Clinical Evaluation Jobs in Bengaluru

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

Manager - Key Opinion Leader (KOL) Management Location: Bengaluru Department: Operations Clinical Engagement Employment Type: Full-Time About Dozee Dozee Health AI is India s leading provider of AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS). Our mission is to save lives through connected healthcare, providing real-time monitoring that enables early detection of clinical deterioration, improves patient safety, and enhances outcomes. Trusted by hospitals across India, the USA, and Africa, Dozee is pioneering the future of patient care. Role Overview As a Manager - Key Opinion Leader (KOL) Management, you will play a crucial role in building strong relationships with healthcare professionals in partner hospitals. You will engage with senior doctors, medical directors, and department heads to communicate Dozee s research, clinical evidence, and product impact, helping them understand how our solutions can enhance patient safety and operational efficiency. Key Responsibilities Stakeholder Engagement Develop and nurture relationships with senior doctors, medical directors, and key decision-makers in partner hospitals. Conduct one-on-one meetings to understand their needs, address concerns, and provide tailored solutions. Act as the primary point of contact for KOLs, ensuring consistent and meaningful communication. Research & Product Advocacy Present Dozee s clinical evidence and product features to healthcare professionals in a clear, compelling manner. Showcase the impact of Dozee s solutions on patient safety and hospital efficiency. Gather feedback from KOLs to guide product improvements and share insights with internal teams. Relationship Management & Strategic Collaboration Serve as the key liaison between Dozee and the medical community, promoting trust and long-term partnerships. Collaborate with sales, marketing, and R&D teams to align KOL engagement strategies with business goals. Assist in co-creating evidence-based marketing materials and content with KOL input. Monitoring & Reporting Maintain detailed records of KOL interactions and monitor engagement progress. Prepare regular reports on KOL activities, feedback, and impact on business outcomes. Requirements Experience & Qualifications Bachelor s or Master s degree in life sciences, healthcare, or a related field. 5+ years of experience in a Senior Medical Representative or similar role. Expertise in engaging with doctors on research findings and medical trial data. In-depth understanding of the healthcare ecosystem and hospital operations. Skills Strong interpersonal and presentation skills with the ability to effectively communicate complex clinical data. Confident, persuasive, and comfortable interacting with senior healthcare professionals. Ability to travel extensively (up to 15+ days per month). Why Join Dozee Be part of an innovative, mission-driven company transforming healthcare with AI. Engage with top healthcare professionals and influence product adoption in leading hospitals. Contribute to a company that has already impacted 1 million+ patients and saved over 10 million nursing hours. Qualification : Bachelors or Masters degree in life sciences, healthcare or a related field

Medical Review Physician 1 Location: Bengaluru Employment Type: Full-Time About the Role We are seeking a detail-oriented and experienced Medical Review Physician to join our pharmacovigilance team in Bangalore. In this role, you will be responsible for the medical evaluation of individual case safety reports (ICSRs) across multiple data sources and therapeutic areas, ensuring compliance with global regulatory standards and internal quality benchmarks. Key Responsibilities Medical Review & Safety Assessment Perform medical review of both serious and non-serious ICSRs, with a focus on seriousness, expectedness, causality, and narrative quality. Review ICSRs originating from multiple sources: spontaneous reports, literature, regulatory authorities, solicited sources, and clinical trials. Evaluate and verify the selection of adverse events from source documents, assign appropriate MedDRA codes, assess product labelling, and review narratives for accuracy and completeness. Support triage activities and determine seriousness and relatedness across assigned products. Product & Process Expertise Maintain up-to-date knowledge of product portfolios and safety profiles across therapeutic areas, including Oncology, Respiratory, Immunology, Neuroscience, and Rare Diseases. Ensure timely completion of all medical review activities in line with regulatory timelines and service level agreements (SLAs). Contribute to process improvement initiatives, including implementation of quality control checks and feedback mechanisms. Collaboration & Training Provide expert medical guidance to case processors, data entry associates, and quality reviewers to address queries and discrepancies. Mentor and train team members in GVP concepts, case processing standards, and disease-specific medical knowledge. Collaborate with internal functional teams and client therapeutic groups to resolve case-related issues efficiently. Compliance & Quality Stay updated with ICH-GCP, GVP modules, 21 CFR, and other relevant regulatory guidelines. Deliver consistent, high-quality output while ensuring compliance with client-specific conventions and global safety standards. Take on additional tasks as assigned by the team lead/manager, adapting to shifting business priorities when necessary. Candidate Profile Education: MBBS or MD is required. Experience: 2 4 years of hands-on experience as a Medical Reviewer for ICSRs. Regulatory Knowledge: Strong understanding of ICH-GCP, Good Pharmacovigilance Practices (GVP), 21 CFR, and other international regulatory requirements. Technical Skills: Proficient in MS Office Suite (Outlook, Excel, Word, PowerPoint). Soft Skills: Excellent analytical, communication, and mentoring skills; ability to work independently and as part of a cross-functional team. Be part of a high-impact team contributing to global drug safety. Collaborate across a wide range of therapeutic areas and product portfolios. Develop and grow within a supportive, knowledge-driven work environment. Engage in continuous learning and professional development in a critical area of healthcare. Qualification : MBBS or MD is required

