter to scale delivery Implement prompt libraries, keyword mapping systems, and automated schema workflows

GrowReal Investment Services (Noida) seeks a dynamic graduate (fresher3 yrs) for digital marketing, content, client servicing & lead generation. Must know social media & basics of finance. Salary 510k. Apply: admin@growreal.in / +919236376070 Annual bonus

Please Note-Only serving candidates upto September appreciated. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in Computer Science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST Hybrid Role & responsibilities Preferred candidate profile Work Experience: 3-6years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Strong proficiency in Java, Spring/Spring Boot, and REST APIs. Experience with AI-assisted coding tools (GitHub Copilot, ChatGPT, Tabnine, or similar). Hands-on experience with Git/GitHub and CI/CD tools. Python ,Numby ,Pandas

Your Career As a Senior Staff AI Engineer for Enterprise AI Solutions, you will be part of a team responsible for hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). This role demands deep technical expertise, a strong ability to solve complex problems, and leveraging our Enterprise AI Platform to deliver measurable business impact Your Impact AI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications Platform Development: Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems System Optimization: Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications Architectural Best Practices: Best practices & design principles of software & AI architecture Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions Responsible AI & Quality: Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring Innovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs Qualifications Your Experience 7+ (Bachelors) / 5+ (Masters) years in software engineering, with 2+ years in AI/ML solutions or platform development Hands-on expertise in building and deploying enterprise-grade AI/ML systems Understanding of the AI lifecycle: data, training, evaluation, deployment, and monitoring Experience with distributed systems, streaming data, data lakes, and real-time decision engines Generative AI & LLMs: Experience with LLMs, multi-modal models, RAGs, and agentic AI systems Proficiency in AI/ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS SageMaker, Google Cloud AI, Azure ML) Strong programming skills (Python, Java) Excellent communication skills Bachelor's or Master's degree in Computer Science or related field System-Level Thinking: Demonstrated ability to think at a system level, understanding complex interdependencies within distributed AI architectures and optimizing end-to-end performance Preferred Qualifications Master's / Bachelors degree in Computer Science, Machine Learning, or a related technical field or equivalent military experience required Prior experience in working with AI/ML systems, distributed systems Familiarity with cybersecurity principles as they apply to AI systems The Ideal Candidate You are a highly skilled and passionate AI engineer who thrives on solving challenging problems and building robust, impactful solutions. You are enthusiastic about developing AI/ML solutions at scale. You are eager to translate business needs into innovative AI solutions and contribute to the company's digital transformation.

Responsibilities: * Develop marketing strategies & plans * Manage Amazon ad spend & LinkedIn campaigns * Optimize e-commerce performance with AI tools * Execute digital marketing initiatives Health insurance

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high availability and minimal downtime. Stay ahead of AI and cloud trends, collaborating with cloud architects to leverage cutting-edge technologies Qualifications 4+ years of experience in cloud-native ML engineering, deploying and maintaining AI models at scale. Hands-on experience with AI cloud platforms (Azure ML, Google AI Platform, AWS SageMaker) and cloud-native services. Strong programming skills in Python and SQL, with expertise in cloud-native tools like Kubernetes and Docker. Experience building automated ML pipelines, including data preprocessing, model deployment, and monitoring. Proficiency in Linux environments and cloud infrastructure management. Experience operationalizing GenAI applications or AI assistants is a plus. Strong problem-solving, organizational, and communication skills. Location: ,Indore,Pune Mandatory Key Skills AWS,Azure,GCP,ML engineering,Python,SQL,AI*

