1702 Fastapi Jobs - Page 50

Job description 🚀 Job Title: ML Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the ML Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in / vishnu.sethi@cur8.in Subject Line: Application – ML Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

Head of AI & ML Platforms Focus : Voice AI, NLP, Conversation Intelligence for Omnichannel Enterprise Sales Location : Sector 63, Gurugram, Haryana — Full-time, 100% In-Office Work Hours : 10:30 AM – 8:00 PM, Monday to Friday (2nd and 4th Saturdays off) Experience Required : 8–15 years in AI/ML, with 3+ years leading teams in voice, NLP, or conversation platforms Apply : careers@darwix.ai Subject Line : “Application – Head of AI & ML Platforms – [Your Name]” About Darwix AI Darwix AI is a GenAI-powered platform for enterprise revenue teams across sales, support, credit, and retail. Our proprietary AI stack ingests multimodal inputs—voice calls, chat logs, emails, and CCTV streams—and delivers contextual nudges, conversation scoring, and performance analytics in real time. Our suite of products includes: Transform+ : Real-time conversational intelligence for contact centers and field sales Sherpa.ai : A multilingual GenAI assistant that provides in-the-moment coaching, summaries, and objection handling support Store Intel : A computer vision solution that transforms CCTV feeds into actionable insights for physical retail spaces Darwix AI is trusted by large enterprises such as IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar, and Sobha Realty , and is backed by leading institutional and operator investors. We are expanding rapidly across India, the Middle East, and Southeast Asia. Role Overview We are seeking a highly experienced and technically strong Head of AI & ML Platforms to architect and lead the end-to-end AI systems powering our voice intelligence, NLP, and GenAI solutions. This is a leadership role that blends research depth with applied engineering execution. The ideal candidate will have deep experience in building and deploying voice-to-text pipelines, multilingual NLP systems, and production-grade inference workflows. The individual will be responsible for model design, accuracy benchmarking, latency optimization, infrastructure orchestration, and integration across our product suite. This is a critical leadership role with direct influence over product velocity, enterprise client outcomes, and future platform scalability. Key ResponsibilitiesVoice-to-Text (ASR) Architecture Lead the design and optimization of large-scale automatic speech recognition (ASR) pipelines using open-source and commercial frameworks (e.g., WhisperX, Deepgram, AWS Transcribe) Enhance speaker diarization, custom vocabulary accuracy, and latency performance for real-time streaming scenarios Build fallback ASR workflows for offline and batch mode processing Implement multilingual and domain-specific tuning, especially for Indian and GCC languages Natural Language Processing and Conversation Analysis Build NLP models for conversation segmentation, intent detection, tone/sentiment analysis, and call scoring Implement multilingual support (Hindi, Arabic, Tamil, etc.) with fallback strategies for mixed-language and dialectal inputs Develop robust algorithms for real-time classification of sales behaviors (e.g., probing, pitching, objection handling) Train and fine-tune transformer-based models (e.g., BERT, RoBERTa, DeBERTa) and sentence embedding models for text analytics GenAI and LLM Integration Design modular GenAI pipelines for nudging, summarization, and response generation using tools like LangChain, LlamaIndex, and OpenAI APIs Implement retrieval-augmented generation (RAG) architectures for contextual, accurate, and hallucination-resistant outputs Build prompt orchestration frameworks that support real-time sales coaching across channels Ensure safety, reliability, and performance of LLM-driven outputs across use cases Infrastructure and Deployment Lead the development of scalable, secure, and low-latency AI services deployed via FastAPI, TorchServe, or similar frameworks Oversee model versioning, monitoring, and retraining workflows using MLflow, DVC, or other MLOps tools Build hybrid inference systems for batch, real-time, and edge scenarios depending on product usage Optimize inference pipelines for GPU/CPU balance, resource scheduling, and runtime efficiency Team Leadership and Cross-functional Collaboration Recruit, manage, and mentor a team of machine learning engineers and research scientists Collaborate closely with Product, Engineering, and Customer Success to translate product requirements into AI features Own AI roadmap planning, sprint delivery, and KPI measurement Serve as the subject-matter expert for AI-related client discussions, sales demos, and enterprise implementation roadmaps Required Qualifications 8+ years of experience in AI/ML with a minimum of 3 years in voice AI, NLP, or conversational platforms Proven experience delivering production-grade ASR or NLP systems at scale Deep familiarity with Python, PyTorch, HuggingFace, FastAPI, and containerized environments (Docker/Kubernetes) Expertise in fine-tuning LLMs and building multi-language, multi-modal intelligence stacks Demonstrated experience with tools such as WhisperX, Deepgram, Azure Speech, LangChain, MLflow, or Triton Inference Server Experience deploying real-time or near real-time inference models at enterprise scale Strong architectural thinking with the ability to design modular, reusable, and scalable ML services Track record of building and leading high-performing ML teams Preferred Skills Background in telecom, contact center AI, conversational analytics, or field sales optimization Familiarity with GPU deployment, model quantization, and inference optimization Experience with low-resource languages and multilingual data augmentation Understanding of sales enablement workflows and domain-specific ontology development Experience integrating AI models into customer-facing SaaS dashboards and APIs Success Metrics Transcription accuracy improvement by ≥15% across core languages within 6 months End-to-end voice-to-nudge latency reduced below 5 seconds GenAI assistant adoption across 70%+ of eligible conversations AI-driven call scoring rolled out across 100% of Tier 1 clients within 9 months Model deployment velocity (dev to prod) reduced by ≥40% through tooling and process improvements Culture at Darwix AI At Darwix AI, we operate at the intersection of engineering velocity and product clarity. We move fast, prioritize outcomes over optics, and expect leaders to drive hands-on impact. You will work directly with the founding team and senior leaders across engineering, product, and GTM functions. Expect ownership, direct communication, and a culture that values builders who scale systems, people, and strategy. Compensation and Benefits Competitive fixed compensation Performance-based bonuses and growth-linked incentives ESOP eligibility for leadership candidates Access to GPU/compute credits and model experimentation infrastructure Comprehensive medical insurance and wellness programs Dedicated learning and development budget for technical and leadership upskilling MacBook Pro, premium workstation, and access to industry tooling licenses Career Progression 12-month roadmap: Build and stabilize AI platform across all product lines 18–24-month horizon: Elevate to VP of AI or Chief AI Officer as platform scale increases globally Future leadership role in enabling new verticals (e.g., healthcare, finance, logistics) with domain-specific GenAI solutions How to Apply Send the following to careers@darwix.ai : Updated CV (PDF format) A short statement (200 words max) on: “How would you design a multilingual voice-to-text pipeline optimized for low-resource Indic languages, with real-time nudge delivery?” Links to any relevant GitHub repos, publications, or deployed projects (optional) Subject Line : “Application – Head of AI & ML Platforms – [Your Name]” Show more Show less

