4097 Fastapi Jobs - Page 26

Job Summary We are seeking a highly motivated AI/ML Engineer to design, develop, and deploy machine learning solutions that solve real-world problems. Responsibilities The ideal candidate should have strong foundations in machine learning algorithms, Python programming, and experience with model development, data pipelines, and production deployment in cloud or on-prem Responsibilities : Design and implement machine learning models and AI solutions for business use cases. Build and optimize data preprocessing pipelines for training and inference. Train, evaluate, and fine-tune supervised, unsupervised, and deep learning models. Collaborate with data engineers, product teams, and software developers. Deploy ML models into production using APIs, Docker, or cloud-native tools. Monitor model performance and retrain/update models as needed. Document model architectures, experiments, and performance metrics. Research and stay updated on new AI/ML trends and tools. Required Skills And Experience Strong programming skills in Python (NumPy, Pandas, Scikit-learn, etc. Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch. Solid understanding of machine learning algorithms, data structures, and statistics. Experience with NLP, computer vision, or time series analysis is a plus. Familiarity with tools like Jupyter, MLflow, or Weights & Biases. Understanding of Docker, Git, and RESTful APIs. Experience with cloud platforms such as AWS, GCP, or Azure. Strong problem-solving and communication skills. Nice To Have Experience with MLOps tools and concepts (CI/CD for ML, model monitoring). Familiarity with big data tools (Spark, Hadoop). Knowledge of FastAPI, Flask, or Streamlit for ML API development. Understanding of transformer models (e.g., BERT, GPT) or LLM : Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field. Certifications in Machine Learning/AI (e.g., Google ML Engineer, AWS ML Specialty) are a plus. (ref:hirist.tech)

As a Cloud Developer specializing in Google Cloud Platform (GCP), Python, and Apache Airflow, you will be responsible for designing and developing cloud-native applications and APIs. Your expertise in deploying microservices on GCP Cloud Run, utilizing Docker for containerization, and managing data workflows with Apache Airflow will be crucial in optimizing scalable cloud services. Collaborating with cross-functional teams in an Agile environment, you will ensure the development, maintenance, and security of cloud infrastructure using various GCP services. Your key responsibilities will include designing and developing cloud-native applications and APIs using Python and frameworks like Django, FastAPI, or Flask. You will deploy microservices on GCP Cloud Run, implement data workflows with Apache Airflow, and secure cloud infrastructure using GCP services such as Compute Engine, BigQuery, and Cloud Storage. Additionally, you will apply best practices in GCP security, collaborate with cross-functional teams, and optimize data pipelines for reliability and observability. To excel in this role, you must possess strong experience with GCP core services, proficiency in Python and frameworks, hands-on experience with Docker and Cloud Run, and a good understanding of GCP IAM and security practices. Experience with SQL, API Gateway tools, Agile development practices, and cross-functional collaboration will be essential. Nice-to-have skills include experience with CI/CD pipelines, DevOps practices, serverless architecture in GCP, and exposure to Dataflow, Pub/Sub, and BigQuery in production environments. Your problem-solving mindset, willingness to learn emerging cloud technologies, strong communication skills, and passion for automation and scalable architecture will be valuable assets in this role. Key Qualifications: - Strong experience with GCP and its core services. - Proficiency in Python and frameworks like Django, FastAPI, or Flask. - Proven experience with Apache Airflow for workflow orchestration. - Hands-on experience with Docker and Cloud Run. - Good understanding of GCP IAM and security best practices. - Experience with SQL for data manipulation and analysis. - Basic working knowledge of API Gateway tools. - Familiarity with Agile development practices and cross-functional collaboration. If you are looking for a challenging role where you can leverage your expertise in GCP, Python, and Apache Airflow to contribute to the development of scalable cloud services, this position as a Cloud Developer may be the perfect fit for you.,

Location: Remote (India) Type: Full-Time Experience: 0–1 year Education: B.Tech (CS/IT) or BCA About Us: We are a forward-thinking AI & cloud-native company building high-performance backend systems that power real-time AI applications and services. Our microservice-based architecture leverages FastAPI, containerization, edge functions, and cloud VMs to deliver scalable, low-latency APIs. Role Overview: We’re hiring a Junior Python Developer to work on robust backend systems, data processing pipelines, and cloud-native APIs. This is an opportunity for passionate developers to go deep into FastAPI, SQLAlchemy, Alembic , and modern cloud architectures, while gaining hands-on experience in microservices, container orchestration, and DevOps automation. Key Responsibilities: Build and maintain scalable, modular backends using FastAPI Write clean, well-structured code following PEP8 , DRY, and SOLID principles Design and interact with MySQL databases using SQLAlchemy ORM and Alembic for migrations Perform data manipulation and ETL tasks using NumPy and Pandas Develop and maintain unit/integration tests using Pytest Integrate REST APIs , handle authentication with API keys , and manage third-party service integrations Use Git for version control and contribute via feature branches, pull requests, and code reviews Deploy services on edge functions , VM instances , or bare-metal Linux environments Collaborate in an agile environment using tools like Jira, GitHub, Notion, and Slack Tech Stack & Tools You’ll Use: Languages: Python 3.10+ Frameworks: FastAPI, Uvicorn, Pydantic ORM: SQLAlchemy 2.x, Alembic DB: MySQL, PostgreSQL (bonus) Testing: Pytest, Coverage.py Data: NumPy, Pandas, JSON, YAML Version Control: Git, GitHub Cloud: AWS, GCP, DigitalOcean, or bare-metal Linux (any exposure is a plus) Dev Tools: Docker, curl, HTTPie, Postman, Makefiles AI Coding Tools: GitHub Copilot, Cursor, ChatGPT (experience with these is a plus ) Minimum Requirements: Bachelor’s degree in Computer Science (B.Tech/B.E.) or BCA 0–1 year of professional experience (freshers welcome) Solid understanding of Python fundamentals , OOP, and backend development concepts Projects demonstrating backend/API development with FastAPI or similar frameworks Understanding of RESTful principles , error handling, and async programming Basic familiarity with Linux environments and terminal workflows Bonus Skills (Not Mandatory): Experience with Docker and containers Knowledge of CI/CD pipelines Familiarity with JWT , OAuth2, or other auth mechanisms Exposure to Redis , Celery , or Kafka Awareness of DevOps practices and GitHub Actions Interview Process: Online coding assessment (MCQs + hands-on backend challenge) Technical interview (FastAPI, Python, DB, Testing) Final culture-fit and dev environment check What We Offer: 100% remote-first , async-friendly work environment Opportunity to work on real-world AI & microservice projects Access to AI-enhanced developer tools like GitHub Copilot Upskilling support with curated resources and mentorship A collaborative, engineering-driven culture

