Job Title: Network Lead Engineer Location: Hyderabad Experience: 7–9 years Company: SprintPark About SprintPark At SprintPark, we design and deliver cutting-edge network infrastructure solutions tailored for modern tech startups. From routing and switching to high-availability architectures and cloud-connected security, we build networks that scale fast, stay secure, and never slow innovation. Job Summary We’re seeking a Network Lead Engineer with 7–9 years of hands-on experience in high-growth environments. This role is ideal for a proactive, solutions-driven engineer who thrives in startup culture—comfortable balancing speed, scale, and security. You’ll lead the design and implementation of scalable network systems across hybrid and cloud-native environments, working closely with DevOps, product, and engineering teams to ensure seamless connectivity and top-tier security from day one. What You’ll Do Network Architecture & Design Design and deploy scalable Layer 2/3 networks to support rapidly growing engineering and product needs. Implement high-availability and redundant network topologies to minimize downtime. Architect multi-site and cloud-connected environments (AWS/GCP/Azure). Infrastructure Deployment & Support Lead configuration and day-to-day management of routing (BGP, OSPF, EIGRP) and switching infrastructure. Provide Tier 3+ support and root cause analysis for critical network incidents. Automate routine configurations and monitoring tasks where possible (e.g., using Python, Ansible). Security & Firewall Operations Manage next-gen firewalls (e.g., Palo Alto, Fortinet) and cloud-based security solutions. Conduct security posture reviews, audits, and support pen testing initiatives. Collaborate with DevOps to enforce secure communication across services and environments. Load Balancing & Performance Configure and tune load balancers (e.g., F5, HAProxy, NGINX) to support real-time applications. Monitor traffic patterns and optimize performance to handle peak loads with minimal latency. Monitoring & Documentation Deploy and manage monitoring systems (e.g., Datadog, Prometheus, PRTG). Maintain updated network diagrams, asset inventories, and knowledge base documentation. Provide weekly or ad-hoc reporting for system health, trends, and performance. Leadership & Collaboration Mentor junior engineers and support hiring/network team growth as needed. Collaborate across Engineering, Product, and Security to align infrastructure with business goals. Lead planning and execution of network expansion, upgrades, and migrations. What You Bring 7–9 years of experience in enterprise or fast-scaling startup network environments. Deep understanding of core networking (TCP/IP, DNS, DHCP, VLANs, STP, QoS, VPNs). Strong expertise in Cisco, Juniper, Fortinet, or equivalent platforms. Hands-on experience with firewalls, load balancers, and cloud networking. Familiarity with automation tools and scripting (Ansible, Terraform, Python). Cloud networking experience a plus (VPC peering, transit gateways, hybrid cloud). Certifications such as CCNP, JNCIP, or equivalent are a strong plus. Comfortable working in fast-paced, evolving environments with limited structure. Why Join SprintPark Be part of building foundational infrastructure for innovative startups. Flexible, hybrid/remote-friendly environment. Collaborative, engineering-driven culture. Access to the latest tech stack, tools, and learning opportunities. Opportunities to lead and shape critical infrastructure decisions. Job Type: Fresher Pay: ₹478,835.88 - ₹1,522,373.51 per year Schedule: Day shift Work Location: In person

AI Specialist / Machine Learning Engineer Location: On-site (hyderabad) Department: Data Science & AI Innovation Experience Level: Mid–Senior Reports To: Director of AI / CTO Employment Type: Full-time Job Summary We are seeking a skilled and forward-thinking AI Specialist to join our advanced technology team. In this role, you will lead the design, development, and deployment of cutting-edge AI/ML solutions, including large language models (LLMs), multimodal systems, and generative AI. You will collaborate with cross-functional teams to develop intelligent systems, automate complex workflows, and unlock insights from data at scale. Key Responsibilities Design and implement machine learning models for natural language processing (NLP), computer vision, predictive analytics, and generative AI. Fine-tune and deploy LLMs using frameworks such as Hugging Face Transformers, OpenAI APIs, and Anthropic Claude. Develop Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, and vector databases (e.g., Pinecone, Weaviate, Qdrant). Productionize ML workflows using MLflow, TensorFlow Extended (TFX), or AWS SageMaker Pipelines. Integrate generative AI with business applications, including Copilot-style features, chat interfaces, and workflow automation. Collaborate with data scientists, software engineers, and product managers to build and scale AI-powered products. Monitor, evaluate, and optimize model performance, focusing on fairness, explainability (e.g., SHAP, LIME), and data/model drift. Stay informed on cutting-edge AI research (e.g., NeurIPS, ICLR, arXiv) and evaluate its applicability to business challenges. Tools & Technologies Languages & Frameworks Python, PyTorch, TensorFlow, JAX FastAPI, LangChain, LlamaIndex ML & AI Platforms OpenAI (GPT-4/4o), Anthropic Claude, Mistral, Cohere Hugging Face Hub & Transformers Google Vertex AI, AWS SageMaker, Azure ML Data & Deployment MLflow, DVC, Apache Airflow, Ray Docker, Kubernetes, RESTful APIs, GraphQL Snowflake, BigQuery, Delta Lake Vector Databases & RAG Tools Pinecone, Weaviate, Qdrant, FAISS ChromaDB, Milvus Generative & Multimodal AI DALL·E, Sora, Midjourney, Runway Whisper, CLIP, SAM (Segment Anything Model) Qualifications Bachelor’s or Master’s in Computer Science, AI, Data Science, or related discipline 3–7 years of experience in machine learning or applied AI Hands-on experience deploying ML models to production environments Familiarity with LLM prompt engineering and fine-tuning Strong analytical thinking, problem-solving ability, and communication skills Preferred Qualifications Contributions to open-source AI projects or academic publications Experience with multi-agent frameworks (e.g., AutoGPT, OpenDevin) Knowledge of synthetic data generation and augmentation techniques Job Type: Permanent Pay: ₹734,802.74 - ₹1,663,085.14 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person