Algorithm Optimization Jobs in Mumbai

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: Software Developer Location: Mumbai Role Overview: We re looking for a passionate Software Developer to join our team and contribute to the creation and enhancement of innovative gaming and mobile applications. If you love coding, solving puzzles, and bringing creative ideas to life, this is the perfect role for you. Key Responsibilities: Develop new game code and prototype exciting gameplay concepts. Collaborate with the team to brainstorm and refine innovative game ideas. Identify, troubleshoot, and fix bugs in our mobile applications. Test apps across iOS and Android devices to ensure smooth functionality. Write clean, efficient code for new features, apps, and products. What We re Looking For: A curious mind who enjoys experimenting and trying new approaches. Strong logical thinking and problem-solving skills. Resilience and patience when facing challenges and bugs. A proactive learner who is eager to acquire new skills independently. A team player who enjoys collaborating to find creative solutions. Focused, dedicated, and detail-oriented work ethic. An innovative thinker capable of thinking outside the box. What You ll Learn: The full app development lifecycle from concept to deployment. Mobile app development for both iOS and Android platforms. The art of persistence continuously exploring new ways to solve problems.

C++ Software Engineer Low Latency Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a leading global quantitative and systematic investment manager, active across all liquid asset classes. We are driven by data, powered by technology, and rooted in scientific thinking. Our interdisciplinary teams of technologists, researchers, and traders collaborate to tackle some of the most complex challenges in finance, pushing the boundaries of innovation to deliver exceptional returns for our investors. Your Role at QRT As a Senior C++ Low-Latency Developer, you will play a critical role in building, optimizing, and maintaining the core infrastructure that powers QRT s global trading strategies. You will be working at the intersection of cutting-edge software engineering and financial systems, developing high-performance, low-latency trading platforms. Key Responsibilities Design, develop, and optimize ultra-low-latency software components and trading systems. Build and maintain execution gateways, exchange simulators, and core infrastructure for trading and backtesting. Implement multithreaded and distributed systems optimized for speed and efficiency. Collaborate closely with researchers, traders, and systems teams to deliver innovative, scalable solutions. Ensure top-tier system reliability, maintainability, and performance in high-stakes environments. Contribute to architectural discussions, code reviews, and best practices for development processes. Required Experience & Skills Experience: Minimum 7+ years of experience in C++ development focused on low-latency systems. Hands-on expertise in C++11/14/17, STL, and Boost, specifically for performance-critical Linux applications. System Knowledge: Strong understanding of Linux internals, x86_64 architecture, CPU cache behavior, and memory management. Proficiency in designing and optimizing multithreaded, real-time, and distributed systems. Networking & Optimization: Deep knowledge of networking protocols, socket programming, and low-level latency tuning techniques. Desirable: Prior experience in electronic trading systems, market data handling, or exchange connectivity is a strong plus. Familiarity with continuous integration/delivery and automated testing in a high-performance environment. Soft Skills & Team Culture Strong analytical and problem-solving mindset with a keen attention to detail. Proven ability to work collaboratively in a globally distributed, high-performing engineering team. Clear and concise communication skills both written and verbal. What QRT Offers Opportunity to work on high-impact systems in one of the world s most competitive domains. Access to state-of-the-art infrastructure and datasets. A collaborative, innovation-driven environment with support for continuous learning. Programs to promote wellness, work-life balance, and professional growth. An inclusive and diverse work culture where your contributions truly matter.

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.

