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! The position involves working with a diverse, lively, and proactive group of nerds who are constantly raising the bar on translating the latest AI research in Healthcare and Life Sciences into tangible reusable assets for the community. Hence this would require a high level of conceptual understanding, attention to detail and agility in terms of adaptation to new technologies. Must Have Education level: Master’s or PhD.Background in Biotechnology/BioinformaticsMinimum work experience required : from new graduates to 3+ yrs of research experience post graduation (in ML research)Excellent in-depth understanding of ML concepts and the respective underlying mathematical know-howHands-on experience with in silico techniques in drug discoveryWorking knowledge of using NLP with biological sequencesHands-on experience with HPC workflows with genome datasetsHands-on experience in developing and deploying models with various deep learning architectures in multiple ML areas like Computer-Vision, NLP, Statistics ,LLM, chat-GPT, etc.Knowledge of Cloud-environments like GCP/AWS and ML frameworks like TensorFlow/PyTorch, with good experience in large scale distributed training Excellent coding skills (Python advanced) and flexible mindset, with ability to quickly switch between & adapt to newer conceptsAbility to translate abstract highlights into understandable insights in multiple knowledge-dissemination formats like blogs, presentations, paper-publications, tutorials and webinars Good To Have Demonstrated industry research experience will be considered as an additional bonus.Prior R&D experience, and/or publications at top-tier ML conferences will be an advantage.Strong classical education on math/physics/mechanics/CS/Engineering concepts will also be an advantage. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Designation: Senior Sales Engineer Experience Level: 3-7 Years Location: Mumbai Role & Responsibilities: As part of the core sales team of Quantiphi, the Sales Engineer will be responsible for the execution of the end-to-end sales process in a B2B environment. Your responsibilities will include: Take ownership for enhancing the customer experience, assisting customers by utilising consultative selling practices and guidelines to identify their needs and provide appropriate solutions Manage communication & relationship with customers, prospects and partners and maintain high levels of customer satisfaction Prepare and explain products, solutions, or services to a variety of audiences Develop sales collaterals (Business and technical presentations, Point of views, solution approaches etc.) Engage & drive end-to-end pre-sales activities for the company in Data Science & Applied AI domain Work closely with cross-functional teams (Solution Architects, Engineering team, and other sales support teams) towards meeting customer requirements Apply the right analysis frameworks and effectively collaborate with cross-functional teams to develop creative solutions to complex business problems Bring thought leadership to conversations with customers, prospects, and partners to methodically define business problems, capture requirements, scope the solution, and support the closure of the deal Researching and identifying sales opportunities, generating leads, target identification, and classification Data reporting to management and gathering market intelligence Travel to customer sites, conferences, and other related events as required Experience in outreach, lead generation, and inside sales in, particularly within India. Strong knowledge and experience working extensively in the Indian market. Preferably, experience working with the GCP Channel team. Ability to tell a compelling story in both written and oral communication, as strong articulation . Skills required: Apart from being Driven, Energetic and Ambitious, you’ll need the following: Master’s or Bachelor’s Degree in Business, Economics or Engineering Excellent communication (written & verbal), including the ability to clearly articulate complex ideas. (Mandatory) Understanding of sales cycle and sales techniques Experience of B2B sales, customer communication and relationship management is preferable Logical ability to understand client's needs and present solutions Experience in Hunting New Logos Data-driven mindset. Your plans and actions are backed by not just gut feeling but also customer/industry/market research Attention to detail and sharp acumen to propagate your views in an effective manner Knowledge and willingness to learn and apply emerging trends in business, research, data science, Machine learning, Artificial Intelligence and Cloud Technologies Excellent aptitude in business analysis and awareness of quantitative analysis techniques. Good to have: Evidence of being a strong individual contributor and committed team player. Prior success in selling data science solutions in a fast-paced start-up environment. Exposure to working in international markets, and cross-functional across different business verticals GCP technical expertise Previous experience working on AI/ML solutions What’s in it for you? The experience of working in category-defining high-growth startups in the transformational AI, Decision Science and Big Data Domain. The opportunity of getting onboarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients. Flexible, remote working options are available to foster productivity and work/life balance. Show more Show less

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 Machine Learning Engineer Experience Level: 3 to 6 Years Work location: Mumbai, Bangalore & Trivandrum Role & Responsibilities Developing high-level solution architectures and working with our offshore team of big-data engineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client’s success criteria. Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact. Building deep relationships with clients by understanding their stated but more importantly, latent needs. Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence.Researching and identifying sales opportunity, generating leads, target identification and classification Serve as a mentor or guide for junior resources / freshers. Lead the technical discussion with the clients regarding updates / risks / blockers, etc. Fluent in communication Skills expectation: Must have: Ability to think creatively and work well both as part of a team and as an individual contributor o Critical eye for the quality of data and a strong desire to get it right. A pleasantly forceful personality and charismatic communication style. Someone who will raise the average effectiveness of the team. In short, we are looking for a “Difference Maker”. 3+ years’ hands-on experience of Hands-on in model development, deployment, and operationalization of projects in statistical ML, NLP, etc o Python, with proficiency in class-based coding. Strong understanding of coding standards and CI/CD practices. o Proficient in SQL for data analytics including querying, analyzing and processing large datasets. ML development experience, particularly in statistical ML regression and classification models. NLP expertise, including embedding techniques and transformers, clustering methods. Knowledge of statistical techniques for data analysis. Understanding of MLOps basics, including model training, data/model monitoring, and retraining. Strong theoretical understanding of Machine Learning concepts, as well as DeepLearning-based architectures, cloud-based web services architecture, design patterns, and frameworks Comfortable with exploring new research and engineering/development best practices types Hands-on experience working on and handling projects in the healthcare domain would be a desired skill o Experience in implementing Deep Learning solutions about, but not restricted to, reinforcement Learning, Natural Language Processing, and Auto ML. Exposure to the latest cutting-edge research. Ability to implement a research paper, as well as augment the current solution and communicate it to clients and team Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, and predictive analysis. Good to have: Previous experience working in the healthcare domain. GenAI skills, with a focus on prompt engineering and RAG concepts. Basic hands-on experience working on projects catering to Natural Language Processing would be a good skill Worked on Databricks for Model development. Hands-on experience with statistical tools and techniques. Basics of Pyspark for data processing. o Experience with Agile/Scrum/DevOps software development methodologies. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us ! Show more Show less

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: Test Automation Engineer Experience Level: 2 -3.5 Years Location: Gurugram Notice Period :0-45 days Skill Set Needed Experience in ETL Testing Hands-on experience on SQL Experience with automation - Python scripting QA Analysis Experience, including Test strategy and Test design, Test case execution & reporting Data testing background using scripts, preferably Python Experience in development of data intensive ETL based test scripts based on technical specifications/Data design documents and Source to Target mapping- Experience working in an agile environment Experience in understanding various testing life cycle (end to end regression, automation, performance) Experience using agile tool sets: Jira, Confluence, HPLM etc. Strong analytical skills Strong communication skills required for onshore-offshore engagement models If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us ! Show more Show less

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 Test Automation Engineer Experience Level: 4+ Years Work location: Bangalore/Mumbai NP - 0-30 days Role & Responsibilities Have a strong understanding of all the phases of STLC Have a good understanding of different types of testing Involve in Manual Testing activities to meet sprint commitments. Involve in documenting Test Strategy & Test cases Work with Test Management tools like JIRA/VersionOne, QTest,etc. Log & Track defects to closure In-dept Work Experience in Manual & Automation testing is expected. Hands-on experience in Database testing and ETL testing skills. Hands-on experience in BI Report Testing(Validate data accuracy, report functionality, and visualization integrity) Hands-on experience in API Testing using SoapUI/Postman Experience in Performance Testing (Assess system scalability, response times, and load handling) Effectively communicate testing activities and findings in oral and written formats. Interact with the scrum team to understand the requirements and plan the QA activities. Effective communication with all the stakeholders involved. Required Skills In Depth knowledge of all the phases of STLC BI Tools - Experience with Power BI, Tableau, or similar platforms Experience in Manual Testing & Automation Testing Experience in API Testing using SoapUI/Postman Experience in Data Validation/ETL Testing Ability to understand data mapping sheets and data models Good Understanding of SQL databases Experience in JMeter, LoadRunner, or similar. Knowledge of programming languages like Python, Java, or SQL for automation. Communication - Strong ability to document findings and collaborate with teams. Good Understanding of Test Management & Defect Management Proven experience as a QA Engineer in a cloud-based environment especially AWS. Exposure to AWS services (Dynamodb, S3, etc) would be a plus. Basic knowledge of Agile Ability to work independently and collaboratively in a fast-paced environment Strong problem-solving skills and a proactive attitude If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us ! Show more Show less

Role: Client Solutions Partner Experience Level: 8+ years Location: Mumbai / Bangalore Role & Responsibilities: As part of the core sales and GTM team of Quantiphi, you will be responsible for execution of end-to-end sales processes in a B2B environment. Your responsibilities will include: Prepare and deliver technical presentations explaining products or services to customers and prospective customers Managing customer communication & relationships Engage & drive end-to-end pre-sales activities for business development for the company in the Data Science & Applied AI domain Ability to identify & prospect full range - Proficient in developing business collaterals based on latest developments in AI to showcase the potential of ML & AI for the enterprise Experience in handling or being hands-on for AI projects (image and video analytics, speech, NLP), Gen AI projects Work in conjunction with the Solution Architects & ML engineers to gather, analyze and prospect business problems to be solved using large volumes of quantitative and qualitative data and develop a point of view to build a solution for the problems Applying the right analysis frameworks to develop creative solutions to complex business problems Planning and executing both short-term and long-range projects and manage teamwork, and client expectations Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions Work with the team to identify and qualify business opportunities. Identify key customer technical objections and develop a strategy to resolve technical blockers. Work hands-on with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments and manage the technical relationship with Google’s customers. Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud. This includes understanding, analyzing and prospecting complex business problems to be solved using Data solutions & AI Applications in a variety of industries, including Healthcare, Media, BFSI, CPG, Retail, and many others Travel to customer sites, conferences, and other related events as required Skills required: You would be involved in the development of new business opportunities and value-added services which requires a high level of creativity, learning potential and deep quantitative subject matter expertise and therefore self-driven individuals willing to learn on the go would be preferred. Degree in Business (BBA/BBM/MBA) or Engineering Good communication, abstraction , analytical and presentation skills Experience of B2B sales , customer communication and relationship management Experience with sales forecasting, sales strategies (Monthly/Quarterly/Half yearly) Experience of channel sales partnership Strong exposure of cloud technologies like GCP, AWS, Azure etc Experience and knowledge of critical phases of the sales process which includes requirement gathering, sales planning, solution scoping, proposal writing and presentation Data driven mindset. Your plans and actions are backed by not just gut feeling but also customer/industry/market research Knowledge and willingness to learn and apply emerging trends in business research, data science, Machine learning Artificial Intelligence, Cloud Excellent aptitude in business analysis and awareness of quantitative analysis techniques Excellent communication (both written & verbal) & articulation skills (Mandatory) Strong team player and ability to collaborate with a cross functional team Self-driven and strong aptitude to work in an entrepreneurial , fast-paced environment with minimal supervision and a passion for developing new value-added AI based solutions for clients across a variety of industries. Any Cloud Professional certification is good to have. Show more Show less

Company Profile: Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous, and businesses safer. We put together a wide array of solutions that help businesses build AI products, find and retain high-value customers, improve operating efficiency, and reduce risk across several industries including but not limited to Healthcare, Insurance, Media, Retail, Manufacturing, and Consumer Products and are in partnership with Google Cloud, AWS, NVIDIA, Looker, Snowflake, SAP and Tensorflow. Role: Culture & People Partner Experience Range: 3-7 years Location: Mumbai (Hybrid) Job Summary: We are looking for smart, creative people enablers to join our team as an HR Business Partner. In this role, you will carry out our people initiatives, provide excellent support to employees and managers and drive HR programs and process improvement. Maintains an effective level of business literacy about the unit's financial position, midrange plans, culture, and competition. Roles and Responsibilities: Focus on: The responsibilities cover a broad spectrum of HR activities such as employee relations, performance management, advice related to policies/processes, career development, coaching, talent management, and change management. Employee Engagement and Relations: Partner with the business unit leaders to ensure that employees are treated equitably and consistently and following the Company policies and practices. Find the right balance between business needs and employee advocacy. Provide consultation to managers on employee engagement strategies with their teams. Conduct various initiatives like Rewards & Recognition, Employee Experience surveys, Townhall, Engagement initiatives Coaching: Provide guidance and coaching to business units through continued dialogue with management & employees via 1:1 sessions & Skip level meets that will enable them to be more successful as they lead their teams. Effectiveness: Partner with management to ensure proactive and effective performance management which includes promotions, PIP, and follow-through. Manages required employee relations investigations and other sensitive employee matters. HR Operational Activities: Provide compensation support including compensation band validation, on-time payroll inputs, and research on external branding Ensure on-time functional deliverables, and compliance with HR operations, prepare the report on the effectiveness and look for trends, and draw inferences to influence future direction. Required Skills: Master’s degree / preferably an advanced degree in Human Resources Experience in proactively taking initiative, using good judgment to prioritize requests, and working with minimal direction Prior experience in driving HR BP and Operational activities is an advantage Show more Show less

Role: Senior Engagement Manager Experience Range: 12+ years Location: Mumbai/Bangalore (Hybrid) Role & Responsibilities Guide the client on technology evaluation, technical thought leadership and direction. Take a lead in preparing functional and technical specification documents. Lead project deliveries while managing multiple responsibilities in high paced environment, where you are empowered to make a difference Constantly sync with the product & Business team to align on business priorities, and plan for long term and short-term architecture goals. Own the complete SDLC of our product(s) by managing the solutioning, engineering, testing, release and maintenance. Work closely with product owners to align on their feature backlogs and plan for engineering. Guide and help team members to debug and solve technical problems. Lead engagements with multiple work-streams; prepare project plans and manage deliverables Review and perform code walkthrough and quality reviews. Showcase thought leadership on technology roadmaps, agile development methodologies and best practices. Required Skills Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Experience in end to end delivery of large-scale product management projects. Provide governance and ensure that designs, prototypes, and solutions meet technical standards, framework and guidelines. Delivering solutions leveraging services and tools of cloud platforms like GCP/AWS/Azure Excellent client-facing skills with the ability to communicate effectively, build relationships, and influence stakeholders at all levels of the organization. Managing customer communication, relationships and escalation management. Experience leading and mentoring cross-functional teams in a dynamic and fast-paced environment and manage a midsize team of 25-40 strength. Lead engagements with multiple work-streams; prepare project plans and manage deliverables. Ability to work with minimal supervision in a dynamic and time sensitive work environment Exceptional problem-solving abilities and a proactive approach to identifying and addressing project risks and challenges. Strong organizational skills with the ability to prioritize tasks, manage multiple projects simultaneously, and meet deadlines consistently. Continuous learning attitude of the emerging technology trends and instituting innovative thinking/approach across the unit Show more Show less

