We are looking for a Prompt Engineer with over 3 years of experience in designing, developing, and optimizing prompts for large language models (LLMs) like OpenAI GPT, Claude, or Gemini. You will work closely with data scientists, product managers, and software engineers to create effective natural language prompts that enable AI systems to perform complex tasks reliably. Key Responsibilities Design, test, and refine effective prompts for tasks involving language generation, summarization, classification, extraction, reasoning, and conversation. Evaluate and analyze LLM output for accuracy, relevance, coherence, and safety. Collaborate with cross-functional teams to integrate LLM capabilities into production applications or internal tools. Build prompt libraries and maintain versioning and documentation. Conduct prompt A/B testing, performance benchmarking, and maintain feedback loops for iterative improvements. Fine-tune or guide model behavior using advanced techniques like few-shot prompting, chain-of-thought reasoning, and system instructions. Stay updated with LLM research advancements and integrate best practices into workflow. Required Skills & Qualifications Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or a related field. 3+ years of experience working with AI/ML systems or NLP-focused products. Deep understanding of prompt engineering principles and hands-on experience with LLMs like OpenAI GPT (ChatGPT, GPT-4), Anthropic Claude, etc. Familiarity with API-based interaction with LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face). Strong analytical and critical thinking skills to design experiments and evaluate model behavior. Proficient in Python or JavaScript for scripting and experimentation. Excellent written and verbal communication skills. Preferred Qualifications Experience with vector databases (e.g., Pinecone, Weaviate), RAG systems, or knowledge graphs. Exposure to tools like LangChain, LlamaIndex, or PromptLayer. Experience working in agile environments or AI-driven startups. Prior work in conversational AI, chatbots, or AI copilots.

Job description Job description Job Summary: We are looking for a results-driven and innovative Data Scientist with 46 years of experience in data analysis, machine learning, and product optimization. The ideal candidate will have a strong foundation in Python, SQL, and cloud services, along with practical exposure to GenAI, LLMs, and MLOps frameworks. You will be responsible for building scalable data pipelines, developing machine learning models, and solving real-world business problems with data-driven solutions. Key Responsibilities: Design and deploy LLM-powered solutions (e.g., RAG, LangChain, Vector DB) to enhance business processes. Build and fine-tune traditional ML models (Random Forest, Decision Trees) for predictive analytics. Optimize LLM performance using LoRA fine-tuning and post-training quantization. Develop and deploy containerized AI applications using Docker and FastAPI. Collaborate with agents like CrewAI and LangSmith to automate document processing and data extraction workflows. Implement Python & SQL-based ETL pipelines for real-time data ingestion. Design dashboards and KPI monitoring tools using Metabase to enable data-driven decision-making. Create data consumption triggers and automate reporting for international stakeholders. Moderate large-scale live virtual data science classes and provide operational support. Required Skills: Programming: Python, SQL, FastAPI ML & AI: Random Forest, Decision Trees, Clustering, PCA, DL, NLP, Transformers, Gen AI Frameworks/Tools: LangChain, MLflow, Kubeflow, CrewAI, LangSmith DevOps: Docker, Git Databases: MySQL, PostgreSQL, MongoDB Cloud: AWS (S3, EC2) Visualization: Metabase Other: Experience with LLM fine-tuning and quantization Role & responsibilitiesRole & responsibilities Preferred candidate profile

Role & responsibilities System analyst - 5+ experience . This role is focused specifically on system analysis in the context of integrations and high-load fintech platforms. While there is some overlap with business analysis, the day-to-day responsibilities are much more technical and system-focused. Key responsibilities include: Analyzing and documenting integration flows between internal systems and third-party platforms (e.g., LMS, CBS, KYC, credit bureaus, payment gateways) Designing and validating API specifications REST/SOAP, JSON/XML, callback flows, retry logic Defining system-level workflows (e.g., process triggers, fallback mechanisms, queue-based design suggestions) Preparing functional and system requirement documents (FRD, SRS) in collaboration with architects and developers Working closely with tech leads and architects to translate system needs into implementable technical solutions – e.g., deciding whether to use BPMN, RPA, or Kafka-based queues Supporting SIT/UAT by providing technical clarification, mapping expected vs actual integration behaviour Ensuring consistency and completeness across layers – backend, workflow engine, external integrations, and frontend You're right that the business analyst might define the goal ("a message should not be dropped"), but the system analyst defines how this should be ensured within existing system constraints, working hand-in-hand with architects on technical implementation planning.

