💼 Job Title: Technical Recruiter 📍 Location: Film Nagar, Hyderabad (Onsite) 🕒 Timings: 6:00 PM to 3:00 AM IST (US Shift) 🏢 Company: Stier Solutions Inc. 🗓️ Experience Required: 2+ Years 💰 Compensation: Attractive Salary + Recurring Incentives 🎯 Key Responsibilities: End-to-end recruitment for IT roles across various domains and technologies Source and screen candidates using job portals like Dice, Monster, LinkedIn, and internal ATS (CEIPAL) Work closely with Prime Vendors and manage direct client submissions Coordinate interviews and follow up with candidates until closure Build a strong pipeline of qualified candidates for both immediate and future needs Maintain candidate and submission records accurately using CEIPAL Ensure strong communication and positive experience throughout the recruitment process. ✅ Required Skills & Qualifications: Minimum 2 years of experience in IT recruitment (US Staffing) Strong communication and interpersonal skills Ability to work with Prime Vendors and submit skilled candidates effectively Experience working on C2C, W2, and Full-Time requirements Familiarity with CEIPAL or other ATS tools Must be target-driven, energetic, and a team player

Job Title: Junior Data Engineer Company: Stier Solutions Duration: Full-Time Location: India (Remote) Notice Period: Immediate or within 15 days Experience: 0–2 years About the Role: We are hiring a Junior Data Engineer to join our growing data team. This role is ideal for recent graduates or early-career professionals who want to gain hands-on experience in building and maintaining data pipelines, working with cloud technologies, and supporting real-time data analytics projects. Key Responsibilities: Assist in building and maintaining reliable ETL/data pipelines Work with structured and unstructured data from various sources Write SQL queries and Python scripts for data transformation and processing Support cloud-based data infrastructure (e.g., GCP, AWS, Azure) Help integrate data from different platforms and systems Monitor pipeline performance and troubleshoot data issues Collaborate with analysts, engineers, and business teams to understand data needs Maintain technical documentation of data workflows and processes Ensure data accuracy, quality, and consistency Required Skills: Bachelor’s degree in Computer Science, IT, Engineering, or related field Basic knowledge of SQL and Python Familiarity with data formats like CSV, JSON, Parquet Understanding of databases and data structures Exposure to cloud platforms such as Google Cloud, AWS, or Azure Strong problem-solving and analytical skills Good communication and team collaboration skills

Sr/Lead ML Engineer Placement type (FTE/C/CTH): C/CTH Duration : 6 month with extension Location: Phoenix AZ, must be onsite 5 days a week Start Date: 2 weeks from the offer Interview Process One and done Reason for position Integration ML to the Observability Grafana platform Team Overview Onshore and offshore Project Description AI/ML for Observability (AIOps) Developed machine learning and deep learning solutions for observability data to enhance IT operations. Implemented time series forecasting, anomaly detection, and event correlation models. Integrated LLMs using prompt engineering, fine-tuning, and RAG for incident summarization. Built MCP client-server architecture for seamless integration with the Grafana ecosystem. Duties/Day to Day Overview Machine Learning & Model Development Design and develop ML/DL models for: Time series forecasting (e.g., system load, CPU/memory usage) Anomaly detection in logs, metrics, or traces Event classification and correlation to reduce alert noise Select, train, and tune models using frameworks like TensorFlow, PyTorch, or scikit-learn Evaluate model performance using metrics like precision, recall, F1-score, and AUC ML Pipeline Engineering Build scalable data pipelines for training and inference (batch or streaming) Preprocess large observability datasets from tools like Prometheus, Kafka, or BigQuery Deploy models using cloud-native services (e.g., GCP Vertex AI, Azure ML, Docker/Kubernetes) Maintain retraining pipelines and monitor for model drift LLM Integration for Observability Intelligence Implement LLM-based workflows for summarizing incidents or logs Develop and refine prompts for GPT, LLaMA, or other large language models Integrate Retrieval-Augmented Generation (RAG) with vector databases (e.g., FAISS, Pinecone) Control latency, hallucinations, and cost in production LLM pipelines Grafana & MCP Ecosystem Integration Build or extend MCP client/server components for Grafana Surface ML model outputs (e.g., anomaly scores, predictions) in observability dashboards Collaborate with observability engineers to integrate ML insights into existing monitoring tools Collaboration & Agile Delivery Participate in daily stand-ups, sprint planning, and retrospectives Collaborate with: Data engineers on pipeline performance and data ingestion Frontend developers for real-time data visualizations SRE and DevOps teams for alert tuning and feedback loop integration Translate model outputs into actionable insights for platform teams Testing, Documentation & Version Control Write unit, integration, and regression tests for ML code and pipelines Maintain documentation on models, data sources, assumptions, and APIs Use Git, CI/CD pipelines, and model versioning tools (e.g., MLflow, DVC) Top Requirements (Must haves) AI ML Engineer Skills Design and develop machine learning algorithms and deep learning applications and systems for Observability data (AIOps) Hands on experience in Time series forecasting/prediction, anomaly detection ML algorithms Hands on experience in event classification and correlation ML algorithms Hands on experience on integrating with LLMs with prompt/fine-tuning/rag for effective summarization Working knowledge on implementing MCP client and server for Grafana Eco-system or similar exposure Key Skills: Programming languages: Python, R ML Frameworks: TensorFlow, PyTorch, scikit-learn Cloud platforms: Google Cloud, Azure Front-End Frameworks/Libraries: Experience with frameworks like React, Angular, or Vue.js, and libraries like jQuery. Design Tools: Proficiency in design software like Figma, Adobe XD, or Sketch. Databases: Knowledge of database technologies like MySQL, MongoDB, or PostgreSQL. Server-Side Languages: Familiarity with server-side languages like Python, Node.js, or Java. Version Control: Experience with Git and other version control systems. Testing: Knowledge of testing frameworks and methodologies. Agile Development: Experience with agile development methodologies. Communication and Collaboration: Strong communication and collaboration skills. Experience: Lead – 10 to 12 Years (Onshore and Offshore). Developers - 6 to 8 Years for Engineers

Job Title: Junior Software Engineer Job Type: Full-Time Experience: 0–2 Years Location: India [ Remote / Hybrid] Notice Period: Immediate Joiners Preferred We are looking for a motivated and detail-oriented Junior Software Engineer to join our growing development team. This entry-level position is ideal for recent graduates or individuals with 0–2 years of experience who are passionate about coding, eager to learn, and excited to work on real-world projects. Responsibilities: Assist in designing, coding, testing, and debugging software applications. Collaborate with senior developers, designers, and QA teams in an agile environment. Maintain and improve existing codebases and peer-review code changes. Participate in daily stand-ups and sprint planning meetings. Learn and apply best practices in software development, version control, and documentation. Troubleshoot issues and provide solutions under guidance. Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field. Solid understanding of programming fundamentals (OOP, data structures, algorithms). Proficiency in one or more programming languages (e.g., Java, Python, C#, JavaScript). Familiarity with databases (SQL/NoSQL) and web development basics. Understanding of software development lifecycle (SDLC). Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills.