Timespro jobs

Position: Senior Manager Performance Marketing (Global Markets) Employment Type: Full-Time Department: Marketing Team Location: Mumbai About TimesPro TimesPro, an initiative by the Times of India Group, is a leading Higher EdTech platform established in 2013. We champion Education 4.0 values learner-centric, industry-relevant, role-specific, and tech-enabled learning. Our mission is to make excellence accessible through innovative, globally collaborative education for aspiring professionals across industries. We offer: Early Career Programs in BFSI, e-Commerce, and tech Executive Education in partnership with top Indian and international institutions Enterprise Solutions for workforce learning & development Role Overview We are looking for a Senior Manager Performance Marketing to lead and scale our Global Executive Education marketing efforts. The ideal candidate is a data-driven performance marketer with a deep understanding of digital advertising in Gulf (Qatar, UAE, KSA, Kuwait, Bahrain, Oman) and MENA markets. The role is initially individual contributor (IC) with scope to build and lead a team within 6 12 months. Key Responsibilities Performance Marketing Ownership: Lead paid media campaigns (Google, Facebook, LinkedIn, etc.) to drive lead generation, applications, and admissions for executive programs targeting NRIs and local populations in Gulf/MENA markets. Funnel Optimization: Optimize for deeper-funnel KPIs not just leads but applications and conversions in line with business goals. Strategic Campaign Planning: Use data, market insights, and competitor analysis to build impactful media plans and go-to-market strategies. Continuous Optimization: Monitor campaign performance, identify trends, and optimize creatives, targeting, and budgets to maximize ROI. Cross-functional Collaboration: Work with internal teams (creative, business, tech) and external partners/agencies to align campaign execution and objectives. Reporting & Analysis: Deliver detailed campaign performance reports (daily/weekly/monthly) with actionable insights on CAC, CPL, CPA, and engagement metrics. Required Qualifications & Experience 10+ years of performance marketing experience with a strong track record in lead acquisition and funnel optimization. Proven experience managing campaigns in Gulf/MENA markets; APAC experience is a bonus. Proficiency in paid platforms: Facebook Ads, Google Ads, LinkedIn, and affiliate networks. Strong analytical mindset with the ability to translate insights into actions. Effective communicator and collaborator across internal and external stakeholders. Experience using Salesforce or similar CRM tools is an advantage. Bachelor s degree in Marketing, Advertising, or a related field preferred. Prior experience in the EdTech or education segment is essential. Leadership experience is a plus this role has the potential to evolve into a team leadership role. You ll play a strategic role in scaling TimesPro s global education footprint, with the opportunity to own marketing outcomes in a high-growth, mission-driven organization backed by India s largest media group. Qualification : Bachelors degree in Marketing, Advertising, or a related field preferred

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

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.

