About the Company Our extensive expertise in technology consulting and software development, we consistently deliver innovative and advanced solutions that empower businesses to thrive in today's rapidly evolving digital landscape. Our unwavering commitment to staying ahead of the technology curve ensures that our clients receive top-notch, future-proof solutions that drive growth and success, helping them stay ahead of the competition. Partner with RADcube and experience the transformative power of cutting-edge software solutions tailored to your unique business needs. About the Role Role: Automation Test Engineer Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Responsibilities Designing and implementing tests for API endpoints to ensure functionality, performance, and security. Collaborating with development teams to understand API specifications and integrate testing into the development process. Qualifications Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field from a recognized Indian university. Required Skills Proficiency in programming languages such as Java, Python, C#, or JavaScript. Strong knowledge of automated testing frameworks like Selenium, Appium, TestNG, JUnit, or Cucumber. Experience with CI/CD tools such as Jenkins, GitLab CI, or Circle CI. Familiarity with version control systems like Git. Understanding of RESTful APIs and experience with API testing tools like Postman or SoapUI. Knowledge of performance testing tools like JMeter or LoadRunner. Proven experience in developing and executing automated test scripts. Experience in both frontend and backend testing. Hands-on experience with cloud environments such as AWS, Azure, or Google Cloud. Background in testing web applications, mobile applications, and desktop applications. Understanding of software development life cycle (SDLC) and software testing life cycle (STLC). Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Attention to detail and a commitment to quality. Ability to work in an agile development environment. Preferred Skills ISTQB Certified Tester. Certified Agile Tester (CAT). Certification in relevant automated testing tools (e.g., Selenium Certification). Knowledge of containerization tools like Docker and orchestration tools like Kubernetes. Familiarity with database systems such as SQL, NoSQL, or PostgreSQL. Ability to create and maintain test documentation, including test plans, test cases, and test scripts. Experience with behavior-driven development (BDD) or test-driven development (TDD) methodologies. Pay range and compensation package Pay roll company: RAdcube-Nlogix Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices. ``` Show more Show less
About the Company RADcube – A Stlogics Company is dedicated to innovation in AI & Data. Our mission is to leverage cutting-edge technology to create impactful solutions that drive business success. We foster a collaborative and inclusive culture where creativity and teamwork thrive. About the Role We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science. 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes. Proven work with NLP, CNNs, LLMs, and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Required Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices. We encourage applications from individuals of all backgrounds and experiences.
About the Company RADcube – A Stlogics Company is dedicated to innovation in AI & Data. Our mission is to leverage cutting-edge technology to create impactful solutions that drive business success. We foster a collaborative and inclusive culture where creativity and teamwork thrive. About the Role We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Work Location : Hyderabad (hi-tech City). Shift Timings :EST Time Zone Experience : Min 5+yrs Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science. 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes. Proven work with NLP, CNNs, LLMs, and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Required Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices. We encourage applications from individuals of all backgrounds and experiences.
About RADcube LLC RADcube LLC is heavily investing in AI and technology incubation , driving innovation across multiple industries. We are looking for a highly skilled Enterprise Architect with 8-12 years of experience to lead AI-driven full-stack development initiatives . This role is ideal for technology leaders who have strong hands-on expertise in modern architectures, cloud platforms, and AI-based enterprise solutions. Key Responsibilities:
Company Description RADcube, established in 2016, is a software solutions pioneer with a wealth of experience in the industry. Known for its innovative approach, RADcube consistently delivers cutting-edge solutions tailored to meet the evolving needs of clients. By combining technical expertise, domain knowledge, and customer-centric focus, RADcube creates unique software solutions that drive business success. Role Description This is a contract hybrid role for a Backend Developer (Python) at RADcube. The Backend Developer will be responsible for Back-End Web Development, Software Development, Object-Oriented Programming (OOP), and collaborating with Front-End Development teams. This position is based in Indianapolis, IN with the flexibility for some remote work. Qualifications Back-End Web Development and Software Development skills Proficiency in Object-Oriented Programming (OOP) Experience working with Front-End Development teams Strong programming skills Knowledge of Python programming language Ability to work independently and collaboratively Bachelor's degree in Computer Science or related field
We’re hiring for an Senior AI/ML Engineer role in India (Remote). This is a niche position focused on building next-generation AI/ML solutions within Clinical R&D and other strategic initiatives. Role Highlights: Title: Senior AI/ML Engineer Experience: 8+ years Location: Pan India | Remote Allowed Work Hours: 12 PM – 9 PM IST (with US overlap) Key Responsibilities: Build and deploy enterprise-scale ML models. Work on RAG pipelines, LangChain, and agentic AI workflows . Solve live coding/business problems in interviews and projects. Partner with cross-functional global teams to deliver AI-driven solutions. Required Skills: Hands-on Python development. Deep knowledge of ML algorithms, RAG, LangChain, LLMs, agentic concepts . Strong problem-solving and solutioning mindset. If you’re open to new opportunities and can join immediately, Please Apply or DM me directly.
