While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role : Associate Engagement Manager Experience Level : 6 to 8 years Location : Mumbai / Bangalore / Trivandrum Roles & Responsibilities: Manage project delivery, the team, customer relations, and ensure that the project is delivered per deliver terms of the contract Managing client engagement and delivery per terms of the contract expectations Manage project delivery, team and ensure positive customer relations Collaborate with our diverse and global teams to deliver committed results to our clients Drive AI-driven engagements, ensuring alignment with business goals, technical feasibility, and governance frameworks. Develop and execute strategic roadmaps for LLM-based solutions, including RAG (Retrieval-Augmented Generation), Agentic RAG, and Agent-driven workflows. Manage cross-functional teams, including ML engineers, data scientists, software developers, and consultants to deliver AI solutions. Drive AI governance strategies, ensuring compliance, fairness, and responsible AI implementation. Collaborate with stakeholders to define technical architecture, infrastructure requirements, and optimization techniques. Oversee the deployment of custom LLM-based models, fine-tuning methodologies, and Hallucination Reduction Techniques. Guide AI model evaluation, MLOps pipeline integration, and fine-tuning strategies for scalable AI solutions. Work with an Engagement Manager to establish best practices for AI Explainability, Bias Mitigation, and Model Performance Benchmarking. Skill Set Required: Strong operational and stakeholder management skills. Project Management ensuring customer success & account growth Maintaining positive work environment & ensure career growth of the team members Tight Delivery execution and reporting to management team at client organization and at Quantiphi Team leading experience and ability & experience to work as a associate project lead Excellent Communication, presentation & storytelling skills Must have experience with Cloud GCP or AWS or Azure (LLM hosting, GPU-based inference, cost optimization). Experience managing small to medium scale AI projects leveraging LLMs (e. g. , Llama, GPT, Claude, Mistral). Strong expertise in RAG, Agentic RAG, AI Agents, Vector DBs (e. g. , FAISS, Pinecone, Weaviate, ChromaDB). Knowledge of LLM-based fine-tuning techniques, Low-Rank Adaptation (LoRA), Quantization (AWQ, GPTQ, FP8, INT4). Familiarity with Multi-GPU parallelization, model pruning, and knowledge distillation. Understanding of Governance frameworks (e. g. , AI Ethics, Explainability, Risk Mitigation). Proficiency in NVIDIA NeMo, Triton Inference Server, and LangChain for agentic workflows. Qualifications Required: BTech/BE (Computer Science, Information Technology) from a reputed engineering college. MBA (Post-graduate program) - 1 year/2 years program from a reputed university. What s in it for you? An opportunity to work with an award winning AI and Big Data software and services company. To be a part of a dynamic and result driven team. To work with a team of vibrant enthusiasts who are always upbeat and self driven to achieve big milestones. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

Job DescriptionRole: Sr. Conversation Bot EngineerWork location: Mumbai & BangaloreResponsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in theGlobal Markets environment. Conversation Bot Engineers design, code, test, debug and document programswell as support activities for the corporate systems architecture. You are required to work closely with businesspartners in defining requirements for system applications. You must typically have in-depth knowledge ofanalyzing data, developing chatbot, automation to handle data and work with data refinement tools .Understanding business requirements and coming up with optimum and best to the market solutions.Required Skills: Experience in development of virtual agents (chatbots, voicebots) and natural language processing Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex,Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc. Knowledge of one or more of the following technologies: Python, JavaScript or Node.js Experience in training chatbots by analyzing historical chat conversations or large amounts of usergenerated content and process data Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management Strong written communication skills Ability to learn latest technologies Good problem-solving abilityNice to have skills: Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voiceapps built on Amazon Alexa or Google Home is a plus Experience in Test Driven Development & Agile methodologies Knowledge of creating an end to end pipeline for development of AI based conversational applications Perform text mining, generate and test working hypotheses, prepare and analyze historical data andidentify patterns Ability to write regular expressions for data cleaning and preprocessing Understanding of API integrations, Single-Sign-on and token-based authentication Develop unit test cases as per project specific standards Experience with HTTP, Sockets, REST and other web services Perform keyword and topic extraction from chat logs Knowledge of training and tuning topic modelling algorithms like LDA and NMF Understanding of training classical Machine learning algorithms along with an understanding ofchoosing the right evaluation metric Knowledge of frameworks like nltk and spacy Ability to write

