Algorithm Updates Jobs in Mumbai

Assistant Business Manager SEO Location: Mumbai Experience: 2 4 Years Education: Graduate (Any discipline) Employment Type: Full-Time About the Role We re looking for an enthusiastic and detail-oriented Assistant Business Manager with hands-on experience in SEO and digital marketing analytics. You ll play a crucial role in driving organic growth for client websites, delivering impactful SEO strategies, and ensuring data-driven decision-making through regular performance analysis. Key Responsibilities Develop and implement detailed SEO recommendations for assigned client websites Conduct comprehensive SEO audits to ensure content and structure compliance with current best practices Monitor timelines, deliverables, and ensure commitments are met for client projects Create and deliver monthly performance reports for clients, offering insights and action plans Stay up to date with the latest SEO trends, Google algorithm updates, and industry developments Work on Google Ads (AdWords) campaigns to support paid marketing efforts when needed Analyze quantitative and qualitative data using web analytics tools (such as Google Analytics) to guide strategic decisions Translate analytics findings into actionable, performance-driven SEO plans Requirements 2 4 years of experience in SEO, digital marketing, or a related field Strong understanding of both on-page and off-page SEO practices Hands-on experience with SEO tools (e.g., Google Search Console, SEMrush, Ahrefs, Screaming Frog) Working knowledge of Google Ads and campaign management Proficiency in using Google Analytics and other web analytics tools Ability to analyze data, identify trends, and translate them into strategy Strong written and verbal communication skills Highly organized, proactive, and capable of managing multiple projects simultaneously Preferred Qualities Self-motivated and results-driven mindset Passion for digital marketing and search engine technologies Ability to work collaboratively across teams and with external stakeholders Strong attention to detail and time management If you re passionate about SEO and want to be part of a dynamic team driving digital growth we d love to hear from you! Qualification : Graduate (Any discipline)

Business Manager SEO Strategy Location: Mumbai Experience: 4 5 Years Education: Graduate (Any Discipline) Employment Type: Full-Time About the Role We are seeking a results-driven and strategic Business Manager with strong expertise in SEO to lead and manage our search marketing initiatives. In this role, you will drive the planning, execution, and optimization of SEO campaigns that align with client business goals, while also guiding internal teams and ensuring best practices are maintained across all efforts. Key Responsibilities Plan, develop, and execute strategic SEO initiatives for client and internal projects Translate business objectives into effective and scalable SEO strategies Lead all aspects of the company s SEO and search marketing efforts Maintain regular communication with clients to manage expectations, report progress, and ensure satisfaction Ensure timely delivery of project milestones, reports, and campaign deliverables Monitor and adapt to evolving SEO trends, search engine algorithm updates, and industry best practices Analyze performance data from web analytics tools and convert insights into actionable SEO plans Educate and upskill internal marketing teams on SEO principles, processes, and evolving techniques Maintain and update internal SEO documentation and SOPs for consistent implementation Requirements 4 5 years of experience in SEO, digital marketing, or a related strategic marketing role Proven ability to lead SEO campaigns from strategy to execution and analysis Deep understanding of on-page, off-page, and technical SEO Hands-on experience with SEO tools such as Google Search Console, SEMrush, Ahrefs, Screaming Frog, etc. Strong analytical skills and experience using Google Analytics and other web performance tools Excellent verbal and written communication skills with the ability to present data-driven insights Experience managing client relationships and cross-functional internal teams Ability to manage multiple projects with tight deadlines in a fast-paced environment Preferred Skills Experience in agency or client-facing roles Familiarity with Google Ads or other paid marketing channels (a plus) Strong project management and stakeholder engagement capabilities Opportunity to lead impactful SEO strategies for growing brands Work in a collaborative environment focused on performance and innovation Gain exposure to a wide range of industries and digital tools Competitive compensation and growth opportunities If you're passionate about digital strategy and ready to take ownership of SEO success at a strategic level, apply now and let s build something exceptional together. Qualification : Graduate (Any Discipline)