Lead/Associate Manager Case Processing 1 Location: Bengaluru Employment Type: Full-Time About the Role We are seeking a dynamic and experienced Lead/Associate Manager Case Processing to join our Pharmacovigilance team in Bengaluru. This role requires deep domain knowledge, leadership capability, and hands-on experience in handling Individual Case Safety Reports (ICSRs) across various sources. The ideal candidate will be responsible for managing day-to-day operations, ensuring compliance with global regulatory requirements, and mentoring a team of case processors. Key Responsibilities Operational Oversight Oversee and ensure the timely processing of ICSRs in accordance with SLA/KPI metrics. Allocate tasks effectively across the team to meet project deliverables and workload requirements. Proactively monitor team performance and work closely with team members to resolve operational or domain-related challenges. Risk & Issue Management Identify, escalate, and mitigate risks related to deliverables, compliance, or resourcing. Serve as a point of contact for internal stakeholders and clients regarding operational queries or escalations. Team Leadership & Performance Management Conduct regular performance evaluations, provide constructive feedback, and support career development of team members. Guide and mentor the team and Subject Matter Experts (SMEs) in ICSR processes, compliance standards, and MedDRA coding. Support functional capability development within the team and leadership pipeline. Training & Quality Assurance Conduct process and project-specific training as needed to ensure team competence and readiness. Ensure adherence to quality standards by contributing to quality system documentation, SOPs, and procedural updates. Provide feedback and suggestions to strengthen client/internal workflows and ensure continuous improvement. Process Improvement & Strategic Contribution Suggest and implement process enhancements to improve efficiency, accuracy, and compliance. Contribute to the development of scalable and sustainable pharmacovigilance processes. Collaborate cross-functionally to support strategic goals and business growth initiatives. Required Experience & Knowledge In-depth understanding of ICH-GCP, GVP modules, 21 CFR, and relevant global regulatory requirements. Proven expertise in managing high-volume ICSR workloads, including serious, non-serious, and potentially serious reports. Experience processing ICSRs from diverse sources: spontaneous, literature, solicited, regulatory authorities, and clinical trials. Exposure to therapeutic areas such as rare diseases and oncology is highly desirable. Experience in literature screening and review would be an added advantage. Proficient in MS Office applications (Excel, Word, Outlook, PowerPoint). Candidate Profile Education: Master s degree in Life Sciences, Pharmacy, or Medicine (or higher), aligned with project requirements. Experience: 10 12 years of relevant experience in pharmacovigilance, case processing, or related functions. Strong leadership skills with a proven ability to train, mentor, and manage cross-functional teams. Demonstrated ability to allocate resources, manage competing priorities, and maintain high-quality standards. Proactive, process-driven mindset with a commitment to continuous improvement and regulatory compliance. Work with a global leader in drug safety and pharmacovigilance services. Lead high-performing teams and contribute to the delivery of impactful healthcare solutions. Be part of a collaborative environment that values innovation, learning, and operational excellence. Apply now to lead meaningful work that impacts patient safety around the world. Qualification : Masters degree in Life Sciences, Pharmacy, or Medicine (or higher), aligned with project requirements

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Position: Quality Assessors (Radiology) Location: Bangalore, Karnataka, India Type: Full-Time Experience Required: 2 8 years Qualifications: B.Sc. in Radiology or Imaging Technology Job Summary: We are seeking dedicated and detail-oriented Quality Assessors / Radiographers to join our dynamic team. This is a unique opportunity to be part of a rapidly evolving healthcare ecosystem, working alongside leading radiologists and AI experts to transform diagnostic care through technology. Recent graduates or professionals with a B.Sc. in Radiology or Imaging Technology Candidates passionate about quality in healthcare and looking to grow within a technology-driven environment Key Responsibilities: Perform quality assessments of medical imaging studies to ensure accuracy and diagnostic value Collaborate with radiologists and AI engineers to support model validation and improvement Maintain documentation and compliance with clinical and regulatory standards Provide feedback on imaging quality and assist in continuous improvement initiatives What We Offer: Competitive Salary: Attractive compensation with additional benefits Professional Development: Ongoing training, mentorship, and skill-building opportunities Innovative Work Environment: Access to cutting-edge imaging and AI tools in a state-of-the-art facility Career Growth: Clear advancement pathways in a fast-growing healthcare AI organization Pioneers in AI Healthcare: Work at the forefront of artificial intelligence in radiology Commitment to Quality & Care: Make a meaningful impact on patient outcomes Tech-Enabled Innovation: Hands-on experience with the latest technologies and medical imaging systems Qualification : B.Sc. in Radiology or Imaging Technology

