4210 Retrieval Jobs - Page 31

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.You’ll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement — safely, responsibly, and at scale.Join a team that values speed, openness, and ownership — and be part of the company that's changing healthcare through data and AI. About the Role We are looking for a visionary Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccer’s AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.You’ll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI Platform Align product strategy with Innovaccer’s AI-first approach and broader business goals Drive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccer’s platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflows Agent frameworks with planning, memory, and tools integration Evaluation pipelines for safety, fairness, and domain alignment Model orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AI Stay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act) Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI products Partner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 14+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure products Proven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applications Deep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluation Hands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure) Ability to communicate complex concepts to both technical and business audiences Experience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.) Knowledge of AI safety, explainability, and compliance in regulated environments Published thought leadership or contributions to AI communities, open-source, or technical working groups We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

About the Role: As a Senior Software Engineer specializing in backend development at Dailynivesh Innovations Pvt Ltd you will play a pivotal role in designing, developing, and maintaining robust backend systems for our fintech products. You will work closely with cross-functional teams to ensure seamless integration of backend services with frontend applications, ensuring optimal performance, security, and scalability. The ideal candidate is passionate about leveraging technology to solve complex challenges in the financial domain and possesses a strong proficiency in MongoDB, React.js, Node.js, and related technologies. Responsibilities : Design, develop, and deploy scalable backend systems and APIs to support fintech applications. Collaborate with frontend developers, product managers, and other stakeholders to understand requirements and translate them into technical solutions. Optimize application performance and ensure high availability, reliability, and security of backend services. Implement data storage solutions using MongoDB and other relevant databases, ensuring efficient data retrieval and manipulation. Integrate third-party APIs and services as needed to enhance product functionality. Conduct code reviews, write automated tests, and ensure adherence to coding standards and best practices. Troubleshoot and debug issues reported by QA or end-users, providing timely resolutions. Stay updated on emerging technologies and industry trends, continuously improving your skills and knowledge. Key Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. years of experience in backend development, with a focus on fintech or related industries. Proficiency in MongoDB, designing schemas, and optimizing database performance. Strong command of Node.js and Express.js for building RESTful APIs and backend services. Experience with React.js and frontend development is a plus. Familiarity with microservices architecture and containerization technologies (e.g., Docker, Kubernetes). Solid understanding of security best practices, including authentication, authorization, and data encryption. Excellent problem-solving skills and attention to detail. Effective communication skills and ability to work collaboratively in a team environment. Why Join Us: Opportunity to work on cutting-edge fintech solutions that make a real impact in the financial industry. Collaborative and inclusive work culture that values innovation, creativity, and continuous learning. Competitive salary and benefits package, including health insurance, retirement plans, and flexible work hours. Professional growth opportunities through training, mentorship programs, and career development initiatives. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹50,000.00 per month Benefits: Cell phone reimbursement Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Experience: total work: 5 years (Required) Work Location: In person

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting. 2 years of experience with iOS application development. Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Proficiency in code and system health, diagnosis and resolution, and software test engineering. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The YouTube Create app will be owned and developed by a fully cross-functional team. This team will be responsible for defining the product strategy, roadmap, Objectives and Key Results (OKRs) and execution. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together. Responsibilities Write product or system development code. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. 5 years of experience with design and architecture; and testing/launching software products. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 5 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Responsibilities Provide technical leadership on high-impact projects. Influence and coach a distributed team of engineers. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance large scale software solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and with Android application development. Experience with Embedded Systems, Android Systems, and Java. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience in code and system health, diagnosis and resolution, and software test engineering. Experience with Artificial Intelligence (AI) algorithms. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Software Engineer, you will work with mobile wireless technologies. You will develop and launch features on Android and Pixel that will impact people around the world. You will propose and implement new solutions for phones and devices to improve performances and create critical differentiation for Android and for Pixel. You will review the code developed by other engineers and give valuable comments. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products—from apps to TVs, from laptops to phones—that have an impact on people’s lives across the world. Responsibilities Write product or system development code. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Provide technical leadership on high-impact projects. Influence and coach a distributed team of engineers. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance large scale software solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role, overseeing projects, with 3 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 3 years of experience working in a matrixed organization. About The Job Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Responsibilities Lead a team from its inception and help shape the future of data protection infrastructure at Google. Develop technical solutions for emerging privacy space including AI/ML to ensure Google’s products leveraging these technologies are safe for billions of users across the globe. Cultivate a collaborative, and psychologically safe environment where team members can grow and contribute their best work. Support the professional growth of all team members by ensuring that everyone has work that is good for Google, good for the team. Forge partnerships across Google, aligning the team's work with the organization's overall goals. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse, Functional Testing Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Key Responsibilities: a Overall 12+ of data experience including 5+ years on Snowflake and 3+ years on DBT (Core and Cloud) b Played a key role in DBT related discussions with teams and clients to understand business problems and solutioning requirements c As a DBT SME liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake. f Strong inclination for practice building that includes spearheading thought leadership discussions, managing team activities. Technical Experience: a Strong Experience working as a Snowflake on Cloud DBT Data Architect with thorough knowledge of different services b Ability to architect solutions from OnPrem to cloud and create end to end data pipelines using DBT c Excellent process knowledge in one or more of the following areas: Finance, Healthcare, Customer Experience d Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake features e DBT (Core and Cloud) end to end migration experience that includes DBT migration - Refactoring SQL for modularity, DBT modeling experience (.sql or .py files credbt job scheduling on atleast 2 projects f Knowledge of Jinja template language (Macros) would be added advantage g Knowledge of Special features like DBT documentation, semantic layers creation, webhooks etc. h DBT and cloud certification is important. i Develop, fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI. j Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support. k Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots. l Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions. m Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives. n Stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities. o Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Professional Attributes: a client management, stakeholder management, collaboration, interpersonal and relationship building skills b Ability to create innovative solutions for key business challenges c Eagerness to learn and develop self on an ongoing basis d Structured communication written, verbal and presentational. Educational Qualification: a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM

Agentic AI Automation Specialist Maker Lab is part of the Miroma Group, a global independent marketing business, uniquely placed to unlock value and drive growth for disruptive brands. The group comprises a global network of award-winning marketing and communications agencies. As we're supporting the growth of our innovation team, we're looking for an Agentic AI Automation Specialist to support the automation of workflows and the development of AI for our group of agencies. Role: Assist in the architecture and development of AI agents using LLMs and multi-agent frameworks (e.g., LangChain, Make, Zapier, N8N) Translate business problems into agent-based solutions Collaborate with stakeholders to define agent roles, behaviours, and objectives Oversee experimentation, prompt engineering, RAG pipelines, tool integrations, and agent memory strategies Ensure security, compliance, and performance of deployed AI systems in financial contexts Stay on top of emerging AI trends and apply best practices in model fine-tuning, evaluation, and deployment. You: 6+ years of experience in AI/ML, NLP, or intelligent systems; 2+ years leading AI initiatives Strong experience with Python, LLM APIs (OpenAI, Anthropic, etc.), and agent frameworks Familiarity with knowledge retrieval (vector databases), secure tool calling, and orchestration techniques Strong communication skills with an ability to engage both technical and non-technical stakeholders Experience building multi-agent systems for enterprise use cases preferred Please note: due to the high volume of applications, only successful candidates will be contacted with a follow-up introduction email. If you do not receive an email from Maker Lab, your application has been unsuccessful this time around. Look out for future roles! By submitting your application, you consent to the collection, use and disclosure of your data by the Maker Lab team for the purposes of your application. Where your application contains personal data of third parties, you confirm that you have obtained all necessary consents to provide the Maker Lab team with such personal data and that we may collect, use and/or disclose such data in accordance with the Personal Data Protection Act 2012.

Job Title : Senior Automation Engineer Job Type : Full-time, Contractor About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary: We are seeking a detail-oriented and innovative Senior Automation Engineer to join our customer's team. In this critical role, you will design, develop, and execute automated tests to ensure the quality, reliability, and integrity of data within Databricks environments. If you are passionate about data quality, thrive in collaborative environments, and excel at both written and verbal communication, we'd love to meet you. Key Responsibilities: Design, develop, and maintain robust automated test scripts using Python, Selenium, and SQL to validate data integrity within Databricks environments. Execute comprehensive data validation and verification activities to ensure accuracy and consistency across multiple systems, data warehouses, and data lakes. Create detailed and effective test plans and test cases based on technical requirements and business specifications. Integrate automated tests with CI/CD pipelines to facilitate seamless and efficient testing and deployment processes. Work collaboratively with data engineers, developers, and other stakeholders to gather data requirements and achieve comprehensive test coverage. Document test cases, results, and identified defects; communicate findings clearly to the team. Conduct performance testing to ensure data processing and retrieval meet established benchmarks. Provide mentorship and guidance to junior team members, promoting best practices in test automation and data validation. Required Skills and Qualifications: Strong proficiency in Python, Selenium, and SQL for developing test automation solutions. Hands-on experience with Databricks, data warehouse, and data lake architectures. Proven expertise in automated testing of data pipelines, preferably with tools such as Apache Airflow, dbt Test, or similar. Proficient in integrating automated tests within CI/CD pipelines on cloud platforms (AWS, Azure preferred). Excellent written and verbal communication skills with the ability to translate technical concepts to diverse audiences. Bachelor’s degree in Computer Science, Information Technology, or a related discipline. Demonstrated problem-solving skills and a collaborative approach to teamwork. Preferred Qualifications: Experience with implementing security and data protection measures in data-driven applications. Ability to integrate user-facing elements with server-side logic for seamless data experiences. Demonstrated passion for continuous improvement in test automation processes, tools, and methodologies.

