Feature Engineering Jobs in Mumbai

Full Stack Developer Location: Mumbai Experience: 3 to 6 Years Qualification: Graduate Employment Type: Full-time About the Role We are looking for a highly skilled and passionate Full Stack Software Engineer to join our growing technology team. The ideal candidate will have deep expertise in Python (Django/FastAPI) on the backend, solid hands-on experience with ReactJS on the frontend, and familiarity with MongoDB and SQL databases. This role is ideal for someone who enjoys building scalable systems, designing REST APIs, and delivering full-cycle web solutions from development to deployment. Key Responsibilities Backend Development Develop scalable backend services using Python and frameworks like Django or FastAPI. Design and implement RESTful APIs that are secure, well-documented, and performance-optimized. Create and maintain automated tests for APIs (using Postman, pytest, etc.). Frontend Development Build interactive, user-centric UIs using ReactJS, including API integration, component-based architecture, and state management. Database Management Work with both MongoDB (NoSQL) and SQL (PostgreSQL/MySQL) databases. Design schemas, optimize queries, and ensure high data integrity and performance. DevOps & Cloud Deployment Deploy applications using Docker and manage deployments on AWS (EC2, S3, RDS, Lambda, etc.). Work with CI/CD pipelines to automate testing and deployment workflows. Monitoring & Logging Use tools such as ELK Stack, Prometheus, Grafana, or AWS CloudWatch for monitoring application health and logs. Support production environments, debug issues, and ensure application uptime. Collaboration & Best Practices Work closely with product managers, QA engineers, and designers to deliver features on time. Conduct peer code reviews, write clean and maintainable code, and follow secure coding practices. Required Skills Technical Proficiency Strong command of Python, especially with Django or FastAPI. Frontend development with ReactJS. Experience in REST API design and implementation. Proficient in MongoDB, PostgreSQL, or MySQL. Knowledge of ORMs, query tuning, and schema design. DevOps & Cloud Hands-on experience with AWS services. Experience with Docker and CI/CD pipelines. Testing & Monitoring Familiarity with Postman, pytest, and logging tools (e.g., ELK, Prometheus, Grafana). Soft Skills Strong problem-solving and debugging capabilities. Solid understanding of data structures and algorithms. Effective communication and team collaboration skills. Comfortable using Git and standard version control workflows. Preferred Tools & Technologies Languages/Frameworks: Python (Django/FastAPI), ReactJS, JavaScript Databases: MongoDB, PostgreSQL, MySQL Cloud/DevOps: AWS (EC2, S3, RDS, Lambda), Docker, CI/CD Tools: Postman, Git, ELK, Prometheus, Grafana Be part of a collaborative and fast-paced engineering team Build products that scale and impact users directly Opportunity to work with the latest technologies in cloud, DevOps, and frontend/backend stacks If you're a proactive developer who thrives in solving real-world problems through scalable software solutions, we d love to hear from you. Qualification : Graduate

Position Title: Head of Technology / Head of Engineering Location: Mumbai Overview: We are seeking a dynamic and experienced Head of Technology to lead our engineering team and drive the development of innovative, scalable, and high-impact tech solutions. You will be responsible for overseeing infrastructure, internal systems, product architecture, third-party integrations, and the full software development lifecycle from ideation to execution. As a senior leader, you will collaborate closely with cross-functional teams to align technology initiatives with business goals, while fostering a high-performance engineering culture. Key Responsibilities: Leadership & Team Management Lead, mentor, and scale a high-performing engineering team Define clear OKRs and growth plans for team members, including career development and regular coaching Attract, retain, and nurture top engineering talent Set team goals aligned with broader business objectives Technology Strategy & Execution Drive the technical strategy, architecture, and execution of the company s product roadmap Oversee all internal systems to ensure security, reliability, and scalability Own technical decision-making, from high-level architecture to low-level design Evaluate and implement innovative technologies to enhance development efficiency and product performance Cross-Functional Collaboration Work closely with Product, Business Development, and Operations to align technical efforts with strategic objectives Manage third-party integrations and collaborate with external business partners Ensure seamless and scalable partner onboarding and system integrations Project Oversight & Delivery Set realistic timelines, budgets, and KPIs for engineering projects Track and report progress to senior management, stakeholders, and external partners Lead delivery across multiple modules and features, ensuring high-quality output at speed Requirements & Qualifications: 8+ years of hands-on experience in software development and system architecture Strong programming background in at least one of: Python, PHP; knowledge of Go or Java is a plus Experience working with at least one NoSQL database Proven expertise in managing infrastructure on AWS independently for 2 3 years Prior experience reporting to senior leadership, business stakeholders, or investors Successfully led at least one enterprise-grade financial product or project in a senior technical role Strong leadership, strategic thinking, and communication skills Ability to thrive in a fast-paced, dynamic startup or scale-up environment