Senior Business Manager SEO Strategy & Client Success Location: Mumbai Experience: 5 7 Years (including proven team leadership experience) Education: Graduate (Any Discipline) Employment Type: Full-Time About the Role We re looking for a dynamic and experienced Senior Business Manager to lead our SEO initiatives and team operations. This role requires a strategic thinker with hands-on SEO expertise, strong client management capabilities, and a proven track record of leading high-performing teams. If you re passionate about driving organic growth and enjoy turning business goals into successful search strategies, this is the role for you. Key Responsibilities SEO Strategy & Execution Identify technical and structural website issues and provide actionable solutions to improve crawlability, indexing, and user experience Implement advanced SEO strategies using a combination of existing and innovative techniques Continuously monitor and improve search engine rankings for key clients across major and niche search engines Collaborate with content creators and web development teams to execute on-page and off-page SEO initiatives Drive SEO performance across all client accounts with a focus on ROI, traffic growth, and conversions Team & Client Leadership Lead and mentor a team of SEO specialists and digital marketers Translate clients business goals into strategic SEO campaigns Act as a primary point of contact for clients, ensuring transparency, performance updates, and strategic alignment Work closely with internal teams (content, design, web services) to ensure seamless execution of campaigns Reporting & Insights Develop customized performance reports using tables, graphs, and visual summaries to clearly communicate SEO progress and insights Convert complex data into actionable insights and business-friendly summaries for client presentations Maintain consistency in analytics and reporting best practices across the team Business Growth Identify upselling and cross-selling opportunities within existing client accounts Contribute to proposal creation, pitch support, and strategic planning for new business development Stay current with SEO trends, algorithm updates, and industry innovations through ongoing research and experimentation Requirements 5 7 years of experience in SEO/digital marketing with a focus on client strategy and team leadership Strong technical SEO knowledge, including site architecture, crawl optimization, schema, and speed optimization Hands-on experience with SEO tools like Google Search Console, Ahrefs, SEMrush, Screaming Frog, etc. Proficient in using analytics and reporting platforms like Google Analytics, Data Studio, and Excel Excellent client communication and stakeholder management skills Strong analytical mindset with the ability to derive insights from large datasets Proven ability to manage multiple projects and lead cross-functional teams Business acumen to identify growth opportunities within existing projects Preferred Skills Background in agency or client-facing environments Experience in SEO for high-traffic or enterprise-level websites Exposure to paid media, CRO, or broader digital strategy is a plus Lead high-impact projects with well-known clients Work with a driven, growth-oriented team in a collaborative culture Opportunity to influence SEO strategy and business outcomes directly Competitive compensation and clear growth path into senior leadership Qualification : Graduate (Any Discipline)