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Bangalore, India Productivity Engineering is a team at LinkedIn that builds products that power LinkedIn’s business. We drive technology vision, architecture, and design systems that help the company deliver major business processes (talent acquisitions, sales, finance, and customer support etc.). We deliver applications and products that let our customers do business with us in a seamless way, help grow our top line, and increase our efficiency. As a part of the Talent Productivity Engineering team, you will be building out custom web solutions and integrations that LinkedIn employees don’t just use, but love. This is an innovative team working with various parties involved in the candidate and employee journeys. Our work directly impacts the way LinkedIn hires, develops, and engages the best talent across the globe. As a Staff Software Engineer, you will lead the design and deployment of intelligent, AI-powered integration solutions across LinkedIn’s enterprise ecosystem. This role combines deep cloud engineering, modern software development, and applied AI to build systems that automate, predict, and accelerate business processes. You'll architect scalable services that harness the power of Generative AI, Agentic AI, and cloud-native frameworks to connect enterprise systems and deliver meaningful insights and automation across platform Responsibilities: - Architect and build intelligent integration frameworks and backend services leveraging AI models (OpenAI, custom LLMs, ML pipelines) and Azure services (APIM, Function Apps, Event Hubs, Azure SQL). - Design and operationalize AI-first solutions that process, enrich, and serve enterprise data at scale. - Design & Develop complex, enterprise-grade integration and AI solutions using open-source frameworks, Azure services (e.g., APIM, Function Apps, Event Hubs, Azure SQL), and AI services including OpenAI. - Own end-to-end service lifecycle—design, development, deployment, observability, and iteration. - Implement and expose AI capabilities through APIs and microservices that integrate with internal applications and SaaS platforms, ensuring optimal performance and seamless functionality. - Collaborate with engineers, AI researchers, product managers, and UX designers to translate business problems into scalable AI-powered services. - Lead technical reviews, architecture decisions, and AI integration patterns across teams. - Stay ahead of trends in Generative AI, Agentic AI, and MLOps; continuously identify opportunities to embed intelligence into systems. - Drive quality through test automation frameworks, CI/CD pipelines, and performance engineering. - Document and evangelize best practices for secure, ethical, and responsible use of AI in enterprise environments. Basic Qualifications: - 9+ years of software engineering experience in backend or systems integration roles. - BS in Computer Science, Engineering, or equivalent. - Proficiency in Python (or Java) for backend development and AI integration. - Hands-on experience designing and deploying REST APIs, event-driven architectures, and microservices using cloud platforms (Azure, AWS, GCP). - Good experience in building production-grade frontend applications using React and JavaScript, with attention to design systems, performance, and accessibility. - Good experience with AI technologies (e.g., OpenAI, Hugging Face, LangChain) and AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn). - Prior experience in Generative AI and Agentic AI. - Skilled in relational and non-relational data systems (PostgreSQL, - - - - MySQL, Azure SQL, NoSQL), ETL pipelines, and data modeling. - Experience with test frameworks (e.g., Pytest), version control (Git), CI/CD (Jenkins), and containerization (Docker, Kubernetes). Preferred Qualifications: - Highly self-driven, execution-focused, with a willingness to do “what it takes” to deliver results as you will be expected to rapidly cover a considerable amount of ground. - Prior experience integrating AI into enterprise workflows—e.g., chatbots, intelligent agents, AI-enhanced APIs. - Familiarity with MLOps tools and infrastructure-as-code (Terraform, Ansible). - Experience with Workday, SAP, or other ERP/HR systems. - Workday integration experience a plus - Exposure to edge computing, IoT, or real-time AI decision engines. - Track record of mentoring teams, driving engineering culture, and influencing strategic architecture decisions. - Good written and verbal communication, with a passion for innovation and continuous learning. - Challenges the status quo, fosters an innovative culture, and continuously learns new digital tools and methodologies Suggested Skill: • Python, Java, REST APIs, Web Services, Django/Flask/FastAPI • OpenAI, LangChain, Hugging Face, TensorFlow, PyTorch, Scikit-Learn, Responsible AI principles • Azure (APIM, Functions, Event Hubs), AWS, GCP, Docker, Kubernetes, Terraform, Jenkins, Git • SQL/NoSQL, ETL Pipelines, Azure SQL, PostgreSQL, MySQL • JavaScript, React • Microservices, Event-Driven Systems, MLOps, CI/CD, Observability India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal Show more Show less

Job Title: Senior Python Developer Location: Chennai (5 Days Onsite) Experience: 5+ Years Job Type: Full-Time About the Role: We are looking for a highly skilled Senior Python Developer to join our growing team in Chennai . This is a full-time onsite role for professionals who are passionate about building scalable and high-performance web applications. The ideal candidate will have strong experience in Python development , with hands-on expertise in FastAPI and AWS . Preference will be given to candidates with a product development background and experience in web application development . Key Responsibilities: Design, develop, and maintain robust backend services using Python and FastAPI Architect scalable and secure cloud-native solutions on AWS Work closely with frontend engineers, designers, and product managers to deliver high-quality software Optimize application performance and scalability Participate in code reviews and contribute to best practices Troubleshoot, debug, and upgrade existing systems Ensure security and data protection in applications Write clean, maintainable, and well-documented code Required Skills: 5+ years of hands-on experience in Python backend development Strong experience with FastAPI , including building RESTful APIs Solid understanding of AWS services such as EC2, S3, Lambda, RDS, etc. Experience in web application development and a good understanding of frontend-backend integration Familiarity with containerization tools like Docker and orchestration tools like Kubernetes (nice to have) Strong knowledge of software development best practices, design patterns, and agile methodologies Good understanding of databases (SQL and NoSQL) Excellent problem-solving skills and attention to detail Preferred Qualifications: Prior experience working in product-based companies Background in building and scaling web-based SaaS applications Experience with CI/CD pipelines and DevOps practices Show more Show less