Position: Data Science Specialist Employment Type: Full-time Location: Bangalore, On-site Experience Required: 1 to 6 years (Mindset > Experience) About the Role: We re seeking a mission-driven, hands-on Data Analytics Specialist passionate about impact. This is not a typical analytics role you will drive key business metrics across clinical operations, stakeholder reporting, and automation. Collaborate closely with leadership, radiologists, operations, product teams, and AI engineers to ensure every decision is data-driven, actionable, and scalable. If you thrive on building dashboards, automating processes, streamlining pipelines, and driving growth through insights, this is your playground. Key Responsibilities: Own Business KPIs: Take full ownership of company-wide metrics, ensuring their accuracy, relevance, and actionability through stakeholder alignment. Data Engineering: Build and optimize ETL/ELT pipelines integrating data from Postgres, ClickHouse, and other sources. Dashboards & Reporting: Design and maintain intuitive dashboards (Metabase, Power BI, Tableau, Google Data Studio) that stakeholders actively use. Backend Data Transformation: Write clean, reusable code to convert raw data into actionable insights. API Development: Build and maintain internal APIs to serve analytics data to frontend and production systems. Email Automation: Develop real-time and scheduled email reports delivering dynamic insights to stakeholders. Spreadsheet Expertise: Automate and manipulate complex data in Excel/Google Sheets for detailed analysis and reporting. AI & Automation: Collaborate with AI teams to integrate predictive algorithms and automate analytics workflows. Business Acumen: Develop deep understanding of the teleradiology ecosystem clinical workflows, operations, financials, and tech platforms. Proactive Collaboration: Identify data gaps, flag inconsistencies, recommend improvements, and work closely with leadership. Required Skills: Strong Python skills for data analytics (Pandas, NumPy, FastAPI, Jupyter, etc.) Proficient in SQL (ClickHouse, PostgreSQL) with experience optimizing queries End-to-end dashboard ownership from data modeling to UI presentation Experience building or integrating APIs for analytics Advanced spreadsheet skills and formula-driven reporting Experience working with AI/ML models in applied settings (preferred) Hands-on backend data transformations, version control, and automation Familiarity with full-stack development frameworks (bonus) Bonus / Nice to Have: Exposure to dbt, Airflow, ChromaDB, Streamlit, Plotly Knowledge of data privacy, compliance, and healthcare analytics Experience building analytics platforms for SaaS or health-tech companies Mindset We re Looking For: 10x Hustler: Ready to learn fast and go the extra mile to solve problems. Obsessed with Accuracy: Data must be flawless before release. Extreme Ownership: Proactive in driving results without waiting for instructions. Fast Learner: Able to pick up new tools and concepts quickly. Business First, Code Later: Focused on impact, not just coding. Be part of India s fastest-growing teleradiology platform Direct access to leadership and real-world business impact Build game-changing analytics systems and influence strategy Gain exposure to AI, automation, product, and operations in one role Clear ramp-up roadmap and growth plan Expectations in First 3 Months: Build an end-to-end dashboard from scratch Clean up at least one messy data pipeline Automate a stakeholder email update Validate accuracy across critical business metrics Understand full-stack platform structure and propose an improvement

AI-ML Technologist Bangalore, India Location: Bangalore Experience: 3 to 10 Years Job Role: AI-ML Technologist Industry: IT Software / Artificial Intelligence & Machine Learning Job Summary: We are looking for a highly skilled AI-ML Technologist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision. The ideal candidate will have hands-on experience in developing intelligent solutions using Python and other programming languages and frameworks. Key Responsibilities: Develop and deploy AI/ML models for various applications including Natural Language Processing (NLP), Computer Vision, and Cognitive Computing Design and implement deep learning architectures such as RNN, LSTM, and Reinforcement Learning algorithms Process and analyze diverse data types including text, speech, images, videos, and real-time streams from IoT devices and sensors Collaborate on AI system architecture and design using UML and related tools Utilize AI/ML frameworks such as TensorFlow, PyTorch (Torch), and Caffe for model development and training Apply cognitive search techniques and build scalable AI-driven applications Required Skills: Strong programming skills in Python, with experience in other languages like Java, C/C++, or R Proven experience with AI/ML frameworks: TensorFlow, PyTorch, Caffe, or similar Deep understanding of Deep Learning, Recurrent Neural Networks (RNN/LSTM), and Reinforcement Learning Expertise in Natural Language Processing (NLP) and Computer Vision technologies Experience handling large-scale and multi-modal data from various sources such as text, speech, images, video, and IoT streams Solid foundation in Machine Learning, Cognitive Computing, and Artificial Intelligence principles Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms for AI/ML deployment (AWS, Azure, GCP) Work on cutting-edge AI and ML technologies impacting real-world applications Collaborate with a team of experts in a fast-paced, innovation-driven environment Opportunities for continuous learning and career growth in AI/ML domain Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Sr. Software Engineer, Search Relevance (Applied AI) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team to develop and improve ML-powered search relevance systems. You will work on enhancing search ranking, query understanding, and building evaluation frameworks to enable scalable, seamless search experiences across millions of data assets on the platform. Key Responsibilities Develop and deploy ML/NLP-based relevance models integrated with Databricks products. Design automated pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation. Collaborate with product managers and cross-functional teams to innovate in search and discovery features. Build robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 6+ years of experience developing large-scale search relevance systems or impactful research. Experience applying Large Language Models (LLMs) to search relevance. Expertise in one or more of: query understanding, NLP, text mining, recommendations, personalization, discovery, conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects a plus. Work with cutting-edge AI models and a world-class team to shape the future of AI-driven data products. Databricks powers data intelligence for thousands of organizations globally and fosters an environment of innovation and collaboration. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Sr. Credit Manager (Underwriting) Location: Bengaluru, India Employment Type: Full-Time Experience: 4 8 Years About OXYZO Financial Services Ltd. OXYZO Financial Services Ltd., part of the OfBusiness Group, is a fast-growing Fintech NBFC specializing in B2B lending for SMEs and Emerging Corporates. Headquartered in Gurugram, with a presence in 20+ cities across India, OXYZO has built a robust financial portfolio with 8,000 Cr AUM and 300 Cr PAT, backed by marquee investors including Creation Investments, Matrix Partners, Norwest, Tiger Global, and Alpha Wave. Role Overview We are seeking a dynamic and detail-oriented Sr. Credit Manager (Underwriting) to lead credit evaluation and risk analysis for SME and corporate loan proposals. Based out of Bengaluru, you ll play a pivotal role in credit appraisal, policy adherence, and risk mitigation across unsecured and secured lending. Key Responsibilities Underwrite and Appraise credit proposals in line with internal policies and turnaround time (TAT). Conduct deep-dive Financial Analysis, including P&L, balance sheet, ratio, and cash flow assessments. Perform Banking Analysis: identify anchors, repayment trends, credit behavior, and working capital cycles. Lead Personal Discussions (PDs) to assess borrower intent, business viability, and ground-level insights. Review Statutory Filings: Analyze GST returns, tax filings, and potential liquidity issues. Execute Legal & Background Checks to identify red flags or compliance issues. Recommend loan approval/rejection decisions based on merit, data, and risk perception. Collaborate with Sales, Risk, Operations, and Cross-sell Teams to facilitate end-to-end case closure and business enablement. Perform Portfolio Analysis to identify risk trends, exposure limits, and policy recommendations. Candidate Profile Educational Background: Strong academic credentials in Finance, Accounting, or Business. Experience: 4 8 years in Credit Underwriting, preferably in SME Lending, NBFC, or Commercial Banking. Strong analytical, judgmental, and communication skills. Highly self-driven, agile, and capable of working in a fast-paced, target-driven environment. Fluency in English and Kannada. Comfortable with field-level due diligence and travel as needed. Fast-Track Career Growth Step into high-impact, decision-making roles early in your journey. Ownership & Autonomy Take full charge of credit decisions and business outcomes. Exceptional Peer Group Work with some of the smartest minds in fintech and lending. High-Impact Work Shape credit strategy for underserved and high-potential SME segments. Competitive Pay Attractive compensation structure with performance-linked rewards. Culture That Thrives A high-energy, mission-driven workplace.

