Job details Employment Type: Full-Time Location: Pune, Maharashtra, India Job Category: Information Systems Job Number: WD30236720 Job Description Senior SAP Data Lead & Architect We are seeking a highly experienced Senior SAP Data Lead & Architect to join our esteemed team in Pune. The ideal candidate will provide strategic leadership in data migration, integration, transformation, overall data management and support data architect of different value streams, ensuring high-quality data solutions aligned with business objectives. The Enterprise SAP Data Lead will work with business counterparts in delivering solutions based on best practices, business processes & SAP expertise. The Enterprise Data Lead will lead India based Data team which will constitute both functional Data Architects as well Data Technical (ETL) consultants. The SAP landscape under the scope of this position would cover multiple SAP instances in JCI globally. Role and Responsibilities: Oversee the entire data migration lifecycle, including planning, execution, validation, and post-migration support. Design and implement robust data architecture solutions to support SAP landscapes. Lead data extraction, transformation, and loading (ETL) processes, ensuring accuracy, efficiency, and performance. Define and implement data governance frameworks, standards, and best practices. Ensure seamless data migration while maintaining data integrity, consistency, and security. Lead a team of JCI internal Data functional & technical consultants and external resources in SAP areas – to deliver multiple SAP data migration projects, Continuous improvements, manage completed data cycle for SAP Rollouts across the Globe. Planning, Design, implementation/execution, delivery, and maintenance of JCI Enterprise SAP template Data solutions, according to business requirements and best practices. Review, Dispositioning, Prioritization and delivery of Data issues during mocks & post cutover. Provide consultation to multiple systems/application owners in JCI, business partners and peer groups regarding long and short-range Data architecture solutions to address business requirements and objectives. Develop solutions and business case alternatives. Actively participates in complex design and technical discussions related to Data Migrations, and decision-making processes. Collaborate and engage with counterparts across SAP pillars such as Tech Services, IT Operations, QA and Business Analytics to consistently deliver SAP application Data Migration projects with a high level of quality and functionality that meets the business user’s requirements. Work with the Enterprise ERP Application Architect team & support functionality assessments for Data solutions in scope of the overall SAP ERP platform. Technical Leadership & Functional Support: Work with SAP data transformation tools like SAP BODS, Python, SQL, SAP Data Intelligence for efficient data handling. Support functional teams across RTR (Record to Report), PTF (Plan to Fulfill), OTC (Order to Cash), PTP (Procure to Pay) to ensure data alignment with business processes. Develop data validation, cleansing, and enrichment strategies to optimize business decision-making. Provide expert guidance on data modeling, database optimization, and performance tuning. Collaborate with business stakeholders to gather data requirements and define data migration scope. Project & Stakeholder Management: Act as the primary liaison between business, IT, and technical teams for all data-related aspects. Work closely with cross-functional teams, including business analysts, project managers, and SAP consultants. Drive data-driven decision-making by providing insights on data analytics, BI/BW, and reporting solutions. Develop comprehensive data migration strategies, ensuring minimal disruption to business operations. Ensure compliance with data security, regulatory, and audit requirements. Continuous Improvement & Innovation: Stay updated on SAP S/4HANA data migration methodologies, SAP BTP data services, and cloud-based data solutions. Implement automation and best practices to streamline data migration and governance processes. Introduce AI/ML-based data quality improvements and predictive analytics solutions. Requirements: Bachelor’s/Master’s degree in Computer Science, Information Technology, or a related field. 12+ years of experience in SAP data migration, data architecture, and functional support. Strong hands-on experience with SAP BODS, LSMW, SAP S/4HANA Migration Cockpit, SAP MDG (Master Data Governance), and third-party ETL tools. Experience in SAP functional modules from Data Migration perspective preferred in streams such as RTR (Record to Report), PTF (Plan to Fulfill), OTC (Order to Cash), PTP (Procure to Pay) Proven ability to lead and execute complex data migration projects across multiple SAP implementations. Expertise in SQL, Python, and scripting languages for data transformation and automation. Strong knowledge of SAP data structures, data modeling, and integration with functional SAP modules. Experience in data governance, master data management (MDM), and data lineage tracking. Ability to develop business cases for data migration and transformation projects. Strong problem-solving and analytical skills, with the ability to tackle complex data issues effectively. Excellent communication and stakeholder management skills, capable of engaging with all levels of leadership

Key Responsibilities/Deliverables (Min 4 need to be filled in decreasing order of importance) 1. Study Project requirment,provide automaiton solution either in-house or Third party vendor, Collaborate with Design, Assembly Engineer & Manufacturing for detailed study of deliverables w.r.t. Quality, Cost & Delivery(QCD) Targets. Plan appropriate Automaiton solutions and Items selection to meet project KPI. generate Specification document for vendor ordering. 2. Develop automation solution including Software development and hardware Selection, if required take POC , trials reports, presentation Generate documentation for Third party vendor. Validation of project deliverables and per requirements, provide DAP approvals for project. 3. Responsible for smooth functioning of the running systems, look after the planned activities to avoid any future loss of production. Provide support to production and Quality for Process Robustness & compliance. 4. Execute Installation and commissioning of projects and validate the project KPI with trials.Tranining to other departments 5. After successful ramp-up, ensure smooth handover of the project along with applicable documents to Production and maintenance Team 6. Working with team and inclusive behavior Qualifications Functional Competencies Behavioural Competencies 1. Expert in PLC & LabView Programming & SQL database. 2. Good knowledge of Industrial Vision Systems 3. Hands on experience of Installation & Commissioning of projects 4. Knowledge of Python, AI,ML ,IOT,IIOT 5. Good Knowledge of Robots ,Sensor ,actuators applicaiton and selection 1. Excellent Interpersonal and teamworking skills 2. Excellent verbal and written communication skills 3. Good Problem solving approach 4. Shall be Enterprising in his/her way of working Primary Location : IN-Gujarat-Vadodara Other Locations : IN-Maharashtra-Mumbai Schedule : Full-time Unposting Date : Ongoing

Bangalore, Karnataka Factspan Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bangalore, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Job Description:  Engage with potential clients to understand their data science & analytics needs and challenges, acting as a trusted advisor  Craft innovative data science and AI solutions that address client’s needs  Design end-to-end AI/ML and advanced analytics architectures  Create compelling proposals and presentations that communicate our value proposition effectively  Present solutions to C-level executives and technical stakeholders, articulating business value and technical feasibility  Stay informed about emerging trends in AI/ML, deep learning, cloud computing, and modern data architectures to influence solution strategy  Partner with Product engineering, and delivery teams to ensure alignment between solutions and execution capabilities  Develop reusable frameworks, accelerators, best practices and participate in thought leadership activities Qualifications & Experience:  14+ years of experience in data science, AI/ML or enterprise analytics, with at least 5 years in solution architecture role  Proven expertise in designing and architecting AI/ML and data science solutions across modern cloud platforms (AWS, Azure, GCP) and big data ecosystems  Hands-on knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), data science platforms (Databricks, Snowflake, SageMaker), and data visualization tools  Strong understanding of MLOps, model governance, data governance, security, and compliance considerations  Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences  Strong problem-solving and adaptability skills with an ability to work independently and as part of a team Behavioral Skills:  Take ownership and accountability of outcomes, ensuring successful solution delivery and client satisfaction  Exhibit excellent written and verbal communication skills, effectively conveying complex information  Demonstrate strong problem-solving abilities, addressing challenges with innovative solutions  Foster a collaborative team environment and show self-driven initiative to achieve goals If you are passionate about leading teams to deliver impactful data science, AI/ML or analytics solutions, possess strong technical and consulting expertise, and are committed to achieving exceptional client satisfaction, we encourage you to apply for this exciting opportunity. Join us in driving innovation and delivering value to our clients through data-driven insights and solutions. Why Should You Apply? Buoyant Culture: Embark on an Grow with Us: Be part of a hyper- People: Join hands with the talent- ed, warm, collaborative team and highly exciting journey with a team that growth startup with ample accomplished leadership. innovates solutions everyday, opportunities to Learn & Innovate. tackles challenges head-on and crafts a vibrant work environment.

