Natural Language Processing Jobs in Mumbai

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

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

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

Position: Natural Language Processing (NLP) Engineer - Fundamental Fixed Income Team About the Role: BlackRock's active fixed income portfolio strategies span across a wide range of investment styles and segments, with a focus on alpha generation and risk management. The team uses a combination of top-down insights from lead portfolio managers and bottom-up expertise from sector specialists to deliver attractive returns in various market conditions. Join the Fundamental Fixed Income team and make a significant impact by using advanced data science techniques to solve complex problems in finance. Your Responsibilities: Work with advanced natural language processing (NLP) tools like SpaCy, NLTK, or Hugging Face, with an understanding of implementing Vector Databases. Follow best programming practices such as unit tests, code organization, and basics of CI/CD to create well-maintainable and tested codebases. Develop prototypes for individual components of software or data science solutions, leveraging basic data structures and algorithms. Collaborate with peers within PMG and iHub India (MASS Labs, RQA Labs, AI Labs) to continue research on use cases developed within firm-wide initiatives. Education and Qualifications/Skills: 7-12 years of experience in a relevant field. Motivated team player with the ability to work independently and flexibly. Proficiency in Python, including experience with machine learning libraries such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory. Knowledge of at least one domain such as generative AI, statistical learning, optimization, NLP, deep learning, or time series analysis. A passion for solving real-world finance problems using data science and machine learning approaches. Strong analytical thinking skills and ability to creatively solve business problems. Experience with data exploration, analysis, and creating visualizations, and implementing algorithmic solutions in ML. Self-driven, results-oriented, and able to collaborate effectively across time zones and geographies. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. About BlackRock: At BlackRock, we are united by one mission: helping more people experience financial well-being. Our clients use their investments to save for retirement, pay for education, buy homes, and start businesses. These investments strengthen the global economy, supporting businesses large and small, financing infrastructure projects, and fueling innovations. Our mission would not be possible without our greatest investment our people. We re committed to fostering an environment where employees feel welcomed, valued, and supported with benefits, networks, and opportunities for growth.

Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) play a pivotal role in developing and promoting the AWS Partner Network (APN) across specific technology areas and industries. This position is focused on accelerating the growth of AWS's partner ecosystem, working closely with AWS partners who provide cloud-based solutions and consulting services to clients. These partners assist customers in migrating to the cloud, modernizing applications, leveraging data and analytics, and adopting AI/ML technologies to enhance their digital transformation. As an AWS Partner Development Manager, you will collaborate across AWS teams to build strong partnerships and guide AWS partners in delivering solutions to customers. Your role will involve direct interaction with partners and customers, helping them to navigate AWS's AI services, platforms, and frameworks to achieve business objectives. Key Responsibilities: AI Solution Implementation: Work directly with partners to understand their business needs and assist in implementing AI solutions using AWS AI services, platforms, and frameworks. Guide customers through the adoption process and help bring AI projects from inception to production. Full-Stack ML/AI Projects: Support customers in delivering end-to-end machine learning (ML) and deep learning (DL) projects, including data aggregation, model building, validation, and deployment, ensuring business impact. AWS Tools and Services: Utilize Amazon SageMaker and Amazon Bedrock to assist customers in building and deploying AI and ML models. Help customers identify and address model drift and retrain models when necessary. Research & Innovation: Conduct research and implement novel ML and DL approaches to drive innovation for AWS customers. Knowledge Sharing: Deliver best practices, tutorials, blog posts, sample code, and presentations tailored for technical, business, and executive stakeholders to share knowledge and promote AWS capabilities. Desired Experience and Expertise: We are looking for experienced consultants and builders who are passionate about: Industry & Architecture: Analyzing industry trends and developing enterprise-level architecture designs to align with customer business goals and vision. Business & Technical Strategy: Understanding and abstracting business processes and designing corresponding technical architectures. Advising customers on long-term IT strategies to facilitate their digital transformation journey. Solution Design & Best Practices: Designing comprehensive solutions based on customer requirements and promoting AWS best practices. Proficiently writing technical documentation to support solution implementation. About the Team: AWS values diverse experiences and encourages candidates from varied backgrounds to apply, even if all qualifications are not met. We believe that unique career paths and perspectives enhance the success of our teams and contribute to innovation. Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, offering a robust suite of products and services that empower customers, from startups to global enterprises. Inclusive Team Culture: AWS fosters curiosity and connection, with employee-led affinity groups that promote inclusion and encourage individuals to take pride in their uniqueness. Our inclusion events strengthen collaboration and inspire innovation. Mentorship & Career Growth: We are committed to raising the performance bar and supporting career advancement through continuous mentorship and knowledge-sharing. Work/Life Balance: We prioritize work-life harmony and flexibility, believing that success at work should never come at the expense of personal well-being. Basic Qualifications: 5+ years of experience in developing, negotiating, and executing business agreements. 5+ years of professional or military experience. A Bachelor s degree or equivalent. Proven experience in developing strategies that influence leadership decisions at an organizational level. Experience managing programs across cross-functional teams, building processes, and coordinating release schedules. Preferred Qualifications: Experience in interpreting data to drive business recommendations. Expertise in identifying, negotiating, and executing complex legal agreements. Qualification : Bachelor's degree

