6303 Retrieval Jobs - Page 39

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with one or more general purpose programming languages, including Java, C/C++ or Python. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Experience in Machine Learning or Artificial Intelligence. Experience in applications security, cryptography, network security, systems security or malware analysis. 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. 1 year of experience with UNIX/Linux or Windows environments, distributed systems, machine learning, information retrieval and TCP/IP. 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. In this role, you will have an opportunity to work with our product teams to directly engage customers and partners to help define cutting edge enterprise cybersecurity solutions. You will work on distributed planet scale security services.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Design and develop key components of security services in the realm of AI security for Google Cloud. Collaborate with peers and area Team Leads to undertake a productization of Secure AI initiatives. Ensure high standards of production availability and reliability of these services while sharing the on-call responsibilities with rest of the engineering team. Contribute towards building technical capabilities in the India team by mentoring/coaching other team members. 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 .

You're an engineer who doesn't tolerate bad code, slow deployments, or outdated development practices. You don't just write software—you build AI-driven systems that make traditional engineering look sluggish and inefficient. If that sounds like you, keep reading. Most software teams are still writing code the old way—manual debugging, trial-and-error deployments, and features that barely leverage AI beyond a sprinkle of Copilot suggestions. Trilogy is different. Every part of our development process is infused with AI: feature ideation, bug detection, defect resolution, and performance optimization. This isn't about dabbling in AI tools; this is about fully integrating AI into the software lifecycle to eliminate waste, ship faster, and build with precision. In this role, you will take existing B2B products, break them down, rebuild them as cloud-native applications, and optimize them with AI at every level. You'll be developing and deploying AI-powered features, using cutting-edge retrieval-augmented generation (RAG) for automated defect detection, and ensuring every release is smooth—zero outages, zero disruptions, zero excuses. If you're looking for a job where you spend weeks debating architecture decisions instead of shipping, this isn't it. If you're ready to push the boundaries of AI-driven software engineering and accelerate your career into high-scale cloud-native development, apply now. If you prefer sticking to what you already know, writing test cases by hand, or working in teams that are afraid of automation, this isn't for you. What You Will Be Doing Using analysis tools and RAG vector stores to identify, diagnose, and correct product defects and fix bugs. Leveraging AI development agents to design, develop, and deploy innovative features for cloud-native applications. Collaborating with a global team to deliver high-quality, enterprise-grade solutions. What You Won’t Be Doing Routine Monotony: We keep cumbersome infrastructure tasks to a minimum so you can focus on creating innovative solutions. Endless Meetings: We value your expertise in development over sitting in meeting rooms. Expect more coding, less talking. Back End Developer Key Responsibilities Implement AI-driven features to streamline workflows and empower service providers with innovative tools. Basic Requirements 4+ years of professional experience in commercial software development, focusing on production code for server-side web applications Experience using GenAI code assistants (e.g., Github Copilot, Cursor, v0.dev); we are not looking for traditional ML engineers without LLM experience A willingness to use GenAI in your day-to-day development work About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-3889-IN-Kolkata-BackEndDevelop.010

About The Job Sanofi is a pioneering global healthcare company committed to advancing the miracles of science to enhance the well-being of individuals worldwide. Operating in over 100 countries, our dedicated team is focused on reshaping the landscape of medicine, transforming the seemingly impossible into reality. We strive to provide life-changing treatment options and life-saving vaccines, placing sustainability and social responsibility at the forefront of our aspirations. Embarking on an expansive digital transformation journey, Sanofi is committed to accelerating its data transformation and embracing artificial intelligence (AI) and machine learning (ML) solutions. This strategic initiative aims to expedite research and development, enhance manufacturing processes, elevate commercial performance, and deliver superior drugs and vaccines to patients faster, ultimately improving global health and saving lives. What you will be doing:: As a dynamic Data Science practitioner, you are passionate about challenging the status quo and ensuring the development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influential leader with hands-on experience deploying AI/ML and GenAI solutions, applying state-of-the-art algorithms with technically robust lifecycle management. Your keen eye for improvement opportunities and demonstrated ability to deliver solutions in cross-functional environments make you an invaluable asset to our team. Main Responsibilities This role demands a dynamic and collaborative individual with a strong technical background, capable of leading the development and deployment of advanced machine learning while maintaining a focus on meeting business objectives and adhering to industry best practices. Key highlights include: Model Design and Development: Lead the development of custom Machine Learning (ML) and Large Language Model (LLM) components for both batch and stream processing-based AI ML pipelines. Create model components, including data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and fine-tuning, ensuring alignment with technical and business requirements. Develop and maintain full-stack applications that integrate ML models, focusing on both backend processes and frontend interfaces Collaborative Development: Work closely with data engineer, ML Ops, software engineers and other team Tech team members to collaboratively design, develop, and implement ML model solutions, fostering a cross-functional and innovative environment. Contribute to both backend and frontend development tasks to ensure seamless user experiences. Model Evaluation: Collaborate with other data science team members to develop, validate, and maintain robust evaluation solutions and tools for assessing model performance, accuracy, consistency, and reliability during development and User Acceptance Testing (UAT). Implement model optimizations to enhance system efficiency based on evaluation results. Model Deployment: Work closely with the MLOps team to facilitate the deployment of ML and Gen AI models into production environments, ensuring reliability, scalability, and seamless integration with existing systems. Contribute to the development and implementation of deployment strategies for ML and Gen AI models. Implement frontend interfaces to monitor and manage deployed models effectively. Internal Collaboration: Collaborate closely with product teams, business stakeholders, data science team members to ensure the smooth integration of machine learning models into production systems. Foster strong communication channels and cooperation across different teams for successful project outcomes. Problem Solving: Proactively troubleshoot complex issues related to machine learning model development and data pipelines. Innovatively develop solutions to overcome challenges, contributing to continuous improvement in model performance and system efficiency. Key Functional Requirements & Qualifications Education and experience: PhD in mathematics, computer science, engineering, physics, statistics, economics, operation research or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain with 3+ years of data science experience Technical skills: Disciplined AI/ML development, including CI/CD and orchestration Cloud and high-performance computing proficiency (AWS, GCP, Databricks, Apache Spark). Experience deploying models in agile, product-focused environments Full-stack AI application expertise preferred, including experience with front-end frameworks (e.g., React) and backend technologies. Communication and collaboration: Excellent written and verbal communication A demonstrated ability to collaborate with cross-functional team (e.g. business, product and digital) Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Sanofi achieves its mission, in part, by offering rewarding career opportunities which inspire employee growth and development. Our 6 Recruitment Principles clarify our commitment to you and your role in driving your career. Our people are responsible for managing their career Sanofi posts all non-executive opportunities for our people We give priority to internal candidates Managers provide constructive feedback to all internal interviewed candidates We embrace diversity to hire best talent We expect managers to encourage career moves across the whole organization Pursue Progress Discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

You’re an engineer who doesn’t tolerate bad code, slow deployments, or outdated development practices. You don’t just write software—you build AI-driven systems that make traditional engineering look sluggish and inefficient. If that sounds like you, keep reading. Most software teams are still writing code the old way—manual debugging, trial-and-error deployments, and features that barely leverage AI beyond a sprinkle of Copilot suggestions. Trilogy is different. Every part of our development process is infused with AI: feature ideation, bug detection, defect resolution, and performance optimization. This isn’t about dabbling in AI tools; this is about fully integrating AI into the software lifecycle to eliminate waste, ship faster, and build with precision. In this role, you will take existing B2B products, break them down, rebuild them as cloud-native applications, and optimize them with AI at every level. You’ll be developing and deploying AI-powered features, using cutting-edge retrieval-augmented generation (RAG) for automated defect detection, and ensuring every release is smooth—zero outages, zero disruptions, zero excuses. If you're looking for a job where you spend weeks debating architecture decisions instead of shipping, this isn’t it. If you’re ready to push the boundaries of AI-driven software engineering and accelerate your career into high-scale cloud-native development, apply now. If you prefer sticking to what you already know, writing test cases by hand, or working in teams that are afraid of automation, this isn’t for you. What You Will Be Doing Using analysis tools and RAG vector stores to identify, diagnose, and correct product defects and fix bugs. Leveraging AI development agents to design, develop, and deploy innovative features for cloud-native applications. Collaborating with a global team to deliver high-quality, enterprise-grade solutions. What You Won’t Be Doing Routine Monotony: We keep cumbersome infrastructure tasks to a minimum so you can focus on creating innovative solutions. Endless Meetings: We value your expertise in development over sitting in meeting rooms. Expect more coding, less talking. Full Stack Developer Key Responsibilities Implement AI-driven features to streamline workflows and empower service providers with innovative tools. Basic Requirements 4+ years of professional experience in commercial software development, focusing on production code for server-side web applications Experience using GenAI code assistants (e.g., Github Copilot, Cursor, v0.dev); we are not looking for traditional ML engineers without LLM experience A willingness to use GenAI in your day-to-day development work About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-3889-IN-Almora-FullStackDevel1.008

Role Overview We are seeking a highly skilled and forward-thinking Manager – Data Science & Generative AI to lead data-driven innovation within our organization. This role requires a blend of technical expertise in machine learning and GenAI, team leadership, and strategic thinking to build scalable solutions and drive business transformation through intelligent systems. As a Manager, you will lead cross-functional teams, guide AI/ML project lifecycles, and help deploy Generative AI models into real-world applications, ranging from content generation to intelligent automation. Key Responsibilities Lead the end-to-end lifecycle of data science and Generative AI projects—from problem scoping and data exploration to model deployment and performance monitoring. Manage a team of data scientists and ML engineers, providing technical guidance and mentorship. Develop and implement advanced machine learning models including deep learning, NLP, and GenAI architectures (e.g., transformers, LLMs). Collaborate with product, engineering, and business teams to identify AI opportunities, define use cases, and deploy innovative solutions. Evaluate and fine-tune pre-trained foundation models (e.g., GPT, Claude, LLaMA, Gemini) for domain-specific applications using prompt engineering, fine-tuning, or retrieval-augmented generation (RAG). Lead the creation of synthetic data, content generation, and intelligent assistants using GenAI capabilities. Drive responsible AI practices and ensure model transparency, fairness, and compliance with ethical and regulatory guidelines. Contribute to strategic roadmaps for AI adoption across the enterprise. Present findings, models, and strategies to stakeholders and senior leadership. Required Skills & Experience: 6–10 years of experience in Data Science or AI/ML, including at least 2–3 years in a managerial or lead role. Strong proficiency in Python and data science libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch). Proven experience in building and deploying ML models in production environments. Solid experience working with Generative AI tools and platforms (e.g., OpenAI APIs, Hugging Face, LangChain, Vertex AI, Azure OpenAI). Expertise in NLP, LLMs, prompt engineering, fine-tuning, and text generation. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps pipelines. Strong understanding of data engineering concepts, APIs, and scalable architectures. Excellent problem-solving, project management, and communication skills. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field (PhD is a plus). Nice to Have: Experience with Retrieval-Augmented Generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate). Familiarity with model safety, explainability (XAI), and ethical AI frameworks. Publications or contributions in AI/ML conferences or open-source projects. Hands-on experience in GenAI use cases like document summarization, chatbots, code generation, or marketing automation.

Job Description Key Responsibilities Support the development of GenAI agents and AI-based workflows under the supervision of senior engineers. Assist in creating, optimizing, and evaluating prompts for Large Language Models (LLMs) and other generative systems. Collaborate on integrating vector databases and retrieval-augmented generation (RAG) techniques to improve knowledge retrieval in AI applications. Contribute to the documentation, testing, and deployment of GenAI solutions. Participate in cross-team meetings and brainstorming sessions, sharing ideas and learning from experienced colleagues. Help develop internal tools and automation tasks to streamline processes. Stay current with emerging technologies by reading documentation, attending training, and participating in internal seminars. Qualifications Required: Bachelor’s degree (or in final year) in Computer Science, Engineering, Data Science, or related field; relevant internship or project experience considered. Programming proficiency in Python required; familiarity with JavaScript, Java, or C is a plus. Foundational knowledge of GenAI principles (LLMs, RAG, agent workflows—via coursework, internships, or personal projects). Familiarity with cloud services (AWS preferred) and version control (Git). Effective verbal and written communication skills and willingness to learn. Preferred Hands-on experience with a cloud platform (AWS, Azure, or GCP). Practical exposure to frameworks like LangChain or vector databases and basics of front-end/back-end development. Participation in research, hackathons, or open-source GenAI/ML projects. AWS, cloud, or AI certifications are a plus. Soft Skills Curiosity, willingness to ask questions, and openness to feedback. Team-oriented mindset and ability to work in a collaborative environment. Reliable, detail-oriented, and proactive about learning and contributing. Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

What You’ll Do Design, develop and deploy agent-based AI systems using LLMs Build and scale Retrieval-Augmented Generation pipelines for real-time and offline inference. Develop and optimize training workflows for fine-tuning and adapting models to domain-specific tasks. Collaborate with cross-functional teams to integrate knowledge base into agent frameworks. Drive best practices in AI Engineering, model lifecycle management, and production deployment on Google Cloud (GCP) Implement version control strategies using Git, manage code repositories and ensure best practices in code management. Develop, manage CI/CD pipelines using Jenkins or other relevant tools to streamline deployment and updates. Monitor, evaluate, and improve model performance post- deployment on Google Cloud. Communicate technical findings and insights to non-technical stakeholders. Participate in technical discussions and contribute to strategic planning. What Experience You Need Master's / Bachelors in Computer Science, Artificial Intelligence, Machine Learning, or related field. 7+ years of experience in AI/ML engineering, with a strong focus on LLM-based applications. At least 10+ years of experience in IT overall. Proven experience in building agent-based applications using Gemini, OpenAI or similar models. Deep understanding of RAG systems, vector databases, and knowledge retrieval strategies. Hands-on experience with LangChain and LangGraph frameworks. Solid background in model training, fine-tuning, evaluation and deployment. Strong coding skills in Python and experience with modern MLOps practices. What Could Set You Apart Familiarity with frontend integration of AI agents (Eg. using Angular, Mesop or similar frameworks). Experience with Google Cloud services like BigQuery, Vertex AI, Agent Builder, ADK. Exposure to Angular framework

Position Overview Job Title- Data Science Engineer, AS Location- Bangalore, India Role Description We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage Retrieval-Augmented Generation (RAG) Multi-agent frameworks Hybrid search techniques to enhance enterprise applications. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models: Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally: Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows: Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your Skills And Experience 4+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Company Description Vyva Consulting Inc. is a trusted partner in Sales Performance Management (SPM) and Incentive Compensation Management (ICM), specializing in delivering top-tier software consulting solutions. We help organizations optimize their sales operations, boost revenue, and maximize value. Our seasoned experts work with leading products such as Xactly, Varicent, and SPIFF, offering comprehensive implementation and post-implementation services. We focus on enhancing sales compensation strategies to drive business success. Role Description This is a full-time, on-site role for an Artificial Intelligence Intern, located in Hyderabad. We are seeking a motivated AI Engineer Intern to join our team and contribute to cutting-edge AI/ML projects. This internship offers hands-on experience with large language models, generative AI, and modern AI frameworks while working on real-world applications that impact our business objectives. What You'll DoCore Responsibilities LLM Integration & Development: Build and prototype LLM-powered features using frameworks like LangChain, OpenAI SDK, or similar tools for content automation and intelligent workflows RAG System Implementation: Design and optimize Retrieval-Augmented Generation systems including document ingestion, chunking strategies, embedding generation, and vector database integration Data Pipeline Development: Create robust data pipelines for AI/ML workflows, including data collection, cleaning, preprocessing, and annotation of large datasets Model Experimentation: Conduct experiments to evaluate, fine-tune, and optimize AI models for accuracy, performance, and scalability across different use cases Vector Database Operations: Implement similarity search solutions using vector databases (FAISS, Pinecone, Chroma) for intelligent Q&A, content recommendation, and context-aware responses Prompt Engineering: Experiment with advanced prompt engineering techniques to optimize outputs from generative models and ensure content quality Research & Innovation: Stay current with latest AI/ML advancements, research new architectures and techniques, and build proof-of-concept implementations Technical Implementation Deploy AI micro services and agents using containerization (Docker) and orchestration tools Collaborate with cross-functional teams (product, design, engineering) to align AI features with business requirements Create comprehensive documentation including system diagrams, API specifications, and implementation guides Analyze model performance metrics, document findings, and propose data-driven improvements Participate in code reviews and contribute to best practices for AI/ML development Required QualificationsEducation & Experience Currently pursuing or recently completed Bachelor's/Master's degree in Computer Science, Data Science, AI/ML, or related field 6+ months of hands-on experience with AI/ML projects (academic, personal, or professional) Demonstrable portfolio of AI/ML projects via GitHub repositories, Jupyter notebooks, or deployed applications Technical Skills Programming: Strong Python proficiency with experience in AI/ML libraries (NumPy, Pandas, Scikit-learn) LLM Experience: Practical experience with large language models (OpenAI GPT, Claude, open-source models) including API integration and fine-tuning AI Frameworks: Familiarity with at least one: LangChain, OpenAI Agents SDK, AutoGen, or similar agentic AI frameworks RAG Architecture: Understanding of RAG system components and prior implementation experience (even in academic projects) Vector Databases: Experience with vector similarity search using FAISS, Chroma, Pinecone, or similar tools Deep Learning: Familiarity with PyTorch or TensorFlow for model development and fine-tuning Screening Criteria To effectively evaluate candidates, we will assess: Portfolio Quality: Live demos or well-documented projects showing AI/ML implementation Technical Depth: Ability to explain RAG architecture, vector embeddings, and LLM fine-tuning concepts Problem-Solving: Approach to handling real-world AI challenges like hallucination, context management, and model evaluation Code Quality: Clean, documented Python code with proper version control practices Preferred QualificationsAdditional Technical Skills Full-Stack Development: Experience building web applications with AI/ML backends Data Analytics: Proficiency in data manipulation (Pandas/SQL), visualization (Matplotlib/Seaborn), and statistical analysis MLOps/DevOps: Experience with Docker, Kubernetes, MLflow, or CI/CD pipelines for ML models Cloud Platforms: Familiarity with AWS, Azure, or GCP AI/ML services Databases: Experience with both SQL (PostgreSQL) and NoSQL (Elasticsearch, MongoDB) databases Soft Skills & Attributes Analytical Mindset: Strong problem-solving skills with attention to detail in model outputs and data quality Communication: Ability to explain complex AI concepts clearly to both technical and non-technical stakeholders Collaboration: Proven ability to work effectively in cross-functional teams Learning Agility: Demonstrated ability to quickly adapt to new technologies and frameworks Initiative: Self-motivated with ability to work independently and drive projects forward What We OfferProfessional Growth Mentorship: Work directly with senior AI engineers and receive structured guidance Real Impact: Contribute to production AI systems used by real customers Learning Opportunities: Access to latest AI tools, frameworks, and industry conferences Full-Time Conversion: Potential for full-time offer based on performance and business needs Work Environment Employee-First Culture: Flexible work arrangements with emphasis on results Innovation Focus: Opportunity to work on cutting-edge AI applications Collaborative Team: Supportive environment that values diverse perspectives and ideas Competitive Compensation: Market-competitive internship stipend Application RequirementsPortfolio Submission Please include the following in your application: GitHub Repository: Link to your best AI/ML projects with detailed README files Project Demo: Video walkthrough or live demo of your most impressive AI application Technical Blog/Documentation: Any technical writing about AI/ML concepts or implementations Resume: Highlighting relevant coursework, projects, and any AI/ML experience Technical Assessment Qualified candidates will complete a technical assessment covering: Python programming and AI/ML libraries LLM integration and prompt engineering RAG system design and implementation Vector database operations and similarity search Model evaluation and optimization techniques Ready to shape the future of AI? Apply now and join our team of innovative engineers building next-generation AI solutions.

Job Description Preparation, Review & approval of investigation reports, risk assessment, impact assessment reports and other documents as an when required. Handling of product quality complaint (Adverse Event) related to Pharmacovigilance and market complaint investigations in CHEX system as per procedure in co-ordination with Pharmacovigilance team for adverse events as applicable. Handling of ENSUR system for issuance & retrieval of SOPs, specification, ATRs, work sheet & stability protocol management, BMR, BPR, BFR as on when required. Ensure the document control, archival, retention and destruction as defined in the procedure as and when required. Master and obsolete copies management for SOPs, specification, ATRs, work sheet & stability protocol, BMR, BFR, BPR etc. Tracking of SOPs, procedures, specifications etc. for revision as per the validity period. Responsible for archival management i.e. Archival and retrieval of documents as on when required. Review the quality system documents such are protocols, reports, procedures, APQR, trend analysis reports, continual process verification reports etc. as on when required. Sharing the documents to the RA department for filing updation based on change control implementation. Preparation, review of customer, external audits compliance reports etc. Review and approval of analytical reports such are batch analysis, standards, stability study etc. GMP verification and compliance review. Comply with SHE Guidelines, SHE Rules and Regulations comply with usage of PPE wherever applicable. Qualifications Bachelor Degree in Pharmacy/B.Sc/M.sc/B.Tech in Chemical About Us In the three decades of its existence, Piramal Group has pursued a twin strategy of both organic and inorganic growth. Driven by its core values, Piramal Group steadfastly pursues inclusive growth, while adhering to ethical and values-driven practices. Equal employment opportunity Piramal Group is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, ethnicity, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetics, or other applicable legally protected characteristics. We base our employment decisions on merit considering qualifications, skills, performance, and achievements. We endeavor to ensure that all applicants and employees receive equal opportunity in personnel matters, including recruitment, selection, training, placement, promotion, demotion, compensation and benefits, transfers, terminations, and working conditions, including reasonable accommodation for qualified individuals with disabilities as well as individuals with needs related to their religious observance or practice. About The Team Piramal Critical Care (PCC), under Piramal Pharma Limited (PPL), a subsidiary of Piramal Enterprises Limited, is the third largest producer of Inhaled Anaesthetics and a global player in hospital generics. Motivated by its vision to deliver critical care solutions for patients and healthcare providers across the globe, PCC is committed to enabling sustainable and profitable growth for all its stakeholders. PCC maintains a wide presence across the USA, Europe and more than 100 countries across the globe. Its rich product portfolio includes Inhalation Anaesthetics such as Sevoflurane, Isoflurane and Halothane as well as Intrathecal Baclofen therapy, for spasticity management. PCC has wholly-owned, state-of-the-art manufacturing facilities in the US and India that have successfully cleared periodical inspections by the US FDA, UK MHRA and other regulators. Its core strength lies in a highly qualified global workforce of more than 400 employees across 16 countries. PCC is focused on further expanding its global footprint through new product additions in the critical care space. Committed to corporate social responsibility alongside Piramal Group, PCC collaborates with various partner organizations and proudly takes an active role in providing hope and resources to those in need, as well as caring for the environment.

Job Description Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges! As an AI/ML Senior Associate, you'll primarily focus on applying Large Language Models (LLM) and Generative AI (GenAI) on different use cases and detailed technical documentation of these AI/ML and LLM/GenAI solutions. You will also engage in some traditional AI/ML model development and documentation to enhance organizational efficiency. You'll contribute to building, implementing, testing, and analyzing ML/AI solutions. Your success will depend on your ability to understand data relationships, use data-driven solutions, and effectively document these products. Strong communication skills are essential for collaborating with key stakeholders across functions and lines of business. Job Responsibilities Develop and document innovative AI/ML models with a focus on GenAI and LLM use cases (using out-of-the-box models). Execute AI/ML model development, ensuring alignment with organizational goals. Document use cases and technical solutions. Apply out-of-the-box LLM products to address various business challenges and create efficiencies. Collaborate with cross-functional teams to identify opportunities for AI/ML integration. Conduct experiments and validate hypotheses to ensure the effectiveness of AI/ML solutions. Provide insights and recommendations based on data analysis and model outcomes. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands on experience in AI/ML development and application. BS degree in a related field, such as Data Science, Computer Science, Engineering, or similar STEM discipline. Strong understanding of GenAI and LLM technologies and their applications. Experience working with Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, including their design, implementation, and optimization Experience with the use of system prompting, prompt tuning, vector databases and implementing effective guardrails to ensure safe and reliable AI interactions and understanding of AI libraries such as (AutoGen, Langchain, Pydantic, LangGraph) Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Proficiency in programming languages such as Python or R for AI/ML model development/deployment. Experience with AI/ML frameworks and libraries. Ability to translate complex technical concepts into clear documentation and presentations. Strong problem-solving skills and a creative approach to AI/ML application. Preferred Qualifications, Capabilities, And Skills Experience in applying AI/ML solutions in industries such as finance, or technology. Deep understanding of traditional AI/ML techniques as well as GenAI/LLM models. Excellent communication skills for collaboration with stakeholders at various levels.Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges!

Weʼre looking to automate our internal operations using cutting-edge agentic AI and LLM-driven tools. This effort will be led by the founding team in close collaboration with a dedicated Generative AI Engineer , who will help implement intelligent automation — and later scale it for external clients and products . Key Responsibilities Work closely with the leadership team to map internal processes that can benefit from AI-based automation (e.g., document handling, research synthesis, client onboarding, code generation, workflow orchestration). Build internal tools using LLMs and agent frameworks (LangChain, OpenAI Functions, AutoGen, CrewAI, etc.) for semi-autonomous task execution. Prototype, test, and refine agentic applications that integrate with internal systems (e.g., Notion, Slack, GitHub, Airtable, email, databases). As the automation matures internally, support the transition to external automation offerings for clients across domains. Maintain a portfolio of your work in GitHub, and contribute reusable components to the broader engineering team. Minimum Qualifications Bachelorʼs or Masterʼs degree in Computer Science, AI, Data Science, or a related technical field. Solid programming skills in Python and experience building backend services, APIs, or automation tools. Demonstrated ability to build and maintain agent-based apps using tools like LangChain, CrewAI, LlamaIndex , or custom orchestration frameworks. A strong GitHub portfolio of previous automation projects or agentic AI applications (personal or professional). Familiarity with REST APIs, cloud services (AWS/GCP), and tools like Docker, FastAPI, or Streamlit. Preferred Qualifications Experience integrating LLMs with external APIs and multi-step workflows (e.g., form parsing + summarization + ticket generation). Familiarity with tools like Zapier , Make , Airflow , or custom workflow engines . Understanding of retrieval-augmented generation (RAG) , embeddings, and prompt engineering best practices. Entrepreneurial mindset with a willingness to explore ambiguous spaces and iterate rapidly. What We Offer A unique opportunity to work directly with founders and AI researchers on defining the next era of automation. A fast-paced, early-stage startup culture with a focus on delivery, ownership, and learning . ESOPs , competitive compensation, and access to high-end compute infrastructure. Long-term growth opportunity to lead automation efforts both internally and across external enterprise deployments . How to Apply Apply on Linkedin with your GitHub portfolio , and a brief statement describing 1-2 agentic apps you've built.

Baby Joy Fertility & IVF Hiring: Position: IVF Specialist/Consultant Experience: 2-3 years in IVF & Reproductive Medicine Education & Qualifications: MBBS with MD/MS/DNB in [Obstetrics & Gynecology] Fellowship or Certification in Reproductive Medicine / IVF (Preferred) Location: Delhi Job Responsibilities : Diagnose and treat infertility conditions in male and female patients Develop and implement individualized fertility treatment plans Perform IVF procedures, including ovarian stimulation, egg retrieval, embryo transfer, and ICSI Conduct ultrasounds, hysteroscopies, and other reproductive diagnostic tests Oversee hormonal treatments and medications for patients Coordinate with embryologists and andrologists for lab procedures Counsel patients on fertility treatments, success rates, and potential risks Stay updated with advancements in reproductive medicine and attend conferences/workshopsSkills & Competencies: In-depth knowledge of Assisted Reproductive Technology (ART) Proficiency in IVF-related surgical procedures Strong communication and patient counseling skills Ability to work in a multidisciplinary team Compassionate and ethical approach to patient care Share your resume hr@babyjoyivf.com/call on Jisha HR 7838291747

Minimum qualifications: Bachelor's degree in Electrical, Electronics or Computer Engineering, or equivalent practical experience. 2 years of experience in development, testing and deployment of consumer electronics/embedded systems. Experience with Embedded Systems, Devices, C, C++, Kernel, Device Drivers, Linux, Firmware. Experience with embedded programming in C/C++. Preferred qualifications: Experience in Electrical, Electronics or Computer Engineering with competencies in Embedded domain, data structures, algorithms, and software design. Experience in working closely with hardware designers and reading schematics. Experience with Advanced RISC Machine (ARM) or other low-power SoC architectures, memory system, interconnects etc. Experience in Performance/power analysis and optimization. Knowledge of embedded systems development, Real-Time Operating System (RTOS) concepts, device drivers and hardware/software integration. Knowledge of Advanced RISC Machine (ARM), system BIOS, Linux kernel, device drivers. 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. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Design software applications for developers, and let them make use of hardware accelerators seamlessly in a timely manner. Implement and validate firmware and Linux drivers for optimal power consumption and performance. Design, develop, and test embedded software drivers for the next generation of smart devices. 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. Write product or system development code. 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 .

