Decision Trees Jobs in Bengaluru

Technical Manager Location: Bengaluru Hiring is still weighed down by outdated processes manual screening, unconscious bias, and heavy administrative overhead. Talview is changing that with GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. We help organizations focus on what truly matters: finding exceptional people. Our AI Products Alvy: The world s first AI Proctoring Agent for intelligent global exam monitoring. Ivy: A conversational AI Interviewer transforming first-round screenings. Impact: 10M+ assessments delivered across 120+ countries for global enterprises. The Role We re looking for a Technical Manager who thrives at the intersection of technical depth, architectural ownership, and people leadership. You will lead high-performing engineering teams, guide complex architectural decisions, and partner with product leadership to deliver enterprise-grade, AI-driven products. What You ll Do Lead & Mentor: Guide frontend, backend, and QA engineers to deliver high-impact features. Architectural Evolution: Ensure performance, scalability, security, and resilience across platforms. Product Strategy: Partner with Product and Design to translate business needs into technical roadmaps. Engineering Excellence: Set standards for code quality, testing, CI/CD, and observability. Talent Development: Conduct 1:1s, provide feedback, and coach engineers through career progression. Requirements Experience: 8+ years in software development with 2+ years in engineering leadership. Tech Stack: Strong full-stack background in JavaScript/TypeScript, React, Node.js, Java, or Python. Cloud & API: Hands-on experience with AWS, Azure, or GCP and REST/GraphQL APIs. Architecture: Deep understanding of microservices, system design, and distributed systems. Databases: Proficiency in SQL and NoSQL environments. Bonus Points Experience building and scaling SaaS products. Practical understanding of AI/ML concepts and applications. Experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Our Culture: The 5Cs We are driven by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We ship quality, trust each other, and communicate openly. What You Get Competitive compensation and best-in-class hardware/software. Work-Life Balance: 5-day work week with flexibility. Perks: Fully stocked pantry, gourmet coffee, monthly team lunches, and annual offsites. Growth: Accelerated career growth in a fast-scaling product organization.

Engineering Manager Location: Bengaluru Hiring is still shaped by outdated processes manual screening, unconscious bias, and delayed feedback. Talview is transforming this 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 for intelligent global exam monitoring. Ivy: A conversational AI Interviewer delivering unbiased first-round assessments. Impact: 10M+ assessments delivered across 120+ countries. The Role We re looking for an Engineering Manager to lead high-performing teams, drive architectural excellence, and deliver scalable products globally. You ll guide engineers across backend, frontend, QA, and DevOps, while partnering closely with Product and Design to drive meaningful outcomes. What You ll Do Leadership: Lead, mentor, and grow cross-functional engineering teams. Architecture: Own architecture and system design for cloud-native, distributed systems. Excellence: Champion code reviews, testing, automation, and security practices. Operations: Strengthen engineering processes including CI/CD, observability, and monitoring. Delivery: Own delivery outcomes, sprint planning, and team performance. People: Conduct 1:1s, performance reviews, and career development planning. You Might Be a Fit If You Have Required Qualifications: 6+ years of overall engineering experience; 5+ years in backend (Node.js, Go, or Python). 2+ years with Docker, Kubernetes, and public cloud platforms (AWS, GCP, or Azure). 2+ years in Agile delivery environments (Scrum, Squads, or Chapters). 1+ year experience managing a team of 4+ engineers. Deep understanding of cloud monitoring, deployments, and cost optimization. Bonus Points For: Building SaaS or high-scale distributed systems. Experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Strong system design and architectural fundamentals. Our Culture: The 5Cs We are guided by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We work together, ship quality, and communicate openly. What You Get Competitive compensation and best-in-class hardware. 5-day work week with flexibility. Monthly team lunches and annual offsites. Accelerated growth in a fast-scaling product organization.

