42456 Gcp Jobs - Page 16

At HackerRank, we are on a mission to change the world to value skills over pedigree . We are a high-performing, mission-driven team that truly, madly, deeply cares about what we do. We don’t see velocity and quality as tradeoffs; both matter. If you take pride in high-impact work and thrive in a driven team, HackerRank is where you belong. About The Role We’re looking for a Technical Solutions Engineer who pairs strong problem-solving skills with genuine customer empathy. This isn’t traditional support - you’ll be in front of customers as a trusted technical partner, helping them solve complex challenges, streamline workflows, and get the most value out of our platform. Our TSEs blend support and solutions engineering. You’ll run office hours, lead demos, and deliver proactive enablement sessions that build customer confidence and success. You’ll take on a fair share of support tickets to stay close to real-world issues, but your larger impact comes from preventing repeat problems, driving deflection, and creating scalable solutions through automation and AI - even automations that deflect or reduce ticket volumes for the team. Ultimately, you’ll accelerate adoption and success by combining hands-on customer engagement with technical depth ensuring every interaction reduces friction and builds trust. What You’ll Do Deliver a first-class customer experience across Slack, Zoom, and support tickets (email/chat via Pylon). Debug technical issues across, authentication flows (OAuth/SAML), network latency, and SSO. Troubleshoot HackerRank products including IDEs, AI features, integrity tooling, IDEs, and developer libraries. Resolve integration issues by debugging, writing custom scripts, and working with REST, GraphQL, and SOAP APIs. Capture customer feedback,Identify repeatable issues and eliminate them with automation, scripting, AI, and tooling. Partner with Customer Success, Sales, and Engagement teams to solve customer challenges and run technical demos as needed. Assist with common managed service needs such as question replacement, test creation, and test health reviews Who You Are Minimum 2+ years in a customer facing technical role (support, solutions engineering, sales engineering, or similar). Skilled in enterprise IT concepts: SSO, SAML,, authentication protocols and SAML. Comfortable with cloud platforms (AWS OR GCP) and debugging via logs and observability tools. Proficient with SQL (joins AND optimizations) REST/GraphQL/ SOAP APIs and tools like Postman, Insomnia, or cURL. Comfortable writing/debugging code or scripts in Python, Ruby, or similar. Even Better If You Have Prior experience as a software engineer, solutions engineer, or senior/lead technical support engineer Exposure to HR tech, assessment integrity, ATS platforms, or developer productivity tools. Hands-on experience shaping or implementing AI support systems and scalable runbooks. You Will Thrive in This Role If You enjoy being a problem-solver who eliminates inefficiency through automation. You’re excited to help design a best-in-class technical support model built around AI, automation, and human empathy. You balance deep technical skills with the ability to simplify complex systems for customers. You thrive in a role that combines debugging, customer interaction, and platform-level problem solving. Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here. HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Linkedin |X | Blog | Instagram | Life@HackerRank| Notice To Prospective HackerRank Job Applicants Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

🔍 Job Title: Lead Data Scientist – Healthcare Domain Specialist 📍 Location: Bangalore (Hybrid) 🕒 Employment Type: Full-Time | Payroll 📊 Industry: Healthcare | Artificial Intelligence | Predictive Analytics 🧠 Role Overview Seeking a Lead Data Scientist with extensive experience in healthcare data and predictive analytics , with a strong focus on developing AI/ML solutions for elderly fall risk assessment . This leadership role requires managing data science teams and collaborating cross-functionally with clinicians, product teams, and engineers to deploy impactful, scalable AI-driven healthcare solutions. 💼 Key Responsibilities AI/ML Model Development: Build, train, and optimize machine learning and deep learning models to assess and predict fall risk in elderly populations. Data Analysis & Feature Engineering: Analyze EHRs, clinical, and sensor data to uncover actionable insights and inform model development. Healthcare Integration: Apply domain expertise to ensure model reliability, clinical relevance, and ethical implementation in healthcare workflows. ETL & Data Pipelines: Design and implement robust data engineering pipelines to process data from multiple healthcare sources while maintaining quality and compliance. Collaboration: Partner with clinicians, engineers, and stakeholders to align AI solutions with patient care strategies and product goals. Compliance & Data Security: Ensure data handling practices are in line with HIPAA, GDPR, and other healthcare data regulations. Model Evaluation & Optimization: Monitor model performance and iterate to enhance accuracy and generalizability across datasets. Research & Innovation: Integrate the latest in healthcare AI research and technologies into real-world solutions. Team Leadership: Provide guidance to team members, manage task delivery, support technical problem-solving, and evaluate individual contributions. Stakeholder Communication: Present insights, results, and strategic value of AI initiatives to both technical and non-technical leadership. 🧾 Required Skills & Qualifications 🎓 Education Master's or PhD in Data Science, Computer Science, Bioinformatics, Statistics, or a related field. Strong academic foundation and understanding of healthcare concepts preferred. 💼 Experience 8–11 years of experience in data science, with at least 2+ years in healthcare AI applications. Proven track record leading AI initiatives in healthcare environments (e.g., hospitals, MedTech, health startups). Experience collaborating with interdisciplinary teams and contributing to research publications is a plus. 🛠 Technical Expertise Proficiency in Python and R. Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, and Scikit-learn. Solid foundation in statistics, probability, machine learning, and feature engineering. Experience working with sensor, wearable, IoT, or time-series data is an advantage. Familiarity with cloud platforms such as Azure (preferred), AWS, or GCP. Skilled in ETL development and scalable data pipeline design. 🏥 Healthcare Domain Knowledge Understanding of fall prevention, geriatric care, and predictive healthcare strategies. Familiarity with Electronic Health Records (EHRs), regulatory standards (e.g., HIPAA, GDPR), and healthcare compliance best practices. 🤝 Soft Skills Proven leadership in managing and mentoring technical teams. Strong communication skills for both technical and executive audiences. A research-oriented and proactive mindset with attention to detail. ⭐ Preferred Qualifications Knowledge in biomechanics or human movement analysis. Experience with Explainable AI (XAI) and interpretable ML frameworks. 🎁 What’s on Offer Opportunity to work on impact-driven AI/ML healthcare solutions. Competitive salary and benefits. Flexible and hybrid work environment. Clear career advancement and leadership development. Inclusive, collaborative team culture that values innovation and purpose. 📌 Relevant Job Categories Data Scientist Data Analyst Software & Web Development – AI/ML ✅ Key Skill Requirements Skill Minimum Experience Proficiency Level Python 5+ Years Intermediate to Advanced Machine Learning 6+ Years Intermediate to Advanced Data Science & Analytics 6+ Years Intermediate TensorFlow / PyTorch 3+ Years Intermediate Azure / Cloud Platforms 2+ Years Intermediate Skills: data,ml,data science,learning,healthcare

