3958 Retrieval Jobs - Page 11

Company Description S2M Health is a leading provider of risk adjustment solutions for health plans and provider groups. Offering comprehensive risk adjustment analytics, medical record retrieval, coding services, and claims processing, S2M Health empowers healthcare organizations to access holistic risk adjustment solutions. With a commitment to collaboration, quality, and transparency, S2M Health remains a trustworthy partner in risk adjustment services. We are looking for a dynamic and self-driven Pre-Sales Executive to bridge the gap between client needs and business offerings—both for our core RCM services and emerging healthcare products . This role is crucial in qualifying leads, supporting the sales team with solution proposals, and driving business growth. Key Responsibilities Lead Qualification & Engagement Respond to inbound inquiries and qualify potential clients based on fit and business needs Conduct discovery calls to understand pain points and propose relevant service/product offerings Maintain CRM hygiene and track lead status, conversations, and next steps Solutioning & Proposal Development Collaborate with delivery and product teams to create tailored service proposals, presentations, and scope documents Prepare RFP/RFI responses and client-facing decks with precision and professionalism Support demo preparation and assist with solution storytelling during sales conversations 🔹 Product Pre-Sales Support Understand product roadmap, features, and client value proposition Assist in giving product walkthroughs or coordinating with the product manager for detailed demos Act as a bridge between client feedback and internal product improvement discussions 🔹 Collaboration & Reporting Work closely with the sales, delivery, and product teams to align go-to-market strategy Provide weekly reports on lead funnel, pipeline health, and sales support metrics Support in organizing webinars, product launches, and marketing initiatives as needed Qualifications & Skills 2–4 years of experience in pre-sales, business development, or solution consulting in healthcare or IT services Knowledge of RCM (Revenue Cycle Management) , Risk Adjustment , or HCC Coding is preferred Strong communication and presentation skills Familiarity with CRM tools like HubSpot or Zoho A problem-solver with attention to detail and the ability to multitask Bachelor's degree in business, healthcare, or life sciences (MBA is a plus) What We Offer A mission-driven team building solutions that matter in U.S. healthcare Exposure to both product and services side of healthcare operations Opportunities for growth across sales, strategy, and solutioning Dynamic team culture with strong leadership support To apply, write to us at: 📩 hr@s2mhealth.com 📍Subject: Application for Pre-Sales Executive – RCM & Product

Description Amazon’s Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. Our systems process billions of products to algorithmically find products not already sold on Amazon and programmatically add them to the Amazon catalog. We apply parallel processing, machine learning and deep learning algorithms to evaluate products and brands in order to identify and prioritize products and brands to be added to Amazon’s catalog. The datasets produced by our team are used by teams across Amazon to improve: product information, search and discoverability, pricing, and delivery experience. Our work involves building state-of-the-art Information Retrieval (IR) systems to mine the web and automatically create structured entities from un-structure/semi-structured data. We constantly stretch the boundaries of large scale distributed systems, Elastic Computing, Big Data, and SOA technologies to tackle challenges at Amazon’s global scale. Come join us in our journey to make everything – and yes, we do mean *everything* – that anyone wants to buy, available on Amazon! We are looking for SDEs with strong technical knowledge, established background in engineering large scale software systems, and passion for solving challenging problems. The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from design to coding, testing, and deployment, to achieve results in a fast paced environment. Key job responsibilities Work with Sr.SDEs and Principal Engineers to drive the technical and architectural vision of SM systems responsible for generation of structured domain entities from structured/semi-structured data. Develop systems and extensible frameworks for complete lifecycle management of domain entities and inter-entity relationships Build scalable platform capabilities for data processing, meta data generation and guardrails . Solve complex problems in automated identity generation, web-to-Amazon namespace translation, and classification of products. Design and develop solutions for efficient storage and vending/search of products and related information. Utilize serverless and big data technologies to develop efficient algorithms that operate of large datasets. Lead and mentor junior engineers, and drive best practices around design, coding, testability, and security. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Bachelor's Degree in Computer Science, advanced degrees preferred. Experience building complex software systems that have been successfully delivered to customer. Deep technical expertise and hands-on architectural understanding of distributed and service-oriented architectures. Has delivered large-scale enterprise software systems or large scale online services. Solid programming skills in OO languages (Java/Scala/C++/Python etc) and a deep understanding of object oriented design. Advanced knowledge of data structures and at ease in optimizing algorithms. Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Master's degree in computer science or equivalent A deep understanding of software development life cycle and a good track record of shipping software on time Experience in data mining, machine learning algorithms, rules engines, and workflow systems. Deep understanding of SOA with proven ability in building highly scalable and fault tolerant systems using Cloud computing technologies. Deep understanding of Map Reduce paradigm with experience in building solutions using Big Data technologies like Spark, Hive etc . Experience in developing efficient algorithms that operate on large datasets. Exposure to AWS technologies is a big plus. 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. Company - ADCI - Karnataka Job ID: A3017885

About the Role: V-Accel is actively building Agentic AI into our SaaS products. We are looking for ML Engineers who can fine-tune LLMs, implement RAG pipelines, and build AI agents for automation, chat, and task execution. Responsibilities: Build, fine-tune, and deploy LLMs for custom business use cases Create RAG (Retrieval Augmented Generation) pipelines with vector DBs Develop AI agents and workflows for intelligent task execution Integrate OpenAI, LangChain, Pinecone, or similar stacks into web apps Work with backend and frontend teams to deliver AI features Requirements: Strong foundation in Python, LangChain, LLMs, HuggingFace, OpenAI Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) Applied experience building chatbots, agents, RAG apps Knowledge of prompt engineering, few-shot learning, embeddings Bonus: Experience in AI-based SaaS or automation tools

Minimum qualifications: PhD degree in Computer Science, a related technical field, or equivalent practical experience. Experience coding in one of the following programming languages including but not limited to: C, C++, Java, or Python. Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization. Preferred qualifications: Experience with performance, reliability, systems data analysis, visualization tools, or debugging. Experience in code and system health, diagnosis and resolution, and software test engineering. Research experience in algorithms, architecture, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, networking, or systems. Experience with performance, reliability, systems data analysis, visualization tools, architecture, compilers, database, data mining, networking or systems. Experience with Unix/Linux, Kernel development, microcontrollers, SoC, device drivers, hardware, power management, ARM processors, performance optimization, file systems, bootloading, firmware, x86 assembly, system BIOS, or hardware/software integration. About The Job Google Cloud's software engineers build the next-generation technologies that transform how billions of users connect, explore, and interact with information and each other. We're looking for engineers who bring fresh ideas across areas like information retrieval, distributed computing, large-scale system design, networking, data storage, security, AI, and natural language processing—the list keeps growing. As a Software Engineer, you’ll work on projects critical to Google Cloud’s evolving needs, with the flexibility to move between teams and initiatives as both you and our business grow. You'll be empowered to think like an owner, proactively identifying customer needs, taking action, and driving innovation. We value engineers who are versatile, display leadership, and eagerly handle challenges across the full stack. Within Google Cloud, the Machine Learning, Systems, and Cloud AI (MSCA) organization creates category-defining AI/ML capabilities built on Google’s frameworks, infrastructure, and services. We design and manage the software, hardware, and ML systems infrastructure that power Google services like Search and YouTube, and Google Cloud products. As a PhD Software Engineer in MSCA, your research expertise will help solve real-world problems at a massive scale. You'll collaborate on innovative projects in areas such as AI, ML, and distributed systems, contributing to products used by billions. With thousands of PhDs across Google, your academic background will be part of a strong community of researchers and engineers shaping the future of technology. We prioritize security, efficiency, and reliability in everything we do, from developing TPUs to operating one of the world’s largest networks, while shaping the future of hyperscale computing. 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 Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide on available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Lead and collaborate on team projects to carry out design, analysis, and development across the stack using your research expertise. Study, diagnose and resolve complex technical modeling and systems issues by analyzing the sources of the issues and the impact on quality. 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 .