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Must have skills: Amazon Connect Expertise: Hands-on experience with Amazon Connect, including configuration, building user-friendly call and chat flows with automation capabilities Proficiency in Amazon Connect Voice and Chat flows, Queues, Routing Profiles, Contact Lens, Step by Step Guides, Amazon Q for Connect, Agent workspace, Customer Profiles and cases Design, configure, and deploy Amazon Connect contact center solutions, including routing, IVR, and queue management Integrate Amazon Connect with external systems, CRM tools (e. g. , Salesforce, ServiceNow), AWS services (e. g. , Lambda, S3), databases, and other backend systems Experience Architecting an end-to-end omnichannel cloud contact center with Amazon Connect, Lex, Pinpoint and other AWS services Proficient in AWS Lambda, API Gateway, and other serverless services Ability to implement test scripts to confirm quality, reliability, and efficiency of technologies Experience designing disaster recovery mechanisms and handling designing a scalable architecture Familiarity with scripting languages such as Node. js or Python for creating AWS Lambda functions Customer Experience Optimization: Strong understanding of IVR design, call routing, and skills-based routing within Amazon Connect Implement best practices for call routing, IVR flows, and integration with AWS AI services like Amazon Lex and Polly Optimize Amazon Connect workflows for enhanced customer interactions Administration & Support: Monitor and troubleshoot the performance of the Amazon Connect environment Conduct regular performance reviews and ensure compliance with industry standards and security requirements Automation & Integrations: Experience in CTI integration with CRM Leverage AWS Lambda, Amazon Lex, and other AWS tools for process automation Collaborate with development teams to create custom integrations using AWS SDKs or APIs Training & Documentation: Create and maintain documentation for Amazon Connect solutions and workflows Provide training and support to users and administrators on the operation and troubleshooting of the system Communication Skills: Strong written and verbal communication skills to interact with internal teams and customers effectively Good to have skills: Amazon Connect Certifications: AWS Certified Solutions Architect - Associate or AWS Certified Developer - Associate Amazon Connect-specific certifications or experience with contact center implementations AI & Machine Learning Experience: Experience with AI-driven solutions like Amazon Lex for building chatbots or conversational agents Security & Compliance Knowledge: Familiarity with AWS security best practices, including IAM policies, data encryption, and ensuring compliance with standards like GDPR, PCI-DSS, etc Reporting & Analytics: Experience using Amazon QuickSight, Tableau, or other analytics tools for building reports and dashboards Project Management Skills: Ability to lead and manage projects from inception to completion, including gathering requirements, managing timelines, and delivering solutions Experience working in an Agile and DevOps environment If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

More than 15 years of experience in Technical, Solutioning, and Analytical roles. 5+ years of experience in building and managing Data Lakes, Data Warehouses, Data Integration, Data Migration, and Busines Intelligence/Artificial Intelligence solutions in the Cloud (GCP/AWS/Azure) Ability to understand business requirements, translate them into functional and non-functional areas, and define non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience, etc. Experience in architecting, designing, and implementing end-to-end data pipelines and data integration solutions for varied structured and unstructured data sources and targets. Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud. Well-versed with various Data Integration, and ETL technologies in Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. on various Cloud. Experience of having worked with traditional ETL tools like Informatica / DataStage / OWB / Talend , etc. Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc. Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc. Experience in architecting and designing scalable data warehouse solutions on the cloud on Big Query or Redshift. Experience in having worked on one or more data integration, storage, and data pipeline toolsets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc. Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, PyTorch, etc. Good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers, and Microservices Architecture and Design. Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud. Good understanding of BI Reposting and Dashboarding and one or more toolsets associated with it like Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc. Understanding of Security features and Policies in one or more Cloud environments like GCP/AWS/Azure. Experience of having worked in business transformation projects for the movement of On-Premise data solutions to Clouds like GCP/AWS/Azure. Role: Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence. Interface with multiple stakeholders within IT and business to understand the data requirements. Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction. Responsible for design and development of distributed, high volume multi-thread batch, real-time, and event processing systems. Implement processes and systems to validate data, and monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Work with the Pre-Sales team on RFP, and RFIs and help them by creating solutions for data. Mentor Young Talent within the Team, Define and track their growth parameters. Contribute to building Assets and Accelerators. Other Skills: Strong Communication and Articulation Skills. Good Leadership Skills. Should be a good team player. Good Analytical and Problem-solving skills.