As a Principal Engineer / Architect at our organization, you will be responsible for combining deep technical expertise with strategic thinking to design and implement scalable, secure, and modern digital systems. This senior technical leadership role requires hands-on architecture experience, a strong command of cloud-native development, and a successful track record of leading teams through complex solution delivery. Your role will involve collaborating with cross-functional teams including engineering, product, DevOps, and business stakeholders to define technical roadmaps, ensure alignment with enterprise architecture principles, and guide platform evolution. Key Responsibilities: Architecture & Design: - Lead the design of modular, microservices-based, and secure architecture for scalable digital platforms. - Define and enforce cloud-native architectural best practices using Azure, AWS, or GCP. - Prepare high-level design artefacts, interface contracts, data flow diagrams, and service blueprints. Cloud Engineering & DevOps: - Drive infrastructure design and automation using Terraform or CloudFormation. - Support Kubernetes-based container orchestration and efficient CI/CD pipelines. - Optimize for performance, availability, cost, and security using modern observability stacks and metrics. Data & API Strategy: - Architect systems that handle structured and unstructured data with performance and reliability. - Design APIs with reusability, governance, and lifecycle management in mind. - Guide caching, query optimization, and stream/batch data pipelines across the stack. Technical Leadership: - Act as a hands-on mentor to engineering teams, leading by example and resolving architectural blockers. - Review technical designs, codebases, and DevOps pipelines to uphold engineering excellence. - Translate strategic business goals into scalable technology solutions with pragmatic trade-offs. Key Requirements: Must Have: - 5+ years in software architecture or principal engineering roles with real-world system ownership. - Strong experience in cloud-native architecture with AWS, Azure, or GCP (certification preferred). - Programming experience with Java, Python, or Node.js, and frameworks like Flask, FastAPI, Celery. - Proficiency with PostgreSQL, MongoDB, Redis, and scalable data design patterns. - Expertise in Kubernetes, containerization, and GitOps-style CI/CD workflows. - Strong foundation in Infrastructure as Code (Terraform, CloudFormation). - Excellent verbal and written communication; proven ability to work across technical and business stakeholders. Nice to Have: - Experience in MLOps pipelines, observability stacks (ELK, Prometheus/Grafana), and tools like MLflow, Langfuse. - Familiarity with Generative AI frameworks (LangChain, LlamaIndex), Vector Databases (Milvus, ChromaDB). - Understanding of event-driven, serverless, and agentic AI architecture models. - Python libraries such as pandas, NumPy, PySpark and support for multi-component pipelines (MCP). Preferred: - Prior experience leading technical teams in regulated domains (finance, healthcare, govtech). - Cloud security, cost optimization, and compliance-oriented architectural mindset. What You'll Gain: - Work on mission-critical projects using the latest cloud, data, and AI technologies. - Collaborate with a world-class, cross-disciplinary team. - Opportunities to contribute to open architecture, reusable frameworks, and technical IP. - Career advancement via leadership, innovation labs, and enterprise architecture pathways. - Competitive compensation, flexibility, and a culture that values innovation and impact.,

As a Junior Python Developer with 2-3 years of experience, you will be responsible for developing and maintaining Python scripts to automate tasks and support internal operations. You will work on building Python applications using FastAPI and other web technologies. Your role will involve managing and optimizing scripts for efficient data loads and collaborating with senior developers and cross-functional teams to implement features and services. Additionally, you will participate in code reviews to ensure adherence to best coding practices and assist in debugging and troubleshooting application issues. You will also contribute to testing and validating code to ensure functionality and performance. Documentation of development work, processes, and code changes will be a key part of your responsibilities. It is essential to continuously learn and stay updated with emerging technologies and industry trends to enhance your skills and contribute effectively to the team.,