CWX is looking for a dynamic SENIOR AI/ML ENGINEER to become a vital part of our vibrant PROFESSIONAL SERVICES TEAM , working on-site in Hyderabad . Join the energy and be part of the momentum! At CloudWerx, we're looking for a Senior AI/ML Engineer to lead the design, development, and deployment of tailored AI/ML solutions for our clients. In this role, you'll work closely with clients to understand their business challenges and build innovative, scalable, and cost-effective solutions using tools like Google Cloud Platform (GCP), Vertex AI, Python, PyTorch, LangChain, and more. You'll play a key role in translating real-world problems into robust machine learning architectures, with a strong focus on Generative AI, multi-agent systems, and modern MLOps practices. From data preparation and ensuring data integrity to building and optimizing models, you'll be hands-on across the entire ML lifecycle — all while ensuring seamless deployment and scaling using cloud-native infrastructure. Clear communication will be essential as you engage with both technical teams and business stakeholders, making complex AI concepts understandable and actionable. Your deep expertise in model selection, optimization, and deployment will help deliver high-performing solutions tailored to client needs. We're also looking for someone who stays ahead of the curve — someone who's constantly learning and experimenting with the latest developments in generative AI, LLMs, and cloud technologies. Your curiosity and drive will help push the boundaries of what's possible and fuel the success of the solutions we deliver. This is a fantastic opportunity to join a fast-growing, engineering-led cloud consulting company that tackles some of the toughest challenges in the industry. At CloudWerx, every team member brings something unique to the table, and we foster a supportive environment that helps people do their best work. Our goal is simple: to be the best at what we do and help our clients accelerate their businesses through world-class cloud solutions. This role is an immediate full time position. Insight on your impact Conceptualize, Prototype, and Implement AI Solutions: Design and deploy advanced AI solutions using large language models (LLMs), diffusion models, and multimodal AI systems by leveraging Google Cloud tools such as Vertex AI, AutoML, and AI Platform (Agent Builder). Implement Retrieval-Augmented Generation (RAG) pipelines for chatbots and assistants, and create domain-specific transformers for NLP, vision, and cross-modal applications. Utilize Document AI, Translation AI, and Vision AI to develop full-stack, multimodal enterprise applications. Technical Expertise: models via LoRA, QLoRA, RLHF, and Dreambooth. Build multi-agent systems using Agent Development Kit (ADK), Agent-to-Agent (A2A) Protocol, and Model Context Protocol (MCP). Provide thought leadership on best practices, architecture patterns, and technical decisions across LLMs, generative AI, and custom ML pipelines, tailored to each client's unique business needs. Stakeholder Communication: Effectively communicate complex AI/ML concepts, architectures, and solutions to business leaders, technical teams, and non-technical stakeholders. Present project roadmaps, performance metrics, and model validation strategies to C-level executives and guide organizations through AI transformation initiatives. Understand client analytics & modeling needs: Collaborate with clients to extract, analyze, and interpret both internal and external data sources. Design and operationalize data pipelines that support exploratory analysis and model development, enabling business-aligned data insights and AI solutions. Database Management: Work with structured (SQL/BigQuery) and unstructured (NoSQL/Firestore, Cloud Storage) data. Apply best practices in data quality, versioning, and integrity across datasets used for training, evaluation, and deployment of AI/ML models. Cloud Expertise: Architect and deploy cloud-native AI/ML solutions using Google Cloud services including Vertex AI, BigQuery ML, Cloud Functions, Cloud Run, and GKE Autopilot. Provide consulting on GCP service selection, infrastructure scaling, and deployment strategies aligned with client requirements. MLOps & DevOps: Lead the implementation of robust MLOps and LLMOps pipelines using TensorFlow Extended (TFX), Kubeflow, and Vertex AI Pipelines. Set up CI/CD workflows using Cloud Build and Artifact Registry, and deploy scalable inference endpoints through Cloud Run and Agent Engine. Establish automated retraining, drift detection, and monitoring strategies for production ML systems. Prompt Engineering and fine tuning: Apply advanced prompt engineering strategies (e.g., few-shot, in-context learning) to optimize LLM outputs. Fine-tune models using state-of-the-art techniques including LoRA, QLoRA, Dreambooth, ControlNet, and RLHF to enhance instruction-following and domain specificity of generative models. LLMs, Chatbots & Text Processing: Develop enterprise-grade chatbots and conversational agents using Retrieval-Augmented Generation (RAG), powered by both open-source and commercial LLMs. Build state-of-the-art generative solutions for tasks such as intelligent document understanding, summarization, and sentiment analysis. Implement LLMOps workflows for lifecycle management of large-scale language applications. Consistently Model and Promote Engineering Best Practices: Promote a culture of technical excellence by adhering to software engineering best practices including version control, reproducibility, structured documentation, Agile retrospectives, and continuous integration. Mentor junior engineers and establish guidelines for scalable, maintainable AI/ML development. Our Diversity and Inclusion Commitment At CloudWerx, we are dedicated to creating a workplace that values and celebrates diversity. We believe that a diverse and inclusive environment fosters innovation, collaboration, and mutual respect. We are committed to providing equal employment opportunities for all individuals, regardless of background, and actively promote diversity across all levels of our organization. We welcome all walks of life, as we are committed to building a team that embraces and mirrors a wide range of perspectives and identities. Join us in our journey toward a more inclusive and equitable workplace. Background Check Requirement All candidates for employment will be subject to pre-employment background screening for this position. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process, please reach out to us directly. Our Story CloudWerx is an engineering-focused cloud consulting firm born in Silicon Valley - in the heart of hyper-scale and innovative technology. In a cloud environment we help businesses looking to architect, migrate, optimize, secure or cut costs. Our team has unique experience working in some of the most complex cloud environments at scale and can help businesses accelerate with confidence.

Title: Machine Learning Engineer Primary Location: Hyderabad/Trivandrum(Onsite) Job Type: Contract Secondary Location: Any Infosys Office Location In this position you will: • Design and implement NLP pipelines for document analysis and artifact generation. • Perform data cleaning and transformation on unstructured text using industry-standard techniques. • Develop embeddings and semantic search pipelines using OpenAI, HuggingFace, or custom models. • Integrate vectorized data with retrieval systems such as MongoDB Vector, FAISS or Pinecone. • Fine-tune and evaluate LLMs for use cases like test case generation, user story summarization, etc. • Monitor model performance and conduct regular evaluations with precision/recall/F1/BLEU. • Collaborate with backend developers to expose ML outputs via APIs. • Participate in architectural design and PoCs for GenAI-based solutions. • Adhere to and implement Responsible AI principles in all ML workflows. • Work closely with product owners and testers to ensure the quality and usability of generated outputs. Required Qualifications: • 5+ years of experience in in data science and AI/ML engineering with strong proficiency in Python and applied NLP • Deep expertise in NLP techniques including: Text classification, Named Entity Recognition (NER), Summarization, Sentiment analysis, Topic modeling • Strong experience in data preprocessing and cleaning :Tokenization, stop-word removal, stemming/lemmatization, normalization. • Strong Experience in vectorization methods: TF-IDF, Word2Vec, GloVe, BERT, Sentence Transformers. Demonstration experience of vectorization and implement solutions to contextual search is must • Hands on Experience in implementing Lang Chain, RAG architecture, and multi-agent orchestration, Agentic AI, scikit learn, python is must • Hands-on with embedding models (e.g., OpenAI, Hugging Face Transformers) and chunking strategies • Experience with vector stores: MongoDB atlas Vector DB, FAISS, Pinecone, Chroma DB. • Skilled in building and fine-tuning LLMs and prompt engineering is must • Experience with MLOps frameworks for model lifecycle, versioning, deployment, and monitoring. • Strong knowledge of LLMOps, NumPy, PySpark for data wrangling. • Experience deploying models on Azure (preferred), AWS, or GCP. • Understanding of Responsible AI practices including model fairness, transparency, and auditability. • Strong knowledge of machine learning frameworks, deep learning architectures, natural language processing and generative models (e.g., GANs, transformers). Preferred Qualifications: • 3 + years of experience building, scaling, and optimizing training and inferencing systems for deep neural networks and/or transformer architectures. • Demonstrated ability in research and development teams with a focus on generative AI technologies and suggesting new ideas or opportunities. • Experience in managing production scale pre training models (private or public cloud) or setting up GPU clusters for In house LLM deployments • Familiarity with AI Governance, ethics, compliance, and regulatory considerations. Education: • Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. • Master’s degree or PhD preferred. Thanks Aatmesh aatmesh.singh@ampstek.com

