Role Overview We are looking for a seasoned Java Developer with 8.5 to 13 years of experience to join our dynamic team. The ideal candidate will have deep expertise in Core Java, Hibernate, Web Services, and SQL, and will be instrumental in designing and building scalable backend systems that drive our products and services. Key Responsibilities Design, develop, and maintain scalable Java-based applications and APIs. Implement robust backend logic using Core Java and ORM via Hibernate. Build and consume RESTful and SOAP web services to support system integration. Write and optimize complex SQL queries; ensure data integrity and performance. Participate in code reviews, performance tuning, and architectural discussions. Work closely with QA, DevOps, and front-end teams for seamless delivery. Mentor junior team members and contribute to best coding practices. Support deployment, troubleshoot production issues, and implement fixes. Required Skills 8.5- 13 years of strong development experience in : Core Java : multithreading, collections, exception handling, and OOP. Hibernate/JPA : ORM mapping, lazy/eager loading, and tuning. Web Services : RESTful API development (Spring MVC/Jersey) and SOAP (optional). SQL : complex joins, stored procedures, performance tuning in RDBMS (e.g., MySQL, PostgreSQL, Oracle). Familiarity with Spring ecosystem (Spring Boot, Spring Data is a plus). Hands-on experience with version control (Git), build tools (Maven/Gradle), and CI/CD (e.g., Jenkins). Strong understanding of software design patterns, data structures, and algorithms. Effective communication and collaboration skills. (ref:hirist.tech) Show more Show less

About The Role We are on a mission to build cutting-edge, scalable Generative AI (GenAI) solutions that deliver real-world impact. If you've worked on GenAI projects, deployed APIs, debugged endpoints, and enjoy working at the intersection of Python, cloud-native infrastructure, and modern front-end extensionsthis is your opportunity to make a mark. You will join a dynamic and fast-paced team where youll help build, deploy, and maintain GenAI-based systems at scale using tools such as Python, Docker, Kubernetes, and TypeScript-based extensions. Key Responsibilities Design, develop, and deploy scalable Python APIs that serve GenAI models and related functionalities. Manage containerized applications with Docker and deploy them on Kubernetes clusters for high availability and performance. Troubleshoot and debug complex issues, including API endpoint failures, latency problems, and deployment inconsistencies. Develop interactive TypeScript extensions, integrating them with backend systems and GenAI services. Collaborate with data scientists and ML engineers to integrate LLM (Large Language Model) capabilities into production systems. Monitor application health, ensure proper scaling, and implement DevOps best practices. Work cross-functionally with teams across engineering, product, and AI to ensure timely delivery and optimal Qualifications : 5+ years of experience working on GenAI projects or relevant exposure to generative model-based applications. Should have worked min of 2 projects on Gen AI Strong expertise in Python, with a deep understanding of building APIs (using FastAPI, Flask, or similar frameworks). Hands-on experience with Docker for containerization and managing production-grade deployments on Kubernetes. Proven ability to deploy, scale, and monitor APIs in cloud-native environments. Proficiency in TypeScript, with experience building extensions or interactive front-end modules. Familiarity with LLM architectures (e.g., GPT, LLaMA, Claude) and experience working with their APIs or open-source implementations. Strong debugging skills and the ability to investigate and resolve issues across the stack. Nice To Have Experience with API gateways, observability tools (Prometheus, Grafana), or CI/CD pipelines. Familiarity with vector databases or GenAI toolkits like LangChain, RAG frameworks, or OpenAI/Anthropic APIs. Exposure to MLOps practices and model deployment Join Us : Work on frontier AI technology with real-world applications. Join a collaborative and high-performing team passionate about GenAI. Opportunities for growth and ownership in a fast-evolving tech landscape. (ref:hirist.tech) Show more Show less