We are looking for a Generative AI Applied Scientist to join our core research team in Mysore. This is a high-impact, high-ownership role for those who thrive at the intersection of deep research , problem discovery , and real-world deployment . Key Responsibilities Proactively identify high-value problem areas where generative AI can deliver measurable impact. Translate ambiguous or emerging needs into well-defined ML tasks and deliver production-grade solutions . Design and develop custom generative models (e.g., Transformers, LLMs, Diffusion Models, VAEs). Own the end-to-end lifecycle of model development — from prototyping to cloud/API deployment . Good communication skills that involve being able to talk to customers, identify problem statements, and communicate impactful results. Collaborate across research, product, and engineering teams to embed generative AI into vertical solutions. Required Qualifications PhD or Masters Thesis with 5 + years in Computer Science, Machine Learning, AI, or a closely related field. Strong research track record with publications in top-tier conferences (e.g., IEEE TPAMI, CVPR, ICML, ICLR, NeurIPS, ACL ). Expertise in deep generative models , representation learning , and probabilistic methods . Experience in building models that solve real-world problems and can be scaled into production systems . Fluency in Python and modern ML stacks (e.g., PyTorch, JAX, Hugging Face). Willingness to work onsite in Mysore and collaborate across time zones with the US-based HQ. Involves travel about 25-50% to client locations. Preferred Qualifications Experience in LLM fine-tuning , multimodal systems , or diffusion-based generation . Familiarity with retrieval-augmented generation , causal inference , or workflow agents . Experience deploying models via Docker, ONNX, or cloud-native APIs (AWS/GCP). A track record of discovering novel application areas and developing first-of- their-kind solutions. What We Offer A fast-paced startup environment backed by cutting-edge research and global customers. ESOPs/Equity and competitive compensation. Access to high-performance compute (A100s, H100s), internal datasets, and modern MLOps tooling. Clear runway for career growth , technical leadership , and IP ownership . A collaborative and ambitious team working on some of the most important problems in applied AI- from Mysore and Palo Alto . How to Apply Apply on Linkedin with a brief note on your research and impact, and links to relevant publications, GitHub, or demos.

Job Title Data Analyst Expert Job Description Job title: Data Analyst Expert Your role: Analyzes complex and multi-dimensional datasets across various business units to uncover deep insights that inform high-level strategic decisions and drive business performance. Creates sophisticated data models and predictive analytics using advanced statistical techniques and machine learning algorithms to forecast trends and optimize business outcomes, working under general supervision. Implements scalable ETL (Extract, Transform, Load) pipelines and robust data integration solutions, ensuring data consistency, accuracy, and reliability across the organization. Provides inputs on data architecture and infrastructure improvements, advising on best practices for data storage, retrieval, and management to enhance system performance and scalability. Ensures compliance with global data privacy regulations (such as GDPR and HIPAA) by designing and enforcing comprehensive data governance frameworks and security protocols. Conducts advanced statistical analyses, including hypothesis testing and multivariate analysis, to validate business strategies and provide evidence-based recommendations for process enhancements. Evaluates the effectiveness of implemented data solutions using performance metrics and feedback loops, continuously refining analytical approaches to improve outcomes. Benchmarks existing data analytics tools and technologies, leading the selection and integration of state-of-the-art solutions to maintain a competitive edge and drive innovation. Supports the execution of enterprise-wide data strategies, providing thought leadership and expert guidance in data analytics, business intelligence, and data science methodologies. Identifies opportunities for automation and process optimization, leveraging artificial intelligence, machine learning, and advanced analytics to enhance data processing efficiency and decision-making accuracy. You're the right fit if: (4 x bullets max) Experience- 5+ Industry Experience in Data Analysis, SQL, ETL Skills: Data Analysis & Interpretation Data Harmonization & Processing Statistical Methods Statistical Programming Software Business Intelligence Tools Data Mining Machine Learning Engineering Fundamentals Research & Analysis Structured Query Language (SQL) Regulatory Compliance Education- Bachelor's degree in Any Engineering Anything else- Must have strong communication skill. How We Work Together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. Indicate if this role is an office/field/onsite role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.

Technomine Group of Companies - Senior Talent Acquisition What we Offer Competitive Salary Opportunities for Career Growth and Development A dynamic and collaborative work environment About Technomine: Founded in 2008, we are a client centric Business Process Outsourcing and Knowledge Process Outsourcing partner based in India providing high quality services to our clients across the globe in the United States, United Kingdom, Europe and the Middle East. We primarily serve clients operating in the Video Surveillance, Travel Industry, Healthcare Industry, Medical Record Retrieval, Accounting Services, Recruitment firms and IT enabled Enterprise solutions. Our representatives can provide you with on-site support across the globe if required. With over sixteen years of experience and excellence in service, we have been a trusted business partner to our clients. At Technomine, we bridge the gap between talent and opportunity, offering Marketing Specialists the chance to collaborate with dynamic companies across the UK, USA, Canada, and Australia. Our network is a vibrant ecosystem of innovative businesses, each committed to excellence in their fields. As a Marketing Specialist within our umbrella, you'll gain invaluable exposure to diverse markets, cutting-edge strategies, and the latest industry trends. With Technomine, you're not just joining a company; you're stepping into a global arena where your skills can thrive and your ideas can shine. We are looking for an enthusiastic Marketing Specialist to join us & be part of a new growing team with excellent career growth opportunities in near future. "We are seeking HR professionals with proven experience in BPO, KPO, or the Travel sector." Experience: 3.5 to 5 Years of relevant experience in Talent Acquisition Role. Work Schedule: Shift: 11:00 AM – 08:00 PM IST / 11:30 AM to 08:30 PM Days: Monday – Saturday ( 6 Days Working ) Benefits: Food provided Leave encashment Provident Fund Schedule: Fixed shift Supplemental Pay: Yearly Bonus Education: Bachelor's (Preferred) Experience: Total Work: 3 year (Required) Language: English (Required) Location: Navrangpura, Ahmedabad, Gujarat (Required) Work Location: In person Objectives of this role Provide input to ensure that teams consist of diverse, qualified individuals Ensure that staffing needs are being met with a long-term strategy in mind Devise and implement sourcing strategies, such as an employer branding initiative, to build pipelines for potential applicants Create and implement end-to-end hiring processes to ensure a positive experience for candidates Form close relationships with hiring managers to ensure clear expectations for candidates and interviewers Responsibilities Coordinate with hiring managers to identify staffing needs and candidate selection criteria Source applicants through online channels, such as LinkedIn, Indeed and other professional networks Create job descriptions and interview questions that reflect the requirements for each position Compile lists of most-suitable candidates by assessing their CVs, portfolios, and references Organize and attend job fairs and recruitment events to build a strong candidate pipeline Maintain records of all materials used for recruitment, including interview notes and related paperwork, to share with key stakeholders Take a Screening round of interviews and align the candidate according to our requirements. Make sure Turn Around Time for each profile is not extending. Maintain Records of hiring every month and recruiters ( Interview, Show Up, Selected, Rejected ) Maintain Strong Database of Niche requirements. Guide Recruitment Team according to the priority of the open positions Experience in conducting Recruitment Drive in Colleges Required skills and qualifications Two or three years of experience in a talent acquisition or similar role Experience in full-cycle recruiting, using various interview techniques and evaluation methods Proficiency with social media, CV databases, and professional networks Experience in using LinkedIn Talent Solutions to proactively source candidates Proficiency in documenting processes and keeping up with industry trends Excellent interpersonal and communication skills Preferred skills and qualifications Bachelor’s degree (or equivalent) in human resources management or similar field Knowledge of applicant tracking systems Professional credentials, such as HR Certification Institute

