3958 Retrieval Jobs - Page 15

Job Summary We’re seeking a hands-on GenAI & Computer Vision Engineer with 3–5 years of experience delivering production-grade AI solutions. You must be fluent in the core libraries, tools, and cloud services listed below, and able to own end-to-end model development—from research and fine-tuning through deployment, monitoring, and iteration. In this role, you’ll tackle domain-specific challenges like LLM hallucinations, vector search scalability, real-time inference constraints, and concept drift in vision models. Key Responsibilities Generative AI & LLM Engineering Fine-tune and evaluate LLMs (Hugging Face Transformers, Ollama, LLaMA) for specialized tasks Deploy high-throughput inference pipelines using vLLM or Triton Inference Server Design agent-based workflows with LangChain or LangGraph, integrating vector databases (Pinecone, Weaviate) for retrieval-augmented generation Build scalable inference APIs with FastAPI or Flask, managing batching, concurrency, and rate-limiting Computer Vision Development Develop and optimize CV models (YOLOv8, Mask R-CNN, ResNet, EfficientNet, ByteTrack) for detection, segmentation, classification, and tracking Implement real-time pipelines using NVIDIA DeepStream or OpenCV (cv2); optimize with TensorRT or ONNX Runtime for edge and cloud deployments Handle data challenges—augmentation, domain adaptation, semi-supervised learning—and mitigate model drift in production MLOps & Deployment Containerize models and services with Docker; orchestrate with Kubernetes (KServe) or AWS SageMaker Pipelines Implement CI/CD for model/version management (MLflow, DVC), automated testing, and performance monitoring (Prometheus + Grafana) Manage scalability and cost by leveraging cloud autoscaling on AWS (EC2/EKS), GCP (Vertex AI), or Azure ML (AKS) Cross-Functional Collaboration Define SLAs for latency, accuracy, and throughput alongside product and DevOps teams Evangelize best practices in prompt engineering, model governance, data privacy, and interpretability Mentor junior engineers on reproducible research, code reviews, and end-to-end AI delivery Required Qualifications You must be proficient in at least one tool from each category below: LLM Frameworks & Tooling: Hugging Face Transformers, Ollama, vLLM, or LLaMA Agent & Retrieval Tools: LangChain or LangGraph; RAG with Pinecone, Weaviate, or Milvus Inference Serving: Triton Inference Server; FastAPI or Flask Computer Vision Frameworks & Libraries: PyTorch or TensorFlow; OpenCV (cv2) or NVIDIA DeepStream Model Optimization: TensorRT; ONNX Runtime; Torch-TensorRT MLOps & Versioning: Docker and Kubernetes (KServe, SageMaker); MLflow or DVC Monitoring & Observability: Prometheus; Grafana Cloud Platforms: AWS (SageMaker, EC2/EKS) or GCP (Vertex AI, AI Platform) or Azure ML (AKS, ML Studio) Programming Languages: Python (required); C++ or Go (preferred) Additionally: Bachelor’s or Master’s in Computer Science, Electrical Engineering, AI/ML, or a related field 3–5 years of professional experience shipping both generative and vision-based AI models in production Strong problem-solving mindset; ability to debug issues like LLM drift, vector index staleness, and model degradation Excellent verbal and written communication skills Typical Domain Challenges You’ll Solve LLM Hallucination & Safety: Implement grounding, filtering, and classifier layers to reduce false or unsafe outputs Vector DB Scaling: Maintain low-latency, high-throughput similarity search as embeddings grow to millions Inference Latency: Balance batch sizing and concurrency to meet real-time SLAs on cloud and edge hardware Concept & Data Drift: Automate drift detection and retraining triggers in vision and language pipelines Multi-Modal Coordination: Seamlessly orchestrate data flow between vision models and LLM agents in complex workflows About Company Hi there! We are Auriga IT. We power businesses across the globe through digital experiences, data and insights. From the apps we design to the platforms we engineer, we're driven by an ambition to create world-class digital solutions and make an impact. Our team has been part of building the solutions for the likes of Zomato, Yes Bank, Tata Motors, Amazon, Snapdeal, Ola, Practo, Vodafone, Meesho, Volkswagen, Droom and many more. We are a group of people who just could not leave our college-life behind and the inception of Auriga was solely based on a desire to keep working together with friends and enjoying the extended college life. Who Has not Dreamt of Working with Friends for a Lifetime Come Join In https://www.aurigait.com/ -https://aurigait.com/https://aurigait.com

Job Title : IVF Doctor / Fertility Specialist Location : Pravi Global IVF ,New Delhi Job Type : Full time Experience : 2-3 years in IVF & Reproductive Medicine Education & Qualifications: MBBS with MD/MS/DNB in [Obstetrics & Gynecology] Fellowship or Certification in Reproductive Medicine / IVF (Preferred) Valid Medical License to practice in Delhi Job Responsibilities: Diagnose and treat infertility conditions in male and female patients Develop and implement individualized fertility treatment plans Perform IVF procedures, including ovarian stimulation, egg retrieval, embryo transfer, and ICSI Conduct ultrasounds, hysteroscopies, and other reproductive diagnostic tests Oversee hormonal treatments and medications for patients Coordinate with embryologists and andrologists for lab procedures Counsel patients on fertility treatments, success rates, and potential risks Stay updated with advancements in reproductive medicine and attend conferences/workshops Willing to travel national and internationally for ivf cases and opd . Skills & Competencies: In-depth knowledge of Assisted Reproductive Technology (ART) Proficiency in IVF-related surgical procedures Strong communication and patient counseling skills Ability to work in a multidisciplinary team Compassionate and ethical approach to patient care How to Apply: Interested candidates can send their updated CV to ritshukla@gmail.com or contact 8826027898 ,9990134194 for further details. Job Type: Full-time Pay: From ₹100,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

A contract opportunity for 6 months and then will be hired on a permanent role based on performance (MNC) Senior Data Engineer will be responsible for designing, implementing, and maintaining data solutions on the Microsoft Azure Data platform and SQL Server (SSIS, SSAS, UC4 Atomic) Collaborate with various stakeholders, and ensuring the efficient processing, storage, and retrieval of large volumes of data Technical Expertise and Responsibilities Design, build, and maintain scalable and reliable data pipelines. Should be able to design and build solutions in Azure data factory and Databricks to extract, transform and load data into different source and target systems. Should be able to design and build solutions in SSIS Should be able to analyze and understand the existing data landscape and provide recommendations/innovative ideas for rearchitecting / optimizing / streamlining to bring efficiency and scalability. Must be able to collaborate and effectively communicate with onshore counterparts to address technical gaps, requirement challenges, and other complex scenarios. Monitor and troubleshoot data systems to ensure high performance and reliability. Should be highly analytical and detail-oriented with extensive familiarity with database management principles. Optimize data processes for speed and efficiency. Ensure the data architecture supports business requirements and data governance policies. Define and execute the data engineering strategy in alignment with the company’s goals. Integrate data from various sources, ensuring data quality and consistency. Stay updated with emerging technologies and industry trends. Understand the big picture business process utilizing deep knowledge in banking industry and translate them to data requirements. Enabling and running data migrations across different databases and different servers Perform thorough testing and validation to support the accuracy of data transformations and data verification used in machine learning models. Analyze data and different systems to define data requirements. Should be well versed with Data Structures & algorithms. Define data mapping working along with business and digital team and data team. Data pipeline maintenance/testing/performance validation Assemble large, complex data sets that meet functional / non-functional business requirements. Analyze and identify gaps on data needs and work with business and IT to bring in alignment on data needs. Troubleshoot and resolve technical issues as they arise. Optimize data flow and collection for cross-functional teams. Work closely with Data counterparts at onshore, product owners, and business stakeholders to understand data needs and strategies. Collaborate with IT and DevOps teams to ensure data infrastructure aligns with overall IT architecture. Implement best practices for data security and privacy. Drive continuous improvement initiatives within the data engineering function Optimize data flow and collection for cross-functional teams. Understand impact of data conversions as they pertain to servicing operations. Manage higher volume and more complex cases with accuracy and efficiency. Role Expectations Design and develop warehouse solutions using Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, Azure Analysis Services Should be proficient in SSIS, SQL and Query optimization. Should have worked in onshore offshore model managing challenging scenarios. Expertise in working with large amounts of data (structured and unstructured), building data pipelines for ETL workloads and generate insights utilizing Data Science, Analytics. Expertise in Azure, AWS cloud services, and DevOps/CI/CD frameworks. Ability to work with ambiguity and vague requirements and transform them into deliverables. Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently. Drive automation efforts across the data analytics team utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) / Continuous Delivery (CD) tools such as Jenkins. Help build define architecture frameworks, best practices & processes. Collaborate on Data warehouse architecture and technical design discussions. Expertise in Azure Data factory and should be familiar with building pipelines for ETL projects. Expertise in SQL knowledge and experience working with relational databases. Expertise in Python and ETL projects Experience in data bricks will be of added advantage. Should have expertise in data life cycle, data ingestion, transformation, data loading, validation, and performance tuning. Skillsets Required MUST TO HAVE SQL, PL/SQL SSIS SSAS TFS Azure Data Factory Prefer to have Azure Databricks Azure Synapse ADLS Lakehouse Architecture Python SCD Concepts and Implementation UC4 Power BI DevOps CI/CD Banking Domain