As a Gen AI Engineer , you will be responsible for developing, optimizing, and deploying AI models and solutions with a focus on Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG) models, and Large Language Models (LLMs). You will collaborate closely with cross-functional teams to design and implement scalable AI solutions on various cloud platforms. Key Responsibilities AI Model Development : Design, train, and fine-tune generative AI models, LLMs, and RAG models to address specific business use cases. Prompt Engineering : Develop, test, and optimize prompts to enhance the performance and accuracy of AI models in generating desired outputs. Cloud Expertise : Deploy and manage AI models on cloud platforms (e.g., AWS, Azure, GCP) ensuring scalability, security, and cost-efficiency. Data Management : Collaborate with data scientists and engineers to ensure high-quality data ingestion, preprocessing, and feature engineering. Model Evaluation & Tuning : Continuously monitor and evaluate model performance, making adjustments to improve accuracy and efficiency. Innovation : Stay up-to-date with the latest advancements in AI, LLMs, and cloud technologies, and incorporate new techniques and tools into the development process. Collaboration : Work closely with product managers, software engineers, and other stakeholders to integrate AI solutions into products and services. Documentation : Maintain comprehensive documentation of models, algorithms, and development processes to ensure transparency and : Education : Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. Experience : Proven experience in developing and deploying AI models, particularly in Generative AI, LLMs, and RAG models. Hands-on experience with cloud platforms like AWS, Azure, or GCP for AI/ML workloads. Strong background in Prompt Engineering and AI model optimization techniques. Technical Skills Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. Experience with NLP, machine learning algorithms, and data preprocessing. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Familiarity with MLOps practices and tools for continuous integration and deployment. Soft Skills Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and methodologies (ref:hirist.tech) Show more Show less

Job Description Key Responsibilities : Design, develop, and execute performance test plans, scripts, and scenarios using tools like JMeter, LoadRunner, Gatling Analyze test results and identify system bottlenecks or issues impacting performance. Collaborate with development, DevOps, and infrastructure teams to resolve performance issues. Establish performance benchmarks and baseline metrics. Conduct stress, load, soak, spike, and endurance testing across APIs, web, and backend systems. Automate performance tests and integrate with CI/CD pipelines. Prepare detailed performance reports and recommendations for improvement. Provide input into capacity planning and system architecture based on test Skills & Qualifications : Bachelors degree in Computer Science, Engineering, or a related field. 3- 7 years of hands-on experience in performance testing and engineering. Proficient in tools like JMeter, LoadRunner, or Gatling. Strong scripting skills in JavaScript, Python, Groovy, or Shell. Good understanding of system architecture, databases, cloud platforms (AWS/Azure), and web technologies. Experience in monitoring tools (e.g., Grafana, Dynatrace, AppDynamics, New Relic). Familiarity with CI/CD pipelines using Jenkins, Git, and Qualifications : Certifications in performance testing or related QA domains. Experience with APM tools and observability. Exposure to agile methodologies and working in fast-paced Skills : Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Detail-oriented with a proactive approach to identifying issues. (ref:hirist.tech)

Job Summary We are seeking a highly skilled Senior Automation & Embedded Test Engineer with expertise in Python development, automation testing, and IoT/embedded systems. The ideal candidate will have a strong background in designing, developing, and executing automated test frameworks to ensure high-quality software and hardware integration. Key Responsibilities Develop and execute automation test scripts using Python for software and embedded systems. Design, implement, and maintain automation frameworks to streamline testing processes. Conduct functional, performance, and regression testing for embedded systems and IoT applications. Collaborate with development teams to identify and resolve software and hardware issues. Ensure compliance with industry standards and best practices in embedded testing. Work with hardware and firmware teams to validate IoT device functionality. Analyze test results and provide feedback to development teams for continuous Skills & Qualifications : 4+ years of experience in automation testing and Python development. Strong understanding of embedded systems and IoT testing methodologies. Hands-on experience with test automation frameworks (e.g., Selenium, Robot Framework). Knowledge of communication protocols (e.g., MQTT, BLE, Zigbee) for IoT applications. Experience with version control systems (e.g., Git) and CI/CD pipelines. Strong problem-solving and debugging skills. Ability to work in a fast-paced, collaborative environment (ref:hirist.tech)