Position: Deputy Manager Business Planning Employment Type: Full-Time Department: Finance Team Location: Mumbai About TimesPro TimesPro, the award-winning Higher EdTech initiative from the Times of India Group, is committed to revolutionizing professional education in India. Established in 2013, we deliver Education 4.0 an approach that is learner-centric, industry-relevant, role-specific, and technology-enabled. We offer a broad range of programs: Early Career Programs in BFSI, e-commerce, and technology Executive Education in collaboration with top national and global institutions Enterprise Learning Solutions for organizational development Role Overview We are seeking a detail-oriented and analytical Deputy Manager Business Planning to join our Finance team. This role plays a critical part in financial planning, performance analysis, cost management, and supporting strategic decision-making. You will work closely with cross-functional teams to drive financial insight and business alignment. Key Responsibilities MIS Reporting Prepare and present monthly, quarterly, and annual MIS reports, dashboards, and KPIs Deliver actionable insights and financial commentary Ensure timely and accurate reporting to stakeholders Financial Modeling & Business Case Analysis Build robust financial models for new business lines and long-range planning Conduct feasibility studies, ROI evaluations, and scenario planning Partner with business teams to assess commercial viability Cost & Responsibility Accounting Implement and maintain cost tracking systems Analyze cost structures by product, service line, and function Drive responsibility accounting to evaluate departmental efficiency Variance Analysis Analyze monthly actuals vs. budget/forecast Investigate deviations and recommend corrective measures Cash Flow & Fund Flow Management Monitor daily cash positions and forecast fund requirements Coordinate with treasury to optimize working capital and liquidity Budgeting & Business Planning Lead annual budget preparation and quarterly forecasting Align planning with organizational goals and market conditions Drive long-term financial and strategic planning initiatives Competitive & Market Intelligence Analyze competitor P&Ls and benchmark financial performance Provide insights on market trends to support strategic decisions Benchmarking & Best Practices Compare internal performance against industry benchmarks Recommend improvements to financial planning and analysis processes Key Requirements Skills & Tools Strong analytical and problem-solving capabilities Advanced Excel and financial modeling skills Proficiency in data visualization tools (e.g., Power BI, Tableau) Knowledge of SAP and financial accounting standards Excellent communication and stakeholder engagement skills Qualifications CA / CMA / MBA (Finance) or equivalent 2 5 years of experience in FP&A, business planning, cost accounting, or related functions This role offers an excellent opportunity to contribute to the financial backbone of a fast-growing EdTech organization, with exposure to strategic planning and cross-functional collaboration. Qualification : CA / CMA / MBA (Finance) or equivalent

Position: Program Advisor Employment Type: Full-Time Department: Management Team Location: Mumbai About TimesPro TimesPro is a leading Higher EdTech initiative of the Times of India Group, established in 2013 with a mission to make quality education accessible and industry-relevant. We champion the principles of Education 4.0 learner-centric, role-specific, technology-enabled, and globally collaborative. We offer: Early Career Programs in BFSI, e-commerce, and tech Executive Education in partnership with top Indian and global institutions Enterprise Solutions for workforce learning & development Role Overview We are looking for a dynamic and consultative Program Advisor to support the Executive Education business at TimesPro. In this role, you ll engage with senior and mid-level working professionals, advising them on the right executive learning programs to accelerate their careers. If you have a flair for communication, a consultative mindset, and a passion for lifelong learning, this role is for you. Key Responsibilities Consultative Counseling: Advise and guide working professionals on executive programs offered in collaboration with top Indian and international institutions. Lead Engagement: Engage 100 120 prospects daily via phone, understand their career goals, and match them with suitable programs. Needs Assessment: Understand personal and professional aspirations of potential learners and align program offerings to meet those needs. Follow-ups & Closures: Maintain regular contact with prospective learners, address queries, and assist them through the decision-making and enrollment process. CRM Management: Log all interactions and maintain lead details and follow-ups using CRM tools to ensure organized communication and tracking. Collaboration: Work closely with internal teams to ensure smooth onboarding, enrollment, and handover of enrolled participants. Performance & Incentives: Achieve or exceed monthly enrollment targets and earn industry-leading incentives and rewards. Training & Development: Attend ongoing training sessions to improve product knowledge, communication skills, and overall performance. Desired Skills & Experience Experience: 2 3 years of experience in consultative sales, education program sales, executive search, or training & development. Communication: Excellent verbal communication, strong listening skills, and persuasive selling abilities. CRM Proficiency: Prior experience working with CRM software to manage leads and track follow-ups. Industry Passion: Strong interest in the education sector and belief in its transformative potential. Personality Traits Confident, empathetic, and approachable demeanor. Positive attitude with a strong ethical foundation. Adaptive and open to feedback and learning. Team player with a professional work ethic. Punctual, respectful, and customer-focused. This role offers a fantastic opportunity to impact careers, contribute to a fast-growing EdTech brand, and work with a motivated and high-performing team.