Full-Stack Engineer (Next.js + AI) Location: Remote — India (IST) Commitment Part-time, ~25 hrs/week Fixed-scope contract with strong potential for full-time conversion Compensation ₹ 75,000 per month Experience Level: 3+ years professional software development Core Stack: Next.js / React (TS), Node.js, Postgres / Supabase, OpenAI API, LangChain, Pinecone Nice-to-Have: Electron.js for desktop apps You will lead end-to-end feature delivery for a new AI-centric product, balancing polished, high-performance front-end work in Next.js with robust back-end services in Node.js and Postgres/Supabase . Expect to own system design decisions, integrate LLM workflows (LangChain + OpenAI), and implement vector-database powered RAG features. Key Responsibilities Product-Driven Development — Translate product requirements into elegant, scalable features across the stack. Front-End Excellence — Craft responsive, high-performance UIs in Next.js (TypeScript), optimizing for UX and accessibility. Back-End Ownership — Build REST/GraphQL APIs, data models, and business logic in Node.js with Postgres/Supabase. AI & RAG Integration — Implement retrieval-augmented generation pipelines with LangChain and Pinecone; fine-tune prompts and embeddings for performance. System Design & DevOps — Contribute to architecture decisions, performance tuning, and CI/CD workflows. Collaboration & Communication — Work async-first with reasonable EST overlap; participate in code reviews and technical planning. Required Skills & Experience 3+ years building production software with modern JavaScript/TypeScript . Proven delivery experience with Next.js and React . Strong back-end expertise in Node.js and relational databases ( Postgres/Supabase ). Hands-on knowledge of vector DBs (e.g., Pinecone ) and LLM tooling ( LangChain , OpenAI API). Solid grasp of full-stack system design , performance optimization, and clean code practices. Bonus Points Electron.js experience for cross-platform desktop applications. Exposure to CI/CD pipelines, testing frameworks, or cloud platforms (Vercel, AWS, GCP). Previous work on AI/ML or data-heavy SaaS products. Why You’ll Love This Role Impact from Day 1 — Shape foundational architecture for a green-field AI product. Flexible Schedule — Set your own hours with overlap for key EST meetings. Growth Path — Strong chance to move into a full-time, higher-responsibility role as the product scales

Responsibilities: Build multi-agent systems capable of reasoning, tool use, and autonomous action Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction Optimize inference pipelines, task planning, and system performance Collaborate on architecture, prototyping, and iterative development Experiment with prompt chaining, tool calling, embeddings, and vector search Requirements 5+ years of experience in software engineering or AI/ML development Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks Proven experience with multi-agent systems, tool calling, or task planning agents Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium) Cloud deployment and systems engineering experience (GCP, AWS, etc.) Self-starter attitude with strong product sense and iteration speed Bonus Points Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks Background in building AI systems that blend structured and unstructured data Experience working in a fast-paced startup environment Previous startup or technical founding team experience

Job Description We are seeking an experienced Data Modeler to join our team. The Data Modeler will be responsible for designing, developing, and maintaining data models using HL7 and FHIR models for claims and clinical data from the provider standpoint. Knowledge of the EPIC EHR system is highly desirable. This role involves working closely with product owners, SMEs, and data architects to understand business requirements and translate them into logical and physical data models. The ideal candidate will have strong experience in dimensional data modeling and proficiency with ER Studio and Erwin data modeling tools. Key Responsibilities Data Modeling: Design, develop, and maintain conceptual, logical, and physical data models to meet business requirements. Requirement Gathering: Collaborate with product owners, SMEs, and end-users to gather requirements and convert them into working documents and models. Data Dictionary Maintenance: Maintain the data dictionary of entities and metadata repositories to ensure accurate and up-to-date information. Project Participation: Participate in projects through various phases, ensuring data models align with project goals. Collaboration: Work closely with DBAs to ensure effective data storage, retrieval, and security. Performance Optimization: Prepare logical data models and physical database designs optimized for performance, availability, and reliability. Required Skills & Qualifications 10+ years of experience in data modeling, database design, and healthcare data management. Strong expertise in HL7 and FHIR data models for claims and clinical data. Proven experience in dimensional data modeling (conceptual, logical, and physical data modeling) using ER Studio. Hands-on experience with Erwin data modeling tools. Knowledge of SQL, NoSQL databases, and data warehouse technologies. Experience with EHR/EMR systems, preferably EPIC EHR. Strong understanding of healthcare standards, regulations, and compliance requirements. Ability to work collaboratively with product owners, SMEs, data architects, and DBAs. Strong analytical and problem-solving skills. (ref:hirist.tech)