Hi, Hope you are doing well. Please do let me know if you are interested and looking for a job change at this moment. find the detailed job description, and it will be really appreciated if you can share with me your updated resume and best number to reach. ML Engineer Hyderabad/Trivandrum-Onsite Contract Position Summary: We are seeking a dynamic Senior Machine Learning Engineer focused on advancing our generative AI capabilities. You will contribute to building scalable AI systems that impact real world Enterprise applications, while promoting responsible AI practices and collaborating across teams to accelerate innovation. In this position you will: • Design and implement NLP pipelines for document analysis and artifact generation. • Perform data cleaning and transformation on unstructured text using industry-standard techniques. • Develop embeddings and semantic search pipelines using OpenAI, HuggingFace, or custom models. • Integrate vectorized data with retrieval systems such as MongoDB Vector, FAISS or Pinecone. • Fine-tune and evaluate LLMs for use cases like test case generation, user story summarization, etc. • Monitor model performance and conduct regular evaluations with precision/recall/F1/BLEU. • Collaborate with backend developers to expose ML outputs via APIs. • Participate in architectural design and PoCs for GenAI-based solutions. • Adhere to and implement Responsible AI principles in all ML workflows. • Work closely with product owners and testers to ensure the quality and usability of generated outputs. Required Qualifications: • 5+ years of experience in in data science and AI/ML engineering with strong proficiency in Python and applied NLP • Deep expertise in NLP techniques including: Text classification, Named Entity Recognition (NER), Summarization, Sentiment analysis, Topic modeling • Strong experience in data preprocessing and cleaning :Tokenization, stop-word removal, stemming/lemmatization, normalization. • Strong Experience in vectorization methods: TF-IDF, Word2Vec, GloVe, BERT, Sentence Transformers. Demonstration experience of vectorization and implement solutions to contextual search is must • Hands on Experience in implementing Lang Chain, RAG architecture, and multi-agent orchestration, Agentic AI, scikit learn, python is must • Hands-on with embedding models (e.g., OpenAI, Hugging Face Transformers) and chunking strategies • Experience with vector stores: MongoDB atlas Vector DB, FAISS, Pinecone, Chroma DB. • Skilled in building and fine-tuning LLMs and prompt engineering is must • Experience with MLOps frameworks for model lifecycle, versioning, deployment, and monitoring. • Strong knowledge of LLMOps, NumPy, PySpark for data wrangling. • Experience deploying models on Azure (preferred), AWS, or GCP. • Understanding of Responsible AI practices including model fairness, transparency, and auditability. • Strong knowledge of machine learning frameworks, deep learning architectures, natural language processing and generative models (e.g., GANs, transformers). Preferred Qualifications: • 3 + years of experience building, scaling, and optimizing training and inferencing systems for deep neural networks and/or transformer architectures. • Demonstrated ability in research and development teams with a focus on generative AI technologies and suggesting new ideas or opportunities. • Experience in managing production scale pre training models (private or public cloud) or setting up GPU clusters for In house LLM deployments • Familiarity with AI Governance, ethics, compliance, and regulatory considerations. Education: • Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. • Master’s degree or PhD preferred. Thanks, and Regards Snehil Mishra snehil@ ampstek.com linkedin.com/in/snehil-mishra-1104b2154 Desk-6093602673Extension-125 www.ampstek.com https://www.linkedin.com/company/ampstek/jobs/ Ampstek – Global IT Partner Registered Offices: North America and LATM: USA|Canada|Costa Rica|Mexico Europe:UK|Germany|France|Sweden|Denmark|Austria|Belgium|Netherlands|Romania|Poland|Czeh Republic|Bulgaria|Hungary|Ireland|Norway|Croatia|Slovakia|Portugal|Spain|Italy|Switzerland|Malta| Portugal APAC:Australia|NZ|Singapore|Malaysia|South Korea|Hong Kong|Taiwan|Phillipines|Vietnam|Srilanka|India MEA :South Africa|UAE|Turkey|Egypt

Job Title: NLP Engineer Job Description Job Title: NLP Engineer (Applied AI & Agentic Systems) About Us We’re building the next generation of AI-powered agentic systems — intelligent bots, assistants, and custom AI agents that integrate with APIs, databases, and business logic to drive real value. Our platforms focuses on practical, scalable AI applications rather than pure research — and we’re looking for NLP engineers who can help us push the boundaries. What You’ll Do Build and fine-tune LLM-powered agents and assistants using cutting-edge NLP techniques. Design and implement workflows that combine natural language processing with API calls, database queries, and business logic. Evaluate and apply the right LLMs (OpenAI, Claude, Mistral, etc.) and fine-tune when necessary. Collaborate with cross-functional teams to understand product needs and shape AI-based solutions. Help teams integrate AI into their projects by providing technical guidance and best practices. Develop prompt engineering strategies and reusable agent components. Stay up to date with the latest trends in NLP, LLMs, RAG (Retrieval-Augmented Generation), and agentic frameworks like LangChain, AutoGen, etc. Participate actively in Agile/Scrum processes — sprint planning, standups, retrospectives, and continuous delivery. Be a strong team player — communicative, proactive, and focused on shared success. What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, AI or a related field. 2+ years of hands-on experience working with NLP or LLMs in a production or applied research setting Solid understanding of NLP concepts — embeddings, tokenization, entity recognition, summarization, etc. Experience with modern LLMs and foundational models (OpenAI, Hugging Face, etc.). Familiarity with agentic frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI or similar). Comfortable integrating with REST APIs, SQL/NoSQL databases, and basic backend logic. Experience with prompt engineering and chaining LLM calls into workflows. Strong problem-solving skills and the ability to architect solutions without excessive boilerplate code. Bonus: Experience with vector databases (e.g., Pinecone, Weaviate), RAG pipelines, or fine-tuning models. Nice to Have Knowledge of Python and working with AI SDKs. Qualifications: Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, or a related field. 2/3+ years of experience in natural language processing or a related field. Proficiency in programming languages such as .NET or Python, with experience in NLP libraries. Experience with text preprocessing techniques and tools. Familiarity with cloud platforms and services for deploying/configuring the Gen AI Bot . Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Location: IND Gurgaon - Bld 14 IT SEZ (GST) Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents R1627766

