Apache Spark Jobs in Mumbai

Position: Lead Data Engineer Location: Mumbai, India (Hybrid 4 days onsite) Division: Engineering | Full-Time About Blenheim Chalcot Blenheim Chalcot is one of the world s leading digital venture builders. For over 20 years, we've been building disruptive, GenAI-enabled companies across industries such as FinTech, EdTech, GovTech, Media, and Sport. Headquartered in London, we operate globally, with a rapidly growing team in India that supports innovation, growth, and technical excellence across our portfolio. Blenheim Chalcot India, launched in 2009, is a central force behind our success. Our team delivers core services across technology, marketing, HR, finance, legal, and more serving as a powerful launchpad for ventures shaping global trends. About Fospha Fospha is a rapidly growing marketing measurement platform for eCommerce brands. We re certified partners of Meta, TikTok, and Snap, and have earned a reputation for helping some of the world s most well-known D2C brands unlock measurable growth. With product-market fit secured and award-winning success behind us, we re expanding globally and looking for top engineering talent to power our next phase of scale. The Role: Lead Data Engineer We re hiring a Lead Data Engineer to oversee the design, implementation, and performance of scalable ELT pipelines and data infrastructure. This is a hands-on leadership role, ideal for an experienced engineer who excels at building systems, mentoring teams, and driving business value through clean, reliable data. You will lead technical delivery in partnership with analysts, ML engineers, and stakeholders, ensuring data remains a strategic asset across Fospha s product suite. Key Responsibilities Lead and mentor a team of Data Engineers, cultivating a collaborative and high-performance environment. Own the end-to-end delivery of data engineering projects architecture, execution, quality, and scalability. Design and implement robust ELT pipelines using modern tooling and cloud infrastructure. Maintain and enhance data models used by analysts, ML engineers, and product teams. Collaborate across engineering, product, and analytics to define data requirements and delivery roadmaps. Ensure data integrity, reliability, and governance across multiple sources and systems. Contribute to exploratory data analysis, schema evolution, and pipeline optimizations. Identify and implement continuous improvements to processes, tools, and team workflows. Stay abreast of industry trends and emerging tools in data engineering and architecture. About You Required Experience & Skills Proven experience leading data engineering teams with end-to-end technical ownership. Expert-level knowledge of SQL (especially PostgreSQL) and relational databases. Proficiency in Python for data manipulation and scripting. Strong understanding of data pipelines, architecture, and ELT/ETL design. Familiarity with agile software development practices. Preferred Experience Experience using dbt (Data Build Tool) in production environments. Familiarity with AWS data services (e.g., Redshift, S3, Glue, Athena). Exposure to data modeling, statistics, or data science-friendly data design. Education Bachelor's or Master s degree in Computer Science, Engineering, or a related technical discipline. Join the world s leading venture builder, working on GenAI-enabled, high-growth startups. Hybrid work setup: 4 days onsite in our modern Mumbai office. Learn from diverse, top-tier global talent across engineering, data, and product. Culture of continuous learning, mentorship, and rapid innovation. 24 days of annual leave, 6 floater days, and 4 public holidays. Private medical insurance for you and your immediate family. Inclusive parental leave policies and a family-first work culture. A fun and collaborative environment we also own the Rajasthan Royals IPL team! Our Commitment to Diversity At Blenheim Chalcot, inclusion and meritocracy are at the core of our culture. We believe diversity drives better outcomes, and we are committed to fostering a workplace where everyone can thrive and make the most of their skills and potential. Application Process Our streamlined hiring process starts with a 15-minute introductory call, followed by interviews with our engineering leadership. We respect your time and aim to provide prompt, clear communication throughout. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related technical discipline.