Profile - Lead Python Developer Experience - 7+ years Location - Ahmedabad Office Work from Office Key Responsibilities: - Lead and mentor a team of Python developers, fostering a culture of continuous improvement, accountability, and high-quality engineering. - Own the architecture, design, and delivery of scalable Python-based applications and APIs. - Guide the team in applying best practices in software development, including coding standards, code reviews, testing, and DevOps. - Collaborate with Product Managers, Architects, and QA to ensure delivery of robust solutions aligned with business goals. - Design and optimize relational and NoSQL database schemas, queries, and migrations. - Oversee and contribute to the development of asynchronous systems using tools such as RabbitMQ. - Ensure secure and high-performance API design, including token-based authentication and caching strategies. - Stay up to date with advancements in AI, especially LLM APIs (e.g., OpenAI,Anthropic etc), and explore integration opportunities when applicable. Technical Skills & Requirements: Must-Have Technical Skills: - Strong proficiency in Python and web frameworks such as FastAPI, Flask, or Django - Expertise in designing RESTful APIs with performance, scalability, and security in mind - Solid experience with PostgreSQL, MySQL, and MongoDB - Hands-on experience with Unix/Linux, including Shell scripting - Experience with Docker and containerized deployments - Proficient in using Git, branching strategies, and collaborative workflows - Experience in frontend-backend integrations and knowledge of JavaScript Good to Have: - Familiarity with AI/ML pipelines, especially Large Language Model APIs (OpenAI, HuggingFace, etc.) - Exposure to DevOps practices, cloud infrastructure (AWS, GCP, Azure), CI/CD tools - Experience with message queues, event-driven systems, and job schedulers Show more Show less

Role Description We are seeking a full-time Python Developer for our on-site team located in Dhanbad. In this role, you will be responsible for developing and maintaining back-end web applications, designing and implementing software solutions, and working with databases. You will also be utilizing object-oriented programming principles to ensure efficient and scalable code. Daily tasks include coding, debugging, testing, and collaborating with other team members to deliver high-quality software products. Qualifications Proficiency in Back-End Web Development and Software Development Strong skills in Object-Oriented Programming (OOP) and general Programming Experience working with Databases Excellent problem-solving and analytical skills Ability to work collaboratively in a team environment Bachelor's degree in Computer Science, Software Engineering, or a related field Experience with Python frameworks (such as Django or Flask) is a plus FASTAPI is must Show more Show less

About Valorant Valorant is a fast-growing procurement consulting firm helping mid-market and PE-backed companies transform operations. We’re now launching our next chapter: building AI products to radically automate and augment procurement workflows. This isn’t about chatbot demos. We’re building real enterprise software with real client data, solving real problems. About the Role As our Founding Full-Stack AI Engineer / Technical Product Lead , you’ll drive the design, development, and launch of intelligent agentic systems that blend LLMs, vector search, structured data, and enterprise workflows. You’ll work closely with domain experts, iterate fast, and own the tech stack end to end—from backend services to frontend interfaces. This is a zero-to-one opportunity to build production-grade AI tools that work at scale and matter to real businesses. What You’ll Do Architect and build AI-powered products for procurement and supply chain use cases Develop LLM features using RAG (Retrieval-Augmented Generation), prompt engineering, and custom context pipelines Implement semantic document search using vector databases (Chroma, FAISS, etc.) Build Python backend services for data ingestion, transformation, and orchestration of AI pipelines Work with structured enterprise data (e.g., ledgers, SaaS exports, CSVs) to extract insights and power analytics Design or collaborate on frontend development for dashboards, chat interfaces, and user-facing tools (React or similar) Translate complex workflows into clean, intuitive UX with strong usability principles Ensure enterprise-grade reliability, explainability, and data privacy Contribute to product roadmap, feature planning, and fast iteration cycles with consultants and PMs Take ownership of the full stack and help shape a modern, scalable AI-first architecture What We’re Looking For 5–7+ years of experience in software engineering, full-stack development, or AI/ML product engineering Hands-on experience shipping LLM features in production (OpenAI, Claude, LLaMA, Mistral, etc.) Strong Python skills; experience with LangChain, LLaMA Index, or similar frameworks Experience with vector search, semantic indexing, and chunking strategies Backend engineering experience: designing modular APIs, microservices, and orchestration layers (FastAPI, Flask, Django, etc.) Proficiency in frontend development using React, Vue, or similar frameworks Understanding of UI/UX principles and ability to turn workflows into usable interfaces Familiarity with structured data workflows: pandas, SQL, and validation pipelines Exposure to cloud environments and dev tooling (Docker, GitHub Actions, AWS/GCP) Pragmatic, product-focused mindset — values useful outputs over academic perfection Bonus: Domain experience in procurement, supply chain, legal tech, or enterprise SaaS Bonus: Experience mentoring junior engineers or contributing to team scaling Why Join Us? Build meaningful AI products that solve real problems — not just tech showcases Collaborate with domain experts and access rich real-world data from day one Operate with autonomy, fast iteration cycles, and strong strategic backing Shape the tech foundation of an ambitious, AI-native product company Competitive pay, flexible remote work, and potential equity for high-impact contributors Show more Show less

Job Title: Backend Engineer Job Type: Full-time, Contractor Location: Remote About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary: Join our customer's team as a Backend Engineer, where you will design, develop, and maintain innovative backend systems powering next-generation applications. Leverage your expertise in Python and cloud-native technologies to build robust, scalable services in a dynamic and collaborative environment. If you are passionate about backend excellence and eager to learn, this is your perfect next step. Key Responsibilities: Design, develop, and maintain backend systems using Python, Flask, and SQL. Implement and manage RESTful APIs to support front-end and external integrations. Deploy, monitor, and manage applications on AWS and Kubernetes platforms. Collaborate closely with front-end developers and cross-functional team members to ensure seamless and efficient system integration. Optimize backend performance, scalability, and reliability to support growing user and data demands. Troubleshoot, debug, and resolve complex software and infrastructure issues. Actively contribute to continuous improvement and share knowledge within the team. Required Skills and Qualifications: Proven experience with Python development and frameworks such as Flask and FastAPI. Strong understanding of SQL, with production experience using MySQL databases. Hands-on expertise deploying and managing applications on AWS and Kubernetes. Excellent written and verbal communication skills, with a focus on clarity and collaboration. Experience building, documenting, and maintaining REST APIs. Demonstrated ability to work remotely and independently while thriving in a collaborative team setting. Proactive attitude with a hunger to learn, adapt, and rapidly master new technologies. Preferred Qualifications: Familiarity with continuous integration and deployment pipelines (CI/CD). Previous experience working in agile and distributed teams. Knowledge of system monitoring, logging, and performance tuning tools. Show more Show less

Job Description Job Title : AI Engineer Location : Mohali (Onsite) Shift : UK Shift (12 PM to 10 PM) Experience : 1 to 2 years Qualifications Bachelor's degree in Computer Science, Business, or a related field. Specialization or certification in AI/ML is a plus. Job Role & Responsibilities Develop and optimize predictive models for AI and ML-based features, focusing on enhancing accuracy and latency. Write clean, efficient, reusable, testable, and scalable code with a focus on best coding practices. Analyze business requirements, translate them into software components, and implement feature modifications. Design and implement high-availability, low-latency applications with data protection and security features. Profile applications to ensure optimal performance and identify potential bottlenecks. Continuously work on optimizing NLP-based models, improving both their accuracy and latency for real-world applications. Write unit test cases to ensure code quality and reliability, using appropriate testing frameworks. Continuously optimize and refactor code for improved performance, scalability, and maintainability. Skills & Expertise Strong expertise in building solutions using AI/ML/DL open-source libraries. Advanced Python programming skills. Strong problem-solving and analytical abilities. Ability to write optimized, well-documented code following best coding practices. Proficient in optimizing models for both accuracy and latency, particularly in NLP and machine learning applications. Proficient in optimizing NLP-based models, including techniques for faster inference and reduced computational cost. Familiarity with Generative AI, Large Language Models (LLM), Embeddings, Vectors, RAG (Retrieval-Augmented Generation), and Prompting. Tools & Technologies AI/ML Libraries: TensorFlow, PyTorch, Flair, BERT, DeBERTa, and other latest libraries for text analytics. Frameworks & Platforms: Streamlit, FastAPI. Specialized Tools: Ollama, Vector Databases. Profiling & Testing: Familiarity with tools for profiling applications (e.g., cProfile, Py-Spy) and writing unit tests (e.g., PyTest, UnitTest). Optimization Techniques: Techniques such as model quantization, pruning, distillation, and hardware acceleration. Technical Expertise Minimum of 1 year of hands-on experience in AI/ML/DL projects, focusing on Natural Language Processing (NLP), Named Entity Recognition (NER), and Text Analytics. Strong understanding and practical experience with deep learning techniques, including recommendation engines and advanced AI solutions. Proven experience in optimizing NLP models for accuracy and latency in production environments. Experience with Retrieval-Augmented Generation (RAG) application development and generative AI. Familiarity with Agent Prompting and its applications. Experience in AI applications within the HR domain is highly preferred. Knowledge of Reinforcement Learning is a plus. Certifications or specialization in Artificial Intelligence is highly desirable. Show more Show less

Position - Lead Python 4-5 Years Employment Type: Full-Time About Netra Labs At Netra Labs, we redefine enterprise AI with our groundbreaking platform, Ground Truth. Our platform transforms expertise into powerful AI agents, enabling businesses to automate complex tasks efficiently. With a user-friendly interface and seamless integration with any language model, Ground Truth empowers system integrators, innovators, and developers to rapidly build and deploy AI solutions. Our commitment to security, scalability, and ROI ensures our clients can trust us with their AI-driven workflows. Role Overview We are looking for a highly skilled Python Engineer to lead our backend team and drive the development of scalable, secure, and high-performance AI-powered applications. The ideal candidate will have expertise in data science, a deep understanding of backend development, and hands-on experience with cloud services and DevOps practices. You will work closely with cross-functional teams, ensuring seamless integration between AI models, data pipelines, and enterprise applications. Key Responsibilities Lead the backend development team, ensuring best practices in coding, architecture, and performance optimization. Design, develop, and maintain scalable backend services using Python and FastAPI. Architect and optimize databases, ensuring efficient storage and retrieval of data using MongoDB. Integrate AI models and data science workflows into enterprise applications. Implement and manage AWS cloud services, including Lambda, S3, EC2, and other AWS components. Automate deployment pipelines using Jenkins and CI/CD best practices. Ensure security and reliability, implementing best practices for authentication, authorization, and data privacy. Monitor and troubleshoot system performance, optimizing infrastructure and codebase. Collaborate with data scientists, front-end engineers, and product team to build AI-driven solutions. Stay up to date with the latest technologies in AI, backend development, and cloud computing. Required Skills & Qualifications 4-5 years of experience in backend development with Python. Strong experience in FastAPI or other modern Python web frameworks. Proficiency in MongoDB or other NoSQL databases. Hands-on experience with AWS services (Lambda, S3, EC2, etc.). Experience with Jenkins and CI/CD pipelines. Data Science knowledge with experience integrating AI models and data pipelines. Strong understanding of RESTful API design, microservices, and event-driven architecture. Experience in performance tuning, caching, and security best practices. Proficiency in working with Docker and containerized applications. Excellent problem-solving skills and ability to lead a team. Strong communication skills to interact with stakeholders and cross-functional teams. Preferred Qualifications Experience with Machine Learning frameworks such as TensorFlow or PyTorch. Knowledge of GraphQL, WebSockets, or gRPC. Familiarity with Terraform or Kubernetes for infrastructure as code. Experience with big data processing frameworks such as Apache Spark. (ref:hirist.tech) Show more Show less

Company Description Hidden Brains InfoTech is a CMMI Level 3 enterprise software development and IT consulting company, dedicated to digital transformation. Established in 2003, we have served over 2400 clients across 107 countries, and are 'Great Place to Work Certified.' Our focus is on building technology solutions that create intelligent enterprises through innovative approaches. With a team of over 700 agile-enabled professionals, we have developed more than 1000 mobile applications and 4000 web apps, completing over 6000 Responsibilities : Lead and mentor a team of Python developers, fostering a culture of continuous improvement, accountability, and high-quality engineering. Own the architecture, design, and delivery of scalable Python-based applications and APIs. Guide the team in applying best practices in software development, including coding standards, code reviews, testing, and DevOps. Collaborate with Product Managers, Architects, and QA to ensure delivery of robust solutions aligned with business goals. Design and optimize relational and NoSQL database schemas, queries, and migrations. Oversee and contribute to the development of asynchronous systems using tools such as RabbitMQ. Ensure secure and high-performance API design, including token-based authentication and caching strategies. Stay up to date with advancements in AI, especially LLM APIs (e.g., OpenAI,Anthropic etc), and explore integration opportunities when Skills & Requirements : Must-Have Technical Skills Strong proficiency in Python and web frameworks such as FastAPI, Flask, or Django. Expertise in designing RESTful APIs with performance, scalability, and security in mind. Solid experience with PostgreSQL, MySQL, and MongoDB. Hands-on experience with Unix/Linux, including Shell scripting. Experience with Docker and containerized deployments. Proficient in using Git, branching strategies, and collaborative workflows. Experience in frontend-backend integrations and knowledge of JavaScript Good To Have Familiarity with AI/ML pipelines, especially Large Language Model APIs (OpenAI, HuggingFace, etc.). Exposure to DevOps practices, cloud infrastructure (AWS, GCP, Azure), CI/CD tools. Experience with message queues, event-driven systems, and job schedulers (ref:hirist.tech) Show more Show less