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Roles & Responsibilities: Agentic AI Development: Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes LLM Fine-Tuning: Work with large-scale pre-trained models (like Llama, Mistral etc. ) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency. Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements. AI Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments. Collaboration with Cross-functional Teams: Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions. Research & Development: Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology. Scaling and Deployment: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments. Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders. Required Skills & Qualifications: Experience: 8 to 12 years of hands-on experience in machine learning and AI engineering. Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar. Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. Strong experience in prompt engineering to optimize AI models performance. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar. Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models. Experience with NLP tasks, such as text classification, text generation, summarization, and question answering. Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks. Familiarity with SDLC life cycle , data processing tools (e. g. , Pandas, NumPy, etc. ) and version control (e. g. , Git). Soft Skills: Strong problem-solving and analytical skills. Excellent communication and teamwork abilities to collaborate with stakeholders. Ability to work independently and drive projects to completion with minimal supervision. Preferred Qualifications: Experience in deploying AI models at scale in production environments. Expertise in large-scale data processing, optimization techniques, and model deployment. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

We are looking for a software architect who is motivated to combine the art of design with programming. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the UI/UX designer and bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works. Develop new user-facing features Develop scalable stateless or stateful API that integrate seamlessly with UI/Databases/3rd party clients Implement industry standard security best practices for the application development Build reusable code and libraries for future use Ensure the technical feasibility of UI/UX designs . Optimize application for maximum speed and scalability . Collaborate with other team members and stakeholders. Design Cloud native / cloud scalable applications. Skills expectation: Ensure compliance of best practices and policies in software development Closely monitor code quality during implementation and be responsible for code reviews and deliverables Expert level understanding of software development design patterns Experience in Architecting large scale web/mobile/desktop microservices based/monolithic applications PRIMARY SKILLS NEEDED: NodeJS, Angular and React JS jQuery, JSON, AJAX, web services/REST, SQL. JavaScript frameworks like NodeJS, AngularJS, ReactJS, Jasmine or Ember etc. , or JS-based build tools like Grunt, Gulp, and Bower. Deep understanding of client-side development, coding in HTML5 CSS3 JavaScript ES6 and jQuery. Strong experience using a client-side MVC framework such as NodeJS, React JS, NextJS, Redux, and AngularJS. Proficiency with databases including data modeling and query optimization (eg MySQL, Postgres, MongoDB, DynamoDB) Proficient understanding of cross-browser compatibility issues and ways to work around them. Design and construction of REST API and its security. Proven ability to develop and ship high quality software products in Agile development. Accountable for end-to-end delivery of software Proficient understanding of web markup, including HTML5, CSS3 Proficient understanding of code versioning tools preferably Git. Good understanding of SEO principles and ensuring that application will adhere to them. Top-notch programming skills and write code for robust software design. Experience in responsive design, cross-browser compatibility, and website performance. Experience in object-oriented design skills. Aggressive problem diagnosis and creative problem-solving skills. Good understanding of how browsers and DOM work. Knowledge of frontend CSS frameworks like Bootstrap, Material UI and preprocessors like SASS and LESS. Leadership qualities Provide thought leadership to the team and bring industry best practices to the project. Ability to lead technology teams and provide them mentorship / support to accelerate performance. Ability to handle conflicts effectively by managing internal and external stakeholders Experience in leading multiple large projects as well as a deep understanding of Agile developments Effective communication with all the stakeholders involved. communicate clearly about complex subjects and technical plans with technical and non technical audiences. Good to have Knowledge of working on Cloud technologies like Google cloud platform/ AWS / Azure Experience of managing microservices driven architecture and orchestrate using API gateways Familiarity with tools such as Photoshop / illustrator / XD / Figmma / Sketch is a plus. Exposure to containerization and distributed computing Knowledge on Elasticsearch will be an added advantage End-to-end documentation (Technical Design Documentation) Exposure to operating in programming paradigms such as TDD, Pair Programming, Rapid Prototyping etc. Work effectively within different stages of the project from proposal to delivery and work within Budget and timelines set for the project. Ability to break down complex problems into actionable tasks. Need to Must also have the ability to interact with other members of the team (Juniors, Seniors, Architects , Tech leads, BA, etc) to get their designs from concept to development Keeping various audiences in mind, must write their reports in clear language accessible to all Working knowledge of Apollo, GraphQL, Moment. js is an advantage. UX or UI designing experience is an advantage.