Job Description Role Title - Team Lead and Lead Developer – AI and Data engineering Role Type - Full time Role Reports to Chief Technology Officer Work Location - Plenome Technologies 8 th floor, E Block, IITM Research Park, Taramani Job Overview The Technical Lead will drive our AI strategy and implementation while managing a team of developers. Key responsibilities include architecting LLM solutions, ensuring scalability, implementing multilingual capabilities, and developing healthcare-specific AI models. You will oversee the development of AI agents that can understand and process medical information, interact naturally with healthcare professionals, and handle complex medical workflows. This includes ensuring data privacy, maintaining medical accuracy, and adapting models for different healthcare contexts. Job Specifications Educational Qualifications - Any UG/PG graduates Professional Experience 4+ years of Data Engineering/ML development experience 2+ years of team leadership experience 2+ years of Scrum/Agile management experience Key Job Responsibilities ML applications & training · Understanding of machine learning concepts and experience with ML frameworks like PyTorch, Tensorflow, or others · Experience with production of ML applications on web or mobile platforms NLP & feature engineering · Experience in developing customized AI powered features from scratch to production involving NLP and other models · Designing, deploying and subsequent training of multimodal applications based on clinical requirements LLMs & fine-tuning · Experience with open-source LLMs (preferably Llama models) and fine-tuning through client data and open-source data · Experience with LLM frameworks like LangChain, Llama Index or others, and with any vector databases · Implement RAG architecture to enhance model accuracy with real-time retrieval from clinical databases and medical literature Data pipelines & architecture · Design end-to-end clinical AI applications, from data ingestion to deployment in clinical settings with integrations · Experience with Docker and Kubernetes for application serving at large scale, and developing data pipelines and training workflows API development · Experience with deploying LLM models on cloud platforms (AWS, Azure or others) · Experience with backend and API developments for external integrators Documentation & improvements · Version control with Git, and ticketing bugs and features with tools like Jira or Confluence Behavioral competencies Attention to detail · Ability to maintain accuracy and precision in financial records, reports, and analysis, ensuring compliance with accounting standards and regulations. Integrity and Ethics · Commitment to upholding ethical standards, confidentiality, and honesty in financial practices and interactions with stakeholders. Time management · Effective prioritization of tasks, efficient allocation of resources, and timely completion of assignments to meet sprint deadlines and achieve goals. Adaptability and Flexibility · Capacity to adapt to changing business environments, new technologies, and evolving accounting standards, while remaining flexible in response to unexpected challenges. Communication & collaboration · Experience presenting to stakeholders and executive teams · Ability to bridge technical and non-technical communication · Excellence in written documentation and process guidelines to work with other frontend teams Leadership competencies Team leadership and team building · Lead and mentor a backend and database development team, including junior developers, and ensure good coding standards · Agile methodology to be followed, Scrum meetings to be conducted for sync-ups Strategic Thinking · Ability to develop and implement long-term goals and strategies aligned with the organization’s vision · Ability to adopt new tech and being able to handle tech debt to bring the team up to speed with client requirements Decision-Making · Capable of making informed and effective decisions, considering both short-term and long-term impacts · Insight into resource allocation and sprint building for various projects Team Building · Ability to foster a collaborative and inclusive team environment, promoting trust and cooperation among team members Code reviews · Troubleshooting, weekly code reviews and feature documentation and versioning, and standards improvement Improving team efficiency · Research and integrate AI-powered development tools (GitHub Copilot, Amazon Code Whisperer) Added advantage points Regulatory compliances · Experience with HIPAA, GDPR compliant software and data storage systems · Experience in working with PII data and analytical data in highly regulated domains (finance, healthcare, and others) · Understanding of healthcare data standards and codes (FHIR, SNOMED) for data engineering AI safety measures · Knowledge of privacy protection and anti-data leakage practices in AI deployments Interested candidates can share the updated resumes to below mentioned ID. Contact Person - Janani Santhosh - Senior HR Professional Email ID - careers@plenome.com

Job Purpose - The role is supposed to streamline service roadmap and start bringing in rigor that is at par with the new products that Kohler commercializes. The service roadmap will focus on bringing and refining offerings which shall: Engage Kohler customers and prospects and enmesh deeper in their homes and lives (move from bathrooms to kitchens, bedrooms, and common areas) through relevant categories. Plan for customer retention and create opportunities to cross sell and upsell. Bring methods, processes, calendarize and create KPIs to track various sales enabling and confidence building activities like plumber training, service camps etc. Present service as a differentiator, create stories/highlights and be embedded in regular Kohler content calendar. The incumbent shall be SPOC for the service function for all commercial functions (Sales, Channel Marketing, Product, and Field service teams) Roles & Responsibilities Knowledge Management: Category specific knowledge to be sorted and organized in a repository for easy retrieval and dissemination. This shall include: Regular products Bathroom configurations Training Manuals Build Kohler Care: Logically organize all service offerings under the Umbrella of Kohler Care. Create verticals under Kohler Care Accompanying Elements: Pages on Kohler.co.in. Look, feel and attire of the service agents. Customer Outreach Program: Bring processes, Calendarize, and introduce KPIs to track efficacy of the customer outreach program. This will need to be achieved in sync with the BD, Sales, L&D, and Service teams. The outreach programs include: Plumber trainings Service Camps Specific Demos on need base for B2B Kohler Key Accounts Service Specific Communication: Curate content in collaboration with the Marcom team and ensure dissemination across relevant channels. This will include: Finalizing content strategy for service vertical in line with the entire repositioning plan of the service vertical. Create content calendar for social postings (organic/paid) Integrate relevant content in Kohler Catalogue Finalise service Branding elements across Kohler Dealers/Stores Post Sales CRM (Customer Retention Marketing) Create relevant customer clusters from the existing Kohler customer database. The customer clusters shall include Arch/ID, Retail, and B2B customers. Create a by-segment customer engagement plan. The plan to include: Strategies to cross and upsell. Exploit opportunities in the renovation market with existing Kohler customers and prospects. Finish the pilot and build up the Customer Engagement platform ‘Renew plus plan’ to be deployed across channels – Online D2C, Kohler dealers. Skills And Knowledge Should have 6-8 years of relevant experience. Should have managed: Service Marketing Product marketing (Ideation to commercialization) Customer acquisition through multi-channel activations (Online + Offline). Should have done at least two out of the three roles mentioned above. Background in Quick Commerce (Zepto, Blinkit), Daily Grocery delivery services (Big basket, Milk Basket etc.), Customer Service/Acquisition in digital first brands (Noise, Boat etc.)

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Role Requirement Expertise in IBM ECM platforms and related technologies to provide application support, troubleshooting, performance tuning, and integrations. Core Technical Skills 1️ ⃣ IBM Content Management Administration & Support Installing, configuring, and maintaining IBM FileNet P8, CMOD, Case Manager, and Datacap. Managing repository structures, metadata, and object stores. Performance tuning, log analysis, and system monitoring. Troubleshooting and resolving content indexing, retrieval, and access control issues. Ensuring high availability, backups, and disaster recovery planning. 2️ ⃣ Database Management Strong understanding of SQL and NoSQL databases used by ECM: DB2, Oracle, Microsoft SQL Server (for IBM FileNet, CMOD) MongoDB, Cloud-based DB solutions (for modern ECM integrations) Query optimization and database performance tuning. Managing database schema changes for ECM repositories. 3️ ⃣ Application & Server Management Working with WebSphere Application Server (WAS) or WebLogic for ECM deployments. Managing content storage and retrieval via IBM Content Services API. Configuring LDAP/Active Directory for authentication & access control. Integrating ECM systems with third-party applications (SAP, Salesforce, SharePoint, etc.). 4️ ⃣ Development & Customization Java/J2EE Development – Customizing IBM Content Navigator (ICN) and FileNet applications. IBM Content Navigator Plugins – Extending ECM functionality. REST and SOAP Web Services – API integrations for content retrieval and indexing. Scripting (Python, PowerShell, Shell Scripting) – Automating ECM tasks and monitoring. 5️ ⃣ DevOps & CI/CD CI/CD Pipelines (Jenkins, GitHub Actions, Azure DevOps) for ECM application deployments. Containerization (Docker, Kubernetes) for IBM Cloud Pak ECM solutions. Infrastructure as Code (Terraform, Ansible) for automated deployments. 6️ ⃣ Cloud & Hybrid Deployments IBM Cloud, AWS, or Azure for ECM SaaS/hybrid deployments. Managing IBM Cloud Pak for Business Automation. Experience with IBM Watson AI for Cognitive Content Management. 7️ ⃣ Monitoring & Security Implementing ECM security policies, role-based access control (RBAC). Monitoring ECM logs using Splunk, ELK Stack, or Dynatrace. Ensuring compliance with records retention policies and regulatory standards (GDPR, HIPAA, ISO 27001).

