4114 Retrieval Jobs - Page 32

We are looking for a hands-on AI Engineer / Data Scientist with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) . The ideal candidate will have experience building custom AI models from the ground up, optimizing for performance, and integrating them into real-world systems and applications. Key Responsibilities: Design, build, and deploy NLP and LLM-based models tailored to domain-specific needs (e.g., chatbots, summarization, classification). Fine-tune and adapt foundation models (e.g., GPT, LLaMA, Mistral) for business use cases. Build custom pipelines for text processing, entity recognition, language understanding, and speech-to-text integrations. Work closely with engineering teams to integrate AI models into production systems (APIs, microservices, and edge deployments). Conduct experimentation, model evaluations , and performance tuning for latency, accuracy, and scalability. Collaborate cross-functionally with product, infra, and DevOps teams to ensure smooth deployment and monitoring of model Required Skills & Experience: 3-6 Years of relevant Experience Strong experience with Python , PyTorch , or TensorFlow . Proven track record in training, fine-tuning , and deploying LLMs or transformer-based models (BERT, GPT, T5, etc.). Solid understanding of NLP fundamentals – tokenization, embeddings, attention, text classification, sequence labeling, etc. Experience with model deployment tools : FastAPI, Flask, Docker, REST APIs. Exposure to data pipelines and MLOps tools (MLflow, Weights & Biases, SageMaker, etc.). Knowledge of speech-based interfaces or integration with telephony/speech systems is a strong plus. Ability to translate business problems into AI solutions. Experience with RAG (Retrieval Augmented Generation) pipelines. Familiarity with LangChain, LlamaIndex , or similar agentic/LLM orchestration tools. Understanding of model security, prompt injection risks , and observability . Pls share below details with updated CV to shruti.solasi@movius.ai if the JD suits your profile: EXP CTC ECTC Location Notice Regards, Shruti

Overview Lead a team of supplier domain stewards to successfully deliver data governance for the Requisition to Pay program in line with DG Policies, including data assessment, data classification, capturing metadata, governing standards, DQ measurement and leading remediation Responsibilities Manage a team of 3 direct reports Drive supplier domain metadata mgmt. to enable understanding of data Lead supplier domain data quality mgmt. to ensure data is fit for business use Comply with data security, privacy and retention policies to ensure appropriate access, privacy, protection, retention and retrieval measures are in place for supplier data. Qualifications Overall 12+ yrs of experience. 5+ years of experience working in Data Governance or Data Management within a global CPG (Consumer Packaged Good) company; Strong data management background who understands data, how to ingest data, proper data use / consumption, data quality, and stewardship. 5+ years of experience working with data in the Supplier domain and Requisition to Pay processes, systems and data. Preferred working with SAP implementations, including significant knowledge of master data table schema and exposure to data conversion, workflows, and the design of data quality rules. Preferred experience working with SAP S/4 HANA and SAP MDG Ability to partner with both business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures are defined and implemented. 3+ years of experience managing/leading data professional direct report(s).

Responsibilities · Receive and verify raw materials upon arrival and ensure timely documentation and entry. · Properly store raw materials in designated areas within the warehouse as per storage norms. · Ensure FIFO (First-In-First-Out) method is followed to manage shelf life and prevent expiry or wastage. · Issue raw materials to production as per the indents, ensuring accurate quantity and batch tracking. · Maintain real-time inventory records and report discrepancies to the Store Manager. · Organize and label inventory systematically to ensure efficient retrieval and minimal stock losses. · Coordinate with Quality Assurance for clearance and compliance checks before stocking or issuing raw material. · Participate in monthly/quarterly inventory audits and stock reconciliations. · Maintain cleanliness, safety, and compliance in the warehouse as per SOPs and industry standards. Qualifications · Minimum 2–3 years of experience in warehouse/store operations, preferably in a cosmetic, pharma, or FMCG manufacturing setup. · Strong knowledge of raw material handling and inventory management systems. · Familiarity with shelf-life tracking, FIFO method, and stock rotation principles. · Good organizational and communication skills. · Working knowledge of MS Excel and inventory software (e.g., Tally, ERP systems) is a plus. · Attention to detail, accuracy, and the ability to work in a fast-paced environment. · Graduate in any discipline. A diploma or certification in Warehouse Management/Inventory Control will be an added advantage. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹400,000.00 per year Benefits: Food provided Health insurance Leave encashment Provident Fund Schedule: Day shift Supplemental Pay: Joining bonus Ability to commute/relocate: Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your current CTC in LPA? What is your expected CTC in LPA? What is your notice period in days? Education: Bachelor's (Preferred) Experience: Store management: 1 year (Preferred) Language: Gujarati (Preferred) Hindi (Preferred) Work Location: In person Expected Start Date: 21/06/2025

Job Title: Record Retrieval Specialist Location: Ahmedabad Description: We are seeking a detail-oriented and organized Record Retrieval Specialist to join our team. The Record Retrieval Specialist will be responsible for efficiently and accurately obtaining medical, legal, or other records necessary for various purposes, such as legal proceedings, insurance claims, or medical research. The ideal candidate will have excellent communication skills, strong attention to detail, and the ability to manage multiple tasks simultaneously. Responsibilities: 1. Initiate and manage the record retrieval process by contacting relevant parties, such as medical facilities, legal offices, and government agencies. 2. Request and obtain necessary authorization forms from clients or other authorized individuals. 3. Coordinate with external parties to ensure timely retrieval of records within established deadlines. 4. Review retrieved records for accuracy and completeness, and follow up on any missing or incomplete information. 5. Organize and maintain records in a secure and confidential manner, adhering to all relevant privacy regulations and company policies. 6. Communicate effectively with clients, attorneys, and other stakeholders to provide updates on the status of record retrieval requests. 7. Collaborate with internal teams, such as legal, claims, or research departments, to support their respective projects or initiatives. 8. Identify and implement process improvements to streamline the record retrieval process and enhance efficiency. 9. Stay informed about changes in regulations or industry best practices related to record retrieval and ensure compliance with all applicable standards. 10. Perform other duties as assigned. Our EVP (Employee Value proposition) :  5 Days working  We are a “Great place to work certified” company.  30 Earned Leaves during calendar Year  Career progression and continuous Learning& Development (Technical, Soft skills, Communication, Leadership)  Performance bonus & Loyalty Bonus Benefits  Rewards and Recognition programs  Standard Salary as per market norms  Equal career opportunities, No discrimination  Magnificent & Dynamic Culture  Festival celebrations & fun events Job Types: Full-time, Permanent, Fresher Pay: ₹22,000.00 - ₹23,000.00 per month Benefits: Health insurance Provident Fund Schedule: Night shift US shift Work Location: In person