Business Finance Location: Bengaluru Department: Finance Employment Type: Full-Time About Dozee Dozee Health AI is a pioneer in AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS). Headquartered in Bengaluru, Dozee is India s #1 RPM company, transforming healthcare delivery at scale. Trusted by leading healthcare providers across India, the USA, and Africa, Dozee s solutions continuously monitor patients, detect early signs of clinical deterioration, and enable timely interventions. Role Overview We are looking for a high-impact Business Finance professional to partner closely with business leaders and drive financial discipline, strategic decision-making, and sustainable growth. This role offers a unique opportunity to work at the intersection of finance, strategy, and healthcare innovation in a fast-growing AI health-tech company. Key Responsibilities Business Partnership & Strategic Decision Support Partner with Sales, Operations, and cross-functional teams to drive commercial success and financial discipline. Lead pricing strategy, customer-level profitability analysis, and financial modelling for new products and services. Evaluate business cases for expansion, partnerships, and large strategic deals. Participate in strategic discussions, providing financial insights and risk assessment. FP&A, Budgeting & Reporting Lead the annual operating plan and rolling forecasts in collaboration with functional leaders. Track performance against budgets, prepare variance analysis, and identify risks. Own monthly and quarterly management reporting, including key financial and operational KPIs. Revenue & Cost Optimisation Monitor and improve gross margins, unit economics, and CAC/LTV metrics. Drive initiatives to optimize costs, improve working capital, and support EBITDA targets. Identify opportunities for automation and process improvements in tracking. Requirements Experience & Qualifications 2 4 years of relevant experience in Business Finance, FP&A, or Commercial Finance. CA (Qualified/Semi-qualified), MBA, or CFA preferred. Skills Strong analytical, financial modelling, and stakeholder management skills. Proficiency in Excel, Google Sheets, and BI tools. Experience with pricing and margin analysis in a SaaS or recurring revenue environment is a plus. Personal Attributes Business-oriented, proactive, and detail-focused. Comfortable working in a fast-paced, evolving environment. Why Join Dozee Be part of a mission-driven company transforming healthcare with AI. Opportunity to influence strategic decisions in a high-growth Series A+ organization. Collaborative culture with a strong focus on innovation and impact. Qualification : CA (Qualified/Semi-qualified), MBA, or CFA preferred

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Job Title: Product Manager - Midas Location: Bangalore Department: Product Management Employment Type: Full-Time About FalconX At FalconX, we are a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the cryptocurrency markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges. Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, liquidity, and infrastructure found in conventional financial markets. As a comprehensive solution for digital asset strategies, FalconX enables seamless navigation through the evolving cryptocurrency landscape. The Role We are seeking a Technical Product Manager to focus on the technical and tactical aspects of our electronic trading platform, **Midas**. In this role, you will work closely with internal teams to build and maintain scalable, robust, and high-performance solutions for institutional customers. You will be responsible for managing the infrastructure, app layer, liquidity layer, and client-facing initiatives, ensuring the platform is optimized for reliability, speed, and scale. Key Responsibilities 1. Infrastructure Layer Management: Drive quarterly investments in **latency and reliability improvements** to enhance the core infrastructure of the platform. Ensure improvements in latency lead to measurable throughput gains, reduced slippage, and higher fill rates. Oversee technical enhancements and upgrades to maintain and scale the platform's infrastructure. 2. Application Layer Enhancements: Develop and enhance new order types and algorithms (e.g., Stop Loss, Partial Fills, Icebergs) to meet evolving market needs. Manage tech debt cleanup, including consolidating and updating configurations. Oversee **FIX infrastructure updates** to support new order types, scalability, and more dynamic spreading logic. Improve **API performance**, focusing on reducing outdated and slow API calls to match current scale. 3. Liquidity Layer: Transition away from primitive hedging models by increasing the sophistication of liquidity management. Develop APIs for liquidity providers (LPs) to enhance platform functionality and liquidity management. Build tools to track and report liquidity status and identify potential gaps in liquidity. 4. Client-Facing Initiatives: Collaborate with cross-functional teams to translate client needs into technical features and product requirements as the platform expands into new markets. Work closely with Sales and Revenue teams to ensure alignment of product development with client demands and technical capabilities. Support client onboarding and provide technical insights into the trading system to ensure a seamless user experience. 5. Day-to-Day Operations: Oversee proactive issue identification and resolution during Asia hours, ensuring system uptime and reliability. Track and report trading data and success metrics for product releases, ensuring timely and accurate performance metrics. Support revenue teams in technical conversations and assist in explaining technical challenges and solutions to clients and stakeholders. 6. Product Lifecycle Management: Own the product lifecycle from concept to execution, driving the Objectives and Key Results (OKRs) for Midas and other product initiatives. Write detailed Product Requirements Documents (PRDs) for technical improvements at the infrastructure and application layers. Create testing frameworks and test cases for product releases, ensuring high-quality standards are maintained. 7. Cross-Functional Collaboration: Collaborate with Engineering, Partnerships, Operations, and Compliance teams to capture all technical requirements for successful product launches. Ensure product features are delivered on time and meet the needs of internal stakeholders and customers. Qualifications Experience: 4-7 years of proven experience in technical product management with a focus on API development and management. Minimum 2 years of experience in brokerage, market-making, or institutional trading. Experience working with foreign exchange products or payment solutions is a must. Prior experience in digital assets or cryptocurrency markets is a bonus. Skills: Strong technical background with experience in managing complex trading systems and market infrastructure. Proficient in **API design and development**, with hands-on experience working with low-latency, high-performance systems. Ability to define and prioritize product requirements in collaboration with cross-functional teams. Excellent problem-solving skills, with the ability to navigate technical challenges in a fast-paced, evolving market. Strong knowledge of market-making and liquidity management in institutional environments. Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders. Education: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Innovative Environment: Work at the intersection of traditional finance and cutting-edge blockchain technology in a fast-paced, high-growth environment. Market Leadership: Play a crucial role in shaping the future of digital asset trading for institutional clients, helping to address key industry challenges. Collaborative Culture: Join a team of highly talented operators, engineers, and product managers working towards a unified mission of revolutionizing the crypto market. Career Growth: Gain exposure to a rapidly expanding industry and access to opportunities for learning and development. If you're passionate about digital assets, excited by technical challenges, and ready to have a direct impact on the future of institutional trading, we want to hear from you! Join us at FalconX to shape the future of the crypto market. Qualification : Bachelors or Ma...

Strategic Initiatives Manager Founder s Office Location: Bangalore Experience: 2+ years Work Type: Full-Time About Scimplify Scimplify is a specialty chemicals manufacturing company providing end-to-end solutions from R&D and custom synthesis to large-scale manufacturing and doorstep delivery. Headquartered in Bengaluru, we serve industries including pharmaceuticals, agrochemicals, industrial chemicals, personal care, and fragrances. We enable 500+ businesses across 20+ countries to scale innovative chemicals from lab to commercial production. Backed by $54M from top-tier investors like Accel and Bertelsmann, we have a global team of 250+ professionals operating across India, Japan, USA, UAE, and Indonesia. Role Overview We are seeking a high-caliber Strategic Initiatives Manager to join the Founder s Office. This is a high-impact, cross-functional role offering direct exposure to strategic decision-making, business operations, and growth initiatives. You will work closely with the founders to solve complex problems and drive critical projects across the organization. Key Responsibilities Partner with founders on high-priority strategic and operational initiatives. Conduct research, market analysis, and data-driven insights to inform business decisions. Build internal processes and frameworks to address key organizational challenges. Collaborate with teams across product, operations, finance, and growth to execute special projects. Prepare reports, dashboards, and presentations for internal and external stakeholders. Requirements 2 6 years of experience in management consulting or related strategic roles. B.Tech/B.E from a Tier 1 college; a Master s degree is not required. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. High ownership, agility, and comfort with ambiguity. Willingness to hustle and go beyond defined responsibilities. Qualification : B.Tech/B.E from a Tier 1 college a Masters degree is not required

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

Job Title: Product Manager Experience: 3+ Years Location: Bangalore Company: Kaleidofin About Kaleidofin Kaleidofin is a mission-driven fintech platform working to deliver finance for everyone, everywhere. We serve low-income and informal economy segments with ki credit a comprehensive solution that combines credit scoring (ki score), seamless infrastructure integration, risk dashboards (ki view), and structured capital products. With a presence in India, Bangladesh, and Kenya, our solutions are trusted by inclusive financial institutions and have impacted 6+ million customers, enabling over $3 billion in debt capital to underserved communities. Backed by marquee investors like the Gates Foundation, Omidyar Network, and Rabo Partnerships, Kaleidofin has been featured on the Forbes Asia 100 to Watch and is a multi-year Great Place to Work awardee. Role Overview: Product Manager We are looking for a Product Manager to join our high-impact product team. In this role, you ll own the end-to-end lifecycle of key fintech products from concept to launch and beyond. You ll work closely with engineering, business, and design teams to drive product vision, strategy, and delivery. You ll be responsible for building scalable solutions that serve real customer needs, improve operational efficiency, and drive meaningful outcomes for financial inclusion. Key Responsibilities Own and manage the entire product lifecycle ideation, development, launch, iteration. Translate business strategy into a clear product roadmap and maintain a well-groomed backlog. Deliver impactful features and enhancements across new and existing products. Define and track product OKRs; analyze performance to guide data-driven decisions. Partner with cross-functional teams engineering, data, business, and operations to align on goals and execution. Conduct competitor analysis, market research, and user feedback sessions to inform product direction. Ensure security and compliance responsibilities are understood and adhered to for all product initiatives. Advocate for the user, championing high-quality experiences across every interaction. 3+ years of experience in product management, ideally in B2B SaaS or fintech. Strong background in building and scaling B2B products; experience in the financial services space is a big plus. Demonstrated ability to contribute to product vision, create roadmaps, and align cross-functional teams. Solid understanding of agile methodologies and product development cycles. Excellent written and verbal communication skills comfortable presenting to leadership and stakeholders. Highly self-motivated with a strong work ethic; thrives in a fast-paced, high-ownership environment. Bachelor's degree or equivalent professional experience. Build meaningful products that directly impact millions across emerging markets. Join a fast-growing, globally recognized fintech platform backed by top-tier investors. Collaborate with a diverse and mission-driven team working on real-world financial problems. Be part of a culture that values innovation, ownership, and continuous learning. Apply now and be part of Kaleidofin s journey to drive financial impact at scale. Qualification : Bachelor's degree or equivalent professional experience

Position: Data Analyst 3 Location: Bengaluru Department: Growth & Strategy Employment Type: Full-Time Job Description: We are seeking an experienced Data Analyst to develop and maintain interactive dashboards, design data models, and extract actionable insights to support strategic business decisions. This role requires proficiency in Tableau and/or Qlik Sense and the ability to lead a team of analysts. Key Responsibilities: Develop, maintain, and enhance interactive dashboards and reports using Tableau and/or Qlik Sense. Design and implement efficient data models to underpin visualizations and analytical processes. Analyze data from multiple sources to identify trends, patterns, and actionable insights. Write scripts and utilize calculated fields to transform and manipulate data within visualization platforms. Migrate dashboards between platforms (e.g., Qlik Sense to Tableau) as needed. Adhere to best practices in data visualization, dashboard design, and data modeling. Communicate findings effectively to stakeholders and collaborate with cross-functional teams such as sales, marketing, and engineering. Mentor and lead a team of data analysts, fostering growth and knowledge sharing. Required Skills and Experience: Minimum 4 years of relevant experience in data analysis and visualization. Proficiency in Tableau and/or Qlik Sense, including scripting and calculated fields. Strong data modeling skills and experience with relational databases (e.g., SQL Server, Oracle). Excellent analytical and problem-solving abilities. Outstanding communication and presentation skills. Industry experience in Fintech, Payments, Finance, Banking, Digital Commerce, Healthcare, or related sectors is a plus. Who You Are: A problem-solver with a knack for uncovering insights from complex data sets. An excellent communicator, able to explain data-driven insights clearly and effectively. Hands-on and proactive, committed to staying updated with the latest tools and technologies. A respected team player and leader known for your analytical depth and influence.

Job Title: Lead Analyst Market Research Location: Bangalore Employment Type: Full-Time Job Overview We are seeking a strategic and intellectually driven Lead Analyst to join our Sector Research team. In this role, you will lead deep-dive research into emerging global technology sectors, define scalable research frameworks, and produce high-impact insights. This position is ideal for professionals passionate about startups, emerging technologies, and becoming thought leaders in their sectors. Key Responsibilities Conduct in-depth research and develop deep domain expertise in assigned technology sectors such as SaaS, FinTech, HealthTech, Enterprise Applications, or ClimateTech. Design and implement structured research frameworks and data definitions for complex, evolving business models. Track and evaluate high-potential startups, technologies, and emerging global trends. Produce detailed sector landscapes, strategic reports, and research notes with actionable insights. Contribute to the development of scoring models and tagging frameworks to scale intelligence across platforms. Review and mentor the work of junior analysts to maintain quality, consistency, and research depth. Act as a sector-level thought partner and contribute to shaping the company s broader research direction. Graduates from top-tier institutions (IITs, NITs, BITS, IIMs) preferred. 4 8 years of experience in market research, consulting, venture capital/private equity, analytics, or strategy roles. Strong exposure to startups, emerging technologies, and sector-specific developments. Experience in secondary research, framework development, and report writing. Exceptional analytical, written, and verbal communication skills. Proven ability to work independently, define structure in ambiguity, and mentor cross-functional teams in a fast-paced environment. What You Can Expect at Tracxn Meritocracy-driven, candid, and transparent culture no internal politics. Work with intellectually curious and driven colleagues. Opportunity to design and implement research processes for accuracy, scalability, and impact. Continuous learning and mentorship in a high-growth environment. Clear, performance-based career progression with leadership visibility. Qualification : Graduates from top-tier institutions (IITs, NITs, BITS, IIMs) preferred

Position: Project Head Location: Bengaluru Experience: 10+ Years Education: Bachelor s/Master s in Civil Engineering, Architecture, Construction Management, or a related field Role Overview: We are seeking an accomplished and visionary Project Head to lead the planning, execution, and delivery of large-scale commercial and residential construction projects. The ideal candidate will bring extensive leadership experience, a strategic mindset, and a strong technical foundation to oversee end-to-end project lifecycle management both in India and the United States. Key Responsibilities: Strategic Leadership & Planning Provide overall direction and leadership across multiple projects from initial planning to final delivery Align project execution strategies with organizational goals and long-term business objectives Lead feasibility studies, budgeting, scheduling, and resource planning Project Execution & Oversight Oversee multiple residential and commercial construction projects simultaneously Ensure adherence to project timelines, quality benchmarks, and cost controls Introduce scalable frameworks, best practices, and process optimizations to improve project performance Team & Stakeholder Coordination Collaborate with cross-functional teams, including architects, consultants, contractors, and vendors Manage stakeholder expectations, presenting progress reports, key milestones, and potential risks clearly and proactively Quality, Safety & Compliance Conduct site inspections and audits to monitor construction progress and identify issues early Ensure full compliance with building codes, safety regulations, environmental standards, and quality assurance protocols International Coordination Travel to the United States for on-site project reviews, vendor meetings, and strategic oversight Ensure seamless coordination between domestic and international stakeholders Candidate Requirements: Bachelor's or Master's degree in Civil Engineering, Architecture, Construction Management, or related discipline Minimum 10 years of progressive experience in construction project management or real estate development Proven track record of managing large-scale commercial/residential projects across geographies Deep understanding of construction regulations, risk management, budgeting, and contract negotiation Strong leadership and team management capabilities Excellent analytical, communication, and stakeholder management skills Proficiency in project management tools such as MS Project, Primavera, or similar Willingness to travel frequently, including to the U.S. Possession of a valid B1/B2 U.S. visa is a significant advantage Qualification : Bachelors/Masters in Civil Engineering, Architecture, Construction Management, or a related field

Position: Product Manager Location: Bengaluru Department: Technology About the Role: As a Product Manager at Draup, you will play a critical role in driving the success of our platform from ideation and development to launch and continuous improvement. This role requires a unique blend of strategic thinking, technical understanding, and strong communication skills to align cross-functional teams and deliver value to our users. You will be responsible for building a customer-centric roadmap (6 18 months), defining clear product requirements, and ensuring successful execution of new features and enhancements. What You Will Do: Define and execute a product strategy that aligns with Draup s business goals and evolving market trends. Conduct thorough market and user research to uncover customer needs, industry movements, and competitive insights to inform product decisions. Collaborate with cross-functional teams (Engineering, Product Marketing, Customer Success) to turn user problems into well-defined product priorities and detailed specifications. Work closely with engineering teams to ensure timely and high-quality delivery of product features, managing sprints and development cycles. Champion a user-first approach, advocating for intuitive, high-quality design and superior user experiences. Lead testing and quality assurance processes to maintain product reliability and performance standards. Drive product launches, including the creation of marketing and sales enablement materials. Prioritize feature backlogs to maximize business and user value, while actively collecting and acting on feedback to iterate and improve. Who You Are: 2+ years of experience in a product management or related role. Bachelor s degree in Business, Engineering, Computer Science, or a related field; MBA or advanced degree is a plus. Proven success in launching new web products or significantly improving existing ones, with measurable impact on key metrics. Solid grasp of Agile product management practices, including user story writing, sprint planning, and roadmap development. Excellent collaboration skills; experience working in cross-functional teams. Strong customer focus putting user needs at the heart of every decision. Data-driven decision-maker with the ability to use analytics to inform product direction. Strong written and verbal communication skills. Bonus: Working knowledge of technologies like Python or React. What We Expect: Highly self-motivated and proactive; capable of working independently with minimal direction. Ownership mindset take full responsibility for feature development from concept to delivery. Able to thrive in a fast-paced, deadline-driven environment. Strong organizational skills able to prioritize effectively, manage multiple tasks, and meet tight deadlines. Comfortable leading discussions, building consensus, and driving outcomes across design, engineering, and leadership teams. Qualification : Bachelors degree in Business, Engineering, Computer Science, or a related field; MBA or advanced degree is a plus

Job Title: Associate Architect AI Location: Bangalore, India Employment Type: Full-Time, Regular Overview At Aptean, we design industry-specific ERP and business software that helps our customers transform operations and gain a competitive edge. With over 90 products, 4,500+ employees, and a global presence, we deliver solutions that are anything but generic. Now, we re building on that legacy by integrating cutting-edge AI into everything we do and we want you to be part of it. We are looking for an Associate Architect AI to play a key role in shaping Aptean s AI-first future. This is a hands-on, high-impact role focused on the design, development, and deployment of AI-powered solutions including smart chatbots, Retrieval-Augmented Generation (RAG) pipelines, predictive analytics, and autonomous AI agents. If you're passionate about solving real-world problems using the latest in LLMs, AI orchestration, and data automation we want to talk. Key Responsibilities Design and implement AI-led automation solutions, leveraging technologies like agentic AI and LLMs. Develop and refine structured prompts to improve AI model responses and contextual accuracy. Integrate Azure OpenAI and Microsoft Fabric AI Skills to enhance conversational AI in Fabric Lakehouse environments. Build and optimize RAG pipelines and semantic models for improved AI-driven content ingestion and understanding. Design prompts for AI agents, chatbots, and virtual assistants that automate business workflows. Research and implement best practices to minimize hallucinations, biases, and inconsistencies in AI-generated outputs. Collaborate on curating, cleaning, and preparing training datasets for machine learning models. Use Python and tools like LangChain to prototype and deploy AI-enabled solutions across multiple platforms. Monitor AI system performance, scalability, and business alignment; continuously iterate based on data and user feedback. Stay up to date with advancements in NLP, large language models (LLMs), and generative AI technologies. Qualifications Education: Bachelor s degree in Computer Science or related field (required) Master s degree (preferred) Experience: 8 12 years of experience in AI, machine learning, or data science roles Strong track record of delivering AI-driven solutions from concept to deployment Technical Skills and Competencies Hands-on experience with LLMs (e.g., GPT, Claude, Gemini, LLaMA) and AI APIs. Proficient in Python and ML frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Experience with Microsoft Fabric, Fabric AI Skills, and Lakehouse/Medallion architecture. Familiarity with OpenAI API, LangChain, Azure, JSON, Java, JavaScript. Strong foundation in NLP concepts, prompt engineering, and model behavior analysis. Experience developing and deploying chatbots across platforms like Microsoft Teams, SharePoint, and web portals. Understanding of statistical models (e.g., regression, clustering) and ML algorithms (e.g., decision trees, neural networks). Strong written and verbal communication skills; able to interpret and explain AI behavior clearly. Innovative thinker with a startup mindset. Comfortable in a fast-paced, collaborative environment. Passionate about AI and its transformative potential. Focused on real outcomes and user-centric design. At Aptean, we believe in growth through innovation, and AI is at the core of that vision. You'll work on high-impact projects that stretch your capabilities, in a company that values curiosity, collaboration, and continuous learning. If you're excited to lead in the age of AI, this is your moment. Diversity & Inclusion at Aptean Aptean is committed to building a workplace where everyone belongs. We value diversity in all its forms and believe our differences make us stronger. We strive to create an inclusive environment where everyone has the opportunity to grow, succeed, and contribute their best work. Qualification : Bachelors degree in Computer Science or related field (required)

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Job Title: Business Analyst | 3-5 Years Experience | Product Management, Strategy Consulting | Bangalore, India Location: Bangalore, Karnataka, India About Goavega: Goavega is seeking a skilled Business Analyst/Product Manager with 2 to 3 years of hands-on experience in the Energy, Media, or Sports industry domains and a total of 4 to 7 years of professional experience. This role plays a key part in driving strategic consulting, business analytics, and product design execution to deliver innovative solutions that create real business value. Key Responsibilities: Strategic Planning and Vision: Define product vision, strategy, and roadmap aligned with business goals Conduct thorough market research and competitive analysis to identify growth opportunities and potential risks Collaboration and Execution: Partner with cross-functional teams including design, development, and client stakeholders to deliver impactful products Gather, document, and translate business requirements into clear technical specifications Work closely with development teams to ensure solutions meet business objectives and are delivered on time Performance Analysis and Improvement: Monitor and analyze product performance metrics to suggest improvements and enhancements Lead user acceptance testing (UAT) and ensure products meet business and customer needs Advisory and Decision Support: Prepare and present data-driven business cases to senior leaders and clients to support strategic decisions Assist in identifying new growth opportunities and defining strategic imperatives Thought Leadership and Expertise: Conduct quantitative and qualitative market and competitive research to inform product strategy Stay updated with industry trends and contribute to thought leadership and innovation initiatives Qualifications: Bachelor s degree in Engineering, Design, Computer Science, or a related field MBA or master s degree in design or product management is preferred 2+ years of experience in product management, business analysis, strategy consulting, or business analytics Strong analytical, problem-solving, and communication skills Ability to thrive in a fast-paced, dynamic work environment Preferred Skills: Knowledge of Automotive, Energy, CPG/FMCG, Mobility hubs, Media, and Sports industry landscapes Expertise in building strategies using data analytics and research methodologies Excellent ability to simplify and present complex information for diverse audiences Proactive learner with hypothesis-led problem-solving skills Familiarity with UX/UI design principles and statistical analysis methods Experience in business case development, requirement gathering, product roadmaps, and use case creation Programming knowledge in Python is a plus Open Positions: 1 Be part of a forward-thinking company driving innovation across multiple industry verticals Collaborate with cross-functional teams to create impactful, data-driven products Opportunity to grow professionally and make strategic contributions Qualification : Bachelors degree in Engineering, Design, Computer Science, or a related field

Role: Senior Analyst Data Engineering Location: Bengaluru, Karnataka, India Experience: 3 6 Years Employment Type: Permanent, Full-Time About the Role We are looking for a results-driven Senior Data Engineer to join our high-performing data team in Bengaluru. The ideal candidate will have 3 6 years of experience in data engineering, AI/ML implementation, and working with large-scale databases like Snowflake and Teradata. If you're passionate about driving data-powered insights, building scalable solutions, and applying advanced machine learning and AI techniques, we want to hear from you. Key Responsibilities Design, develop, and implement machine learning models to solve complex business challenges. Apply AI techniques, including generative AI, NLP, and computer vision, to improve analytics capabilities. Use Tableau, Power BI, and other tools to develop insightful, interactive data dashboards. Manage and optimize large datasets using platforms like Snowflake, Teradata, and SQL/NoSQL databases. Collaborate with business and technical teams to translate requirements into robust data engineering solutions. Guide junior data professionals and foster a culture of learning and innovation. Communicate analytical findings clearly to non-technical stakeholders. Stay current with the latest in data science, machine learning, cloud platforms, and big data technologies. Key Skills & Technologies Machine Learning & AI Techniques: Supervised & unsupervised learning, deep learning, neural networks Reinforcement learning, decision trees, random forests, clustering NLP, computer vision, GANs, transfer learning Data Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly Programming Languages & Libraries: Python (essential), R, SQL TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy Databases & Data Management: Snowflake, Teradata, SQL/NoSQL, ETL, data lakes, data warehousing Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP) Big Data Technologies: Apache Spark, Hadoop

Job Title: Supplier Governance Specialist Location: Bengaluru, India Company: IBM Finance Organization Introduction This role requires a detail-oriented individual with strong organizational skills, capable of handling sensitive information with discretion and professionalism. The incumbent must also be adaptable, given the dynamic nature of supplier relationships and risk management scenarios. Your Role and Responsibilities The Supplier Governance Specialist will play a crucial role within the Client Supplier Governance team. This role involves supporting various stages of supplier governance, from initial risk assessments through to ongoing due diligence and reporting. The incumbent will be responsible for facilitating initial supplier risk screenings, conducting initial and ongoing due diligence, providing reporting support, and ensuring adherence to business rules and requirements. Key Responsibilities: Supplier Risk Assessment Support: Assist business/contract owners in completing the assessment questionnaire. Guide them through navigating secondary risk teams. Report the outcomes of the questionnaires. Repeat assistance as necessary until satisfactory completion. Due Diligence Questionnaire Support: Distribute the due diligence questionnaire to relevant parties. Validate that responses align with Telstra's business rules and requirements. Trigger appropriate actions based on Procurement and Specialist Risk Teams' inputs. Identify required follow-up actions, track their progress, and report status. Ongoing Supplier Due Diligence: Monitor contract and supplier risk alerts, triaging and escalating as per business rules. Maintain currency of questionnaire responses and supplier information. Track activities needed for remediation of identified gaps in questionnaires. Provide support in updating and maintaining the Risk Framework. Offer reporting support for risk-related activities. Required Education Associate s Degree/College Diploma in a relevant field (e.g., Supply Chain Management, Business Administration, or related field). Required Technical and Professional Expertise Relevant experience in supplier governance, risk management, or procurement. Strong understanding of procurement processes and risk management principles. Excellent communication skills to guide non-expert users through processes. Strong analytical skills to interpret data and make informed decisions. Proficient in using digital tools and systems for questionnaire distribution, tracking, and reporting. Ability to work independently and as part of a team, managing multiple tasks simultaneously. Preferred Technical and Professional Experience NA (Not Applicable) About IBM Finance Organization The IBM Finance Organization is responsible for driving enterprise performance and transformation. As the financial stewards of IBM, we deliver IBM s financial strategy, develop new business models, and mitigate enterprise risk. If you have a passion for creating business value, join our team in areas such as accounting, financial planning, pricing, business controls, tax, treasury, business development (acquisitions & divestitures), and global financing. Qualification : Associates Degree/College Diploma in a relevant field (e.g., Supply Chain Management, Business Administration, or related field).

Chief Analytics Office (CAO) - Data Scientist Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 2-4 years Company: IBM Chief Analytics Office (CAO) Introduction: At IBM, we believe in the power of AI and data science to transform enterprises. In the Chief Analytics Office (CAO), we work on the front lines of AI-driven enterprise transformations. By joining our team, you will collaborate with innovative leaders and contribute to solving complex problems using the latest AI and machine learning technologies. Here, your skills will not only be valued but nurtured in a dynamic, collaborative environment designed for growth and impact. Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will play a critical role in driving AI and data science initiatives across the enterprise. You will use your technical expertise to develop and deploy machine learning models and data analytics solutions that align with business objectives. This role is focused on translating data insights into actionable recommendations and leading data science projects from concept to execution. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Assist in the implementation and optimization of AI-driven strategies aligned with business stakeholder requirements. Refine data-driven methodologies for enterprise transformation projects. Data Science and AI: Design, implement, and optimize machine learning solutions and statistical models. Perform end-to-end data analysis, from problem formulation through to deployment. Ensure the scalability of AI solutions by leveraging cloud platforms. Apply IBM s data science standards and reusable assets to ensure quality and consistency. Project Support: Lead and contribute across various stages of AI and data science projects, from data exploration to model development and deployment. Monitor project timelines and assist in resolving any technical challenges. Design and implement measurement frameworks to assess the business impact of AI solutions using KPIs. Collaboration: Work closely with stakeholders to ensure alignment with strategic goals. Collaborate with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Provide technical expertise to cross-functional teams, fostering a collaborative environment. Required Education and Experience: Education: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. An advanced degree is strongly preferred. Experience: 2-4 years of experience in data science, AI, or analytics, with a focus on implementing data-driven solutions. Experience with data cleaning, data analysis, A/B testing, and data visualization. Hands-on experience with AI technologies through coursework or projects. Required Technical Skills: Programming and Data Analysis: Proficiency in SQL and Python for data analysis and developing machine learning models. Familiarity with machine learning algorithms such as linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch). Cloud Platforms & Data Processing: Experience with cloud-based platforms (e.g., AWS, Azure, IBM Cloud) and data processing frameworks. Specialized Knowledge: Knowledge of large language models (LLMs) and familiarity with IBM s WatsonX product suite. Familiarity with object-oriented programming (OOP) principles. Analytical and Soft Skills: Problem-Solving: Strong analytical skills with the ability to solve complex problems and derive actionable insights from datasets. Communication: Excellent communication skills to explain technical concepts clearly to stakeholders at various levels. Project Management: Ability to handle multiple initiatives simultaneously, prioritize effectively, and meet deadlines in a fast-paced environment. Preferred Experience: Advanced Degree: A Master s degree in a related field is strongly preferred. Impact: Work on innovative projects that directly impact enterprise transformation using the latest AI and data science techniques. Collaboration: Be part of a collaborative environment with a global team of AI experts. Growth: Develop professionally with continuous learning opportunities in the ever-evolving AI field. Work-Life Balance: IBM offers a dynamic work environment with flexibility and career growth opportunities. Apply now and join IBM's Chief Analytics Office as a Data Scientist and be part of the next generation of data-driven innovations. Qualification : A Masters degree in a related field is strongly preferred.

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 Title: Data Scientist Location: Bengaluru Experience: 4+ Years About Linarc: Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered. Built for general contractors, construction managers, and trade partners, Linarc offers a next-generation platform that delivers unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability, empowering teams to deliver projects faster, smarter, and with greater control. Join us in shaping the future of construction tech. If you thrive in a dynamic, fast-growing environment and want to make a significant impact, Linarc is the place for you. This is a full-time position based in Bengaluru. Roles and Responsibilities: Data Analysis & Modeling: Develop and implement machine learning models to address complex business problems. Build predictive models and algorithms to forecast customer behavior, product usage, and business outcomes. Conduct statistical analysis and hypothesis testing to uncover key insights and trends. Data Engineering & Processing: Clean, preprocess, and transform large-scale datasets from multiple sources. Design and optimize data pipelines for both real-time and batch processing. Business Insights & Reporting: Collaborate with business teams to define key performance indicators (KPIs). Develop dashboards and reports to effectively communicate findings and business performance. Present actionable insights and recommendations to stakeholders and leadership teams. Product Improvement: Partner with product managers to integrate data-driven insights into product features. Monitor model performance and continuously improve accuracy and scalability. Run A/B tests to evaluate the impact of product changes and optimize user experience. Research & Development: Stay updated with the latest developments in machine learning, artificial intelligence, and data science. Explore and implement new techniques and tools to drive innovative solutions and improve outcomes. Qualifications: Minimum Experience: 3 years of professional experience in Data Analytics, Data Science, AI, or Machine Learning. Technical Expertise: Deep analytical expertise in applying statistical solutions to business problems. Experience with exploratory data analysis of large datasets using tools like SQL, Hive, Spark, or similar. Proficiency in machine learning and deep learning tools such as Scikit-learn, TensorFlow, PyTorch, and familiarity with techniques like Neural Networks, Gradient Boosting, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering, etc. Experience working with visualization tools such as Tableau and Power BI. Business & Innovation: Demonstrated ability to innovate solutions and solve business problems using data science techniques. Desirable Additional Experience: 4+ years of experience in data science or machine learning in a product-focused environment. Experience working with relational or document databases. Proficiency in C, Python, PyTorch, Java, JavaScript, Node.js, React.js, or Vue.js. Strong knowledge of hypothesis testing and regression analysis. Experience in a SaaS product environment. Educational Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.