Requirements 3–5+ years as a Full Stack Developer Strong proficiency in React and FastAPI/Python Experience with PostgreSQL and database architecture Familiarity with GCP Knowledge of microservices architecture, Docker, Kubernetes Experience with RESTful APIs and version control (Git) Problem-solving skills and ability to work independently Bachelor’s/Master’s in Computer Science or related field Responsibilities Design and deploy scalable microservices using FastAPI/Python on GCP Develop and maintain web applications with React Manage and optimize PostgreSQL databases Implement CI/CD pipelines with GCP tools Collaborate with teams to define and ship new features Design and implement APIs Maintain code integrity and follow best practices Job Details Mode: Remote Interview process Screening R1 - cultural fit Technical R1 - live coding Technical R2 Final round with Founder

Job Title: Senior Golang Developer Experience Required: 3+ Years About the Role We are looking for a highly skilled Senior Golang Developer to design and develop scalable, high-performance backend services and applications. The ideal candidate will have strong expertise in Go (Golang) , distributed systems, and cloud-native applications, with the ability to mentor junior developers and lead complex projects. Key Responsibilities Design, develop, and maintain high-performance, reliable, and scalable backend systems using Golang. Build and optimize APIs, microservices, and distributed systems. Collaborate with product managers, architects, and cross-functional teams to deliver end-to-end solutions. Ensure applications are optimized for security, performance, and scalability . Write clean, testable, and maintainable code while following best practices. Conduct code reviews, troubleshoot production issues, and improve system reliability. Mentor junior developers and contribute to technical decision-making. Stay updated with emerging trends in backend development and Golang ecosystem. Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, Engineering, or related field. 5–8 years of backend development experience with at least 3+ years in Golang . Strong understanding of microservices architecture, REST APIs, and gRPC . Experience with databases – SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, Cassandra). Familiarity with cloud platforms (AWS, GCP, or Azure). Strong experience with Docker, Kubernetes, and CI/CD pipelines . Solid knowledge of concurrency, multithreading, and performance optimization . Proficiency with Git and Agile/Scrum methodologies. Good to Have Experience with message queues and event-driven architectures (Kafka, RabbitMQ, NATS). Knowledge of GraphQL APIs. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK). Exposure to DevOps practices and Infrastructure as Code (Terraform).

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as an AI Agent Developer and help define the future of intelligent systems. This role places you at the forefront of autonomous AI workflows, where your contributions directly enable businesses to automate complex tasks through intelligent agents and retrieval-augmented generation (RAG) pipelines. Plus, enjoy the flexibility to structure your engagement on an hourly or project basis, all while working remotely. Role Overview As an AI Agent Developer, you will: Design Intelligent Agents : Build and fine-tune autonomous agents using LangChain and agentic AI frameworks. Develop RAG Pipelines : Create and implement retrieval-augmented generation pipelines for contextual response generation. Integrate APIs : Seamlessly integrate external APIs for dynamic agent interaction and task execution. Leverage Vector Databases : Utilize vector databases for context embedding, memory storage, and efficient retrieval. Cloud Deployment : Deploy, monitor, and optimize agents on cloud platforms such as AWS, GCP, or Azure using scalable infrastructure. Collaborate & Iterate : Work with cross-functional teams to design, test, and improve AI-driven workflows and systems. Technical Requirements & Skills Experience : Minimum 2+ years in AI development or related fields. Frameworks & Tools : Proficiency in LangChain, vector databases (e.g., Pinecone, Weaviate), and agentic AI concepts. Programming Language : Strong expertise in Python and building modular AI components. Cloud Infrastructure : Experience with deploying and scaling applications on AWS, GCP, or Azure. API Integrations : Solid understanding of RESTful and GraphQL APIs for workflow orchestration. Applied AI Systems : Familiarity with RAG concepts, embeddings, and multi-step agent design. What We’re Looking For An AI engineer who understands the architecture and lifecycle of autonomous agents. A freelancer who thrives in a remote, flexible work environment with the ability to manage multiple agent-based projects. A builder who is excited to push boundaries with modern AI tools and frameworks. Why Join Us? Immediate Impact : Work on cutting-edge AI workflows and help startups accelerate their automation journey. Remote & Flexible : Structure your commitment on an hourly or project basis—work from anywhere. Future Opportunities : BeGig’s ecosystem ensures you stay matched with relevant, AI-first engineering roles. Growth & Recognition : Be part of a collaborative environment that values innovation, contribution, and continuous learning.

About the Role We are seeking a Full Stack Developer who can build scalable applications end-to-end, from crafting intuitive user interfaces to designing robust backend systems. You’ll collaborate with product managers, designers, and engineers to deliver high-quality, secure, and performant solutions. Key Responsibilities Design, develop, and maintain end-to-end web applications (frontend + backend). Build responsive UIs using React.js / Angular / Vue (depending on stack). Develop backend services and APIs using Node.js, Python, Java, or similar . Manage databases (SQL / NoSQL) and optimize queries for performance. Integrate third-party services and APIs as needed. Ensure scalability, security, and performance across the full stack. Write clean, testable, and well-documented code following best practices. Work in an Agile/Scrum environment, collaborating with cross-functional teams. Requirements Strong proficiency in JavaScript (ES6+), React.js (or other modern frontend framework) . Hands-on experience with Node.js / Express.js (or equivalent backend frameworks) . Knowledge of databases : MySQL, PostgreSQL, MongoDB, or similar. Experience in RESTful APIs / GraphQL design and integration. Familiarity with cloud services (AWS, GCP, Azure) and DevOps practices. Solid understanding of HTML5, CSS3, responsive design principles . Proficiency with Git and CI/CD workflows.

Job Title: Senior Data Analyst Experience Required: 3+Years About the Role We are seeking an experienced Senior Data Analyst to transform data into actionable insights that drive strategic decision-making. The ideal candidate will have strong analytical skills, expertise in data visualization, and the ability to communicate findings effectively to both technical and non-technical stakeholders. Key Responsibilities Collect, clean, and analyze large datasets from multiple sources. Design and develop dashboards, reports, and visualizations for business stakeholders. Work with leadership to define KPIs and track business performance. Perform exploratory data analysis (EDA), trend analysis, and forecasting . Collaborate with cross-functional teams (engineering, product, finance, sales) to identify business opportunities. Translate business problems into analytical solutions. Provide actionable recommendations based on insights. Mentor junior analysts and ensure best practices in data analysis. Required Skills & Qualifications Bachelor’s or Master’s in Statistics, Mathematics, Computer Science, Economics, or related field. 5–8 years of experience as a Data Analyst or similar role. Strong proficiency in SQL and relational databases. Expertise in data visualization tools ( Tableau, Power BI, or Looker ). Proficiency in Excel (advanced functions, pivot tables, macros). Hands-on experience with Python or R for data analysis. Strong understanding of statistical methods, hypothesis testing, and forecasting . Excellent problem-solving and communication skills. Good to Have Experience with Big Data tools (Spark, Hadoop). Familiarity with cloud platforms (AWS, GCP, or Azure). Knowledge of ETL processes and data warehousing (Snowflake, Redshift, BigQuery). Exposure to machine learning concepts and predictive analytics.