Job Description We are looking for experienced and highly skilled Senior Java Developers to join our team in Hyderabad. This is an excellent opportunity for passionate professionals who want to be part of a dynamic and fast-paced environment, contributing to enterprise-grade applications and system Responsibilities : Design, develop, and maintain scalable Java-based applications. Write clean, maintainable, and efficient code using Core Java and related technologies. Work on integration and development of RESTful and SOAP-based Webservices. Utilize Hibernate ORM for data persistence and performance optimization. Write complex SQL queries, stored procedures, and manage relational databases. Collaborate with cross-functional teams to understand requirements and deliver solutions. Participate in code reviews, testing, and debugging to ensure product quality and Skillset Required : Strong hands-on experience in Core Java Proficient in Hibernate and ORM frameworks Solid experience in building and consuming Webservices (REST/SOAP) Strong command over SQL and working with relational databases Good understanding of software development life cycle (SDLC) (ref:hirist.tech)

Job Summary We are seeking a highly skilled and proactive Team Lead Observability & RCA to build and lead a team focused on monitoring, alerting, logging, tracing (MELT), and deep Root Cause Analysis (RCA). The ideal consultant will have hands-on expertise in tools like Datadog, a strong understanding of distributed systems, and the ability to collaborate with development, support, and DevOps teams to drive actionable resolutions from observed issues. Key Responsibilities Build and manage observability pipelines to ingest and correlate Metrics, Events, Logs, and Traces (MELT)from multiple systems across web, mobile, backend, and infra. Lead Datadog implementation and optimization, including APM, RUM, dashboards, synthetics, alerting, and anomaly detection features. Act as the primary point of contact for triaging and analyzing issues reported via observability tools. Perform end-to-end Root Cause Analysis (RCA) on recurring incidents and anomalies, and drive closure by working closely with development, QA, infra, and support teams. Define and enforce observability best practices, including tagging strategy, SLO/SLA setup, error budget tracking, and log hygiene. Build and maintain dashboards, monitors, and custom views for different stakeholders including Engineering, Support, and Leadership. Drive incident review meetings, document learnings, and contribute to postmortems and corrective action plans. Continuously evaluate the health of applications and services, and suggest architectural or code-level improvements. Collaborate with InfoSec and Compliance teams to ensure telemetry data is protected, compliant, and governed. Mentor junior engineers on observability frameworks, diagnostic techniques, and tooling. Required Skills & Experience 6 to 10 years of total experience with 24 years in observability, SRE, or monitoring-focused roles. Strong hands-on experience with Datadog (APM, RUM, Infrastructure Monitoring, Synthetics, Dashboards, Alerts, etc.) Solid understanding of MELT concepts and how to structure telemetry for modern applications. Proficient in Root Cause Analysis (RCA), incident lifecycle management, and blameless postmortems. Experience working with microservices, cloud platforms (AWS/GCP/Azure), and containerized environments (Docker/Kubernetes). Strong skills in scripting (Python/Bash) and tools like Fluentd, Logstash, or OpenTelemetry. Familiarity with CI/CD pipelines, version control (Git), and infrastructure-as-code is a plus. Ability to communicate clearly with cross-functional stakeholders, translate technical findings, and influence resolution paths. Strong sense of ownership, analytical thinking, and process improvement mindset. Good To Have Experience integrating observability tools with ServiceNow, PagerDuty, or Slack for automated alerting and incident response. Knowledge of ITIL practices, service health modeling, and business KPIs mapping. Certification in Datadog, AWS Cloud Practitioner, or SRE Foundations. Soft Skills Strong leadership and team mentoring abilities. Excellent analytical and problem-solving skills. Effective verbal and written communication. Ability to work independently and lead in a fast-paced, production-critical environment (ref:hirist.tech)