As a candidate for this remote position, you will be responsible for the following key responsibilities: - Perform advanced statistical calculations and modeling in R. - Design and build interactive dashboards using R Shiny. - Demonstrate hands-on coding during interviews. - Collaborate with client teams to deliver actionable insights. In order to qualify for this role, you must possess the following required skills: - Proficiency in R programming and statistical modeling. - Hands-on experience with R Shiny dashboard development. - Strong data analysis and problem-solving ability. - Ability to communicate complex insights clearly.,
We’re Hiring R Developer Location: Pan India | Remote Allowed Experience: 5–6 Years Work Hours: 12 PM - 9:00 PM IST (with US overlap) for meetings with Onsite Leadership We are looking for an experienced R Developer to support advanced data analytics and visualization initiatives. This role is ideal for someone who thrives at the intersection of statistical modeling and interactive dashboards . What You’ll Do Perform advanced statistical calculations and modeling in R Design and build interactive dashboards using R Shiny Work hands-on in coding exercises and client discussions Partner with client teams to deliver actionable insights What We’re Looking For Strong R programming expertise with proven statistical modeling experience Hands-on R Shiny dashboard development Solid background in data analysis and problem solving Ability to communicate complex insights clearly If you’re open to new opportunities and can join immediately, Please Apply or DM me directly.
This is a remote position. Key Responsibilities: Develop, deploy, and optimize ML models for enterprise use cases. Work with RAG (Retrieval-Augmented Generation) , LangChain , and agentic AI workflows. Solve live business problems during interviews and projects using advanced ML concepts. Collaborate with cross-functional teams to deliver end-to-end AI/ML solutions. Requirements Required Skills: Strong expertise in Python (hands-on coding expected). Experience with ML algorithms, RAG, LangChain, and agentic concepts . Ability to think like a solution architect , not just a developer. Strong problem-solving skills and ability to work in a fast-paced environment.
This is a remote position. Key Responsibilities: Design and maintain data pipelines using AWS Glue, Python, and SQL . Handle large-scale ETL processes and optimize performance. Participate in hands-on coding challenges during client interviews. Collaborate with architects to design scalable and secure cloud data solutions. Requirements Required Skills: Strong hands-on experience with AWS services (Glue, S3, Lambda) . Proficiency in Python and SQL for data manipulation. Strong ETL development and data pipeline optimization expertise. Ability to work independently and provide solution-oriented inputs.
R Developer Pan India | Remote allowed. Work Hours: 12 PM - 9:00 PM IST (with US overlap) for meetings with Onsite Leadership Job Summary: Developer role for the migration of statistical programming assets from SAS to R, supporting clinical trial data analysis and reporting. Suitable for professionals with solid experience in hands-on R and R Shiny development. Life sciences Biostatistics experience is good to have. Key Responsibilities: Translate and optimize SAS code into efficient R scripts. Develop and maintain R Shiny applications for data visualization and reporting. Perform statistical analyses for clinical trial data using R. Provide technical guidance to junior team members. Ensure compliance with regulatory standards and documentation best practices. Required Qualifications: Proficient in R and R Shiny, with demonstrated project experience. Good understanding of SAS and experience with SAS-to-R migration. Strong problem-solving and teamwork skills. Familiarity with CDISC standards (SDTM, ADaM) is a plus. Senior Developer and Architect level role with strong solutioning skill set for backend - leveraging Python ( Flask API) and should have strong SQL knowledge. Should understand the modular and microservice based architecture, framework to capture the user activities login / log out and other audit related activities. Should be a good team lead to understand the requirement break them for technical implementation and work with team members to drive the delivery. Should have good knowledge of documentation and processes across SDLC phases. Technical Desing, Unit Testing, Code management tool Git/Bitbucket, deployment procedures etc Good understanding of AWS services for Python and application hosting. React and Life sciences experience will be added advantage
This is a remote position. Key Responsibilities: Design and develop full-stack applications using Java + React . Work across frontend and backend with equal expertise. Solve live scenario coding challenges during interviews. Collaborate with global teams in hybrid agile environments. Requirements Required Skills: Proficiency in Java (backend) and React (frontend). Strong system design and problem-solving ability. Hands-on coding and debugging expertise. Strong collaboration and communication skills.
Data Architect Key Responsibilities Design architectures for modern ecosystems (Data Lakes, Mesh, Fabric) which drives the long-term strategy for LRL Data. Embed pharma-specific standards (CDISC, FHIR, HL7, Allotrope, etc.) into designs. Drive governance, lineage, and compliance via MDM and quality frameworks. Influence leadership and stakeholders on data strategy and best practices. Lead large-scale data transformation, ETL, and pipeline design. Architect and maintain enterprise data models (relational, dimensional, big data). Partner with solution architects, business SMEs, and engineering teams to design conceptual, logical, and physical models that align with pharma standards and governance. A major focus will be building data products and pipelines that power critical decisions across Clinical domains. Required Expertise 8+ years in large-scale data transformation and architecture. 5+ years in data modelling across relational, dimensional, and big data. Strong knowledge of pharma data (Clinical, Regulatory, CMC). Experience with cloud platforms (AWS, Azure, GCP) and tools (Erwin, ER/Studio, Oracle, Redshift, PostgreSQL) and other Data Platforms - Snowflake, Databricks etc. Strong grounding in Data Governance, MDM, and compliance frameworks. Proven ability to design secure, scalable, interoperable data solutions. Preferred Skills AI/ML integration for predictive analytics. Deep understanding of pharma data privacy, security, and regulatory compliance. Ability to bridge strategy and execution in complex organizations.
If you’re a hands-on engineer who lives and breathes Java + React , this is for you. We’re building scalable enterprise applications and looking for someone who can own both backend and frontend development with confidence. Position: Full Stack Developer (Java + React) Location: Remote – Pan India Experience: 8+ Years Work Hours: 12 PM – 9 PM IST (US overlap) Type: Full-time Key Responsibilities: Develop and maintain high-performance applications using Core Java , Spring Boot , and React . Build and consume RESTful APIs ensuring seamless integration. Work on AWS services (EC2, S3, Lambda, RDS, CloudWatch, IAM) for deployment and monitoring. Implement CI/CD using Docker, Jenkins, and Git . Collaborate closely with cross-functional teams in an Agile environment. Required Skills: 8+ years of experience with Java (Core Java, Spring Boot, JPA, REST APIs, Security) . 4+ years of hands-on React development (Hooks, Context API, Redux). Strong understanding of AWS Cloud , DevOps tools , and CI/CD practices . Experience with both SQL and NoSQL databases . Strong problem-solving and debugging skills. Nice to have TypeScript experience. Familiarity with microservices and serverless architecture. Exposure to Agile methodologies.
