Google Cloud Platform GCP Jobs in Mumbai

Position Title: Senior Manager Generative AI & Innovation Lead Location: Mumbai Department: Data Science, AI & Innovation Job Summary We are looking for a forward-thinking and execution-focused Generative AI & Innovation Lead to drive AI-led transformation in the lending industry. In this high-impact role, you will be responsible for identifying, prototyping, and scaling cutting-edge generative AI solutions that enhance efficiency, improve customer experiences, and streamline business processes across the organization. This position is ideal for a passionate innovator who understands the rapidly evolving AI landscape and can bridge the gap between advanced technologies and real-world business needs particularly in financial services. Key Responsibilities Strategic Innovation Leadership Lead AI innovation initiatives by identifying high-impact generative AI use cases across the lending value chain. Develop and own the roadmap for generative AI adoption aligned with key business objectives. Act as a catalyst for organization-wide transformation through AI-powered solutions. Technology & Ecosystem Awareness Stay on top of the latest advancements in LLMs, multimodal AI models, and agentic frameworks. Evaluate enterprise platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, and open-source alternatives. Build internal awareness of emerging technologies and their potential applications. Competitive & Market Intelligence Benchmark AI adoption in financial services and lending industries. Analyze competitor strategies and identify whitespace opportunities and unmet customer needs. Use Case Development & Experimentation Collaborate with business, data science, and tech teams to prioritize and validate high-impact use cases. Rapidly design and develop proof-of-concepts (POCs) with measurable success metrics. Scale validated solutions into production with focus on usability, scalability, and business ROI. Agile & Lean Execution Foster a fail-fast, learn-fast culture with cost-efficient experimentation. Promote lean innovation and lead internal evangelism for AI-driven transformation. Cross-functional Collaboration Partner with engineering, data science, product, compliance, and legal teams for ethical, scalable deployment. Ensure adherence to governance standards, including explainability, fairness, and regulatory compliance. Qualifications & Experience Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus. 2+ years of experience in AI/ML, with at least 1 year hands-on in Generative AI. Proven track record of leading innovation or AI-driven initiatives, preferably in lending or financial services. Deep understanding of the lending lifecycle, including underwriting, collections, risk models, and regulatory frameworks. Hands-on experience with LLMs (e.g., GPT, Claude, Mistral, LLaMA), embedding models, prompt engineering, and vector databases. Familiarity with cloud platforms (AWS, Azure, GCP) and orchestration tools like LangChain, Haystack. Excellent communication, leadership, and stakeholder management skills. Preferred Skills Experience with synthetic data generation, document AI, conversational AI, or autonomous agents. Understanding of ethical AI, privacy laws, and compliance standards in financial services. Exposure to startups or intrapreneurial roles in launching new AI products or platforms. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Snowflake Developer Location: Mumbai Experience: 6+ years Key Responsibilities: Design & Development: Design and develop data models, schemas, and pipelines in Snowflake. ETL/ELT Implementation: Implement ETL/ELT processes using Snowflake Snowpipe, Streams, and Tasks. Performance Optimization: Optimize query performance, indexing, clustering, and partitioning for large datasets. Stored Procedures & UDFs: Develop stored procedures, UDFs, and views to support business logic. Security & Governance: Manage Snowflake security, role-based access control (RBAC), and data governance. Integration: Integrate Snowflake with various data sources using Python, AWS/Azure/GCP, or ETL tools like Informatica, dbt, Talend, etc. Best Practices: Implement best practices for data warehousing, data lake, and real-time analytics. Collaboration: Work closely with Data Engineers, BI teams, and Analysts to support reporting and analytics. Requirements: Experience: 6+ years of experience working with Snowflake and cloud data platforms. SQL Expertise: Strong expertise in SQL, performance tuning, and optimization. ETL/ELT Tools: Experience with ETL/ELT tools such as dbt, Matillion, Talend, or Informatica. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, Data Factory, or Cloud Functions. Data Modeling: Knowledge of data modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables). Scripting: Experience with Python/Shell scripting for automation and data transformations. CI/CD: Understanding of CI/CD for Snowflake development using Git, Terraform, or dbt. Security & Compliance: Strong knowledge of Snowflake security, access controls, and compliance standards. Communication: Excellent communication skills to effectively collaborate with cross-functional teams. If you're a skilled Snowflake Developer looking to work in a dynamic environment and bring innovative solutions to the table, apply now for the position in Mumbai!