Solve organizational information problems and needs through identification and analysis of requirements, creation of project and process specifications, design and development of the output. Solve complex system and system-related problems, providing timely and accurate documentation and communication Key Responsibilities Gather business information and incorporate information into project plans with project manager or lead. Provide timely update and accurate documents and communication to project team through life-cycle of change. Work on process improvements and complex projects in identifying business and system requirements, creating project and process specifications for new and/or enhanced systems and drive quantifiable results through facilitating interaction with the business unit. Support and solve a variety of complex system and system-related problems for the business unit and liaise with technology peers, as it relates to business requirements, technology, in addition to design, development or implement systems. Perform and/or support system administration tasks including but not limited to: - Change Management - Maintenance and Monitoring of the applications - Install and upgrading of software - Back-ups and archives - Configuration and troubleshooting - Maintain documentations (new user’s guide, policy and procedure documents, disaster recovery plans, administrative procedures, user access) - Help and educate users - Baselining and application capacity monitoring Required Qualifications Demonstrated excellent hands-on personal computer and organizational skills, Familiar with advanced features in MS Word, MS PPT Familiar with formulas and complex spreadsheets. Ability to write embedded formulas are essential. Exposure to VBA macro development within MS Excel Understanding of SQL and data sets Ability to write SQL queries and understand data retrieval, formatting, and integration. Ability to understand Database architecture concepts. Familiarity with Back and Middle Office technology. Solid analytical, quantitative and problem-solving skills, with the ability to interpret data, reach conclusions and take action. Ability to understand technology as it relates to business and may require product or system certifications. Ability to communicate technology related information clearly to different audiences and clearly detail implementation processes. Strong relationship within the department and across business functions. Bachelor’s degree or equivalent work experience. 1+ years’ experience in the financial services industry Strong leadership competencies and execution skills by way of cross-collaboration and workflow facilitation with multiple internal business partners. Must be highly responsive and proactive in a fast-paced changing environment. Preferred Qualifications Exposure to Vermilion Reporting Suite (VRS) is preferred, in absence of which PowerBI, Tableau, SSRS or any other reporting tool experience will be considered. Knowledge of Java, ETL, SQL, RDBMS (Oracle, SQL Server etc) Experience in Asset Management area. Implementation experience with financial services technology, preferably in a consultative role with an eye towards system design and integration. About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (2:00p-10:30p) India Business Unit AWMPO AWMP&S President's Office Job Family Group Business Support & Operations

We're looking for a Senior Data Engineer to design and build scalable data solutions using Azure Data Services, Power BI, and modern data engineering best practices. You'll work across teams to create efficient data pipelines, optimise databases, and enable smart, data-driven decisions. If you enjoy solving complex data challenges, collaborating globally, and making a real impact, we'd love to hear from you. Be a part of our Data Management & Reporting team and help us deliver innovative solutions that make a real impact. At SkyCell, we're on a mission to change the world by revolutionizing the global supply chain. Our cutting-edge temperature-controlled container solutions are designed to ensure the safe and secure delivery of life-saving pharmaceuticals, with sustainability at the core of everything we do. We're a fast-growing, purpose-driven scale-up where you'll make an impact, feel empowered, and thrive in a diverse, innovative environment. Why SkyCell? 🌱 Purpose-Driven Work: Make a real difference by contributing to a more sustainable future in global logistics and healthcare 🚀 Innovation at Heart: Work with cutting-edge technology and be at the forefront of supply chain innovation 🌎 Stronger together: Join a supportive team of talented individuals from over 40 countries, where we work together every step of the way 💡 Growth Opportunities: We believe in investing in our people - continuous learning and development are key pillars of SkyCell 🏆 Award-Winning Culture: Join a workplace recognized for its commitment to excellence with a ‘Great Place to work' award, as well as a Platinum Ecovadis rating highlighting our sustainability and employee well-being What You'll Do: Design, build, and maintain scalable data pipelines and databases using Azure Data Services for both structured and unstructured data Optimise and monitor database performance, ensuring efficient data retrieval and storage Develop, optimise, and maintain complex SQL queries, stored procedures, and data transformation logic Develop efficient workflows, automate data processes, and provide analytical support through data extraction, transformation, and interpretation Create and optimise Power BI dashboards and models, including DAX tuning and data modelling; explore additional reporting tools as needed Integrate data from multiple sources and ensure accuracy through quality checks, validation, and consistency measures Implement data security measures and ensure compliance with data governance policies Investigate and support the business in providing solutions for data issues Collaborate with cross-functional teams, contribute to code reviews, and uphold coding standards Continuously evaluate tools, document data flows and system architecture, and improve engineering practices Provide technical leadership, mentor junior engineers, and support in hiring, onboarding, and training Requirements What You'll Bring: Bachelor's degree in Computer Science or a related field (Master Degree is a plus) Proven expertise in designing and implementing data solutions using Azure Data Factory, Azure Databricks, and Azure SQL Database; certifications are a plus Strong proficiency in SQL development and optimization, good knowledge of NoSQL databases Extensive experience in developing complex dashboards and reports including DAX Knowledge of at least one data analysis language (Python, R, etc.) Knowledge of SAP Analytics Cloud is advantageous Ability to design and implement data models to ensure efficient storage, retrieval, and analysis of structured and unstructured data Benefits What's In It For You? ⚡ Flexibility & Balance: Flexible working hours and work-life balance allow you to tailor work to fit your life 🌟 Recognition & Growth: Opportunities for career advancement in a company that values your contributions 💼 Hybrid Workplace: Modern workspaces (in Zurich, Zug and Hyderabad as well as our Skyhub in Basel) and a remote-friendly culture to inspire collaboration amongst a globally diverse team 🎉 Company-wide Events: Join us for company events to celebrate successes, build teams, and share our vision. Plus, new joiners experience SkyWeek, our immersive onboarding program 👶 Generous Maternity & Paternity Leave: Support for new parents with competitive maternity and paternity leave 🏖️ Annual Leave & Bank Holidays: Enjoy a generous annual leave package, plus local bank holidays to recharge and unwind Ready to Make an Impact? We're not just offering a job; we're offering a chance to be part of something bigger. At SkyCell, you'll help build a future where pharmaceutical delivery is efficient, sustainable, and transformative. Stay Connected with SkyCell Visit http://www.skycell.ch and explore #WeAreSkyCell on LinkedIn How To Apply Simply click ‘apply for this job' below! We can't wait to meet you and discuss how you can contribute to our mission! Please note, we are unable to consider applications sent to us via email. If you have any questions, you can contact our Talent Team (talent@skycell.ch). SkyCell AG is an equal opportunity employer that values diversity and is committed to creating an inclusive environment for all. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, gender identity, age, disability, or any other legally protected characteristic. For this position, if you are not located in, or able to relocate (without sponsorship) to one of the above locations, your application cannot be considered.

The Kardex Group is one of the world’s leading manufacturers of dynamic storage, retrieval and distribution systems. With over 2,500 employees worldwide, we develop and manufacture logistics solutions that are used in many different sectors such as industrial manufacturing, retail and administration. Kardex India Pvt Ltd is seeking a motivated self-starter to join our New Business Team in the role of Territory Sales Person to be based remotely at Kolkata in India. The purpose of the roles is: - Develop the Market for Kardex Products and solutions in the East region of India - Reach and exceed sales targets in the territory and relevant segments - Create, qualify and develop leads and close sales according to Kardex Sales process. - Fully utilize the Kardex CRM tool to track all leads and opportunities - Actively contribute to the growth of Kardex in Eastern part of the Indian market Major task and responsibilities: TARGETS Net Sales Offers (value) Order intake (units/solutions/value) Net Sales Others to be elaborated during induction process Customers Giving proactive support to existing customers Identify and develop new customer for Kardex Solutions Follow the Kardex industry segment focus and develop solutions in these targeted segments Internal Forecast precision (Bookings/Net Sales) Deliver tasks within agreed time Defined reporting delivered on time Follow the Kardex sales process using the Miller Heiman sales methodology Report all sales activities via the Kardex CRM tool RESPONSIBILITIES Reach and exceed agreed sales volume Support and develop territory in lead generations, qualification, and order intake Customer visits Develop solution and value proposition for customer Offer making, contract and price negotiations. Initiate and participate in business development projects Initiate, implement and follow up sales campaigns Reporting Sales Force/ CRM updated weekly Monthly forecasting/weekly forecast update Other sales reporting requested. REQUIREMENTS Education: Tertiary education in related field. Minimum 5-7 years of experience in Intralogistics with high exposure to wholesale, retail, e-commerce, 3PL, electronics and/or Bio-Pharmaceutical industries. Multi-year experience of high level and complex B2B sales, with solution selling. Commercial background with good technical understanding or vice versa. Formally trained in sales and key account management. Experience in development and negotiation of complex contracts. Good understanding of logistical processes, and software supported working processes. Experienced in using Strategic Selling Framework like Miller Heiman, SPIN selling and CRM, e.g. SalesForce Experienced in solution selling at high level. Creative and solution oriented. Patient, persistent and enduring working style. Behaviours required to perform this role: Able to extract diagnostic data in order to ascertain root cause of reported fault. Logical and forward thinking Logical approach to fault analysis/problems. Able to follow laid down procedures and policies. Able to evaluate situations and respond appropriately. Self-motivated, self-disciplined and maintain positive attitude. Able to cope with varying levels of stress and pressure. Able to make decisions/judgements. Able to work beyond working hours if required (on weekends and public holidays).