Job Description: Training Manager Company: Micro Therapeutic Research Labs Pvt. Ltd (MTRL) Industry: Pharmaceutical / Clinical Research (CRO) Location: East Tambaram, Chennai- 600 059 Job Type: Full-Time About MTRL: Micro Therapeutic Research Labs (MTRL) is a full-service Clinical Research Organization (CRO) committed to advancing global health by providing comprehensive and high-quality clinical trial services. We partner with pharmaceutical, biotechnology, and medical device companies to deliver reliable data and accelerate the development of new therapies. Job Summary: We are seeking a dynamic and strategic Training Manager to lead our learning and development initiatives. This pivotal role is responsible for designing, implementing, and managing comprehensive training programs that enhance the skills, knowledge, and performance of our employees across all levels. The ideal candidate will be an expert in clinical research processes and dedicated to fostering a culture of continuous learning and excellence, ensuring MTRL remains at the forefront of the CRO industry. Key Responsibilities: 1. Training Strategy & Program Development: Develop and execute a strategic training roadmap aligned with MTRL's business goals and quality objectives. Design, update, and deliver robust training curricula for various functional areas including, but not limited to: Clinical Operations (Monitoring, Site Management, GCP) Data Management, Biostatistics, and Programming Pharmacovigilance & Drug Safety Regulatory Affairs and Submissions Quality Assurance (GCP, GLP, SOPs) Project Management Create specialized training modules for new hires (onboarding), ongoing development, and new process implementations. 2. Content Creation & Delivery: Develop engaging and effective training materials (e.g., e-learning modules, instructor-led presentations, workshops, job aids, simulations, and standard operating procedure (SOP) training guides). Utilize a variety of training methodologies (blended learning, virtual, in-person) to cater to diverse learning styles. Facilitate dynamic and interactive training sessions for employees at all levels. 3. University & College Liaison (Academia-Industry Partnership): Develop and manage strategic partnerships with colleges and universities offering degrees in Life Sciences, Pharmacy, Medicine, and Clinical Research. Design and oversee structured internship programs , industry visits , and guest lecture series to build a strong talent pipeline for MTRL. Represent MTRL at career fairs, seminars, and webinars to enhance our employer brand and attract top talent. 4. Training Administration & Evaluation: Manage the Learning Management System (LMS) to track training assignments, completion, and compliance. Establish Key Performance Indicators (KPIs) to measure the effectiveness and ROI of training programs. Conduct needs assessments, gather feedback, and continuously improve training content and delivery based on evaluation data. Ensure all training activities are documented and inspection-ready for regulatory audits. 5. Leadership & Collaboration: Collaborate closely with department heads (Clinical, QA, HR) to identify skill gaps and training needs. Mentor and coach subject matter experts (SMEs) to enhance their training delivery skills. Stay abreast of industry trends, regulatory changes (ICH-GCP, FDA, EMA guidelines), and advancements in training technologies. Qualifications & Experience: Education: Master’s degree or PhD in Life Sciences, Pharmacy, Medicine, Clinical Research, or a related field. A degree in Education or Human Resource Development is a plus. Experience: Minimum of 5-10 years of experience within a Clinical Research Organization (CRO) or pharmaceutical company. At least 5 years of proven experience in a dedicated training and development role, with a focus on clinical research processes. Demonstrated experience in curriculum design, e-learning development, and facilitating training for technical and soft skills. Experience in building and managing university relations or internship programs is highly desirable. Required Skills & Competencies: Expert Knowledge: In-depth understanding of ICH-GCP guidelines and the clinical trial process from start-up to close-out. Exceptional Communication: Outstanding presentation, facilitation, and written communication skills. Strategic Mindset: Ability to think strategically and translate business needs into effective learning solutions. Technical Proficiency: Experience with Learning Management Systems (LMS) and e-authoring tools (e.g., Articulate 360, Adobe Captivate). Leadership: Strong influencing and collaboration skills to work effectively with cross-functional teams. Organizational Skills: Excellent project management and organizational abilities. What We Offer: A competitive salary and benefits package. An opportunity to play a critical role in shaping the capabilities of a growing CRO. A collaborative and science-driven work environment. Professional development and career growth opportunities. ** Walk-In Details: ** - **Dates**: 21st Aug 2025 & 22nd Aug 2025 to 23rd Aug 2025 - **Time**: 11:00 AM onwards till 4 pm - **Venue**: Micro Therapeutic Research Labs Pvt. Ltd (MTRL). # 6, Kamarajar Salai, East Tambaram, Selaiyur, Chennai, Tamil Nadu 600059 **Important Note:** Please carry your updated resume and all relevant educational certificates when attending the walk-in. Contact Person - REYAJITHEEN. A / 0091-9500112999 Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹55,000.00 per month Benefits: Cell phone reimbursement Work Location: In person Expected Start Date: 31/08/2025

We're on the hunt for a passionate and skilled AI/ML Engineer to join a world-class team of innovators from top-tier companies. Build with LLMs & GenAI Fine-tune and deploy Large Language Models (LLMs) like GPT, BERT, etc., for core AI features across the product Develop and optimize Generative AI capabilities — diffusion models, LoRA, or similar frameworks Continuously improve performance using prompt engineering, retrieval-augmented generation (RAG), and user feedback Deploy AI Workflows Build scalable, production-ready AI workflows and pipelines using APIs, microservices, and vector databases Translate prototypes into stable product features in collaboration with product and backend teams Integrate AI systems into real-time and batch data processing layers Infrastructure & Performance Work with cloud GPU environments (AWS/GCP/Azure) to train, run, and monitor LLM-based systems Optimize inference latency and throughput for high-scale use cases Requirements for the Role 2–3 years of experience in AI/ML Engineering Strong Python skills with experience in frameworks like PyTorch or TensorFlow Proven hands-on experience with LLMs, prompt engineering, or Generative AI models Experience deploying models to production in a cloud environment (AWS/GCP/Azure) Comfortable with tools like HuggingFace, LangChain, or similar open-source stacks Bonus Exposure to finance, accounting, or enterprise workflows Experience with vector databases (e.g., FAISS, Pinecone) or semantic search Perks & Benefits Upskilling Policy: Get access to courses, tools, and resources to keep learning and growing. Team Outings: Offsites and outings to celebrate milestones and build deeper bonds. Engagement Initiatives: Hackathons, open demos, and game nights—designed to spark creativity and fun. Flexible Work-from-Home: While we follow a 5-day in-office setup, we know the value of occasional flexibility. Our WFH policy lets you go remote for up to 12 days every 6 months—because we get that a change of scene helps you do your best work. Menstrual WFH: Women employees can avail up to 3 WFH days per month—no questions asked. Mobility Benefits: Relocation support and travel allowance for smooth onboarding. Parental Support: Maternity, paternity, and adoption leave—because your family matters.