Role : AI / Generative AI Engineer Location : Remote ( Pan India ). Job Type : Fulltime. NOTE : "Only immediate joiners or candidates with a notice period of 15 days or less will be considered". Overview We are seeking a highly skilled and motivated AI/Generative AI Engineer to join our innovative team. The ideal candidate will have a strong background in designing, developing, and deploying artificial intelligence and machine learning models, with a specific focus on cutting-edge Generative AI technologies. This role requires hands-on experience with one or more major cloud platforms (Google Cloud Platform GCP, Amazon Web Services AWS) and/or modern data platforms (Databricks, Snowflake). You will be instrumental in building and scaling AI solutions that drive business value and transform user experiences. Key Responsibilities Design and Development : Design, build, train, and deploy scalable and robust AI/ML models, including traditional machine learning algorithms and advanced Generative AI models (e.g., Large Language Models LLMs, diffusion models). Develop and implement algorithms for tasks such as natural language processing (NLP), text generation, image synthesis, speech recognition, and forecasting. Work extensively with LLMs, including fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and evaluating their performance. Develop and manage data pipelines for data ingestion, preprocessing, feature engineering, and model training, ensuring data quality and integrity. Platform Expertise Leverage cloud AI/ML services on GCP (e.g., Vertex AI, AutoML, BigQuery ML, Model Garden, Gemini), AWS (e.g., SageMaker, Bedrock, S3), Databricks, and/or Snowflake to build and deploy solutions. Architect and implement AI solutions ensuring scalability, reliability, security, and cost-effectiveness on the chosen platform(s). Optimize data storage, processing, and model serving components within the cloud or data platform ecosystem. MLOps And Productionization Implement MLOps best practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and lifecycle management. Deploy models into production environments and ensure their performance, scalability, and reliability. Monitor and optimize the performance of AI models in production, addressing issues related to accuracy, speed, and resource utilization. Collaboration And Innovation Collaborate closely with data scientists, software engineers, product managers, and business stakeholders to understand requirements, define solutions, and integrate AI capabilities into applications and workflows. Stay current with the latest advancements in AI, Generative AI, machine learning, and relevant cloud/data platform technologies. Lead and participate in the ideation and prototyping of new AI applications and systems. Ensure AI solutions adhere to ethical standards, responsible AI principles, and regulatory requirements, addressing issues like data privacy, bias, and fairness. Documentation And Communication Create and maintain comprehensive technical documentation for AI models, systems, and processes. Effectively communicate complex AI concepts and results to both technical and non-technical audiences. Required Qualifications 8+ years of experience with software development in one or more programming languages, and with data structures/algorithms/Data Architecture. 3+ years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). 3+ years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field. Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role. Strong programming skills in Python. Familiarity with other languages like Java, Scala, or R is a plus. Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning concepts (e.g., CNNs, RNNs, Transformers), and statistical modeling. Hands-on experience with developing and deploying Generative AI models and techniques, including working with Large Language Models (LLMs like GPT, BERT, LLaMA, etc.). Proficiency in using common AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, Hugging Face Transformers, LangChain, etc. Demonstrable experience with at least one of the following cloud/data platforms : GCP : Experience with Vertex AI, BigQuery ML, Google Cloud Storage, and other GCP AI/ML services. AWS : Experience with SageMaker, Bedrock, S3, and other AWS AI/ML services. Databricks : Experience building and scaling AI/ML solutions on the Databricks Lakehouse Platform, including MLflow. Snowflake : Experience leveraging Snowflake for data warehousing, data engineering for AI/ML workloads, and Snowpark. Experience with data engineering, including data acquisition, cleaning, transformation, and building ETL/ELT pipelines. Knowledge of MLOps tools and practices for model deployment, monitoring, and management. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. (ref:hirist.tech)

About SmartQ We are a leading B2B Food-Tech company built on 4 pillars-great people, great food, great experience, and greater good. Solving complex business problems with our heart and analyzing possible solutions with our mind lie in our DNA. We are on the perpetual route of serving our clients wholeheartedly. Armed with the stability of an MNC and the agility of a start-up, we have spread across 17 countries, having collaborated and executed successfully with 600 clients. We have grown from strength to strength with a blend of exuberant youth and exceptional experience. Bengaluru, being our headquarters, is known as the innovation hub and we have grown up to be the global leader in the institutional food tech space. We were recently acquired by the world's largest foodservice company Compass group which has an annual turnover of 20 billion USD. Lead QA Engineer Are you passionate about designing, developing, and implementing automated testing solutions to ensure the quality and reliability of software applications? If your response is a resounding yes, then we are hunting for you. As a QA Engineer at SmartQ, your primary role will be to streamline the testing process, increase test coverage, and identify and report defects in an efficient manner. In addition, your role will revolve around develop a test plan that outlines the scope, approach, resources, and schedule for automated testing, choose appropriate automation testing tools and frameworks based on the nature of the application and project requirements, write and maintain automated test scripts using programming languages such as Java, Python, and others. If you are a dynamic, results-oriented engineer with a proven track record in steering MNCs toward unprecedented success, we invite you to seize this opportunity to make a profound impact on our global presence. Do you possess all these skills and wish to make a difference in the world of food and technology? Join us now! Must-Have Skills Writing, executing, and maintaining test scripts, ensuring cross-browser compatibility. Analyze requirements, functional specifications and create detailed level test cases Internal. Collaborate with QA Team to implement effective strategies and test plans. Ability to identify a set of test cases that will be a good fit for automation and scope out automation coverage for a particular project. Be ready to move test cases from manual to automation with pride. Contribute to the design and architecture of high-quality, complex systems and software environments focusing on mobile development, automation, and quality aspects. Execute test cases scripts scenarios on schedule (Functional, Systems Integration, and Regression Testing), and open defects as needed. Develop build test automation strategy and focus specifically on maximizing reusability for regression. Design, build and execute automated tests. Identify regression testing needs and create and maintain an Automated Regression Suite. Maintain automated scripts utilizing the existing framework, adhering to coding standards. Create a weekly plan and weekly reports. Follow the Scrum process, participate in Scrum ceremonies and follow the incremental delivery model. Must have experience in integrating mobile cloud platforms like Browser stack / Perfecto with automation framework. Practical experience with Selenium WebDriver for automated testing of web applications. Skilled Proficient in using JIRA for project management, GIT for version control, and databases for data storage and retrieval. Skilled in managing tasks, tracking progress, and performing database operations. Experienced in developing, testing, and deploying applications in both Android and Windows environments. Proficient in utilizing specific tools and frameworks for each platform. Strong understanding of API testing tools like SoapUI and Postman. Skilled in creating and executing test cases, validating responses, and ensuring API reliability, performance, and security. Familiarity with both android and Windows environments. Knowledge of API Testing tools such as SoapUI, Postman. Good-to-Have Skills Educational background includes a degree (B.E/B.Tech/M.Tech) in Computer Science, Engineering, or a related field. Overall 7-8 years and possess 2-3 years of hands-on experience in automation testing, including designing, implementing, and maintaining automated test scripts and frameworks. Demonstrated expertise in ensuring software quality and reliability through comprehensive automated testing processes. Possess a strong command of programming languages such as Java and Python. Capable of writing efficient, maintainable code for automation scripts, and leveraging language-specific libraries and frameworks to enhance testing capabilities. Experience working with Appium for mobile application automation testing. Skilled in setting up and configuring automation frameworks, ensuring seamless integration with testing processes for Android and iOS applications. Experience in Maven for build automation, Jenkins for CI/CD, and TestNG for automated testing. Proficient in configuring and integrating these tools to streamline development workflows. (ref:hirist.tech)