About the Role We are hiring an experienced MERN Stack Developer who can independently build and scale full-stack applications from scratch. The ideal candidate must have strong skills in TypeScript , React.js , Node.js , Redux , and REST APIs , along with a solid understanding of microservices architecture , mobile API integrations , and responsive design . Experience with LLMs , RAG architecture , Kafka , Redis , webhooks , and database systems like PostgreSQL , MySQL , and MongoDB is essential. You’ll be working on scalable systems, enterprise-grade platforms, and AI-integrated products. Key Responsibilities Develop and maintain full-stack web applications using React.js (with TypeScript) and Node.js (Express/NestJS) Build and document robust RESTful APIs and mobile-ready endpoints Implement and consume webhooks for third-party integrations and internal event-based workflows Ensure responsive design principles across devices and screen sizes Integrate with mobile applications via secure and scalable APIs Work with databases including PostgreSQL, MySQL, and MongoDB Integrate Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines Build and deploy microservices architecture using Kafka, Redis, Docker, etc. Manage application state using Redux or Redux Toolkit Write test cases using Mocha, Chai, Jest, or similar frameworks Participate in system design, architecture discussions, and scalability planning Follow Agile practices, perform code reviews, and contribute to CI/CD pipelines Collaborate with cross-functional teams including UI/UX, DevOps, QA, and Product Management Required Skills & Experience Minimum 4 years of hands-on experience with the MERN stack Strong proficiency in TypeScript , React.js , Node.js , and Redux Proven experience in building and consuming REST APIs and webhooks Deep knowledge of responsive UI/UX development Hands-on experience with mobile-first API design and integrations Strong knowledge of PostgreSQL, MySQL, and MongoDB Experience with Kafka , Redis , Docker , and microservices Exposure to LLM , GPT , RAG , or similar AI models Solid understanding of software architecture and ability to build systems from the ground up Working knowledge of API security , JWT , OAuth , and rate-limiting Familiar with test-driven development and QA practices Familiarity with Git, version control, and collaborative workflows Good to Have Experience with GraphQL and gRPC Experience in building SaaS or AI-integrated platforms Familiarity with ElasticSearch or RabbitMQ Experience with AWS, GCP, or Azure Understanding of serverless and event-driven architectures Benefits Competitive compensation with performance-based hikes Flexible remote or hybrid work options Opportunity to work on cutting-edge technologies including AI and scalable SaaS platforms Strong leadership and learning-driven environment Learning budget for courses, certifications, and conferences Apply Now on Careers@Kayjayglobal.com Job Type: Full-time Pay: From ₹15,000.00 per month Benefits: Provident Fund Schedule: Monday to Friday Work Location: In person Application Deadline: 01/08/2025 Expected Start Date: 25/06/2025

Key responsbilities Monitoring and analysing countries, sectors & companies across emerging markets. Performing qualitative and quantitative research to draw conclusions and set the strategic direction for the portfolio. Analysing data from quantitative research and qualitative research and identifying patterns, trends and insights to inform business decisions. Macro-economic analysis and allocation strategy including relative cross asset valuations and flows, currency valuations (REER), Implied Volatility models including skew and Smile, CDS spreads, global risk appetite and economic momentum models, relative real yields etc. Develop and maintain management contacts in companies under coverage and interact with them on a regular basis. Gathering data from various sources, including primary and secondary research, to support strategic initiatives. Collaborating with cross-functional teams to support the development and execution of business strategies. Preparing comprehensive reports, presentations, and visualisations to communicate findings to stakeholders. Providing actionable recommendations based on research findings to drive business growth and improvement. Tasks Collect and analyse data using statistical software and tools, ensuring accuracy, relevancy and reliability. Manage and organise the collected data to ensure easy access and retrieval. Interpret and present research findings in a clear and concise manner, tailored to the needs of different stakeholders. Monitor and report on key performance indicators (KPIs) and metrics related to research projects. Support the development of business plans, market entry strategies and product development initiatives. Conduct competitive analysis to benchmark the company’s performance against industry peers and competitors. Collaborate with marketing, product and sales teams to align research efforts with business objectives. Correspond and coordinate with external research partners and agencies when necessary. Stay updated on industry developments and emerging trends to ensure the company remains competitive and innovative. Skills Deep understanding of various valuation approaches and methodologies. Relevant certification in market research, data analysis, research methodologies, etc. Knowledge of advanced data analysis techniques and methodologies. Familiarity with market research and competitive analysis. Proficiency in database management, microsoft office, bloomberg etc

Job Title: AI/ML Engineer – Generative AI Specialist Experience: 3–5 Years Location: Chennai/On-site Job Type: Full-Time About the Role: We are looking for a highly motivated AI/ML Engineer with 3–5 years of experience to join our growing team. This role focuses on building and optimizing solutions using Generative AI . You’ll work at the intersection of AI research and real-world application development, helping us deliver next-generation intelligent systems for enterprise use cases. Responsibilities: Design, build ML models with a focus on LLMs and Generative AI. Conduct research that contributes to the state-of-the-art in LLM architectures. Expertise in full and parameter-efficient fine-tuning (LoRA, QLoRA, Adapter, Prefix Tuning),instruction tuning, RLHF, and multi-task learning. Proficient in model compression (AWQ, GPTQ, GPTQ-for-LLaMA) and optimized inferenceengines (vLLM, DeepSpeed, FP6-LLM). Develop and maintain scalable APIs to serve model outputs in production environments. Collaborate with cross-functional teams (product, data and engineering) to identify AIopportunities and deliver solutions. Implement Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases(e.g., FAISS, Pinecone). Database Knowledge: Experience with PostgreSQL. Research and apply the latest techniques in prompt engineering, model compression, andoptimization. Monitor, evaluate, and continuously improve model performance and reliability. Required Skills & Experience: Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field. 3–5 years of hands-on experience in AI/ML development and Expertise in Agentic approach Strong programming skills in Python and experience with ML frameworks such as Proficiency inTensorFlow, PyTorch, Keras Experience in distributed training, NVIDIA AI platforms, and cloud/on-premiseinfrastructure. Familiarity with integrating MCP-based architectures into broader system workflows, ensuringsemantic consistency and interoperability. Experience with performance tuning, caching strategies, and cost optimization, particularly inthe context of production-grade LLM deployments. Experience with LLMs, including fine-tuning, prompt engineering, and using frameworks likeHugging Face Transformers. Familiarity with GenAI techniques and tools such as LangChain, LangGraph, LLMOps, LoRA, andPEFT. Experience deploying models using FastAPI, Flask, Docker, or on cloud platforms(AWS/GCP/Azure). Understanding of NLP concepts, deep learning architectures, and transformer models. Preferred Qualifications: B Tech or MTech in AI -Data Science - Gen AI -Computer Science, Data Science with Real Gen AI Project/Product Development Experience/Fine Tuned LLM Experience is added advantage Knowledge of AI guardrails, compliance frameworks (e.g., Microsoft AI Guidance), and responsible AI practices. Previous work on chatbots, copilots, or AI assistants. Publications, contributions to open-source projects, or participation in AI competitions Interested candidates can share their resume to careers@automios.com Job Type: Full-time Experience: AI/ML: 2 years (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person Expected Start Date: 01/07/2025