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.

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.

Job Description As a Knowledge Content Manager Associate in our team, you will be at the forefront of managing and enhancing our content database, ensuring that our sales materials (including RFPs, pitch books, and brochures) are compelling, accurate, and globally-consistent. You will collaborate with sales, product, client service, and other subject matter experts to ensure content and stats are accurate, consistent, and approved. You will also create materials for sales training, such as case studies, information on product overviews and strategy, and prepare competitor analysis. Job Responsibilities: Maintain, update, and enhance content used for client-facing documentation (proposals, pitchbooks, and other similar documents) provided to prospective and existing clients in pursuit of winning or retaining business. Develop external and internal content in partnership with sales and product, including case studies, and product overviews & strategy documents. Coordinate with subject matter experts to update the database with new responses as products are enhanced. Partner with subject matter experts to conduct periodic end-to-end reviews of responses in the database to ensure changes in business, value proposition, regulatory environment, staff, locations, etc., are correctly captured. Utilize Tableau to build dynamic data visualization dashboards, transforming complex data into actionable insights that support strategic sales initiatives. Source and manage J.P. Morgan statistics in the creation of sales documents or in answering questions from clients or prospects globally. Manage the sales experience survey process as the conduit between sales and the third-party consultant. Perform vendor administration activities such as user access management and training, and act as a point of contact, liaising with vendor support to quickly resolve issues. Required Qualifications, Capabilities, and Skills: Minimum 4 years of work experience in the financial services industry, within content/database management, pre-sales, business development, or marketing. Excellent verbal and written communication skills, with a thorough knowledge of American and British English language, grammar, spelling, punctuation, and usage, as well as the Associated Press (AP) style guide. Confidence, assertiveness, and professionalism to partner closely with all levels of management. Proficiency with MS Word, Excel, and PowerPoint required. Strong project management skills with the ability to manage tight schedules. Preferred Qualifications, Capabilities, and Skills: Bachelor's degree (BA or BS) in finance, business preferred, but not required. An understanding of the securities services industry and products is a plus. Self-starter with sound judgment and ability to operate independently and apply initiative. Experience with building data visualization dashboards via Tableau. Familiarity with emerging technologies, such as LLMs to bring in efficiencies in content and stats management. About Us JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses, and many of the world s most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years, and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. Qualification : Bachelor's degree (BA or BS) in finance, business preferred, but not required.