Job Title: Data Engineer Location: Ahmedabad Work Mode: On-Site Opportunity Experience: 4+ Years Employment Type: Full-Time Availability: Immediate Joiner Preferred Join Our Team as a Data Engineer We are seeking a passionate and experienced Data Engineer to be a part of our dynamic and forward-thinking team in Ahmedabad. This is an exciting opportunity for someone who thrives on transforming raw data into powerful insights and building scalable, high-performance data infrastructure. As a Data Engineer, you will work closely with data scientists, analysts, and cross-functional teams to design robust data pipelines, optimize data systems, and enable data-driven decision-making across the organization. Your Key Responsibilities Architect, build, and maintain scalable and reliable data pipelines from diverse data sources. Design effective data storage, retrieval mechanisms, and data models to support analytics and business needs. Implement data validation, transformation, and quality monitoring processes. Collaborate with cross-functional teams to deliver impactful, data-driven solutions. Proactively identify bottlenecks and optimize existing workflows and processes. Provide guidance and mentorship to junior engineers in the team. Skills & Expertise Were Looking For 3+ years of hands-on experience in Data Engineering or related roles. Strong expertise in Python and data pipeline design. Experience working with Big Data tools like Hadoop, Spark, Hive. Proficiency with SQL, NoSQL databases, and data warehousing solutions. Solid experience in cloud platforms - Azure Familiar with distributed computing, data modeling, and performance tuning. Understanding of DevOps, Power Automate, and Microsoft Fabric is a plus. Strong analytical thinking, collaboration skills, Excellent Communication Skill and the ability to work independently or as part of a team. Qualifications Bachelors degree in Computer Science, Data Science, or a related field (ref:hirist.tech)

Summary Understands complex and critical business problems from a variety of stakeholders and business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the definition, implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its usefull lifecycle. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.Independently set strategy, manage budget, ensuring appropriate staffing and coordinating projects within the area supervised. If managing a team: empowers the team and provides guidance and coaching, with limited guidance from more senior managers. About The Role Position Title: Associate Director Data Science Location – Hyd-India Hybrid About The Role We are seeking a highly skilled Data Science Architect to design and implement cutting-edge Data Science / Generative AI (GenAI) solutions tailored for the pharmaceutical and life sciences industry . This role will be responsible for defining AI strategies, selecting and fine-tuning generative AI models, and ensuring seamless integration with enterprise systems to enhance drug discovery, clinical trials, regulatory compliance, and patient-centric solutions. The AI/GenAI Architect will collaborate closely with data scientists, engineers, and business stakeholders to develop scalable, compliant, and high-performance AI applications that leverage large language models (LLMs), multimodal AI, and AI-driven automation . Your Responsibilities Include But Are Not Limited To GenAI Strategy & Roadmap: Define and implement a generative AI architecture and roadmap aligned with business goals in pharma and life sciences. Solution Design: Architect scalable GenAI solutions for drug discovery, medical writing automation, clinical trials, regulatory submissions, and real-world evidence generation. LLM Development & Optimization: Work with data scientists and ML engineers to develop, fine-tune, and optimize large language models (LLMs) for life sciences applications, such as scientific literature analysis, regulatory intelligence, and patient engagement. Cloud & On-Prem AI Infrastructure: Design GenAI solutions leveraging cloud platforms (AWS, Azure, GCP) or on-premise infrastructure while ensuring data security and regulatory compliance. MLOps & Deployment: Implement best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments. Compliance & Governance: Ensure GenAI solutions comply with regulatory standards (FDA, EMA, GDPR, HIPAA, GxP, 21 CFR Part 11) and adhere to responsible AI principles, including bias mitigation and explainability. Performance Optimization: Drive efficiency in generative AI models, ensuring cost optimization and scalability while maintaining data integrity and compliance. Stakeholder Collaboration: Work with cross-functional teams, including platform teams, and Drug Development teams, to align GenAI initiatives with enterprise and industry-specific requirements. Research & Innovation: Stay updated with the latest advancements in GenAI, multimodal AI, AI agents, and synthetic data generation to incorporate emerging technologies into the company’s AI strategy. What You’ll Bring To The Role: Experience in GenAI applications for medical writing, automated clinical trial protocols, drug discovery, and regulatory intelligence. Knowledge of AI explainability, retrieval-augmented generation (RAG), knowledge graphs, and synthetic data generation in life sciences. AI/ML certifications from AWS, Google, or Microsoft. Understanding of biomedical ontologies, semantic AI models, and federated learning. Exposure to fine-tuning the LLM models will be a big plus Exposure to SLM or domain LLM model will be a big plus. BioGPT & PubMedBERT: NLP for biomedical literature and clinical trial analysis. Custom SLMs: Fine-tune Mistral 7B, Phi-2, or Gemma on pharma datasets MLOps & DevOps: Familiarity with CI/CD, containerization (Docker, Kubernetes), vector databases, and real-time model monitoring. Regulatory & Ethical AI: Understanding of AI governance, responsible AI principles, and compliance requirements for GenAI in pharma. Problem-Solving: Strong analytical and problem-solving skills with the ability to design innovative GenAI solutions for life sciences use cases. Communication & Leadership: Excellent communication skills to articulate GenAI strategies and solutions to technical and non-technical stakeholders. Desirable Requirements: Bachelor's or Master's degree in Computer Science, AI, Data Science, Bioinformatics, or a related field. Experience: 8+ years in AI/ML development with at least 2 years in an AI Architect or GenAI Architect role in pharma, biotech, or life sciences. Technical Expertise: Strong proficiency in Generative AI, large language models (LLMs), multimodal AI, and deep learning for pharma applications. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, Scikit-learn, etc.). Experience with data engineering, ETL pipelines, and big data technologies (Spark, Kafka, Databricks, etc.). Proficiency in programming languages such as Python, R, or Java. Knowledge of cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI). Deploy a Lightweight LLM in a Pharma SaaS Platform Commitment To Diversity & Inclusion: Novartis embraces diversity, equal opportunity, and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Job Description Join our fast-paced Corporate Oversight and Governance Technology AI/ML team at J.P. Morgan, where your skills and passion will drive innovation and make a significant impact. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and contribute to meaningful projects. As an Applied AI ML Senior Associate within the Corporate Oversight and Governance Technology team, you will solve challenging and impactful problems across a wide range of Corporate functions. You will study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models. Working with the firm’s rich data pool using Python/Spark via AWS, you will derive business insights and present them to non-technical audiences, contributing to stronger business programs and improved efficiency. Job Responsibilities Proactively develop understanding of key business problems and processes. Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Generate structured and meaningful insights from data analysis and modeling exercises and present them in an appropriate format according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups. Required Qualifications, Capabilities, And Skills Formal training or certification in applied AI/ML concepts and 5+ years applied experience Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. Experience with graph analytics and neural networks (PyTorch). Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred Qualifications, Capabilities, And Skills Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). Familiarity with the financial services industry. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Founding AI Engineer (GenAI + Agentic AI + Vector DBs) Experience: 2 – 3 years Location: Remote (India Preferred) Type: Full-time | Founding Team Equity: Yes Reporting to: Head of AI 🔹 About the Role We’re building agentive AI systems for real-world enterprise problems — and need a hands-on AI Engineer to lead that effort. You will design GenAI workflows, use LLMs to create intelligent pipelines, and roll out production-grade AI features in collaboration with product, data, and backend teams. 🔧 Key Responsibilities Build & scale LLM-driven systems using LangChain , AutoGen , and RAG pipelines . Work on embedding generation , vector DBs (like Pinecone, FAISS), and retrieval systems . Collaborate with backend teams to deploy scalable AI microservices. Apply multi-agent frameworks to real-world decision-making and automation problems. Contribute to architecture, experimentation, and productionization of AI models. 🧠 You Should Have 2–3 years in AI/ML engineering roles, preferably in product or startup teams. Strong Python and familiarity with libraries like LangChain, HuggingFace, OpenAI APIs. Experience in building GenAI , agent-based models , or LLM orchestration . Understanding of data pipelines , vector stores , and model deployment . Willingness to work in ambiguity and contribute beyond core responsibilities. 🚀 Bonus Points Worked on secure AI , governance-aware AI , or enterprise-grade deployments . Knowledge of cybersecurity fundamentals and how AI impacts data risk.

Solar Store In-Charge We are seeking a detail-oriented and proactive Solar Store In-Charge to oversee the management and operations of our solar project warehouse. This role is pivotal in ensuring the efficient storage, handling, and dispatch of solar components, contributing to the seamless execution of solar installations. 🔧 Key Responsibilities Inventory Management Maintain accurate records of all incoming and outgoing materials, including solar panels, inverters, mounting structures, cables, and tools. Conduct regular stock audits and reconcile physical counts with system records. Implement FIFO (First In, First Out) or other inventory management practices to minimize material wastage. Material Handling & Storage Ensure proper storage conditions for all materials, adhering to manufacturer guidelines and safety standards. Oversee the safe loading and unloading of materials, coordinating with site teams to prevent damage. Organize materials efficiently to facilitate easy access and minimize retrieval time. Procurement Coordination Liaise with procurement teams to ensure timely availability of materials based on project schedules. Monitor stock levels and initiate purchase requisitions to replenish inventory as needed. Maintain relationships with suppliers to ensure quality and timely delivery of materials. Documentation & Reporting Maintain detailed records of stock movements, including GRNs (Goods Receipt Notes), MRNs (Material Receipt Notes), and dispatch logs. Prepare and submit regular inventory reports to management, highlighting stock levels, usage trends, and potential shortages. Ensure all documentation complies with company policies and regulatory requirements. Team Supervision & Training Supervise and train warehouse staff, ensuring adherence to safety protocols and efficient work practices. Assign tasks and monitor performance to ensure timely and accurate completion of duties. Foster a collaborative and positive work environment within the warehouse team. Quality Control & Compliance Inspect incoming materials for quality and compliance with specifications. Address and resolve any discrepancies or issues related to material quality or quantity. Ensure the warehouse operates in compliance with health, safety, and environmental regulations. Education ✅ Required Qualifications & Experience Bachelor's degree in any discipline (preferably in Commerce, Business Administration, or Engineering). Diploma in Material Management or Logistics is an advantage. Experience Experience in store or warehouse management, preferably in the solar or construction industry. Familiarity with solar components and project requirements is highly desirable. Technical Skills Proficiency in inventory management software and MS Office applications (Excel, Word). Knowledge of ERP systems (e.g., SAP, Tally) is a plus. Soft Skills Strong organizational and multitasking abilities. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. 🌱 Preferred Attributes Experience with solar project logistics and material handling. Understanding of safety standards and quality control procedures in warehouse operations. Ability to adapt to dynamic project timelines and requirements. 📈 Career Path Progression from Store In-Charge to Senior Store Manager or Warehouse Operations Manager. Opportunities to specialize in procurement, logistics coordination, or project supply chain management.

Role Overview: We are looking for a technically strong AI/NLP Engineer to design and build scalable conversational AI systems using a layered, hybrid approach. You will develop classical ML and rule-based NLP pipelines for intent recognition, entity extraction, and dialogue management, and escalate to fine-tuning and integrating large language models (LLMs) like LLaMA when higher-level understanding or generation is required. Your work will enable efficient, maintainable, and cost-effective chatbot and AI applications by combining the best of traditional NLP/ML and state-of-the-art LLM capabilities. Key Responsibilities: • Design, develop, and optimize rule-based NLP and classical ML pipelines (intent classification, slot filling, pattern matching) for conversational AI. • Fine-tune and adapt large language models (e.g., LLaMA) using LoRA, PEFT, and instruction tuning for complex or ambiguous use cases. • Build and maintain retrieval-augmented generation (RAG) pipelines using vector search engines (FAISS, Pinecone). • Architect modular chatbot systems combining classical ML, rule-based, and LLM components for robust and scalable solutions. • Preprocess and curate datasets for both classical ML training and LLM fine-tuning. • Optimize GPU-based training workflows with tools like Hugging Face Accelerate, DeepSpeed, and manage distributed training. • Develop and execute evaluation metrics and testing protocols to assess both classical models and LLM outputs. • Collaborate with engineering teams to deploy conversational AI models into production systems. • Stay current with latest research and best practices in NLP, ML, and LLM fine-tuning. Required Skills & Experience: • 2 years experience with NLP, classical ML, and LLM fine-tuning. • Strong proficiency in classical ML algorithms (SVM, logistic regression, decision trees) and NLP techniques (regex, rule-based parsing, intent/entity extraction). • Hands-on experience fine-tuning large language models (LLaMA, GPT, Falcon) using LoRA, PEFT, or related methods. • Proficient with NLP and ML libraries: scikit-learn, spaCy, Hugging Face Transformers, NLTK. • Experience building retrieval-augmented generation pipelines with vector databases (FAISS, Pinecone). • Familiarity with distributed GPU training and memory optimization techniques. • Strong Python programming and software engineering skills. • Ability to design modular, maintainable ML/NLP systems combining different techniques. • Experience working in cross-functional teams and clearly communicating technical concepts