As a Software Engineer II at AlphaSense, you will be an integral part of our team focused on developing and maintaining data ingestion systems at scale. Your role will involve designing, implementing, and optimizing robust solutions for processing millions of documents monthly, including multimedia content like audio and video from the public web. You will be responsible for integrating cutting-edge AI models, facilitating intelligent suggestions, and content synchronization. Your proactive problem-solving skills, go-getter attitude, and ability to thrive in a startup environment will be key assets in this role. Your responsibilities will include designing, developing, and maintaining high-performance, scalable applications using Python. You will tackle complex technical challenges with innovative solutions that enhance product features and operational efficiencies. Collaboration with cross-functional teams to integrate applications, optimize system performance, and streamline data flows will be essential. You will take ownership of projects from inception to deployment, ensuring high-quality solutions that enhance user experience. Additionally, you will lead or support data ingestion processes to ensure seamless data flow and management, while continuously learning and adapting to new tools, frameworks, and technologies. To excel in this role, you should have at least 2 years of professional Python development experience, with a solid understanding of Python frameworks such as Django, Flask, or FastAPI. Your proven success in a startup environment, coupled with your ability to tackle challenging technical issues and adapt quickly to changing conditions, will be crucial. A willingness to learn and embrace new technologies and challenges is essential, along with the ability to work effectively both independently and within cross-functional teams. Experience with media processing and live streaming techniques would be advantageous, as well as familiarity with Crossplane and/or ArgoCD for GitOps-based infrastructure management. Knowledge of Docker and Kubernetes would also be beneficial. At AlphaSense, we are committed to providing reasonable accommodation to qualified employees with protected disabilities as required by applicable laws and regulations. We prioritize the security and trust of our employees and potential candidates. All official communications will come from an @alpha-sense.com email address, and if you have any doubts regarding the authenticity of a job listing purportedly from AlphaSense, please contact us or verify it on our Careers page.,

You are a highly skilled Quantitative Developer / Algorithmic Developer with 3 to 7 years of experience, seeking to join a team focused on building advanced, production-grade crypto trading systems. Your role involves developing and optimizing algorithmic trading strategies, designing robust infrastructure, integrating with exchanges, and converting research ideas into actionable trading logic. You should excel at strategy development, high-performance Python programming, and system design, with a deep interest in cryptocurrency markets. Your key responsibilities will include designing, building, and deploying crypto trading strategies across spot, futures, and derivatives. You will translate strategy logic into efficient Python code, work on data ingestion and pattern recognition, integrate machine learning models, interface with exchange APIs, manage data storage, optimize for latency and robustness, and develop internal tools for monitoring and strategy deployment. To excel in this role, you must have strong hands-on programming experience in Python, solid understanding of algorithmic trading systems, proficiency in PostgreSQL, Redis, and FastAPI, familiarity with crypto exchange APIs, and quantitative strategy concepts. You should be detail-oriented, have prior experience with strategy development, and possess a deep curiosity about crypto markets. Preferred qualifications include experience in systematic trading, knowledge of pattern detection systems, exposure to machine learning models applied to financial data, and an understanding of portfolio optimization and risk modeling. If you are passionate about crypto markets and want to contribute to the next generation of intelligent trading systems, this role offers an exciting opportunity to collaborate with quant researchers, infra engineers, and traders in shaping the future of crypto trading.,

Join us in building a modern workflow management system using Python (FastAPI), React/Next.js, GraphQL, and SQL Server on Azure. You'll work across a well-architected backend and a clean, Jamstack-style frontend with a strong focus on quality, performance, and automation. You will be responsible for building REST and GraphQL APIs with FastAPI, developing modern, responsive UIs using React + Next.js, orchestrating workflows using Celery/RQ and Prefect/Airflow, integrating SQLAlchemy ORM with MS SQL Server, and contributing to testing (pytest, mocking, coverage), CI/CD (GitHub Actions, Docker), and documentation. Additionally, you will collaborate with onshore teams and provide production support when needed. We are looking for individuals with at least 5 years of Python development experience and 3 years of React/Next.js experience. You should be strong in async programming & API design, comfortable with GraphQL, SQL, and workflow engines, have experience with testing, CI/CD, and code quality tools, and possess excellent communication skills. Flexibility to support shifts if needed is also required. If you are ready to build something impactful and meet the above qualifications, let's connect! Feel free to drop your profile or send a direct message if you're interested. Referrals are welcome too.,

🚀 Internship Opportunity at Finance Rupay – Immediate Joining! We are looking for enthusiastic and driven interns to join our fast-growing team across multiple technology verticals. If you are passionate about coding, gaming, or AI and want hands-on experience working on real-time projects, this is your chance! Skills: Java: Java 8+ Spring, Spring Boot, Spring Security, JPA, Hibernate, Rest API(Web Services), Databases (NoSQL, RDBMS) Docker, Cloud Platform. Python/ AI Developer: Strong skill in Python with AI tools/development, Rest API(Web Services), ORMs, Databases (NoSQL, RDBMS), Knowledge of Python framework (like Django, Flask, FastAPI, Pyramid, Pandas, NumPy, TensorFlow, PyTorch etc) Most importantly eagerness to learn and stand updated with the latest AI and machine learning advancements. 🔹 Roles Open For: Java Full Stack Developer Python Developer Generative AI Developer Front-End Developer (React/Angular/HTML/CSS) Back-End Developer (Node.js/Java/Python) Unity Developer (Gaming) 🔹 Internship Details: Duration: 6 Months Stipend: ₹6,000/month Location :Thane Start Date: Immediate Joining 🔹 What You’ll Get: Real-world experience on client and internal projects Mentorship from experienced developers Internship certificate and potential for full-time placement Exposure to startup culture and cross-functional teams 🔹 Eligibility: Final year students, recent graduates, or passionate learners Must be available for full-time internship Strong fundamentals and willingness to learn