It&aposs fun to work in a company where people truly BELIEVE in what they are doing! We&aposre committed to bringing passion and customer focus to the business. Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal&aposs mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world&aposs most admired Fortune 500 companies. Fractal has consistently been rated as India&aposs best companies to work for, by The Great Place to Work Institute. Cloud, Data, and AI technologies are seeing tremendous innovation and are driving digital transformation across all the enterprises at an unprecedented pace (more than 100%). At Fractal, we are helping enterprises to harness the power of Data on a cloud through Architecture consulting, Data Platforms, Business-Tech platforms, Marketplaces, Data governance, MDM, DataOps, AI/MLOps. In addition, we leverage AI engineering practices to augment each of the areas. Responsibilities Evaluate the current technology landscape and recommend a forward-looking, short, and long-term technology strategic vision. You will participate in the creation and sharing of best practices, technical content, and new reference architectures Work with data engineers and data scientists to develop architectures & solutions. Assist in ensuring the smooth delivery of services/products, solutions. Skills & Requirements In depth experience as an Architect who has experience in Google Cloud Platform and is passionate about applying latest technologies to solve business problems. An ideal candidate would have: 11 - 16 years of experience in Data Engineering & Cloud Native technologies (including Google Cloud Platforms) that cover the big data, analytics and AI/ML domain is essential with experience using GCP Experience in BigQuery, Cloud Composer, Data Flow, Cloud Storage, AI Platform/Vertex AI, Dataproc, GCP IaaS Creating, deploying, configuring, and scaling applications on GCP serverless infrastructure. Knowledge and working experience in - Data Engineering, Data Management and Data Governance Experience of working in multiple End to End Data Engineering and or Analytics projects Knowledge of general programming languages and frameworks, in particular python and/or Java General technology best practices and development lifecycles such as agile and CI/CD but also those enabling more efficient employment of data and machine learning such as DevOps and MLOps. Technical architecture leadership and direction on projects resulting in secure, scalable, reliable, and maintainable platforms. Architecture skills that enable the creation of future-proof, complex global solutions using GCP services. Implementation and/or creation of foundational architectures, including microservices, event-driven and event streaming, and those that enable online machine learning systems. Excellent communication and influencing skills, being able to adapt according to target audience. Good To Have Experience in Container technology, specifically Docker and Kubernetes, DevOps on GCP Google Cloud - Professional Cloud Architect Certification If you like wild growth and working with happy, enthusiastic over-achievers, you&aposll enjoy your career with us! Not the right fit Let us know you&aposre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

Role-AI Expert Location- Pan India Job Role- Deep understanding of AI use cases, Work with Multiple departments to create value prop for AI solutions , Initiatives and proposals

We are currently looking for entry-level position is an excellent opportunity for recent graduates to gain hands-on experience in IT Full Stack ,AI/ML , NodeJs ,ChatBot Developer MBA/ B.Tech/M.Tech/MCA/BCA (Batch 2022,2023,2024,2025,2026) Performance bonus

We are seeking a Senior AI Platform Engineer to design, build, and scale the infrastructure that powers secure and reproducible AI workflows across cloud and hybrid environments. This role is ideal for experienced engineers who thrive at the intersection of AI, DevOps, and platform engineering. Key Responsibilities Design and develop platform services for containerized model training , distributed computing , artifact management , and deployment automation . Build and maintain infrastructure that ensures scalability, reproducibility, and security of AI workflows across various environments. Implement CI/CD pipelines , observability frameworks, and developer tools to support multiple AI teams efficiently. Collaborate with cross-functional teamsincluding data scientists, ML engineers, architects, and developers—to deliver essential platform features. Champion automation , enforce performance and security best practices, and drive operational reliability across platform services. Provide technical mentorship and contribute to long-term architecture and platform strategy . Stay updated with the latest advancements in cloud infrastructure , AI/ML tooling , and platform engineering trends . Skills & Qualifications 7+ years of experience in software or platform engineering, including at least 3 years working on infrastructure for data or AI systems. Demonstrated experience building infrastructure on GCP or AWS (GCP preferred). Proficiency in Python , Go , or JavaScript , with a focus on developing scalable and secure backend services . Strong knowledge of container orchestration (e.g., Kubernetes), serverless technologies , and Infrastructure as Code tools like Terraform. Hands-on experience with data processing frameworks (e.g., Spark) and workflow orchestration tools (e.g., Airflow). Deep understanding of CI/CD workflows , version control systems (e.g., Git), and modern monitoring/logging stacks (e.g., Prometheus, Grafana, ELK).

