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
Role Overview Location - Gurgaon This opening is for our client company. We’re looking for a Senior Project Manager / Program Manager to lead multiple high-impact AI programs for global aviation clients. This role blends technical program leadership, strategic client engagement, and cross-functional team management to deliver innovation at scale. If you thrive on driving AI projects from concept to delivery, managing complexity, and working with brilliant data scientists, engineers, and aviation experts, this is your runway. Key Responsibilities Lead end-to-end planning, execution, and delivery of multiple AI/ML projects in the aviation domain. Define project scope, objectives, and success criteria in alignment with client requirements and Futops’ strategic goals. Manage multi-disciplinary teams (Data Scientists, AI/ML Engineers, Software Developers, QA, DevOps) to ensure on-time, high-quality delivery. Collaborate with aviation domain experts to ensure solutions meet industry safety, compliance, and operational standards. Oversee resource allocation, risk management, change control , and budget tracking for all projects in the program. Serve as the primary client contact , providing regular updates, resolving escalations, and ensuring high customer satisfaction. Drive agile project management practices , continuous improvement, and team motivation. Coordinate integration of AI solutions with client’s existing aviation systems and infrastructure. Track and report program-level KPIs to senior leadership and stakeholders. Must-Have Skills 10+ years of project/program management experience, with at least 4 years managing AI/ML or data-driven software projects . Proven track record of delivering complex, multi-stakeholder technology programs . Strong understanding of AI/ML development lifecycle , data pipelines, and model deployment. Excellent stakeholder management, communication, and negotiation skills . Experience in budgeting, forecasting, and resource planning for large-scale projects. Familiarity with aviation industry processes, safety standards, and regulations . Nice-to-Have Skills Exposure to aviation-specific AI applications such as predictive maintenance, route optimization, passenger analytics, or airport operations. Knowledge of computer vision, NLP, and edge AI deployments . PMP / PRINCE2 / Agile certifications. Experience working with international aviation clients and multi-time-zone teams. Familiarity with regulatory compliance frameworks in aviation (e.g., FAA, EASA). Tools & Technologies Project Management: Jira, Confluence, MS Project, Trello AI/ML Collaboration: MLflow, Weights & Biases, DataRobot, Jupyter Communication: Slack, MS Teams, Zoom Cloud Platforms: AWS, Azure, GCP (AI/ML services) Version Control & CI/CD: Git, GitHub, GitLab, Jenkins KPIs & Expected Outcomes On-Time Delivery : ≥ 95% of milestones met within agreed timelines. Quality Metrics : Less than 3% post-deployment defects in AI deliverables. Client Satisfaction : Maintain a CSAT score ≥ 4.5/5 across projects. Budget Adherence : ±5% variance from approved budgets. Team Productivity : Achieve ≥ 90% planned sprint completion rate. Innovation Contribution : Drive at least 2 process improvements or solution innovations per quarter.
Role Overview This opening is for our client company located in Gurgaon. We’re looking for a Senior Project Manager / Program Manager to lead multiple high-impact AI programs for global aviation clients. This role blends technical program leadership, strategic client engagement, and cross-functional team management to deliver innovation at scale. If you thrive on driving AI projects from concept to delivery, managing complexity, and working with brilliant data scientists, engineers, and aviation experts, this is your runway. Key Responsibilities Lead end-to-end planning, execution, and delivery of multiple AI/ML projects in the aviation domain. Define project scope, objectives, and success criteria in alignment with client requirements and Futops’ strategic goals. Manage multi-disciplinary teams (Data Scientists, AI/ML Engineers, Software Developers, QA, DevOps) to ensure on-time, high-quality delivery. Collaborate with aviation domain experts to ensure solutions meet industry safety, compliance, and operational standards. Oversee resource allocation, risk management, change control, and budget tracking for all projects in the program. Serve as the primary client contact, providing regular updates, resolving escalations, and ensuring high customer satisfaction. Drive agile project management practices, continuous improvement, and team motivation. Coordinate integration of AI solutions with client’s existing aviation systems and infrastructure. Track and report program-level KPIs to senior leadership and stakeholders. Must-Have Skills 10+ years of project/program management experience, with at least 4 years managing AI/ML or data-driven software projects. Proven track record of delivering complex, multi-stakeholder technology programs. Strong understanding of AI/ML development lifecycle, data pipelines, and model deployment. Excellent stakeholder management, communication, and