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

Investigator Payments Analyst Location: Bengaluru Job Overview: The Investigator Payments Analyst is responsible for supporting the delivery of all required start-up contracting activities for selected sponsors, studies, or multi-protocol programs. This includes pre-award activities and providing essential operational and financial contracting support. The role ensures compliance with sponsor requirements, regulatory guidelines, and project timelines. Essential Functions: Grant Estimates & Proposal Support: Develop simple investigator grant estimates and proposal text to support the proposal development process. Contracting Tools & Systems: Utilize and maintain contract and budget templates and contracting systems, tools, processes, and training materials for selected sponsors, ensuring alignment with the Scope of Work and Project Plan. Collaboration & Communication: Coordinate with sponsors, stakeholders, and RSU regions to ensure successful delivery of projects in compliance with sponsor requirements and the RSU Management Plan. Operational & Financial Support: Provide operational and financial contracting support to facilitate business development and efficient initiation and maintenance of clinical trials, ensuring compliance with regulatory requirements. Documentation Support: Assist in creating and reviewing scientific, technical, and administrative documentation to support business development and enable study initiation and maintenance. Contracting Intelligence: Contribute to the collection, interpretation, analysis, and dissemination of contracting intelligence for assigned studies and the company. Efficiency & Reporting: Ensure contracting efficiency and adherence to project timelines and financial goals, and report on performance metrics and out-of-scope activities. Compliance & Quality Standards: Ensure compliance with contract management and quality standards, providing administrative and operational support to investigators and managers as required. System & Database Management: Accurately complete and maintain internal systems (including CTMS), databases, tracking tools, timelines, and project plans. Qualifications: Education: Bachelor's degree required. Experience: At least 1 year of relevant experience, including demonstrable experience as a contract negotiator or equivalent combination of education, training, and experience. Skills & Knowledge: Negotiation & Communication: Strong negotiation and communication skills to facilitate contract discussions and maintain professional relationships with sponsors. Interpersonal Skills: Ability to work effectively in teams and with internal and external stakeholders. Technical Writing: Strong technical writing skills for creating and reviewing proposals and documentation. Clinical Trial Knowledge: Understanding of clinical trial environments and the drug development process. Regulatory Knowledge: Knowledge of GCP/ICH guidelines, applicable regulatory requirements, and SOPs. Organizational Skills: Excellent organizational and planning skills for managing contracting activities. Software Proficiency: Strong knowledge of Microsoft Office and other relevant software tools. Contract Management: Good understanding of clinical trial contract management, including pricing models, proposals, and budgets. Additional Skills: Ability to interpret pricing models, prepare proposals, bid grids, and budgets. Ability to work in a matrix team environment and build effective working relationships with sponsors, co-workers, and managers. Ability to exercise independent judgment when negotiating contracts and making decisions. This role offers an exciting opportunity for individuals who have a strong foundation in contract negotiation and management, along with an understanding of the clinical trial landscape. If you are a detail-oriented, proactive individual with a passion for working in the healthcare and clinical trial industries, we encourage you to apply. Qualification : Bachelor's degree required.