Our Team Sanofi Global Hub is an internal Sanofi resource organization based in India and is set up to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, R&D, Data & Digital functions. Sanofi Global Hub strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally. Main Responsibilities Write and/or edit high-quality safety and clinical documents, medical sections of Periodic Benefit-Risk Evaluation Reports, medical sections of Addendum to clinical overviews, Clinical Study Reports (CSR), Disease and product ID Cards, and clinical evaluation reports, product alerts and trial transparency documents with added knowledge and expertise. Delivery of high-quality medical documents on time and in compliance with internal and external standards and guidelines. Works independently on documents with minimal supervision, and act as buddy or mentor to the medical writers, and efficiently peer reviews. Essential Job duties and responsibilities: 1) Participate independently in the planning of analysis and data presentation to be used, initially in conjunction with the mentoring medical writer. 2) Develops and maintains TA expertise. 3) Reviews content created by peers’ writers. 4) Collaborates effectively with Scientific communication global or local teams, Medical regulatory writing global or local teams, Pharmacovigilance teams, Regulatory Teams and Corporate Affairs Teams based on the documents assigned. People: 1) Maintain effective relationships with the end stakeholders (Medical scientific community) within the allocated Global business unit and product – with an end objective to develop medical regulatory content as per requirement. 2) Interact effectively with stakeholders in medical and pharmacovigilance departments. 3) Constantly assist other medical regulatory writers in developing knowledge and sharing expertise. Performance: Provide deliverables (PBRER, ACO, CSR, Product and Disease ID Cards, clinical evaluation report, Briefing packages, Medical section of CTA, managing Product Alerts, posting of trial information such as study protocol and amendments, study results, redacted documents, lay summaries on websites such as CTG (ct.gov), EUCTR, EUDRACT) as per agreed timelines and quality Process: 1) Author, review, act as an expert in the field of medical regulatory writing and maintain the regulatory requirement for countries supported. 2) Assist the assigned medical team in conducting a comprehensive medical regulatory writing needs analysis. 3) Implement relevant elements of the medical regulatory plan and associated activities for the year identified for the region. 4) Work with selected vendors within the region to deliver the required deliverables as per the defined process. 5) Design an overall plan of action basis end-customers feedback & improve course content and delivery. 6) Prepare/review stand-by statement and questions and answer (SBS QA) document as part of managing Product Alerts. 7) Track postings, file, or archive material in relevant systems, and ensure audit and inspection-readiness. 8) Remain abreast of Sanofi Policy or Quality Documents evolution. Stakeholders: 1) Work closely with Clinical/Medical teams in regions/areas to identify medical writing needs and assist in developing assigned deliverables. 2) Proactively liaise with the Clinical/Medical/Pharmacovigilance/Biostats/Regulatory/Legal/Regulatory/Corporate Affairs departments to prepare relevant & customized deliverables. About You Experience: >5 years of experience in regulatory writing for the pharmaceuticals/healthcare industry Performance: Provide deliverables (PBRER, ACO, CSR, Product and Disease ID Cards, clinical evaluation report, Briefing packages, Medical section of CTA, managing Product Alerts, posting of trial information such as study protocol and amendments, study results, redacted documents, lay summaries on websites such as CTG (ct.gov), EUCTR, EUDRACT) as per agreed timelines and quality Technical skills: As applicable (Including but not limited to Medical operational excellence, time, and risk management skills, excellent technical (medical) editing and writing skills, data retrieval, interpretation of scientific data, medical literature screening, knowledge of ICH and GCP/GVP, ability to summarize scientific information and edit text for specific audiences, well-versed with computer applications) Performance: Provide deliverables (PBRER, ACO, CSR, Product and Disease ID Cards, clinical evaluation report, Briefing packages, Medical section of CTA, managing Product Alerts, posting of trial information such as study protocol and amendments, study results, redacted documents, lay summaries on websites such as CTG (ct.gov), EUCTR, EUDRACT) as per agreed timelines and quality Languages: Excellent knowledge of the English language (to read, write, and speak) null

A leading International Architectural Practice, located in Dubai with an office in India, working on prestigious projects are seeking Document Controller/Senior Document Controller candidates who meet the following criteria. Relevant candidate to plan, direct, coordinate and manage all the project documentation in hard and soft format and ensure that the project requirements are met through an efficient distribution, storage and retrieval of project information. JOB ACCOUNTABILITIES LINKED TO OBJECTIVES Responsible for distribution and management of all office procedures and project related documents Incoming mail – copying, distributing and filing Outgoing mail - copying, distributing and filing Issue and track document Letter and fax format and protocol Document referencing and storage protocol PC file storage and backups Filling Stationery requests and ordering (site document controllers) Drawing issue procedure FTP site use Document tracking logs & registers Daily file management Project Specific Requirements Download drawings issued from FTP site Print transmittals for Project Architect to review Determine issue purpose and distribution Arrange for printing of hard copies of drawings Conduct quality control – drawings vs transmittals and check against all registers Where necessary notify issuing party of outstanding/ unresolved matters Compile letter of issue Obtain authorisation from Project Architect Update all related registers, logs, statements and reports after issue Compilation and update of Project Quality Assurance Manual Update Project document control registers Coordinate change management administration QUALIFICATION / EXPERIENCE / REQUIREMENTS Any Graduate Good command of spoken and written English Minimum of 4 years’ experience as a Document controller in a multinational company Ideally have experience of working in a similar environment within the Middle East. TECHNICAL (SOFTWARE) KNOWLEDGE Intermediate level of all Microsoft office programs (Word, Excel, PowerPoint, Outlook) Knowledge of FTP Operation Knowledge of Expedition software Knowledge of Aconex Knowledge of Newforma Knowledge of Primavera Location: Hyderabad/Kochi, India

