9 Jobs in Davangere Taluka

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI Show more Show less

About In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity. Key Responsibilities Perform advanced analytics like cohort, scenario, time series, and predictive analysis. Articulate assumptions, analyses, and interpretations of data in various modes. Design data models connecting data elements from different sources. Collaborate with BI engineers to develop scalable reporting and analytics solutions. Query data from warehouses using SQL. Validate and QA data to ensure consistent accuracy and quality. Troubleshoot data issues and conduct root cause analysis. Ideal Profile 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expert level skills in writing complex SQL queries for warehouses. Advanced skills in BI tools like Tableau, Domo, and Looker. Intermediate skills in Excel, Google Sheets, or Power BI. Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields. Willingness to work with team members in different time zones. Nice to Have Experience with globally recognized organizations. Hands-on experience with live projects in the SDLC. Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

About We are a growing team in the B2B SaaS industry, focused on driving product adoption and ensuring customer satisfaction. As a Customer Growth Consultant, you will play a critical role in reducing churn, increasing retention, and identifying upsell opportunities. Key Responsibilities Own and manage a portfolio of customer accounts, guiding them through onboarding, adoption, and renewal. Act as the primary point of contact for customers, ensuring their goals are met with our product. Monitor customer health metrics and proactively address issues to minimize churn. Conduct regular business reviews and success planning sessions. Collaborate cross-functionally with Sales, Product, Engineering, and Support teams to resolve customer challenges and advocate for customer needs. Educate customers on product features, best practices, and new releases. Identify and drive opportunities for account growth and expansion. Ideal Profile 2–5 years of experience in Customer Success, Account Management, Business analyst, or a related role in a SaaS or B2B tech environment. Excellent communication, presentation, and relationship-building skills. Strong problem-solving abilities and a customer-first mindset. Ability to analyze customer data to drive insights and actions. Experience with CRM and CS tools (e.g, HubSpot, Intercom, Excel, or others). Technical aptitude and comfort with SaaS products and cloud technologies. A proactive, organized, and detail-oriented approach. Nice to Have Experience working in a startup or high-growth SaaS company. Familiarity with customer success metrics (e.g., NRR, CSAT, Health Scores). Prior sales or relationship management experience. Basic knowledge of APIs or integrations, and technical understanding of the product. Skills: Customer Success,Account Management,Business Analysis,CRM,CS Tools,Technical Aptitude,SaaS Products,Cloud Technologies,Communication,Presentation,Relationship-building,Problem-solving,Customer Data Analysis,Proactive,Organized,Detail-oriented,Startups,High-growth SaaS,Customer Success Metrics,Prior Sales,Relationship Management,APIs,Integrations Show more Show less

About We are a growing team in the B2B SaaS industry, focused on driving product adoption and ensuring customer satisfaction. As a Customer Growth Consultant, you will play a critical role in reducing churn, increasing retention, and identifying upsell opportunities. Key Responsibilities Own and manage a portfolio of customer accounts, guiding them through onboarding, adoption, and renewal. Act as the primary point of contact for customers, ensuring their goals are met with our product. Monitor customer health metrics and proactively address issues to minimize churn. Conduct regular business reviews and success planning sessions. Collaborate cross-functionally with Sales, Product, Engineering, and Support teams to resolve customer challenges and advocate for customer needs. Educate customers on product features, best practices, and new releases. Identify and drive opportunities for account growth and expansion. Ideal Profile 2–5 years of experience in Customer Success, Account Management, Business analyst, or a related role in a SaaS or B2B tech environment. Excellent communication, presentation, and relationship-building skills. Strong problem-solving abilities and a customer-first mindset. Ability to analyze customer data to drive insights and actions. Experience with CRM and CS tools (e.g, HubSpot, Intercom, Excel, or others). Technical aptitude and comfort with SaaS products and cloud technologies. A proactive, organized, and detail-oriented approach. Nice to Have Experience working in a startup or high-growth SaaS company. Familiarity with customer success metrics (e.g., NRR, CSAT, Health Scores). Prior sales or relationship management experience. Basic knowledge of APIs or integrations, and technical understanding of the product. Skills: Customer Success,Account Management,Business Analysis,CRM,CS Tools,Technical Aptitude,SaaS Products,Cloud Technologies,Communication,Presentation,Relationship-building,Problem-solving,Customer Data Analysis,Proactive,Organized,Detail-oriented,Startups,High-growth SaaS,Customer Success Metrics,Prior Sales,Relationship Management,APIs,Integrations Show more Show less

About In the technology industry, we deliver reliable turnkey AI solutions that ensure high-quality results and client satisfaction. With expertise in analytics and AI, our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. Key Responsibilities Develop and implement quality engineering practices for financial technology solutions. Define and enforce testing standards, automation strategies, and best practices. Integrate testing tools and frameworks into the CI/CD pipeline. Design and maintain automated test environments and data solutions. Collaborate with teams to support best practices in test-driven development. Develop and maintain tools for performance, load, and stress testing. Ideal Profile Proficiency in Agile Methodology. Experience with scripting languages. Strong knowledge of test automation. Experience in test data management. Proficiency in CI/CD and cloud platforms. Experience with version control (Git). Nice to Have Knowledge of monitoring tools. Debugging skills. Strong communication and problem-solving abilities. Skills: Agile Methodology,Scripting Languages,Test Automation,Test Data Management,CI/CD,Cloud Platform,Version Control (Git),Monitoring Tools,Debug Tools,Multitasking,Problem Solving,Communication Show more Show less

About In the technology industry, we deliver reliable turnkey AI solutions that ensure high-quality results and client satisfaction. With expertise in analytics and AI, our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. Key Responsibilities Develop and implement quality engineering practices for financial technology solutions. Define and enforce testing standards, automation strategies, and best practices. Integrate testing tools and frameworks into the CI/CD pipeline. Design and maintain automated test environments and data solutions. Collaborate with teams to support best practices in test-driven development. Develop and maintain tools for performance, load, and stress testing. Ideal Profile Proficiency in Agile Methodology. Experience with scripting languages. Strong knowledge of test automation. Experience in test data management. Proficiency in CI/CD and cloud platforms. Experience with version control (Git). Nice to Have Knowledge of monitoring tools. Debugging skills. Strong communication and problem-solving abilities. Skills: Agile Methodology,Scripting Languages,Test Automation,Test Data Management,CI/CD,Cloud Platform,Version Control (Git),Monitoring Tools,Debug Tools,Multitasking,Problem Solving,Communication Show more Show less

Location Name: Davangere Job Purpose “This position is open with Bajaj Finance ltd.” Duties And Responsibilities Implementation of Credit Policy and continuous evaluation to ensure adherence to the Policy and compliance with the Authority Matrix at branches in the area assigned. Credit appraisal for BL & Doctor Loans files for the assigned location Keeping delinquency under control Compliance of policy and processes Reporting of location metrics like Login, Approval, Disbursal, Rejection, Deviation on monthly basis as per prescribed format Market Research and Feedback for new product launch. Feed back on credit policy based on market conditions. Required Qualifications And Experience Chartered Accountant /MBA Finance with 2-3 years of relevant experience. Has worked with reputed Bank/Financial Institution in unsecured high ticket size loans Positive attitude and team player Show more Show less