We are looking for a Google Cloud Professional with a strong technical background in Google Cloud Platform (GCP) services. The ideal candidate will hold multiple Google Cloud certifications and have hands-on experience in delivering GCP-based projects across various domains. Key Responsibilities Design, implement, and manage scalable, secure, and cost-efficient solutions on Google Cloud Platform. Optimize cloud costs through FinOps practices, including budgeting, forecasting, and cost allocation. Develop and maintain data pipelines and analytics solutions using BigQuery for large-scale data processing. Implement Cloud DevSecOps practices to ensure secure, automated, and efficient CI/CD pipelines. Leverage Vertex AI for building, deploying, and managing machine learning models. Collaborate with cross-functional teams to architect and deploy GCP solutions tailored to business needs. Monitor, troubleshoot, and enhance GCP infrastructure to ensure high availability and performance. Stay updated on GCP services and best practices to drive continuous improvement. Required Qualifications Google Cloud Certifications: Minimum of two Google Cloud certifications (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer, etc.). Experience: Demonstrated hands-on experience working on Google Cloud projects, including: FinOps: Cost optimization and cloud financial management. BigQuery: Data warehousing and analytics. Cloud DevSecOps: Secure development and operations pipelines. Vertex AI: Machine learning model development and deployment. Other GCP services such as Cloud Storage, Cloud Functions, Pub/Sub, or Cloud Run. Strong understanding of cloud architecture, security, and networking principles. Proficiency in scripting or programming languages (e.g., Python, Go, or Java) for automation and integration. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Preferred Qualifications Additional Google Cloud certifications or other relevant cloud certifications (e.g., AWS, Azure). Experience with hybrid or multi-cloud environments. Familiarity with infrastructure-as-code tools (e.g., Terraform, Deployment Manager). Knowledge of Kubernetes and Google Kubernetes Engine (GKE) for containerized workloads. (ref:hirist.tech)

Job Title : Webflow Developer Location : Gurgaon Employment Type : Full-time Experience : 3+ years (preferred) Role Description We are seeking a talented and detail-oriented developer who excels in transforming Figma designs into fully responsive, interactive, and visually stunning websites using Webflow. This role will be instrumental in bringing our marketing designs to life, ensuring brand consistency, superior user experience, and alignment with our strategic marketing You'll Do : Webflow Mastery : Act as our in-house expert, leading significant enhancements to the architecture and scalability of our corporate site. Must be Webflow certified and familiar with Finsweet Client-First to streamline our web development process. Design and Development : Take charge of the structure and design of responsive web pages and landing pages, ensuring a blend of functionality and aesthetics. Programming and Maintenance : Utilize HTML5, CSS3, JavaScript, and other languages to continually develop and refine user interfaces across devices. UX/UI Focus : Proactively recommend improvements in UX/UI, maintaining brand consistency and enhancing user interaction. SEO and Optimization : Apply deep knowledge of SEO principles in building and troubleshooting, optimizing websites for performance and compliance. Data-Driven Enhancements : Experience with A/B testing, ABM web personalization, and heatmapping tools like Hotjar is desirable, though not required. This will be instrumental in refining web strategies based on user interaction data. Maintain and update existing Webflow sites, ensuring continuous performance and design consistency Stay updated with the latest Webflow features, design trends, and web technologies to proactively recommend improvements and innovations What We're Looking For Minimum 3+ years in a front-end web development role, with proven expertise in Webflow (certification required) and familiarity with Finsweet Client-First approach. Technical Proficiency : Strong experience in HTML, CSS, Javascript, API integration, and node.js build tools. Proficiency with Google's ecosystem (GA4, Tag Manager, Ads). Design Tools : Familiarity with Figma, Sketch, Adobe XD, etc., and a solid understanding of design and layout principles. Skills & Qualifications Proven experience translating Figma designs into high-quality Webflow websites Strong proficiency in Webflow, including CMS integration, custom interactions, and animations Solid understanding of HTML, CSS, and JavaScript fundamentals Knowledge of responsive design principles and cross-browser compatibility Familiarity with SEO best practices and performance optimization Exceptional attention to detail with a commitment to delivering high-quality work Ability to manage multiple projects simultaneously, prioritize effectively, and meet deadlines Excellent communication skills, capable of clearly articulating technical concepts to non-technical team members Preferred Experience Portfolio showcasing past work specifically with Figma-to-Webflow projects Experience in working remotely, with proven self-management skills Basic understanding of graphic design and UX principles (ref:hirist.tech)