Senior Software Engineer Location: Mumbai, India (roles in Andheri East and / or Turbhe) Description We re hiring Senior Software Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding 1.8 billion, and boasts total portfolio sales of over 500 million. The role We re hiring Senior Software Engineers to build scalable products, tools, and systems across our portfolio companies. This is a high-impact role for someone who thrives in hands-on engineering, writes maintainable code, and is deeply motivated by solving real-world problems with technology. You ll work closely with product and engineering colleagues in both Mumbai and London, driving delivery within a specific business. If you're passionate about engineering craft, product-led development, and delivering systems that scale, we d love to hear from you. Behaviours that we look for Solve problems rigorously, not reactively - breaking them down into tractable elements and considering multiple paths to resolution. Write clean, defensive code with clear structure and minimal complexity. Think about testing and observability early, automating meaningful tests and implementing relevant metrics/logging. Design systems for operations, not just development - considering CI/CD, resilience, cost, and scalability from day one. Use data to guide decisions, validating design impact, performance, and real user outcomes. Key responsibilities Working within our Engineering Centre of Excellence in Mumbai, you can expect to: Build and maintain scalable services, data pipelines, and backend systems. Write readable, efficient code and collaborate closely in code reviews. Automate robust test coverage (unit, integration, and/or contract tests). Implement data models used by analysts and ML teams; ensure schema evolution and data integrity are maintained. Participate in system design sessions and contribute to architectural discussions. Debug production issues across multiple services and layers of the stack. Contribute to CI/CD pipelines and infrastructure-aware development practices. Opportunity This is an excellent opportunity for experienced engineers looking to step up their scope and impact. You ll join a collaborative team with exposure to modern engineering practices, GenAI-enabled systems, and business-critical data products. You'll be part of a global network, shaping real customer outcomes. About you We are seeking to onboard candidates with a proven track record in engineering, demonstrating strong technical leadership skills and a passion for building high-quality, scalable products. Excellent teamwork, adaptability, and a strategic mindset are essential to being successful in this role. The Ideal Candidate We are looking for candidates who bring: Strong proficiency in at least one modern programming language (e.g., Python, Java). Experience with both SQL and NoSQL databases; schema design and query optimisation. Comfort with cloud platforms such as AWS or Azure (e.g., S3, Redshift, Glue, Synapse). Familiarity with CI/CD practices, automated testing, and observability. Knowledge of data structures, algorithms, and their real-world trade-offs. A proactive mindset: ready to take ownership, iterate fast, and learn continuously. Great communication and teamwork skills particularly in cross-functional settings. Process We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with a member of our Talent Acquisition team, followed by a meeting with representatives from BC's Engineering Centre of Excellence. Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

Software Developer (Backend Engineer) Location: Mumbai / Bangalore No of vacancy: 4 Job Profile: The role of software developer (backend) is to work closely on development projects with the product team on various insurance products and features to drive growth. The key skills required are Python/Django/Java. The job would include continuous collaboration with engineers, product managers and quality team and hence ability and desire to work in a team is a must. Must be proficient in at least one programming language, preferred Python/Django/Java. Must have good debugging and communication skills. Should be a team player. At least 2+ years of experience in product based organizations as a software developer. Must have working knowledge with backend and frontend development. Knowledge of software architecture and design principles. Familiarity with databases (e.g. SQL), backend-services (e. g. RESTful). Must know hands-on work experience on Django or similar backend framework. Must have knowledge of GIT. Candidate Profile: Working knowledge of deploying applications on Cloud infrastructure like AWS. Exposure to micro services architecture is an added advantage. Experience with AWS Lambda, Elastic Search, Kafka, Celery adds an advantage. Collaboration in open-source projects will add brownie points to your profile.

Position: Software Engineer Location: Mumbai Employment Type: Full-Time, Permanent Job Overview: We are looking for passionate programmers and coding enthusiasts with 2-4 years of experience in software development. The ideal candidate will have solid expertise in ASP.NET, C#, JavaScript, JQuery, and SQL Server. If you're enthusiastic about coding, problem-solving, and creating high-quality software solutions, we'd love to have you on board! Key Responsibilities: Develop, test, and maintain software applications using ASP.NET, C#, JavaScript, and JQuery. Collaborate with team members to design and implement features based on project requirements. Work with databases (e.g., SQL Server, Oracle, or MySQL) to integrate and manage data efficiently. Ensure the delivery of high-quality, optimized, and maintainable code. Participate in code reviews and contribute to process improvements. Troubleshoot and debug issues, and optimize application performance. Required Skills & Experience: 2-4 years of work experience in software development using ASP.NET, C#, JavaScript, and JQuery. Strong knowledge of ASP.NET MVC and C#. Proficiency in at least one RDBMS (e.g., SQL Server, Oracle, or MySQL). Good understanding of the .NET Framework and its core features. Passionate about programming and coding with a keen interest in learning new technologies. Ability to work well in a collaborative team environment.