Position: SEO Manager DreamStart Employment Type: Full-Time Department: Marketing Team Location: Mumbai About TimesPro TimesPro, the award-winning Higher EdTech initiative of the Times of India Group, is dedicated to delivering Education 4.0 education that is learner-centric, industry-relevant, role-specific, and technology-enabled. Since 2013, we have empowered thousands of learners with programs that span Early Career skilling, Executive Education, and Enterprise L&D solutions. We work with top-tier national and global institutions to make high-quality learning accessible and impactful across sectors such as BFSI, e-commerce, technology, and more. About DreamStart DreamStart is TimesPro s dedicated digital platform focused on enabling career discovery, upskilling, and employability for young professionals and jobseekers. With a growing web and app presence, DreamStart offers a blend of job listings, content, and courses helping users take control of their career journeys. Role Overview We are seeking a results-oriented SEO Manager to lead and execute SEO strategies that drive organic traffic, engagement, and long-term growth for the DreamStart website and mobile app. This role will play a crucial part in aligning SEO efforts with business outcomes like lead generation and revenue. Key Responsibilities Organic Growth Strategy Develop and execute a data-driven SEO strategy to grow organic traffic for both the DreamStart website and app. Align SEO goals with lead generation and revenue growth targets. Content SEO Partner with the content team to identify keyword opportunities, optimize new and existing content, and ensure on-page best practices. Provide detailed content briefs and SEO recommendations for scalable content creation. Technical SEO Conduct regular SEO audits to identify and resolve technical issues related to crawling, indexing, site performance, and mobile optimization. Collaborate with tech teams to implement structured data, improve page speed, and resolve technical errors. Cross-functional Collaboration Coordinate with internal stakeholders (content, tech, product) and manage external SEO agencies or consultants. Ensure smooth implementation and tracking of all SEO activities. Performance Monitoring & Reporting Use tools such as Google Search Console, GA4, SEMrush, Ahrefs, Screaming Frog, etc., to monitor performance. Deliver regular reports with actionable insights and recommendations for continual improvement. Market Awareness & Trends Stay current with SEO trends, search algorithm updates, and competitor activity especially in the EdTech and job portal space. Proactively implement industry best practices to maintain and improve search visibility. Qualifications & Skills Experience & Expertise 5 6 years of hands-on SEO experience, preferably in EdTech, job portals, or content-driven digital platforms. Proven track record of driving organic growth and improving search rankings. Technical Proficiency Strong knowledge of SEO tools (GA4, GSC, SEMrush, Ahrefs, Screaming Frog, etc.). Basic understanding of HTML, CSS, and web performance fundamentals. Experience optimizing for both web and Android mobile platforms. Analytical & Communication Skills Strong analytical mindset with the ability to interpret data and translate it into actionable strategies. Excellent communication, collaboration, and project management skills. Work Ethic Self-driven, detail-oriented, and capable of working in a fast-paced, cross-functional environment. This role is a great fit for someone who thrives on combining data, strategy, and execution to deliver measurable outcomes. Join us to shape the future of career discovery and learning in India.

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.

Digital Marketing Lead Reporting To: Head of Marketing Department: Marketing Location: Mumbai Key Objective of the Role Lead the digital marketing function across platforms and business lines. Collaborate with cross-functional teams including business units, contact center, and tech to strengthen internal capabilities and drive growth. Use data-driven strategies to increase website traffic, enhance visibility, and continuously optimize performance through innovation and insight. Key Responsibilities Digital Strategy & Execution Develop and execute comprehensive digital marketing strategies aligned with both B2B and B2C business goals. Campaign Management Plan, implement, and optimize campaigns across key paid media platforms (Google Ads, Meta, LinkedIn, etc.), focusing on ROI and lead generation through full-funnel journeys. SEO/SEM Leadership Design and lead SEO and SEM strategies to boost organic visibility, improve keyword rankings, and drive quality traffic. Team Leadership & Development Mentor and manage a team of digital marketers, performance marketers, and data analysts fostering growth, collaboration, and performance excellence. Budget & Performance Management Manage digital marketing budgets, monitor KPIs, and report on campaign performance to identify opportunities for scale and efficiency. Stakeholder Collaboration Work closely with the leadership team to align digital marketing efforts with broader business objectives. Lead Funnel Optimization Partner with the contact center team to analyze the lead funnel, gather insights, and implement data-backed improvements. Trend Monitoring & Innovation Stay updated on industry trends, algorithm changes, and emerging digital tools to ensure competitive advantage. Marketing Automation & CRM Drive implementation of marketing automation solutions and CRM system integrations to streamline marketing workflows. Role Requirements Education Bachelor s or Master s degree in Marketing, Communications, or a related field. Experience 9 10 years of hands-on experience in digital marketing with a strong background in performance marketing and strategic planning. Technical Skills Deep knowledge of SEO, SEM, paid media, CRM automation, and performance marketing. Proficiency in Google Ads, Meta Ads, LinkedIn Campaign Manager, and analytics/reporting tools. Strong analytical mindset with the ability to interpret data into actionable insights. Skilled in building reports and delivering high-impact presentations. Behavioral Competencies Leadership Analytical Thinking Problem Solving (Digital-first) Customer Obsession Excellent Communication High Attention to Detail Adaptability and Agility Qualification : Bachelors or Masters degree in Marketing, Communications, or a related field