Technical Lead-Base Level (CTMS Setup) Location: Bengaluru (100% Home-based role) Job Overview: The Technical Lead will be responsible for developing, populating, and supporting templates related to clinical trial payments in the Clinical Trial Management System (CTMS) and other applicable payment systems. The role includes providing assistance and support to Contract & Centralized Services (CCS), business partners, and stakeholders in the use of CTMS for clinical trial payments. This is a fully remote position. Key Responsibilities: CTMS Payment Support: Support the study team training on CTMS payment processes and maintain data entry completeness for clinical trial payments. Issue Resolution & Tracking: Assist with complex issue resolution, resolve failed payments, track issue statuses, and attend meetings to review ongoing issues. Study Setup & Collaboration: Ensure proper study setup in CTMS, collaborate with business partners and stakeholders to address issues and ensure alignment with study goals. Template Creation & Revision: Create or revise payment templates in the CTMS and ensure their accuracy. Issue Management: Support issue resolution via the SAM tool, participate in team meetings, and provide support to other CCS CTMS regions. Adherence to Guidelines: Ensure that all services provided comply with client SOPs, WIs, policies, local regulatory requirements, and ICH-GCP guidelines. Additional Deliverables: Assist with any additional deliverables as assigned to meet project goals and ensure seamless study operations. Qualifications: Education: Bachelor's degree or equivalent in appropriate scientific or business disciplines. Experience: 2-4 years of experience in the pharmaceutical or clinical research industry, specifically in clinical trial payments, pricing, or budgeting. CTMS Experience: Strong hands-on experience with Clinical Trial Management Systems (CTMS) is a must; familiarity with EDC (Electronic Data Capture) systems is a plus. Communication Skills: Fluent in English, with excellent oral and written communication skills. Compliance Knowledge: Familiarity with healthcare compliance and other relevant regulations (e.g., HIPAA, FCPA, Safe Harbor, etc.). Analytical Skills: Strong analytical abilities and problem-solving skills to address challenges effectively. Cross-Functional Collaboration: Ability to work effectively in cross-functional teams and interact with various levels of the organization. PC & Database Management Skills: Proficiency with MS Office suite and database management tools. Work Style: Self-motivated with the ability to work independently and accomplish substantial tasks with minimal supervision. Virtual Work Experience: Previous experience working in a virtual environment and collaborating remotely. Desired Attributes: Innovative Spirit: Ability to bring forward creative solutions to complex problems. Interpersonal Skills: Strong ability to collaborate and maintain positive working relationships with team members and stakeholders. This position offers an exciting opportunity for an individual with a strong background in CTMS, clinical trial processes, and problem-solving abilities, seeking to work in a dynamic and fully remote environment. If you are a motivated professional with experience in clinical trial management and payments, we encourage you to apply. Qualification : Bachelor's degree or equivalent in appropriate scientific or business disciplines.

Description Johnson & Johnson is currently seeking a RWD Data Scientist, to join our Data Science and Digital Health function Innovative Medicine Research & Development located in Hyderabad/ Bangalore, India. Remote work may be considered case-by-case and if approved by the Company. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ . The RWD Data Scientist, will work with real world data sets to identify cohorts using complex queries in order to inform site identification strategies, diversity planning, patient journeys and protocol optimization. Working with the Director, Global Data Science, Portfolio Management, you will use your deep RWD expertise and pharmaceutical industry knowledge to advance the use of real-world data to improve clinical trial productivity and efficiency. Major responsibilities include building complex cohort queries in SQL against multiple differently formatted databases. Building sophisticated and informative visualizations for study teams including heat maps, Sankey diagrams, and other charts. Major responsibilities include cohort creation, site list and diversity analysis, building visualizations for patient journeys and localization, and process automation for cohort creation. Responsibilities: Act as a hands-on cohort builder with SQL queries against targeting differently formatted data sets. Creating and integrating site lists with information about physicians, practice sites, patient counts, diversity, and other metrics used in site selection. Supporting the creation of diversity plans. Creation of RWD study dashboards Build visualizations for cohort such as heat maps, Sankey diagrams. Participate in project teams and collaborate working closely with data science, and clinical study teams to optimize queries and create desired output. Qualifications Master s degree in a quantitative field such as computer science, epidemiology (preferred), computational biology, statistics, or a related discipline. At least 3 years of relevant experience in healthcare or life sciences industry is required At least 3 years of relevant hands-on data science experience in an R&D environment, commercial, medical affairs, scientific affairs and/or is required Familiarity with medical coding (ICD-10, LOINC, SNOMED, NDC, etc.)_ Familiarity with large datasets, understanding of data analysis workflows, and/or knowledge of querying languages such as SQL is required. Handling of healthcare relevant datasets, such as EHR, insurance claims or registry data, is required. Proficient with one or more programming language such as Python (preferred), R, C++, or Java is required. Experience with visualization software/tools such as R, Spotfire, Tableau, etc. is preferred Strong problem-solving skills with a solution-oriented mindset Excellent communication, interpersonal, and written skills are required Qualification : Masters degree in a quantitative field such as computer science, epidemiology (preferred), computational biology, statistics, or a related discipline.