Job Title: Manager Finance eGov is a global, mission-driven organization and a catalyst for digital transformation in public service delivery. We are a multi-disciplinary team of technologists, policy thinkers, program specialists, and problem solvers united by a shared mission — to reimagine how essential public services are designed and delivered, making them equitable, accessible, and transparent for all Our open-source platform, DIGIT, enables countries to build and scale digital public infrastructure (DPI) across sectors like health, sanitation, water, public finance, and climate. We collaborate closely with governments, communities, and ecosystem partners to drive sustainable, at-scale transformation. Over the past two decades, eGov has partnered with 10+ countries and 2,600+ towns and cities in India, improving the lives of over 1.8 billion people. We’ve helped power national missions, deliver billions of vaccine certificates, and support governments to design and sustain digital infrastructure needed to deliver public services at scale. Why work with us? Create massive societal impact through your work Be part of a team using technology to solve real-world problems and improve lives Receive mentorship from world-class people and access rich global ecosystems Grow your skills in a culture that values innovation, collaboration, and excellence Enjoy Competitive Compensation And Benefits That Exceed Industry Standards Read more about our work: https://egov.org.in At eGov, we are committed to creating a diverse, equitable, and inclusive workplace. We actively seek to recruit, develop, and retain talented individuals from all backgrounds. As an equal opportunity employer, we welcome people from all experiences, abilities, and perspectives to join our mission. Location: Bengaluru, India Reports To: Director - PMO and Finance Type: Full-time Role Summary The Manager - Finance will manage the organisation’s financial operations, compliance, reporting, budgeting, and vendor management. This role is critical in ensuring fiscal discipline, transparency, and alignment of financial planning with programmatic outcomes. The individual will also coordinate audits, manage grants, and enable data-driven financial decisions across the organisation. Key Responsibilities Bookkeeping & Financial Systems Manage day-to-day financial accounting and bookkeeping using ERP systems. Ensure accurate and timely recording of financial transactions, and book the expenses against specific grants. Mentor and supervise outsourced accounting activities for eGov and group companies. Budgeting & Forecasting Lead the annual budgeting process in collaboration with leadership and initiative heads. Collect and consolidate data on headcounts, travel, and operational requirements. Review budgets against actuals periodically and update forecasts accordingly. Financial Reporting & MIS Prepare and present monthly MIS reports for management including: Initiative-wise expenditure Grant-wise utilisation Function-based cost allocation Trend analysis and cash flow projections Variance Analysis Analyse financial data to allocate costs across multiple initiatives and functions. Enable data-driven decision-making with timely insights and variance analysis. Track and manage burn rate for each grant. Grants & Donor Reporting Coordinate with initiative leaders to submit timely and accurate financial reports/Utilisation Certificates to donors/funders. Monitor grant conditions and ensure compliance with donor financial requirements. Maintain documentation of all grants, agreements, and supporting records on a regular basis. Compliance & Audits Ensure adherence to statutory compliance including TDS, GST, FCRA, Income Tax, and other local compliances, as applicable. Liaise with internal and external auditors for timely completion of audits and closure of audit findings. Maintain a compliance calendar and ensure timely filing and documentation. Vendor & Contract Management Manage all financial aspects of vendor relationships, including: Contracts and agreements Invoices, payments, TDS, and GST processing Vendor reporting and reconciliation Maintain updated records for vendor contracts and legal documentation. Documentation & Records Act as custodian of all financial records including agreements, contracts, grant documents, and audit files. Establish and maintain structured digital and physical filing systems for easy retrieval and reference. Collaboration & Coordination Work closely with initiative leaders to ensure appropriate resource and cost allocation. Provide finance-related guidance to project teams to ensure alignment with budget and compliance. Act as liaison between eGov, Equidhi, and auditors for shared financial operations. Qualifications & Experience CA Inter or MBA (Finance) with 6+ years of relevant experience. Experience in NGO or social sector finance is preferred. Strong command of Indian Accounting Standards/ Accounting Standards, statutory regulations, and NGO-specific compliances (FCRA, 12A/80G, etc.). Proficiency in ERP systems like Tally, Zoho Books, Excel (advanced), and MIS reporting tools. Key Competencies Analytical thinking and data interpretation Attention to detail and high accuracy Strong communication and interpersonal skills Ability to work independently and manage multiple priorities High integrity and ownership of financial stewardship Collaborative and service-oriented mindset Desirable Attributes Exposure to donor-funded projects and multi-partner environments Familiarity with digital tools for budgeting, documentation, and reporting Proactive in process improvements and system implementations

Responsibilities We are looking for exceptional engineers who consistently deliver outsized impact through deep technical expertise, rapid problem-solving, and strong ownership. Ideal candidates will not only write high-quality, scalable code but also influence architectural decisions, mentor team members, and build tools or frameworks that enhance team productivity. If you thrive in fast-paced environments, think systemically, and are passionate about driving both technical excellence and business outcomes, you’ll fit right in. This is a unique opportunity to shape our AI architecture, steer product direction, and drive innovation on a scale. Key Responsibilities Lead architectural design of AI-first systems that integrate LLMs, RAG pipelines, and agentic workflows. Takes full responsibility for projects — from concept to deployment and support Design scalable, cloud-native infrastructure for secure, low-latency GenAI deployments. Delivers high-quality code rapidly, often automating or optimizing repetitive tasks Deep knowledge of programming languages, algorithms, system design, and debugging. Able to solve complex problems quickly and efficiently. Define AI platform strategies including model selection, orchestration layers, data pipelines, and inference stacks. Architect modular APIs and reusable GenAI components across teams and product lines. Elevates the team, mentors others, communicates effectively Collaborate with engineering, product, and data science to bring AI capabilities to production rapidly. Evaluate, implement, and optimize LLMs (e.g., GPT, Claude, LLaMA) and vector databases (e.g., Pinecone, Qdrant). Champion best practices in AI safety, model governance, and performance monitoring. Sees the big picture — understands architecture, scalability, and maintainability Qualifications Required Qualifications 10+ years of experience in software architecture and engineering, including 3–5 years in AI/ML systems. Deep hands-on experience with LLM APIs (OpenAI, Anthropic, Mistral) and GenAI tools (LangChain, LlamaIndex,Temporal, AutoGen). Proven experience architecting production-grade GenAI or ML-powered products. Expertise in system design, microservices, API architecture, and distributed systems. Proficient in Python and one backend/system-level language, Net Strong understanding of model training pipelines, retrieval systems, embeddings, and cloud AI infra. Familiar with MLOps, Kubernetes, and CI/CD for AI model deployment. Preferred Experience with multi-modal AI, agentic systems, or domain-specific fine-tuning. Exposure to AI regulations, ethical AI frameworks, and prompt security. Contributions to AI/ML open source or published research. Ability to mentor cross-functional teams and lead architecture councils. About Us With unmatched technology and category-defining innovation, Icertis pushes the boundaries of what’s possible with contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform turns contracts from static documents into strategic advantage by structuring and connecting the critical contract information that defines how an organization runs. Today, the world’s most iconic brands and disruptive innovators trust Icertis to fully realize the intent of their combined 10 million contracts worth more than $1 trillion, in 40+ languages and 93 countries. About The Team Who we a re: Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners, and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination. Icertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to careers@icertis.com or get in touch with your recruiter.