Job Title: Compliance Manager Regulatory Relationship Location: Mumbai Department: Compliance Category: Others Job Purpose We are seeking a detail-oriented and proactive Compliance Manager Regulatory Relationship to support the Compliance function by ensuring that the bank s policies, procedures, and operations align with regulatory and ethical standards. This role involves monitoring regulatory changes, reviewing internal processes, and driving compliance initiatives across departments. Key Responsibilities Manage and oversee compliance-related operations including policies, investments, and procedures. Design, implement, and monitor internal control systems to prevent and address legal or policy violations. Conduct regular assessments of compliance frameworks to enhance their efficiency and effectiveness. Identify risks and recurring issues by reviewing internal reports and procedural documentation. Conduct periodic audits of processes and maintain accurate compliance records. Develop compliance manuals, checklists, and regulatory documentation. Collaborate with department heads to review and update compliance policies across functions. Engage with senior management to drive implementation of compliance frameworks. Initiate investigations into instances of non-compliance and follow through with corrective actions. Facilitate employee training programs focused on legal and compliance standards. Supervise compliance officers and promote knowledge sharing and best practices within the team. Foster collaboration with internal stakeholders to align compliance efforts across the bank. Stay updated on evolving regulatory trends and industry best practices. Promote a culture of accountability, continuous learning, and shared ownership within the compliance team. Support in attracting, developing, and retaining top talent within the compliance function. Qualifications & Experience Educational Requirements: Graduate in any discipline (mandatory) Postgraduate degree in a relevant field (preferred) Experience: 2 5 years of relevant experience in regulatory compliance within the banking or financial services sector Qualification : Graduate in any discipline (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: Social Media and Performance Marketing Location: Mumbai No. of Positions: 2 Experience: 6 months to 1 year About Us: We are looking for a driven and creative Social Media and Performance Marketing specialist with a proven track record in executing successful social media campaigns. If you are passionate about optimizing performance across various social platforms and analyzing data to drive impactful results, we want you on our team. Position Overview: As a Social Media and Performance Marketing specialist, you will be responsible for executing paid social media campaigns, optimizing performance, and contributing to the overall digital strategy. Your role will involve driving engagement and conversions through a variety of social platforms, ensuring the effectiveness of campaigns, and providing actionable insights based on campaign performance data. Roles and Responsibilities: Execute and manage successful social media campaigns across platforms like Facebook Ads, Google Ads, LinkedIn Ads, and PPC. Develop and implement paid social strategies, including retargeting and performance tactics that drive results. Analyze campaign performance using analytic tools to measure KPIs and continually optimize campaigns. Create engaging and creative social content tailored for each platform while understanding platform algorithms and audience behaviors. Leverage marketing automation tools, CRM systems, and ad platforms for lead generation, retargeting, and building customer journeys. Work closely with both internal and external teams to ensure alignment on campaign goals, messaging, and timelines. Stay up-to-date with the latest social media trends, platform features, and industry best practices. Meticulous reporting and budget management to ensure brand consistency and maximize ROI. Provide case studies and data to demonstrate successful campaigns and results. Skills and Qualifications: Proven hands-on experience in Social Media Marketing (SMM), Search Engine Marketing (SEM), Google Ads, Facebook Ads, LinkedIn Ads, and PPC. Strong analytical skills with experience using analytic tools to track, measure, and report on KPIs. Creativity in developing engaging content that resonates with the audience and adapts to platform algorithms. Familiarity with marketing automation, CRM systems, and ad platforms for lead generation, retargeting, and customer journeys. Excellent communication and collaboration skills to work effectively with cross-functional teams. Eagerness to stay updated on new platform features, social media strategies, and industry trends. Attention to detail in reporting, budget management, and ensuring brand consistency. Bonus experience in additional digital marketing channels like SEO and email marketing is a plus. If you're a passionate marketer looking to make an impact through performance-driven social media strategies in Mumbai, we d love to hear from you!