Engineering Manager Experience: 10+ Years Location: Mumbai Type: Full-Time About Fynd Fynd is India s largest omnichannel retail platform and a multi-platform technology company at the forefront of AI, ML, big data, and retail innovation. Serving over 2,300 brands, we offer a unified system that empowers businesses to streamline online and offline sales, manage inventory, enhance store operations, and elevate customer engagement. Role Overview We re looking for a dynamic Engineering Manager who can lead by example writing scalable, performant code while mentoring high-performing teams. Beyond traditional engineering leadership, we value individuals who embrace AI as a development accelerator, using tools like GitHub Copilot, Cursor, and ChatGPT to enhance productivity across coding, testing, and documentation. As an Engineering Manager at Fynd, you ll take ownership of end-to-end architecture, build web applications, and manage teams across backend and frontend technologies. You ll also play a key role in shaping our cloud-native infrastructure on AWS. Key Responsibilities Lead, mentor, and grow a team of backend and frontend engineers, encouraging innovation and ownership. Architect, design, and deliver scalable backend systems using Node.js and Python. Build responsive and secure frontend applications with React.js, ensuring seamless integration with backend services. Leverage AI tools (e.g., GitHub Copilot, GPT-4, Cursor) to accelerate development cycles scaffolding, testing, debugging, and documenting code. Manage cloud infrastructure on AWS including Lambda, EC2, S3, RDS, API Gateway, etc. Design and optimize databases with MongoDB and PostgreSQL, ensuring performance and reliability. Define and implement engineering best practices across CI/CD, code reviews, testing, security, and deployment. Collaborate cross-functionally with product managers, designers, and DevOps to ship impactful features. Proactively monitor system performance, troubleshoot production issues, and ensure high system availability. Stay on top of emerging technologies and trends to drive continuous improvement within the team and the organization. Requirements Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 10+ years of hands-on software development experience, including 3+ years in engineering leadership. Expertise in Node.js, Python, and React.js. Strong experience in MongoDB, PostgreSQL, and scalable data modeling. Proven track record in cloud-native architecture and microservices, with hands-on AWS experience. Familiarity with DevOps practices, CI/CD pipelines, Docker, and Kubernetes. Excellent problem-solving skills and ability to make sound technical decisions. Strong communication, mentorship, and team-building skills. Experience in leading engineering teams in high-growth, fast-paced environments. Growth: We re growing fast across products, markets, and technologies. As a part of Fynd, you ll have opportunities to lead new initiatives, expand into leadership roles, and be part of a company that invests in your growth. Flex University & Learning Wallet: Access in-house courses to upskill or pursue external certifications with full reimbursement your learning is our priority. Culture: Team bonding, events, and celebrations are part of our rhythm weekly, quarterly, and annual. Wellness: Comprehensive Mediclaim for you, your spouse, kids, and parents. Access to licensed therapists to support mental health and work-life balance. Work Culture We work from our Mumbai office 5 days a week to foster collaboration and team synergy. If you re excited to build, lead, and innovate at the intersection of tech and AI we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Job Title: BIM Product Specialist Digital Construction Technology Location: Mumbai Qualification: B.E./B.Tech/M.E./M.Tech/MCA Experience: Minimum 5 Years Role Overview: We are looking for a dynamic and technically skilled BIM Product Specialist to support our digital construction initiatives, with a strong focus on 4D and 5D Building Information Modeling (BIM). This role blends product expertise, client interaction, and solution delivery, acting as a key link between the product development team and end users. The ideal candidate will bring hands-on BIM experience, a deep understanding of construction technology, and strong pre-sales and client-facing capabilities. Key Responsibilities: Drive product sales, pre-sales activities, and market development for BIM solutions, particularly those involving 4D (time) and 5D (cost) capabilities. Engage with clients to understand their pain points and demonstrate how BIM-based solutions can address their specific project needs. Participate in the product development lifecycle to understand product features and communicate technical details effectively to clients and internal teams. Conduct Proof of Concept (POC) sessions and demonstrations tailored to client-specific scenarios using BIM 4D/5D tools. Collaborate with multiple internal and external stakeholders, including sales, product, engineering, and client teams. Support BIM implementation strategies across client projects by providing technical guidance and solution-based recommendations. Analyze client feedback and industry trends to help refine product features and ensure market relevance. Required Skills & Competencies: Minimum 5 years of experience with BIM technologies, specifically with 4D (scheduling) and 5D (estimation/cost) workflows. Prior experience in pre-sales or product promotion within the construction technology space is highly desirable. Hands-on involvement in BIM project implementation and coordination with BIM teams. Strong understanding of challenges in BIM adoption and the ability to provide actionable solutions. In-depth knowledge of 3D, 4D, and 5D workflows and their integration into digital construction. Proficiency in project scheduling tools such as Microsoft Project (MSP) and Primavera P6. Excellent communication and presentation skills, with proficiency in PowerPoint, Word, and Excel. Deep understanding of digital construction methodologies and emerging technologies in the AEC (Architecture, Engineering, Construction) industry. Qualification : B.E./B.Tech/M.E./M.Tech/MCA