We are looking for an experienced Asterisk and FreeSWITCH Developer to design, develop, and maintain robust VoIP communication systems. You will be instrumental in creating scalable PBX systems, call center solutions, and custom telephony applications using open-source VoIP platforms. Key Responsibilities: Design, implement, and maintain VoIP solutions using Asterisk and FreeSWITCH . Develop and manage PBX systems , IVRs, and SIP-based telephony features. Integrate VoIP systems with CRM, databases, and third-party APIs. Monitor and troubleshoot VoIP network performance, ensuring high availability and quality of service. Customize dial plans, call flows, codecs, and other telephony features. Maintain system documentation and provide post-deployment support. Required Skills: Hands-on experience (3-5 years) with Asterisk and FreeSWITCH . Strong understanding of SIP, RTP, and VoIP protocols . Proficiency in Linux system administration and scripting (e.g., Bash, Python). Familiarity with MySQL/PostgreSQL for backend data handling. Experience with tools like Wireshark , SIPp , or other VoIP testing utilities. Knowledge of call routing , media transcoding , and NAT traversal . Good to Have: Experience integrating VoIP platforms with CRM systems . Exposure to Kamailio/OpenSIPS , WebRTC, or telephony billing systems. Certification in VoIP technologies or Linux administration.

We are seeking a dynamic and motivated HR Recruiter with 12 years of experience to join our Human Resources team. The ideal candidate will be responsible for end-to-end recruitment, from sourcing and screening candidates to coordinating interviews and onboarding. Key Responsibilities: Handle full-cycle recruitment for various roles across departments. Source candidates through job portals, social media, references, and internal databases. Screen resumes, conduct initial HR interviews, and coordinate with hiring managers. Schedule and follow up on technical interviews and feedback. Maintain and update candidate database and recruitment reports. Assist in drafting and issuing offer letters, onboarding documentation, and background checks. Support in employer branding and employee engagement initiatives when required. Requirements: Bachelors degree in Human Resources, Business Administration, or a related field. 12 years of proven experience in recruitment or talent acquisition. Good knowledge of sourcing techniques and recruitment tools (e.g., Naukri, LinkedIn). Strong communication, interpersonal, and negotiation skills. Ability to manage multiple requirements and work in a fast-paced environment. Familiarity with applicant tracking systems (ATS) is a plus. Preferred Skills: Experience recruiting for IT and Non-IT roles. Knowledge of basic HR operations and processes.

Role: We are seeking a highly skilled Microsoft Full Stack Developer with strong experience in Azure Cloud services, .NET/C# API development, and React/Redux on the frontend. This role is focused on delivering high-quality roadmap features that enhance our Unified Catalog (UC) and Data Quality (DQ) capabilities. The ideal candidate will be a hands-on contributor capable of working across the stack, ensuring seamless integration between frontend and backend services in a scalable cloud environment. Key Responsibilities: Design, develop, and deploy scalable and secure APIs using .NET Core/C# on Azure Cloud. Build and maintain dynamic frontend applications using React.js and Redux. Collaborate closely with product owners and cross-functional teams to implement features for the Unified Catalog (UC) and Data Quality (DQ) platforms. Develop and maintain CI/CD pipelines for cloud deployments. Monitor and optimize application performance, scalability, and reliability. Participate in code reviews, product discussions and design sessions. Ensure end-to-end quality through automated testing and continuous integration. Required Qualifications: Bachelor's degree in Computer Science, Engineering, or equivalent degree. 5+ years of professional experience in full stack development. Proficient in .NET Core/C# for backend development. Strong experience with Azure Cloud Services (Azure Functions, App Services, Azure API Management, etc.). Solid hands-on experience with React.js and Redux in building responsive web applications. Experience with RESTful API design and integration. Strong analytical, problem-solving, and communic Preferred candidate profile

Role & responsibilities Required Qualification : BE/BSC-IT/MCA Roles and Responsibilities: Role Description : We are seeking a highly skilled Windows Developer with extensive experience in .NET Core, Web API, MS SQL, and strong proficiency in C#. The ideal candidate will have a proven track record of developing solutions using .NET Core/Windows applications and will be responsible for application monitoring, developing new solutions to meet business needs, and documenting all application change requests for future use. Responsibilities : Developing and maintaining Windows applications using .NET Core and MS SQL. Creating and consuming Web APIs to enhance application functionality. Performing application monitoring to ensure smooth operations and quickly address any issues. Developing new solutions to meet evolving business requirements. Documenting all application change requests and maintaining knowledge in standard formats for future reference by different teams. Good To Have Skills(Please dont put any bullets and numbers)- WPF, Telerik controls on WPF Must Have Skills(Please don’t put any bullets and numbers)- Windows Developer, .NET Core, Web API, MS SQL, Very strong C# skills What the project need is very strong and experience C# programmers. WPF is just an additional skill if they have. we don’t need people who worked in support OR maintenance. People with product development background are the best fit. Preferred candidate profile