AI/ML Engineer Location: Remote - Pan India Work Hours: 12 PM – 9 PM IST (US overlap) Experience: 8+ Years (Minimum 7+ Years Hands-on in AI/ML) Job Description We are looking for a Senior AI/ML Engineer with strong hands-on coding experience in Python and deep understanding of ML algorithms and GenAI systems . This is an individual contributor role focused on building and deploying production-grade AI/ML pipelines , including RAG, LangChain, LangGraph, and Agentic AI workflows . This is a niche position focused on building next-generation AI/ML solutions within Clinical R&D and other strategic initiatives. Key Responsibilities Build, optimize, and deploy end-to-end ML and GenAI solutions for enterprise use. Develop RAG pipelines using LangChain, LangGraph, and vector databases (Pinecone, FAISS, ChromaDB). Write production-quality Python APIs and backend code (FastAPI, Flask). Design and implement ML models (XGBoost, CNN, LSTM, transformers). Integrate and fine-tune LLMs (GPT, Claude, Llama, Gemini). Work on chunking strategies, embeddings, vector search, reranking , and model evaluation. Deploy and scale applications using Docker, Kubernetes, CI/CD pipelines . Collaborate with global teams, participate in architecture, and design discussions . Required Skills & Experience 8+ years of total experience , with 7+ years in AI/ML engineering . Strong Python programming (without AI assistance). Proven hands-on experience in: LangChain / LangGraph Retrieval-Augmented Generation (RAG) Agentic AI / Multi-Agent systems LLMs (GPT-4, Claude, Llama, Gemini) Solid foundation in machine learning algorithms and math (bias-variance, XGBoost, multicollinearity, hypothesis testing). Experience deploying ML/LLM apps on AWS / Azure / GCP . Strong understanding of containerization (Docker) and CI/CD workflows . Ability to perform well in live coding and design interviews . Preferred Qualifications Experience with LangSmith, CrewAI, or AutoGen frameworks. Exposure to MLOps tools (MLflow, Kubeflow). AWS / GCP certification in AI or Machine Learning. Experience in scaling inference endpoints for LLMs.
Job Title: Enterprise Architect – Engineering Operations Lead 📍 Location: Hyderabad Key Responsibilities: Leadership & Delivery Operations Own day-to-day engineering operations: planning, sprint/release cadence, risk & dependency management, capacity, and transparent status. Translate strategy into quarterly roadmaps with milestones, budgets, and measurable outcomes; surface trade-offs early with options. Coach tech leads; partner with HR on hiring, onboarding, growth plans, and performance feedback. DevOps & SDLC Governance Define and enforce SDLC standards (branching, PR/code review, DoR/DoD, test strategy, peer reviews). Lead CI/CD and environments strategy; oversee release/change/incident/problem management (ITIL-aligned). Track quality gates (automated test coverage, escape rate, MTTR/MTBF, change failure rate) and drive continuous improvement. Establish engineering best practices for full-stack development, integration patterns, reliability, and scalability. Architecture & Diagrams (Apps / Integration / Infra / Data / Process) Design scalable enterprise solutions using cloud and microservices where appropriate. Produce and maintain clear diagrams (Visio/Lucid/draw.io): reference architectures, integration maps, infra topologies, data flows, and process swimlanes. Guide teams on API standards, observability, resilience, and cost/performance trade-offs. Ensure adherence to security, privacy, and compliance expectations (e.g., ISO 27001/SOC 2). Provide architectural guidance and mentoring; review designs for cloud readiness (AWS/Azure/GCP), scalability, security, and availability. Cross-Functional Coordination & Process Automation: Align with Product, PMO, QA, Security, Data, and Finance on scope, sequence, and success criteria. Facilitate decision forums; convert ambiguous requirements into executable plans with owners and dates. Optimize resource planning and leverage automation to improve cost efficiency and throughput. Client-Facing Communication & Executive Presence Prepare and deliver client presentations, architecture reviews, and executive status readouts. Create concise briefs, options analyses, and RACI for major initiatives. AI/Automation (Supportive, not primary) Where relevant, help teams incorporate automation and AI to improve quality, speed, or cost—without making AI the job’s core. Ideal Candidate Profile: 7–12 years in software engineering/enterprise architecture or full-stack development, with 3+ years leading teams or engineering operations. Proven ownership of SDLC governance & DevOps (Git workflows, CI/CD, environments, release/change/incident management). Strong cloud experience (Azure/AWS/GCP) and microservices/API fundamentals; comfortable reviewing and guiding code-level decisions. Excellent communication & presentation skills; credible with clients and executives. Advanced diagramming skills (Visio, Lucidchart, draw.io) across app/infra/data/process views. Demonstrated ability to prioritize, sequence, and deliver across multiple teams; vendor management a plus. Familiarity with security/compliance practices (e.g., ISO 27001/SOC 2) and cost governance. Track record of problem solving, team leadership, and mentoring; drives continuous improvement. Nice to have Exposure to automation/AI/RAG patterns to support teams when appropriate. Hands-on experience with Java, Python, Node.js (or similar) for informed design/code reviews.