Job Title- Data Architect Location- Cochi/TVM, Kerala Primary Skills - DataAzure Services (Primary) and AWS/GCP,ADF Salary- 32 LPA Notice Period -Immediate to 30 days Experience -12 to 17 Yrs About the Role: We are seeking an experienced Data Architect with a strong background in Azure Data Services , along with exposure to AWS/GCP . The ideal candidate will have expertise in designing, implementing, and optimizing enterprise-level data architectures. The role requires proficiency in Azure Data Factory (ADF) , data modeling, data pipelines, and cloud-based data solutions. This is a strategic role where you will define and drive the data architecture roadmap, ensuring scalability, performance, and security across our data ecosystem. Key Responsibilities: Design, implement, and manage scalable data architectures on Azure Cloud (primary) , with exposure to AWS/GCP. Build and optimize data pipelines and ETL processes using Azure Data Factory (ADF) . Define best practices for data integration, storage, processing, and analytics . Collaborate with business stakeholders, data engineers, and analysts to understand requirements and translate them into data architecture solutions. Ensure data

Senior Systems Integrator Lead About the Role : We're seeking an experienced Senior Systems Integrator Lead to spearhead the integration of our cutting-edge LLM solutions with diverse enterprise systems. This is a technical leadership role where you'll be hands-on in architecting, building, and deploying complex integration solutions while providing guidance and mentorship to a team of engineers. You'll be at the forefront of connecting disparate systems, orchestrating seamless LLM integrations, and establishing best practices for AI-driven system architecture. The ideal candidate combines deep technical expertise in systems integration with proven leadership capabilities and extensive experience in LLM/Generative AI implementations. Key Responsibilities : Technical Leadership & Team Guidance Lead Integration Architecture: Design and oversee complex, multi-system integration strategies that seamlessly connect LLM solutions with existing enterprise infrastructure Team Technical Guidance: Mentor and guide development teams on integration best practices, code architecture patterns, and LLM implementation strategies Hands-on Development: Remain technically hands-on, writing code, conducting code reviews, and troubleshooting complex integration challenges Standards & Best Practices: Establish and enforce integration standards, development workflows, and quality assurance processes LLM & AI Integration Expertise: Advanced LLM Integration: Design and implement sophisticated integration patterns for various LLM providers (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, etc.) AI Pipeline Architecture: Build robust, scalable pipelines for prompt engineering, response processing, and model orchestration Performance Optimization: Optimize LLM integration performance including token management, caching strategies, and response time optimization Multi-modal AI Integration: Integrate text, image, and other AI modalities into existing business workflows Systems Integration & Architecture: Enterprise Integration Patterns: Implement complex integration solutions using APIs, message queues, ETL/ELT pipelines, and event-driven architectures Microservices Architecture: Design and maintain microservices-based integration layers with proper service mesh, API gateway, and monitoring implementations Cloud-Native Solutions: Architect cloud-native integration solutions leveraging containers, serverless functions, and managed services Data Flow Management: Ensure secure, efficient data flow between systems while maintaining data integrity and compliance requirements Full-Stack Development & UI Integration: React.js Applications: Build sophisticated front-end applications using React.js that interface with LLM backends and integrated enterprise systems API Development: Design and implement RESTful and GraphQL APIs that serve as integration points between systems Real-time Features: Implement real-time capabilities for AI interactions using WebSockets, Server-Sent Events, or similar technologies Collaboration & Communication: Cross-functional Leadership: Work with product managers, data scientists, DevOps teams, and business stakeholders to translate requirements into technical solutions Technical Documentation: Create comprehensive architecture documentation, integration guides, and system design specifications Knowledge Sharing: Conduct technical sessions, workshops, and knowledge transfer meetings with team members and stakeholders Key Experiences Experience & Leadership: 6-8+ years of systems integration experience with 2+ years in technical leadership roles Proven team leadership experience including mentoring junior developers and leading technical initiatives 3+ years hands-on experience with LLM integration, Generative AI implementations, and AI/ML pipeline development Technical Skills: LLM Integration Expertise: Deep experience with major LLM providers' APIs, prompt engineering, fine-tuning, and deployment strategies Integration Technologies: Advanced knowledge of REST/GraphQL APIs, message brokers (Kafka, RabbitMQ), ETL tools, and integration platforms Cloud Platforms: Proficiency with AWS, Azure, or GCP, including serverless architectures, container orchestration, and managed AI services React.js Mastery: Strong expertise in React.js, modern JavaScript (ES6+), TypeScript, and state management libraries Database Integration: Experience with both SQL and NoSQL databases, data modeling, and database integration patterns DevOps & Monitoring: Knowledge of CI/CD pipelines, containerization (Docker/Kubernetes), and observability tools Architecture & Design Software Architecture: Strong understanding of microservices, event-driven architectures, and distributed system design patterns Security & Compliance: Knowledge of API security, data encryption, and compliance frameworks (SOC2, GDPR, etc.) Performance Engineering: Experience in system performance optimization, load balancing, and scalability planning Soft Skills Technical Communication: Excellent ability to communicate complex technical concepts to both technical and business stakeholders Problem-Solving: Strong analytical and troubleshooting skills with a solutions-oriented mindset Adaptability: Comfortable working in fast-paced environments with evolving requirements and emerging technologies Preferred Experience Experience with vector databases and semantic search implementations Knowledge of prompt engineering frameworks and AI agent architectures Background in enterprise software integration (SAP, Salesforce, ServiceNow, etc.) Experience with infrastructure-as-code (Terraform, CloudFormation) Previous experience in AI/ML product development or consulting What You'll Bring to the Team Technical expertise that can tackle the most complex integration challenges Leadership skills to guide and grow a high-performing engineering team Strategic thinking to align technical solutions with business objectives Hands-on mentality with the ability to dive deep into code when needed Innovation mindset to explore and implement cutting-edge AI integration patterns

Position: Software Architect Location: West mambalam, chennai Experience Required: Minimum 3 years in SaaS Architect role (with proven experience in SaaS software development) About Us GGSH & Co. LLP is a leading professional services firm specializing in taxation, audit, and compliance. As part of our vision to integrate technology into core financial services, we are developing an advanced Accounting & Finance SaaS platform. We are expanding our tech team and seeking passionate professionals who can architect and deliver innovative, secure, and scalable financial technology solutions. Key Responsibilities Design and implement the architecture of our Accounting & Finance SaaS platform. Lead the development lifecycle, including planning, coding, testing, and deployment. Define system architecture, database design, APIs, and integration strategies. Ensure scalability, security, and performance across the platform. Collaborate with product managers, developers, and stakeholders. Drive best practices in coding standards, DevOps, and security compliance. Mentor developers and provide technical leadership. Required Skills & Qualifications Minimum 3 years as a Software Architect in SaaS development. Strong expertise in scalable SaaS application design. Experience with cloud platforms (AWS / Azure / GCP) & microservices. Solid database knowledge (SQL / NoSQL). Hands-on with CI/CD pipelines & DevOps practices. Strong grasp of security, encryption, and compliance for SaaS. Proficiency in programming languages (Java, Python, .NET, Node.js, React). Excellent problem-solving and communication skills. Preferred Qualifications Experience in FinTech, Accounting, or Financial SaaS solutions. Exposure to startup or fast-paced product environments. Knowledge of AI/ML integration in SaaS platforms. What We Offer: Opportunity to build a next-gen Accounting & Finance SaaS platform. Collaborative, innovation-driven work culture. Competitive compensation & career growth. How to Apply: Interested candidates can send their resume to career@ggsh.in or contact us at +91 97910 66711 Location: 9/6, 3rd Floor, Chakarapani Street, West Mambalam, Chennai – 600033 Job Type: Full-time Pay: ₹400,000.00 - ₹600,000.00 per year Ability to commute/relocate: West Mambalam, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: SaaS software architecture: 3 years (Preferred) microservices-based system design: 3 years (Preferred) Work Location: In person Speak with the employer +91 9791066711