Job Title: AI Engineer Location: Gurgaon (On-site) Type: Full-Time Experience: 2–6 Years Role Overview We are seeking a hands-on AI Engineer to architect and deploy production-grade AI systems that power our real-time voice intelligence suite. You will lead AI model development, optimize low-latency inference pipelines, and integrate GenAI, ASR, and RAG systems into scalable platforms. This role combines deep technical expertise with team leadership and a strong product mindset. Key Responsibilities Build and deploy ASR models (e.g., Whisper, Wav2Vec2.0) and diarization systems for multi-lingual, real-time environments. Design and optimize GenAI pipelines using OpenAI, Gemini, LLaMA, and RAG frameworks (LangChain, LlamaIndex). Architect and implement vector database systems (FAISS, Pinecone, Weaviate) for knowledge retrieval and indexing. Fine-tune LLMs using SFT, LoRA, RLHF, and craft effective prompt strategies for summarization and recommendation tasks. Lead AI engineering team members and collaborate cross-functionally to ship robust, high-performance systems at scale. Preferred Qualification 2–6 years of experience in AI/ML, with demonstrated deployment of NLP, GenAI, or STT models in production. Proficiency in Python, PyTorch/TensorFlow, and real-time architectures (WebSockets, Kafka). Strong grasp of transformer models, MLOps, and low-latency pipeline optimization. Bachelor’s/Master’s in CS, AI/ML, or related field from a reputed institution (IITs, BITS, IIITs, or equivalent). What We Offer Compensation: Competitive salary + equity + performance bonuses Ownership: Lead impactful AI modules across voice, NLP, and GenAI Growth: Work with top-tier mentors, advanced compute resources, and real-world scaling challenges Culture: High-trust, high-speed, outcome-driven startup environment

Country India Working Schedule Full-Time Work Arrangement Hybrid Relocation Assistance Available No Posted Date 12-Jun-2025 Job ID 8809 Description And Requirements Retrieval of Sold_Case doc from WorkDesk/BIZFLOW Review UW Notes in WorkDesk/Bizflow (Notes Tab) Retrieve Process Checklist from SM Knowledge Center (Online Module) If PPO Dental, order Dental Cards via Quadient (web-based) Update Group Information and Class Structure in Structure Portlet & SoldCase Review all submission documents/tabs for missing information Review all downstream applications for accuracy Send emails via email templates Generate MetLife group insurance policies/certificates Process First Bill audit and reconcile billing system if required Initiate MetLink access Complete New Business case in WorkDesk/Bizflow About MetLife Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!

Country India Working Schedule Full-Time Work Arrangement Hybrid Relocation Assistance Available No Posted Date 28-May-2025 Job ID 9120 Description And Requirements Retrieval of Sold_Case doc from WorkDesk/BIZFLOW. Review of case to determine case size. Confirm that MetLife systems and eligibility are loaded. Generate MetLife group insurance policies/certificates. Process First Bill audit and reconcile billing system if required. Initiate MetLink access. Activate New Business/Add coverage case in billing system. Request for shipping of group insurance policy and certificate. Create Welcome Call Request for the Account Specialist Complete New Business case. About MetLife Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!

Job Requirements Highly focused individual with self-driven attitude Problem-solving and logical thinking to automate and improve internal processes Using various tools such as SQL and Python for managing the various requirements for different data asset projects Ability to diligently involve in activities like Data Cleaning, Retrieval, Manipulation, Analytics, and Reporting Using data science and statistical techniques to build machine learning models and deal with textual data Keep up-to-date knowledge of the industry and related markets Ability to multitask, prioritize, and manage time efficiently Understand needs of the hiring organization or client in order to target solutions to their benefit Advanced speaking and writing skills for effective communication Ability to work in cross-functional teams demonstrating high level of commitment and coordination Attention to details and commitment to accuracy for the desired deliverable Should demonstrate and develop a sense of ownership toward the assigned task Ability to keep sensitive business information confidential Contribute, positively and extensively towards building the organizational reputation, brand, and operational excellence Desired Qualifications for Associate Data Scientist: 3-6 years of relevant experience in data science Advanced knowledge of statistics and the basics of machine learning Experience in dealing with textual data and using natural language processing techniques Ability to conduct analysis to extract actionable insights Technical skills in Python (Numpy, Pandas, NLTK, transformers, Spacy), SQL, and other programming languages for dealing with large datasets Experience in data cleaning, manipulation, feature engineering, and building models Experience in the end-to-end development of a data science project Strong interpersonal skills and extremely resourceful Proven ability to complete assigned tasks according to the outlined scope and timeline Good language, communication, and writing skills in English Expertise in using tools like MS Office, PowerPoint, Excel, and Word Graduate or Post-graduate from a reputed college or university

We are looking for a person who is passionate about data. As a Senior BI Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing our cloud computing infrastructure. What You’ll Do Data Architecture & Modeling: Design and implement data models and architectures using dbt that support efficient data storage, retrieval, availability, analysis, and BI reporting. ETL Development: Develop and maintain ETL (Extract, Transform, Load) processes to ensure data is accurately and efficiently integrated across various systems. Data Warehousing: Build and maintain data warehouses and data lakes to support advanced analytics and reporting needs. Data Analytics & BI Reporting: Develop and maintain BI infrastructure to enable stakeholder analysis and reporting. Performance Optimization: Monitor and optimize the performance of data pipelines and query execution to ensure efficient processing and analysis. Collaboration: Work closely with product managers, data scientists, marketing managers, and other engineers to understand business requirements and translate them into technical solutions. Documentation: Create and maintain detailed documentation of data architectures, processes, and best practices. Key Skills And Qualifications Strong knowledge of dbt, data modeling techniques, and best practices with experience building sophisticated data models. Strong knowledge of SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Understanding of data architecture and best practices, including automation, governance, lineage, and dependency management. Experience with data warehousing solutions (e.g., Redshift, Snowflake, BigQuery). Familiarity with BI tools, Looker preferred. Experience with ETL tools and frameworks (e.g., Apache Airflow). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based data services. Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. This job is located in Hyderabad, India

TCS is hiring for Replenishment Buying role!! Experience- 3 - 8 Years Location: Chennai Qualification:- Minimum 15 years of regular, full-time education (10 + 2 + 3) is mandatory. Shift : 24 X 7 shift pattern Job Description: 1) Daily Report Retrieval (Hot Report, Short Report and others) via QMF (query management framework) SQL editor: 2) Loading SKU External Forecasts and Conducting Plan Analysis in JDA 3) Generating Supplementary Orders for FIRM Orders and OTB 4) Reviewing Bouncers and Addressing Discrepancies 5) Make recommendations for investment buy options. 6) Monitoring performance using Key Performance Indicators (KPIs). 7) Regular discussions and collaboration with stakeholders. Regards (Ritika Jagwani)

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 2 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS, etc. Experience developing accessible technologies. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst 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. 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 .

Responsibilities · Receive and verify raw materials upon arrival and ensure timely documentation and entry. · Properly store raw materials in designated areas within the warehouse as per storage norms. · Ensure FIFO (First-In-First-Out) method is followed to manage shelf life and prevent expiry or wastage. · Issue raw materials to production as per the indents, ensuring accurate quantity and batch tracking. · Maintain real-time inventory records and report discrepancies to the Store Manager. · Organize and label inventory systematically to ensure efficient retrieval and minimal stock losses. · Coordinate with Quality Assurance for clearance and compliance checks before stocking or issuing raw material. · Participate in monthly/quarterly inventory audits and stock reconciliations. · Maintain cleanliness, safety, and compliance in the warehouse as per SOPs and industry standards. Qualifications · Minimum 2–3 years of experience in warehouse/store operations, preferably in a cosmetic, pharma, or FMCG manufacturing setup. · Strong knowledge of raw material handling and inventory management systems. · Familiarity with shelf-life tracking, FIFO method, and stock rotation principles. · Good organizational and communication skills. · Working knowledge of MS Excel and inventory software (e.g., Tally, ERP systems) is a plus. · Attention to detail, accuracy, and the ability to work in a fast-paced environment. · Graduate in any discipline. A diploma or certification in Warehouse Management/Inventory Control will be an added advantage. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹400,000.00 per year Benefits: Food provided Health insurance Leave encashment Provident Fund Schedule: Day shift Supplemental Pay: Joining bonus Ability to commute/relocate: Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your current CTC in LPA? What is your expected CTC in LPA? What is your notice period in days? Education: Bachelor's (Preferred) Experience: Store management: 1 year (Preferred) Language: Gujarati (Preferred) Hindi (Preferred) Work Location: In person Expected Start Date: 21/06/2025

Leading engineering and construction company requires Asst Mgr/ Mgr - Talent Acquisition - Gurugram( Sector-75 A) We are looking out for Asst Mgr/ Mgr - Talent Acquisition for our client office in Gurugram( Sector- 75-A) PFB the JD and details Job Summary Designation: Asst Mgr/ Mgr- Talent Acquisition Experience-5- 9 years of relevant experience in Taalent acquisition in Luxusry goods/ Allied industries/ Luxury cars/ Real estate segment Education:Bachelors degree in Human Resources, Business Administration, or a related field. Reporting To:Head of Department Working Days:Monday to Saturday Locations: Gurgaon Company Overview Roles and Responsibilities: Employee Lifecycle Management: Manage end-to-end onboarding and offboarding processes, including documentation, induction, and exit formalities. Maintain employee records and ensure accurate upkeep of HR data and trackers. Coordination with Support Teams: Collaborate with the IT team for seamless allocation and retrieval of employee assets. Partner with the admin team for seating arrangements, stationery inventory, and other logistical requirements. Coordinate with the design team for office layout updates. Data Management and Upkeep: Ensure regular updates of organizational charts (org charts) and employee performance trackers. Monitor adherence to company formats and maintain consistency across all HR documentation. Employee Engagement: Support the HR team in brainstorming, planning, and organizing employee engagement initiatives and events. Assist in gathering feedback and implementing improvements for employee morale and satisfaction. Performance Monitoring: Keep track of employee performance reports and ensure regular checks to facilitate a smooth appraisal process. Proactively identify performance-related concerns and escalate them to the leadership team when required. Compliance and Policy Management: Assist in communicating and ensuring adherence to company HR policies. Ensure compliance with labor laws and maintain statutory documentation for audits. Recruitment and Talent Acquisition: Handle recruitment for assigned levels in coordination with the Head of Department. Act as a key coordinating point with external consultants, ensuring timely updates and feedback on profiles shared. Keep a tab on consultant performance and the progress of profiles shared, providing regular updates and progress reports. Miscellaneous HR Operations: Prepare reports and trackers on key HR metrics for decision-making. Support the department with audits, special HR projects, and day-to-day operational tasks. We are seeking an immediate joiner who is passionate about delivering operational excellence and contributing to a positive employee experience. If the position interests you and you find a fitment kindly share your cv at career@megmaservices.co.in or contact Rajat- 7011354635 This job is provided by Shine.com

Location(s): Tower -11, (IT/ITES) SEZ of M/s Gurugram Infospace Ltd, Vill. Dundahera, Sector-21, Gurugram, Haryana, Gurugram, Haryana, 122016, IN Line Of Business: Data Estate(DE) Job Category Engineering & Technology Experience Level: Experienced Hire At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Job Summary We are seeking an experienced Senior Data Specialist to join our team. The ideal candidate will have extensive hands-on experience with the latest Oracle database versions and Databricks, particularly in a large enterprise environment. You will be responsible for designing, developing, optimizing, and maintaining complex SQL and PL/SQL solutions to support business analysis and data transformations. Key Responsibilities Design and develop advanced PL/SQL packages, procedures, and triggers for high-volume transactional systems. Write and optimize complex SQL queries for efficient data retrieval and manipulation. Leverage Oracle analytical functions, collections, and advanced features to build high-performance solutions. Perform query performance tuning using optimizer hints and execution plan analysis. Collaborate with cross-functional teams to support application development and data integration. Work within large-scale enterprise database systems, ensuring high availability and data integrity. Provide support for database design, schema management, and data modeling activities. Document technical specifications, procedures, and best practices. Required Skills And Qualifications Minimum 5–6 years of hands-on experience with Oracle Database (latest versions preferred). Proven experience working in large-scale enterprise database environments. Strong expertise in SQL and PL/SQL programming, including the ability to write complex logic and efficient code. In-depth understanding of Oracle analytical functions, collections, and advanced PL/SQL features. Solid knowledge and hands-on experience in query tuning using optimizer hints. Experience with Python and HTML for scripting and integration tasks. Experience with DataBricks. Excellent verbal and written communication skills. Preferred Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.

We are looking for a technically adept and instructionally strong AI Developer with core expertise in Python, Large Language Models (LLMs), prompt engineering, and vector search frameworks such as FAISS, LlamaIndex, or RAG-based architectures. The ideal candidate combines solid foundations in data science, statistics, and machine learning development with a hands-on understanding of ML DevOps, model selection, and deployment pipelines. 3–4 years of experience in applied machine learning or AI development, including at least 1–2 years working with LLMs, prompt engineering, or vector search systems. Core Skills Required Python: Advanced-level expertise in scripting, data manipulation, and model development LLMs (Large Language Models): Practical experience with GPT, LLaMA, Mistral, or open- source transformer models Prompt Engineering: Ability to design, optimize, and instruct on prompt patterns for various use cases Vector Search & RAG: Understanding of feature vectors, nearest neighbor search, and retrieval-augmented generation (RAG) using tools like FAISS, Pinecone, Chroma, or Weaviate LlamaIndex: Experience building AI applications using LlamaIndex, including indexing documents and building query pipelines Rack Knowledge: Familiarity with RACK architecture, model placement, and scaling on distributed hardware ML / ML DevOps: Knowledge of full ML lifecycle including feature engineering, model selection, training, and deployment Data Science & Statistics: Solid grounding in statistical modeling, hypothesis testing, probability, and computing concepts Responsibilities Design and develop AI pipelines using LLMs and traditional ML models Build, fine-tune, and evaluate large language models for various NLP tasks Design prompts and RAG-based systems to optimize output relevance and factual grounding Implement and deploy vector search systems integrated with document knowledge bases Select appropriate models based on data and business requirements Perform data wrangling, feature extraction, and model training Develop training material, internal documentation, and course content (especially around Python and AI development using LlamaIndex) Work with DevOps to deploy AI solutions efficiently using containers, CI/CD, and cloud infrastructure Collaborate with data scientists and stakeholders to build scalable, interpretable solutions Maintain awareness of emerging tools and practices in AI and ML ecosystems Preferred Tools & Stack Languages: Python, SQL ML Frameworks: Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers Vector DBs: FAISS, Pinecone, Chroma, Weaviate RAG Tools: LlamaIndex, LangChain ML Ops: MLflow, DVC, Docker, Kubernetes, GitHub Actions Data Tools: Pandas, NumPy, Jupyter Visualization: Matplotlib, Seaborn, Streamlit Cloud: AWS/GCP/Azure (S3, Lambda, Vertex AI, SageMaker) Ideal Candidate Background in Data Science, Statistics, or Computing Passionate about emerging AI tech, LLMs, and real-world applications Demonstrates both hands-on coding skills and teaching/instructional abilities Capable of building reusable, explainable AI solutions Location gurgaon sector 49 APPLY NOW

Senior Gen AI Engineer Job Description Brightly Software is seeking an experienced candidate to join our Product team in the role of Gen AI engineer to drive best in class client-facing AI features by creating and delivering insights that advise client decisions tomorrow. Role As a Gen AI Engineer , you will play a critical role in building AI offerings for Brightly. Y ou will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster . This will include the following: Lead the evaluation and selection of foundation models and vector databases based on performance and business needs Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients. Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases. Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines. Key Responsibilities Guide the design of multi-step RAG, agentic, or tool-augmented workflows Implement governance, safety layers, and responsible AI practices (e.g., guardrails, moderation, auditability) Mentor junior engineers and review GenAI design and implementation plans Drive experimentation, benchmarking, and continuous improvement of GenAI capabilities Collaborate with leadership to align GenAI initiatives with product and business strategy Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS Opensearch Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building. Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong exerience in predictive and stastical modelling. Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines). Understanding and development of state management workflows using Langraph . Develop GenAI applications using Hugging Face Transformers, LangChain , and Llama related frameworks Engineer and evaluate prompts, including prompt chaining and output quality assessment Apply NLP and transformer model expertise to solve language tasks Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes Monitor and optimize model and pipeline performance for scalability and efficiency Communicate techn

Gen AI Engineer Job Description Brightly Software is seeking a high performer to join our Product team in the role of Gen AI engineer to drive best in class client - facing AI features by creating and delivering insights that advise client decisions tomorrow. Role As a Gen AI Engineer , you will play a critical role in building AI offering s for Brightly. Y ou will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster . This will include the following: Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients. Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases. Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines. Key Responsibilities Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS OpenSearch D evelop GenAI applications using Hugging Face Transformers, LangChain , and Llama related frameworks Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building. Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong ex erience in predictive and stastical modelling . Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines). Understanding and development of state management workflows using Langraph . Engineer and evaluate prompts, including prompt chaining and output quality assessment Apply NLP and transformer model expertise to solve language tasks Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes Monitor and optimize model and pipeline performance for scalability and efficiency Communicate technical concepts clearly to cross-functional and non-technical stakeholders Thrive in a fast-paced, lean environment and contribute to scalable GenAI system design Qualifications Bachelor’s degree is required 2-4 years of experience of total experience with a strong focus on AI and ML and 1+ years in core GenAI Engineer ing Demonstrated expertise in working with large language models (LLMs) and generative AI systems, including both text-based and multimodal models. S trong programming skills in Python, including proficiency with data science libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and/or PyTorch . Familiarity with MLOps principles and tools for automating and streamlining the ML lifecycle. Experience working with agentic AI . Capable of building Retrieval-Augmented Generation (RAG) pipelines leveraging vector stores like Pinecone, Chroma, or FAISS. St rong programming skills in Python, with experience using leading AI/ML libraries such as Hugging Face Transformers and LangChain . Practical experience in working with vector databases and embedding methodologies for efficient information retrieval. P ossess experience in developing and exposing API endpoints for accessing AI model capabilities using frameworks like FastAPI . Knowledgeable in prompt engineering techniques, including prompt chaining and performance evaluation strategies . Solid grasp of natural language processing (NLP) fundamentals and transformer-based model architectures. Experience in deploying machine learning models to cloud platforms (preferably AWS) and containerized environments using Docker or Kubernetes. Skilled in fine-tuning and assessing open-source models using methods such as LoRA , PEFT, and supervised training. Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Able to operate successfully in a lean, fast-paced organization, and to create a vision and organization that can scale quickly Senior Gen AI Engineer