negotiation skills. Experience in budgeting, forecasting, and resource planning for large-scale projects. Familiarity with aviation industry processes, safety standards, and regulations. Nice-to-Have Skills Exposure to aviation-specific AI applications such as predictive maintenance, route optimization, passenger analytics, or airport operations. Knowledge of computer vision, NLP, and edge AI deployments. PMP / PRINCE2 / Agile certifications. Experience working with international aviation clients and multi-time-zone teams. Familiarity with regulatory compliance frameworks in aviation (e.g., FAA, EASA). Tools & Technologies Project Management: Jira, Confluence, MS Project, Trello AI/ML Collaboration: MLflow, Weights & Biases, DataRobot, Jupyter Communication: Slack, MS Teams, Zoom Cloud Platforms: AWS, Azure, GCP (AI/ML services) Version Control & CI/CD: Git, GitHub, GitLab, Jenkins KPIs & Expected Outcomes On-Time Delivery: ≥ 95% of milestones met within agreed timelines. Quality Metrics: Less than 3% post-deployment defects in AI deliverables. Client Satisfaction: Maintain a CSAT score ≥ 4.5/5 across projects. Budget Adherence: ±5% variance from approved budgets. Team Productivity: Achieve ≥ 90% planned sprint completion rate. Innovation Contribution: Drive at least 2 process improvements or solution innovations per quarter.
As a Senior Project Manager/Program Manager for our client company based in Gurgaon, you will be responsible for leading multiple high-impact AI programs for global aviation clients. Your role will involve a combination of technical program leadership, strategic client engagement, and cross-functional team management to drive innovation at scale. If you enjoy overseeing AI projects from inception to delivery, handling complexity, and collaborating with talented data scientists, engineers, and aviation experts, this opportunity is tailored for you. Your primary responsibilities will include leading the end-to-end planning, execution, and delivery of various AI/ML projects within the aviation domain. You will define project scope, objectives, and success criteria in alignment with client requirements and organizational goals. Managing diverse teams consisting of Data Scientists, AI/ML Engineers, Software Developers, QA, and DevOps professionals to ensure timely and high-quality project delivery will be crucial. Collaboration with aviation domain experts to ensure solutions meet safety, compliance, and operational standards is essential. You will oversee resource allocation, risk management, change control, and budget tracking for all projects under your purview. Acting as the main client interface, you will provide regular updates, address escalations, and uphold high customer satisfaction levels. Implementing agile project management practices, fostering continuous improvement, and motivating the team will be key aspects of your role. Coordinating the integration of AI solutions with clients" existing aviation systems and infrastructure is also part of your responsibilities. Tracking and reporting program-level KPIs to senior leadership and stakeholders will be vital for the success of your projects. For this role, you must possess over 10 years of project/program management experience, with a minimum of 4 years managing AI/ML or data-driven software projects. A strong track record in delivering complex, multi-stakeholder technology programs is required. An in-depth understanding of the AI/ML development lifecycle, data pipelines, and model deployment is essential. Excellent stakeholder management, communication, negotiation skills, as well as experience in budgeting, forecasting, and resource planning for large-scale projects are prerequisites. Familiarity with aviation industry processes, safety standards, and regulations is also necessary. Additionally, exposure to aviation-specific AI applications like predictive maintenance, route optimization, passenger analytics, or airport operations is a plus. Knowledge of computer vision, NLP, and edge AI deployments, along with certifications such as PMP, PRINCE2, or Agile, will be beneficial. Experience working with international aviation clients, multi-time-zone teams, and familiarity with regulatory compliance frameworks in aviation (e.g., FAA, EASA) will add value to your profile. In terms of tools and technologies, proficiency in Project Management tools like Jira, Confluence, MS Project, Trello, AI/ML Collaboration platforms such as MLflow, Weights & Biases, DataRobot, Jupyter, Communication tools like Slack, MS Teams, Zoom, Cloud Platforms including AWS, Azure, GCP (AI/ML services), and Version Control & CI/CD tools like Git, GitHub, GitLab, Jenkins is expected. Your success in this role will be measured by key performance indicators including achieving 95% of milestones within agreed timelines, maintaining less than 3% post-deployment defects in AI deliverables, sustaining a CSAT score of 4.5/5 across projects, adhering to a 5% variance from approved budgets, achieving a 90% planned sprint completion rate, and driving a minimum of 2 process improvements or solution innovations per quarter to contribute to overall innovation within the organization.,