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

Job Description: IT Support Specialist (Oracle & Ecosys) Experience: 2-3 Years Education: Bachelor's degree in Computer Science, Engineering, or a related technical field (preferred) Job Description: We are looking for an IT Support Specialist to join our team, responsible for supporting and maintaining Oracle databases and the Ecosys web-based application. This role requires a strong understanding of Oracle database concepts and the ability to perform technical troubleshooting, manage users and roles, and ensure smooth operation of integrated systems. In this role, you will be responsible for performing various database administration tasks, ensuring high availability and performance of the system, and providing technical support for Ecosys integration. You will work closely with both internal and external technical teams, including Ecosys Hexagon and USA counterparts. Key Responsibilities: SQL Queries & Database Administration: Perform SQL queries on the database for data retrieval, updates, and troubleshooting. Create and maintain users and roles in Oracle and Ecosys web-based applications, assigning appropriate privileges as necessary. Perform database tuning and performance monitoring to ensure efficient database operations. Handle alerts monitoring and troubleshoot any database-related issues as they arise. Technical Troubleshooting & Integration Support: Provide technical support for integration-related issues between Oracle databases and the Ecosys web application. Troubleshoot and resolve any technical issues related to Oracle database performance and Ecosys system integration. Perform general troubleshooting for integration problems, escalating as necessary for advanced support. System Configuration & Management: Install, configure, and upgrade Oracle server software and related products. Handle application and service start/stop processes for the Oracle and Ecosys applications. Complete project setup and project adjustments within Ecosys. Collaboration & Communication: Interface with Ecosys Hexagon & USA counterparts for technical support, ensuring effective communication and resolution of issues. Collaborate with peers, co-workers, and managers to troubleshoot issues, share knowledge, and optimize systems. General IT Support Duties: Maintain effective working relationships with peers, co-workers, and managers. Perform a wide variety of duties and responsibilities with accuracy and speed under time-sensitive deadlines. Qualifications: Experience: 2-3 years of IT support experience, with a focus on Oracle database administration and integration troubleshooting. Hands-on experience with Oracle database management and performing basic troubleshooting and tuning. Experience with Ecosys web-based applications is a plus. Technical Skills: Strong knowledge of SQL and experience writing SQL queries for data retrieval and updates. Good understanding of Oracle core database concepts and the ability to perform basic database management and troubleshooting. Familiarity with Ecosys web-based applications, including user role management, system configuration, and troubleshooting integration issues. Communication & Interpersonal Skills: Excellent interpersonal, communication, and organizational skills. Ability to work collaboratively in a team environment and maintain effective relationships with peers, co-workers, and external technical teams. Strong ability to work under pressure, handling time-sensitive issues and meeting deadlines. Education: Bachelor's degree in Computer Science, Engineering, or a related technical field preferred. What We Offer: Competitive salary and benefits. Opportunity to work in a collaborative, fast-paced environment. Exposure to cutting-edge technologies and systems. Supportive team culture with opportunities for career growth and professional development. Qualification : Bachelor's degree in Computer Science, Engineering, or a related technical field (preferred)

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

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.

Biomedical Engineer - Field Operations Location: Mumbai Department: Operations Customer Success (Field) Employment Type: Full-Time About Dozee Dozee Health AI is India s leading provider of AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS). Our mission is to save lives by improving patient safety, enhancing outcomes, and reducing healthcare costs through innovative, AI-driven technologies. Trusted by hospitals in India, the USA, and Africa, Dozee is revolutionizing healthcare with cutting-edge solutions. Role Overview As a Biomedical Engineer in Field Operations, you will be the face of Dozee at partner hospitals. This role involves conducting product demonstrations, installing and troubleshooting Dozee devices, and training healthcare professionals on device usage. You will ensure that the deployment and functionality of our solutions meet the highest standards, contributing to better patient outcomes and enhanced operational efficiency. Key Responsibilities Product Demonstrations & Installations Conduct live demonstrations of Dozee s devices at hospitals, showcasing their features and benefits to healthcare professionals. Install Dozee devices, ensuring proper setup and smooth functionality. Provide troubleshooting and technical support during and after installations. Training & Support Train healthcare professionals (nurses, doctors) and patients on how to use Dozee devices and the patient monitoring dashboard. Provide ongoing technical support and assistance, ensuring the devices are used effectively. Gather feedback from end-users to identify opportunities for improvement. Site Assessments & Coordination Perform site assessments to understand hospital requirements and communicate device needs to the remote team. Coordinate with remote teams to relay updates and ensure timely resolution of issues during site visits. Relationship Building Build and maintain strong relationships with healthcare professionals to foster trust and collaboration. Ensure clear, consistent communication between Dozee and hospital staff. Requirements Education & Experience Graduation or Diploma in Science, ITI, or a related field. 0-2 years of field operations or field sales experience in the healthcare or hospital industry. Prior experience working with doctors/nurses is preferred. Skills Basic understanding of computer operations and familiarity with technical tools. Excellent communication skills, with fluency in local languages. Willingness to travel within the city and work in hospital wards. Open to working night shifts occasionally as required. Why Join Dozee Be part of an innovative, mission-driven company revolutionizing healthcare with AI. Opportunity to directly impact patient safety and operational efficiency at top hospitals. Work with a team that has already monitored 1M+ patients and saved over 10 million nursing hours. Qualification : Graduation or Diploma in Science, ITI, or a related field