Job Purpose: The Director Process Management will be accountable for overseeing and optimizing assigned end-to-end business processes within Global Clinical Operations (GCO) to drive efficiency, compliance, standardization, and continuous improvement across the organization. They will lead and work collaboratively with cross-functional teams to identify areas for process improvement & innovation, implement best practices, control process health & compliance, and ensure processes align with GSK s strategic goals. Key Responsibilities: The responsibilities listed below outline the scope of the position. The application of these tasks may vary, based upon evolving business needs. As the Global Process Owner for assigned processes lead the design, maintenance, and continuous improvement of these end-to-end processes. Ensure these processes comply with regulatory requirements, are aligned with GCO s strategies, consider innovative approaches being developed in the industry, drive efficiency, and are well defined. Ensure that written standards are developed and maintained as needed to support the process and that written standards can be clearly understood by end-users. Provide necessary information and training to help users understand and implement these processes effectively. Define and implement process oversight strategy with key performance indicators, in-process controls, management monitoring and end-user feedback. Establish benchmarks and conduct periodic review of performance metrics to ensure effectiveness, efficiency, and compliance. Report process health and compliance to the relevant stakeholders proactively and take appropriate measures where deficiencies are identified. Influence and engage with the organization by building a strong network with stakeholders, partners, and subject matter experts to understand their drivers and needs along with broader organizational goals. Use these insights to craft alignment, drive meaningful change and improve end-user experience. Define and manage process change roadmaps, aligning priorities with system updates and innovations to address evolving business needs, manage risks or interdependencies, and implement improvements at scale. Lead strategy, planning, execution, and implementation of process change projects, ensuring improvements are achieved through a combination of process-people-system solutions. Partner with subject matter experts and support roles to deliver a comprehensive solution package that includes the end-to-end process itself, written standards, training, communication, change management, implementation, and monitoring plans. Maintain current knowledge of global regulations and guidance, global regulatory expectations, regulation intelligence and industry standards pertaining to the assigned processes. Proactively assess impact of any new regulations on assigned process and ensure ongoing compliance. Proactively educate themselves in evolutions and innovations across the industry and evaluate how they could positively benefit the effectiveness, efficiency or compliance of the process. Develop and align proposals with the appropriate stakeholders to drive process innovation that is aligned with GCO s strategic priorities and stakeholder needs. Maintain personal readiness to respond to internal audits and regulatory inspections, be the point of contact and interact with inspectors, and provide expert advice to respond to audit observations. Represent GSK in external forums to influence the external ecosystem in shaping industry-leading practices and development of innovative methodologies Basic Qualifications Bachelor s degree in Scientific discipline. Extensive experience in Pharmaceutical or Biotech industry working in Clinical Operations, Operational Excellence, or a related field. Excellent understanding of clinical operations processes, and ICH/GCP and global regulatory guidelines for drug development and approval processes with specific expertise in informed consent, clinical trial supplies and distribution of clinical safety documents. Experience leading major projects to completion and driving cross-functional improvements. Strong strategic and critical thinking, problem solving, influencing and decision-making capabilities. Forward-thinking and visionary mindset to modernize approach to clinical processes and leverage technology. Demonstrated matrix team leadership to deliver results. Demonstrated cross-functional collaborator with experience in building networks of partners and stakeholders, and broadly engaging with expert communities. Effective communication skills with ability to communicate and influence. Preferred Qualification Advanced degree in Scientific discipline Qualification : Bachelors degree in Scientific discipline.

In this role the position will be based in India however will be working with teams in Japan and supporting the delivery of work in country. This would involve direct liaison with project teams, investigative sites and sponsors as might be required. All the communications would be expected to be done in Japanese and English- both written and verbal. Job Purpose: The role of the Clinical Operations Assistant (COA) is to maintain the paper and electronic Central Files for Clinical Operation, ensuring efficiency, accuracy and quality. Depending on the location of the role may include the tracking, scanning, filing, entry and return of Case. Report Forms to clients for assigned projects, upload and naming of documents to the electronic document management system, EDC User Management activities and activities associated with Impact Harmony, as appropriate. COA is also to support all site management team members on local billable administrative tasks and assist with QC of Central files. Key Accountabilities: Track, scan, code, and apply naming convention and send documents to the relevant study Work In Progress (WIP) area and Central File (CF) area of PMED as per the Central File Maintenance Plan. Filling and Archiving paper wet-ink documents in the Central Files office location as per the Central File Maintenance Plan (CFMP) Photocopy, print distribute and retrieval of documents, as needed Maintain basic quality check procedures to ensure accurate maintenance of documents Tracking/maintenance of the Clinical Trial Management System (CTMS) and study specific site trackers (Client additional request only) Monitoring of the status of systems and processes (e.g. annual reporting obligations, Site Compliance regarding Safety Information System (SIS) etc.) to ensure compliance Organization of translations of study document (e.g. contacting translation company, requesting approval via Oracle, following up with translation company to ensure timely delivery) Payment/invoice processing including internal follow up with payment specialists in Finance Courier shipment of study document to the sites, vender and clients Collection of internal signatures for site documents (e.g. confidentiality agreement or clinical site agreements) within PAREXEL Skills: N2, N3 fluency in Japanese (reading, writing, and speaking) Sound problem solving skills. Experience working in CROs or Life Sciences industry preferred. Support with document collection, customization, review for clinical trials being conducted in Japan. Liaise with sites & investigators on assigned projects to facilitate conduct and delivery. Work closely with project management teams on all assigned tasks. Ensure quality and compliance in all clinical research activities. Ability to interact professionally within a client organization. Ability to prioritize multiple tasks and achieve project timelines; utilizing strong analytical skills to make decision autonomously due to the unpredictable nature of the issues that arise. Strong interpersonal, verbal, and written communication skills. Sense of urgency in completing assigned tasks and ability to assist others to meet study/ country deliverables. Effective time management in order to meet study needs, team objectives, and department goals. Knowledge and Experience: Site Management experience or equivalent experience in clinical research, with understanding of clinical trials methodology and terminology Education: Educated to degree level (biological science, pharmacy, or other health-related discipline preferred) or equivalent nursing qualification or other equivalent experience N2, N3 fluency in Japanese (reading, writing, and speaking) Qualification : Educated to degree level (biological science, pharmacy, or other health-related discipline preferred) or equivalent nursing qualification or other equivalent experience