about the role Data Engineer identifies the business problem and translates these to data services and engineering outcomes. You will deliver data solutions that empower better decision making and flexibility of your solution that scales to respond to broader business questions. key responsibilities As a Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision making. You are passionate about data quality of our business metrics and flexibility of your solution that scales to respond to broader business questions. If you love to solve problems using your skills, then come join the Team Searce. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself. Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML Understand the business problem and translate these to data services and engineering outcomes Explore new technologies and learn new techniques to solve business problems creatively Think big! and drive the strategy for better data quality for the customers Collaborate with many teams - engineering and business, to build better data products preferred qualifications Over 1-2 years of experience with Hands-on experience of any one programming language (Python, Java, Scala) Understanding of SQL is must Big data (Hadoop, Hive, Yarn, Sqoop) MPP platforms (Spark, Pig, Presto) Data-pipeline & schedular tool (Ozzie, Airflow, Nifi) Streaming engines (Kafka, Storm, Spark Streaming) Any Relational database or DW experience Any ETL tool experience Hands-on experience in pipeline design, ETL and application development Good communication skills Experience in working independently and strong analytical skills Dependable and good team player Desire to learn and work with new technologies Automation in your blood

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: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

Account Executive - West Location: Mumbai, India Job Overview As an Account Executive at Databricks, your mission will be to help build our India business, one of our fastest-growing markets in APJ. You will drive growth through strategic partnerships, helping businesses solve tough problems with Databricks' solutions. Your role will be pivotal in guiding customers on their data journey, making organizations more collaborative and productive than ever before. Responsibilities Prospect for new customers and assess existing accounts to develop strategies for engagement. Use a solution-based selling approach to create value for customers. Identify viable use cases in each account to maximize Databricks' impact. Collaborate with teams to maximize the impact of the Databricks ecosystem in your territory. Work on successful negotiations and close deals. Promote the Databricks enterprise cloud data platform. Deliver technical and business results using the Databricks Data Intelligence Platform. Promote teamwork within the sales organization. What We Look For 5+ years of sales experience in SaaS/PaaS or Big Data companies. Prior customer relationships with CIOs and key decision-makers. Ability to articulate complex cloud technologies and big data solutions. 3+ years of experience exceeding sales quotas. Proven success in closing new accounts and upselling existing accounts. Bachelor s degree in a relevant field. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500, rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks to meet the needs of all our employees.

BFSI Enterprise Director Location: Mumbai, India As part of our rapidly expanding Enterprise business, we are looking for a BFSI Leader to scale the business in the India region. You will lead a team of professionals and be responsible for multiplying consumption, new customer acquisition, and developing the ecosystem. You will inherit a team of seasoned campaigners, passionate about building a data ecosystem in the India region, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Head of Enterprise business, India Region. The Impact You Will Have: Scale a team of motivated Enterprise Account Executives to increase growth in the BFSI domain. Inspire a culture of teamwork, leading with value, and achieving desired customer outcomes. Develop trust-based relationships with customers and partners to ensure long-term success. Encourage learning and ongoing understanding of technical product details and our future product roadmap. Lead our BFSI Enterprise growth plans, ensure forecast accuracy, and drive a predictable, high-growth business. What We Look For: Desire to build a collaborative, inspired team culture. Alignment with our core values: customer obsession, teamwork, ownership, and data-driven decision making. 15+ years of experience building a high-growth sales team serving BFSI customers. Experience in the Big Data, Cloud, or SaaS Sales industry. A history of exceeding sales quotas in similar high-growth Enterprise software companies. Understanding of value selling and structured methodologies (e.g., MEDDPICC, Challenger, Command of Message). Knowledge of developing the partner ecosystem to help grow strategic enterprise territories. Success in implementing strategies for usage and booking-based sales revenue models. Enterprise BFSI experience coupled with Cloud Data & AI experience is highly desirable. About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Emerging Enterprise Hunter Account Executive Location: Mumbai, India The Impact You Will Have: Prospect for new customers. Assess your existing customers and develop a strategy to identify and engage all buying centers. Use a solution approach to selling and creating value for customers. Identify the most viable use cases in each account to maximize Databricks' impact. Orchestrate and work with teams to maximize the impact of the Databricks ecosystem on your territory. Build value with all engagements to promote successful negotiations and close. Promote the Databricks enterprise cloud data platform. Be customer-focused by delivering technical and business results using the Databricks Platform. Promote teamwork. What We Look For: You have previously worked in an early-stage company, and you know how to navigate and be successful in a fast-growing organization. 5+ years of sales experience in SaaS/PaaS or big data companies. Prior customer relationships with CIOs and important decision-makers. Ability to simply articulate intricate cloud technologies and big data. 3+ years of experience exceeding sales quotas. Success in closing new accounts while upselling existing accounts. Bachelor's Degree. Job Location: Mumbai About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Qualification : Bachelor's Degree.