Location: Bangalore, Karnataka Factspan Overview: Factspan is a pure play analytics organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bangalore, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Job Description As an LLM (Large Language Model) Engineer, you will be responsible for designing, optimizing, and standardizing the architecture, codebase, and deployment pipelines of LLM-based systems. Your primary mission will focus on modernizing legacy machine learning codebases (including 40+ models) for a major retail client—enabling consistency, modularity, observability, and readiness for GenAI-driven innovation. You’ll work at the intersection of ML, software engineering, and MLOps to enable seamless experimentation, robust infrastructure, and production-grade performance for language-driven systems. This role requires deep expertise in NLP, transformer-based models, and the evolving ecosystem of LLM operations (LLMOps), along with a hands-on approach to debugging, refactoring, and building unified frameworks for scalable GenAI workloads. Responsibilities: Lead the standardization and modernization of legacy ML codebases by aligning to current LLM architecture best practices. Re-architect code for 40+ legacy ML models, ensuring modularity, documentation, and consistent design patterns. Design and maintain pipelines for fine-tuning, evaluation, and inference of LLMs using Hugging Face, OpenAI, or open- source stacks (e.g., LLaMA, Mistral, Falcon). Build frameworks to operationalize prompt engineering, retrieval-augmented generation (RAG), and few-shot/in- context learning methods. Collaborate with Data Scientists, MLOps Engineers, and Platform teams to implement scalable CI/CD pipelines, feature stores, model registries, and unified experiment tracking. Benchmark model performance, latency, and cost across multiple deployment environments (on-premise, GCP, Azure). Develop governance, access control, and audit logging mechanisms for LLM outputs to ensure data safety and compliance. Mentor engineering teams in code best practices, versioning, and LLM lifecycle maintenance. 2nd Floor, South Block, Vaishnavi Tech Park, Ambalipura, Sarjapur Marathahalli Rd, Bengaluru, Karnataka 560102 info@factspan.com Key Skills: Deep understanding of transformer architectures, tokenization, attention mechanisms, and training/inference optimization Proven track record in standardizing ML systems using OOP design, reusable components, and scalable service APIs Hands-on experience with MLflow, LangChain, Ray, Prefect/Airflow, Docker, K8s, Weights & Biases, and model- serving platforms. Strong grasp of prompt tuning, evaluation metrics, context window management, and hybrid search strategies using vector databases like FAISS, pgvector, or Milvus Proficient in Python (must), with working knowledge of shell scripting, YAML, and JSON schema standardization Experience managing compute, memory, and storage requirements of LLMs across GCP, Azure, or AWS environments Qualifications & Experience: 5+ years in ML/AI engineering with at least 2 years working on LLMs or NLP-heavy systems. Able to reverse-engineer undocumented code and reimagine it with strong documentation and testing in mind. Clear communicator who collaborates well with business, data science, and DevOps teams. Familiar with agile processes, JIRA, GitOps, and confluence-based knowledge sharing. Curious and future-facing—always exploring new techniques and pushing the envelope on GenAI innovation. Passionate about data ethics, responsible AI, and building inclusive systems that scale Why Should You Apply? Grow with Us: Be part of a hyper- growth startup with ample number of opportunities to Learn & Innovate. People: Join hands with the talented, warm, collaborative team and highly accomplished leadership. Buoyant Culture: Regular activities like Fun-Fridays, Sports tournaments, Trekking and you can suggest few more after joining us 2nd Floor, South Block, Vaishnavi Tech Park, Ambalipura, Sarjapur Marathahalli Rd, Bengaluru, Karnataka 560102 info@factspan.com

Bangalore, Karnataka Factspan Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new pro-cesses that help them succeed. With offices in Seattle, Washington and Bangalore, India; we usea global delivery model to service our customers. Our customers include industry leaders fromR etail, Financial Services, Hospitality, and technology sectors. Job Description: Develop and execute pre-sales strategies to drive revenue growth and expand the client base. Engage with potential clients to understand their needs and challenges, acting as a trusted advisor. Design data analytics and ML engineering solutions that align with clients' objectives. Create compelling proposals and presentations that communicate our value proposition effectively. Stay informed about industry trends and competitor offerings to ensure our solutions remain competitive. Collaborate with sales, delivery, and technical teams for seamless project execution. Lead RFP and RFI responses and participate in thought leadership activities. Strong communication and presentation skills The ability to work independently and as part of a team. A passion for data and analytics Minimum 10 years of experience in data analytics and data engineering, with 5 years in pre-sales or client- facing roles. In-depth knowledge of data analytics tools, methodologies, and best practices. Excellent communication skills and leadership abilities. Strong problem-solving and adaptability skills. Proven track record in building and maintaining client relationships. Business acumen and understanding of data-driven value creation. Behavioral Skills: Take ownership and accountability of outcomes, ensuring successful project delivery and client satisfaction. Exhibit excellent written and verbal communication skills, effectively conveying complex information. Demonstrate strong problem-solving abilities, addressing challenges with innovative solutions. Foster a collaborative team environment and show self-driven initiative to achieve goals. If you are passionate about leading teams to deliver impactful data analytics solutions, possess strong technical and consulting expertise, and are committed to achieving exceptional client satisfaction, we encourage you to apply for this exciting opportunity. Join us in driving innovation and delivering value to our clients through data- driven insights and solutions. Why Should You Apply? People: Join hands with the talent- Buoyant Culture: Embark on an Grow with Us: Be part of a ed, warm, collaborative team and exciting journey with a team hyper- growth startup with highly accomplished leadership. that innovates solutions ample number of everyday, tackles challenges opportunitiest o Learn & head-on and crafts a vibrant Innovate. work environment