Job Title: AI/ML Engineer Experience Required: 3+ Years About the Role We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will have strong expertise in data science, machine learning algorithms, and deep learning frameworks, with the ability to translate business requirements into scalable AI solutions. Key Responsibilities Design, build, and deploy machine learning and deep learning models for real-world applications. Collaborate with data engineers and scientists to collect, clean, and preprocess data. Optimize models for performance, scalability, and accuracy. Implement MLOps practices for continuous training, monitoring, and deployment. Research and experiment with new algorithms, techniques, and tools in AI/ML. Work with stakeholders to define use cases and integrate AI solutions into products. Document processes, models, and workflows for knowledge sharing. Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field. 3–7 years of experience in AI/ML development. Strong proficiency in Python and ML libraries (scikit-learn, NumPy, Pandas). Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras). Solid understanding of machine learning algorithms, statistics, and data structures . Experience with NLP, Computer Vision, or Recommendation Systems . Familiarity with SQL/NoSQL databases and working with large-scale datasets. Exposure to cloud platforms (AWS Sagemaker, GCP Vertex AI, Azure ML). Good knowledge of software engineering practices (Git, CI/CD, Docker, Kubernetes). Good to Have Experience with reinforcement learning or generative AI models (LLMs, GANs, Transformers) . Familiarity with big data frameworks (Spark, Hadoop). Knowledge of data visualization tools (Tableau, Power BI, matplotlib, seaborn). Prior exposure to MLOps pipelines and model monitoring tools .

Role:L3 Support Engineer & Network Support Engineer Experience-8-12years Notice period-Immediate to 30Days Location -Mumbai Email on ************* Roles and Responsibilites:- We are looking for an experienced L3 IT Support and Network Support Engineer to join our IT team. The ideal candidate will be responsible for providing the high-level support for complex hardware, software, and network issues while playing a critical role in infrastructure management, security enforcement, and project implementation. L3 IT Support Handle escalations from L1 and L2 teams related to systems and networks. Provide advanced troubleshooting and root cause analysis for OS, application, and hardware-related issues. Maintain and support enterprise tools such as Active Directory, Microsoft Exchange, Office 365, SCCM, and endpoint protection systems. Manage IT asset inventory, software licensing, patch management, and vulnerability remediation. Implement and maintain backup, disaster recovery, and high availability systems. Document all resolutions, procedures, and configurations in the knowledge base. Network Support Configure, monitor, and maintain routers, switches, firewalls, access points, and VPNs. Troubleshoot LAN/WAN connectivity, DNS/DHCP issues, and network performance problems. Monitor and ensure uptime, availability, and performance of network infrastructure. Support and manage firewalls (Cisco ASA/Fortinet/SonicWall/Palo Alto), VPN, VLANs, and IPsec tunnels. Implement network security protocols and support audit/compliance processes. Collaborate with vendors for network upgrades, maintenance, and incident resolution. Desired Skillsets 8–12 years of hands-on experience in IT infrastructure support and network operations. Strong knowledge of Windows Server, Active Directory, Group Policy, and DNS/DHCP. Experience with cloud services (Azure, AWS, or GCP), virtualization (VMware/Hyper-V). Solid understanding of networking concepts: TCP/IP, BGP, OSPF, NAT, VLANs, etc. Hands-on experience with enterprise-grade routers/switches/firewalls. Microsoft Certified: Azure Administrator Associate / MCSA / MCSE Cisco Certified Network Professional (CCNP) / CCNA We are looking for an experienced L3 IT Support and Network Support Engineer to join our IT team.

JOB SUMMARY: We are seeking a highly skilled IT Expert (Server Management & Hosting Specialist) to oversee the design, implementation, security, and ongoing management of our IT infrastructure. The ideal candidate will bring deep expertise in server hosting, management of on-premises and cloud-based environments, and ensure the smooth functioning of all IT operations including networks, data protection, system availability, and disaster recovery. This role also includes providing enterprise-level support to staff, coordinating IT projects, and maintaining compliance with information security standards. JOB DESCRIPTION: Server & Hosting Management Install, configure, and administer web servers, application servers, and database servers both on-premises and in the cloud (AWS, Azure, Google Cloud, or hosting providers). Manage server hosting services, including VPS, dedicated servers, shared hosting, and cloud instances. Optimize server performance, scalability, and uptime; implement load balancing, failover, clustering, and high availability strategies. Monitor server health, performance, logs, and security to ensure business-critical applications run without disruption. Perform server hardening and regular patch management to maintain compliance and security. Manage SSL certificates, DNS, domain registrations, and hosting control panels (e.g., cPanel, Plesk, WHM). Systems & Networks Install, configure, and maintain hardware, operating systems, and software environments. Monitor and support LAN/WAN, routers, switches, VPNs, firewalls, and wireless infrastructure. Troubleshoot system, network, and security issues efficiently to ensure minimal downtime. Implement access control measures, antivirus, and endpoint protection across the infrastructure. Backup, Security, and Disaster Recovery Design and manage data backup solutions, disaster recovery plans, and business continuity measures. Ensure compliance with data security regulations (GDPR, HIPAA, ISO, etc. as relevant). Regularly test backup and recovery processes to guarantee business continuity. Support & Coordination Provide technical support and guidance to employees via phone, email, and onsite assistance. Collaborate with vendors, service providers, and hosting companies for IT purchases, licensing, and technical support. Train staff on IT policies, data protection guidelines, and secure IT usage practices. Documentation & Governance Create and maintain IT documentation, including SOPs, manuals, knowledge base articles, compliance audits, and IT asset records. Track IT hardware/software inventory and manage IT lifecycle. Ensure timely IT reporting, updates, and performance metrics to management Requirements: Proven Experience: 2 years of experience in server hosting Bachelor’s degree in Computer Science, Information Technology, or related field (preferred). Proven experience in server management, hosting environments, and IT infrastructure administration. Hands-on experience with Windows Servers, Linux (CentOS, Ubuntu, RHEL), and virtualization (VMware, Hyper-V, Proxmox). Strong knowledge of cloud platforms (AWS, Azure, GCP) and hosting control panels (WHM, cPanel, Plesk). Expertise in network management (LAN, WAN, VPN, firewalls, routers, switches). Solid understanding of cybersecurity best practices, server hardening, and compliance standards. Familiarity with scripting and automation (PowerShell, Bash, Python preferred) mail your cv at kavita.gupta@grapeservices.net We are looking for immediate joiners apply only if you can join immediately.