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!

Job Title: Linux System Administrator Location: Mumbai Employment Type: Full-Time Experience Required: Minimum 2 Years Salary: 7.5 LPA Position Overview: We are looking for a dedicated and knowledgeable Linux System Administrator to join our IT team in Mumbai. The ideal candidate will have at least 2 years of experience managing Linux-based systems, servers, and infrastructure in a production environment. Key Responsibilities: Install, configure, and maintain Linux servers and systems Monitor system performance, availability, and security Manage server updates, patching, and backups Troubleshoot and resolve system, network, and application issues Configure and manage services like Apache, Nginx, MySQL, FTP, SSH, etc. Implement system hardening, firewalls, and access control policies Automate routine tasks using shell scripting or other tools Required Skills & Qualifications: Strong experience with Linux distributions (Red Hat, CentOS, Ubuntu, etc.) Familiarity with system monitoring tools (Nagios, Zabbix, etc.) Proficiency in shell scripting (Bash, Python is a plus) Knowledge of networking protocols and security best practices Experience with virtualization and cloud environments is an advantage Ability to work independently and solve problems effectively Preferred: Linux certification (RHCSA/RHCE or equivalent) is a plus Experience with Ansible, Docker, or Kubernetes

Software Engineer Data Platform Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. Our technology-driven and research-focused culture enables us to solve complex challenges and deliver high-quality returns for our investors. Innovation and collaboration are at the heart of everything we do. Your Future Role at QRT We are seeking a highly skilled Software Engineer to join our Data Engineering team. You will contribute to designing, building, and scaling our data platform with a focus on developing a new data pipeline framework. Your work will directly impact our trading and research capabilities, collaborating with engineers and researchers to create robust, scalable solutions. While prior experience with financial data is a plus, it is not mandatory. We welcome talented developers from diverse backgrounds and provide comprehensive training. Key Responsibilities Design, develop, and maintain scalable and robust data services following best software engineering practices. Write automated tests to ensure reliability and support continuous delivery and integration. Maintain and scale delivery and integration pipelines. Develop reusable libraries and tools to enhance the Data Engineering team s productivity. Collaborate effectively with cross-functional teams, including researchers and engineers, to propose and implement new features in the data platform framework. Your Present Skillset Strong programming skills with a passion for software design and architecture, preferably in Python. Experience with testing frameworks and continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with SQL and relational database concepts. Knowledge of modern data lake and lakehouse technologies such as Apache Iceberg, Delta Lake, or Snowflake. Excellent communication skills and ability to work collaboratively in a small, close-knit team environment. Experience with cloud platforms, preferably AWS. Fluency in English (written and spoken). Work in a technology-driven environment focused on innovation and impact. Equal opportunity employer embracing diversity and inclusion. Supportive culture encouraging professional development and work-life balance.

Job Title: Linux Administrator Location: Mumbai Experience: 2 5 Years Remuneration: Best in Industry Job Summary: We are seeking a skilled Linux Administrator with 2 5 years of hands-on experience in managing Red Hat Enterprise Linux and CentOS environments. The ideal candidate will be responsible for installation, configuration, system hardening, and integration tasks, along with troubleshooting and performance optimization. Key Responsibilities: Install and configure Red Hat Enterprise Linux and CentOS 7 Configure and manage YUM repository servers and clients Set up and maintain sFTP servers Perform operating system hardening and implement security best practices Restrict direct root access and configure privileged access control (su/sudo) Apply OS updates and security patches Integrate Linux servers with Windows Active Directory Set and manage user umask policies Create, manage, and delete user accounts Assign administrative privileges as required Create, extend, and reduce LVM volumes Configure and manage NTP servers and clients Increase and manage swap partitions Troubleshoot system and network-related issues Configure services such as vsftpd, Samba, and NFS Install and configure rsyslog server for centralized logging Set GRUB passwords and modify kernel parameters Configure firewall rules to allow required ports Set limits on file and process counts per user Disable and blacklist USB drivers for security Basic Competencies: Basic knowledge of VMware virtualization Familiarity with storage concepts Exposure to monitoring tools (any standard solution) Basic understanding of AWS Cloud If you are passionate about Linux systems and enjoy solving complex technical problems, we d love to hear from you.

