AI Machine Learning Sales Specialist Jobs in Mumbai

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.

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

Position: IQ Analytics Manager CD COE Location: Mumbai Experience Required: 5+ Years Function: Analytics / Business Intelligence / Decision Sciences About the Role As an IQ Analytics Manager, you will play a critical role in driving business growth by uncovering the key levers that influence commercial KPIs. You ll develop and scale data-driven models that influence strategic decision-making for senior leadership, combining technical depth with business acumen to deliver actionable insights. Your work will directly support projects that enhance performance, efficiency, and execution within the CD (Customer Development) Centre of Excellence. Key Responsibilities Analytics & Insight Development Conduct in-depth quantitative analyses to understand drivers behind key commercial KPIs. Translate data into actionable insights that impact decision-making across product and business teams. Build causal and predictive models to diagnose performance issues and suggest improvement strategies. Stakeholder Collaboration Partner with product managers, commercial leads, and functional stakeholders to embed analytics into decision-making. Communicate key business trends and insights to senior leadership using structured storytelling backed by data. Solution Integration Design scalable, production-ready analytical solutions integrated into business and product workflows. Continuously monitor performance of deployed models and evolve them based on real-time business changes. Qualifications & Experience Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute. (MBA from a top-tier institute is a plus.) Minimum 5 years of relevant experience in analytics, business intelligence, or data science roles. Core Competencies Strong business acumen with the ability to translate data into strategy. Proactive and self-motivated with a strong sense of ownership and accountability. Comfortable navigating ambiguity and driving clarity through data. Excellent communication, presentation, and storytelling skills. Ability to adapt and respond to dynamic business environments and shifting priorities. Technical Skills Required Strong command of SQL, Python, and Excel Proven expertise in statistical modelling, AI, and machine learning (including supervised & unsupervised methods) Experience in building and deploying machine learning models at scale Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Google Data Studio Work at the intersection of analytics, technology, and business strategy High-impact role with direct visibility to senior leadership Be part of a dynamic team that values innovation, ownership, and continuous learning Opportunity to solve real-world business problems at scale Qualification : Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute

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.

Quantitative Researcher Macro 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. We leverage technology, data, and research combined with trading expertise to solve complex challenges and generate high-quality returns for our investors. Our culture of innovation and collaboration drives our ambition to remain at the forefront of quantitative investing. Your Future Role within QRT As a Quantitative Researcher specializing in Macro strategies, you will lead the end-to-end research process from signal generation through implementation. Your primary goal will be to develop high-quality predictive signals by analyzing large and diverse macroeconomic datasets, identifying statistical patterns and investment opportunities. You will collaborate globally with researchers, data scientists, technologists, and traders to share methodologies and improve strategy performance over time. Key Responsibilities Lead full-cycle strategy research: signal generation, testing, implementation, and ongoing monitoring. Analyze large, diverse datasets to identify meaningful macroeconomic statistical patterns and opportunities. Collaborate and communicate research results, data sets, and processes with global teams. Integrate signals and datasets into QRT s global execution platform. Continuously track and optimize model performance within your strategies. Your Present Skillset Minimum 3 years of relevant experience with a proven track record in systematic strategy development. Advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics, Engineering, or related disciplines. Strong knowledge of statistics, machine learning, NLP, or AI techniques is advantageous. Proficiency in at least one major programming language (Python, R, Matlab, C++, C#). Experience analyzing large datasets across multiple time frames is a plus. Ability to multitask and maintain high attention to detail in a fast-paced environment. Intellectual curiosity and problem-solving mindset to explore new data sources and innovative research processes. Ability to work independently while contributing effectively within a collaborative global team. Excellent communication skills to engage with technologists, data scientists, and traders worldwide. Equal opportunity employer fostering a diverse and inclusive workplace. Empowering employees to work openly and respectfully for collective success. Comprehensive programs supporting healthy work-life balance alongside professional growth.

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.

Job Title: Pre-Sales Business Analyst (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 10-14 years Openings: 3 Overview: We are seeking a skilled Pre-Sales Business Analyst with expertise in AI/ML and custom software solutions. In this role, you will serve as a key liaison between business stakeholders and technical teams, ensuring alignment in delivering AI/ML-driven solutions that meet client objectives. Key Responsibilities: Act as the primary interface between business stakeholders and technical teams for AI/ML and custom software solutions. Collaborate with clients to gather requirements, define business needs, and document functional and technical specifications. Lead pre-sales activities, including crafting proposals, presentations, RFP responses, and Proof of Concepts (PoCs). Partner with sales and technical teams to develop AI/ML solutions that align with business goals. Conduct market research, competitor analysis, and feasibility studies for AI/ML and custom application projects. Assist in defining solution architecture, pricing models, and go-to-market strategies. Create business cases, ROI analyses, and solution roadmaps to support sales initiatives. Engage with clients for demos, technical discussions, and requirements clarification. Ensure alignment between business needs and technical feasibility through collaboration with product and development teams. Stay abreast of industry trends, emerging technologies, and advancements in AI/ML to enhance solution offerings. Qualifications: 10+ years of experience as a Business Analyst, with a minimum of 4 years in pre-sales for AI/ML and custom applications. Strong communication skills in English, with experience in consulting US businesses. Deep understanding of the AI/ML landscape, with hands-on development experience in AI. Ability to engage in technical-level discussions with both customers and internal teams. A sharp focus on identifying business use cases and understanding customer challenges, aspirations, and priorities. Proven ability to research, develop, and propose solution outlines tailored to client needs. Strong capability to create clear value propositions for proposed solutions. Experience in developing implementation plans within an Agile SDLC framework. Ability to mentor and guide junior pre-sales executives. Qualification : Any Graduate / Post Graduate

Introduction A Technology Sales Engineer role (internally called a Brand Technical Specialist) within IBM Security means providing industry-leading solutions to help our clients navigate the challenges of cloud security, advanced threats, compliance and privacy, as well as mobile and remote security. This role ensures you re continuously growing personally and professionally staying ahead of industry trends and remaining the trusted advisor our clients depend on for success. IBM s excellent onboarding and industry-leading learning culture will equip you to create a lasting impact while advancing your career. In our collaborative and experiential sales environment, you'll work alongside bright minds and keen co-creators always willing to help and be helped as you apply passion to drive our clients' investment in IBM's products and services. Your Role and Responsibilities As a Brand Technical Specialist, you will: Security Strategy Crafting: Work with clients to craft security strategies for infrastructure, applications, and management tailored to their business needs. Enhanced Security Solutions: Detail and present IBM Security solutions that enhance existing technology stacks, helping clients to better manage their security. Effective Communication: Simplify and explain complex technical topics in an easily understandable manner to clients, ensuring clarity and alignment. Trust-Building for Cloud Deals: Build credibility and trust at all levels within client organizations to successfully close complex cloud technology deals, driving value for their business. Required Education Bachelor's Degree Required Technical and Professional Expertise Knowledge of Data Security technologies like Database Activity Monitoring (DAM) using IBM / Imperva / McAfee, deployed both on-premises and in the cloud. Experience guiding clients in adopting DAM solutions, including delivering Proof of Concepts (PoC), Proof of Technology (PoT), Request for Proposal (RFP) responses, and Enablement activities for partners and clients. Strong ability to deliver presentations and demos to clients and partners, explaining complex security solutions in an engaging and clear manner. Experience capturing and prioritizing complex requirements, resolving conflicts, and obtaining client buy-in on assumptions to fill gaps in critical requirements. Good to Have Experience Understanding of heterogeneous types of databases such as RDBMS (DB2, Oracle, MS SQL), RDS, DBaaS / PaaS, Big Data, Data Warehouse, SAP HANA, etc. Experience articulating technology options to clients, advising on strategic decision-making, and exploring innovative solutions to accelerate their digital transformation. At IBM, we foster a culture of growth, collaboration, and innovation. As a Brand Technical Specialist, you'll join a team of experts dedicated to helping clients tackle complex security challenges. You will be empowered with cutting-edge technology and supported by a network of mentors and coaches to ensure your continuous success and development. In this role, your contributions directly impact IBM s growth and help shape the future of security solutions for global businesses. Join us at IBM Security to drive meaningful change and secure the digital transformation journeys of the most innovative companies worldwide. This job description highlights the key responsibilities and qualifications required for the Technology Sales Engineer (Brand Technical Specialist) role, providing potential candidates a clear understanding of the position and its importance at IBM Security.

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.

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

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.