Bengaluru, Karnataka Factspan Overview: Factspan is a pure-play data and analytics services organization. We partner with Fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations, and implement new processes that help them succeed. With offices in Seattle, Washington, and Bengaluru, India, we use a global delivery model to service our customers. Our customers include industry leaders from the retail, financial services, hospitality, and technology sectors. Job Overview (Primary Skills - GCP, Kubeflow, Python, Vertex.ai) As a Machine Learning Engineer, you will oversee the entire lifecycle of machine learning models. Your role involves collaborating with cross-functional teams, including data scientists, data engineers, software engineers, and DevOps specialists, to bridge the gap between experimental model development and reliable production systems. You will be responsible for automating ML pipelines, optimizing model training and serving, ensuring model governance, and maintaining the stability of deployed systems. This position requires a blend of experience in software engineering, data engineering, and machine learning systems, along with a strong understanding of DevOps practices to enable faster experimentation, consistent performance, and scalable ML operations. What You Will Do  Work with data science leadership and stakeholders to understand business objectives, map the scope of work, and support colleagues in achieving technical deliverables.  Invest in strong relationships with colleagues and build a successful followership around a common goal.  Build and optimize ML pipelines for feature engineering, model training, and inference.  Develop low-latency, high-throughput model endpoints for distributed environments.  Maintain cloud infrastructure for ML workloads, including GPUs/TPUs, across platforms like GCP, AWS, or Azure  Troubleshoot, debug, and validate ML systems for performance and reliability.  Write and maintain automated tests (unit and integration).  Supports discussions with Data Engineers to work on data collection, storage, and retrieval processes. Collaborate with Data Governance to identify data issues and propose data cleansing or enhancement solutions.  Drive continuous improvement efforts in enhancing performance and providing increased functionality, including developing processes for automation. Skills You Will Need  Group Work Lead: Ability to lead portions of pod iteratives; can clearly communicate priorities and play an effective technical support role for colleagues.  Communication: Maintaining timely communication with management and stakeholders on project progress, issues, and concerns. Developing effective communication plans tailored to diverse audiences.  Consultive Mindset: Go beyond just providing analytics and actively engage stakeholders to understand their challenges and goals. Ability to have a business-first viewpoint when developing solutions.  Cloud & ML Ops: Expertise in managing cloud-based ML infrastructures (GCP, AWS, or Azure), coupled with DevOps practices, ensures seamless model deployment, scalability, and system reliability. This includes containerization, CI/CD pipelines, and infrastructure-as-code tools. Proficiency in programming languages such as Python, SQL, and Java. Who You Are  5+ years of industry experience working with machine learning tools and technologies.  Familiarity with agile development frameworks and collaboration tools (e.g., JIRA, Confluence).  Experience using Tensorflow, PyTorch, scikit-learn, Kubeflow, pandas and numpy. and frameworks like Ray, Dask preferred.  Expertise in data engineering, object-oriented programming, and familiarity with microservices and cloud technologies.  An ongoing learner who seeks out emerging technology and can influence others to think innovatively.  Gets energized by fast-paced environments and capable of supporting multiple projects - can identify primary and secondary objectives, prioritize time, and communicate timelines to team members.  Dedicated to fulfilling ideals of diversity, inclusion, and respect that the client aspire to achieve every day in every way.  Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision. If you are passionate about leveraging technology to drive business innovation, possess excellent problem-solving skills, and thrive in a dynamic environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data analytics and making a meaningful impact in the industry Why Should You Apply? People: Join hands with the talented, Buoyant Culture: Embark on an Grow with Us: Be part of a hyper- growth warm, collaborative team and highly exciting journey with a team startup with great opportunities to Learn that innovates solutions, & Innovate. accomplished leadership. tackles challenges head-on and crafts a vibrant work environment .

Job Title: AI Automation Engineer Location: Remote Employment Type: Full-time, Permanent Work Roster: 10AM-6PM (Melbourne Time) Experience Requirement: 4+ years Start Date: Immediate About the Role We’re looking for a dynamic and tech savvy AI Automation Engineer to join our client's team. This role is perfect for someone with a strong foundation in automation, scripting, and cloud technologies—who thrives in a collaborative, fast-moving environment. You will be directly engaging with our client's end clients to understand their automation needs and delivering tailored AI-driven solutions that drive business efficiency. Key Responsibilities Design, develop, and deploy custom automation solutions using low-code/no-code tools. Integrate and optimise workflows for systems such as n8n, make.com and Zapier Host, manage, and scale microservices in AWS or Azure environments. Collaborate with cross-functional teams to implement AI-powered automation aligned with business objectives. Ensure all solutions are scalable, secure, and maintainable. Document processes and support knowledge sharing within the team. Required Skills Experienced with automation in environments like n8n, make.com, or Zapier . Background in hosting and maintaining microservices on AWS or Azure . Experience working with low-code/no-code platforms for rapid deployment. Understanding of cloud infrastructure and technologies associated with AI integration. Proven experience in custom scripting (Python, JavaScript) for automation purposes. Ability to think beyond traditional machine learning approaches— we are not seeking someone from a pure ML ecosystem. Cultural Fitness Excellent verbal and written communication skills— fluent English is a must . A dynamic personality who can work independently and bring positive energy to a small, agile team. Experience in agile teams or start-up environments. Strong analytical and problem-solving mindset. Why Join Us? Exciting Global Projects – Work with international clients and gain exposure to diverse industries. Collaborative Culture – Be part of a highly skilled and supportive team that values innovation, teamwork, and professional growth. Work-Life Balance – Fixed shifts aligned with Brisbane time, allowing for structured weekends and a balanced schedule. Show more Show less

About the Role: We are looking for an experienced Digital Twin Developer to lead the design and implementation of a next-generation simulation and analytics platform for connected transportation systems. This role focuses on creating real-time, physics-accurate digital replicas of road environments, vehicles, pedestrians, and infrastructure using tools like NVIDIA Omniverse technology or similar enterprise digital twin platforms. You’ll work closely with ML engineers, data scientists, and simulation experts to bring to life traffic participant’s behaviour onto the platform. Key Responsibilities: Develop scalable, interactive digital twins for autonomous driving simulation , including vehicle behaviour, traffic dynamics, pedestrian modeling, and V2X scenarios. Integrate LiDAR, camera, and RADAR sensor data into high-fidelity 3D environments using Omniverse or VISSIM or similar. Collaborate with AI/ML teams to inject ground truth data and synthetic variations to improve prediction accuracy. Develop 3D assets / city visualizations and integrate with live data feed with accurate positioning . Required Skills: ~5 years of experience in simulation, game engines, or digital twin development. 3D modelling tools like Maya / Blender & USD composer / presenter. Proficiency in Python , C++ , and 3D simulation platforms (e.g., Omniverse / Nucleus , CARLA , Unity and/or VISSIM ). Experience with integrating LiDAR, RADAR, and camera simulations. Understanding of basic ML systems . Familiarity with event-driven architectures , real-time streaming (Kafka, Flink) , and CEP engines . Deploying / Hosting digital twin platforms in cloud. Hands-on experience with 3D modelling formats like USD, FBX, or glTF. Nice to have skills: Strong mathematical and physics fundamentals for kinematics and motion modeling. Experience with HD maps , city visualizer, localization systems, and coordinate transformations. Any Previous work in factory modelling, smart city infrastructure , or V2X communications would be an added advantage Show more Show less

Proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Experience with natural language processing (NLP) and large language models (LLMs). Understanding of generative models and their applications. Proficiency in programming languages such as Python, Go, or Java. Experience in developing APIs and integrating AI models into existing systems. Familiarity with containerization tools (e.g., Docker, Kubernetes). Experience with (CI/CD) pipelines and databases or data lakes, and/or real-time data processing frameworks. Show more Show less