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high availability and minimal downtime. Stay ahead of AI and cloud trends, collaborating with cloud architects to leverage cutting-edge technologies Qualifications 4+ years of experience in cloud-native ML engineering, deploying and maintaining AI models at scale. Hands-on experience with AI cloud platforms (Azure ML, Google AI Platform, AWS SageMaker) and cloud-native services. Strong programming skills in Python and SQL, with expertise in cloud-native tools like Kubernetes and Docker. Experience building automated ML pipelines, including data preprocessing, model deployment, and monitoring. Proficiency in Linux environments and cloud infrastructure management. Experience operationalizing GenAI applications or AI assistants is a plus. Strong problem-solving, organizational, and communication skills. Mandatory Key Skills AWS,Azure,GCP,Machine Learning,Python,SQL,Artificial intelligence*

Employment Type: Full Time Department: Teaching Qualification Bachelor’s / Master’s B.Ed Experience – Teaching 3 years Job Description – Planning and developing lesson plans Collecting the required teaching materials and sources Guiding and boosting student’s confidence Encouraging healthy classroom behaviour and maintaining an orderly environment Ensuring laboratory cleanliness Maintaining proper functioning of all hardware devices Assisting projects and tasks to students Identifying varying teaching methods to help students learn better Updating curriculum as required Ensuring proper functioning of all computer equipment Updating oneself with advancements in computer technology Developing instructional manuals to help students know proper handling of computers Conducting group and one-on-one training sessions Supervising students research/project work and internship programs Performing administrative duties such as preparing student mark sheets when required Turn On Builder Key Responsibilities – Delivering subject-specific lessons to students. Developing lesson plans and preparing educational content. Assessing students’ progress and performance. Creating a positive learning environment in the classroom. Preparing students for board examinations (for class 10). Required Qualification – Pass 10th & 12th standard from a recognized board A bachelor’s degree in the relevant subject from a recognized university. Have a minimum of 55% marks in graduation. A Bachelor of Education (B.Ed.) or equivalent teaching qualification is mandatory. Candidates must have qualified the CTET (Central Teacher Eligibility Test) or State TET for upper primary and secondary classes. Have proficiency in the language of instruction, typically English. Other eligibility criteria – All degrees and diplomas should be from a recognized institution Teaching experience is desirable Apply for this position Full Name * Email * Phone * Current Designation * Current CTC * Experience * Expectations * Notice Period * Cover Letter * Upload CV/Resume * Allowed Type(s): .pdf, .doc, .docxBy using this form you agree with the storage and handling of your data by this website. * Back to listings

Design, develop, and deploy advanced machine learning models and algorithms. Work with large, complex datasets to extract meaningful insights. Collaborate with data scientists, engineers, and product teams to define ML requirements. Required Candidate profile Implement, train, and fine-tune deep learning models for NLP, computer vision, or other AI domains. Stay updated with the latest research in AI/ML and recommend relevant technologies.

We are currently looking for entry-level position is an excellent opportunity for recent graduates to gain hands-on experience in IT Full Stack , UI/UX ,AI/ML , NodeJs ,ChatBoat Developer MBA/ B.Tech/M.Tech/MCA/BCA (Batch 2022,2023,2024,2025) Performance bonus

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 ServicesMinimum 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

Responsibilities: * Develop AI solutions using Python, ML algorithms & NLP techniques. * Collaborate with cross-functional teams on backend dev & frontend UX.

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high availability and minimal downtime. Stay ahead of AI and cloud trends, collaborating with cloud architects to leverage cutting-edge technologies Qualifications 4+ years of experience in cloud-native ML engineering, deploying and maintaining AI models at scale. Hands-on experience with AI cloud platforms (Azure ML, Google AI Platform, AWS SageMaker) and cloud-native services. Strong programming skills in Python and SQL, with expertise in cloud-native tools like Kubernetes and Docker. Experience building automated ML pipelines, including data preprocessing, model deployment, and monitoring. Proficiency in Linux environments and cloud infrastructure management. Experience operationalizing GenAI applications or AI assistants is a plus. Strong problem-solving, organizational, and communication skills.