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

Position: Spring/SpringBoot Developer Fresher Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: JForce Solutions is looking for freshers with excellent coding skills who can quickly contribute to development tasks. You will work with cutting-edge technologies and be a key part of the team building and enhancing web applications. This role involves developing new applications, enhancing existing ones, and improving their performance. Please note, there will be a 3-year bond for this position based on your experience. Job Location: Vile Parle West, Mumbai. Key Responsibilities: Development: Work on a variety of technologies such as Spring, SpringBoot, J2EE, Java, React, Tomcat, MySQL, Microservices, Redis, OAuth, NodeJS, Angular. Web Application Development: Develop and build new web applications. Enhancement: Improve and enhance the performance of existing applications. Collaboration: Collaborate with other team members to design and implement software solutions. Requirements: Skills: Proficiency or basic understanding of technologies like Spring, SpringBoot, J2EE, Java, React, Tomcat, MySQL, Microservices, Redis, OAuth, NodeJS, Angular. Problem Solving: Strong analytical and coding skills. Freshers: Recent graduates or those with limited experience in Java-based development.

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

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

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

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

Job Description Role Purpose: This is a strategic leadership position. Primary responsibility is to lead and grow the NIQ Qualitative business Nationally. The candidate will be responsible for driving profitable growth, including the full P&L of the business, Representing VOC and creating awareness of all your portfolio internally and externally. You will lead the India Qualitative business and team of Qualitative researchers, work closely with the various Business Vertical leaders and set a strategy that focuses on account acquisition retention and growth This role is also accountable for accurately managing an active sales pipeline and coaching the specialty seller team to better results by leveraging multiple sales drivers such as prospecting, campaigns, and other account engagement tools. Working closely with business partners across verticals to understand client challenges and ensuring strong awareness and presence of Qual with these clients. Core Responsibilities Own Qualitative Research revenue and cost OP, driving long term profitable growth. Develop and execute the Qualitative Strategy to grow share. Developing a clear blueprint on where to play and how to play and how to win. Introduce new solutions and thought leadership pieces to the team Develop and drive continuous though leadership agenda and participate in external forums. Craft India client engagement plans alongside the Vertical leaders and Business partners for target client activation at local India level. Develop sales plans and strategies accordingly to achieve sales goals in collaboration with each Vertical leader. Articulating it clearly with the Vertical business partners on opportunities for new client penetration, cross sales and upgrades leveraging the practices - Bring to Life the Go to Market plan review, adjust with vertical leaders as well partnering with Regional Qualitative Practice. Ensuring that your team of Qual researchers have a clear blue print of which accounts to focus and alignment with business partners. Serve as senior leader on Local RFP engagements working across SA&I and NielsenIQ for a unified response and representing the Qualitative research requirements. Develop KPI for the teams that focuses not just on NBD but also on client retention, win back, and larger share of continuous business. Manage sales team pipeline and assist in closing deals through strategic intervention. Set quarterly and annual sales quotas. Provide detailed sales forecasting on a monthly basis. Own client-level annual operational (OP) planning inputs with the team at the account/geo level. Create sales reports and provide feedback to SA&I India leader. Drive sales maintaining a long-term perspective to maximize overall revenue generation while being able to generate short term results. Ensure the team is scoping projects responsibly that meet SAI profitability guidelines. Partner closely with Customer Success Teams and vertical leaders to align on goals and strategy and drive shared accountability for revenue targets. Implement annual pricing increases and influence price-setting for new services. Lead and Advise on RFPs as necessary. Ensure NIQ GDF / SDF fund usage where applicable. Be a NIQ relationship driver. Liaise with local NIQ sales leaders on joint business planning, regional commercial efforts, and SAI product pushes. Voice of client Maintain & develop the commercial relationship to clients. Monitor the market and competitor products and activities and feed the same to India lead as well as regional Qual leader. Review customer activity and anticipate prospecting needs. Establish and maintain senior level key prospect/client relationships. Provide input for product development and prioritizations based on client feedback, RFPs requirements, competition analysis and market trends. Collaborate Practice leaders as well as Regional Vertical leader to capture needs and get early feedback on our mid / long term product roadmaps. Product positioning and awareness Clearly and convincingly articulate Qualitative offerings and unique value proposition, matching them with relevant client business challenges/KPIs. Where necessary adapt Regional Qual sales framework to India, linked to use cases relevant to specific target buyer personas and Verticals. Adopt and adjust Regionally built buyer personas profile and objection handling playbook to India market needs. Generate buyer personas database by verticals and help activate the same with GTM plan along with the Vertical Leaders. Facilitate the creation of client case studies to support product positioning. Lead or support T2T client meetings concerning Qual. Maintain broader Qualitative product/technical knowledge across all SAI tools. Participate in regional boot camps. Plan and Initiate local Bootcamps to train the Business partners. People management Recruit and hire Qual Research staff as the case may be. Motivate the teams to achieve their goals. Mentoring and guiding on winning techniques using your experience. Setting their targets and goals and guiding them on how to meet and exceed their KPI. Work with training team and peers to develop sales training content and protocols. Ensure internal processes are followed, including adherence to tracking customer and transactional information in CRM system and other sales and operational processes. Regular performance reviews with the team. Qualifications Expert in Qualitative Research techniques University degree in Marketing / Economics / Psychology / Sociology or related field a must. Preferred Postgraduate or MBA 15+ years working experience in Market Research - Strong understanding and appreciation of the various MR protocols such as concept testing, product testing, U&A, Segmentation, Profiling studies, BHT and so on. Proven Leader of high performing teams Expertise in (application of) one of NielsenIQ solutions is a plus Strong analytical skills Proven sales acumen Skillsets Strong sense of urgency and accounta...