Digital Health Associates Pvt. Ltd. is looking for an AI/ML & Backend Developer Intern excited about building intelligent and interactive AI systems. You'll work on real-world use cases involving agentic AI, LLMs, and retrieval-augmented generation (RAG) using tools like LangChain, LangGraph, and FastAPI. Responsibilities: Build and experiment with agentic AI workflows using LangChain and LangGraph Integrate open-source LLMs via tools like Ollama, LM Studio, etc. Create backend services and APIs using FastAPI Work with embedding models and vector search for intelligent retrieval tasks Collaborate with team members to prototype and deploy AI-driven features Requirements: Proficiency in Python and backend development with FastAPI Familiarity with LangChain, LangGraph, and agent-based AI concepts Experience using open-source LLMs (e.g., Mistral, LLaMA, Zephyr) locally or through inference tools like Ollama/LM Studio Basic understanding of RAG (Retrieval-Augmented Generation) and vector databases Comfortable with Git, Docker, and basic API integrations Good to Have: Exposure to prompt engineering and LLM fine-tuning Knowledge of tools like Weaviate, Qdrant, ChromaDB Familiarity with DevOps or cloud deployment (AWS/GCP) Job Type: Internship Contract length: 3 months Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Paid time off Location Type: Remote Schedule: Day shift Fixed shift Work Location: Remote Speak with the employer +91 9911100774

Minimum qualifications: Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience. 8 years of experience with software development. Experience with one or more general purpose programming languages (e.g., Java, C/C++, Python or Go). Preferred qualifications: Experience with distributed processing and systems engineering. Experience with open source technologies, such as Apache Spark. About the job Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. 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 software in Data Integration domain working on cloud native distributed systems stack. Drive the launch of quality new features. Manage individual project priorities, deadlines and deliverables and participate in design and code review. 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.

- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Our team is building low latency, highly scalable storage layer to support puch-to-pay data across multiple businesses and regions. We use technologies from AWS and continuously challenge ourselves in building the right solution. Timehub team's charter is to build a world-class product which meets attendance and pay computation needs for over 2 Million hourly associates across Amazon businesses. People Technology is the central hub for all Amazon.com people data. Our technology provides the foundation and orchestration for a multitude of key human resource processes, from on-boarding of tens of thousands of temporary employees during peak holiday season to integrating critical employee data to internal and external systems. We implement and build highly secure, global software that allows Amazon.com to effectively manage the workforce, resulting in a better employee experience and a better bottom line. Timehub is looking for talented Software Development Engineers (SDE) to join their team at Hyderabad, India. Amazon continuously pushes the limit to deliver packages and goods to customers as fast as possible. Gaining efficiencies in tracking productivity, time, and attendance is paramount to achieving this goal. You will get a chance to invent new technologies and build custom solutions to help Amazon track time, attendance, and productivity of employees and impact the employee experience. How hard can it be to pay people for the right number of hours worked considering the compliance policies, business policies which vary across country, state, city, business ? Would you be excited to dive into surprisingly complicated space that is tangible to all Amazonians, with the real-time analytics, surge-traffic handling, fault detection, and data processing by developing new solutions on Server less platforms? Then you are the person, People Technology is looking for. Key job responsibilities As Software Development Engineer, You will contribute to all aspects of an agile software development lifecycle including design, architecture, development, documentation, testing and operations. You will push your design and architecture limits by owning all aspects of solutions end-to-end, through full stack software development. You have strong verbal and written communication skills, are self-driven, and can deliver high quality results in a fast-paced environment. As a part of Timehub team, you will deliver robust feature sets, elegant designs, and intuitive user interfaces that make it easy for Amazonians to excel at performing critical business functions... You are obsessed with delighting customers, and have a demonstrated track record of passion for leveraging technologies to build incredible products. You understand back-end services and know how to conceptualize, design, implement, and maintain them. You go through life thinking about how to use right technology to solve problems. You understand the untapped power of utilizing Internet technologies to support Amazon’s goal to be the most customer-centric company in the world. Most importantly, you have a passion for learning and are driven to be the best at what you do. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Experience in machine learning, data mining, information retrieval, statistics, natural language processing or GenAI. 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.

Key Responsibilities: Document Preparation : Drafting, formatting, and editing documents such as reports, forms, and correspondence. Record Management : Organizing and maintaining both physical and digital files, ensuring easy retrieval and secure storage. Compliance Checks : Verifying that documents meet company-specific requirements. Data Entry : Inputting information into databases or document management systems with a high degree of accuracy. Coordination : Collaborating with departments like Project, Engineering, Client Co-ordination. Required Skills and Qualifications: Written Communication : Ability to draft, edit, and proofread documents clearly and professionally. Organizational Skills : Efficiently manage and retrieve both digital and physical records. Computer Proficiency : Familiarity with MS Office, document management systems, and data entry tools. Time Management : Prioritize tasks and meet deadlines in fast-paced environments. Educational Background: a diploma or degree in business administration, communications, or a related field is often preferred Job Type: Full-time Pay: ₹10,904.10 - ₹41,780.83 per month Benefits: Health insurance Schedule: Day shift Work Location: In person

Key Responsibilities Embryology Procedures Perform and oversee all laboratory procedures including: Oocyte retrieval handling Insemination via conventional IVF and ICSI Embryo grading, culturing, and development monitoring Embryo transfer preparation Vitrification and thawing of embryos and gametes Semen analysis and sperm preparation techniques Quality & Compliance Ensure compliance with national and international ART regulations (ICMR, ESHRE, ASRM). Maintain accurate and detailed documentation of all procedures. Implement and monitor strict quality control (QC) and quality assurance (QA) protocols. Lab Management & Equipment Handling Calibrate and maintain lab equipment and instruments. Monitor cryopreservation systems and ensure proper inventory management of gametes and embryos. Maintain a sterile and contamination-free environment. Team Leadership Guide and mentor junior embryologists and lab technicians. Collaborate with fertility specialists, counselors, and nursing staff to coordinate patient care. Participate in case discussions, scientific meetings, and training sessions. Patient Care & Communication Provide patients with transparent updates (where required) on embryo development and outcomes in coordination with doctors. Support counseling sessions with embryology-related information when necessary. Qualifications & Experience Master’s Degree in Clinical Embryology / Biotechnology / Reproductive Biology or equivalent. Minimum 5–8 years of hands-on experience in embryology and IVF lab procedures. Certification from recognized bodies (e.g., ESHRE, ASRM, ICMR registration) is highly desirable. Key Skills Expertise in IVF, ICSI, embryo biopsy, vitrification. Strong understanding of embryology lab protocols, SOPs, and documentation practices. Attention to detail, manual dexterity, and high ethical standards. Good communication and leadership skills. Job Types: Full-time, Permanent Pay: Up to ₹60,000.00 per month Benefits: Internet reimbursement Schedule: Day shift Work Location: In person

Description Our team is building low latency, highly scalable storage layer to support puch-to-pay data across multiple businesses and regions. We use technologies from AWS and continuously challenge ourselves in building the right solution. Timehub team's charter is to build a world-class product which meets attendance and pay computation needs for over 2 Million hourly associates across Amazon businesses. People Technology is the central hub for all Amazon.com people data. Our technology provides the foundation and orchestration for a multitude of key human resource processes, from on-boarding of tens of thousands of temporary employees during peak holiday season to integrating critical employee data to internal and external systems. We implement and build highly secure, global software that allows Amazon.com to effectively manage the workforce, resulting in a better employee experience and a better bottom line. Timehub is looking for talented Software Development Engineers (SDE) to join their team at Hyderabad, India. Amazon continuously pushes the limit to deliver packages and goods to customers as fast as possible. Gaining efficiencies in tracking productivity, time, and attendance is paramount to achieving this goal. You will get a chance to invent new technologies and build custom solutions to help Amazon track time, attendance, and productivity of employees and impact the employee experience. How hard can it be to pay people for the right number of hours worked considering the compliance policies, business policies which vary across country, state, city, business ? Would you be excited to dive into surprisingly complicated space that is tangible to all Amazonians, with the real-time analytics, surge-traffic handling, fault detection, and data processing by developing new solutions on Server less platforms? Then you are the person, People Technology is looking for. Key job responsibilities As Software Development Engineer, You will contribute to all aspects of an agile software development lifecycle including design, architecture, development, documentation, testing and operations. You will push your design and architecture limits by owning all aspects of solutions end-to-end, through full stack software development. You have strong verbal and written communication skills, are self-driven, and can deliver high quality results in a fast-paced environment. As a part of Timehub team, you will deliver robust feature sets, elegant designs, and intuitive user interfaces that make it easy for Amazonians to excel at performing critical business functions... You are obsessed with delighting customers, and have a demonstrated track record of passion for leveraging technologies to build incredible products. You understand back-end services and know how to conceptualize, design, implement, and maintain them. You go through life thinking about how to use right technology to solve problems. You understand the untapped power of utilizing Internet technologies to support Amazon’s goal to be the most customer-centric company in the world. Most importantly, you have a passion for learning and are driven to be the best at what you do. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Experience in machine learning, data mining, information retrieval, statistics, natural language processing or GenAI. 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. Company - ADCI HYD 13 SEZ Job ID: A3017638