Job Title: Technical Lead – AI & LLMs Location: India (Remote or Hybrid as required) Employment Type: 12-Month Contract (Extendable) Compensation: Competitive, based on experience Team Size: Leading a team of 20 engineers About the Role We are looking for a Technical Lead with hands-on experience in Large Language Models (LLMs) , generative AI systems, and full-stack AI product development. In this contract role, you will be responsible for leading and coordinating a multidisciplinary team of 20 engineers to design, build, and deploy AI-driven solutions from concept to production. Key Responsibilities Architect and lead the development of AI-powered applications using LLMs and generative AI frameworks. Supervise model development, fine-tuning, prompt engineering, and RAG pipelines. Lead end-to-end implementation across data pipelines, backend APIs, and deployment infrastructure. Mentor a cross-functional team of machine learning engineers, backend developers, and DevOps specialists. Collaborate with stakeholders to align product requirements with technical deliverables. Set coding standards, enforce best practices, and ensure timely project delivery. Implement CI/CD and MLOps processes using tools like MLflow, SageMaker, or Vertex AI. Ensure scalability, security, and performance of deployed AI services. Required Skills 8+ years in software engineering, with at least 3+ years in AI/ML development. Proven experience working with LLMs, transformer models, and modern NLP frameworks. Proficient in Python , cloud services (AWS/GCP), RESTful APIs, and containerization (Docker/Kubernetes). Experience with LangChain, LlamaIndex, vector databases (FAISS, Pinecone, Weaviate), and orchestration tools. Demonstrated success in managing medium-to-large engineering teams and delivering AI products at scale. Strong communication, documentation, and leadership skills. Preferred Qualifications Experience working with open-source or commercial LLM providers (e.g., OpenAI, Mistral, Claude). Familiarity with frontend integration for AI interfaces (e.g., chatbot UIs, copilots). Awareness of AI safety, bias mitigation, and ethical deployment practices. Prior experience in startup or rapid innovation environments. Contract Details Duration: 12 months (with potential to extend) Location: India (remote-first with optional in-person meetings) Work Schedule: Full-time, flexible hours Reporting To: Partner of the company Show more Show less

About the Role You’ll join a small, fast team turning cutting-edge AI research into shippable products across text, vision, and multimodal domains. One sprint you’ll be distilling an LLM for WhatsApp chat-ops; the next you’ll be converting CAD drawings to BOM stories, or training a computer-vision model that flags onsite safety risks. You own the model life-cycle end-to-end: data prep ➞ fine-tune/distil ➞ evaluate ➞ deploy ➞ monitor. Key Responsibilities Model Engineering • Fine-tune and quantise open-weight LLMs (Llama 3, Mistral, Gemma) and SLMs for low-latency edge inference. • Train or adapt computer-vision models (YOLO, Segment Anything, SAM-DINO) to detect site hazards, drawings anomalies, or asset states. Multimodal Pipelines • Build retrieval-augmented-generation (RAG) stacks: loaders → vector DB (FAISS / OpenSearch) → ranking prompts. • Combine vision + language outputs into single “scene → story” responses for dashboards and WhatsApp bots. Serving & MLOps • Package models as Docker images, SageMaker endpoints, or ONNX edge bundles; expose FastAPI/GRPC handlers with auth, rate-limit, telemetry. • Automate CI/CD: GitHub Actions → Terraform → blue-green deploys. Evaluation & Guardrails • Design automatic eval harnesses (BLEU, BERTScore, CLIP similarity, toxicity & bias checks). • Monitor drift, hallucination, latency; implement rollback triggers. Enablement & Storytelling • Write prompt playbooks & model cards so other teams can reuse your work. • Run internal workshops: “From design drawing to narrative” / “LLM safety by example”. Required Skills & Experience 3+ yrs ML/NLP/CV in production; at least 1 yr hands-on with Generative AI . Strong Python (FastAPI, Pydantic, asyncio) and HuggingFace Transformers OR diffusers . Experience with minima­l-footprint models (LoRA, QLoRA, GGUF, INT-4) and vector search. Comfortable on AWS/GCP/Azure for GPU instances, serverless endpoints, IaC. Solid grasp of evaluation/guardrail frameworks (Helm, PromptLayer, Guardrails-AI, Triton metrics). Bonus Points Built a RAG or function-calling agent used by 500+ users. Prior CV pipeline (object-detection, segmentation) or speech-to-text real-time project. Live examples of creative prompt engineering or story-generation. Familiarity with LangChain, LlamaIndex, or BentoML. Why You’ll Love It Multidomain playground – text, vision, storytelling, decision-support. Tech freedom – pick the right model & stack; justify it; ship it. Remote-first – work anywhere ±4 hrs of IST; quarterly hack-weeks in Hyderabad. Top-quartile pay – base + milestone bonus + conference stipend. How to Apply Send a resume and link to GitHub / HF / Kaggle showcasing LLM or CV work. Include a 200-word note describing your favourite prompt or model tweak and the impact it had. Short-listed candidates complete a practical take-home (fine-tune tiny model, build RAG or vision demo, brief write-up) and a 45-min technical chat. We hire builders, not resume keywords. Show us you can ship AI that works in the real world—and explain it clearly—and you’re in. Show more Show less

Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role; overseeing projects, with 1 year of experience in a people management, supervision/team leadership role. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 3 years of experience working in a complex, matrixed organization. About The Job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. Google Compute Engine (GCE) is the foundation of Google Cloud Platform, providing Infrastructure as a Service (IaaS) to customers worldwide. In this role, you will be responsible for innovating at scale in virtualized storage, networking, telemetry, and customer workload management. You will have a direct impact on the continued success of GCE by ensuring robust, scalable, and cutting-edge infrastructure that powers virtual machine instances and bare metal solutions. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build a brand new team of engineers to develop innovative observability and analytics infrastructure. Provide long-term vision to build GCE AI/ML accelerator VM team to provide training, interference and high computing VM families. Own end to end responsibility of enabling the technology to deliver VM families, ensuring their Availability, Reliability, and Performance, working closely with partner teams to realize the vision. Grow the team to expand new capabilities that extend beyond the immediate project. Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Title: Robotics Software Engineer 1 (Junior) Description Auzmor is redefining workforce training by seamlessly integrating human and robotic skill development to empower the hybrid workforce of tomorrow. As a Robotics & AI Research Engineer in our Robotics Division, you will lead pioneering research to enhance robotic capabilities through advanced artificial intelligence, focusing on areas such as autonomous decision-making, object recognition, and natural language processing for human-robot interaction. You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor’s end-to-end hybrid workforce training platform. Collaborating with robotics software, simulation, and compliance teams, you will create AI-driven training modules, proprietary algorithms, and skill development tools, ensuring robust integration with robotic systems for applications in manufacturing, logistics, and healthcare. This role is essential to achieving Auzmor’s mission of delivering 25% improvement in human-robot efficiency, addressing the 35% skills gap in human-robot collaboration, and maintaining a 2-3 year lead in the $45B robotic training market by 2028, growing to $100B by 2030. Key Responsibilities Software Development: Design and implement robust, scalable code in Python, C++, and ROS 2 for robotic autonomy, perception, and control systems, optimizing for real-time performance. Perception and Autonomy: Lead development of perception systems, integrating computer vision (e.g., OpenCV), sensor fusion (LIDAR, IMU), and neural policies for adaptive tasks like dynamic grasping or inventory scanning. Skill Creation: Drive the development of no-code Task Creator UI modules and behavior trees for deterministic tasks (e.g., assembly), ensuring usability for non-expert enterprise users. Simulation and Testing: Develop and validate software in NVIDIA Isaac Sim environments (e.g., warehouse, hospital scenarios), targeting 95% task success and 0.1% collision rates; support real-world trials with enterprise clients. Fleet Monitoring: Implement telemetry and anomaly detection systems using AWS IoT Greengrass, addressing 5% failure rates and enabling continuous learning updates to neural policies and behavior trees. Compliance: Ensure software aligns with OSHA, EU AI Act, and ISO 10218 standards, supporting digital badge generation for audit-ready compliance records. Mentorship: Guide junior engineers, conduct code reviews, and foster best practices in software development and testing. Collaboration: Partner with AI teams to integrate machine learning models (e.g., TensorFlow, PyTorch) and work with clients to customize task-specific skills for pilot deployments. Requirements Education: Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field. Experience: ○ 5+ years of experience in robotics software development, with a focus on autonomy, perception, or control systems. ○ Strong expertise in Python, C++, and ROS 2; proficiency with OpenCV, TensorFlow, or PyTorch. ○ Experience with real-time systems, embedded software, and sensor integration (e.g., LIDAR, cameras). ○ Prior work with simulation platforms (e.g., NVIDIA Isaac Sim, Gazebo) and IoT frameworks (e.g., AWS IoT Greengrass) is preferred. Technical Skills: ○ Advanced knowledge of algorithms for navigation, path planning, and human-robot interaction. ○ Experience with behavior trees, neural policies, or reinforcement learning for robotic tasks. ○ Ability to optimize software for scalability and reliability in fleets of 100+ robots. Soft Skills: Strong leadership, problem-solving, and communication skills to mentor team members and collaborate with cross-functional teams and clients. Preferred: Experience in manufacturing, logistics, or healthcare robotics; familiarity with compliance standards (OSHA, EU AI Act, ISO 10218). Why Needed The Mid-Level Robotics Software Engineer is essential for scaling Auzmor’s Robotics Division, leading critical components of our hybrid workforce training platform. This role supports Phase 2 (2025) goals, including the development of Task Creator prototypes and 5 robotic training pilots generating $500K in revenue, as well as Phase 3 (2026) objectives of neural policy deployment and anomaly detection. By addressing the 35% skills gap in human-robot collaboration and ensuring compliance with global regulations, this position drives Auzmor’s growth in the $45B robotic training market by 2028. Why Auzmor? Impact: Be part of a 2-3 year lead in hybrid workforce training, working with 100+ enterprise clients, including Fortune 500 companies. Innovation: Leverage Auzmor’s 6-year AI/ML stack, ROS 2-compatible platform, and partnerships with NVIDIA and AWS to build state-of-the-art robotics solutions. Growth: Join a team targeting $18M ARR in 2025 and $27.2M by 2028, with opportunities to shape a rapidly expanding industry. Culture: Collaborate with a dream team, including our CPO and VP of Robotics, in a dynamic, mission-driven environment. Location Hyderabad, India Compensation Competitive salary, equity options, and comprehensive benefits Auzmor is an equal-opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates. Show more Show less