About Us At Quantiphi, technology is the foundation of our business, but our true strength lies in our global and diverse culture. We take pride in fostering an environment built on transparency, diversity, integrity, continuous learning, and growth. If you re looking for a workplace that encourages innovation and supports your growth both professionally and personally Quantiphi is the perfect fit for you. Role & Responsibilities As a Looker Developer, you will play a key role in building and maintaining data models, developing impactful visualizations, and ensuring optimal performance of our Looker platform. You will collaborate with stakeholders to transform complex data into actionable insights, empowering teams to make data-driven decisions. Key Responsibilities: Create and maintain LookML code to define data models, dimensions, measures, and relationships within Looker. Develop reusable LookML components to streamline and standardize dashboard creation. Design and customize dashboards with effective data visualizations (charts, graphs, etc.) to present insights clearly. Write complex SQL queries to extract and manipulate data as needed, optimizing for performance. Identify and resolve performance bottlenecks impacting report and dashboard loading times. Optimize Looker performance through query tuning, caching strategies, and exploring indexing options. Configure user roles and permissions to manage access and enforce data security best practices (including row-level and field-level security). Leverage Looker APIs, SDKs, and the extension framework where necessary to build custom solutions. Use version control tools like Git to manage LookML code changes and collaborate with development teams. Provide training and support to business users, enabling them to effectively leverage Looker for their analysis needs. Troubleshoot and resolve technical issues related to data models, reports, and dashboards. Skills & Experience Required Hands-on experience with LookML and a strong understanding of Looker s data modeling framework. Strong SQL skills with the ability to write and optimize queries across different SQL dialects (preferably GCP/BigQuery). Knowledge of data modeling best practices and practical experience in building efficient data models. Proficiency in ETL processes for data transformation and preparation. Ability to design visually compelling and user-friendly dashboards within Looker. Performance tuning expertise, including query optimization, caching strategies, and indexing. Familiarity with related tools such as BigQuery, Apache Spark, and Python for data transformations. Strong analytical and problem-solving capabilities. Knowledge of data governance principles to ensure data quality, privacy, and compliance. Excellent understanding of advanced Looker features such as liquid variables, complex derived tables, caching, and PDTs (Persistent Derived Tables). Strong troubleshooting skills to identify root causes and effectively resolve issues related to data modeling, queries, and dashboards. Willingness to stay updated with the latest features and advancements in Looker and data analytics. Nice to Have Experience creating end-to-end documentation for data models, processes, and reports. Familiarity with cloud platforms (GCP, AWS, or Azure) and their data ecosystems. Exposure to advanced scripting for automation and monitoring within the BI environment. If you re excited about working in a fast-paced, collaborative environment with a team of enthusiastic over-achievers, Quantiphi is the place to be!

About Seclore At Seclore, we are entrepreneurs, not employees a passionate team solving complex problems with cutting-edge, patent-pending technology. We challenge the status quo, take on industry giants, and thrive on meritocracy and innovation. Recognized as a "Great Place to Work" in both India and the USA, we take pride in building a culture of risk-taking, learning, and impact. Seclore is a global leader in Data-Centric Security, protecting highly confidential information across Fortune 100 companies, nuclear projects, and pharmaceutical innovations. Our award-winning technology enables organizations to control how their data is used even after sharing it externally. The Role We are seeking a highly skilled Cloud Architect to design, implement, and optimize our cloud infrastructure with a strong focus on security. This role demands strategic thinking, hands-on expertise, and collaboration with cross-functional teams to ensure scalable, resilient, and secure cloud solutions. Key Responsibilities Design & Optimize Cloud Infrastructure: Architect secure and scalable cloud solutions. Automation & DevOps: Implement automated cloud solutions using industry-standard tools. Monitoring & Security: Manage cloud monitoring, alerting systems, and security integrations. Incident Response & Ops Management: Define operational support processes and ensure adherence to policies. Collaboration: Work closely with SOC teams to integrate cloud security into overall operations. Cost Optimization: Implement strategies to optimize cloud expenses while maintaining performance. Minimum Qualifications Technical Degree: Engineering or MCA from a reputed institute. Experience: 8+ years in cloud technologies, 5+ years in AWS. Cloud Expertise: Proven experience managing multiple AWS production workloads. Scripting: Proficiency in Python & Bash. Containerization: Experience with Docker, Kubernetes, and their security implications. IaC & Automation: Hands-on experience with Terraform/CloudFormation. Security-Focused: Strong understanding of secure cloud architecture & DevSecOps practices. Certifications (Preferred): AWS Certified Solutions Architect / Security Specialty. Work on Industry-Leading Security Tech Collaborate with Global Enterprises Innovate & Solve Real-World Problems Competitive Salary & Benefits Be part of a team shaping the future of data security! Qualification : A technical degree (Engineering, MCA) from a reputed institute.