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Senior Regulatory Affairs Specialist Location: Bangalore Company: AliveCor About AliveCor & The Opportunity AliveCor is a pioneer in **over-the-counter medical ECG devices**, dedicated to making heart health accessible. The company s **FDA-cleared medical-grade hardware and software** have enabled millions of heart health measurements, making a life-saving impact. We are seeking a **Senior Regulatory Affairs Specialist** to join our growing team. This is a critical role focused on **shaping regulatory strategy** for innovative mobile health technologies, managing product submissions, and ensuring compliance with international regulatory standards, including **ISO 13485 and FDA** Quality Systems. Role & Responsibilities As a Senior Regulatory Affairs Specialist, you will: Collaborate & Execute Regulatory Strategies: Work with product teams to **develop and execute global regulatory strategies** for registrations in the US, Europe, and other key regions. Manage Regulatory Submissions: Participate in the preparation and review of **global regulatory submissions**, including **510(k), de novo**, and other medical device filings. Support Government Interactions: Serve as the point of contact for regulatory agencies such as the **FDA, EU MDR**, and other international authorities, ensuring timely product approvals and licenses. Global Market Registrations: Drive product **registrations and renewals** for worldwide markets, supporting distributors with compliance documentation. Review & Approve Technical Documents: Assist in reviewing advertising, promotional materials, and technical documentation to ensure **compliance with applicable regulations**. ISO 13485 & FDA Compliance: Help implement and maintain an **ISO 13485 and FDA-compliant Quality Management System (QMS)**. Product Development Support: Collaborate with cross-functional teams (Engineering, Product, Quality) to support regulatory requirements during product development and design changes. Post-Market Compliance: Assist in post-market regulatory actions, including compliance with **reporting requirements and audits**. Requirements & Qualifications Experience & Education Experience: **4+ years in Regulatory Affairs within the medical device industry.** Education: Bachelor s degree in Science, Engineering, Math, or a medical field, or equivalent experience. Regulatory Experience with AI/ML: Experience in regulatory affairs for **software devices with AI/machine learning algorithms (SaMD)**. Core Regulatory Knowledge Global Regulatory Knowledge: Experience with **EU Medical Device Regulations (MDR)** and familiarity with regulatory processes in the US, EU, and Asia-Pacific regions. Regulatory Submissions: Experience preparing **510(k) submissions, pre-submissions, or de novo submissions** for medical devices. Skills Project Management: Ability to manage small projects with a focus on being organized, independent, and results-oriented. Analytical & Communication Skills: Excellent analytical, communication, and team collaboration skills, with a keen **attention to detail**. Preferred Qualifications Advanced Degree: Master s degree or regulatory affairs certifications such as **RAPS** (Regulatory Affairs Professionals Society). International Submissions: Experience in international submissions, especially in Asia-Pacific or LATAM regions. Perks & Benefits Working Model: Hybrid Working Model (Flexibility to work both remotely and in the office). Family Leave: Comprehensive Family Leave policies. Medical Benefits: Above-market family floater medical insurance, including coverage for parents/in-law parents. Office Perks: Complimentary lunch provided at the office and convenient metro connectivity. Qualification : Bachelors degree in Science, Engineering, Math, or a medical field, or equivalent experience