Analyst FX Risk Management Location: Mumbai Employment Type: Full-time Reporting Structure: Reports to FX Risk Manager at TGS Role Summary The Analyst FX Risk Management is a critical part of the middle office team, responsible for managing foreign exchange exposure across Trading, Finance, and Overheads divisions. The role involves identifying FX risks, executing hedging strategies, and managing derivative settlements to minimize interest rate costs and overdrafts. Key Responsibilities Risk Mitigation: Identify and analyze FX risk across all business divisions; design and implement hedging strategies for new geographies. Trade Execution: Execute FX trades with internal brokers and monitor market trends to identify early signs of risk. Stakeholder Liaison: Collaborate with traders, operations, and the deals desk to assess real-time FX exposures. P&L Management: Accurately allocate hedge P&L to underlying exposures and ensure timely updates of FX performance. Settlements & Liquidity: Coordinate with the derivatives back office for settlements and work with Treasury to manage foreign currency account liquidity. Continuous Improvement: Support reconciliation activities and contribute to the enhancement of risk management systems and processes. Key Relationships Trading Floor & Deals Desk Trade Finance & Operational Treasury Banks, Brokers, and Back Office Qualifications & Skills Education: MBA in Finance, Chartered Accountant (CA), or FRM certification preferred. Experience: 0 2 years in Foreign Exchange markets, interest rates, or cash/liquidity risk management. Technical Skills: Strong proficiency in MS Excel and familiarity with financial systems. Soft Skills: Ability to handle stressful situations under strict deadlines and excellent communication skills. Qualification : MBA in Finance, Chartered Accountant (CA), or FRM certification preferred

Position: Compliance Executive Location: Mumbai Qualification: Graduate Experience: 0 to 2 years Job Description: As a Compliance Executive, you will play a key role in supporting the compliance function within the organization. You will assist in maintaining regulatory adherence, supporting internal policy development, and ensuring that all compliance activities are efficiently tracked and documented. Key Responsibilities: Regulatory Compliance: Track and maintain an updated repository of RBI circulars, notifications, and guidelines that affect NBFCs. Assist in managing compliance checklists and ensure adherence to internal and regulatory timelines. Monitoring & Reporting: Support compliance testing efforts and help identify any gaps or deviations in compliance practices. Prepare and assist in generating compliance status reports and dashboards for internal review. Draft and maintain periodic compliance notes and reports. Policy & Documentation Support: Help in drafting, reviewing, and updating policies, Standard Operating Procedures (SOPs), and compliance manuals. Ensure all compliance-related documents are kept up to date. RBI Correspondence: Assist the Chief Compliance Officer (CCO) in compiling data and preparing documentation for RBI queries, inspections, and supervisory visits. Coordinate internally to gather data for compliance submissions and ensure timely follow-ups. Training & Awareness: Support compliance awareness programs across departments by helping organize training sessions and facilitating internal communications regarding compliance updates. Key Qualifications & Skills: Basic understanding of RBI regulations relevant to NBFCs. Proficiency in MS Excel, Word, and PowerPoint for handling data and preparing reports. Strong attention to detail, particularly in documentation and follow-ups. Good communication skills and the ability to analyze compliance-related issues effectively. Qualification : Graduate