Job Summary: Role : Client Solutions Partner- AppMod Experience : 8 Years+ Work location : Bengaluru/Mumbai (Hybrid) As a Client Solutions Partner you will be a part of the core sales and GTM team of Quantiphi and you will be responsible for execution of end-to-end sales processes in a B2B environment. Responsibilities: Prepare and deliver technical presentations explaining products or services to customers and prospective customers. Managing customer communication & relationships. Engage & drive end-to-end pre-sales activities for business development for the company for Application & Database Modernization Workloads Experience in selling or being hands-on for Application modernization projects. Knowledge of GenAI and understanding of how GenAI can benefit enterprises and pitching AI-powered solutions to customers Leverage in-depth knowledge of Cloud(GCP preferred) to identify and develop new business opportunities, tailoring solutions to meet client needs. Work in conjunction with the Solution Architects & Data Engineering teams to gather, analyze and prospect business problems to be solved using large volumes of quantitative and qualitative data and develop of point of view to build a solution for the problems. Planning and executing both short-term and long-range projects and manage teamwork, and client expectations. Work with the team to identify and qualify business opportunities. Identify key customer technical objections and develop a strategy to resolve technical blockers. Cultivate and maintain strong relationships with key stakeholders, ensuring high levels of customer satisfaction and loyalty. Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Cloud(Google cloud preferred). This includes understanding, analyzing and prospecting complex business problems to be solved using Data solutions & AI Applications in a variety of industries including Healthcare, Media, BFSI, CPG, Retail, and many others. Lead and mentor a dynamic sales team by setting clear goals, delivering strategic coaching, and conducting performance evaluations to drive excellence. Cultivate a results-driven culture that promotes accountability, continuous learning, and high-impact collaboration. Travel to customer sites, conferences, and other related events as required. What is Required: You would be involved in the development of new business opportunities and value-added services which requires a high level of creativity, learning potential and deep quantitative subject matter expertise and therefore self-driven individuals willing to learn on the go would be preferred. Strong team player. Degree in Business (MBA), Computer Science Engineering. Good communication , abstraction , analytical and presentation skills. Experience of B2B sales , customer communication and relationship management Experience and knowledge of critical phases of the sales process which includes requirement gathering, sales planning, solution scoping, proposal writing and presentation. Data driven mindset. Your plans and actions are backed by not just gut feeling but also customer/industry/market research. Knowledge and willingness to learn and apply emerging trends in business research, data engineering, Cloud. Excellent aptitude in business analysis and awareness of quantitative analysis techniques. Excellent communication (both written & verbal) & articulation skills (Mandatory). Strong team player and ability to collaborate with a cross functional team. Experience with sales reporting. Self-driven and strong aptitude to work in an entrepreneurial , fast-paced environment with minimal supervision and a passion for developing new value-added data based solutions for clients across a variety of industries. What’s in it for you? The experience of working in a category defining high growth startups in the transformational AI, Decision Science and Big Data Domain. The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients. Flexible working options available to foster productivity and work/life balance. Show more Show less

Role: Engagement Manager Experience Level: 8 to 12+ Years Work location: Mumbai/Bangalore/Trivandrum (Hybrid) Key Responsibilities: Serve as the trusted advisor to customers throughout their lifecycle with Dociphi. Build strong, long-lasting relationships with key stakeholders at all levels, ensuring high customer satisfaction and ongoing collaboration. Understand client needs and work with internal teams to deliver tailored solutions that align with customer objectives. Lead end-to-end delivery of Dociphi solutions, including planning, scoping, and execution. Manage multiple projects simultaneously, ensuring timely delivery, within scope and budget. Define project timelines, deliverables, and KPIs, ensuring alignment with customer expectations and internal objectives. Monitor project progress, mitigate risks, and address potential challenges to ensure a smooth implementation. Work closely with sales, product, engineering, and support teams to ensure smooth implementation and delivery of solutions. Ensure proper documentation, handover processes, and post-delivery support to maintain high-quality customer service. Oversee the onboarding of new customers, ensuring that they are set up for success with Dociphi’s solutions. Drive product adoption by helping customers leverage the full capabilities of the platform. Provide training, best practices, and continuous support to clients to ensure smooth transitions during deployment. Develop and present regular reports to clients, highlighting project status, milestones, and value delivered. Track and measure customer success metrics, adjusting the approach as necessary to drive further success. Gather feedback from customers to identify opportunities for process improvements, feature enhancements, and customer satisfaction. Share insights with the product and development teams to influence product development and innovation. Skills & Qualifications Education : Bachelor’s degree in Business, Technology, or a related field (Master’s preferred). Experience : 5+ years of experience in project management, customer success, or engagement roles, ideally in a SaaS or AI-driven environment. Domain knowledge in Finance or Insurance is a strong advantage, as understanding industry-specific needs and workflows is crucial. Experience working with document automation or AI technologies is a plus. Proven track record of managing customer relationships and delivering complex projects on time and within budget. Skills : Excellent project management and organizational skills. Strong problem-solving and critical-thinking abilities. Exceptional communication and interpersonal skills, with the ability to influence at all levels. Ability to navigate complex client requirements and translate them into actionable delivery plans. Proficient with project management tools (e.g., Jira, Asana, Trello, etc.) and Microsoft Office Suite (Excel, Word, PowerPoint). Knowledge of GenAI technologies (e.g., Generative AI, NLP) is a distinct advantage, as it enhances your ability to leverage the full potential of Dociphi’s solutions. Show more Show less

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 - Machine Learning Experience Level: 5 to 9 years Location: Bangalore / Mumbai (Hybrid) Roles and Responsibilities: As a core member of the Churn Modelling team, you will contribute to the technical design and implementation of churn prediction solutions, ensuring they align with project goals and architectural standards. Staying up to date with the latest advancements in churn prediction techniques, statistical modelling, and machine learning, and applying these to improve existing solutions. Communicating complex technical concepts in a clear and concise way to technical and non-technical stakeholders, including business analysts and customers. Designing and implementing data pipelines for churn modelling, including data pre-processing, feature engineering, and model deployment. Collaborating with cross-functional teams to identify business needs and provide technical guidance on churn prediction initiatives. Contributing to the development of best practices and standards for churn modelling within the organization. Participating in direct customer interactions to understand business requirements and present technical solutions. Skill Set Needed: Experience for 5 to 9 years in building end-to-end Machine Learning pipelines, with a focus on churn prediction. Strong proficiency in Python, including libraries such as NumPy and Pandas for data manipulation and analysis. Experience with data visualization tools and techniques to effectively communicate insights from churn data. Proven ability to understand business requirements and translate them into technical solutions for churn prediction. Hands-on experience with GCP Services relevant to ML workflows, such as BigQuery for data warehousing, GCS Bucket for data storage, Vertex AI for model training and deployment, and Cloud Run for serving models. Experience with model interpretability and Explainable AI (XAI) techniques to understand the drivers of churn. Experience working with Big Data technologies and performing ETL processes. Strong SQL skills for data extraction and manipulation. Expertise in applying statistical and machine learning models for churn prediction, including Logistic Regression, Random Forest, XGBoost, etc. Strong communication skills with the ability to interact directly with customers to gather requirements and present solutions. Experience with Time Series Analysis and Survival Analysis techniques for churn prediction. Knowledge of Graph-based techniques for clustering and analyzing customer dynamics. Familiarity with Recommender Systems and their potential application in churn prevention. Understanding of Control Theory concepts, particularly as applied in Reinforcement Learning for optimizing customer retention strategies (Good to Have). Programming Language: Python Cloud Platform: GCP Good to Have: Experience with MLOps practices for deploying and managing churn models in production. Familiarity with other cloud platforms (e.g., AWS, Azure). Experience with A/B testing and experimentation for evaluating churn prevention strategies. Contributions to open-source projects related to machine learning or churn prediction. If you like wild growth and working with happy, enthusiastic over-achievers, you'll 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 & Responsibilities Lead the design, implementation, and continual improvement of the Quality Management System (QMS) aligned with relevant international standards (e.g., ISO 9001, ISO 13485, AS9100, IATF 16949). Ensure seamless integration of QMS into business processes across functions such as manufacturing, engineering, R&D, and operations. Develop, review, and approve quality documentation including manuals, procedures, work instructions, and records. Plan and manage changes to QMS while assessing and addressing associated risks and opportunities. Plan, conduct, and oversee internal and external audits (first, second, third-party), including certification and regulatory inspections. Manage closure of non-conformities, ensuring timely verification of corrective and preventive actions (CAPAs). Monitor QMS performance using data analysis and KPIs; identify trends and drive continuous quality improvements. Lead quality improvement initiatives using Lean, Six Sigma, Kaizen, Root Cause Analysis, and other methodologies. Provide leadership and mentorship to promote a strong culture of quality across the organization. Develop and deliver training programs on quality standards and best practices. Collaborate with cross-functional teams to embed quality principles into all operational aspects. Communicate audit findings and quality performance reports to senior management and stakeholders clearly and effectively. Stay current with industry trends, regulations, and quality standards to maintain compliance and competitive advantage. Primary Skill Experience Level: 8+ Years 5 to 10+ years of progressive experience in Quality Management or Quality Systems roles. Proven expertise in QMS implementation, maintenance, and continuous improvement. Experience managing quality audits and regulatory compliance in regulated industries such as medical devices, pharmaceuticals, or related fields. Strong knowledge of quality standards such as ISO 9001, ISO 13485, AS9100, IATF 16949. Proficiency in quality management software and tools (e.g., eQMS, CAPA, Document Control systems). Deep understanding of statistical process control, risk management frameworks (e.g., FMEA), and quality control techniques. Experience with data management and visualization tools such as Tableau, Power BI, or Qlik. Relevant certifications like ISO 9001 Lead Auditor (CQI/IRCA), ASQ CQE/CQM/CQA, Six Sigma Green/Black Belt preferred. PMP, SCRUM, or SAFe certifications are a plus. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us ! Show more Show less