Description Auzmor is redefining workforce training by seamlessly integrating human and robotic skill development to empower the hybrid workforce of tomorrow. As a Robotics & AI Research Engineer in our Robotics Division, you will lead pioneering research to enhance robotic capabilities through advanced artificial intelligence, focusing on areas such as autonomous decision-making, object recognition, and natural language processing for human-robot interaction. You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor’s end-to-end hybrid workforce training platform. Collaborating with robotics software, simulation, and compliance teams, you will create AI-driven training modules, proprietary algorithms, and skill development tools, ensuring robust integration with robotic systems for applications in manufacturing, logistics, and healthcare. This role is essential to achieving Auzmor’s mission of delivering 25% improvement in human-robot efficiency, addressing the 35% skills gap in human-robot collaboration, and maintaining a 2-3 year lead in the $45B robotic training market by 2028, growing to $100B by 2030. Key Responsibilities AI Model Development: Design, train, and optimize advanced machine learning models, including deep learning, reinforcement learning, and generative AI, for robotic applications such as autonomous navigation, dynamic grasping, or conversational human-robot interfaces. Research Innovation: Conduct cutting-edge research in computer vision, neural policies, or natural language processing to develop adaptive and deterministic robotic behaviors for tasks like inventory scanning or patient assistance. Skill Creation: Develop AI-driven training modules and templates for Auzmor’s no-code Task Creator UI, enabling enterprise clients to create task-specific robotic skills (e.g., quality control in manufacturing, patient care in healthcare). Simulation and Validation: Validate AI models in NVIDIA Isaac Sim environments (e.g., warehouse, hospital scenarios), targeting 95% task success and 0.1% collision rates; support real-world validation during pilot deployments with enterprise clients. Fleet Monitoring Integration: Create algorithms for real-time anomaly detection and continuous learning, integrating with AWS IoT Greengrass to address 5% failure rates and enable updates to neural policies and behavior trees for fleet optimization. Compliance Alignment: Ensure AI models comply with OSHA, EU AI Act, and ISO 10218 standards, supporting digital badge generation for audit-ready compliance records in regulated industries. Knowledge Dissemination: Publish research findings in top-tier journals or internal whitepapers to enhance Auzmor’s thought leadership, and develop proprietary algorithms to strengthen our intellectual property portfolio. Cross-functional collaboration: Partner with robotics software engineers to translate research into production-ready systems, collaborate with simulation teams to refine scenarios, and work with enterprise clients to customize AI solutions for pilot programs. Requirements Education: PhD or Master’s degree in Artificial Intelligence, Machine Learning, Robotics, Computer Science, or a related field. Experience: ○ 2+ years of experience in AI research applied to robotics, autonomous systems, or related fields. ○ Proven expertise in machine learning frameworks such as PyTorch, TensorFlow, or JAX. ○ Strong publication record in peer-reviewed journals or demonstrated experience deploying AI models in real-world robotic applications. ○ Experience with ROS 2, computer vision libraries (e.g., OpenCV), or simulation platforms (e.g., NVIDIA Isaac Sim) is highly desirable. Technical Skills: ○ Advanced knowledge of reinforcement learning, computer vision, or natural language processing for robotic applications. ○ Proficiency in designing and optimizing neural policies, behavior trees, or generative AI models for adaptive robotic tasks. ○ Ability to develop algorithms for real-time decision-making and scalable human-robot collaboration. Soft Skills: Exceptional analytical and creative problem-solving skills, strong communication skills to convey complex research to diverse audiences, and the ability to collaborate across technical and client-facing teams. Preferred: Experience in robotics applications for manufacturing, logistics, or healthcare; familiarity with compliance standards (OSHA, EU AI Act, ISO 10218); prior work on hybrid human-robot training or fleet management systems. Why Needed The Robotics & AI Research Engineer is a cornerstone of Auzmor’s Robotics Division, driving the development of AI innovations that power our end-to-end hybrid workforce training platform. This role directly supports Auzmor’s Phase 2 (2025) goals of launching AI agent training modules, Task Creator prototypes, and robotic training pilots, as well as Phase 3 (2026) objectives of full-scale neural policy deployment and anomaly detection. By addressing the 35% skills gap in human-robot collaboration and enabling 99% fleet uptime, this position aligns with Auzmor’s vision to capture a share of the $45B robotic training market by 2028, growing to $100B by 2030. Why Auzmor? Impact: Be part of a 2-3 year lead in hybrid workforce training, working with 100+ enterprise clients, including Fortune 500 companies. Innovation: Leverage Auzmor’s 6-year AI/ML stack, ROS 2-compatible platform, and partnerships with NVIDIA and AWS to build state-of-the-art robotics solutions. Growth: Join a team targeting $18M ARR in 2025 and $27.2M by 2028, with opportunities to shape a rapidly expanding industry. Culture: Collaborate with a dream team, including our CPO and VP of Robotics, in a dynamic, mission-driven environment. Location Hyderabad, India Compensation Competitive salary, equity options, and comprehensive benefits Auzmor is an equal-opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates. Show more Show less