QA Engineering Manager Location: Gurgaon, Head Office Type: Full time Only Tier 1 College Gradutates or Tier 1 Company background. About the role/ What will you be responsible for We’re looking for an engineering manager to lead quality for fast-moving engineering teams. These teams build everything from complex business software (for sales, inventory, operations, finance, and more) to consumer apps and websites. You’ll be responsible for all aspects of quality — including testing strategies, test automation, quality sprints, triaging, technical support, and the overall quality roadmap. You’ll also manage and grow the quality team. You’ll mentor SDETs and QAs, build a strong quality culture, and help teams adopt shift-left practices by providing tools and frameworks to test early and often. You'll also promote structured decision-making to improve confidence in every release. What makes you a great match: ● 3+ years of experience in quality leadership roles (e.g., SDET Manager, SDET Lead, QA Manager, QA Lead), leading teams and owning the quality roadmap — preferably in e- commerce. ● A hands-on approach to building tools that automate testing for both business and consumer apps. ● Strong communication and collaboration skills to align with both technical and non-technical stakeholders. What’ll help you move faster: ● Experience with ERP software like Odoo, ERPNext, or similar platforms. ● Hands-on experience with Python, Flutter, PostgreSQL, and cloud platforms like GCP and AWS. ● A deep understanding of automation technologies such as Selenium and Playwright.

About Us We are a global deep-tech startup in stealth mode , building foundational infrastructure for the next generation of AI workloads. Our mission is to solve large-scale compute and efficiency challenges faced by enterprises worldwide. We are setting up our India engineering hub in Jaipur , giving top engineers an opportunity to work on cutting-edge problems in distributed systems, Kubernetes orchestration, and AI infrastructure — right from the start. Role Overview We are hiring Software Engineers in Jaipur to join our early core team. You will be responsible for designing and building distributed systems and orchestration frameworks that power modern AI workloads. This is a rare opportunity to work in a stealth-stage global startup , where your contributions directly shape the platform from day one. Location Jaipur, Rajasthan (On-site / Hybrid flexibility) Responsibilities · Design and develop core platform services for distributed systems and large-scale workloads. · Build orchestration and control-plane components using Kubernetes and containerization frameworks. · Develop high-performance, reliable, and secure APIs and backend services. · Optimize systems for scalability, reliability, and efficiency. · Collaborate with global engineering teams to deliver production-ready infrastructure. Required Skillset · Strong programming skills in Python (backend systems, APIs, automation). · Solid understanding of Kubernetes, distributed systems, and concurrency models . · Hands-on experience with containerization (Docker) and orchestration (Kubernetes, Helm). · Familiarity with cloud platforms (AWS, Azure, GCP) or on-prem infrastructure. · Strong debugging, optimization, and problem-solving skills. Preferred (Good to Have) · Exposure to AI/ML infrastructure or HPC systems . · Experience with multi-tenant architectures and workload scheduling . · Contributions to open-source or large-scale backend systems. Why Join Us · Work on global-scale, deep-tech problems from Jaipur. · Be part of the early core engineering team in a stealth-stage startup. · Opportunity to shape the platform and technology direction from the ground up. · Collaborate with world-class engineers and leaders with a proven track record in cloud and distributed systems. ⚡ This is your chance to build the future of AI infrastructure from Jaipur. Join our stealth mission. Job Type: Full-time Pay: ₹282,918.82 - ₹1,047,949.30 per year Work Location: In person

This role is for one of the Weekday's clients Min Experience: 5 years Location: Hyderabad JobType: full-time We are seeking a highly skilled and motivated Data Engineer with strong expertise in Scala to join our data engineering team. The ideal candidate will bring 5-15 years of experience in designing, developing, and maintaining scalable data pipelines and distributed systems. This role requires a strong background in data engineering, deep knowledge of modern data platforms, and hands-on experience with large-scale data processing frameworks. As a Data Engineer, you will be responsible for building and optimizing data systems that support our analytical, operational, and business intelligence needs. You will collaborate closely with data scientists, analysts, and software engineers to ensure reliable, accurate, and accessible data across the organization. Requirements Key Responsibilities Data Pipeline Development: Design, build, and optimize large-scale data pipelines using Scala to process structured, semi-structured, and unstructured data efficiently. Data Architecture: Contribute to the design and implementation of robust, scalable, and high-performing data architectures that meet the evolving needs of the business. Big Data Processing: Leverage distributed computing frameworks such as Apache Spark, Kafka, Flink, or Hadoop to process and manage high volumes of real-time and batch data. Database Management: Work with relational (SQL) and non-relational databases (NoSQL, key-value stores, columnar databases) to ensure optimal storage, retrieval, and accessibility of data. ETL & Data Transformation: Develop, test, and maintain efficient ETL processes for ingestion, transformation, and integration of data from multiple sources into centralized platforms. Collaboration & Stakeholder Engagement: Partner with cross-functional teams—including analysts, product managers, and business stakeholders—to understand requirements and deliver data solutions that support decision-making. Performance Optimization: Ensure high availability, fault tolerance, and efficiency in data systems by optimizing queries, tuning data pipelines, and implementing performance monitoring. Data Quality & Governance: Implement best practices for data validation, quality checks, lineage, and governance to maintain reliable and trustworthy datasets. Required Skills & Qualifications Professional Experience: 5-15 years of proven experience as a Data Engineer or in a similar data-focused role. Scala Expertise: Strong proficiency in Scala programming for data engineering applications. Big Data Technologies: Hands-on experience with distributed data processing frameworks such as Apache Spark (Scala API preferred). ETL Development: Expertise in building and managing data ingestion, transformation, and integration pipelines. Databases: Strong knowledge of SQL and exposure to modern data stores such as Cassandra, MongoDB, HBase, or Redshift. Cloud Platforms: Experience with AWS, Azure, or GCP for data engineering solutions (S3, EMR, Dataflow, Databricks, etc.). Data Modeling: Solid understanding of data modeling, schema design, and partitioning strategies for performance and scalability. Version Control & CI/CD: Familiarity with Git, CI/CD pipelines, and containerization (Docker, Kubernetes). Problem-Solving Skills: Strong analytical and debugging abilities to tackle complex data challenges. Preferred Qualifications Experience working in a fast-paced product-based environment or large-scale enterprise data systems. Familiarity with functional programming paradigms and best practices in Scala. Exposure to machine learning pipelines or real-time streaming data applications. Knowledge of data governance frameworks, security, and compliance (GDPR, HIPAA, etc.)