International Trade Operations Senior Logistics Specialist Location: Mumbai, India About Dow At Dow, we put people first and are passionate about delivering integrity, respect, and safety for our employees, customers, and the planet. We are a diverse and innovative community of problem solvers who work together to transform industries and shape a sustainable future through science and collaboration. If you're looking for a challenging and meaningful role, you re in the right place. About the Role The International Trade Operations Senior Logistics Specialist plays a key role in managing containerized transport logistics for exports and imports to and from North America across all transport modes. This position works closely with Customer Service, Business Supply Chain, and Site Logistics teams to ensure seamless international trade operations. You will analyze and resolve logistics challenges using technical expertise, prescribed policies, and past experience while receiving moderate guidance and direction. Key Responsibilities Logistics & Shipment Management Manage the Leverage Team functional mailbox, monitoring delivery notes and shipment processes. Run daily Z2 Block Reports, addressing errors and coordinating with order owners. Resolve system errors related to shipment creation and auto-new offer by opening tickets with DSS. Update equipment types, ECC Equipment Table, and ECC Loadability Matrix as required. Communicate with Export Logistics Manager and Business Loadability Contact regarding loadability queries. Route & Data Management Handle the FNAROUT functional mailbox and manage route creation via OTM and ECC transportation connection points. Maintain Business Structure reports within ECC. Execute the Logistics Processing Tool process daily, ensuring accurate updates to Freight Forwarders. Qualifications & Experience Education Bachelor s Degree (Required) Preferred in Supply Chain Management, Business, Engineering, or other Sciences. Experience 3-6 years of experience in International Trade Logistics, Supply Chain, or a Manufacturing environment. Technical Skills Proficiency in SAP/ECC (Enterprise Core Component). Strong analytical and problem-solving skills. Advanced computer proficiency, including data analysis tools. Experience in project management and process improvement. Preferred Skills Strong interpersonal and communication skills. Ability to work independently and in a team-oriented environment. Fluency in English (written & verbal); proficiency in additional languages is a plus. Ability to work in U.S. Eastern Standard Time (Midland, MI hours). Additional Notes This role requires an understanding of key business drivers and best practices within the logistics function. You will analyze and resolve problems using technical knowledge, established processes, and sound judgment. Your performance will impact both individual and team success, making it essential to follow guidelines and policies while driving efficiency and innovation. Competitive Salary & Bonus Market-aligned compensation with performance-based incentives. Career Growth Opportunities for training, mentoring, and professional development. Comprehensive Benefits Medical, life insurance, and mental health support. Work-Life Balance Flexible workplace culture for personal and professional productivity. Parental & Family Support Paid leave for new parents and caregivers. Paid Time Off & Volunteering Vacation allowance, community engagement, and Employee Resource Groups (ERGs). Wellbeing & Perks Gym memberships, discounts, and transportation benefits (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science, providing innovative solutions across packaging, infrastructure, automotive, and consumer care. With 1,000+ employees, we are a Great Place to Work Certified company, committed to corporate social responsibility (CSR). We actively support women, children, and differently-abled individuals through technology and volunteerism. Join Our Team & Make an Impact! At Dow, we celebrate diversity, collaboration, and innovation. If you are passionate about international trade logistics and supply chain operations, we encourage you to apply! Apply now and be part of a global team transforming industries through science! Qualification : Bachelors Degree (Required) Preferred in Supply Chain Management, Business, Engineering, or other Sciences.

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.