About Unique Innovations Unique was established in 1979 by the name of Unique Sales Corporation dealing mainly with wholesale Cabinet Handles & Knobs. In 2002, the firm changed its name to Unique Innovations. It started with imports of Architectural Hardware and Furniture Fittings from different parts of the world. The showroom opened in Kotla, Opposite Defence colony in South Delhi, where you can get a feel of all these products. Over 20,000 products are displayed in the Kotla showroom. We have other showrooms in Gurgaon, NCR, in the Grand Mall. Benzoville is a trademark of Unique Innovations. To know more about our company, please visit www.benzoville.com Job Title : Godown Helper Department : Godown/ Warehouse Operations Job Summary We are seeking a reliable and detail – oriented Store keeper to manage the efficient storage and retrieval of goods in our godown. The ideal candidate will be responsible for maintaining accurate inventory records, organizing stocks, and ensuring the smooth operation of the godown on a daily basis. Qualifications : 12th Pass (10+2) Experience : 1-2 years of experience as a store keeper or in a similar role in a godown or warehouse environment. No. of Posts – 2 Salary – 14,000 – 20,000 Job Type: Full-time Pay: ₹14,000.00 - ₹20,000.00 per month Schedule: Morning shift Work Location: In person

ABOUT US: The vision from the start has been to create a state-of-the-art infrastructure of the workplace with the implementation of all the tools for employees and clients makes Bytes Technolab a growth hacker. This has really helped the dev team in adapting to the existing & upcoming technologies & platforms to create top-notch software solutions for businesses, startups, and enterprises. Our core value lies with 100% integrity in communication, workflow, methodology, and flexible collaboration. With the client-first approach, we are offering flexible models of engagement that can help our clients in the best way possible. Bytes Technolab is confident that this approach would help us develop user-centric, applicable, advanced, secure, and scalable software solutions. Our team is fully committed to adding value at every stage of your journey with us, from initial engagement to delivery and beyond. Role Description: 3+ years of professional experience in Machine Learning and Artificial Intelligence. Strong proficiency in Python programming and its libraries for ML and AI (NumPy, Pandas, scikit-learn, etc.). Hands-on experience with ML/AI frameworks like PyTorch, TensorFlow, Keras, Facenet, OpenCV, and other relevant libraries. Proven ability to work with GPU acceleration for deep learning model development and optimization (using CUDA, cuDNN). Strong understanding of neural networks, computer vision, and other AI technologies. Solid experience working with Large Language Models (LLMs) such as GPT, BERT, LLaMA, including fine-tuning, prompt engineering, and embedding-based retrieval (RAG). Working knowledge of Agentic Architectures, including designing and implementing LLM-powered agents with planning, memory, and tool-use capabilities. Familiar with frameworks like LangChain, AutoGPT, BabyAGI, and custom agent orchestration pipelines. Solid problem-solving skills and the ability to translate business requirements into ML/AI/LLM solutions. Experience in deploying ML/AI models on cloud platforms (AWS SageMaker, Azure ML, Google AI Platform). Proficiency in building and managing ETL pipelines, data preprocessing, and feature engineering. Experience with MLOps tools and frameworks such as MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across diverse hardware architectures. Experience with Natural Language Processing (NLP) and foundational knowledge of Reinforcement Learning. Familiarity with data versioning tools like DVC or Delta Lake. Skilled in containerization and orchestration tools such as Docker and Kubernetes for scalable deployments. Proficient in model evaluation, A/B testing, and establishing continuous training pipelines. Experience working in Agile/Scrum environments with cross-functional teams. Strong understanding of ethical AI principles, model fairness, and bias mitigation techniques. Familiarity with CI/CD pipelines for machine learning workflows. Ability to effectively communicate complex ML, AI, and LLM/Agentic concepts to both technical and non-technical stakeholders. We are hiring professionals with 3+ years of experience in IT Services. Kindly share your updated CV at freny.darji@bytestechnolab.com

About The Position We are looking for a dynamic and experienced Data Scientist to join our growing AI & Data Science team. In this role, you will lead projects and collaborate with cross-functional teams to build and deploy cutting-edge machine learning solutions that drive business value. Technical and Professional Requirements Minimum 5+ years of experience in data science, with at least 2 years in a leadership or team management role. Proficiency in Natural Language Processing (NLP) techniques such as LDA, embeddings, Retrieval-Augmented Generation (RAG). Experience in time series forecasting, statistical modeling, and predictive analytics. Hands-on experience with Databricks, Azure ML stack, Python, and Django. Solid understanding of end-to-end data science workflows, from data engineering to model deployment. Ability to collaborate across diverse teams and communicate technical concepts clearly to stakeholders. Job Responsibilities Build and deploy end-to-end ML pipelines, including data preprocessing, model training, and production deployment. Implement supervised, unsupervised, and deep learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Collaborate with data scientists and engineers to integrate ML models into production systems. Use MLOps tools like MLflow or Kubeflow for CI/CD and model lifecycle management. Monitor and optimize deployed models for performance and scalability. Stay updated on ML advancements and contribute to innovation within the team. Educational Requirements: Minimum 60% in any two of the following: Secondary Higher Secondary Graduation.

About Position: We are seeking a highly skilled Senior Python AI Developer with proven experience in Generative AI, LangChain, and data pipeline integration tools like Logstash and Elasticsearch. Role: Python AI Developer Location: Pune Experience: 4-8 Years Job Type: Full Time Employment What You'll Do: Design and implement scalable and secure AI applications using Generative AI models (e.g., GPT, Claude, LLaMA). Develop and optimize pipelines using LangChain for prompt engineering, document retrieval (RAG), and intelligent agent workflows. Build RESTful APIs to expose AI/ML services and integrate them into applications. Architect and manage data flows from structured/unstructured sources using Logstash and Elasticsearch. Index, search, and analyze large datasets using Elasticsearch and integrate them with vector embeddings. Collaborate with product, data, and ML teams to define AI application scope and deliver robust solutions. Ensure performance, scalability, and security in AI and API services. Document system architecture, workflows, and API specifications. Expertise You'll Bring: 4+ years of professional experience in Python development. Strong hands-on experience with LangChain and Generative AI architectures. Proficiency in building and consuming REST APIs. Solid understanding of Elasticsearch (indexing, querying, vector search) and Logstash for data ingestion and transformation. Experience working with LLMs (OpenAI, Cohere, Hugging Face, etc.) and building RAG (Retrieval-Augmented Generation) pipelines. Familiarity with vector stores (e.g., FAISS, Weaviate, Pinecone). Strong knowledge of software engineering principles, version control (Git), and agile methodologies. Excellent problem-solving skills, with a focus on quality and attention to detail. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