Technical Project Manager Location: Mumbai Function: Project & Program Management Industry: Capital Markets Asset Management & Trading Employment Type: Full-Time Hiring Partner: PSS About the Client: PSS has been exclusively mandated to recruit a Technical Project Manager for one of the world s largest and most respected physical commodities trading groups. Operating across continents, this organization manages the sourcing, storing, transport, and delivery of key raw materials for clients worldwide. They are currently undergoing a major technology transformation to strengthen their terminal management operations and infrastructure. Role Purpose: We are seeking a seasoned Technical Project Manager to lead and deliver complex enterprise software implementation projects focusing on operational enhancements and digital transformation within terminal operations. The ideal candidate brings a deep understanding of agile delivery, infrastructure modernization, and multi-stakeholder coordination across geographies. Key Responsibilities: Project Planning & Delivery: Own and manage end-to-end delivery of key software components under the strategic terminal renovation program. Collaborate with Product Owners, Engineering Leads, and Delivery Managers to ensure robust sprint planning, feature prioritization, and resource alignment. Backlog & Design Management: Oversee the refinement of product backlogs to ensure clear estimation, prioritization, and alignment with both technical and functional goals. Guide Dev, QA, and BA teams to elaborate designs and break down features into implementable user stories. Testing & Quality Assurance: Ensure high-quality delivery with rigorous unit, functional, and regression testing protocols. Drive automation of regression test suites to improve release efficiency. Resource & Risk Management: Monitor team capacity and proactively manage resourcing against delivery timelines. Identify and mitigate project risks; report progress and dependencies to the PMO and executive stakeholders. Stakeholder Collaboration: Build strong working relationships across global offices including Geneva, India, Latin America, and China. Serve as the point of contact between business users, IT architects, and development teams. Competencies & Attributes: Excellent communication and stakeholder engagement skills verbal and written. Meticulous attention to detail with strong analytical and problem-solving capabilities. Ability to navigate change, manage multiple workstreams, and lead under pressure. Strong interpersonal skills with a collaborative and diplomatic approach to global teamwork. Adaptable, agile, and confident in making decisions in a fast-paced, dynamic environment. Able to handle confidential information with discretion and professionalism. Experience & Qualifications: 15+ years of experience in project management, with a strong foundation in structured methodologies and project governance. Proven record in managing complex software deployment projects from initiation through post-launch support. PMP certification or equivalent is a plus. Domain expertise in commodity trading or related sectors is highly desirable. Educational background in Computer Science, Software Engineering, or related technical discipline. Key Stakeholder Relationships: Internal: Product owners, business analysts, architects, developers, and cross-functional IT teams across global hubs (India, Geneva, Argentina, China). External: Implementation partners, vendor teams, and strategic business partners. Work with a global industry leader on a high-impact transformation project. Collaborate with diverse, world-class teams across continents. Take ownership of mission-critical systems that drive operational efficiency. Be at the forefront of digital innovation in commodities trading.

Software Engineer Data Platform Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. Our technology-driven and research-focused culture enables us to solve complex challenges and deliver high-quality returns for our investors. Innovation and collaboration are at the heart of everything we do. Your Future Role at QRT We are seeking a highly skilled Software Engineer to join our Data Engineering team. You will contribute to designing, building, and scaling our data platform with a focus on developing a new data pipeline framework. Your work will directly impact our trading and research capabilities, collaborating with engineers and researchers to create robust, scalable solutions. While prior experience with financial data is a plus, it is not mandatory. We welcome talented developers from diverse backgrounds and provide comprehensive training. Key Responsibilities Design, develop, and maintain scalable and robust data services following best software engineering practices. Write automated tests to ensure reliability and support continuous delivery and integration. Maintain and scale delivery and integration pipelines. Develop reusable libraries and tools to enhance the Data Engineering team s productivity. Collaborate effectively with cross-functional teams, including researchers and engineers, to propose and implement new features in the data platform framework. Your Present Skillset Strong programming skills with a passion for software design and architecture, preferably in Python. Experience with testing frameworks and continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with SQL and relational database concepts. Knowledge of modern data lake and lakehouse technologies such as Apache Iceberg, Delta Lake, or Snowflake. Excellent communication skills and ability to work collaboratively in a small, close-knit team environment. Experience with cloud platforms, preferably AWS. Fluency in English (written and spoken). Work in a technology-driven environment focused on innovation and impact. Equal opportunity employer embracing diversity and inclusion. Supportive culture encouraging professional development and work-life balance.

Principal Engineer Location: Mumbai, India (roles in Andheri East and / or Turbhe) Description We re hiring a Principal Engineer to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding 1.8 billion, and boasts total portfolio sales of over 500 million. The role We re hiring Principal Engineers and Lead Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across Blenheim Chalcot portfolio businesses. These are great opportunities for someone who thrives in hands-on build mode, demonstrates high-impact leadership, and who can scale delivery without losing speed, quality, or ownership. As a key member of our Software Engineering team, you will be instrumental in leading, designing, developing, and deploying robust and scalable products. You will work in close collaboration with customers and cross functional teams in Mumbai and London, to deliver product-led delivery and solutions that really make a difference. Behaviours that we look for Rigorous problem-solving and systems thinking. Decomposes complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures. Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start. Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring. Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery. Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact. Key responsibilities Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include: Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement. Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines. Provide technical guidance and expertise to the team, promoting best practices in engineering. Collaborate with cross-functional teams to understand requirements and deliver effective solutions. Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture. Ensure data integrity and quality across various data sources. Support data-driven decision-making by providing clean, reliable, and timely data. Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data. Conduct exploratory data analysis to uncover patterns and trends. Identify opportunities for process improvement and drive continuous improvement in operations. Stay updated on industry trends, technologies, and best practices in engineering. Opportunity This role offers an excellent platform for experienced engineers to take their career to the next level. You will have the opportunity to make a significant impact on our product roadmap, contribute to scaling our technical capabilities, and work in a dynamic environment that values innovation and continuous learning. About you We are seeking to onboard candidates with a proven track record in engineering, demonstrating strong technical leadership skills and a passion for building high-quality, scalable products. Excellent teamwork, adaptability, and a strategic mindset are essential to being successful in this role. The Ideal Candidate Professional experience in engineering or full-stack software engineering. Proven experience in managing and developing junior engineers. Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java. Extensive experience with database systems, including SQL and NoSQL databases. In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.). Experience with CI/CD practices for data solutions. Proven ability to take ownership over outputs and drive complex data projects to completion. Highly adaptable and comfortable working in ambiguous, problem-solving environments. Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales. Excellent communication, leadership, and collaboration skills. Process We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with a member of our Talent Acquisition team, followed by a meeting with representatives from BC's Engineering Centre of Excellence. Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

AI/ML Developer Location: Mumbai Experience: 5+ years Key Responsibilities: AI/ML Solutions Development: Develop, deploy, and maintain scalable AI/ML solutions tailored to the healthcare industry. Data Preprocessing & Structuring: Collaborate with data engineers and analysts to preprocess, clean, and structure healthcare data for machine learning applications. Model Design & Implementation: Design and implement machine learning models for real-world healthcare challenges like patient readmission prediction, disease progression modeling, and medical image analysis. Production Integration: Integrate AI/ML solutions into production environments, ensuring models are efficient, reliable, and meet client goals. Client Collaboration: Work with healthcare clients to define project requirements and KPIs, ensuring the solution brings measurable value. AI/ML Advancements: Stay up to date with the latest advancements in AI/ML, particularly in healthcare, and integrate new techniques to improve solutions. Regulatory Compliance: Ensure all AI/ML applications meet healthcare regulations (e.g., HIPAA, GDPR) and maintain high standards for patient data privacy and security. Model Monitoring & Optimization: Monitor, fine-tune, and update models post-deployment to maintain optimal performance and adapt to evolving healthcare data. Requirements: Experience: 5+ years in AI/ML, deep learning, and machine learning applications, preferably in the healthcare industry. Technical Skills: Proficiency in Python and/or R, with experience in ML libraries like TensorFlow, PyTorch, Scikit-Learn, etc. Healthcare Data Expertise: Strong understanding of healthcare data types and sources (e.g., EHR/EMR data, claims data, imaging data, genomics). Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and deploying ML models in these environments. Healthcare ML Use Cases: Experience in healthcare-specific ML use cases such as patient outcome predictions, medical image classification, and NLP for clinical notes. Regulatory Knowledge: Strong understanding of healthcare privacy and regulatory standards (e.g., HIPAA, GDPR). Communication Skills: Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical ideas to non-technical stakeholders. Shift Flexibility: Ready to work in shifts to accommodate the global nature of healthcare projects. If you're passionate about developing impactful AI/ML solutions in the healthcare industry and have the required expertise, apply now for the AI/ML Developer position in Mumbai!

Job Title: Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 2 to 3 years Openings: 3 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to derive actionable insights. Implement and optimize deep learning models, including Natural Language Processing (NLP) and computer vision. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training and deployment. Optimize ML models for performance, scalability, and real-time inference. Collaborate with data engineers to build efficient data pipelines. Stay updated with the latest AI/ML advancements and integrate best practices into development. Work closely with cross-functional teams to understand business requirements and deliver AI solutions. Qualifications: Experience: 2-3 years in AI/ML development. Technical Skills: Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. Hands-on experience in deep learning, NLP, and computer vision. Expertise in handling large datasets and data pre-processing techniques. Experience in deploying ML models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for structured and unstructured data (text, audio, video). Knowledge of document processing, Vision AI, Audio AI, and building AI-driven systems using Langchain and Rasa. Experience building AI chatbots and voicebots. Familiarity with DevOps and CI/CD for cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative thinking, with a passion for problem-solving. Qualification : Any Graduate / Post Graduate

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

Job Title: Tech Lead (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 7 to 10 years Openings: 2 What You Will Do: Lead the design and development of scalable, high-performance AI/ML solutions. Define and implement AI/ML architecture and best practices across the team. Guide and mentor the AI/ML team in model development, optimization, and deployment. Work with large datasets to preprocess, analyze, and extract meaningful insights. Develop and optimize deep learning, NLP, and computer vision models. Architect end-to-end AI/ML pipelines, including data collection, model training, and deployment. Implement MLOps practices for continuous integration, deployment, and monitoring of ML models. Leverage cloud platforms (AWS, Azure, GCP) to deliver scalable AI/ML solutions. Collaborate with cross-functional teams to understand business challenges and deliver impactful AI-driven solutions. Stay abreast of the latest advancements in AI/ML and drive innovation within the team. What Qualifications You Will Need: Experience: 7-10 years in AI/ML development, with hands-on experience in designing and architecting AI/ML solutions. Technical Skills: Strong programming skills in Python. Expertise in deep learning, NLP, computer vision, and recommendation systems. Strong knowledge of data engineering, feature engineering, and automation of data pipelines. Experience in deploying AI/ML models on cloud platforms (AWS, Azure, GCP). Familiarity with big data technologies (Spark, Hadoop) and database management (SQL, NoSQL). Proven ability to build and manage end-to-end production-grade AI services. Strong understanding of AI systems architecture. Ownership of solution quality, including functional, technical, performance, and compliance aspects. Hands-on experience with MLOps practices for continuous integration and deployment of ML models. Focus on leveraging AI to improve business outcomes. Deep interest in staying updated with the latest trends in the AI/ML field. Leadership mindset with the ability to guide and mentor developers. Experience with data pre-processing for structured and unstructured data (text, audio, video). Familiarity with document processing, Vision AI, and Audio AI. Expertise in building AI agentic systems using Langchain and Rasa. Experience with AI chatbots and voicebots. Familiarity with DevOps and CI/CD pipelines on cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving skills. Qualification : Any Graduate / Post Graduate