Data Scientist Location: Mumbai Experience: 2 7 years Employment Type: Full-Time About the Role We are looking for a highly skilled and motivated Data Scientist to join our team in Mumbai. The ideal candidate will have a strong background in data science, machine learning, and big data technologies, with the ability to draw actionable insights from complex data sets. If you're passionate about solving real-world problems using data and AI, and thrive in a fast-paced, collaborative environment we want to hear from you. Key Responsibilities Design and implement processes to collect and aggregate data from multiple sources. Clean, normalize, and prepare large datasets for analysis. Apply statistical methods and machine learning techniques to uncover insights and drive business decisions. Build scalable data pipelines and frameworks to manage large volumes of data. Work cross-functionally to develop innovative products, reports, and features aligned with business needs. Translate analytical findings into clear, actionable recommendations. Desired Candidate Profile 2 7 years of relevant experience in data science or related fields. Proficiency in Python, R, and SQL. Strong grasp of machine learning, AI, and natural language processing (NLP). Experience with big data technologies and handling large datasets. Excellent knowledge of algorithms, mathematics, and statistics. Ability to thrive in a dynamic, challenging environment. Strong problem-solving and communication skills. High attention to detail and analytical rigor. Opportunity to work on cutting-edge data-driven solutions. Collaborative and innovative work culture. Chance to shape impactful products and features in real-world applications. Career growth and learning in advanced data technologies and AI.

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.

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.

Job Title: DevSecOps Engineer Location: Mumbai Education: Graduate / Post-Graduate in Computer Science, Engineering, or a related field Experience: 2 8 years in IT / IT Security (Minimum 2 years in a relevant DevSecOps role) Role Overview We are looking for a DevSecOps Engineer with a strong security-first mindset and deep experience in automating and securing CI/CD pipelines. This role will focus on integrating security into the software development lifecycle, ensuring reliable and secure deployment of cloud-native applications, and maintaining robust infrastructure-as-code practices. The ideal candidate will have hands-on experience in cloud deployments, scripting, infrastructure automation, and a solid understanding of secure coding and development practices. Note: Candidates must be eligible for and able to pass DHS Suitability Clearance. Key Responsibilities Integrate SAST, DAST, and SCA tools into the CI/CD pipeline for automated application security scanning. Define, develop, and maintain CI/CD strategies and pipelines, especially for managing Infrastructure as Code (IaC). Lead build, deployment, and monitoring standards for secure and scalable application delivery. Collaborate with Agile development teams to implement end-to-end automation of application and infrastructure deployments in cloud environments. Automate provisioning and configuration of infrastructure using scripting and templating tools. Maintain and optimize CI/CD tools such as Jenkins, Travis, Ansible, and Kubernetes. Work closely with development, operations, and vendor teams to resolve technical issues and improve system reliability. Monitor, support, and maintain installed systems and infrastructure, ensuring maximum availability and performance. Create and maintain scripts for system efficiency, automation, and operational improvements. Contribute to the design and implementation of secure, scalable, and highly available systems. Ensure strong backup, redundancy, and security strategies are in place and actively maintained. Identify performance bottlenecks and work with development teams to implement solutions. Required Skills & Experience Technical Skills: Strong scripting skills in one or more languages: Shell, Python, Ruby, Perl, Go, Groovy, Helm, PowerShell, etc. Experience with: Infrastructure as Code (IaC) tools and practices Cloud deployments and monitoring of web applications Operating systems: Strong in UNIX/Linux Networking concepts, particularly OSI layers and TCP/IP Experience with the administration and tuning of application stacks such as: Tomcat, JBoss, Apache, NGINX, Ruby, etc. Hands-on experience with: CI/CD tools: Jenkins, Travis, etc. Configuration management: Ansible Container orchestration: Kubernetes Mindset & Soft Skills: Security-first mindset with understanding of secure coding and DevSecOps principles Demonstrated ability to build secure and reliable infrastructure and pipelines Strong analytical and problem-solving skills Effective verbal and non-verbal communication and collaboration skills Proactive, self-driven, and able to work in fast-paced environments Preferred Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field Experience with DevSecOps in regulated or security-sensitive environments Familiarity with compliance requirements and security standards Be at the forefront of secure DevOps practices in a growing and tech-forward organization Work with cutting-edge technologies and tools in cloud-native environments Collaborate with a high-performing, cross-functional team Contribute to meaningful, security-focused development initiatives Competitive compensation and professional growth opportunities Qualification : Graduate / Post-Graduate in Computer Science, Engineering, or a related field