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! We are looking for experienced Machine Learning Engineers to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role : Associate Architect - Platform (MLOps) Experience Level : 6 to 9 Years Location : Mumbai / Bangalore / Trivandrum (Hybrid) Roles and Responsibilities: Orchestrating LLM Workflows & Development: Design, implement, and scale the underlying platform that supports GenAI workloads, be it for real-time or batch. The workloads can also vary from fine-tuning/distilling to inference. LLMOps (LLM Operations): Build and manage operational pipelines for training, fine-tuning, and deploying LLMs such as Llama, Mistral etc, GPT-3/4, BERT, or similar. Ensure smooth integration of these models into production systems. GPU Optimization: Optimize GPU utilization and resource management for AI workloads, ensuring efficient scaling, low latency, and high throughput in model training and inference. Develop techniques to manage multi-GPU systems for high-performance computation. Have clarity on LLM parallelization techniques as well as other inference optimization techniques. Infrastructure Design & Automation: Design, deploy, and automate scalable, secure, and cost-effective infrastructure for training and running AI models. Work with cloud providers (AWS, GCP, Azure) to provision the necessary resources, implement auto-scaling, and manage distributed training environments. Platform Reliability & Monitoring: Implement robust monitoring systems to track the performance, health, and efficiency of deployed AI models and workflows. Troubleshoot issues in real-time and optimize system performance for seamless operations. Transferable knowledge from traditional software monitoring in production is fine. Monitoring knowledge of ML/GenAI workloads is preferred. Maintain Knowledge Base: Good knowledge of database concepts ranging from performance tuning, RBAC, sharding, along with exposure to different types of databases from relational to object & vector databases is preferred. Collaboration with AI/ML Teams: Work closely with data scientists, machine learning engineers, and product teams to understand and support their platform requirements, ensuring the infrastructure is capable of meeting the needs of AI model deployment and experimentation. Security & Compliance: Ensure that platform infrastructure is secure, compliant with organizational policies, and follows best practices for managing sensitive data and AI model deployment. Required Skills & Qualifications: Experience: 3+ years of experience in platform engineering, DevOps, or systems engineering, with a strong focus on machine learning and AI workloads. Proven experience working with LLM workflows, and GPU-based machine learning infrastructure. Hands-on experience in managing distributed computing systems, training large-scale models, and deploying AI systems in cloud environment. Strong knowledge of GPU architectures (e. g. , NVIDIA A100, V100, etc. ), multi-GPU systems, and optimization techniques for AI workloads. Technical Skills: Proficiency in Linux systems and command-line tools. Strong scripting skills (Python, Bash, or similar). Expertise in containerization and orchestration technologies (e. g. , Docker, Kubernetes, Helm). Experience with cloud platforms (AWS, GCP, Azure), tools such as Terraform, /Terragrunt, or similar infrastructure-as-code solutions, and exposure to automation of CICD pipelines using Jenkins/Gitlab/Github, etc. Familiarity with machine learning frameworks (TensorFlow, PyTorch, etc. ) and deep learning model deployment pipelines. Exposure to vLLM or NVIDIA software stack for data & model management is preferred. Expertise in performance optimization tools and techniques for GPUs, including memory management, parallel processing, and hardware acceleration. Soft Skills: Strong problem-solving skills and ability to work on complex system-level challenges. Excellent communication skills, with the ability to collaborate across technical and non-technical teams. Self-motivated and capable of driving initiatives in a fast-paced environment. Preferred Skills & Qualifications: Experience in building or managing machine learning platforms, specifically for generative AI models or large-scale NLP tasks. Familiarity with distributed computing frameworks (e. g. , Dask, MPI, Pytorch DDP) and data pipeline orchestration tools (e. g. , AWS Glue, Apache Airflow, etc). Knowledge of AI model deployment frameworks such as TensorFlow Serving, TorchServe, vLLM, Triton Inference Server. Good understanding of LLM inference & how to optimize self-managed infrastructure Understanding of AI model explainability, fairness, and ethical AI considerations. Experience in automating and scaling the deployment of AI models on a global infrastructure. Preferred Experience: Previously working on NVIDIA Ecosystem or well aware of NVIDIA Ecosystem - Triton Inference Server, CUDA, NVAIE, TensorRT, NeMo, etc Good at Kubernetes (GPU Operator), Linux, and AI Deployment & experimentation tools. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role : Client Solutions Partner Experience Level : 8 to 12 years Location : Mumbai / Bangalore (Hybrid) Roles and Responsibilities: Client Relationship & Engagement : Cultivate and manage strong, long-term relationships with key decision-makers in telecom organizations. Act as the primary point of contact for all AI and GenAI-related initiatives, ensuring the delivery of high-value solutions. Solution Design & Strategy : Collaborate with clients to understand their business challenges and telecom needs, and design AI/GenAI-driven solutions that address these pain points. Provide strategic guidance on how emerging technologies can transform their operations and customer offerings. Sales & Business Development : Identify new business opportunities and upsell AI and GenAI solutions within existing client accounts. Lead consultative sales engagements, guiding clients through the AI journey from initial discovery to solution design and deployment. End-to-End Project Leadership : Oversee the full lifecycle of AI/GenAI solutions, from pre-sales through to post-sales support. Work with internal teams to ensure the successful implementation of solutions that align with client objectives and exceed expectations. AI & GenAI Expertise : Stay on the cutting edge of AI, machine learning, and generative AI trends. Bring deep knowledge of how these technologies can be applied in the telecom industry, from predictive maintenance and network optimization to customer personalization and automation. Cross-Functional Collaboration : Work closely with sales, engineering, product, and support teams to tailor AI/GenAI solutions that meet client needs. Ensure clear communication and alignment between teams throughout the solution lifecycle. Client Advocacy & Support : Advocate for client needs within the organization, ensuring their feedback and concerns are addressed. Provide clients with ongoing education and support to help them maximize the value of AI solutions. Performance Monitoring & ROI : Measure the success