We are seeking a Senior Psychologist to join our innovative team.company at the intersection of neuroscience and mental health. We are committed to transforming mental health assessment through our innovative psychometric AI platform, Xaant, which has the potential to revolutionize the industry. Our award-winning company is based in Bangalore and is dedicated to creating impactful solutions that improve the lives of individuals globally. Position Summary: The Senior Psychologist will play a crucial role in delivering high-quality psychological services and advancing mental health programs within the organization. This role involves conducting psychological assessments, providing therapy, supervising junior psychologists, and contributing to research and program development. The ideal candidate will have extensive clinical experience, strong leadership skills, and a commitment to ethical practice. Key Responsibilities: Clinical Services: Provide individual and group therapy, psychological assessments, and interventions for a diverse clientele. Supervision & Training: Supervise and mentor junior psychologists, interns, and other mental health professionals, ensuring adherence to best practices and ethical standards. Program Development: Design and implement mental health programs that align with the organization's mission and address the needs of the community. Research & Evaluation: Lead or contribute to research projects, program evaluations, and the development of evidence-based practices. Client Engagement: Develop and maintain strong relationships with clients, ensuring that services are client-centered and effective. Collaboration: Work closely with multidisciplinary teams, including psychiatrists, social workers, and educators, to provide comprehensive mental health care. Crisis Intervention: Provide crisis intervention and support, including risk assessment and management. Ethical Practice: Uphold the highest ethical standards in clinical practice, including maintaining client confidentiality and adhering to relevant professional guidelines. company at the intersection of neuroscience and mental health. We are committed to transforming mental health assessment through our innovative psychometric AI platform, Xaant, which has the potential to revolutionize the industry. Our award-winning company is based in Bangalore and is dedicated to creating impactful solutions that improve the lives of individuals globally. Position Summary: The Senior Psychologist will play a crucial role in delivering high-quality psychological services and advancing mental health programs within the organization. This role involves conducting psychological assessments, providing therapy, supervising junior psychologists, and contributing to research and program development. The ideal candidate will have extensive clinical experience, strong. leadership skills, and a commitment to ethical practice. Joining: Immediate Days of Working: 6

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high availability and minimal downtime. Stay ahead of AI and cloud trends, collaborating with cloud architects to leverage cutting-edge technologies Qualifications 4+ years of experience in cloud-native ML engineering, deploying and maintaining AI models at scale. Hands-on experience with AI cloud platforms (Azure ML, Google AI Platform, AWS SageMaker) and cloud-native services. Strong programming skills in Python and SQL, with expertise in cloud-native tools like Kubernetes and Docker. Experience building automated ML pipelines, including data preprocessing, model deployment, and monitoring. Proficiency in Linux environments and cloud infrastructure management. Experience operationalizing GenAI applications or AI assistants is a plus. Strong problem-solving, organizational, and communication skills. Location: Bengaluru,Indore,Pune