You should have 6-10+ years of experience in AI/ML development, including at least 3 years of hands-on experience in Generative AI, RAG frameworks, and Agentic AI systems. As a Generative AI Engineer, you will be responsible for designing, developing, and optimizing RAG pipelines using frameworks such as LangChain, LlamaIndex, or custom-built stacks. You will also implement Agentic AI architectures involving task-based agents, stateful memory, planning-execution workflows, and tool augmentation. Additionally, you will perform model fine-tuning, embedding generation, and evaluation of LLM outputs while incorporating human and automated feedback loops. Building and enforcing guardrails to ensure safe, compliant, and robust model behavior will be a crucial part of your role, including prompt validation, output moderation, and access controls. Collaboration with cross-functional teams to deploy solutions in cloud-native environments such as Azure OpenAI, AWS Bedrock, or Google Vertex AI will also be expected. Furthermore, you will contribute to system observability via dashboards and logging, as well as support post-deployment model monitoring and optimization. To excel in this role, you must have proven production experience with RAG frameworks like LangChain, LlamaIndex, or custom-built solutions. A solid understanding of Agentic AI design patterns, strong expertise in LLM fine-tuning, vector embeddings, evaluation strategies, and feedback integration are essential. Experience with implementing AI guardrails, proficiency in Python, LLM APIs (OpenAI, Anthropic, Cohere, etc.), and vector database integration are also required. Familiarity with CI/CD pipelines, API integrations, and cloud-native deployment patterns is a plus. Preferred qualifications include experience working on AI projects in regulated environments (Banking domain), hands-on experience with cloud AI platforms like Azure OpenAI, AWS Bedrock, or Google Vertex AI, knowledge of prompt engineering, RLHF, and LLM observability frameworks, as well as experience building or leveraging internal LLM evaluation harnesses, agent orchestration layers, or compliance dashboards.,

Job Description Design, develop, and implement AI/ML models and algorithms. Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. Write clean, efficient, and well-documented code. Collaborate with data engineers to ensure data quality and availability for model training and evaluation. Work closely with senior team members to understand project requirements and contribute to technical solutions. Troubleshoot and debug AI/ML models and applications. Stay up-to-date with the latest advancements in AI/ML. Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. Develop and deploy AI solutions on Google Cloud Platform (GCP). Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy. Utilize Vertex AI for model training, deployment, and management. Integrate and leverage Google Gemini for specific AI : Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. 7+ years of experience in developing and implementing AI/ML models. Strong programming skills in Python. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Good understanding of machine learning concepts and techniques. Ability to work independently and as part of a team. Strong problem-solving skills. Good communication skills. Experience with Google Cloud Platform (GCP) is preferred. Familiarity with Vertex AI is a plus. (ref:hirist.tech)

Job Title APM Engineer Dynatrace & Development (UK Shift) Location : Gurgaon Shift Timing : UK Shift Role Overview We are seeking a technically strong professional with a balanced background in application development and performance monitoring. This role demands a 60% focus on development tasks and 40% on support and monitoring activitiesparticularly using Dynatrace and other APM (Application Performance Monitoring) tools. The ideal candidate will bring a development-oriented mindset, strong scripting capabilities, and hands-on experience with Dynatrace administration and onboarding. If you are passionate about automation, performance optimization, and observability in complex enterprise environments, wed like to hear from you. Key Responsibilities Design and implement development solutions focused on improving application performance and system observability. Automate repetitive monitoring, alerting, and diagnostic tasks using scripting and DevOps tools. Onboard complex applications to Dynatrace and manage full lifecycle monitoring. Administer, configure, and troubleshoot Dynatrace in cloud and hybrid environments. Analyze performance data, identify bottlenecks, and drive performance tuning initiatives. Proactively monitor SaaS and cloud-based applications for health, availability, and performance. Collaborate with development, DevOps, and infrastructure teams to ensure end-to-end visibility and reliability. Establish and promote APM best practices across the organization. Required Skills & Experience 35 years of experience in a blended development and support role. 23 years of hands-on experience in Dynatrace administration and onboarding enterprise-scale applications. Strong development/scripting background (e.g., Python, Shell, PowerShell, or similar). Solid understanding of Dynatrace monitoring tools, integrations, and dashboards. Experience with performance data analysis and tuning of distributed systems. Familiarity with monitoring best practices in cloud or SaaS-based applications. Good problem-solving and troubleshooting skills in production environments. Nice To Have Exposure to other APM tools like AppDynamics, New Relic, or Datadog. Experience working in Agile/SRE/DevOps teams. Knowledge of CI/CD pipelines and automation tools. (ref:hirist.tech)

Experience Required 610+ years in AI/ML development, with 3+ years of hands-on experience in Generative AI, RAG frameworks, and Agentic AI systems. Job Summary We are seeking highly skilled Generative AI Engineers to join a dynamic team focused on building enterprise-grade, production-ready AI systems using RAG and Agentic AI paradigms. The ideal candidates will have hands-on experience developing and fine-tuning LLM-based applications, integrating feedback loops, and implementing safeguards in regulated or complex business environments. Key Responsibilities Design, develop, and optimize RAG pipelines using frameworks such as LangChain, LlamaIndex, or custom built stacks. Implement Agentic AI architectures involving task-based agents, stateful memory, planning-execution workflows, and tool augmentation. Perform model fine-tuning, embedding generation, and evaluation of LLM outputs; incorporate human and automated feedback loops. Build and enforce guardrails to ensure safe, compliant, and robust model behaviorincluding prompt validation, output moderation, and access controls. Collaborate with cross-functional teams to deploy solutions in cloud-native environments such as Azure OpenAI, AWS Bedrock, or Google Vertex AI. Contribute to system observability via dashboards and logging, and support post-deployment model monitoring and optimization. Required Qualifications Proven production experience with RAG frameworks like LangChain, LlamaIndex, or custom-built solutions Solid understanding of Agentic AI design patterns: task agents, memory/state tracking, and orchestration logic Strong expertise in LLM fine-tuning, vector embeddings, evaluation strategies, and feedback integration Experience with implementing AI guardrails (e.g., moderation, filtering, prompt validation) Proficiency in Python, LLM APIs (OpenAI, Anthropic, Cohere, etc.), and vector database integration Familiarity with CI/CD pipelines, API integrations, and cloud-native deployment patterns Preferred Qualifications Experience working on AI projects in regulated environments (Banking domain) Hands-on experience with cloud AI platforms : Azure OpenAI, AWS Bedrock, or Google Vertex AI Knowledge of prompt engineering, RLHF, and LLM observability frameworks Experience building or leveraging internal LLM evaluation harnesses, agent orchestration layers, or compliance dashboards (ref:hirist.tech)

Job Description Strong proficiency in Python and at least one Python web framework (e.g., Django, Flask) Programming Languages : Proficiency in Python Expertise in SQL and database management (PostgreSQL, MySQL) Knowledge of NoSQL databases, particularly Cassandra Familiarity with message brokers, especially Apache Kafka Proficiency in Linux operating system Experience with containerization using Docker Understanding of container orchestration with Kubernetes Version control with Git Software Development : Experience with software development methodologies and best practices. Data Structures and Algorithms : Strong understanding and practical application5 Object-Oriented Design (OOD) : Ability to apply OOD principles for flexible and modular software. Database Management : Knowledge of SQL and experience with both relational and NoSQL databases. Version Control : Proficiency with Git and experience managing complex branching strategies Testing and Debugging : Expertise in software testing methodologies and debugging techniques. API Development : Experience in designing and implementing RESTful APIs DevOps Practices : Familiarity with CI/CD pipelines and cloud platforms (e.g., AWS, Azure) Experience with test-driven development and automated testing frameworks (e.g., Pytest) Experience with Spring Boot framework for Java applications and Java, JavaScript would be nice to have. (ref:hirist.tech)