and impact of AI/GenAI solutions for clients. Provide reports and analytics to demonstrate ROI and continuously identify areas for improvement and further value creation. Required Skills & Qualifications: Bachelor s degree in Business, Telecommunications, Computer Science, Engineering, or a related field (or equivalent work experience). Proven experience in a client-facing role within the telecom industry, with a strong understanding of telecom operations and technologies. Deep expertise in AI, machine learning, and generative AI technologies, with a focus on their application in the telecom sector. Experience in selling AI-driven solutions, preferably in the telecom or technology industries, with a proven track record of sales success. Strong business acumen with the ability to translate client needs into actionable AI/GenAI solutions. Excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI concepts in simple terms to both technical and non-technical stakeholders. Strong project management skills with the ability to manage complex, multi-faceted engagements. A collaborative mindset, able to work effectively with internal and external teams to deliver exceptional client experiences. Preferred Qualifications: Experience with telecom-specific AI applications such as predictive analytics, network optimization, customer service automation (e. g. , chatbots, virtual assistants), and fraud detection. Familiarity with AI platforms, frameworks, and tools (e. g. , TensorFlow, PyTorch, GPT models) and cloud-based AI solutions. Background in data science, machine learning engineering, or a related technical field. Knowledge of AI ethics and regulations, particularly in telecom environments. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Experience : 5 + Years Location : Mumbai/ Bangalore/ Trivandrum (Hybrid) Must have skills: 5+ years of relevant hands-on technical experience mathematical optimization techniques and implementing and developing cloud ML solutions on AWS. Experience in designing and implementing mathematical optimization models using Gurobi to address business challenges such as workforce scheduling, supply chain optimization, and resource allocation. Experience in utilizing combinatorial optimization techniques like branch and cut, branch and bound, and metaheuristics (e. g. , genetic algorithms, simulated annealing) to solve discrete optimization problems. Must be able to analyze complex business problems and identify opportunities for optimization, applying combinatorial optimization methods to discrete problems. Experience in monitoring and analyzing the performance of optimization models, identifying areas for improvement. Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc. ) (clustering, decision tree learning, artificial neural networks, etc. ) and their real-world advantages/drawbacks. Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs. Implement and manage MLOps principles and best practices for ML architecture. Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc. Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc. Good to have skills: Experience in dynamic pricing, price promotion and price optimization. Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions. Experience with software development. Able to effectively design software architecture as required . If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Client Solutions Partner - Insurance Quantiphi - Solving What Matters We are seeking a highly driven and experienced sales leader to drive growth within the Insurance sector in North America, reporting to the Senior Client Solutions Partner for Financial Services & Insurance. This role requires a deep understanding of the Insurance landscape and the ability to cultivate and manage relationships, focusing on Fortune 1000 companies. As a Client Solutions Partner, you will be responsible for expanding Quantiphis presence within key Insurance accounts and driving new business opportunities. Responsibilities: Strategic Account Development: Develop and execute account strategies focused on large enterprise Insurance customers in North America, aligning with the overall FSI vertical strategy. Identify and nurture business growth opportunities, leveraging industry knowledge and developing C-level contacts. Sales Cycle Management: Manage complete sales cycles, from prospecting and needs analysis to proposal development, negotiation, and closing. Effectively present Quantiphis value proposition to executive audiences, tailoring the message to specific client needs and demonstrating a clear ROI. Customer-Centric Approach: Develop a deep understanding of each customers business drivers, technology landscape, and competitive pressures. Articulate how Quantiphis AI-powered solutions can address key challenges in areas like claims processing, underwriting, fraud detection, personalized insurance solutions, and customer experience. Relationship Building: Build and expand relationships within target accounts, networking strategically and positioning yourself as a trusted advisor. Provide clients with valuable insights on leveraging AI and data science to achieve their business objectives. Collaboration & Partnership: Work closely with internal teams, including marketing, solutions architects, and delivery, to ensure seamless project execution and client satisfaction. Collaborate with alliance partners to extend reach and enhance offerings. Forecasting & Goal Achievement: Develop and maintain accurate sales forecasts, effectively managing your pipeline and consistently achieving sales targets. Contribute to the overall FSI sales strategy. Market Expertise: Stay current on industry trends, competitive dynamics, and emerging technologies within the Insurance space, including Insurtech and relevant regulations. Leverage this knowledge to identify new opportunities and strengthen Quantiphis market position. Qualifications: Proven track record of success in enterprise sales within the Insurance industry. Strong network within the North American Insurance market, with connections to Fortune 1000 companies preferred. Deep understanding of Insurance business challenges and the application of AI and data science to solve them. Excellent communication, presentation, and interpersonal skills, with the ability to build rapport and influence at all levels. Experience managing complex sales cycles and negotiating enterprise deals. Ability to work collaboratively and effectively manage multiple stakeholders. * Bachelors degree in a related field; MBA preferred. 5+ years of experience in enterprise sales within the Insurance industry.

