We are looking for a proactive HR Intern to support our HR team, primarily focusing on recruitment and contributing to HR operations and employee engagement . This internship offers valuable experience in end-to-end hiring processes, HR coordination, and people operations. Key Responsibilities Recruitment Sourcing and screening resumes and application forms from various platforms. Schedule interviews and coordinate with candidates and hiring managers. Post job openings on careers pages, job boards, and social media. Support in conducting initial HR rounds and collecting candidate feedback. Maintain and update the applicant tracking system (ATS) and hiring dashboards. Assist in drafting job descriptions and other recruitment materials. HR Operations Coordinate new hire. Help organize company events, engagement activities, and career days. Address basic employee queries regarding HR policies, benefits, and documentation. Provide support in executing people engagement initiatives and internal communication. Assist in updating and improving HR policies and procedures. Maintain organized employee records and documents. Requirements Pursuing or completed Bachelors degree in Human Resource Management or a related field. Interest in recruitment and HR operations. Strong verbal and written communication skills. Ability to manage multiple tasks with attention to detail. Familiarity with Microsoft Office / Google Workspace (Docs, Sheets, Forms). Energetic, proactive, and willing to learn. Strong interpersonal skills and a collaborative mindset. Admin-related task. What you'll Gain Hands-on experience in recruitment and HR operations. Exposure to HR tools, systems, and real-world hiring cycles. Opportunities to contribute to people initiatives and company culture.

We re Hiring: Freelance Digital Marketing & Content Strategist Remote | AI/LLM | ITMS | Site Shield About Futops: Futops Technologies is a fast-growing tech company innovating in AI, GenAI, Computer Vision, and Smart Infrastructure. Our flagship products ITMS (Intelligent Traffic Management System) and Site Shield (AI-based perimeter security) are transforming how cities manage traffic and how enterprises secure their operations. We re now looking to amplify our digital voice and boost market visibility and that s where you come in! Role Overview: We re seeking a freelance digital marketing & content strategist to craft engaging content, sharpen our brand presence, and drive visibility across LinkedIn, X (Twitter), and our website. What You ll Do: Develop monthly content strategies aligned with business goals Create 6-8 high-impact content pieces/month (posts, microblogs, infographics) Recommend platform usage, hashtags, timing, and optimization tips Collaborate with tech teams for product accuracy Track performance & continuously improve engagement What We re Looking For: 4+ years in B2B marketing (AI/ML, SaaS, or deep-tech preferred) Strong storytelling & visual content skills Familiar with SEO, LinkedIn strategy, and performance tracking Self-driven, creative, and detail-oriented Trial Task (Mandatory for Shortlisting): Create a LinkedIn post (150-300 words) + visual concept idea for any one of: ITMS (AI-based Traffic Management) Site Shield (AI-based Perimeter Surveillance) LLM-powered enterprise automation Submit your draft in PDF or Word (Canva links welcome!). Engagement Details: Type: Freelance (Remote) Duration: Long-term (starts with 1-month trial) Perks: Performance-based bonus for high-impact campaigns Why Join Futops? You ll work with a visionary team solving real-world problems at scale from AI-led traffic control to automation in enterprises. Your content will shape how deep-tech is seen across India and beyond.