About the job As an AI Sales Specialist, you will be responsible for growing our AI business by building and expanding relationships with new and existing customers. You will possess the necessary promoting skills to effectively build relationships with both Cloud Field Sales Representatives (FSRs), Customer Engineers (CEs) as well as new and existing customers. You will develop relationships with external customer stakeholders, identifying innovative ways to multiply your impact and the impact of the team as a whole. You will partner with internal Google Cloud Platform (GCP) Sales teams to grow their AI businesses and drive overall value for GCP. Business cycles will include a combination of productivity use cases, as well as working with product teams to help our customers build new products leveraging our AI. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts. Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your territory s business. Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience. Develop and execute strategic account plans informed by our responsible AI framework across an assigned territory or market. Work with multiple customers and opportunities simultaneously, understanding each customer s technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies. Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in promoting IT business solutions and executing a territory business strategy. Experience partnering with technical staff to build business cases and implementation plans. Experience identifying and driving use cases to solve customer problems. Preferred qualifications: Experience working with and managing partners in complex implementation projects including global system integrators and packaged software vendors. Experience with promoting the AI technology stack. Experience working with product teams and an understanding of how to embed our technology into their product set. Familiarity with Google Cloud and Google Cloud AI offerings. Ability to connect AI/ML with business value and engage executive stakeholders as an advisor and thought leader. Ability to drive business growth across a broad set of industry-specific AI/ML use cases.

about the role DevOps Engineer with experience in developing, automating and debugging digital CI/CD pipelines with help of verity of automation tools and technology on Public Cloud. key responsibilities This position will be responsible to consult with clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other. Be the first one to experiment on new age cloud offerings, help define the best practise as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels Continually augment skills and learn new tech as the technology and client needs evolve Use your experience in Google cloud platform, AWS or Microsoft Azure to build hybrid-cloud solutions for customers Provide leadership to project teams, and facilitates the definition of project deliverables around core Cloud based technology and methods Define tracking mechanisms and ensure IT standards and methodology are met; deliver quality results Participate in technical reviews of requirements, designs, code and other artifacts Identify and keep abreast of new technical concepts in google cloud platform Security, Risk and Compliance - Advise customers on best practices around access management, network setup, regulatory compliance and related areas preferred qualifications Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So unfortunately we might have to look for the Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better. We will find you faster if you specify the latter in some manner. Not just degree, but we are not too thrilled by tech certifications too ... :) To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong desire to deliver' outlives those fancy degrees! 5 - 10 years of experience with at least 2 - 3 years of hands-on experience in Cloud Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise environment Good analytical, communication, problem solving, and learning skills Knowledge on programming against cloud platforms such as Google Cloud Platform and lean development methodologies

We are looking for a Solutions Architect to be part of our Professional Services team to deploy cloud products and services for our customers. This person must be a hands-on, self-starter who loves solving innovative problems in a fast-paced, agile environment. The ideal candidate will have the insight to connect a specific business problem and Snowflake s solution and communicate that connection and vision to various technical and executive audiences. The person we re looking for shares our passion about reinventing the data platform and thrives in the dynamic environment. That means having the flexibility and willingness to jump in and get done what needs to be done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for Snowflake, System Integrators and customers. And it means working collaboratively with a broad range of people both inside and outside the company. AS A SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL: Be a technical expert on all aspects of Snowflake Guide customers through the process of migrating to Snowflake and develop methodologies to improve the migration process Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments Provide guidance on how to resolve customer-specific technical challenges Support other members of the Professional Services team develop their expertise Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake s products and marketing. OUR IDEAL SOLUTIONS ARCHITECT WILL HAVE: Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role Experience migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform University degree in computer science, engineering, mathematics or related fields, or equivalent experience Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools Strong skills in databases, data warehouses, and data processing Extensive hands-on expertise with SQL and SQL analytics Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, etc.) Software development experience with C/C++ or Java.Scripting experience with Python, Ruby, Perl, Bash. Ability and flexibility to travel to work with customers on-site BONUS POINTS FOR THE FOLLOWING: Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau) Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack, etc.) Experience implementing ETL pipelines using custom and packaged tools Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data pipeline Experience selling enterprise SaaS software Proven success at enterprise software WHY JOIN OUR PROFESSIONAL SERVICES TEAM AT SNOWFLAKE? Unique opportunity to work on a truly disruptive software product Get unique, hands-on experience with bleeding edge data warehouse technology Develop, lead and execute an industry-changing initiative Learn from the best! Join a dedicated, experienced team of professionals. Snowflake is growing fast, and we re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. Qualification : University degree in computer science, engineering, mathematics or related fields, or equivalent experience

Job Title: AWS Cloud DevOps Lead Location: Mumbai, India Experience: 8-12 years Education: Bachelor s Degree + AWS Certification (preferred) Job Summary We are looking for a dynamic AWS Cloud DevOps Lead to lead our team of 10-15 DevOps and Cloud engineers based in Noida. You will play a key role in driving DevOps adoption, managing cloud infrastructure, and ensuring robust automation and operational excellence across our AWS environments. Key Responsibilities Lead, mentor, and manage a team of DevOps and Cloud engineers. Drive the design, implementation, and deployment of cloud-based enterprise solutions. Understand and work with diverse application architectures (Monolithic, SOA, Microservices, Event-driven). Develop application architectures and create Scope of Work (SoW) documents for technical deployments. Manage technology infrastructure engineering, operations, and management of on-prem and cloud-based production systems, ensuring high availability, scalability, and performance. Innovate and create new automation, tooling, and security processes to enhance product/service reliability and efficiency. Collaborate closely with cloud administrators, developers, and cross-functional teams. Oversee budgeting and resource allocation for technology infrastructure and cloud computing. Lead customer interactions for technical requirement gathering and use case mapping with AWS services. Implement automation in the SDLC to reduce time to market and minimize errors. Administer and troubleshoot automation tools and processes, taking corrective actions proactively. Basic Qualifications & Experience 5+ years of cloud experience, with a strong focus on designing, maintaining, and administering large production environments. 7+ years hands-on Linux administration experience (Ubuntu preferred). 5+ years experience with cloud platforms (AWS preferred, GCP/Azure exposure a plus). Strong experience with Infrastructure as Code (IaC) and configuration management tools such as Terraform and Ansible (5+ years). Hands-on experience with AWS CloudFormation, CodePipeline, CodeDeploy, and AWS Console/CLI. Proficient with scripting languages: Python (with AWS Boto), Bash, PowerShell. Experience with CI/CD tools including GitLab CI, Jenkins, CircleCI (5+ years). Kubernetes experience (EKS preferred) with 3+ years managing container orchestration. Experience with MongoDB (self-hosted and Atlas) for 3+ years. Knowledge of infrastructure automation tools such as Chef, Puppet, or Ansible (minimum 2). Strong understanding of IT infrastructure including hypervisors, SDN, serverless, and containerized environments. Experience in customer-facing roles for technical requirement gathering and solution design. Proven team leadership and people management skills. AWS certification(s) highly preferred. Technical Skills Cloud Platforms: AWS (primary), GCP, Azure Container Orchestration: Kubernetes (EKS) Infrastructure Automation: Terraform, Ansible, CloudFormation, Chef, Puppet CI/CD: GitLab CI, Jenkins, CircleCI Scripting: Python (Boto), Bash, PowerShell OS Administration: Linux (Ubuntu), Windows Databases: MongoDB (self-hosted and Atlas) Join us to lead the transformation of cloud infrastructure and DevOps practices at scale!