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

Position: Assistant Manager Product Strategy Employment Type: Full-Time Department: Product Strategy Team Location: Mumbai About TimesPro TimesPro, an award-winning Higher EdTech initiative of the Times of India Group, is committed to delivering Education 4.0 learner-centric, industry-relevant, role-specific, and technology-enabled learning. Founded in 2013, TimesPro serves aspiring professionals across industries and age groups through: Early Career Programs in BFSI, e-commerce, and technology Executive Education in partnership with top Indian and global institutions Enterprise Solutions for organizational learning and development Role Overview We are looking for a highly motivated and analytical Assistant Manager Product Strategy to join our growing Product Strategy team. This role is ideal for someone with a strategic mindset, a data-driven approach, and hands-on experience managing digital products throughout their lifecycle. You ll work closely with a high-caliber team of professionals from IIT, IIM, LSE, and top-tier MNCs. This is a great opportunity to contribute meaningfully to product development, learn continuously, and grow with an innovative EdTech organization. Key Responsibilities Customer & Market Insight: Identify customer needs and market trends to generate product ideas that increase market share and enhance user experience. Research & Analysis: Conduct market, customer, and competitive research to gather insights for strategic decision-making. Product Lifecycle Management: Lead product planning, positioning, development, launch, and review ensuring alignment with business goals. Cross-functional Collaboration: Work with engineering, content, operations, marketing, and sales teams to bring products to life and ensure continuous improvement. Strategic Documentation: Maintain comprehensive documentation including business cases, use cases, learner feedback, and audit findings. Competitive Benchmarking: Analyze competitor offerings and identify differentiation opportunities to inform product enhancements. Trend Forecasting: Monitor emerging trends to inform long-term product strategy. Team Management: Build and lead a small, efficient team to support product strategy and execution. Skills & Abilities: Proven experience managing B2C digital products. Strong understanding of the full product lifecycle. Proficiency in product and project management tools. Analytical mindset with excellent problem-solving skills. Comfortable with both strategic thinking and hands-on execution. Strong collaboration skills in a matrix environment. Excellent verbal and written communication skills. Highly proficient in Excel and AI tools. Education & Experience: Bachelor's or Master s degree in Computer Science, Engineering, Business, or a related field (Premier institute preferred). Minimum 5 years of experience in Product Management or Strategy. Experience in EdTech is a strong plus. Reporting To: Product Manager Product Strategy Qualification : Bachelor's or Masters degree in Computer Science, Engineering, Business, or a related field (Premier institute preferred)

Employer Branding & Events Senior Associate Location: Mumbai Experience: 2 4 Years Type: Full-Time About Fynd Fynd is India s largest omnichannel platform and a multi-platform tech company at the cutting edge of retail innovation. We specialize in AI, ML, big data, image editing, and learning technologies enabling over 2,300 brands to manage online/offline sales, inventory, and customer engagement with ease. As a company, we re not just transforming the retail space we re also building a thriving culture that reflects innovation, inclusion, and impact. Role Overview We re looking for a creative and detail-oriented Senior Associate Employer Branding & Events to help bring Fynd s culture to life. This role blends event management, social media storytelling, and vendor operations to shape how people experience and perceive Fynd both inside and out. You ll craft experiences that energize employees, build an authentic online presence, and ensure operational excellence behind every activation. If you love creating engaging moments, managing multiple moving parts, and driving culture through storytelling, we d love to hear from you. Key Responsibilities Event Management & Employee Experience Plan and execute internal events, L&D sessions, workshops, and celebrations. Partner with co-working spaces (e.g., WeWork) for curated monthly activations like flea markets and creative sessions. Handle end-to-end logistics: budgeting, vendor coordination, sourcing, and on-site execution. Gather post-event feedback and amplify moments across internal and external channels. Social Media & Employer Branding Own and execute content strategies for LinkedIn and Instagram (Life at Fynd). Collaborate with designers, freelancers, and team members to create authentic, engaging content. Monitor performance metrics, report monthly insights, and build a vibrant digital employer brand. Actively engage with the online community by responding to comments and DMs. Vendor & Procurement Management Source and manage vendors for merchandise, events, gifting, and activations. Oversee procurement: from POs and quality checks to invoicing and payments. Maintain inventory of company goodies and ensure accurate distribution and stock tracking. Podcast Coordination Fynd Cast Support scheduling, guest coordination, and production logistics for our internal podcast, Behind Closed Doors. Work with editors and freelancers to ensure timely episode rollouts. Track performance analytics and optimize for future content strategies. Internal Communication & Engagement Create new joiner announcements and employee-facing designs using Canva. Plan and support engagement activities to close onboarding cohorts memorably. Assist in the backend coordination of learning and development sessions. Reporting & Presentation Compile event recaps, social media reports, and feedback summaries. Build polished presentation decks to showcase outcomes, insights, and recommendations to leadership. What You ll Need Must-Have Qualifications 2 4 years of hands-on experience in event planning, social media, and vendor management. Bachelor s degree in Marketing, Media & Communication, or related disciplines (preferred). Proficiency in Canva, Google Workspace (Docs, Sheets, Slides), and social scheduling tools like Meta Business Suite or Later. Strong skills in performance analytics and reporting. Excellent communication and stakeholder management abilities. Strong organizational skills, attention to detail, and the ability to juggle multiple priorities. A self-starter mindset with creativity, ownership, and initiative. Nice to Have Experience in podcast production or guest coordination. Exposure to employer branding and employee engagement programs. Familiarity with onboarding or internal communication best practices. Growth We foster a culture of curiosity, creativity, and continuous learning. Flex University: In-house learning opportunities. Learning Wallet: Reimbursement for external courses and certifications. Culture Weekly and quarterly engagement activities. Annual events and celebrations that bring our people together. Wellness Mediclaim coverage for you, your parents, spouse, and kids. Access to licensed therapists to support mental well-being and productivity. Work Culture: We work from our Mumbai office 5 days a week, promoting collaboration, creativity, and a vibrant team environment. If you re ready to shape how people experience work at Fynd this is your stage. Qualification : Bachelors degree in Marketing, Media & Communication, or related disciplines (preferred)