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 & Responsibilities We are looking for a Senior Engagement Manager who is motivated to combine the art of management of people, processes and technologies to provide solutions that are robust and scalable as per customer needs. Some Of The Responsibilities Would Include Be the champion of project delivery using Scrum methodology Effective resource management to ensure high utilization of resources Manage customer relationships and ensure customer success and satisfaction Oversee project financials and optimize margins Monthly invoicing to the customers for the services delivered Stay connected with the team to understand their sentiment Closely work with the internal support functions to run the delivery operations smoothly Collaborate with internal and external stakeholders Must Have Skills Experience Level: 12+ years Be a trusted advisor to customers and solve complex problems in the healthcare and life sciences sphere. Develop comprehensive project plans that aligns customer requirements with customer objectives Coordinate with various Business stakeholders and IT Business Partners/ Architects during all the project phases, from initial scoping to final implementation Monitor project progress continuously and make detailed scheduled reports on measurable items, such as milestones and deliverables Communicate proactively with the team members to provide encouragement, identify problems, create solutions, and implement efficiency improvements Facilitate all events across the teams including backlog refinement, iteration planning, daily standups, and retrospectives Assist the stakeholders and product owners in maintaining roadmaps and ensuring technical feasibility, capacity/resource allocation, risk analysis, inter-team, and department dependencies Create documentation in partnership with product owners and engineering leads Use tools, cadences, and communication to effectively create and maintain visibility, track progress, escalate blockers, run sprint reports, collect metrics, and drive relentless improvement If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us ! Show more Show less

Research Engineer, Applied Research (Biotech AI – Drug Discovery) About the Company Quantiphi is an award-winning AI-first digital engineering company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth YoY since its inception in 2013 to 3500+ team members globally. For more details, please visit our website or LinkedIn page. About the Applied Research Unit Applied Research is an R&D practice at Quantiphi focused on advancing the frontiers of AI technologies with Applied Machine Learning at its core. We ideate and build novel solutions to high-impact, cutting-edge challenges, with a focus on advanced prototyping and scalable proof of concepts. Within this unit, the AI-Accelerated Drug Discovery practice is a key pillar that aims to apply state-of-the-art AI methodologies to revolutionize the way new therapeutics are discovered and developed. We are committed to driving meaningful scientific breakthroughs by combining strong AI research with deep cross-disciplinary collaboration. Job Description Role Level: Research Engineer Work Location: India Resource Count: 2 The Role This is a unique opportunity to work on scientifically impactful problems at the intersection of AI and biotechnology within Quantiphi Applied Research team. In this role, you will work on the development of core AI models and algorithms aimed at accelerating the drug discovery process. The position focuses on advancing foundational AI techniques such as generative modeling, optimization, and reinforcement learning, applied to molecular and bio-pharmaceutical data. The position involves working with a diverse, lively, and proactive group of nerds who are constantly raising the bar on translating the latest AI research in Healthcare and Life Sciences into tangible reusable assets for the community. Hence this would require a high level of conceptual understanding, attention to detail and agility in terms of adaptation to new technologies. While prior experience in the biotech or life sciences domain is highly valued and will elevate the candidate profile, we are equally open to exceptional AI/ML researchers from other domains who are excited to explore and learn the nuances of this rapidly growing field . Please note: This is a core AI research role, not a software engineering or system integration position. We are particularly keen to engage with candidates focused on scientific AI innovation rather than application development or LLM/GenAI-centric workflows . Responsibilities Stay ahead of the AI research curve, focusing on foundational AI methodologies applicable to drug discovery and molecular design. Build rapid prototypes, conduct detailed experimental studies, and develop advanced AI models in areas such as generative modeling, reinforcement learning, graph-based learning, and molecular property prediction. Work closely with interdisciplinary teams including biologists, chemists, and life science domain experts to design scientifically sound AI approaches. Contribute to Quantiphi IP portfolio through the development of novel algorithms, proof of concepts, and potential publications. Drive thought leadership through documentation, knowledge dissemination, and participation in conferences, blogs, webinars, and publications. Publish Research papers in prestigious Conferences and Journals Requirements Must Have: Master’s degree, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Minimum work experience required : from new graduates to 3+ yrs of research experience post graduation (in ML research) Strong foundation in AI/ML concepts with hands-on experience in model development, experimental design, and large-scale data analysis. Excellent in-depth understanding of ML concepts and the respective underlying mathematical know-how. Working knowledge of using NLP with biological sequences. Solid research mindset with a track record of working on complex AI problems—experience with drug discovery datasets is a plus but not a prerequisite. Excellent programming skills in Python, with experience using AI/ML frameworks like PyTorch or TensorFlow. Hands-on