Job Title: Security Automation Engineer Location: Mumbai Education: Graduate / Post-Graduate in Computer Science, Engineering, or a related field Experience: 2 8 years in IT / IT Security (Minimum 2 years in security automation or relevant role) Role Overview We are looking for a Security Automation Engineer with a strong foundation in scripting, system administration, and security tooling. In this role, you'll be responsible for automating key security functions, integrating security tools with enterprise systems, and enabling security visibility across infrastructure through dashboards and reporting. If you re passionate about automating security operations and building scalable security workflows, we want to hear from you. Key Responsibilities Security Tooling Implementation: Evaluate and implement new security tools and technologies aligned with organizational needs. Tool Integration & Automation: Automate security operations by integrating various tools and platforms using APIs, custom scripts, and automation frameworks. Ticketing System Integration: Link security tools with ITSM/ticketing platforms to streamline incident and alert workflows. Dashboard & KPI Automation: Develop scripts/tools for automated generation of security dashboards and KPI reports. CI/CD Security Integration: Collaborate with DevSecOps teams to build and enhance secure CI/CD pipelines, embedding security controls into the SDLC. Internal Enablement & Training: Provide internal training and documentation to help teams safely adopt and manage automation scripts. Cross-Functional Collaboration: Work closely with IT, DevOps, and security teams to ensure effective and secure automation implementations. Required Skills & Experience Technical Skills: Scripting & Automation: Hands-on experience with scripting languages such as PowerShell, Shell, Python, Perl, Ruby, Go, Groovy, and Helm. Tooling & Integration: Experience in automating and integrating tools through REST APIs, CLI, or other interfaces. System Administration: Proficiency in UNIX/Linux environments installation, configuration, and troubleshooting. Networking Fundamentals: Strong understanding of OSI layers, TCP/IP, and general networking concepts. Application Stack Management: Exposure to application servers like Tomcat, JBoss, Apache, NGINX, and Ruby, etc. Programming Background (Basic): Ability to write and understand code for automation and tool integration. Preferred Qualifications Bachelor s or Master s in Computer Science, Information Security, or a related technical field. Prior experience in security automation, DevSecOps, or security operations. Exposure to CI/CD environments and security tooling within development pipelines. Core Competencies Problem-Solving: Ability to break down complex security tasks and automate them efficiently. Collaboration: Strong team player with experience working across departments. Communication: Effective verbal and written skills, especially for internal knowledge sharing. Security Mindset: Proactive approach to improving security posture through automation. Be part of a modern security team driving automation-first security operations. Work with cutting-edge tools and cloud environments. Collaborate with skilled professionals in a cross-functional setup. Opportunity to create impact by improving security visibility and efficiency. Competitive compensation and growth opportunities. Qualification : Graduate / Post-Graduate in Computer Science, Engineering, or a related field