Overview Job Posting Title India Remote/Ahmedabad/Bengaluru/New Delhi Emmes Group: Building a better future for us all. Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients. Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public-private partnerships and commercial biopharma. Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience. We believe the work we do will have a direct impact on patients’ lives and act accordingly. We strive to build a collaborative culture at the intersection of being a performance and people driven company. We’re looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company. If you share our motivations and passion in research, come join us! Primary Purpose This position will support and optimize our data lake infrastructure and play a crucial role in ensuring the reliability, efficiency, and usability of our data lake environment Responsibilities Responsible for the day-to-day management and maintenance of the data lake infrastructure, including data ingestion, storage, organization, and retrieval processes. Monitor and assess the quality of data stored in the data lake, identify inconsistencies, errors, and gaps, and collaborate with relevant stakeholders to address data quality issues. Develop and implement data integration and transformation pipelines to ingest, cleanse, and transform data from various sources into the data lake, ensuring compatibility and consistency. Develop and implement data integration and transformation pipelines to ingest, cleanse, and transform data from various sources into the data lake, ensuring compatibility and consistency. Implement and enforce data governance policies and security measures to safeguard sensitive and confidential data stored in the data lake, in compliance with regulatory requirements and best practices. Identify opportunities to optimize the performance and efficiency of the data lake infrastructure, including storage optimization, query performance tuning, and resource utilization monitoring. Conduct exploratory data analysis and perform ad-hoc queries to extract insights and derive actionable intelligence from the data lake, supporting decision-making processes across the organization. Maintain comprehensive documentation of data lake processes, configurations, and workflows, and generate regular reports on data lake performance, usage metrics, and data quality metrics. Collaborate with cross-functional teams, including data engineers, data scientists, business analysts, project managers, and internal/external IT professionals, to understand data requirements, prioritize initiatives, and deliver data solutions that meet business needs. Qualifications Bachelor's degree or higher in Computer Science, Information Systems, Statistics, Mathematics, or a related field. Skilled in using Azure specific tools for data analysis, including Microsoft Fabric, Azure Synapse Analytics for big data and complex analysis tasks, and Microsoft Power BI for data visualization and business intelligence solutions. Proficiency in SQL and experience with database management systems (DBMS) for querying, manipulating, and analyzing large datasets. Strong analytical and problem-solving skills, with the ability to interpret complex data sets, identify patterns, and draw meaningful insights. Familiarity with data modeling concepts, data warehousing principles, and ETL (Extract, Transform, Load) processes. Experience with other cloud platforms like AWS and GCP is a plus. Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders. Strong attention to detail and a commitment to data accuracy, integrity, and security. CONNECT WITH US! Follow us on Twitter - @EmmesCRO Find us on LinkedIn - Emmes

The Kardex Group is one of the world’s leading manufacturers of dynamic storage, retrieval and distribution systems. With over 2,500 employees worldwide, we develop and manufacture logistics solutions that are used in many different sectors such as industrial manufacturing, retail and administration. Kardex India Pvt Ltd is seeking a motivated self-starter to join our New Business Team in the role of Project Manager to be based at Bangalore in India. The role is to ensure successful implementation and handover of Intralogistics projects in India and coordinate with internal and external stakeholders for on time delivery within the budget. This role is to lead and build the Country Realization Team and will collaborate strongly with sales, solution design and Life cycle services management teams in the region. TARGETS Keep the promised delivery time of the project Responsible for accurate Project completion as per forecast Find potential upselling during the project delivery Achieve high customer satisfaction and improve Customer Satisfaction Index (CRI) according to global and country strategy targets RESPONSIBILITIES Project Management / Coordination Manage the India Net Sales realization process. Manage the organization, internal & external resources, within the realization process. Develop the realization organization and performance as per outlined development plans. Deliver projects on time within budget and achieve high customer satisfaction. Claim Management Commercial / technical Management. Responsible for evidence through documentation. Negotiation. Issue variation orders. Update +/- list; gap analysis. Responsible for customer and 3rd party claims. Contract Administrator Keep process under control (e.g. payment terms). Timing in the project / quality gates. Update documentation (back-office role for the project). REQUIREMENTS B Tech/Eng (Hons) in a technical discipline. MBA will be an added advantage. Formal Project Management experience and prior training essential (PMP certification a plus). Minimum 5 years of experience in a similar position as a project manager/coordinator preferably from SCM background. Electrical/mechanical/electronic or software experience. SAP/ERP/CRM – SFDC or equivalent knowledge is beneficial. Microsoft office knowledge. Project management software knowledge will be an added advantage. Fluent English both written and spoken. Proficiency in Local languages like Hindi, Tamil, Telugu will be added advantage. English working knowledge. Flexible to travel for customers visits, up to 25%. Behaviours required to perform this role: Collaborates in teams effectively. Open and easy communicator. Ability to communicate at all levels (internally and externally). Ability to work under pressure and independently. Excellent customer service skills and service minded approach. Ability to influence change across multiple locations/functions and organizations. Ability to multitask. High level of flexibility. Financial and commercial awareness. Structured, self-organized and self-motivated.