We are looking for an experienced Asterisk and FreeSWITCH Developer to design, develop, and maintain robust VoIP communication systems. You will be instrumental in creating scalable PBX systems, call center solutions, and custom telephony applications using open-source VoIP platforms. Key Responsibilities: Design, implement, and maintain VoIP solutions using Asterisk and FreeSWITCH . Develop and manage PBX systems , IVRs, and SIP-based telephony features. Integrate VoIP systems with CRM, databases, and third-party APIs. Monitor and troubleshoot VoIP network performance, ensuring high availability and quality of service. Customize dial plans, call flows, codecs, and other telephony features. Maintain system documentation and provide post-deployment support. Required Skills: Hands-on experience (3 5 years) with Asterisk and FreeSWITCH . Strong understanding of SIP, RTP, and VoIP protocols . Proficiency in Linux system administration and scripting (e.g., Bash, Python). Familiarity with MySQL/PostgreSQL for backend data handling. Experience with tools like Wireshark , SIPp , or other VoIP testing utilities. Knowledge of call routing , media transcoding , and NAT traversal . Good to Have: Experience integrating VoIP platforms with CRM systems . Exposure to Kamailio/OpenSIPS , WebRTC, or telephony billing systems. Certification in VoIP technologies or Linux administration.

Key Responsibilities: Design and implement scalable data pipelines using ETL/ELT frameworks. Develop and maintain data models and data warehouse architecture using Snowflake. Build and manage DBT (Data Build Tool) models for data transformation and lineage tracking. Write efficient and reusable Python scripts for data ingestion, transformation, and automation. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements. Ensure data quality, integrity, and governance across all data platforms. Monitor and optimize performance of data pipelines and queries. Implement best practices for data engineering, including version control, testing, and CI/CD. Required Skills and Qualifications: 8+ years of experience in data engineering or a related field. Strong expertise in Snowflake including schema design, performance tuning, and security. Proficiency in Python for data manipulation and automation. Solid understanding of data modeling concepts (star/snowflake schema, normalization, etc.). Experience with DBT for data transformation and documentation. Hands-on experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, Prefect). Strong SQL skills and experience with large-scale data sets. Familiarity with cloud platforms (AWS, Azure, or GCP) and data services.

We are looking for a highly skilled Full Stack Developer with expertise in .NET Core and React.js to design, develop, and deploy robust, scalable, and cloud-native applications. The ideal candidate will have a strong understanding of backend and frontend technologies, experience with Microsoft Azure, and a passion for building high-quality software in a collaborative environment. Key Responsibilities: Design, develop, and maintain scalable web applications using .NET Core (backend) and React.js (frontend). Build and integrate RESTful APIs, services, and microservices. Develop and deploy cloud-native applications leveraging Microsoft Azure services such as Azure Functions, App Services, Azure DevOps, and Blob Storage. Collaborate with cross-functional teams including UI/UX designers, product managers, and fellow developers to deliver efficient, user-friendly solutions. Write clean, maintainable, and testable code adhering to industry best practices. Conduct code reviews, enforce coding standards, and mentor junior developers. Ensure application performance, reliability, scalability, and security. Actively participate in Agile/Scrum ceremonies and contribute to team discussions and continuous improvement. Required Skills: Strong experience with .NET Core / ASP.NET Core (Web API, MVC). Proficiency in React.js, JavaScript/TypeScript, HTML5, and CSS3. Solid experience with Microsoft Azure services (e.g., App Services, Azure Functions, Key Vault, Azure DevOps). Hands-on experience with Entity Framework Core, LINQ, and SQL Server. Familiarity with Git, CI/CD pipelines, and modern DevOps practices. Strong understanding of software design patterns, SOLID principles, and clean code methodologies. Basic knowledge of containerization tools like Docker. Nice to Have: Experience with Azure Kubernetes Service (AKS) or Azure Logic Apps. Familiarity with unit testing frameworks (xUnit, NUnit). Exposure to Agile/Scrum methodologies and tools like Jira or Azure Boards.

We are seeking a highly experienced and self-driven Senior Data Engineer to design, build, and optimize modern data pipelines and infrastructure. This role requires deep expertise in Snowflake, DBT, Python, and cloud data ecosystems. You will play a critical role in enabling data-driven decision-making across the organization by ensuring the availability, quality, and integrity of data. Key Responsibilities: Design and implement robust, scalable, and efficient data pipelines using ETL/ELT frameworks. Develop and manage data models and data warehouse architecture within Snowflake . Create and maintain DBT models for transformation, lineage tracking, and documentation. Write modular, reusable, and optimized Python scripts for data ingestion, transformation, and automation. Collaborate closely with data analysts, data scientists, and business teams to gather and fulfill data requirements. Ensure data integrity, consistency, and governance across all stages of the data lifecycle. Monitor pipeline performance and implement optimization strategies for queries and storage. Follow best practices for data engineering including version control (Git), testing, and CI/CD integration. Required Skills and Qualifications: 8+ years of experience in Data Engineering or related roles. Deep expertise in Snowflake : schema design, performance tuning, security, and access controls. Proficiency in Python , particularly for scripting, data transformation, and workflow automation. Strong understanding of data modeling techniques (e.g., star/snowflake schema, normalization). Proven experience with DBT for building modular, tested, and documented data pipelines. Familiarity with ETL/ELT tools and orchestration platforms like Apache Airflow or Prefect . Advanced SQL skills with experience handling large and complex data sets. Exposure to cloud platforms such as AWS , Azure , or GCP and their data services. Preferred Qualifications: Experience implementing data quality checks and governance frameworks. Understanding of modern data stack and CI/CD pipelines for data workflows. Contributions to data engineering best practices, open-source projects, or thought leadership.

We are seeking a highly skilled and innovative Data Scientist with a strong focus on Generative AI, NLP, and Large Language Models (LLMs). The ideal candidate will design, develop, and deploy end-to-end data science solutions that harness the power of advanced ML, deep learning, and Gen AI technologies to drive real-world impact. Key Responsibilities: Design and implement scalable data science solutions using Generative AI, NLP, and ML techniques. Develop, fine-tune, and evaluate Large Language Models (LLMs) such as GPT, BERT, and similar architectures. Analyze structured and unstructured data to generate actionable insights for business problems. Collaborate cross-functionally with engineering, product, and business teams to integrate AI models into production systems. Conduct cutting-edge research in Gen AI and deep learning; evaluate and apply recent advancements. Build and maintain robust pipelines for model training, evaluation, monitoring, and deployment. Communicate complex technical findings clearly to technical and non-technical stakeholders. Required Skills & Qualifications: Strong hands-on experience with Generative AI, LLMs (e.g., OpenAI, Hugging Face Transformers, etc.). Proven expertise in core NLP tasks: text classification, summarization, named entity recognition, sentiment analysis, etc. Proficient in Python and related libraries: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch. Experience developing, validating, and deploying ML models in production environments. Familiarity with vector databases (e.g., FAISS, Pinecone), embeddings, and semantic search. Exposure to cloud platforms like AWS, Azure, or GCP, and MLOps tools/workflows (CI/CD, model monitoring, etc.). Preferred Qualifications: Experience in prompt engineering, Retrieval-Augmented Generation (RAG), or fine-tuning/customizing LLMs. Contributions to AI research papers, open-source projects, or participation in ML competitions (e.g., Kaggle) is a plus. Knowledge of responsible AI practices, model interpretability, and bias mitigation techniques.

The Functional Consultant in Supply Planning is tasked with delivering comprehensive Supply Chain Planning Consulting engagements across various industries and geographies. This role focuses on developing and implementing strategies that enhance customer satisfaction and ensure the successful delivery of supply chain technology projects. Key Responsibilities: Lead teams across multiple projects in different locations, ensuring timely delivery and exceeding customer expectations. Assist clients in selecting, implementing, and adopting supply chain solutions. Provide functional and business process expertise on projects involving consultants, subcontractors, remote global resources, and client employees. Contribute to the creation and execution of account strategies and plans, leveraging team strengths. Manage cross-functional programs/projects involving multiple client stakeholders and vendors. Advise clients on industry best practices and process benchmarks. Provide leadership and guidance to consultants, ensuring high standards, project discipline, and accountability. Create reusable assets to accelerate solution delivery and contribute to building the Supply Chain practice. Serve as a solution architect with expertise in supply chain planning technology and domain. Educational Qualifications: A strong educational background from reputed engineering and management schools is required. Required Skills: Experience with 3 to 7 years in the supply chain planning domain, including hands-on technology exposure. Demonstrated experience with at least two implementations using one or more leading supply chain software tools such as JDA Blue Yonder, SAP APO, SAP IBP, Kinaxis, O9, Anaplan, E2Open, Arkieva, Oracle ASCP, OM Partners, or custom-built applications featuring advanced algorithms (AI/ML). Proficient understanding of supply chain planning processes including demand planning, supply planning, S&OP, and inventory optimization. Ability to work with various supply chain technologies; training will be provided as needed. Strong analytical capabilities with the ability to handle data-intensive scenarios and analyze large amounts of data; familiarity with R, Python, and SQL is preferred. Excellent communication and interpersonal skills, with the capacity to manage and deliver to customer expectations under pressure. Meticulous planning skills, attention to detail, and the ability to multitask. Strong leadership skills, ability to influence, and drive projects in a matrix management environment focusing on collaboration and results orientation.