AI/ML Developer Location: Mumbai Experience: 5+ years Key Responsibilities: AI/ML Solutions Development: Develop, deploy, and maintain scalable AI/ML solutions tailored to the healthcare industry. Data Preprocessing & Structuring: Collaborate with data engineers and analysts to preprocess, clean, and structure healthcare data for machine learning applications. Model Design & Implementation: Design and implement machine learning models for real-world healthcare challenges like patient readmission prediction, disease progression modeling, and medical image analysis. Production Integration: Integrate AI/ML solutions into production environments, ensuring models are efficient, reliable, and meet client goals. Client Collaboration: Work with healthcare clients to define project requirements and KPIs, ensuring the solution brings measurable value. AI/ML Advancements: Stay up to date with the latest advancements in AI/ML, particularly in healthcare, and integrate new techniques to improve solutions. Regulatory Compliance: Ensure all AI/ML applications meet healthcare regulations (e.g., HIPAA, GDPR) and maintain high standards for patient data privacy and security. Model Monitoring & Optimization: Monitor, fine-tune, and update models post-deployment to maintain optimal performance and adapt to evolving healthcare data. Requirements: Experience: 5+ years in AI/ML, deep learning, and machine learning applications, preferably in the healthcare industry. Technical Skills: Proficiency in Python and/or R, with experience in ML libraries like TensorFlow, PyTorch, Scikit-Learn, etc. Healthcare Data Expertise: Strong understanding of healthcare data types and sources (e.g., EHR/EMR data, claims data, imaging data, genomics). Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and deploying ML models in these environments. Healthcare ML Use Cases: Experience in healthcare-specific ML use cases such as patient outcome predictions, medical image classification, and NLP for clinical notes. Regulatory Knowledge: Strong understanding of healthcare privacy and regulatory standards (e.g., HIPAA, GDPR). Communication Skills: Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical ideas to non-technical stakeholders. Shift Flexibility: Ready to work in shifts to accommodate the global nature of healthcare projects. If you're passionate about developing impactful AI/ML solutions in the healthcare industry and have the required expertise, apply now for the AI/ML Developer position in Mumbai!

Job Title: Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 2 to 3 years Openings: 3 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to derive actionable insights. Implement and optimize deep learning models, including Natural Language Processing (NLP) and computer vision. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training and deployment. Optimize ML models for performance, scalability, and real-time inference. Collaborate with data engineers to build efficient data pipelines. Stay updated with the latest AI/ML advancements and integrate best practices into development. Work closely with cross-functional teams to understand business requirements and deliver AI solutions. Qualifications: Experience: 2-3 years in AI/ML development. Technical Skills: Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. Hands-on experience in deep learning, NLP, and computer vision. Expertise in handling large datasets and data pre-processing techniques. Experience in deploying ML models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for structured and unstructured data (text, audio, video). Knowledge of document processing, Vision AI, Audio AI, and building AI-driven systems using Langchain and Rasa. Experience building AI chatbots and voicebots. Familiarity with DevOps and CI/CD for cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative thinking, with a passion for problem-solving. Qualification : Any Graduate / Post Graduate

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

Senior Java Developer Location: Mumbai (On-site/Hybrid/Remote) Job Type: Full-time Experience: 4-8 Years About the Role We are seeking a highly skilled Senior Java Developer to join our dynamic team in Mumbai. The ideal candidate will have 4-8 years of experience in Java development and a strong background in building scalable, high-performance applications. You will be responsible for designing, developing, and maintaining enterprise-level applications while collaborating with cross-functional teams. Key Responsibilities Develop, test, and deploy high-quality Java applications. Design and implement scalable, efficient, and maintainable code. Work closely with architects, product managers, and other developers to define software requirements and solutions. Optimize application performance and troubleshoot issues. Ensure best practices in coding, security, and performance tuning. Participate in code reviews and mentor junior developers. Stay updated with the latest industry trends and technologies. Required Qualifications 4-8 years of experience in Java development. Strong knowledge of Core Java, Spring, Spring Boot, Hibernate, and RESTful APIs. Experience with Microservices architecture and Cloud platforms (AWS, Azure, or GCP). Proficiency in SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.). Hands-on experience with CI/CD pipelines and version control (Git, Jenkins, Docker, Kubernetes, etc.). Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Kafka, RabbitMQ, or other messaging systems. Knowledge of front-end technologies such as Angular or React (a plus). Exposure to DevOps practices and containerization. Competitive salary and benefits package. Opportunity to work on cutting-edge technologies. Career growth and learning opportunities. A collaborative and innovative work environment.