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Client Solutions Partner - Payer/Provider Quantiphi - Solving What Matters We are seeking a highly driven and experienced sales leader to spearhead our growth within the Payer and Provider segments of the Healthcare and Life Sciences industry across North America. This pivotal role demands a deep understanding of the payer and provider landscape, coupled with the ability to cultivate and manage strategic relationships at the executive level. As a Client Solutions Partner, you will be responsible for driving sales and fostering long-term partnerships with key accounts. Responsibilities: Strategic Account Leadership: Develop and execute account strategies focused on large enterprise payer and provider customers in North America. Identify and nurture business growth opportunities, leveraging your in-depth industry knowledge and network of C-level contacts. Full Sales Cycle Management: Lead complex sales cycles, including prospecting, needs analysis, solution development, proposal presentation, negotiation, and closing. Confidently present Quantiphis value proposition to C-suite executives. Customer-Centric Approach: Develop a deep understanding of each customers unique business drivers, technology footprint, strategic growth plans, and competitive landscape. Articulate how Quantiphis AI-powered solutions can deliver tangible business value and drive transformative change, specifically addressing challenges related to claims processing, revenue cycle management, patient engagement, and value-based care. Relationship Building: Cultivate and expand executive relationships within target accounts, leveraging your existing network and building new connections. Serve as a trusted advisor to clients, providing strategic guidance and insights. Collaboration & Partnership: Work collaboratively with internal Go-to-Market (GTM) teams, including marketing, solutions architects, and delivery teams, to ensure seamless execution and exceptional customer experience. Develop and manage relationships with alliance partners to maximize business results. Accurate Forecasting & Goal Achievement: Develop and maintain accurate sales forecasts, effectively managing your pipeline and driving consistent achievement of strategic sales goals. Market Expertise: Stay abreast of industry trends, competitive dynamics, and emerging technologies within the payer and provider space. Leverage this knowledge to identify new opportunities and position Quantiphi as a leader in AI-driven solutions. Qualifications: Proven track record of success in enterprise sales within the healthcare industry, specifically focusing on payer and provider organizations. Established network of C-level relationships within the North American payer and provider market. Deep understanding of payer and provider business challenges and opportunities, as well as the application of AI and data science to address them. Strong business acumen, analytical skills, and the ability to translate complex technical concepts into business value. Excellent communication, presentation, and interpersonal skills, with the ability to build rapport and influence at all levels. Experience managing complex sales cycles and negotiating large enterprise deals. Ability to work collaboratively in a team environment and effectively manage multiple stakeholders. Bachelors degree in a related field; MBA preferred. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! You will be working as an Associate Data Architect within the domain, designing and delivering big data pipelines for structured and unstructured data that are running across multiple geographies, helping healthcare organizations achieve their business goals with use of data ingestion technologies, cloud services & DevOps. You will be working with Architects from other specialties such as Cloud engineering, Software engineering, ML engineering to create platforms, solutions and applications that cater to latest trends in the healthcare industry such as digital diagnosis, software as a medical product, AI marketplace, amongst others. Role & Responsibilities: Work with cloud engineers and customers to solve big data problems by developing utilities for migration, storage and processing on Google Cloud. Design and build a cloud migration strategy for cloud and on-premise applications. Diagnose and troubleshoot complex distributed systems problems and develop solutions with a significant impact at massive scale. Build tools to ingest and jobs to process several terabytes or petabytes per day. Design and develop next-gen storage and compute solutions for several large customers. Communicate with a wide set of teams, including Infrastructure, Network, Engineering, DevOps, SiteOps teams, and cloud customers. Build advanced tooling for automation, testing, monitoring, administration, and data operations across multiple cloud clusters. Better understanding of Data modeling and governance If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Responsibilities: Create and maintain LookML code, which defines data models, dimensions, measures, and relationships within Looker. Develop reusable LookML components to ensure consistency and efficiency in report and dashboard creation. Build and customize dashboard to Incorporate data visualizations, such as charts and graphs, to present insights effectively. Write complex SQL queries when necessary to extract and manipulate data from underlying databases and also optimize SQL queries for performance. Identify and address bottlenecks that affect report and dashboard loading times and Optimize Looker performance by tuning queries, caching strategies, and exploring indexing options. Configure user roles and permissions within Looker to control access to sensitive data & Implement data security best practices, including row-level and field-level security. Good understanding of Looker API, SDk and extension framework. Use version control systems (e. g. , Git) to manage LookML code changes and collaborate with other developers. Provide training and support to business users, helping them navigate and use Looker effectively. Diagnose and resolve technical issues related to Looker, data models, and reports. Skills Required: Experience in Looker modeling language, LookML, including defining data models, dimensions, and measures. . Strong SQL skills for writing and optimizing database queries. Understanding of different SQL database systems and dialects (GCP/BQ preferable) Knowledge of data modeling best practices. Proficiency in ETL processes for data transformation and preparation. Skill in creating visually appealing and effective data visualizations using Looker dashboard and reporting tools. Ability to optimize Looker performance by fine-tuning queries, caching strategies, and indexing options. Familiarity with related tools and technologies, such as data warehousing (e. g. , BigQuery ), data transformation tools (e. g. , Apache Spark), and scripting languages (e. g. , Python). Strong analytical and problem-solving skills. Knowledge of data governance principles and practices to ensure data quality, privacy, and compliance within Looker. Willingness to stay updated on Lookers latest features and best practices in data analytics and BI. Create and maintain efficient data models Finetune queries and optimize the overall performance of Looker dashboards Provide training and support to end-users, help them understand how to use Looker effectively for data analysis and decision-making Excellent understanding of advanced looker concepts - liquid, data security, complex derived tables, caching / PDTs, etc. Troubleshoot issues related to data modeling, queries, and dashboards, identify root causes, and implement solutions to resolve them effectively If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Engagement Manager (with Product Experience) Experience - 6 to 8 years Location : Bangalore/Mumbai Responsibilities: Product & Client Engagement: Manage customer communication, relationships, and escalations. Guide clients on technology evaluation, technical thought leadership, and direction. Showcase product offerings and applications to internal and external stakeholders. Gather client feedback and work with product and technical teams to incorporate it. Collaborate with project teams to leverage product capabilities and manage client relationships. Align with product and business teams on priorities and long-term/short-term architecture goals. Project Delivery: Lead project deliveries in a fast-paced environment, managing multiple responsibilities. Lead engagements with multiple work-streams, prepare project plans, and manage deliverables. Guide and support team members in problem-solving. Conduct project deliverables reviews and ensure issue resolution. Manage conflicts and dependencies. Key Skills: Bonus points for experience in working for a product company, in close collaboration with a technical team and having good knowledge of the Software Development Life Cycle. Excellent client communication, analytical, and presentation skills. Ability to work independently in a dynamic and time-sensitive environment. Experience in Generative AI & Cloud Technologies. Problem-solving mindset and ability to guide the team in resolving project issues. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

Role: Sr. Test Automation Engineer Experience Level: 3-6 Years.Work location: Mumbai/ Bangalore/ Trivandrum (Hybrid)We are looking for an experienced Senior ETL Test Engineer who can help test the Data migration for our client with their skill set. In this role, you will be responsible for understanding the workflow of data flow from source to target system and BI Dashboard testing. Testing of the Back end modules with the ETL pipelines would be part of the role. Technologies worked on: Programming - Python, Pytest, Shell scripting, SQL, PysparkAWS based data services - AWS services like S3, API Gateway and Lambda Testing : ETL, Bigdata, BI Dashboard, API, Performance and Functional testingTesting Tools:- Kafka, Airflow Dag, Lookers, Postman, Selenium, JMeterRequirement Description: Experienced in understanding WebApp solutions and different modules to test the solution end to end Experience in drafting Test plans, Test scenarios and track test results for closureMust have Proven experience as a QA engineer for managing testing deliverables Experience with testing a full stack WebApp with Front end, Back end and ETL modules Experience with writing test scripts using Python and Pandas Working knowledge with SQL databases like BigQuery, Redshift, Snowflake, etc. is mandatory Experience with automated ETL pipeline testing using Python Experience with Devops testing (Terraform) Knowledge of automated API testing using Postman or similar tools Knowledge of JMeter for Performance testing Ability to understand user perspective and test edge cases on front end Good to have Experience with testing CI/CD pipelines built using AWS services Expertise with test management tools like JIRA Understanding of Project Lifecycle in Agile Ability to collaborate with other members of team to understand the modules Ability to draft the Test plans and Test reports in clear language.

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Platform Engineer (MLOps) Experience Level: 3 to 6 Years Location: Mumbai/Bangalore (Hybrid) Overview: We are seeking an experienced Platform Engineer with expertise in MLOps/LLMOps and handling distributed systems, particularly Kubernetes and Slurm, along with a strong background in managing Multi-GPU, Multi-Node Deep Learning job scheduling. Proficiency in Linux (Ubuntu) systems, the ability to create intricate shell scripts, good proficiency in working with configuration management tools and sufficient understanding of deep learning workflow. Roles and Responsibilities: Design, deploy, and maintain distributed systems using Kubernetes and Slurm for optimal resource utilization and workload management. Lead the configuration and optimization of Multi-GPU, Multi-Node Deep Learning job scheduling, ensuring efficient computation and data processing. Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions. Develop and maintain complex shell scripts for various system automation tasks, enhancing efficiency and reducing manual intervention. Monitor system performance, identify bottlenecks, and implement necessary adjustments to ensure high availability and reliability. Troubleshoot and resolve technical issues related to the distributed system, job scheduling, and deep learning processes. Stay updated with industry trends and emerging technologies in distributed systems, deep learning, and automation. Skill Set Needed: Hands-on experience in MLOps - Azure ML (preferred), MLFlow, Kubeflow, AutoML etc. Good to have at least one ML framework understanding - PyTorch / TensorFlow. Good with Python. Experience in shell/linux scripting. Good understanding of logical networks. Proven experience in designing, deploying, and managing distributed systems, with a focus on Kubernetes and Slurm. Sufficient understanding of AI Model Training and Deployment and Strong background in Multi-GPU, Multi-Node Deep Learning job scheduling and resource management. Proficiency in Linux systems, particularly Ubuntu, and the ability to navigate and troubleshoot related issues. Extensive experience creating complex shell scripts for automation and system orchestration. Familiarity with continuous integration and deployment (CI/CD) processes. Excellent problem-solving skills and the ability to diagnose and resolve technical issues promptly. Strong communication and collaboration skills to work effectively within a cross-functional team. Good to Have: Previously working on NVIDIA Ecosystem or well aware of NVIDIA Ecosystem - Triton Inference Server, CUDA. Experience in working with On-prem NVIDIA GPU servers.