Job Description It’s an exciting time to be at Infoblox. Named a Top 25 Cyber Security Company by The Software Report and one of Inc . magazine’s Best Workplaces for 2020, Infoblox is the leader in cloud-first networking and security services. Our solutions empower organizations to take full advantage of the cloud to deliver network experiences that are inherently simple, scalable, and reliable for everyone. Infoblox customers are among the largest enterprises in the world and include 70% of the Fortune 500, and our success depends on bright, energetic, talented people who share a passion for building the next generation of networking technologies—and having fun along the way. We are looking for a Staff Data Science Engineer to join our IT Applications and Data team located in Bangalore, reporting to the senior director of Business Intelligence. In this role, you will collaborate with various business functions and IT Development teams to deliver data science and analytics capabilities for the company. You will work with the IT development and product manager to discover the information hidden in data and help us provide insights and make smarter decisions using that data. This is an exceptional opportunity to join a growing, successful, and innovative organization. Infoblox allows you to thrive in a unique work environment that emphasizes career growth, excellence, innovation, and collaboration. You are the ideal candidate if you can influence, collaborate, and break down complex business information into easy-to-understand data products. What you’ll do: Maintain an in-depth understanding of business needs by working closely with stakeholders and understand how data can be turned into information and knowledge Apply data mining techniques, perform statistical analysis, and build high-quality prediction solutions Collect and prepare data from the datalake and other sources and build machine learning (ML) techniques and analytic capabilities Work with IT management and senior engineers to share model outputs through business intelligence (BI) dashboards Complete ad hoc analysis and present results to business users Develop Generative AI (Gen AI) models for use cases such as text generation, summarization, and conversational AI Implement Large Language Models (LLMs) using Python-based frameworks such as LangChain, Hugging Face Transformers, OpenAI APIs, and TensorFlow/Keras Fine-tune and optimize Gen AI models for domain-specific applications Work with Microsoft Fabric for data engineering, real-time analytics, and AI integration Implement Retrieval-Augmented Generation (RAG) techniques to enhance LLM responses using enterprise knowledge bases What you’ll bring: 12+ years of data science experience that includes thought leadership and a sound understanding of business objectives and processes in SaaS companies preferred Solid programming and scripting skills in Python, with experience in PyTorch, TensorFlow, Scikit-learn, and MLflow Hands-on experience with ML algorithms and data science toolkits, such as R, Numpy, and MatLab Practical experience with Generative AI models, such as GPT, BERT, T5, or Stable Diffusion, and LLMs Experience in model deployment and serving using tools like FastAPI, Flask, MLflow, or Vertex AI Understanding of Microsoft Fabric and its ML and AI capabilities Knowledge of RAG for enhancing LLM applications with external data retrieval Excellent scripting and programming skills, including SQL and data extraction tools Sound applied statistical skills, such as statistical testing and regression Fair understanding of BI technologies, such as Tableau and big data analytics Ability to work with managers to use storytelling to showcase the business value of the data science deliveries to executives Bachelor’s degree in computer science, engineering, or a related field; advanced degree preferred What success looks like: After six months, you will… Be the conduit to bring out analytical insights for revenue growth and churn reduction Use your strong cross-functional business knowledge to create data science solutions After About a Year, You Will… Be a critical part of delivering AI possibilities leveraging ML Be a key contributor in elevating the analytic opportunities for the company using IT-managed applications’ data Have a solid relationship with stakeholders We’ve got you covered: Our holistic benefits package includes coverage of your health, wealth, and wellness—as well as a great work environment, employee programs, and company culture. We offer a competitive salary and benefits package, and generous paid time off to help you balance your life. We have a strong culture and live our values every day—we believe in transparency, curiosity, respect, and above all, having fun while delighting our customers. Speaking of a great work environment, here are just a few of the perks you may enjoy, depending on your location Delicious and healthy snacks and beverages Electric vehicle charging stations Outdoor amenities (onsite gym, table tennis, pool table, play area, and courtyard Newly remodeled offices with state-of-the-art amenities Why Infoblox? We’ve created a culture that embraces diversity, equity, and inclusion and rewards innovation, curiosity, and creativity. We achieve remarkable results by working together in a supportive environment that focuses on continuous learning and embraces change. So, whether you’re a software engineer, marketing manager, customer care pro, or product specialist, you belong here, where you will have the opportunity to grow and develop your career. Check out what it’s like to be a Bloxer . We think you’ll be excited to join our team. Show more Show less

Full-Stack Developer (Python/React) Experience: 3+ years Salary : Competitive Preferred Notice Period : Within 30 Days Shift : 10:00 AM to 07:00 PM IST Opportunity Type: Hybrid (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Partners) What do you need for this opportunity Must have skills required : AWS, Python, FastAPI, MongoDB, MySQL, React Js, RESTful API Good to have skills : Docker, Azure, Firebase, CI/CD, Gcloud, TypeScript Our Hiring Partner is Looking for: Full-Stack Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Responsibilities 1. Design, develop, and deploy full-stack web applications using JS/TypeScript with React & Tailwind for the frontend and Python with FastAPI for the backend. 2. Ensure applications are built with efficient, scalable code that follows best practices and design patterns. 3. Implement authentication, authorization, and security protocols to protect the application and user data. 4. Engage in asynchronous programming to enhance application performance and user experience. 5. Collaborate with cross-functional teams to define, design, and ship new features. 6. Maintain and improve the performance of existing applications. 7. Continuously learn and apply new technologies to solve complex problems. Must-Have Qualifications - 1. Proven experience of 3 to 6 years in developing full-stack applications from concept to deployment. 2. Strong knowledge of frontend development with JS/TypeScript, React, and Tailwind. 3. Solid experience in backend development using Python with FastAPI. 4. Deep understanding of authentication, asynchronous programming, and scalability. 5. Familiarity with database technologies (e.g., MySQL OR MongoDB) and RESTful API development. 6. Good grasp of data structures and algorithms. 7. Experience with AWS Preferred Skills - 1. Proficiency in system design and understanding of design principles. 2. Experience with cloud services (AWS, Azure, GCloud, or Firebase). 3. Knowledge of generative AI and MLOps practices. 4. Ability to work in a team environment and independently. 4. Experience with NEXT JS / Redux is preferable. Additional Qualifications - 1. Bachelors/Masters degree in Computer Science, Engineering, or a related field. 2. Strong problem-solving skills and the ability to think algorithmically. 3. Excellent verbal and written communication skills. 4. Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines. 5. Familiarity with version control tools, such as Git. Interview Process - Technical Round 1 (DSA) Technical Round 2 (Coding & Problem solving) Technical + Managerial Round How to apply for this opportunity Register or login on our portal Click 'Apply,' upload your resume and fill in the required details. Post this click Apply Now' to submit your application. Get matched and crack a quick interview with our hiring partner. Land your global dream job and get your exciting career started! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement. ( Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : Bachelor of Engineering in Electronics or any related stream Summary: As a Senior Python Engineer, you will develop data-driven applications on AWS for the client. Responsible for the creation of scalable data pipelines and algorithms to process and deliver actionable vehicle data insights. Roles & Responsibilities: 1. Lead the design and development of Python based applications and services 2. Architect and implement cloud-native solutions using AWS services 3. Mentor and guide the Python development team, promoting best practices and code quality 4. Collaborate with data scientists and analysts to implement data processing pipelines 5. Participate in architecture discussions and contribute to technical decision-making 6. Ensure the scalability, reliability, and performance of Python applications on AWS 7. Stay current with Python ecosystem developments, AWS services, and industry best practices. Professional & Technical Skills: 1. At least 7 years of experience in Python Programming with Web framework expertise (Django, Flask, or FastAPI). 2. Exposure on database technologies (SQL and NoSQL) and API development. 3. Significant experience working with AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker, EMR) and Infrastructure as Code (e.g., AWS CloudFormation, Terraform). 4. Exposure on Test-Driven Development (TDD) 5. Practices DevOps in software solution and well-versed with Agile methodologies. 6. AWS certification is a plus. 7. Have well-developed analytical skills, a person who is rigorous but pragmatic, being able to justify decisions with solid rationale. Additional Information: 1. The candidate should have a minimum of 7 years of experience in Python Programming. 2. This position is based at our Hyderabad office 3. A 15 years full time education is required (bachelor’s degree in computer science, Software Engineering, or related field). Bachelor of Engineering in Electronics or any related stream Show more Show less

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : Bachelor of Engineering in Electronics or any related stream Summary: As a Senior Python Engineer, you will develop data-driven applications on AWS for the client. Responsible for the creation of scalable data pipelines and algorithms to process and deliver actionable vehicle data insights. Roles & Responsibilities: 1. Lead the design and development of Python based applications and services 2. Architect and implement cloud-native solutions using AWS services 3. Mentor and guide the Python development team, promoting best practices and code quality 4. Collaborate with data scientists and analysts to implement data processing pipelines 5. Participate in architecture discussions and contribute to technical decision-making 6. Ensure the scalability, reliability, and performance of Python applications on AWS 7. Stay current with Python ecosystem developments, AWS services, and industry best practices. Professional & Technical Skills: 1. At least 7 years of experience in Python Programming with Web framework expertise (Django, Flask, or FastAPI). 2. Exposure on database technologies (SQL and NoSQL) and API development. 3. Significant experience working with AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker, EMR) and Infrastructure as Code (e.g., AWS CloudFormation, Terraform). 4. Exposure on Test-Driven Development (TDD) 5. Practices DevOps in software solution and well-versed with Agile methodologies. 6. AWS certification is a plus. 7. Have well-developed analytical skills, a person who is rigorous but pragmatic, being able to justify decisions with solid rationale. Additional Information: 1. The candidate should have a minimum of 7 years of experience in Python Programming. 2. This position is based at our Hyderabad office 3. A 15 years full time education is required (bachelor’s degree in computer science, Software Engineering, or related field). Bachelor of Engineering in Electronics or any related stream Show more Show less

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : Bachelor of Engineering in Electronics or any related stream Summary: As a Senior Python Engineer, you will develop data-driven applications on AWS for the client. Responsible for the creation of scalable data pipelines and algorithms to process and deliver actionable vehicle data insights. Roles & Responsibilities: 1. Lead the design and development of Python based applications and services 2. Architect and implement cloud-native solutions using AWS services 3. Mentor and guide the Python development team, promoting best practices and code quality 4. Collaborate with data scientists and analysts to implement data processing pipelines 5. Participate in architecture discussions and contribute to technical decision-making 6. Ensure the scalability, reliability, and performance of Python applications on AWS 7. Stay current with Python ecosystem developments, AWS services, and industry best practices. Professional & Technical Skills: 1. At least 7 years of experience in Python Programming with Web framework expertise (Django, Flask, or FastAPI). 2. Exposure on database technologies (SQL and NoSQL) and API development. 3. Significant experience working with AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker, EMR) and Infrastructure as Code (e.g., AWS CloudFormation, Terraform). 4. Exposure on Test-Driven Development (TDD) 5. Practices DevOps in software solution and well-versed with Agile methodologies. 6. AWS certification is a plus. 7. Have well-developed analytical skills, a person who is rigorous but pragmatic, being able to justify decisions with solid rationale. Additional Information: 1. The candidate should have a minimum of 5 years of experience in Python Programming. 2. This position is based at our Hyderabad office 3. A 15 years full time education is required (bachelor’s degree in computer science, Software Engineering, or related field). Bachelor of Engineering in Electronics or any related stream Show more Show less