We are seeking an experienced and visionary individual as our Lead Microsoft Development Capability for India Delivery Center (IDC). You will lead our .NET and Azure software engineering capability, driving innovation, excellence, and efficiency in delivering modern cloud-enabled solutions. This is a senior leadership role that blends technology strategy, delivery assurance, capability growth, and people development. Youll provide hands-on leadership when required, translate technical challenges for non-technical stakeholders, and ensure high-quality, secure, and scalable solutions. Role & Responsibilities Accountable to hire the best in class architects, tech leads, developers who align with Version 1 core values. Accountable for high chargeability and utilization of staff in the Microsoft-Dev capability. Accountable for engineering delivery success through proactive technical governance, risk mitigation, and engineering and quality assurance for strategic and large accounts. Demonstrates high personal commitment to customer delivery success. Personally intervene in projects where Tech Leads or Architects or senior developers need support to enhance speed and quality of deliverables; provide technology / process coaching and drive the technical delivery teams until desired project goals are met. Drive AI assisted innovation and adoption of AI Agentic Tools and Gen AI platforms in every stage of projects and all to automate all possible tasks (design, development, testing, deployment, debugging, documentation, reporting etc.) to reduce cycle time and increase right first time measure of deliverables. Drive adoption of modern engineering practices like CI/CD, test automation, API-first design, cloud-native DevOps, and observability in projects. Accountable to implement project technical delivery assurance frameworks (e.g., 4Eyes Process, estimation templates, delivery playbooks, best practices, checklists, reviews , RAID logs , RCA and improvement/prevention actions). Build a motivated engaged inclusive workforce. Accountable for people upskilling/cross-skilling, certifications, and career-level/role linked competence development. Accountable for identification and retention of top talent. Enable rotation of tenured people in new and strategic accounts / positions and backfilling by other new/junior resources without compromising quality and velocity of the projects. Has to have special focus on grooming early career associates to become productive and billable in projects. Actively support global bids by contributing to architecture, estimation, delivery model, and schedule definition. Participate in solutioning, proposal reviews, bid turnaround (KPI), and PoC development. Drive thought leadership via blog posts, white papers, and at least 1 external forum/conference participation annually. Lead at least one hackathon or innovation sprint each year and contribute to idea generation for cross-skilling/upskilling opportunities. Responsible for tracking all improvement actions in people, process, technology, delivery, innovation domains to closure (not just a starter of ideas but embodying a finisher mindset). Qualifications Minimum 14 years of IT experience, with 10+ years in .NET/Azure engineering. Deep hands-on expertise with .NET Core/6+, ASP.NET, Azure PaaS (Functions, API Mgmt., App Services, Cosmos DB, etc.), microservices, and modern front-end stacks (React/Angular/Blazor). Strong DevOps understanding (CI/CD, GitHub Actions/Azure DevOps, IaC via Bicep/ARM/Terraform). Thrives as people leader and can also groom next level leadership in their team. Thrives in matrix model of organizations and does not restrict themselves in defined roles and responsibilities at the cost of customer delivery success. Strong experience in using Agentic AI development tools and Gen AI platforms. Obsessed with innovation to reduce cycle time of any tasks and improve right-first-time measure of any deliverable. Strong commercial acumen and experience in supporting sales, pre-sales, and project estimation. Exceptional communication, mentoring, and stakeholder management skills. Willingness to travel across India, Ireland, UK, Europe and the US as needed or working in different time zones from India as per project demands. Committed to follow hybrid work policy of Version 1. Experience delivering to customers in Banking / Financial Services / Insurance / Manufacturing / Health care / Pharma domains is desired but not mandatory.

- Build & test AI software for large-scale data; develop in Python, JS & C++ for performance - Analyze data, stats & algorithms for accuracy; recommend AI-driven strategies - Collaborate with ML/Data engineers; track AI trends & compliance Required Candidate profile - Deep understanding of data science, linear algebra, algorithms, and statistics. - In-depth knowledge of Python, JavaScript, and C++, etc. - Willingness to learn in an up-and-coming field.

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high availability and minimal downtime. Stay ahead of AI and cloud trends, collaborating with cloud architects to leverage cutting-edge technologies Qualifications 4+ years of experience in cloud-native ML engineering, deploying and maintaining AI models at scale. Hands-on experience with AI cloud platforms (Azure ML, Google AI Platform, AWS SageMaker) and cloud-native services. Strong programming skills in Python and SQL, with expertise in cloud-native tools like Kubernetes and Docker. Experience building automated ML pipelines, including data preprocessing, model deployment, and monitoring. Proficiency in Linux environments and cloud infrastructure management. Experience operationalizing GenAI applications or AI assistants is a plus. Strong problem-solving, organizational, and communication skills. Location: ,Indore,Pune

3+ years production experience with Python (FastAPI) and Java enterprise applications LangChain/LangGraph for AI agent development Production Kubernetes (EKS) deployment and management experience preferably Elasticsearch

Role & responsibilities Research and prototype AI models for demand forecasting, inventory planning, and market Penetration Support in data preparation and analysis from ERPNext, Shopify, Amazon, and marketing platforms. Experiment with natural language processing (NLP) for product descriptions,customer service automation. Assist in developing predictive models for sales trends and customer buying behavior. Document research outcomes and present findings to management. Collaborate with marketing, supply chain, and sales teams to identify practical use-cases of AI. Preferred candidate profile We are looking for an AI Researcher Intern who is passionate about applying Artificial Intelligence to solve real-world business challenges. The intern will support projects across supply chain forecasting, inventory optimization, sales prediction, marketing automation, and customer behavior analysis. This role is perfect for students or young professionals who are eager to experiment, learn, and create meaningful impact in the pet care industry.