Role Summary We are currently seeking a talented Data Scientist specializing in Campaign Effectiveness Analysis to join our dynamic team. The ideal candidate will be instrumental in advanced modeling, twinning, imputation, and analytics, focusing on supporting Campaign Effectiveness accounts and projects. Key Responsibilities Conduct causal inference, including hierarchical modeling, difference-in-differences, and using controls, with expertise in longitudinal design. Apply Machine Learning skills for imputation and quick drivers analyses. Familiarity with Campaign Effectiveness data and database, including an understanding of the unique methodologies required for this design. Execute modeling tasks in R for complex analyses. Utilize SPSS for ad hoc exploratory data analysis. Proficient in SQL for data retrieval, manipulation, and database creation across multiple studies. Perform static annual norms calculations efficiently, with knowledge of post-curve completion code. Contribute to institutional knowledge regarding normative standards, cleanup processes, and consequences. Execute data pulls for curves using SQL, ensuring alignment with normative standards. Manage years of curves in an R-based application involving thousands of curves. Join curves to an adjustment file through modeling. Conduct all procedures and cleaning in R, recognizing the time-intensive nature of replicating processes. Qualifications Education: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, or related field. Competencies Desired Proven experience as a Data Scientist, preferably in Campaign Effectiveness or Market Research domain. Expertise in causal inference, machine learning, and SQL. Proficiency in advanced R program for modeling and analytics. Experience with SPSS for data exploration. Strong understanding of data governance and database management. Qualification : Bachelors or advanced degree in Data Science, Statistics, Computer Science, or related field.

You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Consumer and Community Banking, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Hands-on software development experience in an Object-Oriented programming language (such as Python, Java, C++). Hands-on practical experience in system design, application development, testing, and operational stability. Experience in developing highly scalable micro-services based applications. In-depth knowledge of software applications and technical processes with practical knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Experience with Source Code Control Systems such as Git, bitbucket, svn, etc. Experienced inagile methodologies Preferred qualifications, capabilities, and skills Familiar in highthroughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB etc. andinnear real time stream processing with services such Kafka, Kinesis, Flink, ECS, EKS etc. Familiar in high volume feature engineering with services such as EMR.Experience leveraging trained model artifacts in newer model architectures and approaches such as neural networks, embeddings, multi arm bandits, etc. Familiar with relational DBs, SQL, RDS. Experience with development and build tools (or similar): IntelliJ /Eclipse, Maven, Gradle, Sprint Boot, MVC, Spring, Cloud. Experience with recommendation and personalization systems.Interest in problems related to the financial services domain. Qualification : Formal training or certification on software engineering concepts and 2+ years applied experience

Job Title: Accounts Payable Senior Executive Location: Mumbai Experience: 2 5 Years Education: B.Com / M.Com / Semi-qualified CA / CA IPCC Cleared Position Overview: We are looking for a detail-oriented and proactive Accounts Payable Senior Executive to join our Finance team in Mumbai. This role involves the end-to-end management of vendor payments, invoice processing, TDS/GST compliance, and period-end financial activities. The ideal candidate will have strong accounting knowledge, hands-on experience with ERP systems, and the ability to maintain efficient vendor relationships while supporting audits and financial reporting. Key Responsibilities: Invoice Processing & Booking Review vendor invoices against contracts/agreements and ensure proper approvals Accurately book invoices with correct GL codes and cost center tagging Deduct TDS as per applicable tax provisions and ensure proper documentation Vendor Payments Schedule and process vendor payments in a timely and accurate manner Conduct due diligence before processing payments (agreements, tax, compliance checks) Maintain payment records and coordinate for necessary internal approvals Vendor Reconciliation & Management Perform regular vendor reconciliations and resolve any mismatches or discrepancies Manage vendor master data, including validation of KYC documents and bank details Liaise with vendors to ensure timely submission of invoices and balance confirmations Expense Monitoring & Analysis Monitor and analyze expenses on a monthly/quarterly basis Identify trends, variances, or unusual cost spikes and flag for further investigation Track outstanding payables to ensure timely closures Month-End & Year-End Activities Book expense provisions and accruals during closing periods Handle amortization of prepaid expenses and related accounting entries Assist in preparing audit-ready reports and reconciliations Reporting & MIS Generate and circulate expense MIS, vendor ageing, and payables reports Coordinate with internal teams for budgeting and clarification on expense entries Compliance & Audit Support Ensure strict compliance with TDS and GST regulations Assist in TDS return filing and timely issuance of Form 16A to vendors Support internal and statutory audits with required documentation and schedules Qualifications & Skills: CA IPCC (one or both groups) cleared preferred B.Com / M.Com / Semi-qualified CA with relevant experience 2 5 years of hands-on experience in Accounts Payable or general accounting Strong understanding of accounting principles, TDS, and GST compliance Proficiency in MS Excel and ERP systems (Tally, SAP, Oracle, etc.) Strong analytical, communication, and vendor management skills Ability to meet tight deadlines with a proactive and solution-oriented mindset Qualification : B.Com / M.Com / Semi-qualified CA / CA IPCC Cleared