Position Title: Senior Software Engineer Position Summary: We are seeking a highly skilled Senior Software Engineer with a strong background in Java or the MERN stack (MongoDB, Express.js, React.js, Node.js). The ideal candidate will have 4-6 years of hands-on experience in developing and maintaining applications, and will play a key role in designing, developing, and deploying software applications. The Senior Software Engineer will collaborate with cross-functional teams to create scalable and efficient software solutions. Key Responsibilities: Software Development: Design, develop, and maintain large-scale software applications using Java or the MERN stack. Collaboration: Work closely with cross-functional teams to define, design, and implement new features. Design Ownership: Take ownership of high-level and low-level designs for each software application. Code Reviews: Conduct code reviews and provide constructive feedback to team members to ensure code quality and best practices. Performance Optimization: Troubleshoot, debug, and optimize existing applications for performance and scalability. Mentorship: Mentor and guide junior developers, helping them grow their skills and contributing to team knowledge. Stakeholder Collaboration: Work with product managers and other stakeholders to understand requirements and deliver optimal solutions. Continuous Learning: Stay up to date with new technologies and trends, acquiring certifications as needed to meet project demands. AI/ML Exposure: Any exposure or experience with AI, ML, or Data Science will be an additional advantage. Required Skills and Qualifications: Proficiency in Java/MERN Stack: Strong experience in designing, developing, and maintaining software applications using Java, Python, or Node.js. Front-End Development: Expertise in React.js (knowledge of Angular is an added advantage). Database Knowledge: Experience with RDMS (Oracle, SQL Server, Postgres) and NoSQL databases like MongoDB. Web Technologies: Proficiency in HTML, CSS, JavaScript, and front-end frameworks. Open-Source Technologies: Extensive experience working with open-source technologies. DevOps & Cloud Knowledge: Well-versed in DevOps practices, cloud deployment (AWS, Azure), and cloud PaaS. Database Management Tools: Knowledge of database management tools like Liquibase or Hibernate is preferable. Version Control: Familiarity with Git and containerization tools like Docker. Software Development Lifecycle: Strong understanding of software development lifecycle processes and methodologies. Communication Skills: Excellent written and verbal communication skills to collaborate effectively within teams and with stakeholders. Cross-Functional Teamwork: Ability to work effectively in a cross-functional environment. AI/ML Advantage: Exposure to AI/ML frameworks (e.g., Keras, Pytorch, Scikit-learn) is a plus. Statistical & Mathematical Modeling: Knowledge of statistical analysis and mathematical modeling concepts is a plus. Education and Experience: Bachelor s Degree in Computer Science, Information Technology, Electronics, Communication, or related fields. Candidates with a degree in other branches of engineering but with proven skills through past experience/projects are also encouraged to apply. Additional Information: Experience Level: 4-6 years of relevant experience in software development. Certifications: Willingness to acquire certifications in new technologies as required by projects. Qualification : Bachelors Degree in Computer Science, Information Technology, Electronics, Communication, or related fields.