Job Title: Program Coordinator: Experience in either (Health/Livelihood/Agriculture) Job Description Location: Ahmedabad, Maharashtra Reporting to: Program Manager Salary range : 35,000 - 40,000 How to Apply: Send your CV and cover letter to HR@ashrayfoundation.org About the Role: We are seeking a Program Coordinator (Health) to oversee and manage health-related programs, ensuring their successful implementation and achieving key health outcomes. The Program Coordinator will work closely with field staff, stakeholders, and funding agencies to ensure project objectives are met within the defined scope, budget, and timeline. This position requires a hands-on approach to managing the program and ensuring the effectiveness of health initiatives at the community level. Key Responsibilities: Program Coordination & Reporting  Coordinate with funding agencies and prepare monthly, quarterly, and annual reports as per program requirements.  Oversee the preparation of accurate documentation, including meeting minutes, training records, and other necessary program documentation.  Monitor and report project outcomes to senior management and ensure timely and accurate communication of progress. Training & Capacity Building  Conduct orientation and training for field staff to ensure a thorough understanding of the project’s objectives, roles, and responsibilities.  Build the capacity of project staff through various training initiatives relevant to the activities of the program.  Organize and coordinate training for beneficiaries and the community at large, identifying experts and finalizing terms of contact for training delivery. Beneficiary Selection & Stakeholder Engagement  Select beneficiaries from the community, working closely with field staff to ensure the successful implementation of the program.  Collaborate with government bodies and institutions as stakeholders to enhance the program’s reach and impact.  Develop a stakeholder engagement plan/matrix for effective project implementation in the region. Field Management & Performance Monitoring  Monitor the performance of field staff and assess resource allocation to ensure efficient project delivery.  Conduct regular field visits to support the implementation of the program, offering capacity building for field staff.  Redress any grievances related to field staff duties and responsibilities, ensuring smooth program execution.  Identify performance gaps and develop tools and formats for monitoring and evaluating staff performance. Documentation & Reporting  Document and record key activities such as meetings, trainings, and field visits with proper signatures and verification from village Sarpanch or relevant authorities.  Maintain an up-to-date center for project documentation, including proposals, reports, and audio-visual materials.  Ensure easy retrieval of knowledge products, factsheets, and write-ups by maintaining a centralized database. Project Implementation & Quality Assurance  Successfully implement health and social impact programs, ensuring adherence to scope, budget, time, and quality.  Develop and enforce project implementation tools and processes to ensure the smooth running of programs.  Oversee the translation of communications for field training and other essential project communications. Financial Oversight & Payments  Check and authorize payments related to the program, ensuring they align with the budget and project guidelines. Community & Government Relations  Foster positive relationships with government stakeholders and community leaders to facilitate the implementation of health programs.  Build and maintain rapport at the government and community level to strengthen program outcomes. Knowledge Sharing & Case Studies  Develop case studies of program activities, highlighting the impact of health interventions at the field level.  Support the sourcing of new projects, ensuring that they align with program objectives, scope, budget, and quality standards. Qualifications & Experience:  Bachelor's or Master’s Degree in Public Health, Social Work, or a related field.  Minimum 3-5 years of experience in health program coordination or a related field.  Proven experience in managing health-related projects, including reporting and stakeholder engagement.  Strong knowledge of community development and social impact programs.  Excellent communication and interpersonal skills, with the ability to engage stakeholders at various levels.  Strong organizational skills and the ability to manage multiple projects simultaneously. Additional Qualities We Value:  Ability to think critically and solve problems in a fast-paced environment.  A proactive approach to project management and team leadership.  Strong attention to detail and ability to manage complex tasks effectively.  Ability to work collaboratively with diverse teams and stakeholders.  A deep understanding of health-related challenges in the community and strategies for addressing them. Why Join Us?  Impact-Driven Work: Lead health programs that directly improve the well-being of communities and individuals.  Growth Opportunities: Be part of a dynamic and growing team with opportunities for career development and learning.  Collaborative Culture: Work in a team-oriented environment that fosters collaboration and knowledge-sharing. If you are a driven, results-oriented professional with a passion for improving community health, we encourage you to apply! How to Apply: Send your CV and cover letter to HR@ashrayfoundation.org