As a Document Specialist , you will be responsible for creating, organizing, managing, and maintaining documentation related to tender, EOIs, collaterals, notes, etc. You must ensure that documents are accurate, up-to-date, and compliant with internal standards and external regulations, facilitating effective communication and decision-making. No of Vacancies: 3 Experience 2+ years’ experience Location Trivandrum Responsibilities: Document Creation and Management: • Create, review, edit, and format documents, including collaterals, Notes, Proposals, etc., ensuring accuracy, clarity, and compliance with established guidelines and standards. Document Control and Versioning: • Establish and maintain document control processes, including version control, document tracking, distribution, and archival, to ensure that documents are current, accessible, and properly managed throughout their lifecycle. Collaboration and Communication: • Collaborate with cross-functional teams, including subject matter experts (SMEs), project managers, quality assurance professionals, and regulatory affairs specialists, to gather information, review documents, and facilitate document approvals and revisions. Document Retrieval: • Establish document retrieval systems and procedures to facilitate easy access, retrieval, and distribution of documents, ensuring that authorized personnel can locate and retrieve documents quickly and efficiently as needed. Regulatory Compliance: • Ensure that documentation practices comply with regulatory requirements, industry standards, and best practices, such as ISO standards, and other relevant regulations, by staying informed about regulatory changes and updates. Quality Assurance: • Conduct quality reviews and audits of documents to identify errors, inconsistencies, and non-compliance issues, and recommend corrective actions and improvements to enhance document quality and integrity. Continuous Improvement: • Identify opportunities for process improvements, automation, and efficiency gains in documentation processes, systems, and workflows, and implement solutions to enhance productivity, accuracy, and compliance. Skills & Qualification Required: • Bachelor’s degree in any field • 2-3 years of experience • Proficiency in MS Office and Adobe Acrobat • Excellent writing and organizational skills • Good working knowledge of software programs such as Microsoft Word, Microsoft Excel, or Adobe Acrobat is desirable. • Excellent Communication skills • Proficiency in English language • Attention to detail

📢 We're Hiring: AI/ML Experts in Generative AI, LLMs & RAG At Botminds AI, we’re redefining end-to-end document automation with Generative AI, LLMs, and Retrieval-Augmented Generation (RAG). We’re looking for seasoned AI/ML professionals who are passionate about turning cutting-edge research into real-world impact. 🚀 What You’ll Do Build LLM-powered solutions for document understanding, summarization, and QA Architect RAG pipelines using vector DBs and embedding models Fine-tune open-source LLMs (LLaMA, Mistral, Falcon, etc.) Lead POCs with OpenAI, Claude, Gemini, etc. and benchmark results Collaborate with engineering/product teams to ship ML features Work with OCR outputs, unstructured data, and knowledge bases Stay updated on GenAI, LLM, and retrieval trends 🧠 What You Bring 10+ years of experience in ML, AI, and NLP | 2+ years specializing in LLMs and Generative AI Strong skills in Python, PyTorch/TensorFlow, Hugging Face, LangChain Experience with vector DBs (FAISS, Pinecone, Qdrant, Weaviate) Proven RAG pipeline development and prompt engineering LLM fine-tuning, quantization, scalable deployment expertise Bonus: OCR tools experience (Azure Form Recognizer, Tesseract, Google Vision) Solid understanding of MLOps and scalable ML systems 🌟 Why Join Botminds? Be on the frontlines of GenAI-powered enterprise automation Work in a lean, elite team that ships high-impact features fast Flat hierarchy, high ownership, innovation-first culture Shape the future of intelligent document processing 📩 Interested or know someone who fits? Reach out to Srividhya@botmonds.ai to apply now — let’s build the future of automation together!

Database Engineer Roles and Responsibilities: • Design, implement, and maintain high-performance, scalable, and secure database systems ensuring data integrity and availability. • Monitor and optimize SQL queries, indexes, and database configurations to support efficient data retrieval, especially under high load conditions. • Perform regular database updates, migrations, transformations, and scripting tasks while minimizing downtime and ensuring data consistency. • Analyze database performance through load testing, identify bottlenecks, and recommend actionable improvements to enhance stability and speed. • Manage data security, encryption, backup policies, and disaster recovery strategies to ensure compliance and business continuity. • Collaborate with DevOps, development, and analytics teams to troubleshoot performance, connectivity, and data inconsistency issues, and implement best practices. • Develop and maintain effective database architectures, schemas, and documentation such as data dictionaries and architecture diagrams. • Proactively monitor database growth and recommend appropriate scaling strategies and resource optimization. • Contribute to the design, maintenance, and enhancement of data lakes and data warehouses to support analytics and reporting needs. • Leverage multi-database experience, including technologies such as OpenSearch, Firebase, Firestore, and PostgreSQL, to manage a diverse and dynamic data environment. • Stay updated on emerging database technologies, tools, and industry best practices to continuously improve system performance and reliability. Qualifications & Skills • Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience); MCA or M.Tech is a plus. • 5+ years of proven experience as a Database Administrator (DBA) working across both relational and non-relational database technologies. • Strong command of database security, performance monitoring, and backup and recovery processes. • Experience in database monitoring, troubleshooting, and resolving performance and connectivity issues. • Solid understanding of relational and dimensional data modeling. • Hands-on experience with cloud databases, particularly AWS. • Familiarity with clustering, replication, and high-availability (HA) database solutions. • Relevant certifications (e.g., Oracle Certified DBA, Microsoft SQL Server Certification) are an added advantage. • Exposure to DevOps tools and practices, contributing to automation, CI/CD pipelines, and cross-functional collaboration. If you believe in making an impact on society and are keen to be a part of the education sector, we would be delighted to hear from you.

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up? Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 400 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins. A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions. We in the Insights Team are responsible for SMS Categorization, Fraud detection and other Smart SMS features within the Truecaller app. The OTP & bank notifications, bill & travel reminder alerts are some examples of the Smart SMS features. The team has developed a patented offline text parser that powers all these features and the team is also exploring cutting edge technologies like LLM to enhance the Smart SMS features. The team’s mission is to become the World’s most loved and trusted SMS app which is aligned with Truecaller’s vision to make communication safe and efficient. Smart SMS is used by over 90M users every day. As an ML Engineer , you will be responsible for collecting, organizing, analyzing, and interpreting Truecaller data with a focus on NLP. In this role, you will be working hands-on to optimize the training and deployment of ML models to be quick and cost-efficient. Also, you will be pivotal in advancing our work with large language models and in-device models across diverse regions. Your expertise will enhance our natural language processing, machine learning, and predictive analytics capabilities. What you bring in : 3+ years in machine learning engineering, with hands-on involvement in feature engineering, model development, and deployment. Experience in Natural Language Processing (NLP), with a deep understanding of text processing, model development, and deployment challenges in the domain. Proven ability to develop, deploy, and maintain machine learning models in production environments, ensuring scalability, reliability, and performance. Strong familiarity with ML frameworks like TensorFlow, PyTorch, and ONNX, and experience in tech stack such as Kubernetes, Docker, APIs, Vertex AI, GCP. Experience deploying models across backend and mobile platforms. Fine-tune and optimize LLMs prompts for domain-specific applications Ability to optimize feature engineering, model training, and deployment strategies for performance and efficiency. Strong SQL and statistical skills. Programming knowledge in at least one language, such as Python or R. Preferably python. Knowledge of machine learning algorithms. Excellent teamwork and communication skills, with the ability to work cross-functionally with product, engineering, and data science teams. Good to have the knowledge in retrieval-based pipelines to enhance LLM performance The impact you will create: Collaborate with Product and Engineering to scope, design, and implement systems that solve complex business problems ensuring they are delivered on time and within scope. Design, develop, and deploy state-of-the-art NLP models, contributing directly to message classification and fraud detection at scale for millions of users. Leverage cutting-edge NLP techniques to enhance message understanding, spam filtering, and fraud detection, ensuring a safer and more efficient messaging experience. Build and optimize ML models that can efficiently handle large-scale data processing while maintaining accuracy and performance. Work closely with data scientists and data engineers to enable rapid experimentation, development, and productionization of models in a cost-effective manner. Streamline the ML lifecycle, from training to deployment, by implementing automated workflows, CI/CD pipelines, and monitoring tools for model health and performance. Stay ahead of advancements in ML and NLP, proactively identifying opportunities to enhance model performance, reduce latency, and improve user experience. Your work will directly impact millions of users, improving message classification, fraud detection, and the overall security of messaging platforms. It would be great if you also have: Understanding of Conversational AI Deploying NLP models in production Working knowledge of GCP components Cloud-based LLM inference with Ray, Kubernetes, and serverless architectures. Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like your dream job? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. This position is based in Bangalore , India. We only accept applications in English. What we offer: A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment. A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance. Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges. Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages. In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc. There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you.

Join Our Team as an AI Engineer! Are you a tech enthusiast with a passion for innovation? Do you excel at designing and developing state-of-the-art AI digital solutions within the Microsoft ecosystem including Dynamics 365 ERP, Azure, and Copilot AI ? If so, we want you to join us in our mission to elevate our digital solutions to the next level. About Us At STAEDEAN , we are motivated by a simple yet impactful mission: to empower our customers by solving complex business challenges with seamless digital solutions. Trusted by over 2,000 customers worldwide, we are an enthusiastic and tech-savvy team dedicated to driving innovation at every step. We do not just offer jobs, we offer opportunities to gain experience, make a meaningful impact, and be part of something extraordinary. Join us and help shape the future of digital solutions while taking your architecture skills to new heights. Why Work for Us? Join a team where innovation thrives and every voice counts. At STAEDEAN , we foster a dynamic environment that prioritizes well-being, collaboration, and career growth. With a hybrid workplace, mental health support, and diverse international teams, you will find the perfect balance of creativity and support. Your Role As an AI/ML Engineer, you will be a core contributor to the implementation of intelligent, production-ready solutions that integrate seamlessly with Microsoft platforms. Working closely with our AI Architect, Data Scientist, and Product Owners, you will bring AI concepts to life—building robust pipelines, interfaces, and integrations for ERP and business applications powered by large language models (LLMs), Azure AI, and Copilot. Your responsibilities will include: Implement intelligent AI-driven solutions, including LLM-powered agents, chat interfaces, and decision-support tools. Integrate AI capabilities with Microsoft platforms including Azure AI, Azure ML, Power Platform, and Dataverse. Enhance Microsoft Dynamics 365 ERP (Finance & Supply Chain) with embedded AI features and Copilot experiences. Build scalable, modular data pipelines on Azure using e.g. Data Factory, Synapse Analytics, and other Microsoft integration tools. Design and maintain reusable AI components (e.g., prompt templates, embeddings, RAG pipelines) Automate data collection, preprocessing, evaluation, and retraining workflows. Assist with monitoring, evaluation, and optimization of AI models in production environments Write clean, maintainable code and contribute to shared AI engineering infrastructure. Collaborate cross-functionally to deliver AI functionality as part of larger product solutions What You Need To Succeed Proven experience in AI/ML applications, ideally in enterprise or ERP settings Hands-on experience with Azure AI services, Copilot, and ERP systems, preferably Microsoft Dynamics 365 or similar platforms Familiarity with Power Platform, Power BI, and Dataverse Strong Python skills for backend logic, data processing, and model orchestration Experience building modular pipelines, APIs, and workflows in cloud environments Understanding of prompt engineering, RAG (Retrieval-Augmented Generation) and fine-tuning, and LLM evaluation best practices Ability to work independently and take ownership of projects while meeting deadlines Strong collaboration and communication skills—you can align with architects, developers, and business stakeholders Bonus: Experience with MLOps, DevOps, CI/CD, and monitoring tools Why You Should Apply Be Part of a Dynamic Community: Our supportive and vibrant environment ensures your contributions truly matter. You'll work with passionate professionals who are dedicated to making a difference. Drive Innovation and Excellence: As a STAEDEAN, you’ll be at the forefront of innovation, developing solutions that transform industries and drive sustainable impact. Grow and Thrive: We are committed to fostering a culture of continuous improvement and shared success. Whether you're an experienced professional or just starting your career, you'll find ample opportunities to develop your skills, take on new challenges, and grow. Make a Meaningful Impact: Your work at STAEDEAN will have a real impact on our customers, partners, and the world. Together, we strive to achieve extraordinary things, pushing the boundaries to create a better future. If you are ready to take on exciting challenges in a fast-paced, innovative environment, STAEDEAN is the place for you. Together, we will shape the future of technology and revolutionize business transformation. Join us, make an impact, and become part of a forward-thinking team.

About Position: We are conducting an in-person hiring drive for the position of GenAI Developer / Sr. GenAI Developer in Hyderabad. We are looking for an experienced and talented GenAI Developer/Sr. Gen AI Developer to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Agentic AI Microservices (Fast API), Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics. Role: GenAI /Sr.GenAI/ RAG / LLM Engineer Interview Location: Gate 11, Argus Block-Sattva Knowledge City, 6th Floor Beside T-hub, Silpa Gram Craft Village, Madhapur Rai Durg, Hyderabad, 500081 Experience: 4 Years-8 Years Job Type: Full Time Employment Note: After joining candidate can work from AII PSL Locations What You'll Do: Develop and fine-tune LLMs for real-world use cases Build and optimize RAG pipelines using Langchain or similar tools Integrate GenAI capabilities into enterprise applications Hands on Python coding exp Work with vector databases and embedding techniques Collaborate with cross-functional teams on AI-driven features Expertise You'll Bring: 4+ years of experience working with data science. Strong proficiency in prompt Engineering and Lang chain and Fast API Experience in Microservices (Fast API), RAG and OpenAI Experience with ML/Ops technologies Understanding of machine learning fundamentals, optimization techniques, generative AI, NLP, LLMs, and Retrieval-Augmented Generation (RAG). Strong analytical, problem-solving, and troubleshooting skills. Ability to work independently and in a collaborative team environment. Python, PyTorch/TensorFlow LLMs (OpenAI, LLaMA, HuggingFace) RAGframeworks (Langchain, LlamaIndex) FAISS, Weaviate, Pinecone Cloud (AWS/GCP/Azure Databricks) Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Tech Lead Experience: 7-9 Years Exp Salary: 20 to 24 LPA Preferred Notice Period : Within 30 Days Opportunity Type: Office (Indore) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Python, React.js, Docker, Kubernetes vEngageai (One of Uplers' Clients) is looking for: Job Description: About the Role: We are seeking a Senior Software Engineer – Tech Lead to join our dynamic team. This role is critical in driving the architecture, development, and delivery of robust backend systems across our product line. As a Tech Lead, you will be hands-on with implementation while also guiding your team, conducting code reviews, and ensuring best practices are followed. You will be deeply involved in all ongoing projects within the product line, helping to "connect the dots" across systems, teams, and technologies to deliver scalable and high-performing enterprise solutions. Key Responsibilities Backend Development: Design, implement, and maintain backend services and APIs with a focus on scalability, security, and performance. Architectural Ownership: Serve as the lead architect for backend systems, defining and refining system designs and ensuring long-term scalability and maintainability. Project Involvement: Be actively involved in all projects running within the product line—understanding requirements, tracking progress, and offering strategic direction. Team Guidance: Guide and mentor developers through code reviews, technical guidance, and knowledge-sharing sessions. Help the team understand how projects are architected and operate in production. Code Reviews & Implementation Oversight: Conduct detailed code reviews to ensure adherence to best practices and lead implementation efforts on critical components. Database Engineering: Architect and optimize relational and NoSQL databases, ensuring efficient data storage and retrieval processes. System Engineering: Monitor and optimize system-level performance and architecture to maintain high availability and reliability. Distributed Systems: Build and maintain distributed architectures to support high availability, concurrency, and fault tolerance. Containerization: Develop and deploy applications using Docker, Kubernetes, or equivalent container orchestration tools. Collaboration: Work closely with cross-functional teams, including frontend engineers, DevOps, QA, and product managers, to deliver end-to-end features. Connect the Dots: Align efforts across development, architecture, DevOps, and product strategy—ensuring a holistic view of how components interoperate and impact the business. Required Skills and Qualifications 7+ years of experience in backend development, system engineering, or similar roles. Proven experience as an individual contributor (IC) and architect in complex software systems. Expertise in languages such as Python. Strong knowledge of relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases. Experience building distributed systems and working with microservices and event-driven architecture. Proficiency in Docker and Kubernetes for containerization and orchestration. Familiarity with cloud platforms like AWS, Azure, or GCP. Solid understanding of CI/CD pipelines, monitoring tools, and Git-based version control. Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment. Good to Have Experience with frontend frameworks like React, Angular, or Vue.js. Understanding of state management, component-driven architecture, and responsive design. Familiarity with UI/UX principles to bridge frontend and backend functionality. How to apply for this opportunity: Easy 3 Step Process: 1. Click On Apply and register or log in to our portal 2.Upload updated Resume & complete the Screening Form 3. Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Tech Lead Experience: 7-9 Years Exp Salary: 20 to 24 LPA Preferred Notice Period : Within 30 Days Opportunity Type: Office (Indore) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Python, React.js, Docker, Kubernetes vEngageai (One of Uplers' Clients) is looking for: Job Description: About the Role: We are seeking a Senior Software Engineer – Tech Lead to join our dynamic team. This role is critical in driving the architecture, development, and delivery of robust backend systems across our product line. As a Tech Lead, you will be hands-on with implementation while also guiding your team, conducting code reviews, and ensuring best practices are followed. You will be deeply involved in all ongoing projects within the product line, helping to "connect the dots" across systems, teams, and technologies to deliver scalable and high-performing enterprise solutions. Key Responsibilities Backend Development: Design, implement, and maintain backend services and APIs with a focus on scalability, security, and performance. Architectural Ownership: Serve as the lead architect for backend systems, defining and refining system designs and ensuring long-term scalability and maintainability. Project Involvement: Be actively involved in all projects running within the product line—understanding requirements, tracking progress, and offering strategic direction. Team Guidance: Guide and mentor developers through code reviews, technical guidance, and knowledge-sharing sessions. Help the team understand how projects are architected and operate in production. Code Reviews & Implementation Oversight: Conduct detailed code reviews to ensure adherence to best practices and lead implementation efforts on critical components. Database Engineering: Architect and optimize relational and NoSQL databases, ensuring efficient data storage and retrieval processes. System Engineering: Monitor and optimize system-level performance and architecture to maintain high availability and reliability. Distributed Systems: Build and maintain distributed architectures to support high availability, concurrency, and fault tolerance. Containerization: Develop and deploy applications using Docker, Kubernetes, or equivalent container orchestration tools. Collaboration: Work closely with cross-functional teams, including frontend engineers, DevOps, QA, and product managers, to deliver end-to-end features. Connect the Dots: Align efforts across development, architecture, DevOps, and product strategy—ensuring a holistic view of how components interoperate and impact the business. Required Skills and Qualifications 7+ years of experience in backend development, system engineering, or similar roles. Proven experience as an individual contributor (IC) and architect in complex software systems. Expertise in languages such as Python. Strong knowledge of relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases. Experience building distributed systems and working with microservices and event-driven architecture. Proficiency in Docker and Kubernetes for containerization and orchestration. Familiarity with cloud platforms like AWS, Azure, or GCP. Solid understanding of CI/CD pipelines, monitoring tools, and Git-based version control. Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment. Good to Have Experience with frontend frameworks like React, Angular, or Vue.js. Understanding of state management, component-driven architecture, and responsive design. Familiarity with UI/UX principles to bridge frontend and backend functionality. How to apply for this opportunity: Easy 3 Step Process: 1. Click On Apply and register or log in to our portal 2.Upload updated Resume & complete the Screening Form 3. Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Tech Lead Experience: 7-9 Years Exp Salary: 20 to 24 LPA Preferred Notice Period : Within 30 Days Opportunity Type: Office (Indore) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Python, React.js, Docker, Kubernetes vEngageai (One of Uplers' Clients) is looking for: Job Description: About the Role: We are seeking a Senior Software Engineer – Tech Lead to join our dynamic team. This role is critical in driving the architecture, development, and delivery of robust backend systems across our product line. As a Tech Lead, you will be hands-on with implementation while also guiding your team, conducting code reviews, and ensuring best practices are followed. You will be deeply involved in all ongoing projects within the product line, helping to "connect the dots" across systems, teams, and technologies to deliver scalable and high-performing enterprise solutions. Key Responsibilities Backend Development: Design, implement, and maintain backend services and APIs with a focus on scalability, security, and performance. Architectural Ownership: Serve as the lead architect for backend systems, defining and refining system designs and ensuring long-term scalability and maintainability. Project Involvement: Be actively involved in all projects running within the product line—understanding requirements, tracking progress, and offering strategic direction. Team Guidance: Guide and mentor developers through code reviews, technical guidance, and knowledge-sharing sessions. Help the team understand how projects are architected and operate in production. Code Reviews & Implementation Oversight: Conduct detailed code reviews to ensure adherence to best practices and lead implementation efforts on critical components. Database Engineering: Architect and optimize relational and NoSQL databases, ensuring efficient data storage and retrieval processes. System Engineering: Monitor and optimize system-level performance and architecture to maintain high availability and reliability. Distributed Systems: Build and maintain distributed architectures to support high availability, concurrency, and fault tolerance. Containerization: Develop and deploy applications using Docker, Kubernetes, or equivalent container orchestration tools. Collaboration: Work closely with cross-functional teams, including frontend engineers, DevOps, QA, and product managers, to deliver end-to-end features. Connect the Dots: Align efforts across development, architecture, DevOps, and product strategy—ensuring a holistic view of how components interoperate and impact the business. Required Skills and Qualifications 7+ years of experience in backend development, system engineering, or similar roles. Proven experience as an individual contributor (IC) and architect in complex software systems. Expertise in languages such as Python. Strong knowledge of relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases. Experience building distributed systems and working with microservices and event-driven architecture. Proficiency in Docker and Kubernetes for containerization and orchestration. Familiarity with cloud platforms like AWS, Azure, or GCP. Solid understanding of CI/CD pipelines, monitoring tools, and Git-based version control. Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment. Good to Have Experience with frontend frameworks like React, Angular, or Vue.js. Understanding of state management, component-driven architecture, and responsive design. Familiarity with UI/UX principles to bridge frontend and backend functionality. How to apply for this opportunity: Easy 3 Step Process: 1. Click On Apply and register or log in to our portal 2.Upload updated Resume & complete the Screening Form 3. Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Mizuho Global Services India Pvt. Ltd. Mizuho Global Services Pvt Ltd (MGS) is a subsidiary company of Mizuho Bank, Ltd, which is one of the largest banks or so called ‘Mega Banks’ of Japan. MGS was established in the year 2020 as part of Mizuho’s long-term strategy of creating a captive global processing centre for remotely handling banking and IT related operations of Mizuho Bank’s domestic and overseas offices and Mizuho’s group companies across the globe. At Mizuho we are committed to a culture that is driven by ethical values and supports diversity in all its forms for its talent pool. Direction of MGS’s development is paved by its three key pillars, which are Mutual Respect, Discipline and Transparency, which are set as the baseline of every process and operation carried out at MGS. Know more about MGS: https://www.mizuhogroup.com/asia-pacific/mizuho-global-services What’s in it for you? o Immense exposure and learning o Excellent career growth o Company of highly passionate leaders and mentors o Ability to build things from scratch Job Title : IT Infrastructure Management We are looking for a passionate individual, having computer science/IT UG/PG background with 8+ Years of experience and expertise in Monitoring, Maintenance, Upgrading, Installation, Configuring, Networks, Servers, Hardware, Software, Security Protocols, Threats, Access Control, Debugging, Documenting, Backing Up, Archiving, Data Retrieval, Recovery, IT Support, IT Administration. Should have experience in client communication on Project Management of IT Infrastructure. Only candidates with a valid Microsoft 365 certification are eligible Desirable Profile Total Relevant Experience: 10+ years. Client communication experience is a must. Past experience should include Top tier IT Companies. Technical Skills: L2 protocols, Network Infrastructure, Windows Server, Linux server, DNS, TCPIP, SMTP Email Server configuration, load balancer. SQL Server database administration. Good communication skills and logical ability is mandatory. Project Management certifications are an added advantage. Other Roles and Responsibilities MCSE, CCNA, or similar certifications desirable. Take ownership of customer issues reported and see problems through to resolution. Troubleshoot and resolve issues through sharing best practices and direct resolution. Excellent written and verbal communication and effective organizational and multi-tasking skills. Proven ability to quickly learn new technical domains and train others. Should be flexible to work in an operational environment, rotational shifts and on-call schedule. The knowledge of network, firewalls, load balancer, API gateway, flapping, Network monitoring, coordinating with network vendor, last mile. Deep understanding of TCPIP and other network protocols. Familiarity with DNS, DHCP and other networking services. Good work experience in L2 protocols testing (VLAN, IGMP, ARP, 802.1x, QoS, DHCP, PPPoE, IPV6) Experience in windows server administration, Installation, Troubleshooting and technical support. Advanced knowledge in RAID configuration. L2 System Engineering Support for IT Infrastructure Web Hosting Platforms Expertise in Windows 2008, 2012,2016,2019 System administration Understanding of SQL and DB admin knowledge. Windows Server administration, Active Directory, Patch Management, User management to create and manage users, groups, renaming groups, deleting groups Monitoring, configuring and maintaining Windows systems and servers. Proficient in ITIL processes in managing incidents, problems, and change management. DR Server management and sync with primary location. SMTP Email Server configuration and management. Coordinating with different department for getting the operational work done. Handling multiple minor and major incidents/calls received with Remote support. Experience in troubleshooting Windows OS, office, Email Experience in troubleshooting Office 365. Basic understanding of Active Directory. Access management of IT Assets. SQL Server Software installation and Maintenance, Database Backup and Recovery, Security, Authentication, Capacity Planning, Performance Monitoring, Database Tuning, Troubleshooting. Manage SQL Server databases, Ids and Passwords. Configure, maintain and monitor database servers, processes, system's health and performance. Ensure high levels of performance, availability, sustainability, and security. Analyze, solve, and correct issues in real time and Provide suggestions for solutions. Refine and automate regular processes, track issues, and document changes. Assist developers with query tuning and schema refinement. Perform scheduled maintenance and support release deployment activities after hours. SQL server patching, Migration, and upgradation. Good knowledge on SQL Agent and other SQL services. Understanding of compliance baselines and the significance of those baselines. Hands-on knowledge on in any of the storage management applications like Storage Essentials, ECC etc. System administration experience on HPUX or Sun Solaris, and knowledge on Volume Manager Concepts would be an added value. In depth Knowledge on ITIL processes like Incident management, Problem Management, Configuration management and Change Management processes. Certification on HP Storage technology is an added advantage. DR Server management and sync with primary location. Other general responsibilities as instructed by management. Address: 16th Floor, Tower-B Brigade, World Trade centre, 142, Rajiv Gandhi Salai, OMR, Perungudi, Chennai, Tamil Nadu 600096, India

About Technomine: Experience Required : - 4+ Years Job Location : - CG Road Ahmedabad Working Days : - 5 Shift Timings : - 11:00 AM to 08:00 PM One Time Meal Facility Available Founded in 2008, we are a client centric Business Process Outsourcing and Knowledge Process Outsourcing partner based in India providing high quality services to our clients across the globe in the United States, United Kingdom, Europe and the Middle East. We primarily serve clients operating in the Video Surveillance, Travel Industry, Healthcare Industry, Medical Record Retrieval, Accounting Services, Recruitment firms and IT enabled Enterprise solutions . Our representatives can provide you with on-site support across the globe if required. With over sixteen years of experience and excellence in service, we have been a trusted business partner to our clients. At Technomine, we bridge the gap between talent and opportunity, offering Marketing Specialists the chance to collaborate with dynamic companies across the UK, USA, Canada, and Australia. Our network is a vibrant ecosystem of innovative businesses, each committed to excellence in their fields. We are looking for Senior and Intermediate Python Web Developers to join our growing team. This is a great opportunity to join an ambitious group of like-minded, talented individuals where you can grow your skills and make a real contribution to the future of the company. We build SaaS browser-based applications and with growing customer requirements we need to expand our team. Come and work on our exciting projects, bring your own ideas and make an impact. We are looking for someone with the following skills: ● 4+ years of Python and Flask or Django experience ● HTML/CSS ● Javascript programming for the web ● MySQL/MariaDB and SQLAlchemy ● Knowledge of object-oriented programming (OOP) principles ● Understanding of APIs, REST, XML ● Experience with UNIX-based operating systems ● Using Git and Github for CI/CD processes, PRs and code reviews Our tech stack is Python with Flask and SQLAlchemy running on Docker and hosted on AWS. We use MySQL, Linux, and our own custom Python modules for rapid creation of administration systems to solve customer problems. We write vanilla JS, HTML and CSS and try to keep things simple. These are the areas we need you to be proficient in, so tell us what you can do. If you have travel industry development experience – even better. Show us your passion with applications or tools you have developed yourself, or something you’re proud of that sets you apart from the rest. We’re interested in experience and enthusiasm as much as any qualifications you may hold.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Enterprise Essentials team within Financial Data Engineering is hiring for a highly skilled Senior Engineering Manager with expertise in Python/Java Full Stack Development, Generative AI, Data Engineering, and Natural Language Processing. The Senior Engineering Manager will be working on creating new capabilities and modernizing existing ones in the domain of Global Tax, Finance and GSM Conversational AI platforms, and Enterprise essential products like Reconciliations, ERRM, Balancing and Control, Concur, and Ariba. The ideal candidate will be responsible for designing, developing, and maintaining scalable AI-driven applications and data pipelines. This role requires a deep understanding of NLP techniques, modern AI frameworks, data engineering best practices, and full-stack development to build innovative solutions that leverage machine learning and AI technologies. Key Responsibilities: Oversees and mentors a team of Software Engineering colleagues, enabling a culture of continuous learning, growth opportunities, and inclusivity for all individual colleagues and teams. Provides direct leadership and coaching to teams, supporting training and development of best practices. Manages resource allocation, project timeline, and budget for Software Engineering projects, ensuring alignment with organizational goals. Collaborates with senior leadership to hire top talent for the team, ensuring a high-functioning and cohesive unit, implementing strategies for talent retention and professional development Leads the development, deployment, support, and monitoring of software across various environments. Collaborates with senior leadership and cross-functional teams to define and implement technology roadmaps and strategies. Leads teams to innovate and automate processes, driving efficiency and scalability in production environments. Drives continuous improvement initiatives, leveraging metrics and feedback to improve team performance and software quality. Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives. Full Stack Development: Design and develop scalable and secure applications using Java / Python framework, and front-end technologies such as React. Implement and optimize microservices, APIs, and server-side logic for AI-based platforms. Develop and maintain cloud-based, containerized applications (Docker, Kubernetes). Design, optimize, and deploy high-performance systems ensuring minimal latency and maximum throughput. Architect solutions for real-time processing, ensuring low-latency data retrieval and high system availability. Troubleshoot and enhance system performance, optimizing for large-scale, real-time, distributed and COTS applications. Generative AI & Machine Learning: Develop, and deploy innovative solutions in Tax, and finance using ML & Generative AI models leveraging frameworks such as langchain. Implement NLP algorithms for language understanding, text summarization, information extraction, and conversational agents. Create pipelines for training and deploying AI models efficiently in production environments. Collaborate with data scientists to optimize and scale AI/NLP solutions. Integrate AI/ML models into applications, ensuring proper scaling, optimization, and monitoring of models in production. Design solutions that enable fast and efficient inference for real-time AI applications. Data Engineering: Build and maintain data pipelines to support AI/ML model development and deployment. Design and develop ETL processes to ingest, clean, and process large-scale structured and unstructured datasets. Work with data storage and retrieval solutions like SQL/NoSQL databases, data lakes, and cloud storage (GCP, AWS, or Azure). Ensure data integrity, security, and performance of the data pipelines. Collaboration & Leadership: Lead cross-functional teams to deliver high-quality, AI-driven products. Lead and mentor engineers and collaborate with product managers, data scientists, and business stakeholders to ensure alignment with project goals. Keep up-to-date with the latest advancements in AI, NLP, and data engineering, and provide technical guidance to the team. Takes accountability for the success of the team achieving their goals Drives the team’s strategy and prioritizes initiatives Influence team members by challenging status quo, demonstrating risk taking, and implementing creative ideas. Be a productivity multiplier for your team by analysing your workflow and contributing to enable the team to be more effective, productive, and demonstrating faster and stronger results. Mentor and guide team members to success within the team Minimum Qualifications Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or a related field. 10+ years of experience in software engineering in architecture and design (architecture, design patterns, reliability and scaling) of new and existing systems. Strong experience in developing full stack software in Java or Python, data engineering, and AI/NLP solutions and demonstrated ability to quickly learn new languages. Following standard Engineering excellence standards while building software. Leveraging code assistants like Github Copilot. Writing great prompts for generating high quality code, tests, and other artefacts like documentation. Proficiency in data engineering tools and frameworks like GCP BigQuery, Apache Spark, Kafka. Proficiency with containerization (Docker, Kubernetes), CI/CD pipelines, and version control. Experience with RESTful API design, microservices architecture, and cloud platforms (AWS / GCP / Azure). Preferred Qualifications Experience working with large-scale AI systems in production environments. Familiarity with modern AI research and developments in Generative AI and NLP. `Strong understanding of DevOps and Infrastructure-as-Code (Terraform, Ansible). Proven track record of delivering AI-driven products that scale Understanding of MLOps practices will be a plus. Familiarity with Generative AI models and frameworks (e.g., GPT, DALL-E) Knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) will be a plus We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Role Purpose With minimal guidance, act as part of a team to process transactions in accordance with Service Level Agreements. Follow appropriate accounting, finance and/or Human Resources policies and procedures in assigned function. Identify discrepancies, clear errors, and perform route-cause analysis. Contribute to the continuous improvement of all areas in process scope. Track and report specific Service Level Agreement requirements and metrics. Key Accountabilities SPECIALITY PROCESSING - Process transactions in accordance with Service Level Agreements. Maintain and update the team’s records management for tracking, communications and continuous improvement purposes. Perform specialty accounting or human resources functions such as maintaining, reconciling, analyzing, and preparing financial statements. Specialty accounting functions include, but are not limited to, providing expertise in the investigation and analysis of significant changes in key account balances. Responsibilities also include identifying and implementing solutions to resolve significant changes to key account balances. Review a variety of documents, listings, summaries, etc. for completeness and accuracy. Analyze assigned system reports to ensure accuracy, research and resolve problems; ensure the integrity of assigned system and data. Prepare and compile various reports as required for special studies and projects. Prepare monthly financial statements using standard accounting practices. Communicate with the customer to obtain correct information or financial data, as necessary. Check records against other current sources such as reports or summaries; investigate differences and take required action to insure that records are accurate and up to date. Operate a computer system, including input, edit, retrieval and analysis of transactional data. Provide recommendations for future system enhancements and process improvements. Select, interpret, classify and adjust inputted data and arrange, convert and compile data into report form. Facilitate continued improvement efforts with the Work Team and with the Customer and Process Support Team. CUSTOMER SUPPORT - May be required to talk to customers, clients or suppliers over the phone. May contact the Customer and Process Support Team to obtain correct information on the remittance advice, as necessary. Apply analytical techniques to one or more disciplines. May perform statistical analyses and create accurate charts, tables and graphs in the correct format and within established time frames as required. Select and use appropriate software to effectively analyze data. Compile and analyze financial information. Effectively communicate findings and make recommendations to appropriate staff, including key stakeholders and business leaders. Maintain a consistent, high quality customer-focused orientation. Listen to and communicate with customer to obtain all required information necessary to determine and address their specific needs; tactfully explain why, if service cannot be provided. Respond to individuals in manner and timeframe promised or follow-up to explain status. Provide clear, accurate information; explain procedures or materials or provide supplemental information; anticipate problems or questions. Functional Complexities and Duties – Prepare monthly hotel and corporate financial statements and ensuring integrity and accuracy are maintained. Prepare and review monthly balance sheet and bank reconciliation’s and appropriate reconciling journal entries. Responsible for financial data collection process. Prepare or review work-papers for internal / external auditors. Facilitate training and supporting hotel general management / accounting staff. Key Skills & Experiences Education – Associate Degree or Bachelor's Degree or technical institute degree/certificate or an equivalent combination of education and work related experience. Experience – 1 to 3 years progressive work related experience with demonstrated proficiency and understanding in one or more functions related to the position. Technical Skills and Knowledge – Demonstrated knowledge of People Soft or other E.R.P. system’s finance, accounting and/or Human Resources modules. Demonstrated proficiency in accurately populating databases with necessary information in designated time periods. Demonstrates clear, concise and succinct communication skills including adapting both verbal and written communication to the needs and level of the user. Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.