Job Title: Senior DevOps Engineer (9+ Years Experience) Location: Remote Employment Type: Full-time About the Role: We are seeking an experienced Senior DevOps Engineer with a proven track record in designing, implementing, and managing robust CI/CD pipelines, cloud infrastructure, and automation processes. The ideal candidate will have deep expertise across DevOps tools, cloud platforms, containerization, monitoring, and security best practices, enabling seamless collaboration between development and operations teams to deliver high-quality, scalable solutions. Key Responsibilities: Design, implement, and maintain CI/CD pipelines for automated build, test, and deployment. Manage and optimize cloud infrastructure (AWS/Azure/GCP) ensuring scalability, performance, and cost efficiency. Implement infrastructure as code using tools like Terraform, CloudFormation, or Ansible. Deploy, manage, and monitor containers and orchestration platforms (Docker, Kubernetes, Helm). Configure and manage logging, monitoring, and alerting systems (Prometheus, Grafana, ELK, etc.). Ensure security and compliance in deployment pipelines and infrastructure. Collaborate with development, QA, and security teams to streamline release processes. Troubleshoot production issues and provide root cause analysis. Mentor junior engineers and drive best DevOps practices. Required Skills & Experience: 9+ years of experience in DevOps, Site Reliability Engineering, or related roles . Strong knowledge of Linux/Unix administration and scripting (Bash, Python, PowerShell). Hands-on experience with cloud platforms (AWS, Azure, or GCP). Proficiency in CI/CD tools (Jenkins, GitLab CI/CD, GitHub Actions, etc.). Experience with containerization & orchestration (Docker, Kubernetes). Expertise in IaC tools (Terraform, Ansible, Puppet, or Chef). Familiarity with networking, load balancers, DNS, and security concepts . Excellent problem-solving and communication skills. Nice to Have: Experience with serverless computing and microservices architectures . Knowledge of service mesh (Istio, Linkerd). Background in performance tuning and cost optimization for cloud workloads. Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field (or equivalent work experience).

About The Opportunity Cybersecurity / Ethical Hacking Internship (Remote, Unpaid) A fast-growing organization operating in the Information Security & Networking sector, delivering managed security, penetration testing, and secure network design to enterprise and mid-market customers. We seek curious, hands-on interns to join a remote SOC and engineering team focused on real-world security monitoring, incident response, and vulnerability remediation across cloud and on-prem environments. Role & Responsibilities Monitor security telemetry and alerts in SIEM platforms; triage, validate, and escalate incidents following defined playbooks. Perform vulnerability scans and basic penetration testing on assigned systems; document findings and recommend remediation steps. Investigate suspicious activity using log analysis, packet captures, and host forensics; produce clear incident summaries and timelines. Develop automation scripts (Python/Bash) to enrich alerts, reduce false positives, and streamline repetitive SOC tasks. Support secure configuration reviews for cloud and network assets; assist in implementing basic hardening recommendations. Collaborate with senior engineers on threat hunting, signature tuning, and knowledge-base updates to raise detection coverage. Skills & Qualifications Must-Have Enrolled in or recent graduate of a degree/diploma in Computer Science, Information Security, Cyber Security or related field. Strong Linux command-line comfort and basic Windows troubleshooting skills. Practical experience with at least one scripting language (Python/Bash/PowerShell) for automation. Familiarity with networking fundamentals (TCP/IP, DNS, ports) and common security tools (Nmap, Wireshark). Good written and verbal communication; able to produce concise incident reports and remediation guidance. Preferred Hands-on exposure to SIEMs (Splunk/Elastic/QRadar) or logging stacks and alert tuning. Knowledge of vulnerability scanners (Nessus/OpenVAS) or basic pentesting lab experience (OWASP, Kali). Familiarity with cloud security concepts (AWS/Azure) and common hardening patterns. Benefits & Culture Highlights 100% remote internship open to candidates based in India with flexible working hours. Mentorship from experienced security engineers, regular hands-on learning, and exposure to client-grade environments. Certificate of completion, letter of recommendation for high performers, and potential conversion to a full-time role. Full time opportunity is also open after internship. Internship Details Type: Internship (Unpaid, learning-focused) Mode: Remote (Work from Anywhere) Duration: 4–5 months (flexible) Openings: 10 Perks: Certificate of Completion, Letter of Recommendation (LOR), Mentorship, Full-time opportunities for top performers. This role is ideal for proactive learners seeking practical SOC and security-engineering experience. If you enjoy investigating incidents, automating workflows, and building defensive controls, apply with your resume and a short note describing a security project or lab exercise you completed. Note: This is a unpaid internship.Skills: cybersecurity,ethical hacking,penetration testing,vulnerability assessment,network security,soc,python,security,incident response,cloud security,bash,cloud,remediation,vulnerability,automation,completion,cyber,shell scripting,wireshark,burp suite,kali linux,nessus,openvas,siem,splunk,elastic,qradar,information security,aws,azure,gcp,firewalls,ids/ips,soar,owasp top ten,risk assessment,security audits,malware analysis

Full Stack Developer (Vue.js & Node.js.) Experience: 6+ years of exp Location: Kochi / Bengaluru Job Summary: We are looking for a highly skilled and experienced Full Stack Developer with a strong background in Vue.js and Node.js . The ideal candidate will be responsible for designing, developing, and maintaining complex web applications with a focus on performance, scalability, and user experience. Key Responsibilities: Design, develop, test, and maintain modern web applications using Vue.js and Node.js. Collaborate with UI/UX designers and backend developers to build responsive and scalable front-end and back-end architectures. Develop RESTful and/or GraphQL APIs and integrate with third-party services. Optimize applications for speed and scalability. Implement security and data protection best practices. Troubleshoot, debug and upgrade existing applications. Write clean, maintainable, and efficient code. Participate in code reviews, sprint planning, and architectural discussions. Work in Agile/Scrum development environments and adhere to best development practices. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field. 5+ years of professional experience in web development. Strong proficiency in JavaScript , TypeScript , Vue.js (Vue 2/3) , and Node.js (Express/NestJS) . Experience in building and consuming RESTful APIs and/or GraphQL. Proficient in HTML5, CSS3, SCSS, and responsive web design frameworks (Bootstrap/Tailwind). Experience with databases such as MongoDB , MySQL , or PostgreSQL . Knowledge of authentication and authorization mechanisms (OAuth, JWT). Experience with CI/CD tools and cloud services (e.g., AWS, Azure, or GCP) is a plus. Familiar with version control systems (Git/GitHub/GitLab). Strong problem-solving and communication skills. Nice to Have: Experience with Docker, Kubernetes, or microservices architecture. Familiarity with Agile tools like JIRA, Trello, etc. Prior experience in DevOps or basic server administration.