Required Skills and Qualifications: Proven experience working with BI Tools (strong background with similar BI tools like Power BI, Tableau, etc., but Bold BI preferred ). Strong experience connecting to and working with SQL Server, MySQL, PostgreSQL, Oracle, MongoDB, and REST APIs. Python programming skills for developing custom visualizations and data processing tasks. Ability to write and optimize SQL queries for data extraction and transformation. Familiarity with cloud environments (AWS, Azure, GCP) for application & database hosting and integrations. Understanding of ETL processes and data integration strategies. Familiarity with data visualization best practices (chart selection, UX/UI design for dashboards). Strong problem-solving and analytical skills. Ability to work independently as well as part of a team.

Job Summary: We are looking for a Quality Engineer Data to ensure the reliability, accuracy, and performance of data pipelines and AI/ML models in our SmartFM platform. This role is essential for delivering trustworthy data and actionable insights to optimize smart building operations. Roles and Responsibilities: Design and implement QA strategies for data pipelines and ML models. Test data ingestion and streaming systems (StreamSets, Kafka) for accuracy and completeness. Validate data stored in MongoDB, ensuring schema and data integrity. Collaborate with Data Engineers to proactively address data quality issues. Work with Data Scientists to test and validate ML/DL/LLM/Agentic Workflow models. Automate data validation and model testing using tools like Pytest, Great Expectations, Deepchecks. Monitor production pipelines for data drift, model degradation, and performance issues. Participate in code reviews and create detailed QA documentation. Continuously improve QA processes based on industry best practices. Required Technical Skills: 5 - 10 years of experience in QA, with focus on Data and ML testing. Proficient in SQL for complex data validation. Hands-on with StreamSets, Kafka, and MongoDB. Python scripting for test automation. Familiarity with ML model testing, metrics, and bias detection. Experience with cloud platforms (Azure, AWS, or GCP). Understanding of Node.js and React-based systems is a plus. Experience with QA tools like Pytest, Great Expectations, Deepchecks. Additional Qualifications: Excellent communication and documentation skills. Strong analytical mindset and attention to detail. Experience working cross-functionally with Engineers, Scientists, and Product teams. Passion for learning new technologies and QA frameworks. Domain knowledge in facility management, IoT, or building automation is a plus.

Job description Required Skills and Qualifications: Proven experience working with BI Tools (strong background with similar BI tools like Power BI, Tableau, etc., but Bold BI preferred ). Strong experience connecting to and working with SQL Server, MySQL, PostgreSQL, Oracle, MongoDB, and REST APIs. Python programming skills for developing custom visualizations and data processing tasks. Ability to write and optimize SQL queries for data extraction and transformation. Familiarity with cloud environments (AWS, Azure, GCP) for application & database hosting and integrations. Understanding of ETL processes and data integration strategies. Familiarity with data visualization best practices (chart selection, UX/UI design for dashboards). Strong problem-solving and analytical skills. Ability to work independently as well as part of a team. Role: Software Development - Other Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Electronics/Telecommunication, Information Technology, Computers Key Skills Skills highlighted with are preferred keyskills Power BI Bold BI Data Visualization Azure PostgreSQL Tableau SQL REST API MySQL MongoDB Oracle ETL AWS Python

Job Description for Data Scientist (Analytics): Work Experience: 12+ years Location: Hyderabad Requirements: Must have supply chain experience with ML, especially in Demand Planning and Retail Merchandise Financial Planning Strong expertise in Time Series Forecasting using: Statistical models: ARIMA, Exponential Smoothing, Prophet ML models: XGBoost, LightGBM, etc. Minimum 1 year of hands-on o9 platform experience Proficient in Python/R and relevant data science libraries Experience in building end-to-end ML pipelines for forecasting Strong understanding of demand drivers and retail planning cycles Excellent communication and cross-functional collaboration skills Experience required: 6+ years for Architects