Systems Engineer Description Hungry, Humble, Honest, with Heart. The Opportunity Nutanix (NTNX) is looking for a passionate and enthusiastic Systems Engineer (SE) who will act as a trusted advisor to our customers, beginning as a presales activity and continuing throughout the customer s transformational journey with Nutanix solutions. Your primary responsibility is to partner with the sales team, providing technical knowledge about Nutanix solutions to our customers and prospects. You ll deliver technical expertise through sales presentations, product demonstrations, and guide prospects through technical evaluations (POCs), which are critical to the success of our deals. Additionally, you ll collaborate with internal teams to address customer concerns, escalate product issues, and act as a brand ambassador for Nutanix. About the Team At Nutanix, you ll be part of the Systems Engineering team. This team operates with a strong spirit of collaboration and teamwork, driven by Nutanix s core values hungry, humble, honest, and with heart. You will report to the Head of Enterprise Business, Amit Sharma, who oversees strategic initiatives and technical direction for the team. This role is primarily on-site with frequent customer visits, but there are no strict office attendance requirements. Travel Requirement: Up to 50% of your time will be spent visiting customers, offering valuable face-to-face engagement to understand their needs and deliver exceptional solutions. Your Role Demonstrate features and articulate the benefits of Nutanix solutions to influence customer purchase decisions and drive business transformation. Size and configure Nutanix solutions to meet customer needs. Build and nurture long-term relationships with customers, establishing yourself as a trusted and valued resource. Provide customer feedback to internal Nutanix teams to support product development and service improvements. Work with sales counterparts to develop account plans, coverage models, and proposals, recommending solutions based on Nutanix offerings. Collaborate with the broader presales team to secure technical wins efficiently and professionally. What You Will Bring 7+ years of experience in a customer-facing technical role as a Systems Engineer or Solutions Engineer. Bachelor s degree or equivalent experience in Information Technology. Hands-on technical aptitude and agility to adapt to evolving market demands. Strong team player with proven cross-functional collaboration experience. Analytical approach to solving complex problems, with the ability to clearly describe the issue and recommend solutions. Excellent written and verbal communication skills in English, along with strong presentation abilities. Exceptional organizational skills, able to manage multiple projects and prioritize effectively. Highest standards of personal and professional ethics and integrity. A passion for learning, growth, and continuous improvement. Ability to craft compelling stories using whiteboards, presentations, and other media. Advanced knowledge of virtualization technologies and/or enterprise applications. Willingness to travel up to 50% of the time within your assigned territory and for key events. Equal Opportunity Employer Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status, or any other category protected by applicable law. We hire and promote individuals solely based on their qualifications for the job. We are committed to fostering an inclusive environment where all Nutants can thrive, do great work, and feel safe from discrimination, intimidation, or harassment. We also ensure reasonable accommodations for persons with disabilities. Qualification : Bachelors degree or equivalent experience in Information Technology.

Product Manager | Join the Seclore Tribe! Location: Mumbai Experience: 4-10 years At Seclore, we don t just work we innovate, disrupt, and redefine the future of data-centric security. We are a passionate team of entrepreneurs, risk-takers, and problem-solvers, united by a mission to safeguard digital assets wherever they go. With our award-winning, patent-granted technology, we empower enterprises to prevent data theft, ensure compliance, and adapt to evolving security threats even when information is shared externally. Recognized as a "Great Place to Work" in India 5 times in a row! Now proudly certified in the USA for the first time ever! If you re driven by curiosity, innovation, and a hunger to solve complex challenges, Seclore is the place for you! The Role: Product Manager As a Product Manager, you will lead the strategy, development, and execution of a set of core product modules, ensuring that our solutions remain ahead of the curve in an ever-evolving cybersecurity landscape. You will work at the intersection of technology, business, and user experience, translating complex security needs into simple, intuitive, and impactful product features. Your Key Responsibilities Product Leadership & Ownership Take end-to-end ownership of assigned product modules. Define, document, and communicate functional requirements with clarity and precision. Act as the product functional expert and a bridge between users and engineering teams. User-Centric Approach & Market Intelligence Develop an in-depth understanding of end-user journeys. Analyze product metrics to assess feature impact and business outcomes. Gather and track feedback from internal teams and external customers to drive improvements. Conduct competitive analysis and maintain feature comparison documents. Collaboration & Execution Own and prioritize the product backlog for Seclore s integrated solutions. Work closely with engineering, design, and QA teams to bring ideas to life. Deliver training sessions on new feature functionality, business benefits, and value propositions. Brainstorm and innovate solutions for complex business problems. Technical & Business Acumen Gain a deep understanding of Seclore s product suite, technology stack, and security ecosystem. Develop expertise in user personas, devices, operating systems, and browsers. Collaborate cross-functionally to drive innovation and optimize the user experience. Must-Have: Technical degree (Engineering, MCA) & Business degree (MBA, BBA) from a reputed institute. Exceptional communication & presentation skills to articulate complex concepts effectively. Strong analytical mindset to identify multiple solutions and drive decision-making. Experience in a software product company as a Product Consultant, Product Owner, Business Analyst, or Functional Expert. Good to Have: Awareness of user experience (UX) design best practices. Exposure to information security frameworks & protocols. Technical background in software development, systems, or security. A detail-oriented, process-driven approach to problem-solving. A "can-do" attitude thrives on challenges and constraints. Strong collaborative mindset to build relationships with stakeholders. Work on industry-defining security solutions that protect some of the world's most sensitive data. Own and shape a high-impact product in a fast-growing, innovative company. Be part of a workplace that values meritocracy, inclusivity, and continuous learning. Join a "Great Place to Work" certified company that fosters creativity and career growth. If you re ready to own a game-changing product, drive real innovation, and make an impact on global data security, we want to hear from you! Apply today and be part of the Seclore revolution! Qualification : A technical degree (Engineering, MCA) and business degree (MBA, BBA) from a reputed institute.

Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) play a pivotal role in developing and promoting the AWS Partner Network (APN) across specific technology areas and industries. This position is focused on accelerating the growth of AWS's partner ecosystem, working closely with AWS partners who provide cloud-based solutions and consulting services to clients. These partners assist customers in migrating to the cloud, modernizing applications, leveraging data and analytics, and adopting AI/ML technologies to enhance their digital transformation. As an AWS Partner Development Manager, you will collaborate across AWS teams to build strong partnerships and guide AWS partners in delivering solutions to customers. Your role will involve direct interaction with partners and customers, helping them to navigate AWS's AI services, platforms, and frameworks to achieve business objectives. Key Responsibilities: AI Solution Implementation: Work directly with partners to understand their business needs and assist in implementing AI solutions using AWS AI services, platforms, and frameworks. Guide customers through the adoption process and help bring AI projects from inception to production. Full-Stack ML/AI Projects: Support customers in delivering end-to-end machine learning (ML) and deep learning (DL) projects, including data aggregation, model building, validation, and deployment, ensuring business impact. AWS Tools and Services: Utilize Amazon SageMaker and Amazon Bedrock to assist customers in building and deploying AI and ML models. Help customers identify and address model drift and retrain models when necessary. Research & Innovation: Conduct research and implement novel ML and DL approaches to drive innovation for AWS customers. Knowledge Sharing: Deliver best practices, tutorials, blog posts, sample code, and presentations tailored for technical, business, and executive stakeholders to share knowledge and promote AWS capabilities. Desired Experience and Expertise: We are looking for experienced consultants and builders who are passionate about: Industry & Architecture: Analyzing industry trends and developing enterprise-level architecture designs to align with customer business goals and vision. Business & Technical Strategy: Understanding and abstracting business processes and designing corresponding technical architectures. Advising customers on long-term IT strategies to facilitate their digital transformation journey. Solution Design & Best Practices: Designing comprehensive solutions based on customer requirements and promoting AWS best practices. Proficiently writing technical documentation to support solution implementation. About the Team: AWS values diverse experiences and encourages candidates from varied backgrounds to apply, even if all qualifications are not met. We believe that unique career paths and perspectives enhance the success of our teams and contribute to innovation. Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, offering a robust suite of products and services that empower customers, from startups to global enterprises. Inclusive Team Culture: AWS fosters curiosity and connection, with employee-led affinity groups that promote inclusion and encourage individuals to take pride in their uniqueness. Our inclusion events strengthen collaboration and inspire innovation. Mentorship & Career Growth: We are committed to raising the performance bar and supporting career advancement through continuous mentorship and knowledge-sharing. Work/Life Balance: We prioritize work-life harmony and flexibility, believing that success at work should never come at the expense of personal well-being. Basic Qualifications: 5+ years of experience in developing, negotiating, and executing business agreements. 5+ years of professional or military experience. A Bachelor s degree or equivalent. Proven experience in developing strategies that influence leadership decisions at an organizational level. Experience managing programs across cross-functional teams, building processes, and coordinating release schedules. Preferred Qualifications: Experience in interpreting data to drive business recommendations. Expertise in identifying, negotiating, and executing complex legal agreements. Qualification : Bachelor's degree

Company Overview Mondel z International is a leading global snacking company with iconic brands like Oreo, Cadbury, and Toblerone. The company s mission is to lead the future of snacking, creating delicious moments of joy for people around the world. As part of Mondel z's dynamic Digital Solutions team, this role will offer an exciting opportunity to drive innovation through AI, data, and analytics. Role Overview As a Data Scientist within the Mondelez Digital Solutions team, you will play a critical role in developing cutting-edge AI and GenAI solutions that will empower the US Sales & Planning teams. This role focuses on leveraging Analytical AI algorithms and Large Language Models (LLMs) to create actionable insights and transform commercial reporting processes. You'll work closely with multiple teams to implement these solutions and continuously improve the reporting and decision-making capabilities of the organization. How You Will Contribute 1. AI and GenAI Model Development Design, develop, and deploy Analytical AI models (e.g., linear regression, decision trees, boosted trees models) to gather insights related to customers, brands, categories, and products. Implement anomaly detection algorithms (e.g., isolation forest) to identify anomalies in commercial data and alert teams about significant changes. Utilize Large Language Models (LLMs) to summarize the current business state and explain trends in the data, supporting the commercial reporting team. 2. Data Preparation and Utilization Oversee the extraction, preparation, and utilization of large datasets for model training and validation, ensuring the data is clean, accurate, and relevant for AI model development. Continuously update and refine the AI/GenAI solution with new data sources and features to enhance business insights. 3. Collaboration and Implementation Work closely with cross-functional teams to ensure smooth deployment of AI and GenAI capabilities into the company s commercial reporting dashboards. Collaborate with stakeholders to ensure the tools meet business requirements and deliver high-quality insights. 4. Reporting and Documentation Regularly report on the achievements and challenges of the AI tools to senior management and relevant stakeholders. Maintain detailed documentation of AI models, GenAI solutions, logic, and performance metrics, ensuring the business can leverage insights effectively. 5. Continuous Improvement and Innovation Stay up to date with the latest trends in AI and GenAI and integrate new advancements into the reporting system to improve its efficiency and effectiveness. What You Will Bring 1. Required Skills & Experience Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or related fields. Strong analytical and critical thinking skills with the ability to translate complex data into actionable business strategies. Proficiency in handling large datasets using Python and SQL. Strong knowledge of data visualization tools such as Tableau and Power BI. Experience with cloud platforms (e.g., Google Cloud, Azure, Databricks) for deploying AI solutions. Experience with data preprocessing, cleaning, and ETL processes. Familiarity with Natural Language Processing (NLP) techniques. Knowledge of recent advancements and trends in GenAI and a passion for continuous learning in this field. 2. Additional Skills (Good to Have) Working knowledge of syndicated data (e.g., Nielsen/IRI or other retail sales data sources). Proficiency in using data containerization and orchestration tools for maintaining complex data workflows. Experience with programming languages like PySpark and R. Experience in leveraging Large Language Models (LLMs) to build GenAI solutions or proofs-of-concept. Experience with frameworks like Langchain for building language applications. Relocation and Support Within-country relocation support is available. For candidates voluntarily moving internationally, minimal support is offered through the Volunteer International Transfer Policy. Qualification : Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.