Job Title: Generative AI Lead Location: Kharadi, Pune, India Experience: 4+ years (with 3+ years in AI/ML and 1+ years in GenAI) Job Type: Full-Time Mode: WFO Workdays: Monday to Friday Shift: Standard day shift Department: AI/ML About the Role: We are seeking a visionary and hands-on Generative AI Lead to drive our AI innovation strategy and implementation. This role involves leading GenAI projects from ideation to deployment, collaborating across teams, and building intelligent solutions that transform user experiences, workflows, and product capabilities. As a GenAI Lead, you will play a key role in architecting and deploying advanced AI models, especially in the fields of NLP, LLMs, and multimodal AI. Key Responsibilities: Lead the design, development, and deployment of generative AI solutions using LLMs, diffusion models, transformers, and other state-of-the-art techniques. Manage a team of AI/ML engineers and data scientists to deliver scalable and secure GenAI applications. Evaluate and fine-tune open-source and proprietary large language models (e.g., GPT, LLaMA, Mistral, Claude). Collaborate with product managers, engineers, and stakeholders to identify high-impact use cases. Integrate GenAI models into production systems ensuring efficiency, fairness, and reliability. Conduct POCs and prototypes for internal and client-facing solutions. Stay up to date with the latest research and advancements in generative AI and related fields. Ensure adherence to AI governance, ethics, and data privacy standards. Required Skills & Qualifications: Bachelors/Master s/PhD in Computer Science, AI, Data Science, or a related field. Strong programming skills in Python and ML frameworks like TensorFlow, PyTorch. Proven experience with LLMs (OpenAI, Hugging Face, Anthropic, etc.) and prompt engineering. Hands-on experience in fine-tuning models and building GenAI pipelines. Knowledge of RAG, LangChain, Vector Databases (e.g., FAISS, Pinecone), and APIs. Strong understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices. Experience with model evaluation, interpretability, and optimization. Strong problem-solving and communication skills. Preferred: Experience in deploying GenAI solutions. Exposure to multimodal AI (text + image/audio). Contribution to open-source GenAI projects or published research papers. What We Offer: Opportunity to lead impactful, cutting-edge AI initiatives Competitive compensation and benefits A collaborative and innovation-driven culture Access to latest tools and GPU resources

Job Title: AI/ML Engineer Python (LLM, RAG, LangChain, LlamaIndex) Location: Pune Experience: 1-2 Years Employment Type: Full-time Working Mode : Work from office Working Day : Monday to Friday About the Role: We are looking for a highly skilled AI/ML Engineer with strong Python expertise and hands-on experience in developing LLM-based applications. The ideal candidate should be proficient with Retrieval-Augmented Generation (RAG), LangChain, and LlamaIndex, and be passionate about building cutting-edge AI systems that combine machine learning with advanced language models. Key Responsibilities: Design, develop, and deploy LLM-powered applications using frameworks like LangChain and LlamaIndex . Implement and optimize RAG pipelines to enable efficient and scalable retrieval and generation workflows. Fine-tune and integrate large language models (LLMs) such as GPT, LLaMA, Mistral , etc. Build and maintain vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and context augmentation. Work with unstructured data (documents, PDFs, web data) to extract and process meaningful content for use in AI applications. Collaborate with data scientists, product teams, and backend engineers to deploy AI features into scalable production systems. Monitor performance of deployed models and pipelines; continuously improve based on feedback and usage analytics. Stay updated with the latest developments in generative AI, prompt engineering, and open-source LLM tools. Required Skills & Experience: 1+ years of hands-on experience in Python development for AI/ML applications. Solid understanding of large language models , prompt engineering, and model fine-tuning. Proficient with LangChain and LlamaIndex for building composable LLM workflows. Experience building RAG systems , including retrieval, chunking, embedding, and context injection. Familiarity with vector stores such as FAISS, Chroma, Weaviate, or Pinecone. Experience with Hugging Face Transformers , OpenAI, or similar model providers. Good understanding of REST APIs , microservices architecture, and deploying AI services in production. Nice to Have: Exposure to cloud platforms (AWS, Azure, or GCP) and managed AI/ML services. Experience with LangGraph , AutoGen , or similar agent orchestration frameworks. Working knowledge of MLOps tools like MLflow, DVC, or Kubeflow. Understanding of data privacy , security , and ethical AI principles. Computer Vision Qualification: BE/Btech/MCA/MSC Benefits : Work with state-of-the-art AI and LLM technologies Access to training, certifications, and conferences in AI/ML Collaborative and innovative work culture