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Title: Data Archive Specialist Level: Senior Associate Department: Data Management & Compliance Role Summary: As a Data Archive Specialist, you will be key in safeguarding the organization's data assets by implementing and managing comprehensive data archival strategies. This involves ensuring compliance with data retention policies and regulatory frameworks like GDPR, HIPAA, and FDA. You will work closely with IT teams to integrate and optimize archival platforms such as AWS S3, Azure Blob Storage, and OpenText, ensuring seamless access and efficient data management. Your expertise will support the organization's data governance, providing insights through detailed reporting and audits to enhance data integrity and compliance. Key Responsibilities: 1. Data Archival Strategy Development: - Design and implement comprehensive data archival strategies aligned with organizational goals and regulatory requirements. - Evaluate and select appropriate archival platforms to ensure data integrity and security. 2. Regulatory Compliance: - Ensure all data archival processes comply with industry regulations such as GDPR, HIPAA, and FDA. - Conduct regular audits to verify compliance and address discrepancies. 3. Platform Management: - Collaborate with IT to manage and optimize archival platforms like AWS S3, Azure Blob Storage, and OpenText. - Ensure smooth integration of archival systems with existing IT infrastructure. 4. Data Retention and Retrieval: - Establish and enforce data retention policies to manage the lifecycle of archived data. - Develop efficient retrieval processes to ensure quick access to archived data when required. 5. Reporting and Monitoring: - Create comprehensive reports to monitor archival activities, data integrity, and compliance status. - Present findings to senior management and recommend improvements to archival processes. Mandatory Skills: Handle inactive data across various systems and applications, ensuring compliance, integrity, and long-term accessibility. ETL Tools: Informatica (including IICS) and custom Python/Shell scripts. Archival Platforms: OpenText or similar, AWS S3/Glacier, Azure Blob Storage. Database: Oracle or similar. Knowledge of regulatory frameworks: HIPAA, GDPR, FDA. Good to Have Skills: IT collaboration skills for integrating archival platforms with existing systems. Proficiency in creating detailed reports to monitor archival activities and compliance status.

Job description We are seeking a results-oriented Network Engineer who can able to manage IT Admin works also to manage our company's computer infrastructure and supervise our IT department. You will be upgrading and installing hardware and software, performing troubleshooting to resolve IT issues, and maintaining our networks and servers. L1&L2 candidates who had a good exposure in Trouble Shouting and can handle Technical Issues can apply. L3 will be an added advantage. To ensure success as an IT administrator, you should possess extensive experience in IT administration and the ability to optimize the performance of our IT infrastructure. An accomplished IT administrator will be someone whose technical expertise results in enhanced IT system efficiency across company structures. Monitoring and maintaining networks and servers. Upgrading, installing and configuring new hardware and software to meet company objectives. Implementing security protocols and procedures to prevent potential threats. Creating user accounts and performing access control. Performing diagnostic tests and debugging procedures to optimize computer systems. Documenting processes, as well as backing up and archiving data. Developing data retrieval and recovery procedures. Designing and implementing efficient end-user feedback and error reporting systems. Supervising and mentoring IT department employees, as well as providing IT support. Keeping up to date with advancements and best practices in IT administration. Requirements Bachelor's degree in computer science, information technology, information systems, or similar. At least three years' experience in a similar role. Extensive experience with IT systems, networks, and related technologies. Solid knowledge of best practices in IT administration and system security. Exceptional leadership, organizational, and time management skills. Strong analytical and problem-solving skills. Excellent interpersonal and communication skills. Location- Bengaluru Employment Mode: Full-time on site position (WFO only) Salary: Definitely the best Age : 25-35yrs only Start Date: Immediately Experience: 3-5 years Working days: Monday to Saturday Education: BE/BTECH (ECE) /BCA/M.Sc(Computers)/MTECH/MCA Industry: E-learning/Edtech Employment Type: Full-time

Job Description: Design and develop APIs using Informaticas IDMC platform Implement and configure CAI processes to create APIs for data retrieval creates and updates in IDMC MDM Customer 360 using IDMC platform APIs including service orchestration Work with business and IT stakeholders to understand data requirements and ensure solutions meet those needs Collaborate with Architect and Tech lead to develop the CAI processes based on functional and technical requirements Ensure data consistency accuracy and integrity across all systems and applications Document CAI processes configurations and changes Provide training and support to users on CAI tools and best practices Primary Skills 4 Strong experience in Informatica IDMC CDICDQ Working on IDMC services like Cloud Application Integration Application Integration Console API Manager In depth knowledge and experience of XQuery language Designing and Configuring CAI processes to create SOAPREST endpoints Configuring Assets like Process Objects Service Connectors App Connectors Guides Usage and applicability of steps like Assignment Decision Jump Parallel Paths Throw Service Subprocess Milestone Create Debugging and resolving CAI process issueserrors Configuring Event based process for file processing Converting java based webservices to CAI based APIs Import/Export config and migrating config from one org to another Documenting CAI processes service and app connectors and APIs SQL Secondary Skills Implementation experience on converting existing webservices any language to IDMC CAI based APIs Java knowledge and understanding Soft Skills Excellent written and verbal communication skills experience working with crossfunctional teams and presenting to leadership Strong ability to work with client stakeholders Mandatory Skills : ANSI-SQL, Dimensional Data Modeling, IICS - IDMC, Informatica DVO, Informatica PowerCenter

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.You'll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement — safely, responsibly, and at scale.Join a team that values speed, openness, and ownership — and be part of the company that's changing healthcare through data and AI. About The Role We are looking for a visionary Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccer's AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.You'll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI Platform Align product strategy with Innovaccer's AI-first approach and broader business goals Drive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccer's platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflows Agent frameworks with planning, memory, and tools integration Evaluation pipelines for safety, fairness, and domain alignment Model orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AI Stay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act) Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI products Partner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 14+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure products Proven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applications Deep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluation Hands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure) Ability to communicate complex concepts to both technical and business audiences Experience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.) Knowledge of AI safety, explainability, and compliance in regulated environments Published thought leadership or contributions to AI communities, open-source, or technical working groups We offer competitive benefits to set you up for success in and outside of work. Here's What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where And How We Work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .