Job Title: Mid-Level Data Scientist / AI-ML EngineerLocation: On-site, HyderabadExperience: 4+ years of relevant experience Job Summary: We are looking for Data Scientist to join our team in Hyderabad. This role is ideal for candidates with 4+ year of experience with strong ML, GenAI and cloud skills. Must Have Skills:Experience with GenAIworking with LLMs like Llama, Mistral, Deep seek and GPTsopen source GenAI tools like flowise/langflowKnowledge graphs like Neo4j, LangChainSolid grasp of machine learning algorithms and Model deploymentRestAPIs, microservices (eg: FastAPI, Flask and Streamlit)Experience with AWS, GCP, Azure (S3, Lambda, Sage Maker, Bedrock or Vertex AI)Containerization (Docker) and CI/CD basicsSQL + NoSQL databasesData preprocessing & ETL pipelinesAgentic AI, MLOps, Prompt engineering and RAG pipelinesGit,Vector DBs (Pinecone, FAISS and ChromaDB)Experience integrating LLMs into applications etc.

Job Title: Technical Sales Support Executive Location: Hyderabad Job Type: Consultant(Contract to Hire) Experience Required: 4+ years of experience Education: MBA (Marketing/Strategy/Technology Management preferred) + B.Tech/B.E. in Computer Science or related field About the Role: We are looking for a dynamic, tech-savvy MBA graduate to join our pre-sales and customer-facing product team. This role is ideal for someone with a strong technical foundation and excellent communication skills who enjoys engaging with customers, understanding their needs, and showcasing how our solutions can solve real-world challenges. Key Responsibilities: Collaborate with the sales and product teams to understand customer requirements and deliver tailored product demonstrations. Conduct engaging and persuasive demos for prospective clients, both online and in person. Support the pre-sales lifecycle including technical qualification, solutioning, and proof of concept setup. Translate complex technical features into easy-to-understand business value. Participate in RFP responses, solution documents, and technical proposals. Collect feedback during customer interactions and relay insights to the product and engineering teams. Maintain up-to-date knowledge of product capabilities, roadmap, and competitor landscape. Required Skills: Strong technical understanding. Excellent verbal and written communication skills. Confident presenter with strong interpersonal skills. Analytical thinking with a customer-first mindset. Quick learner with curiosity about SaaS, Cloud, AI, or emerging technologies. Proficient in MS PowerPoint, Excel, and demo environments. Ability to work collaboratively in a fast-paced, cross-functional environment. Preferred Qualifications: Internship or prior experience in pre-sales, customer success, product management, or business consulting. Exposure to tools like Salesforce, HubSpot, or demo automation platforms. Understanding of cloud platforms (AWS, Azure, GCP) or modern web applications is a plus.

Company Description Eficens Systems provides cutting-edge technology solutions across diverse sectors, including cognitive computing, advanced data engineering, composable and distributed business services, Cloud and Edge computing, Web 3.0, Blockchain, Digital Adoption, and Cyber Security and Zero Trust. Headquartered in Suwanee, Georgia, Eficens has a global presence with 15 offices in the U.S. and several international locations. Our commitment is to deliver customized solutions that empower our clients to transform their operations and achieve business growth. Role Description This is a full-time hybrid role for a Cloud Architect based in Hyderabad, India, with some work from home acceptable. The Cloud Architect will be responsible for designing, developing, and implementing cloud-based solutions. Daily tasks include creating solution architectures, managing infrastructures, integrating various software systems, and ensuring efficient architecture design. The Cloud Architect will also collaborate with other teams to ensure seamless software development and integration processes. Qualifications Proficiency in Solution Architecture and Integration skills 4-6 years of experience in Infrastructure management and Architecture design Strong Software Development skills Excellent problem-solving abilities and strong analytical skills Effective communication and teamwork skills Relevant certifications in cloud technologies are a plus Bachelor's degree in Computer Science, Information Technology, or related field

Job Title: AI/ML Engineer Location : Hyderabad Onsite Experience : 5+ years Role Overview We are hiring a Mid-Level AI/ML Engineer with 5+ years of experience in designing, developing, and deploying AI/ML solutions. The role involves integrating LLMs , Agentic AI , RAG pipelines , and anomaly detection into cloud/on-prem platforms, enabling natural language interfaces and intelligent automation. Candidates must be hands-on with Python ML stack, own MLOps lifecycle, and be capable of translating cybersecurity problems into scalable ML solutions. Key Responsibilities LLM & Chatbot Integration : Build conversational AI using LLMs with context-awareness, domain adaptation, and natural language interaction. Retrieval-Augmented Generation (RAG) : Implement vector search with semantic retrieval to ground LLM responses with internal data. Agentic AI : Create autonomous agents to execute multi-step actions using APIs, tools, or reasoning chains for automated workflows. Anomaly Detection & UEBA : Develop ML models for user behaviour analytics, threat detection, and alert tuning. NLP & Insights Generation : Transform user queries into actionable security insights, reports, and policy recommendations. MLOps Ownership : Manage end-to-end model lifecycle – training, validation, deployment, monitoring, versioning. Required Skills Strong Python experience with ML frameworks: TensorFlow, PyTorch, scikit-learn . Hands-on with LLMs (OpenAI, HuggingFace, etc.), prompt engineering, fine-tuning, and inference optimization. Experience implementing RAG using FAISS , Pinecone , or similar. Familiarity with LangChain , agentic frameworks , and multi-agent orchestration. Solid understanding of MLOps : Docker, CI/CD, deployment on cloud/on-prem infra. Security-conscious development practices and ability to work with structured/unstructured security data. Preferred Bachelor’s degree in computer science and more preferably Data Science or AI related fields. Experience with cybersecurity use cases: CVE analysis, behaviour analytics, compliance, log processing. Knowledge of open-source LLMs (LLaMA, Mistral, etc.) and cost-efficient deployment methods. Background in chatbots, Rasa, or custom NLP-driven assistants. Exposure to agent tools (LangChain Agents, AutoGPT-style flows) and plugin integration.