experience in developing and deploying models with various deep learning architectures in multiple ML areas like Computer-Vision, NLP, Statistics etc Ability to independently learn new scientific domains and apply AI techniques to novel bio-pharmaceutical problems. Strong communication skills with the ability to present complex ideas in an accessible format across audiences. Ability to translate abstract highlights into understandable insights in multiple knowledge-dissemination formats like blogs, presentations, paper-publications, tutorials and webinars Good to Have: Prior exposure to molecular datasets, cheminformatics, bioinformatics, or life sciences. Hands-on experience with insilico techniques in drug discovery Hands-on experience with HPC workflows with genome datasets Familiarity with generative chemistry models, graph neural networks, reinforcement learning, or multi-objective optimization. Demonstrated industry research experience will be considered as an additional bonus. Research publications in AI/ML conferences such as NeurIPS, ICML, ICLR, or relevant bioinformatics journals Experience with cloud environments like GCP or AWS and scalable model training. Strong classical education on math/physics/mechanics/CS/Engineering concepts will also be an advantage. Why Join Us? Opportunity to work at the cutting edge of AI and biotechnology, solving problems with real-world scientific impact. Exposure to interdisciplinary teams and a culture that encourages continuous learning and exploration. Contribute to an R&D environment that values curiosity, innovation, and the advancement of AI for good. Show more Show less

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 - Machine Learning Experience: 6 to 9 Years Location: Mumbai/Bangalore/Trivandrum Must Have Skills 6+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS. 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. Good Experience developing applications using LLMs with Langchain. Must have experience using GenAI frameworks such as vertexAI, OpenAI, AWS Bedrock. Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2. Must have Hands-on experience working with (Retrieval Augmented Generation) RAG architecture and experience using vector indexing such as Opensearch, Elasticsearch. Strong familiarity with higher-level trends in LLMs and open-source platforms. Should have experience with Deep Learning Concepts. Transformers, BERT, Attention models Prompt Engineering: Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. Implement and manage MLOps principles and best practices for Gen AI models Thorough understanding of NLP techniques for text representation and modeling Able to effectively design software architecture as required Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.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 Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc. Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions. Good To Have Skills Experience of working for customers/workloads in the Edtech domain with use cases. Experience with software development If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us ! Show more Show less

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 - Software Development Experience : 6 to 9 Years Work Location : Mumbai / Bangalore Job Responsibilities: Collaborate in the design and development of scalable backend services and APIs using Python and FastAPI Build and optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases. Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis). Contribute to the development of user-facing components for agent configuration and data visualization using JavaScript and React. Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents. Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone). Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex) and tool-calling. Support DevOps initiatives by using Git, Docker, and maintaining CI/CD pipelines. Promote agile methodologies, conduct code reviews, and maintain high-quality documentation. Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions. Mentor junior engineers, contribute to technical strategy, and drive innovation. Job Requirements: Back-End Development (Required) - Proven experience in Python development, with a track record of building scalable backend services using FastAPI for RESTful APIs and WebSocket communications. Solid understanding of ORMs, relational database schema design (PostgreSQL, MySQL), and effective use of caching layers (Redis). Working knowledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform. DevOps & Software Engineering Practices (Required) - Proficient in version control with Git and containerization with Docker Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable. Proficient in agile development methodologies and conducting thorough, constructive code reviews. AI/ML Integration (Desired) - Experience architecting end-to-end AI applications and integrating LLMs into backend workflows. Practical knowledge of prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling implementations. Background in designing and deploying RAG pipelines, with experience selecting and using Vector Databases (Milvus, PGVector, Pinecone). Awareness of MLOps practices and tools for model deployment and serving (e.g., NVIDIA Triton, KServe) Understanding of Model Context Protocol (MCP) and Agent-to-Agent Toolkit for advanced agentic workflows. Front-End Development (Desired) - Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization. Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively. If you like wild growth and working with happy, enthusiastic over-achievers, you'll 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 - Software Development Experience : 6 to 9 Years Work Location : Mumbai / Bangalore Job Responsibilities Collaborate in the design and development of scalable backend services and APIs using Python and FastAPI Build and optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases. Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis). Contribute to the development of user-facing components for agent configuration and data visualization using JavaScript and React. Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents. Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone). Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex) and tool-calling. Support DevOps initiatives by using Git, Docker, and maintaining CI/CD pipelines. Promote agile methodologies, conduct code reviews, and maintain high-quality documentation. Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions. Mentor junior engineers, contribute to technical strategy, and drive innovation. Job Requirements Back-End Development (Required) - Proven experience in Python development, with a track record of building scalable backend services using FastAPI for RESTful APIs and WebSocket communications. Solid understanding of ORMs, relational database schema design (PostgreSQL, MySQL), and effective use of caching layers (Redis). Working knowledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform. DevOps & Software Engineering Practices (Required) - Proficient in version control with Git and containerization with Docker Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable. Proficient in agile development methodologies and conducting thorough, constructive code reviews. AI/ML Integration (Desired) - Experience architecting end-to-end AI applications and integrating LLMs into backend workflows. Practical knowledge of prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling implementations. Background in designing and deploying RAG pipelines, with experience selecting and using Vector Databases (Milvus, PGVector, Pinecone). Awareness of MLOps practices and tools for model deployment and serving (e.g., NVIDIA Triton, KServe) Understanding of Model Context Protocol (MCP) and Agent-to-Agent Toolkit for advanced agentic workflows. Front-End Development (Desired) - Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization. Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively. If you like wild growth and working with happy, enthusiastic over-achievers, you'll 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! If you like wild growth and working with happy, enthusiastic over-achievers, you'll 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: Senior Cyber Security Engineer Experience Level: 3+ Years Work location: Mumbai, Bangalore & Trivandrum Role & Responsibilities Develop a complete understanding of a company’s technology and information systems. Design, build, implement and support enterprise-class security systems. Identify and communicate current and emerging security threats Plan, research and design robust security architectures for any IT project. Perform or supervise vulnerability testing, risk analyses and security assessments. Create solutions that balance business requirements with information and cybersecurity requirements. Identify security design gaps in existing and proposed architectures and recommend changes or enhancements. Set up and support code security and infrastructure security activities of DevSecOps Pipeline. Must have experience in cloud concepts and perform assessment and implementation of new technologies within the cloud. Use current programming language and technologies to write code, complete programming and perform testing and debugging of applications. Provide supervision and guidance to development and security teams. Define, implement and maintain corporate security policies and procedures. Respond immediately to security-related incidents and provide thorough remedial solutions and analysis. Required Skills Experience in automating security tools and processes ensuring innovation and advancement strategies that keep pace in the areas of access control, security-in-depth, secure transaction processing, secure coding practices. Experience in working in a high paced DevSecOps or SecOps environment with hands-on experience in Docker, Kubernetes and Cybersecurity tools like IDS, SIEM, SAST/DAST Scanners, EDR Experience in conducting and facilitating security reviews, threat modelling including deep design reviews throughout the development lifecycle to identify all the threats the systems are exposed to and recommended mitigations controls to address those threats. Hands-on knowledge in Cloud Security and AWS / GCP / Azure (good hands-on experience in at least one of them preferably GCP) Experience in performing penetration testing activities on Internal and large scale cloud infrastructure Hands-on experience in performing threat modelling and web application security assessments Experience in evaluating and implementing industry leading third party security tools and software Hands-on experience in performing vulnerability assessment and management via automation Effective communication skills with all the stakeholders involved. Skills to communicate clearly about complex subjects and technical plans with technical and non-technical audiences. Ability to identify risks associated with business processes, operations, technology projects and information security programs If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !

Designation : Senior Software Engineer Experience in Years : 4 to 7 years Job Location : Chennai (Hybrid) Skills - Required: Front-End: Proficiency in Angular; any other JavaScript experience would be a plus. Back-End: Strong hands-on experience in Java/Python, Microservices architecture, and API design & integration. Experience building scalable, high-performance systems. Solid understanding of database design; exposure to NoSQL databases is a plus. Familiarity with Unix/Linux environments, scripting, and associated tools. Strong problem-solving skills with experience designing system architecture for complex solutions. Knowledge of Object-Oriented Programming (OOP) and Design Patterns. Experience with Test-Driven Development (TDD) and Agile methodologies. Strong communication skills and experience with tools like Git. Self-starter with a strong drive to learn and mentor. Exposure to Google Cloud Platform (GCP) and services like BigQuery, DataProc, Dataflow is a big plus. Role & Responsibilities: Develop, enhance, modify, and maintain applications in the Global Markets environment. Design, code, test, debug, and document programs, while also supporting activities for the corporate systems architecture. Partner with business teams to define requirements for system applications. Create clear and comprehensive technical specifications and documentation. Maintain in-depth knowledge of current development tools, languages, and frameworks. Supervise and mentor a small team of associates, providing coaching and performance management input. Stay up to date on new technology trends and research best practices to achieve optimal results. Perform additional technical duties as required What’s in it for you? The experience of working in a category defining high growth startups in the transformational AI, Decision Science and Big Data Domain. The opportunity of getting on board to the phenomenal growth journey and helping the customers take the next big leap in digital transformation The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.