Title: Robotics Software Engineer 1 (Junior) Description Auzmor is redefining workforce training by seamlessly integrating human and robotic skill development to empower the hybrid workforce of tomorrow. As a Robotics & AI Research Engineer in our Robotics Division, you will lead pioneering research to enhance robotic capabilities through advanced artificial intelligence, focusing on areas such as autonomous decision-making, object recognition, and natural language processing for human-robot interaction. You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor’s end-to-end hybrid workforce training platform. Collaborating with robotics software, simulation, and compliance teams, you will create AI-driven training modules, proprietary algorithms, and skill development tools, ensuring robust integration with robotic systems for applications in manufacturing, logistics, and healthcare. This role is essential to achieving Auzmor’s mission of delivering 25% improvement in human-robot efficiency, addressing the 35% skills gap in human-robot collaboration, and maintaining a 2-3 year lead in the $45B robotic training market by 2028, growing to $100B by 2030. Key Responsibilities Software Development: Write, optimize, and maintain high-performance code in Python, C++, and ROS 2 to support robotic autonomy, perception, and control systems. Perception and Autonomy: Implement and refine perception systems using computer vision (e.g., OpenCV), sensor fusion (LIDAR, IMU), and neural policies for adaptive tasks like dynamic grasping or inventory scanning. Skill Creation: Develop no-code Task Creator UI components and behavior trees for deterministic tasks (e.g., assembly) to support Auzmor’s skill development platform. Simulation and Testing: Build and test software in NVIDIA Isaac Sim environments (e.g., warehouse, hospital scenarios) to achieve 95% task success and 0.1% collision rates; conduct supervised real-world trials. Fleet Monitoring and Retraining: Integrate software with AWS IoT Greengrass for real-time telemetry, anomaly detection (e.g., identifying 5% failure rates), and continuous learning updates to neural policies and behavior trees. Compliance and Certification: Ensure software supports digital badge generation for OSHA and EU AI Act compliance; implement safety standards per ISO 10218. Collaboration: Partner with AI teams to integrate machine learning models (e.g., TensorFlow, PyTorch) into robotic systems and work with enterprise clients to customize task-specific skills. Deployment: Support OTA updates, skill versioning, and rollbacks for fleets of 100+ robots, ensuring scalability and reliability. Requirements Education: Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field. Experience: ○ 1 to 3 years of experience in robotics software development, with a focus on autonomy, perception, or control. ○ Proven expertise in Python, C++, and ROS 2; familiarity with OpenCV, TensorFlow, or PyTorch. ○ Experience with real-time systems, embedded software, and sensor integration (e.g., LIDAR, cameras). ○ Prior work with simulation platforms (e.g., NVIDIA Isaac Sim, Gazebo) is a plus. Technical Skills: ○ Proficiency in developing algorithms for navigation, path planning, and human-robot interaction. ○ Knowledge of behavior trees, neural policies, or reinforcement learning for robotic tasks. ○ Familiarity with AWS IoT Greengrass or similar IoT platforms for telemetry and monitoring. Soft Skills: Strong problem-solving abilities, teamwork, and communication skills to collaborate with cross-functional teams and enterprise clients. Preferred: Experience in manufacturing, logistics, or healthcare robotics applications; knowledge of compliance standards (OSHA, EU AI Act, ISO 10218). Why Needed The Robotics Software Engineer is a cornerstone of Auzmor’s Robotics Division, driving the development of software that powers our end-to-end hybrid workforce training platform. This role directly supports Auzmor’s Phase 2 (2025) goals of launching AI agent training modules, Task Creator prototypes, and robotic training pilots, as well as Phase 3 (2026) objectives of full-scale neural policy deployment and anomaly detection. By addressing the 35% skills gap in human-robot collaboration and enabling 99% fleet uptime, this position aligns with Auzmor’s vision to capture a share of the $45B robotic training market by 2028, growing to $100B by 2030. Why Auzmor? Impact: Be part of a 2-3 year lead in hybrid workforce training, working with 100+ enterprise clients, including Fortune 500 companies. Innovation: Leverage Auzmor’s 6-year AI/ML stack, ROS 2-compatible platform, and partnerships with NVIDIA and AWS to build state-of-the-art robotics solutions. Growth: Join a team targeting $18M ARR in 2025 and $27.2M by 2028, with opportunities to shape a rapidly expanding industry. Culture: Collaborate with a dream team, including our CPO and VP of Robotics, in a dynamic, mission-driven environment. Location Hyderabad, India Compensation Competitive salary, equity options, and comprehensive benefits Auzmor is an equal-opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates. Show more Show less

Ways of Working - Mandate 3 : Employees to be located in their place of posting / respective office base location. About Swiggy Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. Job Description Sign Contracts with restaurants along and handling the inquiries from existing and new client Gather sales leads from the market and approach restaurants actively, from no star to 5 stars and get them on board with Swiggy as a partner Maintaining a strong relationship with restaurant owners and advising them on issues related to the market and offering solutions on the same Manage the sales administration function, operational performance reporting, streamlining processes and systems wherever possible, and advising senior management on maximizing business relationships and creating an environment where customer service can flourish Responsible for managing the sales individually, developing a business plan covering sales, revenue, agreed targets, and promoting the organizations presence and expense controls, meeting agreed targets, and promoting the organizations presence Should be able to handle potential clients when on field as the first in command Being the face of Swiggy in the market and standing up for the values we believe in Desired Candidate Graduate with 2+ years of experience in sales domain Good working knowledge and experience of e-commerce activities and all online marketing channels Confident, Pleasing and a go-getter personality Effective communication skills Attitude & Aptitude for Sales Should be a team player, working alongside people from all walks of life Analytical, good excel skills. Leadership and Influencing skills: Identify, builds and uses a wide network of contacts with people at all levels, internally and externally. Achieves a good result through a well-planned approach Initiative & Flexibility: Recognizes the need to adapt to change & implement appropriate solutions. Be able to identify opportunities and recommend/influence for change to increase effectiveness and success on campaigns Creativity & Initiative: Demonstrate creativity & originality in your work and have the personal drive and initiative to bring about change and help drive the business forward "We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law" Show more Show less

Role We are seeking an experienced Data Modeler/Lead with deep expertise in health plan data models and enterprise data warehousing to drive our healthcare analytics and reporting initiatives. The candidate should have hands-on experience with modern data platforms and a strong understanding of healthcare industry data the Role : The candidate will be responsible for leading data modeling initiatives and ensuring compliance with healthcare regulations while collaborating with various stakeholders to translate business requirements into technical : Data Architecture & Modeling Design and implement comprehensive data models for health plan operations, including member enrollment, claims processing, provider networks, and medical management. Develop logical and physical data models that support analytical and regulatory reporting requirements (HEDIS, Stars, MLR, risk adjustment). Create and maintain data lineage documentation and data dictionaries for healthcare datasets. Establish data modeling standards and best practices across the organization. Technical Leadership Lead data warehousing initiatives using modern platforms like Databricks or traditional ETL tools like Informatica. Architect scalable data solutions that handle large volumes of healthcare transactional data. Collaborate with data engineers to optimize data pipelines and ensure data quality. Healthcare Domain Expertise Apply deep knowledge of health plan operations, medical coding (ICD-10, CPT, HCPCS), and healthcare data standards (HL7, FHIR, X12 EDI). Design data models that support analytical, reporting and AI/ML needs. Ensure compliance with healthcare regulations including HIPAA/PHI, and state insurance regulations. Partner with business stakeholders to translate healthcare business requirements into technical data solutions. Data Governance & Quality Implement data governance frameworks specific to healthcare data privacy and security requirements. Establish data quality monitoring and validation processes for critical health plan metrics. Lead efforts to standardize healthcare data definitions across multiple systems and data sources. Required Qualifications Skills 10+ years of experience in data modeling with at least 4 years focused on healthcare/health plan data. Expert-level proficiency in dimensional modeling, data vault methodology, or other enterprise data modeling approaches. Hands-on experience with Informatica PowerCenter/IICS or Databricks platform for large-scale data processing. Strong SQL skills and experience with Oracle Exadata and cloud data warehouses (Databricks). Proficiency with data modeling tools (Hackolade, ERwin, or similar). Healthcare Industry Knowledge Deep understanding of health plan data structures including claims, eligibility, provider data, and pharmacy data. Experience with healthcare data standards and medical coding systems. Knowledge of regulatory reporting requirements (HEDIS, Medicare Stars, MLR reporting, risk adjustment). Familiarity with healthcare interoperability standards (HL7 FHIR, X12 EDI). Leadership & Communication Proven track record of leading data modeling projects in complex healthcare environments. Strong analytical and problem-solving skills with ability to work with ambiguous requirements. Excellent communication skills with ability to explain technical concepts to business stakeholders. Experience mentoring team members and establishing technical standards. Preferred Qualifications Experience with Medicare Advantage, Medicaid, or Commercial health plan operations. Cloud platform certifications (AWS, Azure, or GCP). Experience with real-time data streaming and modern data lake architectures. Knowledge of machine learning applications in healthcare analytics. Previous experience in a lead or architect role within healthcare organizations. (ref:hirist.tech) Show more Show less