Job Title: AI/ML Engineer Experience: 3-6 Years Location: Hybrid (Pune) Employment Type: Full-Time Roles & Responsibilities: 1. Model Development & Training Design, train, and fine-tune AI/ML models, especially Generative AI and Large Language Models (LLMs) , to address specific use cases. Build conversational AI solutions and chatbots using frameworks such as LangChain, RAG (Retrieval-Augmented Generation), and Chain-of-Thought (CoT) prompting . Apply advanced techniques, including embeddings, fine-tuning, and custom prompting strategies . Incorporate REACT (Retrieve, Extract, Adapt, Construct, Think) methods to enhance model performance. Develop scalable AI solutions for seamless integration into production environments. 2. Data Handling Manage large-scale datasets for AI/ML applications, ensuring data quality, transformation, and normalization. Conduct data preprocessing, munging, and analysis to extract valuable insights. Implement scalable data engineering workflows for model development and deployment. 3. Cloud AI/ML Deployment Deploy, manage, and optimize AI models on Google Cloud Platform (GCP) (or other platforms like AWS/Azure). Utilize GCP services such as Vertex AI, BigQuery, Cloud Functions, and Dataflow for AI workflows. 4. Collaboration & Solutioning Work with cross-functional teams (product managers, data scientists, and engineers) to deliver AI-driven solutions. Integrate models into client-facing applications ensuring end-to-end implementation. Support scalable development using Docker for containerization (preferred). 5. Continuous Improvement Stay updated with latest advancements in AI/ML and Generative AI frameworks. Proactively learn and apply new tools, libraries, and methodologies to improve processes. 6. Web Scraping (Optional but Preferred) Implement web scraping solutions to gather data from unstructured sources for training and validation. Required Skills & Qualifications: 3–6 years of experience in AI/ML model development, training, and fine-tuning . Strong programming skills in Python and SQL . Hands-on experience with Generative AI, LLMs, and NLP techniques . Experience with LangChain, RAG frameworks, and advanced prompting strategies . Proficiency in CoT prompting, Model Context Protocol (MCP), and Agent-to-Agent (A2A) orchestration . Strong knowledge of embeddings and fine-tuning models for specific tasks. Solid understanding of ML algorithms and statistical analysis . Experience with large datasets and scalable data workflows . Hands-on with GCP (Vertex AI, BigQuery) or equivalent cloud platforms ( AWS/Azure ). Familiarity with Docker for deployment and containerization. Strong skills in data cleaning, transformation, and normalization . Preferred Skills Knowledge of Reinforcement Learning from Human Feedback (RLHF) . Familiarity with REACT frameworks . Experience in web scraping techniques . Key Attributes Strong analytical and problem-solving abilities. Ability to work independently and collaboratively . Excellent communication skills for stakeholder interaction. Proactive in adopting new AI technologies and frameworks .

About Company : They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society. About Client: Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations. Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines. Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries. Job Title: GCP developer Python expert Experience: 5.5 + Years Job Type : Contract to hire. Notice Period:- Immediate joiners. Location : Chennai Job description GCP developer Python expert Proficiency writing code in Python Proven work experience in designing deploying and operating mid to large scale public cloud environments Proven work experience in containerisation via Docker Proven work experience in writing custom terraform Strong knowledge in Github DevOps Tekton GCP Cloud Build is an advantage Should be proficient in scripting and coding that include traditional languages like Python GoLang JS and Nodejs Good to have strong working experience in Virtualisation via Grafana or Kubernetes Experience in package config and deployment management GCP CI CD pipeline Proven working experience in API gateway Apigee is an advantage Proven working experience in API development REST Should have experience with a deep learning framework such as TensorFlow or Keras or NLP Proficiency with Python and basic libraries for machine learning such as scikitlearn and pandas Good to have Knowledge in Text mining classification 11 Knowledge to create code to perform log analyser and create structured data Ability to use different text classification technics ex Naive Bayes ClassifierSentiment Classification Ability to use various ML algorithm supported by MLlib Role Responsibilities Develop machine learning algorithms and tools Select appropriate datasets and data representation methods Create training model as a product like Log Analyzer Classifications textemail Train systems and retrain as necessary Develop and perform machine learning tests casessuits Design automate and manage a highly available and scalable cloud deployment that allows development teams to deploy and run their services Developing and maintaining cloud solutions in accordance with best practices Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security Writing code and configuring middleware components to enable communication and data flow between various systems This includes developing APIs message queues and other middleware services Identifying and resolving issues related to middleware such as communication failures performance bottlenecks or data inconsistencies Mandatory Skills : Flask,Angular,HTML/HTML5,Kafka,Apigee,MySQL,Python,BootStrap/CSS/CSS3,GCP Fundamentals,Django,GKE,TypeScript,Google Cloud Compute Engine,GCP Storage1 Seniority Level Mid-Senior level Industry IT Services and IT Consulting Employment Type Contract Job Functions Business Development Consulting Skills GCP Development Python Machine Learning Flask Fast Api Rest Api HTML MySQL

About Company: Our Client is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. About Client: Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations. Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines. Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries. Job Title : Python Developer Key Skills : Python Developer with GCP, DevOps, Machine Learning Job Locations : Chennai Experience : 5+ Years Education Qualification : Any Graduation Work Mode : Hybrid Employment Type : Contractual Notice Period : Immediate - 10 Days Primary Skills: Proven work experience in designing deploying and operating mid to large scale public cloud environments Proven work experience in containerization via Docker Proven work experience in writing custom terraform Strong knowledge in GitHub DevOps Tekton GCP Cloud Build is an advantage Should be proficient in scripting and coding that include traditional languages like Python GoLang JS and Nodejs Good to have strong working experience in Virtualization via Grafana or Kubernetes Experience in package config and deployment management GCP CI CD pipeline Proven working experience in API gateway Apigee is an advantage Proven working experience in API development REST Should have experience with a deep learning framework such as Tensor Flow or Keras or NLP Proficiency with Python and basic libraries for machine learning such as scikitlearn and pandas Good to have Knowledge in Text mining classification 11 Knowledge to create code to perform log analyser and create structured data Ability to use different text classification technics ex Naïve Bayes Classifier Sentiment Classification Ability to use various ML algorithm supported by MLlib Seniority Level Mid-Senior level Industry IT Services and IT Consulting Employment Type Contract Job Functions Business Development Consulting Skills Python Developer GCP DevOps Machine Learning Docker MLlib Grafana

About Us: Scaninfoga Solutions Pvt. Ltd. is a technology-driven intelligence company specializing in OSINT (Open Source Intelligence), cybercrime investigation, and advanced security solutions. We are building cutting-edge platforms to fight cybercrime and enhance digital investigations. Position: Full Stack Developer Job Description: We are seeking a talented Full Stack Developer with strong expertise in Django, Python, React, and MongoDB. The candidate will be responsible for developing scalable web applications, integrating APIs, managing databases, and delivering high-performance solutions for our investigation and intelligence platforms. Key Responsibilities: Develop, test, and deploy full-stack web applications using Django, Python, React, and MongoDB. Design and implement scalable backend systems, RESTful APIs, and microservices. Build responsive and user-friendly front-end interfaces with React. Optimize performance, security, and scalability of applications. Manage database design, queries, and optimizations in MongoDB. Collaborate with the product, design, and security teams to deliver end-to-end solutions. Stay updated with emerging technologies and integrate best practices. Requirements: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 2–5 years of proven experience as a Full Stack Developer. Strong knowledge of Django Framework and Python. Hands-on experience in React.js for frontend development. Proficiency in MongoDB and database design. Knowledge of API integration, authentication, and security best practices. Familiarity with version control (Git/GitHub). Experience with cloud platforms (AWS, Azure, GCP) is a plus. Problem-solving mindset and ability to work in a fast-paced environment. Why Join Us? Work on real-world cybercrime intelligence and security projects. Collaborative and growth-oriented work environment. Opportunity to innovate with cutting-edge technologies. Competitive compensation and career growth. Apply Now: career@scaninfoga.in