Area(s) of responsibility Application Development: Build GenAI applications from scratch using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Python Programming: Develop high-quality, efficient, and maintainable Python code for GenAI solutions. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. Fine-tune SLM(Small Language Model) for domain specific data and use cases. Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends. Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications. OCR and Document Intelligence: Develop solutions for Optical Character Recognition (OCR) and document intelligence using cloud-based tools. API Integration: Use REST, SOAP, and other protocols to integrate APIs for data ingestion, processing, and output delivery. Cloud Platform Expertise: Leverage Azure, GCP, and AWS for deploying and managing GenAI applications. Fine-Tuning LLMs: Apply fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLMs for specific use cases. LLMOps Implementation: Set up and manage LLMOps pipelines for continuous integration, deployment, and monitoring. Responsible AI Practices: Ensure ethical AI practices are embedded in the development process. RAG and Modular RAG: Implement Retrieval-Augmented Generation (RAG) and Modular RAG architectures for enhanced model performance. Data Curation Automation: Build tools and pipelines for automated data curation and preprocessing.

Tech Lead Experience: 7-9 Years Exp Salary: 20 to 24 LPA Preferred Notice Period : Within 30 Days Opportunity Type: Office (Indore) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Python, React.js, Docker, Kubernetes vEngageai (One of Uplers' Clients) is looking for: Job Description: About the Role: We are seeking a Senior Software Engineer – Tech Lead to join our dynamic team. This role is critical in driving the architecture, development, and delivery of robust backend systems across our product line. As a Tech Lead, you will be hands-on with implementation while also guiding your team, conducting code reviews, and ensuring best practices are followed. You will be deeply involved in all ongoing projects within the product line, helping to "connect the dots" across systems, teams, and technologies to deliver scalable and high-performing enterprise solutions. Key Responsibilities Backend Development: Design, implement, and maintain backend services and APIs with a focus on scalability, security, and performance. Architectural Ownership: Serve as the lead architect for backend systems, defining and refining system designs and ensuring long-term scalability and maintainability. Project Involvement: Be actively involved in all projects running within the product line—understanding requirements, tracking progress, and offering strategic direction. Team Guidance: Guide and mentor developers through code reviews, technical guidance, and knowledge-sharing sessions. Help the team understand how projects are architected and operate in production. Code Reviews & Implementation Oversight: Conduct detailed code reviews to ensure adherence to best practices and lead implementation efforts on critical components. Database Engineering: Architect and optimize relational and NoSQL databases, ensuring efficient data storage and retrieval processes. System Engineering: Monitor and optimize system-level performance and architecture to maintain high availability and reliability. Distributed Systems: Build and maintain distributed architectures to support high availability, concurrency, and fault tolerance. Containerization: Develop and deploy applications using Docker, Kubernetes, or equivalent container orchestration tools. Collaboration: Work closely with cross-functional teams, including frontend engineers, DevOps, QA, and product managers, to deliver end-to-end features. Connect the Dots: Align efforts across development, architecture, DevOps, and product strategy—ensuring a holistic view of how components interoperate and impact the business. Required Skills and Qualifications 7+ years of experience in backend development, system engineering, or similar roles. Proven experience as an individual contributor (IC) and architect in complex software systems. Expertise in languages such as Python. Strong knowledge of relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases. Experience building distributed systems and working with microservices and event-driven architecture. Proficiency in Docker and Kubernetes for containerization and orchestration. Familiarity with cloud platforms like AWS, Azure, or GCP. Solid understanding of CI/CD pipelines, monitoring tools, and Git-based version control. Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment. Good to Have Experience with frontend frameworks like React, Angular, or Vue.js. Understanding of state management, component-driven architecture, and responsive design. Familiarity with UI/UX principles to bridge frontend and backend functionality. How to apply for this opportunity: Easy 3 Step Process: 1. Click On Apply and register or log in to our portal 2.Upload updated Resume & complete the Screening Form 3. Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Tech Lead Experience: 7-9 Years Exp Salary: 20 to 24 LPA Preferred Notice Period : Within 30 Days Opportunity Type: Office (Indore) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Python, React.js, Docker, Kubernetes vEngageai (One of Uplers' Clients) is looking for: Job Description: About the Role: We are seeking a Senior Software Engineer – Tech Lead to join our dynamic team. This role is critical in driving the architecture, development, and delivery of robust backend systems across our product line. As a Tech Lead, you will be hands-on with implementation while also guiding your team, conducting code reviews, and ensuring best practices are followed. You will be deeply involved in all ongoing projects within the product line, helping to "connect the dots" across systems, teams, and technologies to deliver scalable and high-performing enterprise solutions. Key Responsibilities Backend Development: Design, implement, and maintain backend services and APIs with a focus on scalability, security, and performance. Architectural Ownership: Serve as the lead architect for backend systems, defining and refining system designs and ensuring long-term scalability and maintainability. Project Involvement: Be actively involved in all projects running within the product line—understanding requirements, tracking progress, and offering strategic direction. Team Guidance: Guide and mentor developers through code reviews, technical guidance, and knowledge-sharing sessions. Help the team understand how projects are architected and operate in production. Code Reviews & Implementation Oversight: Conduct detailed code reviews to ensure adherence to best practices and lead implementation efforts on critical components. Database Engineering: Architect and optimize relational and NoSQL databases, ensuring efficient data storage and retrieval processes. System Engineering: Monitor and optimize system-level performance and architecture to maintain high availability and reliability. Distributed Systems: Build and maintain distributed architectures to support high availability, concurrency, and fault tolerance. Containerization: Develop and deploy applications using Docker, Kubernetes, or equivalent container orchestration tools. Collaboration: Work closely with cross-functional teams, including frontend engineers, DevOps, QA, and product managers, to deliver end-to-end features. Connect the Dots: Align efforts across development, architecture, DevOps, and product strategy—ensuring a holistic view of how components interoperate and impact the business. Required Skills and Qualifications 7+ years of experience in backend development, system engineering, or similar roles. Proven experience as an individual contributor (IC) and architect in complex software systems. Expertise in languages such as Python. Strong knowledge of relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases. Experience building distributed systems and working with microservices and event-driven architecture. Proficiency in Docker and Kubernetes for containerization and orchestration. Familiarity with cloud platforms like AWS, Azure, or GCP. Solid understanding of CI/CD pipelines, monitoring tools, and Git-based version control. Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment. Good to Have Experience with frontend frameworks like React, Angular, or Vue.js. Understanding of state management, component-driven architecture, and responsive design. Familiarity with UI/UX principles to bridge frontend and backend functionality. How to apply for this opportunity: Easy 3 Step Process: 1. Click On Apply and register or log in to our portal 2.Upload updated Resume & complete the Screening Form 3. Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title: Executive – AI Engineering Location: Andheri (Mumbai) Industry: Pharmaceutical Experience Required: 4+ years in Gen AI/ML, NLP application development Employment Type: Full-time About the Role: We are looking for a highly skilled Senior AI Engineer – GenAI & Applied ML to independently design, develop, and deploy advanced AI solutions. This is a senior individual contributor role focused on building production-grade Generative AI systems, agentic applications, and intelligent bots using state-of-the-art LLMs, SLMs, and embedding models. You’ll work hands-on across the full AI stack — from fine-tuning models and writing APIs to implementing text-to-SQL and voice-enabled assistants. If you have a strong track record of single-handedly delivering complex AI systems and a deep understanding of modern ML and GenAI trends, we want to hear from you Key Responsibilities: Design, build, and deploy production-ready AI solutions leveraging LLMs, SLMs, embedding models, and advanced ML techniques. Develop intelligent chat agents, voice-enabled bots, and autonomous agentic AI systems tailored to various domains and user contexts. Implement context-aware systems using RAG (Retrieval-Augmented Generation), custom embeddings, and vector databases to optimize relevance and response quality. Fine-tune and customize open-source and proprietary LLMs (e.g., GPT, Claude, LLaMA, Mistral, Phi 4) for domain-specific applications and enhanced performance. Build and expose scalable APIs to serve AI models and integrate them into broader application ecosystems. Own the full AI lifecycle — from architecture and experimentation to deployment and performance tuning. Translate business needs into technical blueprints in collaboration with product owners, data teams, and domain experts. Proactively research and prototype with the latest advancements in GenAI, agent frameworks, and multimodal models to drive innovation. Understanding of evaluation frameworks for GenAI systems, including prompt robustness, hallucination mitigation, and human-in-the-loop feedback loops. Requirements: · 4 + years of hands-on experience in building and deploying AI/ML/NLP applications, including at least 2 years working with LLMs or GenAI systems in production environments. · Proven experience with state-of-the-art LLMs/SLMs , such as GPT-3.5/4, Claude, LLaMA, Mistral, or similar, including prompt engineering, model evaluation, and fine-tuning. · Practical expertise in building RAG pipelines , designing embedding workflows , and using vector databases like FAISS, Pinecone, or Weaviate. · Strong Python programming skills with experience in Hugging Face Transformers , LangChain , LanGraph, OpenAI/Anthropic SDKs , and other GenAI frameworks. · Solid grasp of ML/NLP fundamentals including data preprocessing , model optimization , evaluation metrics , and real-world deployment strategies . · Familiarity with deploying AI models through APIs, cloud platforms, or containerized environments (e.g., Docker, FastAPI, Flask). · Excellent analytical and debugging skills; ability to independently research, prototype, and solve complex problems end-to-end. · Bonus: Exposure to voice AI systems , speech-to-text APIs, or audio-driven interfaces is an advantage. Nice to Have: Familiarity with regulatory and compliance frameworks relevant to AI in life sciences, such as GxP , HIPAA , GDPR , or similar standards. Experience integrating AI models into enterprise platforms , pharma-specific systems , or regulated IT environments . Knowledge of agent frameworks (e.g., AutoGen, CrewAI, LangGraph) and how to operationalize them in real-world use cases. Exposure to speech recognition APIs , voice interface design, or building voice-enabled assistants . Educational Qualifications: Bachelor’s Degree in Engineering (B.E./B.Tech.) or Master’s Degree in Computer Applications (MCA/ M.Tech) . Additional Qualifications in Artificial Intelligence, Machine Learning, or Data Science are highly desirable. Benefits We Offer: Access to a state-of-the-art facility equipped with modern and collaborative workspaces. Free gym facility to promote health and well-being of employees. Dynamic and inclusive work environment focused on innovation and continuous learning. Opportunity to work on impactful projects at the intersection of AI and life sciences. Competitive compensation.

Exp: 4 to 6 Years Location: Chennai( T Nagar) Work mode: 5 Days Work from office Notice period: Immediate or Max 30 Days Only Job Summary: We are seeking a highly skilled and motivated MSSQL Developer with strong Database Administrator (DBA) knowledge to join our dynamic team in Chennai. This role offers a unique opportunity to contribute to the development and maintenance of our critical database systems and applications. The ideal candidate will be proficient in designing, developing, and optimizing SQL Server databases. You will work closely with development teams to ensure efficient and reliable data solutions. Responsibilities: Database Development: Design, develop, and implement database schemas, tables, stored procedures, views, functions, and triggers using T-SQL. Write efficient and optimized SQL queries for data retrieval, manipulation, and reporting. Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance. Develop and maintain ETL (Extract, Transform, Load) processes using tools like SSIS (SQL Server Integration Services). Ensure data integrity, accuracy, and consistency across the database systems. Database Administration: Monitor database performance, identify bottlenecks, and implement performance tuning measures (e.g., indexing, query optimization). Troubleshoot database issues and provide timely resolutions. Develop and maintain database documentation, including data models, schemas, and operational procedures. Collaboration and Communication: Collaborate effectively with application development teams to understand their data requirements and provide optimal database solutions. Communicate technical information clearly and concisely to both technical and non-technical stakeholders. Participate in code reviews and provide constructive feedback. Stay up-to-date with the latest SQL Server features, tools, and best practices. Required Skills and Experience: Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum of 4 to 6 years of hands-on experience as an MSSQL Developer. Proven experience in database design, development, and optimization using T-SQL. Solid understanding of relational database concepts, normalization, and data modeling. Demonstrable experience in SQL Server database administration tasks performance tuning, and security. Experience with ETL processes and tools, preferably SSIS. Familiarity with database monitoring tools and techniques. Understanding of high availability and disaster recovery concepts and implementations. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work independently and as part of a team. Preferred Skills: Knowledge of other database technologies (e.g., NoSQL). Experience with scripting languages like PowerShell. Familiarity with agile development methodologies.