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Lead Consultant, AI ML Lead! In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais , StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus Methodology Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais, StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Lead Consultant Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 25, 2025, 4:50:00 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Job Description Opportunity Summary: You will join the core development team and be given the opportunity to work on all aspects of our technology stack. From building high-performance connectors enabling the ingestion of terabytes of data to developing and enhancing the core functionalities of our content enrichment product, as well as integrating cutting-edge AI, large language models like ChatGPT, and ML into our processing flow to understand content and queries—ensuring the delivery of the right answer at the right time. If you are interested in search and information retrieval or love the challenge of highly scalable, highly performing software, you have a place in our team. What would you do? The primary responsibility of this position is to actively contribute to the proposal, design, and implementation of advanced functionalities in our suite of enterprise search products. This role entails exploring and integrating new technologies, particularly in artificial intelligence, alongside the development of robust core features of the content enrichment engine, to enhance and innovate features throughout our product line. The individual in this role will work closely with a dynamic team to conceptualize and deliver competitive solutions, ensuring the continuous innovation of our enterprise search products in the market. This requires a proactive problem-solving approach and a commitment to delivering high-quality, forward-thinking products that surpass customer expectations. You will work primarily in C#/.NET technology, integrating with AWS, Container, and Cloud-based solutions while also engaging with state-of-the-art AI technologies and concepts. This position requires you to be comfortable with distributed systems as well as high performance, multi-threading development best practices, ensuring your contributions align with the latest advancements in artificial intelligence and core system functionality. What are we looking for? Technical Skills The following skills are needed for this role. Experience 3+ years of C# and .NET experience for web applications Strong OOP and design patterns expertise Code refactoring and unit testing proficiency Experience with distributed, high-performance systems Proven ability to lead successful Proof of Concepts (POCs) Quick adoption of new third-party technologies, cloud-hosted services, and vendor-provided solutions Capability to assess and select the most suitable technologies and services for optimal solutions Primary Skills: The candidate must possess the following primary skills: Technical skills: Advanced C# and .NET skills applied to building scalable web applications Experience designing distributed, high-performance systems with .NET Proven ability to integrate third-party and cloud-hosted services in C#/.NET solutions Experience developing web front-end applications using JavaScript frameworks, HTML and CSS Integrations with 3rd party systems: OAuth, Azure AD, REST API Secondary Skills: It would be advantageous if the candidate also has the following secondary skills: Innovation and AI Exploration: Demonstrated innovative thinking for product enhancements Capability to explore and understand state-of-the-art AI technologies Integration of AI solutions and envisioning new functionalities Ability to demo and sustain proposed features with clear justifications User Experience (UX) and Usability: User-centric approach to UX design Usability enhancement based on feedback and best practices Ability to demo and sustain proposed features with clear justifications Soft Skills A self-starter with great communication and problem-solving skills Exceptional troubleshooting and analytical abilities Thrives collaborating in a team environment with a diverse range of people Passionate about delivering an amazing customer experience Able to have a change of mind, and able to change the minds of others Writes clearly and concisely Capable of working without a company office, with a fully remote team Growth Skills Possesses a good work ethic; a self-starter with a desire to grow Always looking for better ways to get the job done Qualification Bachelor’s degree or technical institute degree/certificate in Computer Science, Information Systems, or other related field or equivalent combination of knowledge and experience. This role requires overlap with multiple time zones for planning meetings, status updates etc. on a regular basis. The duration of these overlaps can change depending on the type of meeting. Upland India has the flexibility to manage your working hours accordingly to help in your work-life balance . You can find out more about this during your interview conversation. Upland Software is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other legally protected status. About BA Insight Upland BA Insight provides a search platform enabling organizations to deploy search solutions both internally and for their extranet / internet needs. Our technology stack, incorporating the latest state-of-the-art AI technologies, offers an end-to-end solution for all search needs: from indexing any content source and enhancing ingested content quality to an enhanced search user experience framework. We leverage advanced AI and NLP capabilities to provide the best answer possible to end-users. Our technology is deployed within many organizations worldwide, ranging from hundreds of users to hundreds of thousands of users, processing hundreds of millions of documents. About Upland Upland Software (Nasdaq: UPLD) helps global businesses accelerate digital transformation with a powerful cloud software library that provides choice, flexibility, and value. Upland India is a fully owned subsidiary of Upland Software and headquartered in Bangalore. We are a remote-first company. Interviews and on-boarding are conducted virtually.

CWX is looking for a dynamic SENIOR AI/ML ENGINEER to become a vital part of our vibrant PROFESSIONAL SERVICES TEAM , working on-site in Hyderabad . Join the energy and be part of the momentum! At CloudWerx, we're looking for a Senior AI/ML Engineer to lead the design, development, and deployment of tailored AI/ML solutions for our clients. In this role, you’ll work closely with clients to understand their business challenges and build innovative, scalable, and cost-effective solutions using tools like Google Cloud Platform (GCP), Vertex AI, Python, PyTorch, LangChain, and more. You’ll play a key role in translating real-world problems into robust machine learning architectures, with a strong focus on Generative AI, multi-agent systems, and modern MLOps practices. From data preparation and ensuring data integrity to building and optimizing models, you’ll be hands-on across the entire ML lifecycle — all while ensuring seamless deployment and scaling using cloud-native infrastructure. Clear communication will be essential as you engage with both technical teams and business stakeholders, making complex AI concepts understandable and actionable. Your deep expertise in model selection, optimization, and deployment will help deliver high-performing solutions tailored to client needs. We’re also looking for someone who stays ahead of the curve — someone who’s constantly learning and experimenting with the latest developments in generative AI, LLMs, and cloud technologies. Your curiosity and drive will help push the boundaries of what's possible and fuel the success of the solutions we deliver. This is a fantastic opportunity to join a fast-growing, engineering-led cloud consulting company that tackles some of the toughest challenges in the industry. At CloudWerx, every team member brings something unique to the table, and we foster a supportive environment that helps people do their best work. Our goal is simple: to be the best at what we do and help our clients accelerate their businesses through world-class cloud solutions. This role is an immediate full time position. Insight on your impact Conceptualize, Prototype, and Implement AI Solutions: Design and deploy advanced AI solutions using large language models (LLMs), diffusion models, and multimodal AI systems by leveraging Google Cloud tools such as Vertex AI, AutoML, and AI Platform (Agent Builder). Implement Retrieval-Augmented Generation (RAG) pipelines for chatbots and assistants, and create domain-specific transformers for NLP, vision, and cross-modal applications. Utilize Document AI, Translation AI, and Vision AI to develop full-stack, multimodal enterprise applications. Technical Expertise: models via LoRA, QLoRA, RLHF, and Dreambooth. Build multi-agent systems using Agent Development Kit (ADK), Agent-to-Agent (A2A) Protocol, and Model Context Protocol (MCP). Provide thought leadership on best practices, architecture patterns, and technical decisions across LLMs, generative AI, and custom ML pipelines, tailored to each client’s unique business needs. Stakeholder Communication: Effectively communicate complex AI/ML concepts, architectures, and solutions to business leaders, technical teams, and non-technical stakeholders. Present project roadmaps, performance metrics, and model validation strategies to C-level executives and guide organizations through AI transformation initiatives. Understand client analytics & modeling needs:Collaborate with clients to extract, analyze, and interpret both internal and external data sources. Design and operationalize data pipelines that support exploratory analysis and model development, enabling business-aligned data insights and AI solutions. Database Management: Work with structured (SQL/BigQuery) and unstructured (NoSQL/Firestore, Cloud Storage) data. Apply best practices in data quality, versioning, and integrity across datasets used for training, evaluation, and deployment of AI/ML models. Cloud Expertise: Architect and deploy cloud-native AI/ML solutions using Google Cloud services including Vertex AI, BigQuery ML, Cloud Functions, Cloud Run, and GKE Autopilot. Provide consulting on GCP service selection, infrastructure scaling, and deployment strategies aligned with client requirements. MLOps & DevOps: Lead the implementation of robust MLOps and LLMOps pipelines using TensorFlow Extended (TFX), Kubeflow, and Vertex AI Pipelines. Set up CI/CD workflows using Cloud Build and Artifact Registry, and deploy scalable inference endpoints through Cloud Run and Agent Engine. Establish automated retraining, drift detection, and monitoring strategies for production ML systems. Prompt Engineering and fine tuning: Apply advanced prompt engineering strategies (e.g., few-shot, in-context learning) to optimize LLM outputs. Fine-tune models using state-of-the-art techniques including LoRA, QLoRA, Dreambooth, ControlNet, and RLHF to enhance instruction-following and domain specificity of generative models. LLMs, Chatbots & Text Processing:Develop enterprise-grade chatbots and conversational agents using Retrieval-Augmented Generation (RAG), powered by both open-source and commercial LLMs. Build state-of-the-art generative solutions for tasks such as intelligent document understanding, summarization, and sentiment analysis. Implement LLMOps workflows for lifecycle management of large-scale language applications. Consistently Model and Promote Engineering Best Practices: Promote a culture of technical excellence by adhering to software engineering best practices including version control, reproducibility, structured documentation, Agile retrospectives, and continuous integration. Mentor junior engineers and establish guidelines for scalable, maintainable AI/ML development. Our Diversity and Inclusion Commitment At CloudWerx, we are dedicated to creating a workplace that values and celebrates diversity. We believe that a diverse and inclusive environment fosters innovation, collaboration, and mutual respect. We are committed to providing equal employment opportunities for all individuals, regardless of background, and actively promote diversity across all levels of our organization. We welcome all walks of life, as we are committed to building a team that embraces and mirrors a wide range of perspectives and identities. Join us in our journey toward a more inclusive and equitable workplace. Background Check Requirement All candidates for employment will be subject to pre-employment background screening for this position. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process, please reach out to us directly. Our Story CloudWerx is an engineering-focused cloud consulting firm born in Silicon Valley - in the heart of hyper-scale and innovative technology. In a cloud environment we help businesses looking to architect, migrate, optimize, secure or cut costs. Our team has unique experience working in some of the most complex cloud environments at scale and can help businesses accelerate with confidence.