Position Title: Senior Software Engineer Position Summary: We are seeking a highly skilled Senior Software Engineer with a strong background in Java or the MERN stack (MongoDB, Express.js, React.js, Node.js). The ideal candidate will have 4-6 years of hands-on experience in developing and maintaining applications, and will play a key role in designing, developing, and deploying software applications. The Senior Software Engineer will collaborate with cross-functional teams to create scalable and efficient software solutions. Key Responsibilities: Software Development: Design, develop, and maintain large-scale software applications using Java or the MERN stack. Collaboration: Work closely with cross-functional teams to define, design, and implement new features. Design Ownership: Take ownership of high-level and low-level designs for each software application. Code Reviews: Conduct code reviews and provide constructive feedback to team members to ensure code quality and best practices. Performance Optimization: Troubleshoot, debug, and optimize existing applications for performance and scalability. Mentorship: Mentor and guide junior developers, helping them grow their skills and contributing to team knowledge. Stakeholder Collaboration: Work with product managers and other stakeholders to understand requirements and deliver optimal solutions. Continuous Learning: Stay up to date with new technologies and trends, acquiring certifications as needed to meet project demands. AI/ML Exposure: Any exposure or experience with AI, ML, or Data Science will be an additional advantage. Required Skills and Qualifications: Proficiency in Java/MERN Stack: Strong experience in designing, developing, and maintaining software applications using Java, Python, or Node.js. Front-End Development: Expertise in React.js (knowledge of Angular is an added advantage). Database Knowledge: Experience with RDMS (Oracle, SQL Server, Postgres) and NoSQL databases like MongoDB. Web Technologies: Proficiency in HTML, CSS, JavaScript, and front-end frameworks. Open-Source Technologies: Extensive experience working with open-source technologies. DevOps & Cloud Knowledge: Well-versed in DevOps practices, cloud deployment (AWS, Azure), and cloud PaaS. Database Management Tools: Knowledge of database management tools like Liquibase or Hibernate is preferable. Version Control: Familiarity with Git and containerization tools like Docker. Software Development Lifecycle: Strong understanding of software development lifecycle processes and methodologies. Communication Skills: Excellent written and verbal communication skills to collaborate effectively within teams and with stakeholders. Cross-Functional Teamwork: Ability to work effectively in a cross-functional environment. AI/ML Advantage: Exposure to AI/ML frameworks (e.g., Keras, Pytorch, Scikit-learn) is a plus. Statistical & Mathematical Modeling: Knowledge of statistical analysis and mathematical modeling concepts is a plus. Education and Experience: Bachelor s Degree in Computer Science, Information Technology, Electronics, Communication, or related fields. Candidates with a degree in other branches of engineering but with proven skills through past experience/projects are also encouraged to apply. Additional Information: Experience Level: 4-6 years of relevant experience in software development. Certifications: Willingness to acquire certifications in new technologies as required by projects. Qualification : Bachelors Degree in Computer Science, Information Technology, Electronics, Communication, or related fields.