Position Title: Assistant Manager HPI (Hydrocarbon Processing Industry / Petrochemicals) Location: Mumbai Reports To: Senior Business Manager HPI Experience Required: 5 to 7 years of experience in sales of analytical instruments, specifically Gas Chromatography (GC). Familiarity with customized/system GCs for the petrochemical market is a strong advantage. Educational Qualifications: Minimum: B.Sc. in Chemistry OR Diploma in Electronics, Chemical, or Instrumentation Engineering Preferred: M.Sc. in Chemistry OR Graduate in Electronics, Chemical, or Instrumentation Engineering Role Overview: The Assistant Manager HPI will support the business development and project execution efforts within the Hydrocarbon Processing and Petrochemical industry segment. This role involves technical coordination, project support, and collaboration with internal teams, customers, and international principals to deliver customized GC solutions. Key Responsibilities: Collaborate with the Manager HPI (Petrochemical Market) and technical experts from the principal company to prepare system GC configurations Act as a technical liaison between sales teams, customers, and principal company experts to accurately capture and communicate requirements Coordinate with local vendors and the procurement team to source components and accessories required for complete HPI project deliveries Build and maintain strong professional relationships with key clients, partners, and internal stakeholders Support marketing and sales promotional activities related to the HPI product line Assist sales teams across India by providing technical inputs and support on active opportunities, under guidance from senior management Key Competencies & Skills: Excellent verbal and written communication skills Strong team player with a collaborative mindset Technical aptitude to understand and explain product configurations and analytical applications Ability to deliver impactful presentations and influence customer decisions Willingness to travel extensively across India Qualification : M.Sc. in Chemistry OR Graduate in Electronics, Chemical, or Instrumentation Engineering

Position: Additive Inside Sales Executive Location: Mumbai Employment Type: Full Time Experience Required: 3 5 Years Industry: Additive Manufacturing / Industrial Equipment / Sales Support Job Overview We are looking for a detail-oriented and proactive Inside Sales Executive Additive Division to manage consumables and spare parts sales. The ideal candidate will efficiently handle customer RFQs, process orders, coordinate with suppliers, and drive repeat business by closely tracking consumption patterns. If you have a passion for sales operations, customer service, and managing backend processes with precision, we d love to hear from you. Key Responsibilities Respond to incoming RFQs from customers and service engineers, providing accurate and timely quotations. Track consumable usage and proactively follow up with customers to generate repeat business. Process customer orders efficiently while ensuring adherence to delivery schedules and specifications. Collaborate with suppliers or product managers to gather pricing and availability, negotiate terms, and place purchase orders as required. Coordinate import activities: Prepare and manage documentation Ensure compliance with import laws and tariffs Oversee customs clearance Work with logistics teams and customs brokers to ensure timely clearance of imported goods. Monitor inventory levels and anticipate demand to avoid shortages or overstock situations. Maintain comprehensive records of RFQs, quotes, orders, and supplier communications. Review and verify supplier invoices and match them with received goods for quality and quantity. Keep customers updated on the status of their orders, delivery timelines, and resolve any issues proactively. Identify and implement process improvements to increase operational efficiency and customer satisfaction. Required Skills & Qualifications 3 5 years of experience in inside sales, order processing, supply chain coordination, or customer support preferably in industrial or additive manufacturing sectors. Strong understanding of sales coordination, consumables tracking, and procurement processes. Experience with import procedures, documentation, and dealing with customs clearance. Excellent communication and negotiation skills. Proficiency in MS Office (Excel, Outlook) and familiarity with ERP/CRM systems. Strong attention to detail, with the ability to multitask and meet tight deadlines. Customer-first mindset with the ability to build and maintain professional relationships. Opportunities for career growth in industrial and additive manufacturing domains Supportive and collaborative team environment Exposure to global vendors, processes, and supply chain operations Apply now and be part of a fast-growing and innovative team in the additive manufacturing space.