Summary: We are seeking a talented and motivated AI Engineer to join our team and focus on building cutting-edge Generative AI applications. The ideal candidate will possess a strong background in data science, machine learning, and deep learning, with specific experience in developing and fine-tuning Large Language Models (LLMs) and Small Language Models (SLMs). You should be comfortable managing the full lifecycle of AI projects, from initial design and data handling to deployment and production monitoring. A foundational understanding of software engineering principles is also required to collaborate effectively with engineering teams and ensure robust deployments. Responsibilities: Design, develop, and implement Generative AI solutions, including applications leveraging Retrieval-Augmented Generation (RAG) techniques. Fine-tune existing Large Language Models (LLMs) and potentially develop smaller, specialized language models (SLMs) for specific tasks. Manage the end-to-end lifecycle of AI model development, including data curation, feature extraction, model training, validation, deployment, and monitoring. Research and experiment with state-of-the-art AI/ML/DL techniques to enhance model performance and capabilities. Build and maintain scalable production pipelines for AI models. Collaborate with data engineering and IT teams to define deployment roadmaps and integrate AI solutions into existing systems. Develop AI-powered tools to solve business problems, such as summarization, chatbots, recommendation systems, or code assistance. Stay updated with the latest advancements in Generative AI, machine learning, and deep learning. Qualifications: Proven experience as a Data Scientist, Machine Learning Engineer, or AI Engineer with a focus on LLMs and Generative AI. Strong experience with Generative AI techniques and frameworks (e.g., RAG, Fine-tuning, Langchain, LlamaIndex, PEFT, LoRA). Solid foundation in machine learning (e.g., Regression, Classification, Clustering, XGBoost, SVM) and deep learning (e.g., ANN, LSTM, RNN, CNN) concepts and applications. Proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). Experience with data science principles, including statistics, hypothesis testing, and A/B testing. Experience deploying and managing models in production environments (e.g., using platforms like AWS, Databricks, MLFlow). Familiarity with data handling and processing tools (e.g., SQL, Spark/PySpark). Basic understanding of software engineering practices, including version control (Git) and containerization (Docker). Bachelor's or master’s degree in computer science, Artificial Intelligence, Data Science, or a related quantitative field. Preferred Skills: Experience building RAG-based chatbots or similar applications. Experience developing custom SLMs. Experience with MLOps principles and tools (e.g., MLFlow, Airflow). Experience migrating ML workflows between cloud platforms. Familiarity with vector databases and indexing techniques. Experience with Python web frameworks (e.g., Django, Flask). Experience building and integrating APIs (e.g., RESTful APIs). Basic experience with front-end development or UI building for showcasing AI applications. Qualifications Bachelorʼs or Masterʼs degree in Computer Science, Engineering, or a related discipline.

Banyan Software provides the best permanent home for successful enterprise software companies, their employees, and customers. We are on a mission to acquire, build and grow great enterprise software businesses all over the world that have dominant positions in niche vertical markets. In recent years, Banyan was named the #1 fastest-growing private software company in the US on the Inc. 5000 and amongst the top 10 fastest-growing companies by the Deloitte Technology Fast 500. Founded in 2016 with a permanent capital base setup to preserve the legacy of founders, Banyan focuses on a buy and hold for life strategy for growing software companies that serve specialized vertical markets. Job Profile Banyan is seeking a skilled AI/ML Engineer to join our Tech & Data Strategy team in Chennai. The ideal candidate excels in Python, has hands-on language model experience, and a strong personal interest in AI, staying up to date with the latest developments. This position is perfect for those passionate about AI and using it to evolve enterprise processes, while being adept at navigating complex challenges and skilled in integrating applications within a collaborative team setting. You’ll be responsible for architecting end-to-end ML solutions—building RAG-based pipelines, managing vector stores, tuning retrieval workflows, and integrating with downstream prompts. Working closely with the onshore team in Canada/US, you will become an analytical change agent and have broad exposure to our business as you help us identify and roll out AI solutions to accelerate our processes across M&A and Business Development. If you're driven by data, thrive on overcoming challenges, and are excited by the idea of working in a startup-like environment that values fresh ideas, we invite you to join Banyan in Chennai. Responsibilities AI Strategy and Implementation: Design, develop and execute AI strategies for our BD and M&A teams at scale using advanced language models. Language Model Expertise: Utilize hands-on experience with GPTs and other language models to drive AI initiatives. Data Analysis and Prediction: Analyze data to make accurate predictions and improve decision-making processes. Custom AI Applications: Develop and deploy bespoke AI applications leveraging Open AI APIs—designing prompts, managing authentication, ensuring secure integrations, and optimizing performance. Integrations: Seamlessly integrate AI solutions with our existing technology stack to access and analyze CRM data. Optimization: Monitor system performance continuously, identifying and executing optimizations to enhance overall effectiveness. ML Ops & CI/CD: Build, maintain and automate end-to-end model training, testing, deployment and versioning pipelines. Monitoring & Governance: Implement monitoring, alerting and bias/fairness checks to ensure models stay accurate, compliant and performant in production. Collaboration and Innovation: Work collaboratively within the team, contributing to innovative solutions and fostering a culture of continuous improvement. Qualifications For Success Strong Understanding of Natural Language Processing (NLP): Proficiency in NLP concepts and techniques, including text generation, sentiment analysis, and entity recognition. Technical Proficiency in AI and Machine Learning: Knowledge of machine learning algorithms, model training, and fine-tuning, especially in the context of language models. Experience with LLM APIs: Proven hands-on experience integrating and using GPT-style models and APIs—whether from Open AI, Anthropic, Google, or similar vendors—in a production environment. Experience with RAG Pipelines: Architecting and implementing end-to-end RAG workflows, including vector store management, embedding model tuning, document retrieval orchestration, and seamless integration of retrieved context into downstream prompts. Programming Skills: Strong proficiency in Python and experience with AI frameworks and libraries. Creative Thinking: Ability to craft diverse and innovative prompts that elicit desired responses from AI models. Attention to Detail: Keen attention to language specifics, including grammar, syntax, and semantic nuances, to create precise and effective prompts. Problem-Solving Skills: Capability to troubleshoot and optimize prompts to improve model performance and address issues. Domain Knowledge: Ability to design accurate, relevant prompts grounded in an understanding of financial data, modeling, company performance, and research—supporting both M&A and BD workflows. Analytical Skills: Ability to analyze model outputs and feedback to iteratively improve prompt quality and effectiveness. Communication Skills: Strong written and verbal communication skills to collaborate with team members and document prompt engineering processes. Educational Background: A bachelor's degree in computer science, data science, or a related field is preferred. Experience with financial data is a plus Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.