You will be joining Firstsource Solutions Limited as a Data Scientist where you will be utilizing your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI to develop innovative data-driven solutions and applications. Your role will involve designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Your responsibilities will include designing and implementing advanced ML and DL models, developing web applications for model deployment to enable real-time data processing and user interaction, performing exploratory data analysis to understand underlying patterns and trends, creating data processing pipelines to prepare large datasets for analysis and modeling, employing Generative AI techniques for content generation, and collaborating with cross-functional teams to integrate AI capabilities into products and systems. To excel in this role, you should have a BE, Masters, or PhD in Computer Science, Data Science, Statistics, or a related field, along with 5 to 7 years of relevant experience in a data science role focusing on ML, DL, and statistical modeling. Strong coding skills in Python, experience with Flask or FastAPI, proficiency in ML and DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV), and NLP libraries (e.g., NLTK, spaCy) are essential. Experience with generative models such as GANs, VAEs, or Transformers, deployment skills with Docker, Kubernetes, and CI/CD pipelines, and excellent analytical and communication skills are also required. Certifications in Data Science, ML, or AI from recognized institutions will be an added advantage. This position is available in multiple locations including Hyderabad, Mumbai, Bangalore, and Chennai. Firstsource follows a fair, transparent, and merit-based hiring process and does not ask for money at any stage. Be cautious of fraudulent offers and always verify through official channels or @firstsource.com email addresses.,

We are seeking a skilled and driven AI Developer to create, implement, and launch advanced machine learning models and artificial intelligence solutions. The ideal candidate will possess strong programming abilities, a profound comprehension of machine learning algorithms, and proficiency in model deployment and refinement. Your primary responsibilities will include crafting and executing ML models and AI solutions utilizing suitable algorithms, examining extensive datasets to extract valuable patterns for business decisions, and refining machine learning models to ensure optimal performance. You will also be involved in constructing pipelines for data preprocessing, model training, testing, and deployment, as well as integrating ML models into production through REST APIs, Docker, or cloud services (e.g., AWS SageMaker, GCP AI Platform, Azure ML). Monitoring and enhancing model accuracy, scalability, and dependability post-deployment will also be part of your duties. Collaboration with cross-functional teams comprising product, engineering, and data science professionals to incorporate ML solutions into existing systems is crucial. You will be expected to research and implement new AI methodologies while staying abreast of the latest trends in the field. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and libraries like TensorFlow, PyTorch, and Scikit-learn is essential. A solid grasp of supervised, unsupervised, and reinforcement learning techniques is required, along with experience in NLP, computer vision, or time-series forecasting projects. Familiarity with data processing tools such as Pandas, NumPy, and SQL is expected, as well as knowledge of statistics, linear algebra, and probability theory. Experience in deploying models using Flask/FastAPI, Docker, and CI/CD pipelines is preferred. Familiarity with cloud platforms like AWS, GCP, or Azure, as well as proficiency in version control systems (Git) and collaborative tools like JIRA and Confluence, are advantageous. Hands-on experience with MLOps practices, model monitoring tools, Hugging Face Transformers, OpenCV, YOLO, and similar tools will be beneficial. Participation in Kaggle competitions, published papers, or GitHub AI/ML projects is considered a strong advantage. This is a full-time position located in Nagpur with a salary as per market standards. The ideal candidate should have 2-4 years of experience and be below 35 years old. Educational requirements include a Bachelors or Masters degree or equivalent in a relevant field. Proficiency in English and Hindi is required. Please note that there are no specific perks and benefits mentioned for this position.,

You will be working full-time at Soothsayer Analytics in Hyderabad as a Generative AI/LLM Engineer. Your primary responsibility will be to design, develop, and deploy generative AI models using cutting-edge technologies like Azure OpenAI GPT-4, GPT-4 Vision, or GPT-4 Omni. You should have a strong background in building and deploying AI models, with a focus on leveraging technologies such as Retrieval-Augmented Generation (RAG) and working with Vector Databases. While experience in fine-tuning large language models (LLMs) is beneficial, it is not mandatory. You are expected to have a general understanding of training or fine-tuning deep learning models and be able to quickly learn and implement advanced techniques. Your key responsibilities will include designing, developing, and deploying generative AI models using GPT-4 variants, implementing and optimizing RAG techniques, building and managing AI services using Python frameworks like LangChain or LlamaIndex, and developing APIs with FastAPI or Quart for efficient integration. You will focus on scalability, performance, and optimization of AI solutions across cloud environments, particularly with Azure and AWS. Working with Vector Databases is mandatory, and experience with Graph Databases is optional. You will also utilize Cosmos DB and SQL for data storage and management solutions, apply MLOps or LLMOps practices, and manage Azure Pipelines for continuous integration and deployment. Additionally, you will continuously research and adopt the latest advancements in AI technologies. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field, with at least 1+ years of experience in Generative AI/LLM technologies and 5+ years of experience in related fields. Proficiency in Python and experience with frameworks like LangChain, LlamaIndex, FastAPI, or Quart is required. Expertise in RAG and experience with Vector Databases are mandatory. Knowledge of Cosmos DB and SQL is also essential. Experience with fine-tuning LLMs and Graph Databases is beneficial but not mandatory. You should have proven experience in MLOps, LLMOps, or DevOps, a strong understanding of CI/CD processes, automation, and pipeline management, and familiarity with containers, Docker, or Kubernetes. Experience with cloud platforms, particularly Azure or AWS, and cloud-native AI services is desirable. Strong problem-solving abilities and a proactive approach to learning new AI trends and best practices quickly are necessary for this role.,