Voizer.ai is looking for a passionate and skilled Django Rest Framework Developer to join our full-time tech team. You’ll work on building high-performance APIs, powering AI-driven applications used across industries. This role is ideal for someone who loves solving real-world problems, optimizing systems, and contributing to meaningful AI projects. Key Responsibilities Developing & managing robust RESTful APIs using Django Rest Framework Writing scalable backend logic for AI & ML-driven platforms Optimizing PostgreSQL queries and schemas Deploying applications on AWS Collaborating with frontend & DevOps teams to deliver complete solutions Fixing bugs and enhancing performance 🛠️ Must-Have Skills 1+ year hands-on experience in backend development Strong command of Python and Django Rest Framework (DRF) Experience with PostgreSQL (queries, schema optimization) Working knowledge of AWS (EC2, S3, deployment) Bonus (Nice To Have) Basic understanding of Machine Learning Familiarity with Docker, CI/CD, Kubernetes Benefits Flexible work schedule Exposure to real-world AI & ML projects Fast-paced learning with expert mentors Great growth opportunity in the AI tech space About Company: Join Our Team at Voizer.ai! World's first AI-powered conversational caller AI callers can hold a conversation, empathize, and persuade just like our species, sometimes even better. It's comparable to hiring 10,000 sales reps who don't need to be managed, have unlimited memory, and work 24/7. Show more Show less

Job Title : Gen AI / ML Data Scientist Location : Gurugram / Chennai (Hybrid or Onsite) Experience : 46 years Employment Type : Full-time Job Summary We are looking for an experienced Data Scientist with strong expertise in Generative AI and Machine Learning to join our team. The ideal candidate will have hands-on experience in building, deploying, and optimizing AI/ML models for various real-world use cases, especially in GenAI (LLMs, Transformers, Diffusion Models, Responsibilities : Design and develop ML/AI models including but not limited to supervised, unsupervised, NLP, and Gen AI techniques. Build and fine-tune LLM-based solutions (e.g., GPT, BERT, LLaMA) for enterprise applications like chatbots, summarization, information extraction, etc. Conduct data preprocessing, feature engineering, and model evaluation using appropriate ML/AI techniques. Collaborate with data engineers, MLOps, and product teams to deploy models in production. Conduct research and stay up to date on emerging trends in Gen AI and ML. Work on Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases. Present findings and insights to business stakeholders and non-technical Skills & Experience : 5 years of experience in Data Science, ML, and AI. Strong experience with Generative AI frameworks (OpenAI, Hugging Face Transformers, LangChain, LlamaIndex, etc.). Proficiency in Python, with experience in libraries like Scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc. Experience working with LLMs, vector databases (e.g., FAISS, Pinecone), and large datasets. Familiarity with cloud platforms like AWS, GCP, or Azure for AI/ML model deployment. Good understanding of MLOps pipelines, CI/CD for ML, and model monitoring. Strong problem-solving and communication to Have : Knowledge of diffusion models, image/video generation, or multimodal models. Experience with data visualization tools (e.g., Tableau, Power BI, Plotly). Domain knowledge in BFSI, healthcare, or retail is a Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field. (ref:hirist.tech) Show more Show less

Job Title : AI/ML Engineer & Large Language Models (LLM) Location : Bengaluru, India Experience : 1 - 3 years Position Summary We are looking for an AI/ML Engineer with a strong background in Python, Django, and Object-Oriented Programming (OOP). The ideal candidate should have significant experience in prompt engineering, open source model fine-tuning, and using the HuggingFace libraries. Additionally, expertise in working with cloud platforms such as AWS SageMaker or similar services for training AI models is essential. Priority will be given to candidates with a research background, particularly those who have successfully fine-tuned and deployed AI models in real-world applications. Key Responsibilities Develop, fine-tune, and deploy AI models using Python and Django frameworks. Apply prompt engineering techniques to optimize model outputs and improve accuracy. Utilize HuggingFace libraries and other ML tools to build and fine-tune state-of-the-art models. Work on cloud platforms like AWS SageMaker or equivalent to train and deploy AI models efficiently. Collaborate with research teams to translate cutting-edge AI research into scalable solutions. Implement object-oriented programming (OOP) principles and problem-solving strategies in developing AI solutions. Stay updated with the latest advancements in AI/ML and integrate new techniques into ongoing projects. Document and share findings, best practices, and solutions across the engineering team. An Ideal Candidate Will Have Strong proficiency in Python and Flask/FastAPI. Experience in prompt engineering and fine-tuning AI models. Extensive experience with HuggingFace libraries and similar AI/ML tools. Strong experience in AI Agentic Architecture Hands-on experience with cloud platforms such as AWS SageMaker for training and deploying models. Proficiency in Databases like MongoDB or PostgreSQL, as well as vector databases such as FAISS, Qdrant, or Elasticsearch Hands-on experience with Docker and Git for version control. Background in AI/ML research, with a preference for candidates from research institutes. Demonstrated experience in training and deploying machine learning models in real-world applications. Solid understanding of object-oriented programming and problem-solving skills. Strong analytical skills and the ability to work independently or in a team environment. Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders. Must Have Skills Python Object-Oriented Programming (OOP) Prompt engineering HuggingFace libraries and similar AI/ML tools Open Source Model fine-tuning AI Agentic Architecture such as LangGraph and CrewA Docker and Git for version control. Databases like MongoDB or PostgreSQL, as well as vector databases such as FAISS, Qdrant, or Elasticsearch Good To Have Deep Learning and Machine Learning AWS SageMaker or similar services for training AI models Previous experience in academic or industrial research, with published work in AI/ML. Proven track record of successful AI model deployments and optimizations. Experience with databases like MongoDB or PostgreSQL, as well as vector databases such as FAISS, Qdrant, or Elasticsearch. Perks & Benefits Work on groundbreaking AI/ML projects in a collaborative and innovative environment. Access to state-of-the-art tools and cloud platforms. Opportunities for professional development and continuous learning. Competitive salary. (ref:hirist.tech) Show more Show less