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : Bachelor of Engineering in Electronics or any related stream Summary: As a Sr. Backend Engineer, you will develop data-driven applications on AWS for the client. Responsible for the creation of scalable data pipelines and algorithms to process and deliver actionable vehicle data insights. Roles & Responsibilities: 1. Lead the design and development of Python based applications and services 2. Architect and implement cloud-native solutions using AWS services 3. Mentor and guide the Python development team, promoting best practices and code quality 4. Collaborate with data scientists and analysts to implement data processing pipelines 5. Participate in architecture discussions and contribute to technical decision-making 6. Ensure the scalability, reliability, and performance of Python applications on AWS 7. Stay current with Python ecosystem developments, AWS services, and industry best practices. Professional & Technical Skills: 1. Experience in Python Programming with Web framework expertise (Django, Flask, or FastAPI). 2. Exposure on database technologies (SQL and NoSQL) and API development. 3. Significant experience working with AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker, EMR) and Infrastructure as Code (e.g., AWS CloudFormation, Terraform). 4. Exposure on Test-Driven Development (TDD) 5. Practices DevOps in software solution and well-versed with Agile methodologies. 6. AWS certification is a plus. Additional Information: 1. The candidate should have a minimum of 3 years of experience in Python Programming. 2. This position is based at our Hyderabad office 3. A 15 years full time education is required (bachelor’s degree in computer science, Software Engineering, or related field). Bachelor of Engineering in Electronics or any related stream Show more Show less

Position Summary Job Title: Manager - Government and Public Services Enabling Areas (GPS EA). The Team: GPS GSi The Role: Senior Data Scientist The Team: Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and collaborating with a small team in a fast-paced environment to achieve strategic mission goals? If so, Deloitte has an exciting opportunity for you! As a member of our GPS GSi group, you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in assisting with machine learning, deep learning, and generative AI initiatives that will be utilized by Enabling Area professionals to enhance and expedite decision-making. You will provide expertise within and across business teams, demonstrate the ability to work independently / as a team, and apply problem-solving skills to resolve complex issues. Work you will do. Technology: Deliver exceptional client service. Maximizes results and drives high performance from people while fostering collaboration across businesses and geographies Interfacing with business customers and leadership to gather requirements and deliver complete Data Engineering, Data Warehousing, and BI solutions. Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms. Develop, design, and/or advise on Large Language Model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT), Supervised Fine-tuning (SFT), etc.) Utilize Machine Learning Operations (MLOps) pipelines, including knowledge of containerization (Docker) and CI/CD for training and deploying models. Maintain structured documentation of project development stages, including the utilization of GitHub and/or Jira for version control and project management. Demonstrate effective communication skills with the ability to provide expertise and break down complex analytical solutions to explain to clients. Remain current with latest industry trends and developments in data science and/or related fields, with the ability to learn new skills and knowledge to advance the skillset of our Data Science team. Apply thorough attention to detail, and carefully review data science solutions for accuracy and quality. Leadership: Develop high-performing teams by providing challenging and meaningful opportunities, and acknowledge their contributions to the organization's success. Establish the team's strategy and roadmap, prioritizing initiatives based on their broader business impact. Demonstrate leadership in guiding both US and USI teams to deliver advanced technical solutions across the GPS practice. Serve as a role model for junior practitioners, inspiring action and fostering positive behaviors. Pursue new and challenging initiatives that have a positive impact on our Practice and our personnel. Establish a reputation as a Deloitte expert and be acknowledged as a role model and senior member by client teams. Support and participate in the recognition and reward of junior team members. People Development: Actively seek, provide, and respond to constructive feedback. Offer development guidance to the GSi team, enhancing their people, leadership, and client management skills. Play a pivotal role in recruitment and the onboarding of new hires. Engage in formal performance assessment activities for assigned staff and collaborate with Practice leadership to address and resolve performance issues. Serve as an effective coach by helping counselees identify their strengths and opportunities to capitalize on them. Foster a "One Team" mindset among US and USI team members. Qualifications: Required/Preferred: Bachelor's degree, preferably in Management Information Systems, Computer Science, Software Engineering, or related IT discipline Minimum of 10+ years of relevant experience with data science technologies and analytics advisory or consulting firms. Strong knowledge of LLMs and RAG. Familiarity with AWS, Databricks, and/or Dataiku platforms. Working knowledge of MLOps, including familiarity with containerization (e.g., Docker). Excellent troubleshooting skills and the ability to work independently. Strong organizational skills, including clear documentation of projects and ability to write clean code. Familiarity with agile project methodology and/or project development lifecycle. Experience with GitHub for version control. Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical audiences. Ability to complete work in an acceptable timeframe and manage a variety of detailed tasks and responsibilities simultaneously and with accuracy to meet deadlines, goals, and objectives and satisfy internal and external customer needs related to the job. Extensive experience with MLOps and associated serving frameworks (i.e., Flask, FastAPI, etc.) and orchestration pipelines (e.g., Sage Maker Pipelines, Step Functions, Metaflow, etc.). Extensive experience working with open source LLMs (e.g., serving via TGI / vLLM, performing CPT and/or SFT, etc.). Experience using various AWS Services (e.g., Textract, Transcribe, Lambda, etc.). Proficiency in basic front-end web development (e.g., Streamlit). Knowledge of Object-Oriented Programming (OOP) concepts. At least 3-4 years of people management skills are required. Work Location:Hyderabad Timings: 2 PM – 11PM How You’ll Grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities— including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, worldclass learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities.We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302611 Show more Show less

🚀 Job Title: Senior AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Senior AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-4 years of experience in building and deploying AI/ML systems, with at least 1-2 years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Senior AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Data engineer, strong in Python, Solution architech At least 8+ years experience, ideally within a Data Engineer role. Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data. Excellent experience working Python, Pandas, Flask/Fast/Django API, Middleware, Scheduler, SQL, Databases. Prior experience with Python frameworks such as Django or Flask and a strong knowledge of SQL (queries, joins, etc.). Good to have some experience in AWS/Azure. Capability of developing highly-scalable RESTful APIs. Excellent team player and can work well in an individual capacity as well. Detail-oriented and possess strong analytical skills. Pays strong attention to detail and deliver work that is of a high standard. Highly goal-driven and work well in fast-paced environments. Python, RestAPI, Redis Cache, SQl ostgres/MariaDB/Clickhouse, Kubernetes, Linux/Window scheduler, Shell Script 1. DataOPS - Python Core Advanced - Development and Data Pipelining - Data Structures, Pandas, Numpy, sklearn, concurrency, design patterns 2. DevOPS - App Deployment using CI/CD tools like Jenkins, Jfrog, Docker, Kubernetes, Openshift Container Platform 3. Microservices & REST APIs - FastAPI, Flask, Tornado 4. Cloud how apps are build and deployed using cloud 5. Databases & SQL Postgres, Clickhouse, MongoDB 6. Caching & Queuing - Pub/Sub(RabbitMQ), Redis 7. Operating system - Linux and windows 8. Monitoring and Logging Splunk

🚀 Job Title: Lead AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Lead AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Lead AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Job Type: Full Time Job Description: We are seeking an experienced AI Engineer with 4-5 years of hands-on experience in designing and implementing AI solutions. The ideal candidate should have a strong foundation in developing AI/ML-based solutions, including expertise in Computer Vision (OpenCV). Additionally, proficiency in developing, fine-tuning, and deploying Large Language Models (LLMs) is essential. As an AI Engineer, candidate will work on cutting-edge AI applications, using LLMs like GPT, LLaMA, or custom fine-tuned models to build intelligent, scalable, and impactful solutions. candidate will collaborate closely with Product, Data Science, and Engineering teams to define, develop, and optimize AI/ML models for real-world business applications. Key Responsibilities: Research, design, and develop AI/ML solutions for real-world business applications, RAG is must. Collaborate with Product & Data Science teams to define core AI/ML platform features. Analyze business requirements and identify pre-trained models that align with use cases. Work with multi-agent AI frameworks like LangChain, LangGraph, and LlamaIndex. Train and fine-tune LLMs (GPT, LLaMA, Gemini, etc.) for domain-specific tasks. Implement Retrieval-Augmented Generation (RAG) workflows and optimize LLM inference. Develop NLP-based GenAI applications, including chatbots, document automation, and AI agents. Preprocess, clean, and analyze large datasets to train and improve AI models. Optimize LLM inference speed, memory efficiency, and resource utilization. Deploy AI models in cloud environments (AWS, Azure, GCP) or on-premises infrastructure. Develop APIs, pipelines, and frameworks for integrating AI solutions into products. Conduct performance evaluations and fine-tune models for accuracy, latency, and scalability. Stay updated with advancements in AI, ML, and GenAI technologies. Required Skills & Experience: AI & Machine Learning: Strong experience in developing & deploying AI/ML models. Generative AI & LLMs: Expertise in LLM pretraining, fine-tuning, and optimization. NLP & Computer Vision: Hands-on experience in NLP, Transformers, OpenCV, YOLO, R-CNN. AI Agents & Multi-Agent Frameworks: Experience with LangChain, LangGraph, LlamaIndex. Deep Learning & Frameworks: Proficiency in TensorFlow, PyTorch, Keras. Cloud & Infrastructure: Strong knowledge of AWS, Azure, or GCP for AI deployment. Model Optimization: Experience in LLM inference optimization for speed & memory efficiency. Programming & Development: Proficiency in Python and experience in API development. Statistical & ML Techniques: Knowledge of Regression, Classification, Clustering, SVMs, Decision Trees, Neural Networks. Debugging & Performance Tuning: Strong skills in unit testing, debugging, and model evaluation. Hands-on experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone). Good to Have: Experience with multi-modal AI (text, image, video, speech processing). Familiarity with containerization (Docker, Kubernetes) and model serving (FastAPI, Flask, Triton).

We are looking for a passionate and skilled Python Developer Intern with 0–1 years of experience to join our team. The ideal candidate should have solid hands-on experience with Selenium for automation, working knowledge of Fast API for building backend services, and a bonus for any exposure to AI/ML technologies. This role is ideal for candidates who are eager to learn and grow in a fast-paced development environment. Key Responsibilities: Develop and maintain automation scripts using Python and Selenium WebDriver. Build and manage RESTful APIs using Fast API, ensuring performance, security, and scalability. Collaborate with frontend and backend teams to integrate automation and API services. (If applicable) Contribute to the development of AI/ML models for data analysis, prediction, or process automation. Write clean, maintainable, and well-documented code following best practices. Troubleshoot and resolve bugs or performance issues in automation and API modules. Required Skills: Strong programming skills in Python. Hands-on experience with Selenium for web browser automation. Working knowledge of FastAPI for creating RESTful APIs. Familiarity with web technologies (HTML, CSS, JavaScript). Understanding of REST APIs, HTTP methods, and JSON handling. Preferred (Bonus) Skills: Exposure to AI/ML tools and frameworks such as scikit-learn, TensorFlow, or PyTorch. Experience with pandas, NumPy, or data analysis workflows. Basic knowledge of Docker, Git, or cloud platforms like AWS or GCP. Knowledge of test automation and continuous integration tools. Educational Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field (or currently pursuing). What We Offer: Opportunity to work on real-world automation and API-driven projects. Mentorship and hands-on learning with emerging technologies. A collaborative, inclusive, and growth-focused environment Show more Show less

Description and Requirements "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for a Java Tech Lead, an innovator at heart, to join a team of highly skilled software developers, responsible for BMC’s Helix Capacity Optimization product. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Play a vital role in project design to ensure scalability, reliability, and performance are met Design and develop new features as well as maintain existing features by adding improvements and fixing defects in complex areas (using Java) Design and maintain robust AI/ML pipelines using Python and industry-standard ML frameworks. Collaborate closely with AI researchers and data scientists to implement, test, and deploy machine learning models in production. Leverage prompt engineering techniques and implement LLM optimization strategies to enhance response quality and performance. Assist in troubleshooting complex technical problems in development and production Implement methodologies, processes & tools Initiate projects and ideas to improve the team’s results On-board and mentor new employees To ensure you’re set up for success, you will bring the following skillset & experience: Backend Development: FastAPI, RESTful APIs, Python Cloud Infrastructure: AWS, EKS, Docker, Kubernetes AI/ML Frameworks: LangChain, Scikit-learn, Bedrock, Hugging Face (optional to add if applicable) ML Pipelines: Python, Pandas, NumPy, joblib DevOps & CI/CD: Git, Terraform (optional), Helm, GitHub Actions LLM Expertise: Prompt engineering, RAG (Retrieval Augmented Generation), vector databases (e.g., FAISS, Pinecone) You have 12+ years of experience in Java Backend development You have experience as a Backend Tech Lead You have experience in Spring, Swagger, REST API You worked with Spring Boot, Docker, Kubernetes You are a self-learner who’s passionate about problem solving and technology You are a team player with good communication skills in English (verbal and written) Whilst these are nice to have, our team can help you develop in the following skills: Public Cloud (AWS, Azure, GCP) Python, Node.js, C/C++ Automation Frameworks such as Robot Framework Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. < Back to search results BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,166,900 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Show more Show less