As a Backend Developer, your primary responsibility will be to develop and maintain backend services using Python, with a strong emphasis on FastAPI, NumPy, and Polars for efficient handling of data. You will be tasked with building and managing agentic workflows utilizing LangChain, LangGraph, and MCP Agents to facilitate dynamic, multi-step reasoning. Additionally, you will design and execute RAG pipelines for contextual information retrieval and response generation. Integration and optimization of MongoDB or similar vector databases like FAISS and Pinecone for semantic search and embedding storage will also fall under your purview. Collaboration with cross-functional teams to deploy scalable AI services in production will be a crucial part of your role. Furthermore, you will be responsible for conducting performance tuning, testing, and deployment of AI components, while also keeping abreast of the latest developments in GenAI, LLMs, and agentic architectures. The ideal candidate for this position should possess a minimum of 3-6 years of experience in backend development using Python. You should have hands-on experience with FastAPI for constructing RESTful APIs, as well as proficiency in NumPy and Polars for numerical and tabular data processing. A solid understanding of Generative AI concepts is essential, along with practical experience in working with LangChain, LangGraph, and MCP Agents. Experience in building and deploying agentic RAG systems and familiarity with MongoDB or other vector databases for semantic search and retrieval will be advantageous. Knowledge of cloud platforms such as Azure and containerization tools like Docker/Kubernetes will be considered a plus. To qualify for this role, you should hold a Bachelors or Masters degree in computer science, data science, mathematics, or a related field.,

You will be working as a Data Scientist at FSL, utilizing your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI to create innovative data-driven solutions and applications. Your role will involve designing and implementing advanced ML and DL models, developing web applications for model deployment using Flask and FastAPI, and ensuring efficient deployment and monitoring of these systems. Additionally, you will be responsible for performing data analysis, including exploratory data analysis to identify patterns and trends, as well as developing data processing pipelines to prepare large datasets for analysis and modeling. Your tasks will also include utilizing Generative AI techniques to create new data points and enhance content generation, collaborating with cross-functional teams to integrate AI capabilities into products, and ensuring that AI solutions align with business goals and user requirements. You will need to stay updated with the latest AI, ML, DL, CV, and NLP developments, explore new technologies, and effectively communicate complex quantitative analysis to senior management and other departments. To qualify for this role, you should have a BE, Masters, or PhD in Computer Science, Data Science, Statistics, or a related field, along with 5 to 7 years of experience in a data science role focusing on ML, DL, and statistical modeling. Your technical skills should include strong coding abilities in Python, experience with Flask or FastAPI, proficiency in ML and DL frameworks (PyTorch, TensorFlow), CV (OpenCV), and NLP libraries (NLTK, spaCy). Experience with generative models like GANs, VAEs, or Transformers, as well as deployment skills with Docker, Kubernetes, and CI/CD pipelines, are also required. Strong analytical skills, excellent communication skills, and certifications in Data Science, ML, or AI from recognized institutions will be advantageous. This position is available in Hyderabad, Mumbai, Bangalore, and Chennai.,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,

Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals, and Predictions to Lenders, Investors, and Business Enterprises So far, we have onboarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed, and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. This particular role is within our Yubi Invest vertical, and you would get to work on building our bonds platform, called Aspero, for retail users. Be able to operate in ambiguous situations and define clear objectives by breaking down the narratives independently. Work closely with business, research, data and engineering teams to understand the user goals, market dynamics and ship products. Aligning product strategy, proposition and roadmap with measurable metrics with all stakeholders. Drive PRDs, product planning, and product design of new features and enhancements. Clearly communicate product and platform benefits to our users and internal stakeholders. We're looking for a highly skilled, results-driven AI engineer who thrives in fast-paced, high-impact environments. If you are passionate about pushing the boundaries of Computer Vision, OCR, and Large Language Models (LLMs) and have a strong foundation in building and deploying AI solutions, this role is for you. As a Senior Data Scientist, you will take ownership of designing and implementing state-of-the-art OCR and Computer Vision systems. This role demands deep technical expertise, the ability to work autonomously, and a mindset that embraces complex challenges head-on. Here, you won't just fine-tune pre-trained modelsyou'll be architecting, optimizing, and scaling AI solutions that power real-world applications. Key Responsibilities: - Architect, develop, and deploy high-performance Computer Vision and OCR models for real-world applications. - Implement and optimize state-of-the-art OCR models such as Donut, TrOCR, LayoutLM, and DocFormer for document processing and information extraction. - Fine-tune and integrate LLMs (GPT, LLaMA, Mistral, etc.) to enhance text understanding and automation. - Develop custom deep learning models for large-scale image and document processing. - Build and optimize end-to-end AI pipelines, ensuring efficient data processing and model deployment. - Work closely with engineers to operationalize AI models in production (Docker, FastAPI, TensorRT, ONNX). - Enhance GPU performance and model inference efficiency, applying techniques such as quantization and pruning. - Stay ahead of industry advancements, continuously experimenting with new AI architectures and training techniques. - Work in a highly dynamic, startup-like environment, balancing rapid experimentation with production-grade robustness. Requirements: - 5-10 years experience - Proven technical expertise - Strong programming skills in Python, PyTorch, TensorFlow with deep experience in Computer Vision and OCR. - Hands-on experience in developing, training, and deploying OCR and document AI models. - Deep understanding of Transformer-based architectures for vision and text processing. - Experience working with Hugging Face, OpenCV, TensorRT, and NVIDIA GPUs for model acceleration. - Autonomous problem solver - Strong experience in scaling AI solutions, including model optimization and deployment on cloud platforms (AWS/GCP/Azure). - Thrives in fast-paced environments - Familiarity with MLOps tools (Docker, FastAPI, Kubernetes) for seamless model deployment. - Experience in multi-modal models (Vision + Text). Nice to Have: - Strong background in vector databases, RAG pipelines, and fine-tuning LLMs for document intelligence. - Contributions to open-source AI projects.,

You are looking for an experienced Python Developer to join a dynamic development team. With 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks, you will play a crucial role in developing robust and high-performance solutions. Collaboration with design, frontend, and DevOps teams is essential for successful project delivery. Your key responsibilities will include developing, testing, and maintaining backend applications using Django, Flask, or FastAPI. You will build RESTful APIs, integrate third-party services, and utilize data handling libraries like Pandas and NumPy for efficient data processing. Writing clean, maintainable, and well-documented code that follows industry best practices is a must. Additionally, participation in code reviews, mentoring junior developers, and troubleshooting production issues are part of your role. To excel in this position, you must have 2 to 5 years of backend development experience with Python. Proficiency in core and advanced Python concepts, strong command over at least one Python framework, experience with data libraries, and familiarity with version control systems are required. Comfort working in Linux environments, expertise in backend Python development, strong debugging skills, and experience with API development and microservices architecture are essential skills. Desirable skills include experience with Generative AI frameworks, exposure to Machine Learning libraries, knowledge of containerization tools, familiarity with web servers, understanding of asynchronous programming, and Agile practices. Exposure to CI/CD pipelines and cloud platforms will be beneficial. The company specializes in delivering cutting-edge solutions in custom software, web, and AI development. The work culture emphasizes a unique blend of in-office and remote collaboration, prioritizing employees above all else. Continuous learning, leadership opportunities, and mutual respect are encouraged, fostering an environment where individuals are valued and supported in achieving their fullest potential. As part of the benefits and perks, you can expect a competitive salary of up to 6-10 LPA based on skills and experience, generous time off with 18 annual holidays for work-life balance, extensive learning opportunities, and valuable client exposure to enhance your professional growth.,

As a skilled developer, you will be responsible for developing responsive web interfaces using ReactJS and Typescript. Your tasks will include building reusable UI components with a component-based architecture (Hooks, Redux) to optimize performance, accessibility, and user experience. In the realm of Backend & Middleware, you will be developing RESTful APIs using Python frameworks like FastAPI, Flask, or Django REST Framework. Your role will involve integrating frontend applications with backend services and external APIs, implementing secure authentication and authorization (JWT, OAuth), and writing clean, scalable, and testable backend code. Additionally, you will build and maintain data processing pipelines and service integrations. For DevOps & Integration, you will utilize Docker for containerized development and deployment, collaborate with DevOps to implement CI/CD pipelines (ArgoCD), and manage the codebase using Git (GitHub). You will also conduct and maintain unit testing using tools like Pytest and Jest. In terms of Required Skills & Qualifications, you are expected to have hands-on experience in Python and ReactJS, strong experience in designing and integrating RESTful APIs, and familiarity with databases such as PostgreSQL and MySQL. A technical degree to validate your experience is required, along with deep technical expertise. You should display a solid understanding of the technology required, strong problem-solving skills, and the ability to work independently with minimum supervision. Being a good collaborator, a team player, and having experience with Agile/Scrum methodologies are essential. In the Backend domain, solid experience with FastAPI, Flask, or Django, proficiency in working with JSON and exception handling, and understanding of microservices, multithreading, and async I/O are necessary. On the Frontend side, experience with TypeScript and familiarity with UI libraries such as Shadcn UI and Tailwind CSS are expected. Nice to have qualifications include experience with AWS and exposure to Agile SAFe practices. Soft skills such as excellent problem-solving and analytical skills, strong written and verbal communication, self-motivation, ability to work independently and in a team, and being detail-oriented with a commitment to delivering high-quality code are valued. In conclusion, as a part of Virtusa, a global team that values teamwork, quality of life, and professional and personal development, you will have the opportunity to work on exciting projects and utilize state-of-the-art technologies. Collaboration, innovation, and excellence are at the core of Virtusa, providing a dynamic environment to nurture new ideas and foster growth and potential.,

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and debugging processes to deliver high-quality applications that meet user expectations and business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Strong understanding of application development frameworks and methodologies. - Experience with database management and SQL. - Familiarity with version control systems such as Git. - Knowledge of software testing and debugging techniques. Roles & Responsibilities: - Strong hands-on experience with Python 4+, writing clean, modular, and testable code, and building asynchronous APIs using FastAPI, leveraging async/await, Starlette, and Pydantic for validation. Skilled in handling large datasets using pagination, streaming responses, and batching techniques, with lazy loading, and session management using SQLAlchemy for efficient PostgreSQL interaction. Proficient in background task processing using FastAPI's Background Tasks , and implementing unit/integration tests with pytest, httpx, and pytest-asyncio to ensure backend reliability and performance. Experienced in prompt engineering for OpenAI/GPT APIs, including crafting closed-ended and open-ended prompts, understanding context window limits (16k/32k), prompt truncation, rate-limiting, token usage tracking, and sending chunked JSON payloads for model consumption. Working knowledge of Dockerizing FastAPI apps, deploying with multi-stage builds, integrating CI/CD pipelines using GitHub Actions., 15 years full time education