Fynd is India’s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries. About Role We are looking for dynamic and motivated Business AI-Automation Interns to join the Commerce India team at Fynd. This internship is an exceptional opportunity to work at the intersection of business and AI innovation, developing and applying cutting-edge GenAI and automation tools across our Commerce-India operations. What will you do at Fynd? Assist in building and deploying AI/automation solutions for commerce functions. Work closely with business and tech teams to embed GenAI tooling into operational workflows. Contribute to the development of dashboards and data pipelines using BigQuery and similar tools. Support the development and integration of Fynd’s internal platforms including Boltic, Copilot, and other proprietary tools. Implement frontend enhancements using basic JavaScript, HTML, and CSS for internal tools. Continuously learn and apply Vibe-coding and automation best practices in real business use-cases Some Specific Requirements B.E./B.Tech in Computer Engineering or related field (mandatory) MBA or equivalent business qualification (preferred) Strong problem-solving and analytical skills Exposure to AI/ML or data tooling is a plus Should have knowledge of Frontend Scripting tools – JavaScript, HTML, CSS Should know basic SQL Keen interest in business automation and emerging technologies What do we offer? Growth Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially. Flex University We help you upskill by organising in-house courses on important subjects Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you. Culture Community and Team building activities Host weekly, quarterly and annual events/parties. Wellness Mediclaim policy for you + parents + spouse + kids Experienced therapist for better mental health, improve productivity & work-life balance We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment! Show more Show less

Selected Intern's Day-to-day Responsibilities Include Develop & maintain backend services powering AI agents, product orchestration, and growth workflows. Design & implement RESTful/GraphQL APIs for Go, Python, or Node.js-based systems. Integrate AI/ML models from frameworks like Hugging Face or TensorFlow into production-level services. Collaborate with frontend engineers, ML teams, and PMs to convert product requirements into real systems. Ensure reliability, performance & security in distributed environments. Build infrastructure for observability, logging, metrics, and operational tooling. Continuously learn & iterate – from proof-of-concepts to scalable production features. About Company: Our AI Agents automate end-to-end campaign planning, execution, and experimentation for B2C marketing teams and optimize growth spends. Marketing gets limited bandwidth for experimenting with growth ideas. They're limited to using 5-6 segments, their budgets are misallocated, causing poor retention and expensive re-acquisition, and they receive little support from data science, data engineering, design, and development teams for growth experiments. We offer AI agents for every stage of the growth funnel, from acquisition to retention, that automate core growth problems such as discounts, winback, rewards, referrals, engagement, and personalized recommendations. Our AI agents intelligently orchestrate each other to collectively automate growth. Show more Show less

Ways of Working - Employees will work from the office in hybrid mode (Bangalore). About Swiggy Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fueled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. Key Responsibilities Manage the complete Accounts Receivable (AR) process for the ads business vertical, covering over 150 brands. Monitor client payment schedules, generate invoices, and diligently follow up on collections. Develop and maintain strong relationships with clients to facilitate timely payments. Perform account reconciliations and address any billing discrepancies with both internal and external parties. Collaborate with the sales and delivery teams to ensure accurate billing and efficient issue resolution. Generate regular AR aging reports and escalate overdue payments in accordance with company policy. Support initiatives to streamline AR processes for enhanced efficiency and automation. Ensure adherence to internal controls, accounting policies, and relevant tax regulations (e.g., GST, TDS). Requirements Solid understanding of invoicing, collections, reconciliation, and payment follow-up procedures. Proficiency in Excel, Zoho/ERP systems, and fundamental accounting principles. Excellent communication and client relationship management skills. Proven ability to perform effectively in fast-paced, dynamic settings and manage multiple tasks. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law. Show more Show less

About Us We are a cutting-edge startup reshaping the construction management landscape with AI-driven solutions that simplify complex processes and maximise efficiency. Our platform leverages the latest web and mobile technologies to solve real-world challenges for the construction industry, blending innovation with usability. If you're passionate about building scalable systems and love solving problems, we want you on board! Who You Are A tech enthusiast with a knack for both front-end finesse and back-end brilliance. Youre eager to dive into code and bring ideas to life. You think in Angular components, dream in Node.js APIs, and are equally comfortable navigating MongoDB queries as you are crafting mobile interfaces with React Native or Flutter. You thrive in a fast-paced startup environment and have a passion for building things from scratch, continuously optimising for performance, and ensuring scalability. What Youll Do Full-stack Magic: Craft seamless, intuitive UIs with Angular and powerful, RESTful backend services using Node.js and MongoDB. End-to-End Development: Own features from brainstorming to deployment handling everything from database architecture to front-end performance. Optimise and Scale: Ensure that our platform is high-performing, scalable, and future-proof. Youll be part of laying the groundwork for big, exciting growth. Collaborate & Conquer: Work closely with our design, product, and AI teams to integrate machine learning and automation features into our platform, pushing the boundaries of what tech can do in construction. Tech Stack Frontend: Angular for web Backend: Node.js, Express, NestJS Database: MongoDB Cloud & DevOps: AWS, Docker, CI/CD pipelines What You Bring Angular wizardry you know your way around components, services, and everything in between. Node.js expertise you can build robust, scalable APIs and thrive in an asynchronous environment. React Native/Flutter mobile skills a passion for crafting intuitive mobile experiences. (Good to have, but not mandatory) MongoDB knowledge you understand database design, indexing, and aggregation pipelines. Code Quality Focus whether it's writing tests or reviewing pull requests, you're all about clean, maintainable code. Experience with Git, CI/CD, and working in an agile, fast-paced team. Bonus Points For Experience in AI/ML integrations or a curiosity about machine learnings potential in web and mobile apps. Familiarity with GraphQL and modern state management libraries. Experience with Microservices Why Work With Us Impact: Be part of a mission-driven startup solving real-world problems in a trillion-dollar industry. Innovation: Collaborate with a forward-thinking team to build AI-powered, scalable tools from the ground up. Growth: Were a fast-growing startup, so your career can skyrocket here. Bring your ideas, and well give you the space to make them happen. Culture: A collaborative, tech-driven, and fun work environment that values creativity, ownership, and growth. (ref:hirist.tech) Show more Show less

Company Description We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital , and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in. Job Description REQUIREMENTS: Total experience 16+ years Strong experience in technology, with AI/ML leadership within IT services or consulting Deep expertise in AI/ML, Generative AI (GenAI), Natural Language Processing (NLP), Large Language Models (LLMs), and cloud-native ML ecosystems Strong pre-sales and solution architecture experience with demonstrable success in closing large AI deals Hands-on knowledge of tools such as TensorFlow, PyTorch, Hugging Face, MLflow, and MLOps stacks Experience with AI ethics, responsible AI, and model governance Certifications in AI/ML from cloud providers (AWS, Azure, GCP) or leading academic institution Knowledge of AI regulations and compliance frameworks (e.g., GDPR, NIST AI RMF) Exceptional communication, client-facing, and executive stakeholder engagement skill RESPONSIBILITIES: Define and execute AI/ML strategies and offerings across verticals and service lines. Lead pre-sales activities including RFP responses, client workshops, solution design, and technical presentations. Develop and institutionalize AI architecture frameworks, accelerators, and reusable assets. Provide delivery oversight for complex AI programs ensuring high-quality, scalable, and ethical implementation. Partner with sales, delivery, domain consultants, and product engineering teams to drive AI success. Recruit, mentor, and manage distributed AI teams, fostering a culture of innovation and continuous learning. Represent the organization at executive briefings, industry conferences, and webinars to enhance AI visibility. Ensure adherence to AI ethics, data privacy, and responsible AI governance standards. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Show more Show less