Java Project Lead Location: Mumbai Job Type: Full-time Experience: 8-10 Years About the Role We are looking for an experienced Java Project Lead to oversee software development projects and lead a team of developers. The ideal candidate will have 8-10 years of experience in Java development and a strong background in software architecture, team leadership, and project management. You will be responsible for designing, implementing, and delivering high-quality software solutions while ensuring best practices and technical excellence. Key Responsibilities Lead and manage Java development projects from inception to deployment. Collaborate with stakeholders to define project scope, technical requirements, and timelines. Architect, design, and implement scalable and high-performance Java applications. Guide and mentor a team of developers, ensuring adherence to best coding practices. Conduct code reviews and enforce quality standards. Optimize application performance and troubleshoot technical issues. Manage project risks, timelines, and deliverables. Stay updated with the latest Java technologies and industry trends. Required Qualifications 8-10 years of experience in Java development and software architecture. Strong proficiency in Core Java, Spring, Spring Boot, Hibernate, and RESTful APIs. Experience in Microservices architecture and Cloud platforms (AWS, Azure, GCP). Strong knowledge of SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.). Hands-on experience with CI/CD pipelines, version control (Git, Jenkins), and containerization (Docker, Kubernetes). Proven experience in leading development teams and managing software projects. Excellent problem-solving, decision-making, and communication skills. Preferred Qualifications Experience with Kafka, RabbitMQ, or other messaging systems. Familiarity with front-end technologies such as Angular or React. Exposure to DevOps practices and automation tools. Knowledge of Agile/Scrum methodologies and project management tools (JIRA, Trello, etc.). Competitive salary and benefits package. Leadership opportunities in a dynamic work environment. Exposure to cutting-edge technologies and challenging projects. Career growth and professional development programs.

DevOps Engineer Location: Mumbai (On-site/Hybrid/Remote) Job Type: Full-time Experience: 4+ Years About the Role We are seeking a talented and proactive DevOps Engineer with 4+ years of experience to join our team in Mumbai. The ideal candidate will be skilled in automating, monitoring, and maintaining infrastructure and deployments to ensure continuous integration, continuous delivery, and a smooth deployment pipeline. You will work closely with development and IT teams to streamline processes and improve system reliability and scalability. Key Responsibilities Implement and manage CI/CD pipelines for faster and more reliable software releases. Automate infrastructure provisioning and configuration management using tools such as Terraform, Ansible, or Puppet. Monitor system performance and ensure high availability, scalability, and security of applications. Collaborate with development teams to design, deploy, and scale applications and systems. Manage cloud-based infrastructure (AWS, Azure, GCP) and on-premise resources. Troubleshoot and resolve infrastructure-related issues, performance bottlenecks, and failures. Ensure efficient use of resources and implement cost-saving practices. Maintain and improve deployment workflows and release management. Required Qualifications 4+ years of experience in a DevOps or Systems Engineering role. Strong knowledge of Linux/Unix systems and scripting languages (Bash, Python, etc.). Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Hands-on experience with infrastructure-as-code tools (Terraform, CloudFormation, etc.). Familiarity with monitoring tools like Prometheus, Grafana, Nagios, or similar. Strong understanding of version control systems (Git, GitHub, GitLab). Knowledge of networking concepts, firewalls, and security best practices. Preferred Qualifications Experience with microservices architecture and serverless frameworks. Familiarity with configuration management tools (Ansible, Chef, SaltStack). Knowledge of Agile/Scrum methodologies. Experience with database management (SQL/NoSQL) and data pipeline automation. Competitive salary and benefits package. A dynamic and collaborative work environment. Exposure to cutting-edge technologies in a fast-paced industry. Opportunities for career growth and professional development.