Job Title: Lead / Senior Python Developer with Azure Services Location: Remote Experience: 7+ Years Notice Period: Immediate to 15 days Salary: Up to ₹23 LPA 🛠️ Key Skills (Mandatory): Core Python Development Real-time hands-on with Azure Services: Azure Functions, Blob Storage, Azure Queue, Event Hub, Key Vault, Cosmos DB, Event Grid / Service Bus, MSSQL Other Tech: EKS, Azure Container Instances, Agile, Jira 📌 Job Responsibilities: Lead the design and development of scalable Python applications integrated with Azure cloud services. Guide a team of Python developers, offer technical mentorship. Build RESTful APIs using frameworks like FastAPI, Flask, or Django. Design and implement CI/CD pipelines (Terraform), and manage source control (Git/Bitbucket). Collaborate with product owners and architects in Agile environment. 🌐 Additional Tech Stack Advantageous: PostgreSQL, MongoDB, AWS Aurora, DynamoDB Authentication (AWS Cognito), Docker, EKS RESTful APIs, JSON, Unit Testing 🚀 If you're passionate about building high-performance, cloud-native applications and leading a dynamic development team—we want to hear from you!

About the Company: Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Website https://www.teksystems.com/en/careers-in-india Position Summary: We are seeking a highly skilled and experienced AI/ML Engineer with 3-5 years of hands-on experience in developing and deploying advanced AI solutions, specifically focusing on Generative AI and Agentic AI. The ideal candidate will possess a strong understanding of large language models (LLMs), prompt engineering, and the principles behind building autonomous AI agents capable of reasoning, planning, and taking actions to achieve complex objectives. You will be instrumental in designing, implementing, and integrating these cutting-edge AI systems on leading cloud platforms (AWS, Azure, or GCP). Key Responsibilities: • Generative AI Development: Design, develop, and implement advanced generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) for diverse applications such as content creation, code generation, data synthesis, or other relevant domains. • Agentic AI System Design & Implementation: Architect, develop, and deploy autonomous AI agents capable of breaking down complex goals, making decisions based on context, interacting with external tools and APIs, and taking multi-step actions to achieve objectives with minimal human intervention. • Prompt Engineering & Orchestration: Master prompt engineering techniques to optimize the behavior and output of LLMs and design sophisticated orchestration mechanisms for coordinating multiple AI agents in complex workflows. • Cloud Platform Deployment: Leverage expertise in AWS, Azure, or GCP to deploy, manage, and scale Generative and Agentic AI models and pipelines. Utilize relevant cloud services (e.g., AWS SageMaker, Azure ML, Google AI Platform, Kubernetes, serverless functions, MLOps tools). • Model Training & Optimization: Train, fine-tune, and optimize generative and agentic AI models for performance, scalability, reliability, and efficiency, utilizing large datasets and advanced techniques. • Tool Integration for Agents: Integrate AI agents with various external tools, APIs, and data sources to expand their capabilities and enable them to interact with real-world systems. • Data Management for AI: Work with large and diverse datasets, including data collection, cleaning, transformation, and feature engineering, to ensure high-quality input for both generative and agentic models. This includes handling unstructured data (PDFs, HTML, audio, video) for processing. • Research & Innovation: Stay abreast of the latest advancements in Generative AI, Agentic AI, LLMs, and multi-agent systems research. Experiment with new frameworks (e.g., LangChain, AutoGen, CrewAI, LangGraph, Semantic Kernel) and identify opportunities to apply novel techniques. • MLOps & Productionization: Implement robust MLOps practices for the full lifecycle of AI models, including versioning, continuous integration/continuous delivery (CI/CD), monitoring, and automated retraining. Ensure the reliability and scalability of deployed AI systems. • Evaluation & Responsible AI: Develop and implement rigorous evaluation frameworks for assessing the performance, safety, and ethical implications of generative and agentic AI systems. Promote and adhere to principles of responsible AI development. • Collaboration & Communication: Collaborate effectively with cross-functional teams (data scientists, software engineers, product managers, business stakeholders) to translate business requirements into technical solutions and communicate complex AI concepts clearly. Required Skills & Qualifications: • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field. • 3-5 years of hands-on experience in AI/ML engineering, with a demonstrable focus on Generative AI and/or Agentic AI projects. • Strong practical experience with Generative AI models (e.g., LLMs, Transformers, GANs, Diffusion Models) and their applications. • Hands-on experience in designing, building, and deploying autonomous AI agents or multi-agent systems, utilizing frameworks like LangChain, AutoGen, CrewAI, or LangGraph. • Proficiency in Python and strong experience with major ML frameworks such as TensorFlow, PyTorch, or Keras. • Demonstrated experience with prompt engineering techniques for optimizing LLM behavior. • Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform: o AWS: Experience with services like SageMaker, EC2, Lambda, Bedrock, Open Search. o Azure: Experience with Azure Machine Learning, Azure Functions, Azure OpenAI Service. o GCP: Experience with Google AI Platform (Vertex AI), Cloud Functions. • Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques (e.g., RAG). • Familiarity with containerization technologies (Docker, Kubernetes). • Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management. • Excellent problem-solving, analytical, and critical thinking skills. • Strong verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences. Preferred Skills (Nice to Have): • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Azure AI Search) and knowledge graphs. • Familiarity with full-stack development, including building RESTful APIs using frameworks like FastAPI, Flask, or Django. • Experience with model evaluation tools like DeepEval, FMeval, or RAGAS. • Knowledge of prompt engineering frameworks (e.g., LangChain, LlamaIndex). • Knowledge of reinforcement learning and multi-agent reinforcement learning. • Contributions to open-source AI projects or relevant publications. • Experience with data orchestration tools (e.g., Apache Airflow).

Job Title: Python Developer – Data Science & GenAI Solutions Experience: 8-11 years Department: AI/ML Engineering Band – C Job Summary We are seeking a highly motivated and skilled Python Developer with a strong foundation in automation, data science, machine learning, and NLP . The ideal candidate will also have hands-on experience or working knowledge of Generative AI (GenAI) techniques, particularly with Retrieval-Augmented Generation (RAG) implementations. This role requires the ability to work collaboratively across teams, write clean and scalable code, and develop intelligent solutions that drive impact. Key Responsibilities Develop and maintain Python-based automation scripts and pipelines for data ingestion, transformation, and model deployment. Build, train, and deploy machine learning models for predictive analytics and classification/regression tasks. Perform text analytics and Natural Language Processing (NLP), including text preprocessing, named entity recognition (NER), sentiment analysis, and topic modeling. Design and implement Generative AI solutions, including RAG pipelines, using tools like LangChain, LlamaIndex, or similar frameworks. Collaborate with data scientists and DevOps engineers to deploy solutions using cloud-native technologies (AWS preferred). Integrate models into production systems and ensure continuous delivery using version control systems like GitHub. Document code, workflows, and modeling decisions for both technical and non-technical stakeholders. Required Skills And Qualifications Strong proficiency in Python and related libraries (e.g., Pandas, NumPy, Scikit-learn, FastAPI/Flask). Experience with automation frameworks and scripting tools for ETL or system processes. Solid background in data science and ML model development, including model evaluation and optimization. Working knowledge of NLP libraries (e.g., SpaCy, NLTK, HuggingFace Transformers). Familiarity with GenAI technologies, including prompt engineering, fine-tuning, and RAG architecture. Hands-on experience with Git/GitHub for version control and collaboration. Understanding of cloud-native architecture and ability to work in cloud environments (AWS). Ability to write modular, reusable, and well-tested code. Preferred Qualifications Exposure to MLOps practices including CI/CD for ML, model monitoring, and pipelines. Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) for RAG-based solutions. Knowledge of REST APIs and microservices architecture.

Job Title: Technical Implementation Engineer Location: [Remote – India] Employment Type: Full-time About Us: We’re a fast-growing AI + IT startup solving complex enterprise challenges for Fortune 1000 clients. Our platform combines advanced technology with seamless deployment to transform how businesses operate, scale, and respond. As we continue to grow, we’re looking for a Technical Implementation Engineer who thrives at the intersection of hands-on execution and strategic delivery to bring our product to life across dynamic enterprise environments. What You'll Do: Lead end-to-end technical delivery and deployment of our solution for enterprise customers Collaborate with cross-functional teams—Product, Engineering, Customer Success—to drive successful implementations Engage directly with client IT teams to understand infrastructure, security, and integration needs Configure and deploy software across complex environments, ensuring rollout success and optimal performance Serve as the technical point of contact during onboarding, pilots, and go-lives Troubleshoot deployment issues and contribute to continuous improvement of processes and documentation Support post-deployment monitoring, performance tuning, and ongoing optimization Share knowledge internally to help standardize best practices across deployment efforts Must-Have Skills & Experience: 5+ years of experience in technical delivery, deployment engineering, or solution implementation in complex enterprise IT environments Hands-on experience deploying SaaS, cloud, or hybrid solutions at scale Solid understanding of enterprise IT infrastructure, including networks, APIs, security protocols, and system integrations Strong Python programming skills Proficiency with FastAPI or comparable frameworks (e.g., Flask, Django REST Framework) Skilled in working with relational databases, particularly PostgreSQL Experience deploying and operating applications in Kubernetes environments Familiarity with cloud platforms such as AWS, Azure, or GCP is a plus Ability to translate business requirements into scalable deployment workflows Strong analytical and troubleshooting skills Excellent communication and collaboration abilities, including client-facing interactions Experience working with Fortune 1000 clients is a strong advantage Other Responsibilities: Provide technical support to enterprise accounts, resolving client issues and ensuring timely follow-through Act as a bridge between clients and the product team, sharing structured technical feedback from real-world deployments Participate in hands-on product testing to validate quality, performance, and enterprise readiness Why Join Us: Be part of a purpose-driven team pioneering Agentic AI —building intelligent systems that take action, adapt in real time, and solve complex enterprise challenges with real-world impact.

Lead Python Developer with 8+ yrs exp. in Django, Flask, FastAPI, Microservices, AWS, ONVIF, Socket APIs, PostgreSQL, and edge devices. Based in Navi Mumbai, CTC up to 22 LPA.

Responsibilities: * Design, develop, test & maintain backend systems using Node.JS, ExpressJS, FastAPI & Python. * Collaborate with cross-functional teams on project delivery within AWS environment. Work from home Leave encashment