Role Summary We are currently seeking a talented Data Scientist specializing in Campaign Effectiveness Analysis to join our dynamic team. The ideal candidate will be instrumental in advanced modeling, twinning, imputation, and analytics, focusing on supporting Campaign Effectiveness accounts and projects. Key Responsibilities Conduct causal inference, including hierarchical modeling, difference-in-differences, and using controls, with expertise in longitudinal design. Apply Machine Learning skills for imputation and quick drivers analyses. Familiarity with Campaign Effectiveness data and database, including an understanding of the unique methodologies required for this design. Execute modeling tasks in R for complex analyses. Utilize SPSS for ad hoc exploratory data analysis. Proficient in SQL for data retrieval, manipulation, and database creation across multiple studies. Perform static annual norms calculations efficiently, with knowledge of post-curve completion code. Contribute to institutional knowledge regarding normative standards, cleanup processes, and consequences. Execute data pulls for curves using SQL, ensuring alignment with normative standards. Manage years of curves in an R-based application involving thousands of curves. Join curves to an adjustment file through modeling. Conduct all procedures and cleaning in R, recognizing the time-intensive nature of replicating processes. Qualifications Education: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, or related field. Competencies Desired Proven experience as a Data Scientist, preferably in Campaign Effectiveness or Market Research domain. Expertise in causal inference, machine learning, and SQL. Proficiency in advanced R program for modeling and analytics. Experience with SPSS for data exploration. Strong understanding of data governance and database management. Qualification : Bachelors or advanced degree in Data Science, Statistics, Computer Science, or related field.

You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Consumer and Community Banking, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Hands-on software development experience in an Object-Oriented programming language (such as Python, Java, C++). Hands-on practical experience in system design, application development, testing, and operational stability. Experience in developing highly scalable micro-services based applications. In-depth knowledge of software applications and technical processes with practical knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Experience with Source Code Control Systems such as Git, bitbucket, svn, etc. Experienced inagile methodologies Preferred qualifications, capabilities, and skills Familiar in highthroughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB etc. andinnear real time stream processing with services such Kafka, Kinesis, Flink, ECS, EKS etc. Familiar in high volume feature engineering with services such as EMR.Experience leveraging trained model artifacts in newer model architectures and approaches such as neural networks, embeddings, multi arm bandits, etc. Familiar with relational DBs, SQL, RDS. Experience with development and build tools (or similar): IntelliJ /Eclipse, Maven, Gradle, Sprint Boot, MVC, Spring, Cloud. Experience with recommendation and personalization systems.Interest in problems related to the financial services domain. Qualification : Formal training or certification on software engineering concepts and 2+ years applied experience

Biomedical Engineer - Field Operations Location: Mumbai Department: Operations Customer Success (Field) 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 by improving patient safety, enhancing outcomes, and reducing healthcare costs through innovative, AI-driven technologies. Trusted by hospitals in India, the USA, and Africa, Dozee is revolutionizing healthcare with cutting-edge solutions. Role Overview As a Biomedical Engineer in Field Operations, you will be the face of Dozee at partner hospitals. This role involves conducting product demonstrations, installing and troubleshooting Dozee devices, and training healthcare professionals on device usage. You will ensure that the deployment and functionality of our solutions meet the highest standards, contributing to better patient outcomes and enhanced operational efficiency. Key Responsibilities Product Demonstrations & Installations Conduct live demonstrations of Dozee s devices at hospitals, showcasing their features and benefits to healthcare professionals. Install Dozee devices, ensuring proper setup and smooth functionality. Provide troubleshooting and technical support during and after installations. Training & Support Train healthcare professionals (nurses, doctors) and patients on how to use Dozee devices and the patient monitoring dashboard. Provide ongoing technical support and assistance, ensuring the devices are used effectively. Gather feedback from end-users to identify opportunities for improvement. Site Assessments & Coordination Perform site assessments to understand hospital requirements and communicate device needs to the remote team. Coordinate with remote teams to relay updates and ensure timely resolution of issues during site visits. Relationship Building Build and maintain strong relationships with healthcare professionals to foster trust and collaboration. Ensure clear, consistent communication between Dozee and hospital staff. Requirements Education & Experience Graduation or Diploma in Science, ITI, or a related field. 0-2 years of field operations or field sales experience in the healthcare or hospital industry. Prior experience working with doctors/nurses is preferred. Skills Basic understanding of computer operations and familiarity with technical tools. Excellent communication skills, with fluency in local languages. Willingness to travel within the city and work in hospital wards. Open to working night shifts occasionally as required. Why Join Dozee Be part of an innovative, mission-driven company revolutionizing healthcare with AI. Opportunity to directly impact patient safety and operational efficiency at top hospitals. Work with a team that has already monitored 1M+ patients and saved over 10 million nursing hours. Qualification : Graduation or Diploma in Science, ITI, or a related field