Job Title: Digital AI Manager Location: Mumbai Function: Supply Chain Procurement About Procurement at Unilever Unilever s Procurement team manages over 30 billion in global spend across 50,000+ suppliers. As part of the Supply Chain, Procurement is essential to delivering sustainably sourced materials and services, driving innovation with our partners, and ensuring our purpose-led brands thrive. Our global procurement organization of 1,400+ professionals supports a wide network, including more than 1.5 million smallholder farmers, impacting over 7 million lives. Guided by our Procurement Lighthouse Strategy, we focus on five pillars: Competitive Buying, Resilience, Partnerships, Sustainability, and Value Chain Excellence all powered by Digital and Technology. About the Strategy & Insights Team Established three years ago, the Procurement Strategy & Insights team serves as the nerve center of Unilever s global procurement function. With a vision of transforming knowledge and data into future-fit strategies, the team enables breakthrough transformation across tools, processes, and business models. The team includes: Strategy Team Drives strategic priorities across Business Groups (BG) and Power of One. Insights Team Leads data-driven programs and cross-functional initiatives. Digital Transformation Team Builds digital capabilities, tools, and data infrastructure. Data & AI Innovation Team Focuses on cutting-edge analytics, AI, and Procurement GPT solutions. Role Overview: Digital AI Manager B&W As Digital AI Manager B&W, you will lead the adoption and integration of digital and AI tools within Unilever Procurement. You will drive the implementation of mature AI/analytics solutions, champion digital adoption within the buyer community, and manage transformation initiatives aligned with our 4D Digital Lighthouse Strategy. You will also act as the Program Manager for the Procurement GPT Hero Use Case, helping scale innovative AI-driven solutions. Key Responsibilities 1. Drive 4D Digital Lighthouse Strategy Data Foundations: Enhance the Procurement Data Lake by integrating internal (Unilever Datalake, BDL) and external data (market intelligence, sustainability, resilience, etc.). Maintain a high-quality, accessible data catalogue. Advanced Analytics: Deliver scalable analytics use cases, build self-service analytics tools, and enable data-driven decision-making across key procurement programs. Tool Integration & Automation: Improve and integrate digital tools into the 7-step strategic sourcing process. Enhance the Buyers Console as the central hub for digital tools and services. Culture & Capability Building: Lead digital adoption programs, deliver training (e.g., DigiCon), and drive capability building across the procurement community. 2. Procurement GPT Program Collaborate closely with the Data & AI Innovation team on advanced AI use cases. Manage the transition of innovations into mainstream adoption and support scaled implementation. Key Stakeholders Procurement Leadership Team (UPLT) Head of Strategy & Insights Global Buyer Community UniOps External technology and AI partners Leadership Competencies Strong stakeholder management across complex, matrixed environments Expertise in change management and adoption strategies Skilled in agile project and program management Passion for digital innovation, transformation, and continuous improvement Required Experience Minimum 5 years experience in Unilever or similar FMCG environment Proven experience in digital transformation, analytics, or change leadership roles Track record of delivering strategic, cross-regional initiatives Ability to work in diverse, cross-functional, and global teams