About The Role We are looking for a Senior Data Scientist to lead the design and development of intelligent, data-driven systems that power talent discovery, candidate-job matching, and workforce insights. In this role, you'll build and deploy models that process unstructured data at scale, extract actionable insights, and deliver real-time recommendations to enhance decision-making across the talent lifecycle. If you're passionate about building smart systems that solve real-world problems in the intersection of data, people, and technology this is your calling. Key Responsibilities Build and optimize machine learning models for use cases like candidate-job matching, resume parsing, talent ranking, recommendation systems, and profile enrichment. Apply NLP techniques to extract and analyze insights from large volumes of unstructured data (resumes, job descriptions, interviews, etc.). Lead experimentation efforts including A/B testing, model comparisons, and business metric evaluation. Collaborate with product, engineering, and data teams to productionize ML pipelines and ensure model reliability at scale. Develop interpretable models and frameworks that deliver explainable AI (XAI) capabilities. Identify and evaluate data sources (internal & external) for enhancing model performance and domain coverage. Design and maintain systems to monitor model drift, retraining workflows, and feature performance in production. Must-Have Skills 5+ years of hands-on experience in data science or machine learning roles, ideally in search, recommendation, or NLP-focused systems. Strong proficiency in Python, including packages like scikit-learn, spaCy, transformers, pandas, NumPy, TensorFlow, or PyTorch. Experience with natural language processing (NLP), including named entity recognition, embeddings, text classification, and semantic search. Solid experience working with structured and unstructured data, and building scalable data pipelines. Strong command over SQL and experience with distributed data systems (e.g., Snowflake, BigQuery). Demonstrated experience taking models from experimentation to production, with clear metrics and monitoring in place. Excellent problem-solving and communication skills with the ability to work Skills : Knowledge of recommendation engines, graph-based models, or search ranking algorithms. Exposure to cloud platforms like AWS, Azure, or GCP, and MLOps workflows (CI/CD for models). Experience in talent tech, HR tech, or recruitment intelligence platforms is a strong plus. Familiarity with vector databases, embeddings, and semantic similarity search. (ref:hirist.tech)

We are seeking a skilled .NET Core Engineer with a background in constructing scalable, cloud-native applications on AWS. Your primary responsibilities will involve the design, development, and deployment of high-quality solutions within an Agile framework, incorporating engineering best practices. You will be tasked with crafting robust and efficient backend applications using .NET Core, C#, and EF Core. Experience with Docker and container deployment is essential, as is proficiency in monitoring/logging tools such as CloudWatch and Datadog. A solid understanding of Sql Server databases is also required. In this role, you will be expected to build and oversee cloud-native services and serverless applications on AWS, including but not limited to Lambda, S3, SQS, EC2, and ECS. Your duties will involve implementing secure and scalable RESTful APIs and microservices, integrating with cloud-based infrastructure and third-party APIs, and actively participating in Agile ceremonies. As a part of the team, you will engage in code reviews, create unit/integration tests, and contribute to the continuous enhancement of engineering practices. Collaboration with product owners, architects, QA, and DevOps is crucial to ensure successful end-to-end delivery. Applying DevOps and CI/CD principles in deployment workflows is also expected. Key Requirements: - Minimum 6 years of hands-on experience in software engineering with .NET Core (C#). - Proficiency in AWS services like Lambda, S3, SQS, EC2, and ECS. - Familiarity with REST APIs, microservices architecture, and event-driven systems. - Ability to write clean, testable, and maintainable code following SOLID principles and design patterns. - Knowledge of Agile/Scrum methodologies, Git, CI/CD pipelines, and infrastructure-as-code. Desired Skills: - Exposure to frontend frameworks, particularly React, would be beneficial. (ref:hirist.tech),

Job Summary We are seeking a skilled Production Support Engineer with hands-on experience in Guiding Care (care management platform) and .NET technologies. The role involves monitoring, maintaining, and resolving issues in a healthcare environment to ensure the seamless functioning of production systems, especially those integrated with Guiding Care and developed using .NET. Key Responsibilities Provide production support for applications built on the .NET framework integrated with the Guiding Care platform. Work closely with care management teams to support critical member-facing features, care plan modules, and clinical workflows. Support batch jobs, file transfers, and interface integrations (e.g., HL7, EDI) with downstream systems. Analyse recurring issues and implement root cause fixes and preventative measures. Maintain documentation related to incident management, known errors, and system configurations. Participate in on-call rotation and ensure 24/7 uptime for mission-critical Skills : 6 years of experience in .NET application support and development (.NET Core, C#, ASP.NET, Web API). Strong exposure to Guiding Care or other care management systems in a healthcare domain. Solid understanding of SQL Server, stored procedures, and database performance tuning. Familiarity with production support tools (ServiceNow, Splunk, Dynatrace, AppDynamics, etc.). Ability to debug application logs, identify integration issues, and suggest fixes quickly. (ref:hirist.tech)