Job Summary : The Senior Principal Software Engineer is a seasoned professional responsible for designing and delivering scalable, high-quality software solutions. This role demands a hands-on expert who writes maintainable, clean, and well-tested code while advocating for industry best practices in software development. The Senior Principal Software Engineer plays a pivotal role in architecting enterprise-grade applications, guiding technical teams, and ensuring adherence to coding standards and modern development methodologies. As a key leader, the Senior Principal Software Engineer collaborates closely with stakeholders, including business analysts and technical teams, to develop highly configurable applications that align with business goals. This position also emphasizes mentorship, fostering technical excellence, and driving continuous improvement through innovation and the adoption of cutting-edge tools and technologies. This job description in no way states or implies that these are the only duties to be performed by the employee in this position. Employee will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments Key Responsibilities: Work on Complex Manufacturing Domain Work and lead the development of large and complex enterprise-level applications. Develop a deep understanding of Manufacturing concepts and MES products to deliver high-quality, configurable product solutions. Leadership and Team Management Manage and lead software development managers, technical leads, software architects, and other technical staff. Oversee all activities of the software development team and set clear goals to ensure timely and successful project delivery. Provide mentoring, guidance, and direction to software development leads and team members. Promote diversity and collaboration within the team to drive innovation and inclusivity. Agile Practices and Continuous Improvement Proficient in agile practices to support modern and efficient software development. Drive continuous improvement by identifying opportunities to enhance development processes, tools, and team capabilities. Explore and leverage new AI tools to optimize productivity and enhance team efficiency. Architecture and Strategic Planning, Direction, Development & Execution Create and maintain technical architecture to meet technical, market, and business goals. Lead the strategic direction and execution of software architecture to ensure alignment with evolving business needs and support organizational transformation. Perform roadmap planning for long-term product evolution, including supporting archit ecture, design, experimental prototyping, and technology transfer. Ensure business requirements align with IT architecture and infrastructure capabilities. Carry out Proofs of Concept (POCs) to explore innovative solutions, architect customized approaches to meet customer requirements, and evaluate emerging technologies. Provide vision, anticipate potential challenges, and offer strategic solutions to the organization. Collaboration and Stakeholder Management Interact with prospects, customers, business partners, senior management, and other stakeholders throughout the software development lifecycle. Maintain a strong customer focus by ensuring the delivery of high-quality software solutions that meet client needs and expectations. Foster a culture of excellence and innovation by encouraging creative problem-solving, adopting emerging technologies, and setting high performance standards. Training and Mentorship Train and mentor staff in design patterns, best practices, and the software development lifecycle. Share expertise in architecture, design, and implementation of product capabilities to improve team performance and knowledge. Continuous Improvement and Problem-Solving Stay current with technological advancements and company standards. Perform hands-on involvement in application monitoring, diagnostics, and forensics for both product team and customer deployments. Display creativity and latitude in problem-solving and introducing innovative solutions. Demonstrate professionalism and teamwork by promoting collaboration, clear communication, and mutual respect within the team and across departments. Hiring and Onboarding Lead the hiring process, ensuring the acquisition of top talent aligned with team needs and organizational goals. Oversee onboarding processes to integrate new hires effectively and foster a high-performance culture. Financial & Resource Management Own and manage the software development budget, ensuring resources are effectively allocated to achieve key business outcomes on time and within budget. Maintain ownership of time, cost, and quality for all deliverables, ensuring high standards are met across all stages of the project lifecycle. Policy and Standards Compliance Ensure compliance with industry standards, regulatory requirements, and company policies. Define and enforce policies, procedures, and best practices. Metrics and Reporting Define and monitor key quality metrics to track performance, identify trends, and drive improvements. Prepare and present reports and dashboards to leadership and stakeholders as needed. Required Education/Experience: Education Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field is strongly preferred. Equivalent commercial or open-source programming experience may be considered. Experience 12+ years of experience leading and managing large software development teams. Extensive experience in goal-driven resource management, technical recruitment, and project management. Proven ability to balance business and technology expertise with a global mindset. Substantial experience in developing multi-tier systems and delivering enterprise-level applications. Strong proficiency in various SDLC methodologies and practices. Experience in complex discrete manufacturing domains, Manufacturing Execution Systems (MES), or ERP/PLM is highly desirable. Required Skills Expertise in advanced JavaScript libraries, frameworks, and tools such as React, React-Router, Redux, Node, Jest-its okay, RsPack, RxJs , Webpack, Browserify, etc. Experience working collaboratively with UI/UX designers and transforming wireframes into product. You should know CSS and be able to style pages in line with UI direction and styling guidelines. Familiarity with cloud-native infrastructure, including container management systems and microservices architecture. Experience with cloud-native infrastructure and microservices architecture using AWS or Azure. Experience with containerization technologies such as Docker and Kubernetes. Strong architectural mindset, with the ability to translate high-level requirements into detailed design alternatives, weighing pros and cons effectively. Ability to prototype and evaluate solutions, write detailed technical specifications, and provide leadership and reviews for development teams. Preferred Skills Experience around technologies like Redis, Elastic search, Mongo. Experience with implementing GenAI, RAG (Retrieval-Augmented Generation), or Agentic AI-related scenarios. Experience with Backend development technologies such as Java. Personal Attributes Excellent written and verbal communication skills, with the ability to present complex technical topics to diverse stakeholders. Strategic thinker with a proactive approach to problem-solving and a focus on continuous improvement. Passion for fostering diversity, collaboration, and innovation within teams. Demonstrated ability to thrive in fast-paced, dynamic environments while managing multiple priorities.

AI Engineering Lead Company: Straive Location:- Bengaluru, Karnataka (Hybrid) Industry: Data & Analytics, AI/ML Solutions Employment Type: Full-Time Experience: 8+ years About the Role Straive is seeking an AI Engineering Lead with deep technical expertise and a builder's mindset. This role is ideal for someone who thrives at the intersection of LLM innovation, system design, and engineering rigor. You will be responsible for designing and deploying advanced AI applications at scale — from autonomous agents to retrieval-augmented generation (RAG) pipelines — powering intelligence solutions that impact real-world decisions in regulated industries. This isn't just a data science role — it's a hands-on engineering position demanding architectural foresight, curiosity, and a constant pulse on evolving AI capabilities. Key Responsibilities AI Platform Development: Design and build AI-powered platforms, including multi-agent orchestration (CrewAI, AutoGen, LangGraph) and RAG pipelines with dense/sparse/hybrid search strategies. AI Operationalization: Operationalize AI across use cases like data harvesting, compliance validation, summarization, and knowledge retrieval. LLM System Implementation: Lead end-to-end implementation of LLM systems using open-source stacks — LangChain, Haystack, HuggingFace, etc. Web Application Development: Develop web-integrated AI applications, collaborating with front-end and backend teams (React, FastAPI, etc.). Quality & Scalability: Drive quality, scalability, and reliability in all AI product engineering efforts, ensuring robust deployment and monitoring. Technical Ownership: Own embedding lifecycle, prompt strategy, agent memory, and dynamic tool invocation techniques. Required Qualifications Experience Technical Expertise Python LangChain CrewAI AutoGen LangGraph HuggingFace FastAPI React Vector Databases AWS/GCP RAG Systems AI Agents Haystack Puppeteer Playwright Compensation Package Annual CTC: Up to ₹45,00,000 per annum Notice Period: Immediate to 30 days Cross-functional Collaboration: Collaborate across product, infra, data, and legal teams to ensure business-aligned engineering. Innovation Leadership: Stay ahead of the curve — proactively track AI tool evolution, contribute PoCs, and guide architectural decision-making. 8+ years of total experience with 3+ years in LLM/AI product engineering leadership Strong track record of building LLM-based products, including RAG systems, agents, or AI assistants LLM & AI Systems: Deep understanding of dense vs. sparse retrieval, vector DB design, chunking strategies, and LLM cost/performance trade-offs AI Frameworks: Experience with frameworks like CrewAI, AutoGen, LangGraph, BrowserBase, LangChain, etc. Software Engineering: Solid background in Python (must), FastAPI, SQL/NoSQL, data pipelines, and backend logic Web Technologies: Familiarity with web technologies and browser automation/scraping frameworks (e.g., Puppeteer, Playwright) Cloud & DevOps: Working knowledge of cloud environments (AWS/GCP), containerization, CI/CD, and model monitoring. Job Type: Full-time Pay: Up to ₹4,500,000.00 per year Schedule: Day shift Morning shift Work Location: In person