Position: Vendor Management Associate Location: Bengaluru Department: Partner Operations Job Type: Full-Time About Laundryheap: Laundryheap is a fast-growing tech start-up that is transforming the laundry and dry cleaning industry. We offer a revolutionary service that picks up, cleans, and delivers laundry within 24 hours, and are currently available in 14 markets worldwide. After our successful launch, we are expanding our team to drive further growth and continue our global expansion. The Role: As a Vendor Management Associate, you will be a key player in supporting and enhancing the performance of our partner facilities across various regions. Reporting directly to the Compliance Manager, you will be responsible for ensuring smooth daily operations, resolving partner issues, and maintaining high-quality standards and scalability within our partner network. Your role will be crucial in driving performance, consistency, and operational excellence within our partner operations. Key Responsibilities: Oversee Daily Operations: Ensure consistent, high-quality service delivery from partner facilities, monitoring operations to maintain Laundryheap's standards. Partner Onboarding & Offboarding: Manage the end-to-end process for onboarding and offboarding partners, ensuring they meet operational standards and align with our business goals. Monitor & Support Partner Performance: Track and monitor Key Performance Indicators (KPIs) and partner performance, ensuring that operational targets are consistently met. Provide ongoing support to partners as needed. Conduct Regular Check-ins & Reviews: Lead virtual check-ins with partners to review their progress, address concerns, and reinforce expectations. Conduct monthly performance reviews covering key metrics such as capacity, quality, complaints, payments, and audit outcomes. Issue Resolution & Escalation Management: Proactively resolve partner issues and manage escalations to ensure minimal service disruptions and optimal partner satisfaction. Training & Development: Identify training needs for both new and existing partners and ensure that performance standards are consistently met. Organize and deliver training when necessary. Cross-Functional Collaboration: Collaborate with internal teams (e.g., Regional Associates, Operations) to support order processing, inventory management, and administrative tasks, ensuring smooth operational flow across functions. Continuous Improvement: Contribute to cross-functional initiatives, process improvements, and sourcing strategies to enhance overall partner performance and operational efficiency. Skills & Requirements: Strong Communication & Relationship Management: Excellent interpersonal skills with the ability to build and maintain positive relationships with internal teams and external partners. Analytical Ability: Strong analytical skills, with the ability to interpret data and present actionable insights to improve operational processes. Organizational Skills: Highly organized, proactive, and detail-oriented, with the ability to multitask and stay focused in a fast-paced, dynamic environment. Accountability & Adaptability: Strong sense of ownership and accountability, with the ability to adapt to changing priorities and work autonomously. Language Skills (Good to Have): Proficiency in French, Spanish, Hindi, Urdu, Arabic, or Bengali is a plus. Preferred Experience: CRM & BI Tools: Familiarity with CRM platforms, Business Intelligence tools, or Google Data Studio for performance tracking and reporting. International Operations: Exposure to managing international operations or B2B commercial processes, preferably in high-growth environments. Relevant Industry Experience: 2+ years of experience in a high-growth, operations-focused role. Experience in the laundry or dry cleaning industry is a plus. At Laundryheap, we offer a fast-paced, collaborative environment where you can take ownership of your role, grow your skills, and make a real impact from day one. If you're looking to build your career in operations and be part of a supportive and ambitious team, we'd love to have you on board.

Assistant Manager / Deputy Manager Indirect Sourcing Location: Bengaluru Experience: 6+ Years Industry: Automotive / Electric Vehicles Employment Type: Full-time Company: Ultraviolette Automotive Pvt. Ltd. Join the Charge. Create the Future. At Ultraviolette, we re not just building electric vehicles we re building the future of mobility. From India s fastest electric motorcycle to the world s most advanced electric scooter, we are reimagining performance, sustainability, and design. We re a collective of engineers, creatives, designers, and bold thinkers united by one goal to deliver a new era of intelligent electric mobility. If you re ready to drive change, challenge convention, and leave a lasting impact, this is where your ambition meets opportunity. Role Overview: As an Assistant Manager / Deputy Manager Indirect Sourcing, you will lead procurement strategies for all non-production purchases including capital goods, IT systems, marketing services, infrastructure, real estate, and more. You will play a critical role in vendor management, cost control, contract negotiations, and ensuring timely and quality sourcing that aligns with Ultraviolette s strategic goals. Key Responsibilities: Lead indirect procurement activities across categories like: Capital Goods & Machinery IT Hardware, Software, and Services Marketing & Merchandise Real Estate, Civil Contracts, and Interiors Identify, evaluate, and onboard suppliers and service providers in line with company standards. Conduct market and industry scans to identify new sourcing opportunities. Prepare and lead complex negotiations and contract finalizations with suppliers and service vendors. Manage procurement of high-value contracts, ensuring compliance with internal policies and legal terms. Implement cost-effective sourcing strategies and continuous value engineering. Drive supplier audits, quality checks, and service-level agreements. Ensure compliance with Indian Indirect Taxation, International Contract T&Cs, and procurement best practices. Collaborate cross-functionally with finance, operations, legal, and engineering teams. Maintain detailed reports, supplier performance records, and procurement documentation. Provide regular updates and insights to senior leadership on sourcing performance and risks. Willingness to travel for supplier visits, audits, and negotiations as required. Requirements: Education: Essential: Bachelor s Degree in Electrical, Electronics, Computer Science, or a related field. Experience: Minimum 6 years of hands-on experience in indirect sourcing or procurement. Proven track record in handling complex negotiations and high-value contracts. Strong vendor network and sourcing experience across multiple indirect categories. Technical Skills: Sound knowledge of: Indian Indirect Tax laws International contract terms and conditions Procurement tools and ERP systems Familiarity with DFM/DFT, cost engineering, and supplier auditing. Soft Skills: Strong communication (written and verbal) Analytical thinking and problem-solving Collaborative and cross-functional mindset High integrity and professionalism Strong drive for results and continuous improvement Preferred Qualifications: Experience working in automotive, EV, or high-tech manufacturing industries. Background in legal or IPR-related matters is an added advantage. Understanding of sustainability and ESG-focused sourcing will be a plus. Work on products that define the future of mobility Collaborate with some of the sharpest minds in the EV industry Fast-paced, innovation-driven work environment Competitive compensation and growth opportunities If you re ready to accelerate your career and electrify the future apply now. Qualification : Bachelors Degree in Electrical, Electronics, Computer Science, or a related field