Position: Executive Accounts Payable Department: Finance & Accounts Division: Corporate Location: Mumbai Experience: 2 3 years Qualification: B.Com / M.Com Job Purpose To manage daily accounts payable operations, ensure accurate invoice processing, tax compliance, and assist in maintaining financial records and reconciliations. The role supports smooth financial operations and adherence to internal controls and statutory regulations. Key Responsibilities Process all vendor invoices and payments on a daily basis, ensuring accuracy and completeness. Ensure compliance with statutory requirements such as Service Tax, TDS, and other applicable tax norms. Review purchase and accounts payable transactions for accuracy and appropriateness. Manage day-to-day petty cash transactions, including reconciliation and documentation. Support direct tax return filings and assist with other statutory submissions. Assist senior team members in preparing balance sheets and financial statements. Enter and verify financial data, including input of correct codes into the accounting system. Maintain up-to-date and accurate records of all payments, invoices, requisitions, and related correspondence. Prepare and reconcile bank statements on a regular basis. Maintain and process payroll records for staff and seafarers, including salary master updates. Verify and process site allowances based on Daily Progress Reports (DPRs). Handle data entry, record keeping, and systematic filing of all accounting vouchers. Maintain records and handle transactions related to COMACOE Dubai and Mauritius accounts. Ensure adherence to ISO systems and compliance procedures across all activities. Preferred Candidate Profile Bachelor's or Master s degree in Commerce (B.Com / M.Com). 2 3 years of relevant experience in Accounts Payable or general accounting. Proficient in MS Excel, accounting software (e.g., Tally, ERP systems), and reconciliations. Strong attention to detail with a high level of accuracy in data entry and financial documentation. Knowledge of Indian taxation (TDS, Service Tax) and basic payroll processes. Good communication and organizational skills. Ability to manage multiple priorities and meet deadlines under pressure. Familiarity with ISO procedures and compliance frameworks is an advantage.

Quantitative Researcher Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time Your Future Role at QRT As a Quantitative Researcher, your primary objective will be to develop high-quality predictive signals by analyzing large and diverse datasets to identify statistical patterns and trading opportunities. You will collaborate closely with fellow researchers to share methodologies, data sets, and results, contributing to the continuous improvement of QRT s global execution platform. Monitoring and refining model performance over time will be key to maintaining the effectiveness of your strategies. Key Responsibilities Develop and validate predictive signals using advanced quantitative techniques. Analyze large datasets across multiple time frames to uncover meaningful patterns and opportunities. Collaborate with other researchers to share insights, methodologies, and datasets. Implement trading signals and integrate relevant datasets within QRT s execution platform. Continuously monitor signal behavior and model performance, making improvements as needed. Your Present Skillset Advanced degree in a quantitative discipline such as Data Science, Statistics, Mathematics, Physics, Engineering, or a related field. Proficiency in at least one programming language commonly used in quantitative research (e.g., Python, R, Matlab, C++, C#). Strong foundation in statistics, machine learning, NLP, or AI techniques is an advantage. Experience working with large datasets and conducting analysis across multiple time frames is a plus. Ability to multitask effectively in a fast-paced environment while maintaining attention to detail. Intellectual curiosity and a passion for solving complex problems by exploring new data sources and innovative methods. Capacity to work autonomously while contributing positively within a collaborative team environment.

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