Sr. Associate, Index Operations Fixed Income Location: Noida, India Department: Operations Group Grade Level: 11 About the Role Join the Fixed Income Index Calculation and Distribution (ICAD) Team, a key part of the Global Index Management & Production Group at S&P Dow Jones Indices. This role focuses on the day-to-day calculation, validation, and dissemination of fixed income indices, supporting critical financial benchmarks used worldwide. Key Responsibilities Perform daily calculation and validation of fixed income indices, ensuring data accuracy and operational excellence. Analyze corporate actions, market data, and pricing inputs to maintain index integrity. Oversee operational workflows and troubleshoot system alerts with technology partners. Lead or assist in automation, new index launches, and system enhancement projects. Collaborate with internal stakeholders across Product Management, Index Services, IT, and Client Coverage. Monitor fixed income market developments to refine index operations and methodologies. Qualifications Bachelor's degree in Finance, Economics, Business, Mathematics, or a related field. 4 5 years of experience in financial services, preferably with exposure to fixed income, derivatives, or commodities. Strong knowledge of financial markets and index concepts. Proficiency in Excel, with additional skills in SQL, Python, MongoDB, or VBA considered a plus. Excellent communication skills, strong analytical ability, and an aptitude for multi-project coordination. Why Join S&P Dow Jones Indices Work with one of the most trusted names in global finance. Gain hands-on experience in index operations that influence trillions in global assets. Be part of a collaborative, innovative environment focused on continuous learning, automation, and efficiency. Qualification : Bachelor's degree in Finance, Economics, Business, Mathematics, or a related field.

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

Job Description We are looking for a highly skilled AI Engineer with expertise in Large Language Models (LLMs), machine learning, data engineering, and product development. The ideal candidate will drive the development of intelligent, scalable, and ethical AI solutions while leveraging cutting-edge technologies to solve complex challenges. Required Qualifications Expertise in LLMs, machine learning, and data engineering. Knowledge of transformer architectures and deep learning models like CNNs and RNNs. Strong in Python and JavaScript; familiarity with C++ and Java is a plus. Experience with TensorFlow, PyTorch, and Keras for AI model development. Proficient in building scalable data pipelines and performing data preprocessing. Familiarity with AWS, Google Cloud, or Azure for scalable deployments. Understanding of CI/CD practices for automating AI workflows. Awareness of AI ethics, including bias mitigation and fairness principles. Strong analytical and problem-solving skills with adaptability to new technologies. Roles and Responsibilities Develop and fine-tune LLMs for tasks like retrieval-augmented generation (RAG). Build and deploy machine learning models using frameworks like TensorFlow, PyTorch, and Keras. Create scalable data pipelines using Apache Spark, Hadoop, and SQL. Conduct data preprocessing, including cleaning, transformation, and feature engineering. Leverage agentic frameworks such as LangGraph, CrewAI, and AutoGen to design advanced AI workflows. Deploy AI models on cloud platforms (AWS, Google Cloud, Azure) and implement CI/CD practices. Develop generative models like GANs for synthetic data generation and analysis. Ensure ethical AI design by mitigating bias and promoting fairness. Troubleshoot and optimize AI systems for performance and scalability.

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Opening Summary We are seeking a highly skilled and motivated Machine Learning (ML) Engineer to join our dynamic team. The ML Engineer will design, build, and deploy machine learning models and systems to solve real-world business problems. You will work closely with data scientists, product managers, and software engineers to develop scalable and efficient ML solutions, ensuring the models deliver value while maintaining performance, scalability, and interpretability. Responsibilities Design, develop, and deploy machine learning models and algorithms to address business needs. Build scalable data pipelines to support machine learning workflows. Collaborate with data scientists to transform prototypes into production-ready solutions. Optimize and fine-tune models to improve accuracy, speed, and scalability. Develop APIs to integrate ML models into production applications. Monitor and maintain deployed models, ensuring performance and accuracy over time. Implement best practices for data preprocessing, feature engineering, and model evaluation. Work on advanced ML techniques such as NLP, computer vision, and deep learning as needed. Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Ensure compliance with data governance, security, and privacy standards. Keep up-to-date with the latest advancements in AI/ML technologies and tools. Requirements Proficiency in Python or R for machine learning model development. Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. Knowledge of cloud platforms (AWS, Azure, GCP) for deploying ML models. Experience with data processing libraries such as Pandas, NumPy, and SQL. Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning. Knowledge of NLP, computer vision, or time-series analysis is a plus. Familiarity with version control systems like Git. Experience with MLOps tools such as MLflow, Kubeflow, or Sagemaker. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to explain complex technical concepts to non-technical stakeholders. Strong attention to detail and a commitment to producing high-quality work. Preferred Qualification Experience in developing and maintaining ML pipelines in production. Familiarity with DevOps practices and tools (CI/CD). Knowledge of data governance, security, and compliance in ML systems. Experience working with large-scale datasets and distributed systems (e.g., Spark, Hadoop). Qualification : Bachelor's or Masters degree in Computer Science, Data Science,Mathematics, or a related field.

Senior Software Engineer (Backend) Location: Bengaluru Hiring is still rooted in outdated processes manual screening, unconscious bias, long feedback cycles, and excessive administrative overhead. Organizations spend more time managing hiring than discovering real talent. At Talview, we re changing that with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy The world s first AI Proctoring Agent. Ivy A conversational AI Interviewer transforming first-round screenings. Our impact: 10M+ assessments delivered across 120+ countries. The Role We are looking for a Senior Software Engineer (Backend) to build high-performance systems. You will work across Talview s backend ecosystem including PostgreSQL, Redis, AWS Lambda, GraphQL, Hasura, Temporal, and microservices to deliver secure, reliable, and globally scalable solutions. What You ll Do Design and operate scalable microservices supporting millions of assessments. Monitor and optimize system performance and efficiency. Own backend services end-to-end from development to maintenance. Collaborate with Frontend, QA, Product, and Customer Success teams. Solve engineering challenges directly impacting platform stability. You Might Be a Fit If You Have Required Qualifications: 4 6 years of backend engineering experience, primarily with Node.js. Deep understanding of OOP, design patterns, and SOLID principles. Experience with unit, integration, and functional testing. Strong knowledge of distributed systems and SQL (PostgreSQL). Working knowledge of Docker, Kubernetes, and microservices. Familiarity with: Time-series & Messaging: InfluxDB, Prometheus, Kafka, RabbitMQ, SQS. Caching & Frameworks: Redis, Hasura, Apollo. Cloud: AWS S3, Azure Blob. Bonus Points: Experience in SaaS or high-scale product environments. Hands-on experience with AI-assisted coding tools (Cursor, Windsurf, etc.). Understanding of Agile/Scrum methodologies. Our Culture: The 5Cs We re driven by Collaboration, Commitment, Credence, Customer-centricity, and Candor. We work together, ship quality, and communicate openly. What You Get Competitive compensation and best-in-class hardware. Flexibility: 5-day work week and flexible hours. Growth: Accelerated career paths in a fast-scaling organization. Perks: Stocked pantry, monthly lunches, and annual offsites.

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Senior Data Scientist Experience: 1-4 Years | Location: Bengaluru About Gameskraft: Founded in 2017, Gameskraft has rapidly become one of India s fastest-growing online gaming companies. Our mission is to build a safe, secure, and responsible gaming ecosystem while delivering unmatched experiences through cutting-edge technology and design. We are the only gaming company in the industry with ISO 27001 and ISO 9001 certifications. About the Role: As a Senior Data Scientist, you will play a key role in driving data-driven decision-making by developing and implementing advanced analytics and machine learning solutions. You will work on high-impact projects across different business units, collaborating with stakeholders to optimize business performance and user experience. Key Responsibilities: Data Strategy & Governance: Develop and execute a data strategy aligned with business goals. Identify and prioritize high-value data science opportunities. Ensure data accuracy, integrity, and governance by working with data engineering teams. Advanced Analytics & Machine Learning: Design, develop, and deploy machine learning models for regression, classification, clustering, and time-series forecasting. Stay updated with state-of-the-art algorithms and implement innovative solutions. Optimize data pipelines and model performance for scalable deployment. Collaboration & Innovation: Work closely with business leaders, product teams, and IT to integrate data science solutions into business processes. Foster a culture of innovation by exploring emerging technologies and methodologies. Translate complex technical concepts into actionable business insights for non-technical stakeholders. Performance Monitoring & Reporting: Define and track KPIs to measure the impact of data science initiatives. Continuously optimize models for improved accuracy and efficiency. Present insights and recommendations to senior management. What You Bring to the Table: Education: Master s or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field. Experience: 2-4 years of hands-on experience in building and deploying data science solutions. Proven expertise in machine learning, statistical modeling, and analytics. Experience working with large-scale datasets and high-performance computing frameworks. Technical Skills: Proficiency in Python and libraries like scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy, Matplotlib. Experience with Big Data technologies (Hadoop, Spark, distributed computing frameworks). Familiarity with Cloud Platforms (AWS, Azure, GCP) and services like S3, Redshift, Databricks. Deep learning expertise is a plus. Soft Skills & Leadership: Strong communication and stakeholder management skills. Ability to simplify complex data science concepts for non-technical audiences. A proactive problem-solver and team player. Why Join Us? Work on cutting-edge AI & ML projects in one of India s fastest-growing tech companies. Collaborate with top industry leaders and work in a fast-paced, dynamic environment. Competitive compensation and growth opportunities. A diverse, inclusive, and innovation-driven work culture. If you re passionate about AI, Data Science, and driving real-world impact, we d love to hear from you! Qualification : Masters or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field.

You will have - Bachelor s degree in Computer Science or similar 10-15 years of experience as a Backend developer You will definitely possess these skills Focus on efficiency, user experience, and process improvement. Excellent project and time management skills. Strong problem solving and verbal and written communication skills. Experience developing Distributed backend software and frameworks. Excellent knowledge in Java or Python or Go Excellent knowledge in Spring boot and Micro services architecture Proficiency with PostgreSql, mySQL Understanding of functional programming and CI/CD pipeline Working experience in microservices, containers, MessageQueues, Flink or similar Experience in building REST based API Knowledge in version control systems (e.g., SVN, GIT) Working experience of applying principles of computer science, Data structures, operating systems concepts. Good for you to have Have working knowledge of network protocols. Knowledge in SASE space Experience of event streaming platforms like Kafka Experience using CI/CD pipeline using Gitlab/Jenkins Time-series DB like clickHouse, Druid etc Circuit breaker frameworks like Hystrix Knowledge in Docker Bird s eye view of your role Build high quality backend infrastructure using the modem data pipelines. Scale distributed applications, write code, and deliver with speediness and quality. Compile and analyze data, processes, and code to troubleshoot problems and identify areas for improvement. Interact with internal customers, PMs to define the product and technologies. Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. Participate in code and design reviews to maintain our high development standards. Debug production issues across services and multiple levels of the stack. Collaborate with cross-org teams across the company. Employee Value Proposition (EVP): At Aryaka, we offer a dynamic and innovative work environment where you will have the opportunity to make a significant impact in the network security industry. Our commitment to cutting-edge technology and customer satisfaction provides a platform for continuous learning and professional growth. Qualification : Bachelors degree in Computer Science or similar.

Senior Specialist, Technical Product Management | Pharmaceutical & Life Sciences | Pune, India | Merck & Co. Job Overview: Merck & Co. is seeking a Senior Specialist in Technical Product Management to join our Human Health Digital, Data, and Analytics (HHDDA) division in Pune. In this role, you will play a pivotal part in developing and activating advanced internal forecasting products aimed at optimizing the delivery of medicines to patients. You will collaborate with product management and product delivery teams to build relationships with internal customers, train activation teams, measure product success, and represent customer needs in product development. The ideal candidate will have strong leadership skills, a deep understanding of healthcare and technology, and a passion for product development. As a domain expert in Pharma, you will guide product strategies, inspire innovation, and help drive a growth mindset within the team. Key Responsibilities: Analyze business processes, user needs, and stakeholder challenges to inform product development decisions. Forecasting Expertise: Use your experience with pharma forecasting, including time-series analysis, stochastic simulation, and optimization, to drive product decisions. Voice of Customer: Act as the bridge between internal stakeholders and technical teams, ensuring the customer s voice influences product development. Collaboration & Communication: Work with cross-functional teams to define product requirements, document detailed business needs, and evaluate product features for future development. Product Strategy: Adapt product strategies and roadmaps based on market feedback and evolving customer needs. Leadership: Guide product teams, provide mentorship, and ensure alignment across product management and delivery leads. Innovative Thinking: Stay updated on industry trends in pharma, forecasting technologies, and analytics to propose new features that provide business value. What You Will Achieve: Within 3 Months: Understand the product suite and its objectives. Familiarize yourself with processes, workflows, tools, and company culture. Develop relationships with stakeholders and teams, participating in knowledge-sharing sessions and product ceremonies. Within 6 Months: Collaborate on defining business requirements for upcoming product features. Conduct gap analysis between current and desired outcomes, identifying areas for product enhancement. Within 9 Months: Represent the voice of the customer in product planning, helping to propose, prioritize, and evaluate new product features and improvements. Required Qualifications & Skills: Bachelor s Degree in Computer Science, Engineering, or an MBA (relevant certifications are a plus). 3+ years of experience in a lead product management role within the pharmaceutical or life sciences industry, with 10+ years of total experience in product management or related fields. Expertise in Pharma Forecasting: Applied experience with time-series forecasting, stochastic simulation, and optimization techniques. Experience in designing and developing embedded reporting, dashboards, and visualizations to communicate product data effectively. Strong communication and presentation skills for conveying complex concepts to stakeholders at all levels of the organization. Ability to lead and collaborate with cross-functional teams, driving product initiatives from conception to launch. Preferred Experience: Experience with advanced analytics platforms and data-driven decision-making in healthcare and pharma. Ability to thrive in a fast-paced, dynamic environment with shifting priorities. Location: Pune, India Flexible Hybrid Work Arrangements Visa Sponsorship Available At Merck & Co., we believe in driving data-driven innovation to improve healthcare outcomes globally. As a Senior Specialist in Technical Product Management, you will have the opportunity to shape the future of healthcare technology by contributing to cutting-edge forecasting tools that empower teams to make data-driven decisions. If you are passionate about product management, forecasting, and pharmaceutical innovations, this is your chance to make a significant impact. Qualification : Bachelors Degree in Computer Science, Engineering, or an MBA (relevant certifications are a plus).

Technical Skills: Strong experience in Python, R, or Scala for data analysis and modeling. Proficiency in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong command on NLP domain models. Hands-on expertise with time-series forecasting techniques (e.g., ARIMA, LSTM, GRU), building CICD pipeline and model monitoring system. Experience working with large datasets and distributed computing tools (Hadoop, Spark). Optimize and fine-tune models for performance, accuracy, and scalability. Experience in reinforcement learning or online learning techniques. Expertise in handling large-scale datasets, using tools like Pandas, NumPy, and SQL. Knowledge of cryptocurrency markets, blockchain, and financial modeling. Proficiency in cloud platforms like AWS, GCP, or Azure for deploying machine learning models.

Job Description We are looking for a highly experienced Senior Backend Developer to take ownership and lead the development of our cutting-edge NFT portfolio management solution for our customers. The ideal candidate should have a proven track record working with analytics and finance solutions, and the ability to efficiently manage and process datasets containing hundreds of millions of records. The primary responsibilities will involve seamlessly integrating new NFTs into our existing solution, and enhancing the codebase and infrastructure to accommodate scalability as we expand into new NFT markets. The developer will be tasked with exploring new NFTs and integrating them into our NFT portfolio management platform. Key Responsibilities as a Backend Developer Backend development for NFT portfolio management application which requires massive data with hundreds of Mongo collection size exceeding 10 TB each. Deploy and maintain backend applications on AWS platforms like EC2, Lambda, and S3. Efficient database design, indexing, sharding to processing hundreds of millions of records in a timely manner. Integrating, pulling, and parsing data from the blockchain. Currently pulling data from Flow and Matic blockchains and will continue to expand blockchain platform integrations. API integration with various third-party services to pull in the data, normalize the data and query it. In-depth understanding of MongoDB atlas, realm, graphQL. Collaborating with front-end developers to drive efficient implementation development as the platform continues to grow. Stay up-to-date with the latest advancements in Python, MongoDB, and AWS technologies. Troubleshoot and debug complex backend issues. Exposure to timescale DB, time-series data management is a big plus. Effectively collaborating with asynchronous working model. Monitoring and improving backend performance. Documenting application changes and developing updates. Requirements for a Backend Developer Candidate Bachelor s degree in computer science, information technology, or a similar field. Senior backend developer with special exposure on Python, AWS, MongoDB, Elastic Search etc. Exposure to data engineering, time series data, big data, serverless, AWS SAM, queue management In-depth knowledge of MongoDB and NoSQL database concepts Architecture experience for scalable analytics solutions. Exposure to fintech, crypto, NFT, metaverse industries Excellent troubleshooting skills. Exposure to Project management tools is an added advantage. Additional documentation & flow diagram preparation skills Soft Skills Proficiency in English Efficient taskmaster Self-reliant and quick learner Exposure to asynchronous working Experience in Agile/Scrum software development practices with effective use of project management tools. Creative and efficient problem solver Keep abreast of new trends and best practices in web development Strong critical and logical thinking. Creative and efficient problem solver You have a very high chance of grabbing this position: If you have worked on any web 3.0 projects involving big data. If you have a great sense of the latest trends in the latest web 3.0 technologies If you take initiative and work independently. If you have developed or have experience working in fintech If you have been working with one of the top-notch companies with core experience on Python, MongoDB Atlas, AWS etc. Qualification : Bachelors degree in computer science, information technology, or a similar field.

Golang Developer Location: Bengaluru, India Experience: 3 - 5 Years Job Type: Full-time About VuNet VuNet is a pioneer in Business Journey Observability, leveraging Big Data and Machine Learning to provide end-to-end visibility into customer journeys in financial services. Our platform monitors over 28 billion digital transactions monthly, impacting 300 million users, and powers major banks across India and MEA. Series B funded, recognized by Gartner, Forbes, and NASSCOM Work with cutting-edge observability technology in a fast-paced, innovative environment Collaborative, inclusive culture focused on learning, growth, and ownership Benefits include 100% health insurance (including dependents), mental wellness support, and career development programs Role Overview: Golang Developer You will develop and maintain backend microservices and APIs using Go, contributing to a scalable and robust product architecture. You will collaborate closely with the product and engineering teams, take ownership of deliverables, and help build features that differentiate VuNet s platform in the market. Key Responsibilities Develop backend services and RESTful APIs in Golang Work with product teams to design scalable and maintainable solutions Follow best practices: code reviews, unit testing, and coding standards Troubleshoot, debug, and optimize high-throughput distributed systems Collaborate in an agile startup environment, continuously learning and improving Mandatory Skills 3+ years of Golang development with deep understanding of concurrency and idioms Proficient in building REST APIs, microservices, gRPC, protobuf Experience with Docker, Kubernetes, Git, and CI/CD pipelines (GitLab CI, Jenkins) Familiarity with Kafka or NATS for messaging and streaming Knowledge of time-series/columnar databases (ClickHouse, Prometheus) Experience with metrics/logging/tracing tools (OpenTelemetry, Jaeger, ELK stack) Strong problem-solving and communication skills Good to Have Experience with Terraform, Ansible, Helm (IaC) Understanding Kubernetes and observability concepts (RED/USE metrics, SLOs, SLIs) Familiarity with PostgreSQL, Redis, Cassandra Background in observability, AIOps, or monitoring domains Agile and DevOps practices experience Benefits Comprehensive health insurance for you and family Mental wellness and 1:1 counseling Culture of innovation, growth, and ownership Access to next-gen AI and integrated technology workspace Supportive career growth and training programs