about the role Cloud Engineers with experience in managing, planning, architecting, monitoring, and automating large scale deployments to Public Cloud.you will be part of a team of talented engineers to solve some of the most complex and exciting challenges faced in IT Automation and Hybrid Cloud Deployments. key responsibilities Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML technologies Design, deploy and maintain Cloud infrastructure for Clients Domestic & International Develop tools and automation to make platform operations more efficient, reliable and reproducible Create Container Orchestration (Kubernetes, Docker), strive for full automated solutions, ensure the up-time and security of all cloud platform systems and infrastructure Stay up to date on relevant technologies, plug into user groups, and ensure our client are using the best techniques and tools Providing business, application, and technology consulting in feasibility discussions with technology team members, customers and business partners Take initiatives to lead, drive and solve during challenging scenarios preferred qualifications 1-3 years experience in Cloud Infrastructure and Operations domains Experience with Linux systems and/OR Windows servers Specialize in one or two cloud deployment platforms: AWS, GCP, Azure Hands on experience with AWS services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine) Experience with one or more programming languages (Python, JavaScript, Ruby, Java, .Net) Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios Logging and Monitoring tools (ELK, Stackdriver, CloudWatch) DevOps Technologies Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos) Deep experience in customer facing roles with a proven track record of effective verbal and written communications Dependable and good team player Desire to learn and work with new technologies Automation in your blood

Company Overview Mondel z International is a leading global snacking company with iconic brands like Oreo, Cadbury, and Toblerone. The company s mission is to lead the future of snacking, creating delicious moments of joy for people around the world. As part of Mondel z's dynamic Digital Solutions team, this role will offer an exciting opportunity to drive innovation through AI, data, and analytics. Role Overview As a Data Scientist within the Mondelez Digital Solutions team, you will play a critical role in developing cutting-edge AI and GenAI solutions that will empower the US Sales & Planning teams. This role focuses on leveraging Analytical AI algorithms and Large Language Models (LLMs) to create actionable insights and transform commercial reporting processes. You'll work closely with multiple teams to implement these solutions and continuously improve the reporting and decision-making capabilities of the organization. How You Will Contribute 1. AI and GenAI Model Development Design, develop, and deploy Analytical AI models (e.g., linear regression, decision trees, boosted trees models) to gather insights related to customers, brands, categories, and products. Implement anomaly detection algorithms (e.g., isolation forest) to identify anomalies in commercial data and alert teams about significant changes. Utilize Large Language Models (LLMs) to summarize the current business state and explain trends in the data, supporting the commercial reporting team. 2. Data Preparation and Utilization Oversee the extraction, preparation, and utilization of large datasets for model training and validation, ensuring the data is clean, accurate, and relevant for AI model development. Continuously update and refine the AI/GenAI solution with new data sources and features to enhance business insights. 3. Collaboration and Implementation Work closely with cross-functional teams to ensure smooth deployment of AI and GenAI capabilities into the company s commercial reporting dashboards. Collaborate with stakeholders to ensure the tools meet business requirements and deliver high-quality insights. 4. Reporting and Documentation Regularly report on the achievements and challenges of the AI tools to senior management and relevant stakeholders. Maintain detailed documentation of AI models, GenAI solutions, logic, and performance metrics, ensuring the business can leverage insights effectively. 5. Continuous Improvement and Innovation Stay up to date with the latest trends in AI and GenAI and integrate new advancements into the reporting system to improve its efficiency and effectiveness. What You Will Bring 1. Required Skills & Experience Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or related fields. Strong analytical and critical thinking skills with the ability to translate complex data into actionable business strategies. Proficiency in handling large datasets using Python and SQL. Strong knowledge of data visualization tools such as Tableau and Power BI. Experience with cloud platforms (e.g., Google Cloud, Azure, Databricks) for deploying AI solutions. Experience with data preprocessing, cleaning, and ETL processes. Familiarity with Natural Language Processing (NLP) techniques. Knowledge of recent advancements and trends in GenAI and a passion for continuous learning in this field. 2. Additional Skills (Good to Have) Working knowledge of syndicated data (e.g., Nielsen/IRI or other retail sales data sources). Proficiency in using data containerization and orchestration tools for maintaining complex data workflows. Experience with programming languages like PySpark and R. Experience in leveraging Large Language Models (LLMs) to build GenAI solutions or proofs-of-concept. Experience with frameworks like Langchain for building language applications. Relocation and Support Within-country relocation support is available. For candidates voluntarily moving internationally, minimal support is offered through the Volunteer International Transfer Policy. Qualification : Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.

Solution Architect Location: Mumbai Experience: 5+ Years Type: Full-Time About Fynd Fynd is India s largest omnichannel platform and a leading multi-platform tech company at the intersection of retail, AI, ML, big data, and digital infrastructure. Powering over 2,300 brands, we enable seamless integration of online and offline retail, store operations, inventory, and customer engagement transforming business operations and customer experiences across the board. About the Role We are seeking a Solution Architect to lead the design and implementation of scalable, secure, and robust technology solutions that align with business goals. You ll collaborate across engineering, product, DevOps, and business teams translating complex requirements into strategic architectural blueprints and delivering high-impact, performant systems. This role is ideal for someone with strong full-stack expertise, a deep understanding of cloud-native architecture, and a passion for building systems that scale efficiently. Key Responsibilities Solution Design & Architecture Design end-to-end architecture for enterprise and cloud-based applications. Define scalable, secure, and cost-efficient solutions that align with business needs. Choose appropriate tech stacks, frameworks, and tools for performance and maintainability. Technical Leadership & Collaboration Partner with engineering, DevOps, and product teams to ensure successful solution implementation. Provide architectural guidance, code best practices, and mentorship to development teams. Conduct design reviews and ensure adherence to architectural standards and coding guidelines. Cloud & Infrastructure Architect cloud-native solutions on AWS, Azure, or GCP. Define and implement CI/CD pipelines and Infrastructure as Code (IaC). Design systems with high availability, fault tolerance, and disaster recovery in mind. Security & Compliance Implement security best practices across applications, APIs, and infrastructure. Collaborate with InfoSec to ensure compliance with standards like SOC 2, ISO 27001, and GDPR. Stakeholder Management Work closely with business, engineering, and product stakeholders to gather requirements and define technical roadmaps. Communicate complex technical concepts clearly to both technical and non-technical audiences. Present architectural solutions and trade-offs to executives and clients. Technical Skills & Experience Must-Have Skills 5+ years of experience in software architecture and solution design. Deep expertise in cloud platforms (AWS, Azure, or GCP) and microservices architecture. Hands-on experience with: Frontend: JavaScript, React.js, React Native Backend: Node.js, Python Experience with AI/ML frameworks and building data pipelines. Strong knowledge of RESTful APIs, GraphQL, and event-driven systems. Proficiency in databases: SQL, NoSQL, PostgreSQL, MongoDB. DevOps familiarity: Kubernetes, Docker, CI/CD pipelines. Understanding of security protocols and standards: OAuth, JWT, encryption best practices. Nice to Have Experience working in fast-paced product environments or startup ecosystems. Background in performance tuning and system observability. Growth Be part of a rapidly growing company breaking into new products and global markets. Leadership grooming and growth opportunities into senior strategic roles. Flex University: Upskill with internal learning programs. Learning Wallet: Reimbursement for external courses and certifications. Culture Collaborative, people-first culture. Weekly team activities, quarterly offsites, and annual celebrations. Wellness Comprehensive Mediclaim for you, your spouse, kids, and parents. Access to mental health professionals to support your productivity and work-life balance. Work Environment We work from our Mumbai office, 5 days a week, to build together, learn faster, and collaborate more effectively. If you re ready to make an impact and architect the future of retail tech we d love to meet you.

Data Integration Specialist Python Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance. Your Role at QRT As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated. Key Responsibilities Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets. API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems. Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability. Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research. User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs. Required Experience & Skills Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations. Programming: Advanced proficiency in Python is mandatory. Experience or familiarity with C#, Rust, or JavaScript is a plus. Data Handling: Proven experience working with large-scale structured and unstructured datasets. Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms. Finance Domain: Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a global, fast-paced environment. Excellent English communication skills, both written and verbal. Nice to Have Prior experience in a quantitative research or trading-focused organization. Familiarity with data modeling, ETL frameworks, or real-time data streaming. What QRT Offers Work in a cutting-edge technical environment at the forefront of quantitative finance. Exposure to a diverse range of global financial data and complex integration challenges. A collaborative, intellectually rigorous culture that values innovation and continuous learning. Competitive compensation and benefits. Support for professional development, work-life balance, and diversity and inclusion.