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

Job Title: Tech Lead (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 7 to 10 years Openings: 2 What You Will Do: Lead the design and development of scalable, high-performance AI/ML solutions. Define and implement AI/ML architecture and best practices across the team. Guide and mentor the AI/ML team in model development, optimization, and deployment. Work with large datasets to preprocess, analyze, and extract meaningful insights. Develop and optimize deep learning, NLP, and computer vision models. Architect end-to-end AI/ML pipelines, including data collection, model training, and deployment. Implement MLOps practices for continuous integration, deployment, and monitoring of ML models. Leverage cloud platforms (AWS, Azure, GCP) to deliver scalable AI/ML solutions. Collaborate with cross-functional teams to understand business challenges and deliver impactful AI-driven solutions. Stay abreast of the latest advancements in AI/ML and drive innovation within the team. What Qualifications You Will Need: Experience: 7-10 years in AI/ML development, with hands-on experience in designing and architecting AI/ML solutions. Technical Skills: Strong programming skills in Python. Expertise in deep learning, NLP, computer vision, and recommendation systems. Strong knowledge of data engineering, feature engineering, and automation of data pipelines. Experience in deploying AI/ML models on cloud platforms (AWS, Azure, GCP). Familiarity with big data technologies (Spark, Hadoop) and database management (SQL, NoSQL). Proven ability to build and manage end-to-end production-grade AI services. Strong understanding of AI systems architecture. Ownership of solution quality, including functional, technical, performance, and compliance aspects. Hands-on experience with MLOps practices for continuous integration and deployment of ML models. Focus on leveraging AI to improve business outcomes. Deep interest in staying updated with the latest trends in the AI/ML field. Leadership mindset with the ability to guide and mentor developers. Experience with data pre-processing for structured and unstructured data (text, audio, video). Familiarity with document processing, Vision AI, and Audio AI. Expertise in building AI agentic systems using Langchain and Rasa. Experience with AI chatbots and voicebots. Familiarity with DevOps and CI/CD pipelines on cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving skills. Qualification : Any Graduate / Post Graduate

Imagine yourself... Doing meaningful work that impacts the world around you every day. Thriving in a supportive team environment that encourages excellence and innovation. Joining a company with a proven track record of success and a future full of opportunities. Contributing to a brighter, safer, and more sustainable future. About Videojet Technologies As a global leader in the product identification market, Videojet Technologies plays a critical role in ensuring the safety, authenticity, and traceability of products in industries like food, beverage, pharmaceuticals, and industrial manufacturing. Our solutions including in-line printing, coding, marking products, consumables, and software touch millions of products every day. As part of Veralto s Product Quality & Innovation segment, Videojet offers an environment where your work truly matters, and where you ll have ample opportunities to develop your skills and advance your career. We are hiring: Service Engineer Location: Kashipur This is an exciting role for someone who enjoys working on the road, solving customer challenges, and making a tangible impact every day. As a Field Service Engineer (FSE), you will be the technical face of Videojet, delivering outstanding service and support to our existing customers. This role offers variety every day brings new customer interactions, problem-solving opportunities, and the chance to directly support business and service growth. Key Responsibilities: Attend breakdown calls and resolve technical issues at customer sites. Request and manage parts, ensuring seamless resolution under warranty, CAMP, or chargeable service. Perform equipment installations and preventive maintenance as per schedule. Promote service contracts and consumables to customers. Conduct product demonstrations and on-site training for customers. Document and update service reports in Oracle. Identify potential spare parts or equipment needs and share leads with the sales team. Ensure high levels of customer satisfaction by providing timely and professional service. Key Competencies: Ability to work independently while effectively managing priorities. Strong time management and multi-tasking capabilities. Effective coordination and collaboration with internal teams to solve technical challenges. Analytical mindset to diagnose technical problems and deliver timely solutions. Excellent communication skills, especially with customers and internal stakeholders. Flexibility and adaptability to manage dynamic work schedules. Qualifications & Requirements: Diploma / Engineering Degree in any technical stream. Minimum of 2 years of field service experience preferably with technical products in an Indian or multinational company. Proficiency in local language is essential for effective customer interaction. Work for a company with a global footprint and industry-leading technologies. Contribute to solutions that ensure product safety and quality around the world. Access to continuous learning, global career paths, and professional growth. Be part of Veralto, a $5 billion global leader dedicated to safeguarding the world s most vital resources. Diversity & Inclusion at Veralto At Veralto, we celebrate diversity and embrace the value that different perspectives bring to our workforce, workplace, and markets. We are committed to creating a culture where everyone belongs and can thrive. Discover what s within you. Apply now and shape your future with Videojet! Qualification : Diploma / Engineering Degree in any technical stream.