Job Title: Account Executive - Enterprise Sales Location: Mumbai, India Company: Builder.ai About Builder.ai Builder.ai is revolutionizing how businesses build software, making it accessible to everyone, regardless of their technical expertise. With over 800 employees and support from $250M Series D funding, Builder.ai empowers organizations like BBC, Makro, and Pepsi to meet their digital transformation goals. We are ranked among the most innovative AI companies and are proud winners of the Europas 2022 Scaleup of the Year. Our diverse and collaborative team operates globally, upholding our HEARTT values (Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency). We prioritize learning, growth, and pushing boundaries, ensuring that every employee has the opportunity to make an impact. About the Role We are looking for an Account Executive (AE) who is driven to help enterprises embrace digital transformation and grow their online presence. As an AE, you ll be responsible for driving new business, developing account plans, and working with cross-functional teams to deliver results. You ll focus on outbound sales efforts primarily in the BFSI and Manufacturing sectors. You will lead the sales cycle from cold calling to closing deals and develop strong, long-lasting relationships with key decision-makers. Why You Should Join Builder.ai Impactful Work: As an AE, you ll be a part of transformative digital change for enterprises. Autonomy & Growth: This isn t your average sales role you ll have a voice in decision-making and opportunities to lead. Inclusive Culture: We believe in diversity and are committed to fostering an inclusive environment. Perks & Benefits: Enjoy a range of benefits, including discretionary pay, stock options, medical insurance, and more. Responsibilities New Business Development: Target new Enterprise accounts, focusing on BFSI and Manufacturing sectors, primarily through outbound sales efforts. Account Management: Convert existing relationships into potential clients and ensure a smooth transition to Builder.ai. Sales Strategy: Develop and execute account plans including cold calling, prospecting, qualification, and presentations. Sales Pipeline Management: Utilize sales tools (like Salesforce, LinkedIn Sales Navigator) to manage your pipeline, track opportunities, and forecast sales. Client Interaction: Identify key decision-makers and influencers, negotiate, and drive the sales cycle to close. Sales Forecasting: Maintain accurate sales forecasts, keeping stakeholders informed about opportunity progress. Networking: Leverage your existing CXO relationships in BFSI and Manufacturing to expand your territory and build new partnerships. Requirements Experience: 8-10 years of sales experience selling software/technology solutions, ideally to Large Enterprises or Mid-Market organizations. Industry Expertise: Strong focus on BFSI and Manufacturing sectors; prior experience in custom application development is a plus. Sales Acumen: Proven track record of cold calling, proactively generating sales, and consistently meeting targets. Enterprise Sales Experience: Experience in handling multi-account sales, dealing with key decision-makers, and managing long sales cycles. Relationship Building: Strong network of CXO-level relationships within your assigned territory. Skills: Knowledge of sales tools like LinkedIn Sales Navigator, Salesloft, and Salesforce.com. Education: Bachelor s degree in Computer Science, Engineering, or Business (preferred but not mandatory). Benefits Compensation: Discretionary variable pay or commission scheme based on performance. Equity: Stock options in a $450 million funded Series D scale-up. Generous Leave: 24 days of annual leave + public holidays. Family Time: 2 Builder family days each year, plus time off between Christmas and New Year. Health Coverage: Fully funded Private Medical Insurance. Meals & Environment: Free lunch at our state-of-the-art office in Gurugram. At Builder.ai, we re not just creating software we re creating opportunities. This role offers you a chance to grow within a fast-paced, dynamic company at the forefront of AI-driven digital transformation. You ll play a key part in shaping the future of technology for some of the world s most respected brands. Qualification : Bachelors degree in Computer Science, Engineering, or Business (preferred but not mandatory).

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