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Full Stack Lead (Frontend Heavy) Exp: 4-6Years Location :Mumbai /Bangalore Job Description Designation: Full Stack Software Developer Experience in Years: (4-6 years of total experience with 4+years of relevant ReactJS experience) Must Have Skills: Frontend Development: Strong knowledge of ReactJS, JavaScript, TypeScript, HTML5, CSS3 , and modern frontend build tools (Webpack, Babel, etc. ). Proficiency in modern CSS techniques including Flexbox, Grid, and CSS animations Experience with CSS preprocessors (Sass, Less) and CSS-in-JS solutions (styled-components, Emotion) State Management: Experience with state management tools like Redux , Context API, or similar. Expertise in responsive and mobile-first design principles. Knowledge of web accessibility standards (WCAG) and implementation techniques. Proficiency in frontend performance optimization techniques Backend Development: Proficient in Python with hands-on experience in Fast API for building scalable backend services and APIs. Database Management: Experience with relational and NoSQL databases (e. g. , PostgreSQL , Firebase ). API Integration: Expertise in integrating frontend applications with RESTful APIs , GraphQL , and WebSocket . Authentication & Authorization: Experience implementing secure user authentication using JWT, OAuth, or Firebase Authentication . Real-Time Communication: Experience with real-time communication protocols like WebSockets . Cloud Platforms: Knowledge of Firebase for hosting, database management, and cloud functions. Version Control & Collaboration: Strong experience with Git, GitHub, or GitLab in a collaborative development environment. Good to Have Skills: Server-Side Rendering (SSR) and Static Site Generation (SSG) with Next. js. Docker or other containerization technologies. Familiarity with GraphQL and its integration in full-stack development. Unit Testing: Experience with testing frameworks like Jest, Pytest, or Mocha. Role & Responsibilities: Design, develop, and maintain full-stack applications, ensuring seamless integration between frontend and backend components. Collaborate with UI/UX designers to create responsive, user-friendly interfaces using ReactJS while ensuring fast and scalable backend services with FastAPI. Build and optimize backend APIs using Python and FastAPI, ensuring high performance and security. Implement data storage solutions using PostgreSQL or Firebase and ensure efficient data retrieval and storage. Ensure the performance, scalability, and security of the backend services while building and deploying frontend applications. Integrate third-party services, APIs, and tools in both frontend and backend layers. Write clean, modular, and well-documented code for both frontend and backend development. Contribute to architectural decisions and development best practices for the full stack. Participate in code reviews, providing and receiving feedback to ensure high-quality code. Work in an Agile environment, collaborating with cross-functional teams to deliver high-quality software. Stay up-to-date with the latest trends in both frontend and backend technologies, ensuring continuous improvement in development practices. Implement and maintain testing and debugging strategies to ensure reliable code deployment. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Experience : 3 to 7 Years Location : Mumbai/ Bangalore/ Trivandrum (Hybrid) Requirement Description: Experienced in understanding WebApp solutions and different modules to test the solution end to end Experience in drafting Test plans, Test scenarios and track test results for closure Must have Proven experience as a QA engineer for managing testing deliverables Experience with testing a full stack WebApp with Front end, Back end and ETL modules Experience with writing test scripts using Selenium and Python Working knowledge with SQL databases like Postgresql, etc. is mandatory Experience with automated ETL pipeline testing Knowledge of automated API testing using Postman or similar tools Knowledge of JMeter for Performance testing Ability to understand user perspective and test edge cases on front end Good to have Experience with testing CI/CD pipelines built using AWS services Expertise with test management tools like JIRA Understanding of Project Lifecycle in Agile Ability to collaborate with other members of team to understand the modules Ability to draft the Test plans and Test reports in clear language If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Experience : 3 to 7 Years Location : Mumbai/ Bangalore/ Trivandrum (Hybrid) Requirement Description: Experienced in understanding WebApp solutions and different modules to test the solution end to end Experience in drafting Test plans, Test scenarios and track test results for closure Must have Proven experience as a QA engineer for managing testing deliverables Experience with testing a full stack WebApp with Front end, Back end and ETL modules Experience with writing test scripts using Selenium and Python Working knowledge with SQL databases like Postgresql, etc. is mandatory Experience with automated ETL pipeline testing Knowledge of automated API testing using Postman or similar tools Knowledge of JMeter for Performance testing Ability to understand user perspective and test edge cases on front end Good to have Experience with testing CI/CD pipelines built using AWS services Expertise with test management tools like JIRA Understanding of Project Lifecycle in Agile Ability to collaborate with other members of team to understand the modules Ability to draft the Test plans and Test reports in clear language If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !