14 Jobs in Davangere Taluka

About The Opportunity We’re a deep-tech innovator at the intersection of Artificial Intelligence, machine-learning infrastructure, and edge-to-cloud platforms . Our award-winning solutions let Fortune-500 enterprises build, train, and deploy large-scale AI models—seamlessly, securely, and at lightning speed. As global demand for generative AI, RAG pipelines, and autonomous agents accelerates, we’re scaling our MLOps team to keep our customers two steps ahead of the curve. Role & Responsibilities (max 6) Own the full MLOps stack—design, build, and harden GPU-accelerated Kubernetes clusters across on-prem DCs and AWS/GCP/Azure for model training, fine-tuning, and low-latency inference. Automate everything: craft IaC modules (Terraform/Pulumi) and CI/CD pipelines that deliver zero-downtime releases and reproducible experiment tracking. Ship production-grade LLM workloads—optimize RAG/agent pipelines, manage model registries, and implement self-healing workflow orchestration with Kubeflow/Flyte/Prefect. Eliminate bottlenecks: profile CUDA, resolve driver mismatches, and tune distributed frameworks (Ray, DeepSpeed) for multi-node scale-out. Champion reliability: architect HA data lakes, databases, ingress/egress, DNS, and end-to-end observability (Prometheus/Grafana) targeting 99.99 % uptime. Mentor & influence: instill platform-first mind-set, codify best practices, and report progress/road-blocks directly to senior leadership. Skills & Qualifications (max 6) Must-Have 5 + yrs DevOps/Platform experience with Docker & Kubernetes; expert bash/Python/Go scripting. Hands-on building ML infrastructure for distributed GPU training and scalable model serving. Deep fluency in cloud services (EKS/GKE/AKS), networking, load-balancing, RBAC, and Git-based CI/CD. Proven mastery of IaC & config-management (Terraform, Pulumi, Ansible). Preferred Production experience with LLM fine-tuning, RAG architectures, or agentic workflows at scale. Exposure to Kubeflow, Flyte, Prefect, or Ray; track record of setting up observability and data-lake pipelines (Delta Lake, Iceberg). Skills: cloud services,containerization,automation tools,version control,devops

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About the Company: We are a fast-growing B2B SaaS company, committed to delivering cutting-edge solutions that empower businesses globally. Our mission is to ensure customer success through exceptional products, proactive support, and continuous innovation. About the Role: We’re seeking a proactive, customer-centric Customer Success Manager to drive client satisfaction, retention, and growth. You’ll be the trusted advisor for our clients, maximizing their experience and ensuring long-term success with our platform. Key Responsibilities Manage and nurture client accounts, guiding them through onboarding, adoption, and renewals. Act as the primary customer liaison, ensuring their objectives are effectively met through our product. Monitor and analyze customer health metrics, addressing potential issues proactively to minimize churn. Conduct regular business reviews and strategic planning sessions with customers. Collaborate cross-functionally with Sales, Product, Engineering, and Support teams to resolve customer issues. Educate clients on product features, best practices, and new releases. Must-Have Skills & Qualifications: 2–5 years of experience in Customer Success, Account Management, or similar roles in SaaS or B2B technology sectors. Exceptional communication, presentation, and interpersonal skills. Proven problem-solving skills and a strong customer-focused mindset. Ability to analyze customer data to inform strategies and decisions. Familiarity with CRM and customer success tools (e.g., HubSpot, Intercom, Excel). Technical aptitude and comfort navigating SaaS and cloud technologies. Preferred Prior experience working in startups or fast-growth environments. Knowledge of key customer success metrics (e.g., NRR, CSAT, Customer Health Scores). Previous sales or relationship management experience. Basic understanding of APIs, integrations, and technical aspects of SaaS products. Skills: customer success metrics,crm,technical aptitude,prior sales,customer data analysis,integrations,saas products,account management,high-growth saas,business analysis,customer success,apis,relationship management,cloud technologies,startups,cs tools,organized,detail-oriented,organizational skills,presentation,communication,relationship building,relationship-building,crm tools,proactive,data analysis,problem-solving Show more Show less

About the Company: We are a fast-growing B2B SaaS company, committed to delivering cutting-edge solutions that empower businesses globally. Our mission is to ensure customer success through exceptional products, proactive support, and continuous innovation. About the Role: We’re seeking a proactive, customer-centric Customer Success Manager to drive client satisfaction, retention, and growth. You’ll be the trusted advisor for our clients, maximizing their experience and ensuring long-term success with our platform. Key Responsibilities Manage and nurture client accounts, guiding them through onboarding, adoption, and renewals. Act as the primary customer liaison, ensuring their objectives are effectively met through our product. Monitor and analyze customer health metrics, addressing potential issues proactively to minimize churn. Conduct regular business reviews and strategic planning sessions with customers. Collaborate cross-functionally with Sales, Product, Engineering, and Support teams to resolve customer issues. Educate clients on product features, best practices, and new releases. Must-Have Skills & Qualifications: 2–5 years of experience in Customer Success, Account Management, or similar roles in SaaS or B2B technology sectors. Exceptional communication, presentation, and interpersonal skills. Proven problem-solving skills and a strong customer-focused mindset. Ability to analyze customer data to inform strategies and decisions. Familiarity with CRM and customer success tools (e.g., HubSpot, Intercom, Excel). Technical aptitude and comfort navigating SaaS and cloud technologies. Preferred Prior experience working in startups or fast-growth environments. Knowledge of key customer success metrics (e.g., NRR, CSAT, Customer Health Scores). Previous sales or relationship management experience. Basic understanding of APIs, integrations, and technical aspects of SaaS products. Skills: customer success metrics,crm,technical aptitude,prior sales,customer data analysis,integrations,saas products,account management,high-growth saas,business analysis,customer success,apis,relationship management,cloud technologies,startups,cs tools,organized,detail-oriented,organizational skills,presentation,communication,relationship building,relationship-building,crm tools,proactive,data analysis,problem-solving 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

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