Responsible for developing, optimize, and maintaining business intelligence and data warehouse systems, ensuring secure, efficient data storage and retrieval, enabling self-service data exploration, and supporting stakeholders with insightful reporting and analysis. Grade - T5 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date Accountabilities What your main responsibilities are: Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity Data Integration - Connect offline and online data to continuously improve overall understanding of customer behavior and journeys for personalization. Data pre-processing including collecting, parsing, managing, analyzing and visualizing large sets of data Data Quality Management - Cleanse the data and improve data quality and readiness for analysis. Drive standards, define and implement/improve data governance strategies and enforce best practices to scale data analysis across platforms Data Transformation - Processes data by cleansing data and transforming them to proper storage structure for the purpose of querying and analysis using ETL and ELT process Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and more timely understanding of operation. Qualifications & Specifications Masters /Bachelor’s degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Strong programming skills in Python/Pyspark/SAS. Proven experience with large data sets and related technologies – Hadoop, Hive, Distributed computing systems, Spark optimization. Experience on cloud platforms (preferably Azure) and it's services Azure Data Factory (ADF), ADLS Storage, Azure DevOps. Hands-on experience on Databricks, Delta Lake, Workflows. Should have knowledge of DevOps process and tools like Docker, CI/CD, Kubernetes, Terraform, Octopus. Hands-on experience with SQL and data modeling to support the organization's data storage and analysis needs. Experience on any BI tool like Power BI (Good to have). Cloud migration experience (Good to have) Cloud and Data Engineering certification (Good to have) Working in an Agile environment 4-6 Years Of Relevant Work Experience Is Required. Experience with stakeholder management is an added advantage. What We Are Looking For Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Knowledge, Skills And Abilities Fluency in English Analytical Skills Accuracy & Attention to Detail Numerical Skills Planning & Organizing Skills Presentation Skills Data Modeling and Database Design ETL (Extract, Transform, Load) Skills Programming Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities: · Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks · Build scalable backend systems using Python, ensuring seamless integration with UI/UX components · Design and optimize generative AI models to address diverse business challenges · Fine-tune pre-trained LLMs to align with specific use cases · Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions · Collaborate with clients to gather requirements and develop customized AI capabilities · Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and performance Mandatory skill sets: · Proficiency in Python for application development · Experience working with Generative AI frameworks and libraries (e.g., Hugging Face, OpenAI API, LangChain) · Strong knowledge of LLMs and fine-tuning techniques · Experience with RAG (Retrieval-Augmented Generation) techniques & Agentic workflow · Hands-on experience with Python web frameworks like Flask, FastAPI, or Django · Familiarity with cloud platforms (Azure, AWS, or GCP) for deployment and scaling · Frontend development skills (HTML, JavaScript, React) · Strong problem-solving and debugging skills · Experience with version control systems such as Git/Bitbucket · Understanding of MLOps frameworks for model lifecycle management Preferred skill sets: · Exposure to DevOps culture with hands on experience in Jenkins for CI/CD would be added advantage. · Knowledge on containerization utilizing Dockers and Kubernetes will be added advantage Years of experience required : 4 – 7 yrs Education qualification: B.tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI, Pyth (Procedural Programming Language) Optional Skills DevOps, Jenkins (Software) Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . As a Data Engineer based out of our BMS Hyderabad you are part of the Data Platform team along with supporting the larger Data Engineering community, that delivers data and analytics capabilities across different IT functional domains. The ideal candidate will have a strong background in data engineering, DataOps, cloud native services, and will be comfortable working with both structured and unstructured data. Key Responsibilities The Data Engineer will be responsible for designing, building, and maintaining the ETL pipelines, data products, evolution of the data products, and utilize the most suitable data architecture required for our organization's data needs. Responsible for delivering high quality, data products and analytic ready data solution Work with an end-to-end ownership mindset, innovate and drive initiatives through completion. Develop and maintain data models to support our reporting and analysis needs Optimize data storage and retrieval to ensure efficient performance and scalability Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements Ensure data quality and integrity through data validation and testing Implement and maintain security protocols to protect sensitive data Stay up-to-date with emerging trends and technologies in data engineering and analytics Closely partner with the Enterprise Data and Analytics Platform team, other functional data teams and Data Community lead to shape and adopt data and technology strategy. Serves as the Subject Matter Expert on Data & Analytics Solutions. Knowledgeable in evolving trends in Data platforms and Product based implementation Has end-to-end ownership mindset in driving initiatives through completion Comfortable working in a fast-paced environment with minimal oversight Mentors other team members effectively to unlock full potential Prior experience working in an Agile/Product based environment Qualifications & Experience 7+ years of hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, preferably in a cloud environment. Breadth of experience in technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed. In-depth knowledge and hands-on experience with ASW Glue services and AWS Data engineering ecosystem. Hands-on experience developing and delivering data, ETL solutions with some of the technologies like AWS data services (Redshift, Athena, lakeformation, etc.), Cloudera Data Platform, Tableau labs is a plus 5+ years of experience in data engineering or software development Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Strong programming skills in languages such as Python, R, PyTorch, PySpark, Pandas, Scala etc. Experience with SQL and database technologies such as MySQL, PostgreSQL, Presto, etc. Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud Platform Strong analytical and problem-solving skills Excellent communication and collaboration skills Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus Experience and expertise in establishing agile and product-oriented teams that work effectively with teams in US and other global BMS site. Initiates challenging opportunities that build strong capabilities for self and team Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

DESCRIPTION Taking care of overall Facility (Engineering and Controls) & Admin activities. . Industrial electrical hands-on experience and troubleshooting, including 480V 3-phase, 110 VAC, and 24VDC systems. . Experience identifying, maintaining, troubleshooting, at field level I/O’s and network components, modifying Motor Controls including motor starters, Variable Frequency Drives, DC drives, and standard electrical components. . Knowledge in Sortation systems and ASRS(Automated Storage and Retrieval Systems) will be added advantage. Daily, Weekly, Monthly technical check per PPM schedule. Attending TT calls for corrective maintenance, service and repair works Co-ordinate with vendor for systems under warranty/AMC. Energy consumption reading DG maintenance. Maintain and troubleshoot all conveyor systems, electrical and mechanical Ability to install, maintain, and troubleshoot power distribution systems, branch circuits, lighting systems, transformers, and wiring methods and material. Ability to install, maintain, and troubleshoot relay logic, ladder diagrams, control components- photo eyes, motor starters, relays, limit switches, proximity sensors, timers, solenoids, Servo drives, frequency inverters, linear drives, tacks, and encoders 6. Dedicated to supporting production by working in a safe, customer focused manner. Minor refurbishment and upgrade works for building finishes, fixtures, fittings and equipment, fixed furniture and OPS equipment like Trolley, Cages, Carts Fire Alarm & Fire extinguishers regular checks. Maintenance, oiling, greasing of carts, trolleys, pump, rolling shutters. Attending regular Electrical works Height work, hot work permit to issue. Minor Civil & Plumbing Corrective maintenance calls. Provide daily reports on TT closures & open cases & RCA. Tools inventory update. PPM schedule maintenance. Taking care of Soft services activities i.e. Pest control, Housekeeping, Scrap & Garbage disposal. Handling agency staff & overall shift. “Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age” BASIC QUALIFICATIONS Degree in Electrical/ Electronics, Controls & instrumentation with minimum 3 years of relevant experience PREFERRED QUALIFICATIONS Degree in Electrical/ Electronics, Controls & instrumentation with minimum 3 years of relevant experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Fulfillment Center Management Facilities, Maintenance, & Real Estate