4097 Fastapi Jobs - Page 43

This is an WFO opportunity. Please do NOT apply if you are looking for a hybrid or WFH model. This is a Noida-based job. Please do NOT apply unless you are already in the NCR or actively looking to relocate to the NCR. We need a minimum of 2 years of experience. Do NOT apply unless you have a minimum of 2 years of hands-on experience in the job described in the JD below. Position : NLP & Generative AI Engineer Location : Noida Department : AI/ML Employment Type : Full-time About Gigaforce Gigaforce is a California-based InsurTech company delivering a next-generation, SaaS-based claims platform purpose-built for the Property and Casualty industry. Our blockchain-optimized solution integrates artificial intelligence (AI)-powered predictive models with deep domain expertise to streamline and accelerate subrogation and claims processing. Whether for insurers, recovery vendors, or other ecosystem participants, Gigaforce transforms the traditionally fragmented claims lifecycle into an intelligent, end-to-end digital experience. Recognized as one of the most promising emerging players in the insurance technology space, Gigaforce has already achieved significant milestones. We were a finalist for InsurtechNY, a leading platform accelerating innovation in the insurance industry, and twice named a Top 50 company by the TiE Silicon Valley community. Additionally, Plug and Play Tech Center, the worlds largest early-stage investor and innovation accelerator, selected Gigaforce to join its prestigious global accelerator headquartered in Sunnyvale, California. At the core of our platform is a commitment to cutting-edge innovation. We harness the power of technologies such as AI, Machine Learning, Robotic Process Automation, Blockchain, Big Data, and Cloud Computingleveraging modern languages and frameworks like Java, Kotlin, Angular, and Node.js. We are driven by a culture of curiosity, excellence, and inclusion. At Gigaforce, we hire top talent and provide an environment where every voice matters and every idea is valued. Our employees enjoy comprehensive medical benefits, equity participation, meal cards and generous paid time off. As an equal opportunity employer, we are proud to foster a diverse, equitable, and inclusive workplace that empowers all team members to thrive. Were seeking a NLP & Generative AI Engineers with 2-8 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques. If you have experience deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines, this is the role for you. Youll work in a high-impact role, leading the design, development, and deployment of innovative AI/ML solutions for insurance claims processing and beyond. In this agile environment, you'll work within structured sprints and leverage data-driven insights and user feedback to guide decision-making. You'll balance strategic vision with tactical execution to ensure we continue to lead the industry in subrogation automation and claims optimization for the property and casualty insurance market. Key Responsibilities Build and deploy end-to-end NLP and GenAI-driven products focused on document understanding, summarization, classification, and retrieval. Design and implement models leveraging LLMs (e.g., GPT, T5, BERT) with capabilities like fine-tuning, instruction tuning, and prompt engineering. Work on scalable, cloud-based pipelines for training, serving, and monitoring models. Handle unstructured data from insurance-related documents such as claims, legal texts, and contracts. Collaborate cross-functionally with data scientists, ML engineers, product managers, and developers. Utilize and contribute to open-source tools and frameworks in the ML ecosystem. Deploy production-ready solutions using MLOps practices : Docker, Kubernetes, Airflow, MLflow, etc. Work on distributed/cloud systems (AWS, GCP, or Azure) with GPU-accelerated workflows. Evaluate and experiment with open-source LLMs and embeddings models (e.g., LangChain, Haystack, LlamaIndex, HuggingFace). Champion best practices in model validation, reproducibility, and responsible AI. Required Skills & Qualifications 2-8 years of experience as a Data Scientist, NLP Engineer, or ML Engineer. Strong grasp of traditional ML algorithms (SVMs, gradient boosting, etc.) and NLP fundamentals (word embeddings, topic modeling, text classification). Proven expertise in modern NLP & GenAI models, including : Transformer architectures (e.g., BERT, GPT, T5) Generative tasks : summarization, QA, chatbots, etc. Fine-tuning & prompt engineering for LLMs Experience with cloud platforms (especially AWS SageMaker, GCP, or Azure ML). Strong coding skills in Python, with libraries like Hugging Face, PyTorch, TensorFlow, Scikit-learn. Experience with open-source frameworks (LangChain, LlamaIndex, Haystack) preferred. Experience in document processing pipelines and understanding structured/unstructured insurance documents is a big plus. Familiar with MLOps tools such as MLflow, DVC, FastAPI, Docker, KubeFlow, Airflow. Familiarity with distributed computing and large-scale data processing (Spark, Hadoop, Databricks). Preferred Qualifications Experience deploying GenAI models in production environments. Contributions to open-source projects in ML/NLP/LLM space. Background in insurance, legal, or financial domain involving text-heavy workflows. Strong understanding of data privacy, ethical AI, and responsible model usage. (ref:hirist.tech)

About Flutter Entertainment Flutter Entertainment is the world's largest sports betting and iGaming operator with 13.9 million average monthly players worldwide and an annual revenue of $14Bn in 2024. The company boasts a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games, and Sportsbet. Listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE), Flutter Entertainment was recognized in TIME's 100 Most Influential Companies under the "Pioneers" category in 2024. The company's ambition is to revolutionize global gaming and betting to drive long-term growth and a positive, sustainable future for the sector. Together, the team at Flutter Entertainment is dedicated to Changing the Game! Working at Flutter provides a unique opportunity to be part of a growing portfolio of brands across various avenues. The company is committed to supporting its employees at every stage to facilitate their growth. Much like the brands it represents, Flutter ensures that its people are equipped with everything they need to succeed. Flutter Entertainment India Located in one of India's premier technology parks, our Hyderabad office serves as the Global Capability Center for Flutter Entertainment. This hub, home to over 900+ talented colleagues, specializes in Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other essential functions. Committed to creating impactful solutions for all brands and divisions, Flutter Entertainment's Hyderabad office aims to power the company's exceptional growth and global impact. With the scale of a leader and the mindset of a challenger, the team is devoted to creating a brighter future for customers, colleagues, and communities. Overview Of The Role We are seeking a technically skilled engineer with experience in both infrastructure and backend development to join our team. This role involves managing and configuring Kubernetes environments, handling Kafka setup and access control, and developing internal services and tools in Python. What You Will Do As a Cloud Engineer at Flutter Entertainment, your responsibilities will include managing and evolving core infrastructure components primarily based on Kubernetes and Kafka. You will support the deployment, configuration, and maintenance of these systems to ensure scalability, reliability, and security. Additionally, you will develop internal services and automation tools in Python to enhance workflows, support development teams, and enable faster delivery cycles. Collaboration is essential, and you will work closely with DevOps, Data, and Software Engineering teams to streamline infrastructure operations, improve observability, and maintain a consistent development environment across teams. This position calls for a combination of hands-on infrastructure expertise and software engineering skills. Key Responsibilities - Manage Kubernetes-based infrastructure, including deploying, configuring, and maintaining resources (Helm, namespaces, secrets, etc.). - Handle Kafka environments by setting up topics, configuring users, managing ACLs, and ensuring proper access control. - Develop and maintain internal Python-based services and tools for automation and platform operations. - Implement and maintain monitoring, alerting, and logging for infrastructure components (Prometheus, Grafana, etc.). - Collaborate with other teams to enhance CI/CD pipelines and deployment processes. Must-have Skills - Bachelors degree in Computer Science, Information Technology, or a related field. - 3 to 5 years of experience in Cloud Engineering or a similar role. - Solid experience with Kubernetes, including deploying, configuring, and managing containerized workloads. - Good understanding of Kafka, covering topic management, user and ACL configuration, performance, and monitoring. - Proficiency in Python for backend services and tooling, with experience in frameworks like FastAPI, Flask, or similar being a plus. - Familiarity with CI/CD pipelines, infrastructure automation, and Git workflows. - Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills. Nice-to-have Skills - Knowledge of Cloud Computing, preferably AWS. - Understanding of event-driven architectures and real-time data streaming patterns. - Hands-on experience with Infrastructure as Code approaches and tools such as Terraform and CloudFormation. Benefits We Offer In addition to a competitive base salary, we provide a comprehensive benefits and rewards program designed to promote personal and career development. This package includes access to Learnerbly, Udemy, and a Self-Development Fund for upskilling, career growth through Internal Mobility Programs, comprehensive Health Insurance for you and your dependents, a Well-Being Fund, and 24/7 Assistance Program for holistic wellness. We offer a Hybrid Model with 2 office days/week, flexible leave policies, including maternity, paternity, and sabbaticals, Free Meals, Cab Allowance, and Home Office Setup Allowance, Employer PF Contribution, gratuity, Personal Accident & Life Insurance, a Sharesave Plan, Volunteering Leave, and Team Events for building connections. Recognition is provided through the Kudos Platform and Referral Rewards. Why Choose Us Flutter is an equal-opportunity employer that values the unique perspectives and experiences each individual brings. We are dedicated to welcoming everyone and ensuring that every voice is heard. With ambitious growth plans and goals for the future, this is an opportunity for you to play a significant role in shaping the future of Flutter Entertainment India.,

As the Head of Engineering for our AI-powered Autonomous Cloud Portal, you will play a crucial role in leading multiple engineering teams through the full software development life cycle. Your responsibilities will include fostering an innovative engineering culture, defining and executing technical strategies, collaborating with various teams, establishing agile practices, and ensuring compliance with security and regulatory standards. In this leadership position, you will be responsible for building, mentoring, and overseeing cross-functional teams encompassing backend, frontend, AI/ML, QA, and DevOps. Your focus will be on promoting innovation, ownership, quality, and continuous improvement within the engineering organization. Additionally, you will drive the recruitment, training, and performance management processes for engineering personnel. Your expertise in cloud-native systems, AI/ML integration, and DevOps practices will be essential for defining and executing the engineering roadmap aligned with business objectives. You will be tasked with upholding best practices in architecture, security, scalability, testing, and continuous integration/continuous deployment (CI/CD). Regularly reviewing technical designs and code to ensure the feasibility and high standards of AI-driven features will also be a key aspect of your role. Collaboration with Product Management, Solution Architects, and Cloud Architects will be imperative to deliver seamless features. You will be responsible for ensuring effective coordination between teams for planning, sprints, releases, and documentation, as well as managing stakeholder communications related to technical deliverables and team velocity. Establishing Agile practices, conducting sprint reviews and retrospectives, and implementing engineering key performance indicators (KPIs), quality assurance (QA) standards, and incident handling processes will fall under your purview. Furthermore, you will oversee compliance with security and regulatory requirements in cloud environments. To qualify for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with at least 10 years of engineering experience, including a minimum of 3 years in leadership positions. Your technical expertise should include a strong background in Python, FastAPI/Django, and DevOps pipelines, as well as familiarity with system design, microservices, AI integration, and distributed systems. Experience in building AI/ML-enabled enterprise platforms, knowledge of cloud platforms such as AWS, Azure, or GCP, familiarity with compliance standards like ISO, NIST, SOC2, and knowledge of observability platforms like Grafana, Prometheus, and ELK would be advantageous. Join us to lead the development of an AI cloud automation platform, build high-performing engineering teams, and make a significant impact on architecture, product delivery, and AI integration within a cutting-edge technology environment.,

You will be responsible for building and maintaining backend logic in PHP (CodeIgniter) and Python (Flask, FastAPI, etc.). Additionally, you will design and implement computer vision workflows using tools such as OpenCV, YOLOv8, MediaPipe, or equivalent tools. Your tasks will involve working with image/video inputs to perform real-time detection of various elements like faces, objects, license plates, hazards, etc. Furthermore, you will integrate with third-party APIs, IoT devices, and edge-based platforms such as Jetson Nano, Raspberry Pi. It will be crucial for you to optimize vision pipelines for enhanced performance, accuracy, and reliability. Your role will also include deploying and enhancing full-stack solutions. To excel in this position, you should hold a Bachelor's degree and possess a minimum of 3 years of hands-on experience with PHP and Python. Demonstrated expertise with OpenCV and YOLO (v5/v8 preferred) is essential. A strong understanding of image processing, video analytics, and real-time detection is required. Proficiency in Linux environments, Git, and REST APIs is expected. Familiarity with edge AI, ONNX, or experience in deploying models on Jetson/Raspberry Pi will be advantageous. Knowledge of object tracking, counting, pose estimation, etc., will also be beneficial for this role.,

The company Exela, a global leader in business process automation (BPA), is seeking a skilled Python Developer with a strong programming background and a fundamental understanding of AI concepts. The ideal candidate will be responsible for designing, developing, testing, and maintaining Python applications and services. They will also collaborate with data teams on integration and automation tasks. Key Responsibilities: - Design, develop, test, and maintain Python applications and services - Utilize REST APIs, data pipelines, and automation scripts - Work on LLM integration, LangGraph, LangChain, preprocessing, and reporting - Write clean, maintainable, and efficient code - Conduct unit testing and participate in code reviews - Optimize performance and troubleshoot production issues Qualifications: - Strong proficiency in Python, including OOP, standard libraries, file I/O, and error handling - Experience with frameworks such as Flask, FastAPI, or Django - Basic understanding of pandas, NumPy, and data manipulation - Familiarity with Git and version control best practices - Experience working with JSON, CSV, and APIs If you are a motivated individual with a passion for Python development and AI technologies, this position offers an exciting opportunity to work on cutting-edge projects in a dynamic and collaborative environment. Join Exela's team of professionals and contribute to the success of our innovative solutions.,

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 play a key role in building Python applications using FastAPI and other web technologies. Your expertise will contribute to the management and optimization of scripts for efficient data loads. Collaboration with senior developers and cross-functional teams is essential to implement features and services effectively. Participation in code reviews to ensure adherence to best coding practices, debugging, and troubleshooting application issues will be part of your daily tasks. You will also be involved in testing and validating code to ensure functionality and performance, along with documenting development work, processes, and code changes. To excel in this role, you must have a strong understanding of Python syntax, data structures, and object-oriented programming principles. Familiarity with Python web frameworks such as Django, Flask, or FastAPI is required. Experience working with relational databases like PostgreSQL or NoSQL databases like MongoDB is preferred. Knowledge of RESTful API design and consumption, hands-on experience with Git, and good analytical and problem-solving skills are essential for success in this position. Clear written and verbal communication skills are important for effective collaboration within the team. Continuous learning and staying updated with emerging technologies and industry trends will be encouraged to enhance your skills and contribute to the growth of the organization.,

Software Developer - Full Stack (React/Python) nCare, Inc, California, US www.ncaremd.com Position Summary We are seeking an experienced Software Developer with 3+ years of hands-on development experience to join our dynamic engineering team. The ideal candidate will be proficient in modern frontend technologies (React, NextJS), backend development (Python), databases(PostgreSQL) and cloud platforms (Google Cloud), while demonstrating expertise in AI-powered development tools and workflows. Open to working on project/contract basis too. Key Responsibilities Development & Engineering Design, develop, and maintain scalable web applications using React and NextJS Build robust backend services and APIs using Python (FastAPI frameworks) Design and optimize PostgreSQL databases, write efficient queries, and manage database migrations Implement responsive, user-friendly interfaces with modern JavaScript, HTML5, and CSS3 Develop and optimize database interactions and data pipelines Ensure code quality through comprehensive testing, code reviews, and debugging Cloud & Infrastructure Deploy and manage applications on Google Cloud Platform (GCP) Utilize Google Cloud services including Cloud Run, Cloud Storage, Cloud SQL, Vertex AI and other services. Implement CI/CD pipelines and DevOps best practices Monitor application performance and optimize for scalability AI-Enhanced Development Leverage AI development tools (GitHub Copilot, Gemini Code Assist, or similar) to accelerate development cycles Integrate AI/ML capabilities into applications using Google Cloud AI services Stay current with emerging AI tools and incorporate them into development workflows Contribute to improving team productivity through AI-assisted coding practices Collaboration & Communication Work closely with cross-functional teams including designers, product managers, and other developers Participate in code reviews and provide constructive feedback to team members Document technical solutions and maintain clear project documentation Communicate technical concepts effectively to both technical and non-technical stakeholders Required Qualifications Technical Skills 3+ years of professional software development experience Frontend Development: Proficiency in React.js and NextJS Strong knowledge of JavaScript (ES6+), HTML5, CSS3 Experience with state management (Redux, Context API) Familiarity with modern build tools (Webpack, Vite) and package managers (npm, yarn) Backend Development: Strong Python programming skills Experience with web frameworks (Django, Flask, or FastAPI) Knowledge of RESTful API design and implementation Proficiency with PostgreSQL database design, optimization, and management Experience with SQL queries, database migrations, and ORM frameworks Additional experience with NoSQL databases is a plus Google Cloud Platform: Hands-on experience with GCP services and deployment Understanding of cloud architecture patterns Experience with containerization (Docker) and orchestration AI Development Tools: Demonstrated experience using AI-powered development tools (Copilot, ChatGPT, Claude, Gemini, etc.) Ability to effectively prompt and collaborate with AI assistants Experience optimizing development workflows with AI tools Core Competencies Problem-Solving: Strong analytical and critical thinking skills with ability to debug complex issues Quick Learner: Demonstrated ability to rapidly adapt to new technologies and frameworks Communication: Excellent verbal and written communication skills Team Collaboration: Experience working in agile development environments Additional Requirements Experience with version control systems (Git) and collaborative development workflows Knowledge building AI agents. Understanding of software testing principles and frameworks (Jest, pytest) Knowledge of web performance optimization and security best practices Familiarity with responsive design and cross-browser compatibility Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Experience with TypeScript Knowledge of GraphQL and modern API technologies Familiarity with machine learning concepts and implementation Previous experience in agile/scrum development methodologies Contributions to open-source projects or active GitHub profile Experience with monitoring and logging tools

Job Title - Python Backend Developer -GenAI/OpenAI/Fast API Location - Bangalore, Mumbai, Pune, Chennai, Hyderabad, Kolkata Total exp : 6 to 12 years Interview Mode : 1 virtual; 1 face to face Job Description - Role Overview We are seeking a skilled Python Backend Developer with hands-on experience in FastAPI, system architecture, and end-to-end deployments. Exposure to Generative AI technologies, especially Azure OpenAI, is a strong advantage. This role involves building scalable backend systems, integrating AI capabilities, and working with unstructured data formats like PDFs and Word documents Key Responsibilities Design and develop robust backend systems using Python and FastAPI Build and deploy RESTful APIs to support AI-driven applications Implement end-to-end system solutions, including architecture, development, testing, and deployment Integrate Azure OpenAI models and embeddings into enterprise applications (RAG, prompt engineering) Process and transform unstructured/semi-structured content (PDFs, DOCs, JSON) into structured formats Collaborate with cross-functional teams and clients to deliver scalable solutions Ensure security, performance, and reusability of backend components Communicate technical concepts effectively to both technical and non-technical stakeholders Qualifications 6–12 years of backend development experience with Python Strong expertise in FastAPI, API design, and integration Experience with Azure OpenAI, embeddings, and prompt engineering Familiarity with semantic search and handling unstructured data Proven track record of end-to-end system implementation and deployment Excellent communication and client-facing skills Nice to Have Exposure to GraphRAG, Agentic AI, or similar advanced Gen AI architectures Experience with LangChain or other orchestration frameworks Background in document-heavy domains like legal, finance, or compliance Knowledge of CI/CD pipelines, containerization (Docker), and cloud deployments (Azure preferred)

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including Asset management, Banking and Capital Markets, Insurance and Private Equity, Health, Government, Power and Utilities, we provide integrated advisory, assurance, tax, and transaction services. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development. That’s how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well, this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. We’re seeking a versatile Full Stack Developer with hands-on experience in Python (including multithreading and popular libraries) ,GenAI and AWS cloud services. The ideal candidate should be proficient in backend development using NodeJS, ExpressJS, Python Flask/FastAPI, and RESTful API design. On the frontend, strong skills in Angular, ReactJS, TypeScript, etc.EY Digital Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Digital Engineering (DE) practice works with clients to analyse, formulate, design, mobilize and drive digital transformation initiatives. We advise clients on their most pressing digital challenges and opportunities surround business strategy, customer, growth, profit optimization, innovation, technology strategy, and digital transformation. We also have a unique ability to help our clients translate strategy into actionable technical design, and transformation planning/mobilization. Through our unique combination of competencies and solutions, EY’s DE team helps our clients sustain competitive advantage and profitability by developing strategies to stay ahead of the rapid pace of change and disruption and supporting the execution of complex transformations. Your Key Responsibilities Application Development: Design and develop cloud-native applications and services using AWS services such as Lambda, API Gateway, ECS, EKS, and DynamoDB, Glue, Redshift, EMR. Deployment and Automation: Implement CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy to automate application deployment and updates. Architecture Design: Collaborate with architects and other engineers to design scalable and secure application architectures on AWS. Performance Tuning: Monitor application performance and implement optimizations to enhance reliability, scalability, and efficiency. Security: Implement security best practices for AWS applications, including identity and access management (IAM), encryption, and secure coding practices. Container Services Management: Design and deploy containerized applications using AWS services such as Amazon ECS (Elastic Container Service), Amazon EKS (Elastic Kubernetes Service), and AWS Fargate. Configure and manage container orchestration, scaling, and deployment strategies. Optimize container performance and resource utilization by tuning settings and configurations. Application Observability: Implement and manage application observability tools such as AWS CloudWatch, AWS X-Ray, Prometheus, Grafana, and ELK Stack (Elasticsearch, Logstash, Kibana). Develop and configure monitoring, logging, and alerting systems to provide insights into application performance and health. Create dashboards and reports to visualize application metrics and logs for proactive monitoring and troubleshooting. Integration: Integrate AWS services with application components and external systems, ensuring smooth and efficient data flow. Troubleshooting: Diagnose and resolve issues related to application performance, availability, and reliability. Documentation: Create and maintain comprehensive documentation for application design, deployment processes, and configuration. Skills And Attributes For Success Required Skills: AWS Services: Proficiency in AWS services such as Lambda, API Gateway, ECS, EKS, DynamoDB, S3, and RDS, Glue, Redshift, EMR. Backend: Python (multithreading, Flask, FastAPI), NodeJS, ExpressJS, REST APIs Frontend: Angular, ReactJS, TypeScript Cloud Engineering : Development with AWS (Lambda, EC2, S3, API Gateway, DynamoDB), Docker, Git, etc. Proven experience in developing and deploying AI solutions with Python, JavaScript Strong background in machine learning, deep learning, and data modelling. Good to have: CI/CD pipelines, full-stack architecture, unit testing, API integration Security: Understanding of AWS security best practices, including IAM, KMS, and encryption. Observability Tools: Proficiency in using observability tools like AWS CloudWatch, AWS X-Ray, Prometheus, Grafana, and ELK Stack. Container Orchestration: Knowledge of container orchestration concepts and tools, including Kubernetes and Docker Swarm. Monitoring: Experience with monitoring and logging tools such as AWS CloudWatch, CloudTrail, or ELK Stack. Collaboration: Strong teamwork and communication skills with the ability to work effectively with cross-functional teams. Preferred Qualifications: Certifications: AWS Certified Solutions Architect – Associate or Professional, AWS Certified Developer – Associate, or similar certifications. Experience: At least 5 Years of experience in an application engineering role with a focus on AWS technologies. Agile Methodologies: Familiarity with Agile development practices and methodologies. Problem-Solving: Strong analytical skills with the ability to troubleshoot and resolve complex issues. Education: Degree: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, India . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, India . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, India . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

About us Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with The Consumer Products Center of Expertise collaborates with Bain’s global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain’s proprietary CP products and solutions. These solutions aim to answer strategic questions of Bain’s CP clients relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS etc. You will work as part of the team in CP CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts working to implement cloud-based end-to-end advanced analytics solutions. Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS / Retail / TMT / Energy / CME / etc with BCN on need basis The AS is expected to have a knack for seeking out challenging problems and coming up with their own ideas, which they will be encouraged to brainstorm with their peers and managers. They should be willing to learn new techniques and be open to solving problems with an interdisciplinary approach. They must have excellent coding skills and should demonstrate a willingness to write modular, reusable, and functional code. What you’ll do Collaborate with data scientists working with Python, LLMs, NLP, and Generative AI to design, fine-tune, and deploy intelligent agents and chains-based applications. Develop and maintain front-end interfaces for AI and data science applications using React.js / Angular / Nextjs and/or Streamlit/ DASH, enhancing user interaction with complex machine learning and NLP-driven systems. Build and integrate Python-based machine learning models with backend systems via RESTful APIs using frameworks like FastAPI / Flask or Django. Translate complex business problems into scalable technical solutions, integrating AI capabilities with robust backend and frontend systems. Assist in the design and implementation of scalable data pipelines and ETL workflows using DBT, PySpark, and SQL, supporting both analytics and generative AI solutions. Leverage containerization tools like Docker and utilize Git for version control, ensuring code modularity, maintainability, and collaborative development. Deploy ML-powered and data-driven applications on cloud platforms such as AWS or Azure, optimizing for performance, scalability, and cost-efficiency. Contribute to internal AI/ML Ops platforms and tools, streamlining model deployment, monitoring, and lifecycle management. Create dashboards, visualizations, and presentations using tools like Tableau/ PowerBI, Plotly, and Seaborn to drive business insights. Proficient with Excel, and PowerPoint by showing proficiency in business communication through stakeholder interactions. About you A Master’s degree or higher in Computer Science, Data Science, Engineering, or related fields OR Bachelor's candidates with relevant industry experience will also be considered. Proven experience (2 years for Master’s; 3+ years for Bachelor’s) in AI/ML, software development, and data engineering. Solid understanding of LLMs, NLP, Generative AI, chains, agents, and model fine-tuning methodologies. Proficiency in Python, with experience using libraries such as Pandas, Numpy, Plotly, and Seaborn for data manipulation and visualization. Experience working with modern Python frameworks such as FastAPI for backend API development. Frontend development skills using HTML, CSS, JavaScript/TypeScript, and modern frameworks like React.js; Streamlit knowledge is a plus. Strong grasp of data engineering concepts – including ETL pipelines, batch processing using DBT and PySpark, and working with relational databases like PostgreSQL, Snowflake etc. Good working knowledge of cloud infrastructure (AWS and/or Azure) and deployment best practices. Familiarity with MLOps/AI Ops tools and workflows including CI/CD pipelines, monitoring, and container orchestration (with Docker and Kubernetes). Good-to-have: Experience in BI tools such as Tableau or PowerBI, Good-to-have: Prior exposure to consulting projects or CP (Consumer Products) business domain. What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

Department: Engineering / Software Development Job Overview: We are seeking a motivated and detail-oriented Junior Fullstack Software Developer to join our dynamic development team. The ideal candidate has a foundational understanding of both front-end and back-end development, a passion for learning new technologies, and a commitment to delivering high-quality software solutions. Responsibilities: Assist in the design, development, and maintenance of web applications using JavaScript, React, Node.js, Python, AWS. Write clean, efficient, and well-documented code for both client-side service-side components. Collaborate with senior developers, designers, and product managers to understand project requirements and deliver solutions. Participate in code reviews, testing, debugging, and troubleshooting to ensure application quality and performance. Help maintain technical documentation and contribute to improving development processes. Stay current with emerging technologies and industry best practices. Support and maintain existing applications by fixing bugs and implementing minor enhancements. Requirements: Bachelors degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). 0-2 years of experience in software development (internships, personal projects, freelance work not acceptable). Good understanding of front-end technologies (e.g., HTML, CSS, JavaScript, React, Angular). Good to have experience with back-end frameworks (e.g., Node.js, Express, Django, FastAPI). Knowledge of databases (SQL and/or NoSQL) like PostgreSQL, MySQL, MongoDB. Understanding of RESTful APIs and web services. Familiarity with version control tools, especially Git. Strong problem-solving skills, attention to detail, and eagerness to learn. Good communication skills and ability to work effectively in a startup environment.

Role & responsibilities Strong back-end development experience in Python and frameworks like Django , Flask , or FastAPI . Proficient in front-end development using React.js / Angular , HTML5, CSS3, JavaScript. Experience working with relational (PostgreSQL/MySQL) or NoSQL (MongoDB) databases. Hands-on experience with Git , API integration , and deployment tools. Knowledge of Docker , CI/CD pipelines , and basic cloud architecture is a plus. Develop scalable full stack applications. Build and integrate RESTful APIs. Collaborate with cross-functional teams. Write clean, testable, and efficient code. Preferred candidate profile Immediate Joiners or Max 15 Days Notice Period 3 to 6 years of relevant experience Strong problem-solving and communication skills Prior experience in contract roles is a plus

Python FastAPI Developer with 4 to 6 years of experience, ● Design, develop, and maintain scalable APIs using Python FastAPI. ● Implement and manage microservices architecture, ensuring efficient and reliable integration. ● Work with PostgreSQL and MongoDB databases to design and optimize data models. ● Integrate caching solutions using Redis to enhance application performance. ● Deploy and manage applications on AWS, utilizing cloud services effectively. ● Implement and maintain messaging solutions with RabbitMQ or Kafka. ● Utilize version control with Git, and follow Agile development practices. ● Develop and integrate RESTful and GraphQL APIs. ● Utilize Docker for containerization and manage containerized applications. ● Write and maintain unit tests, and contribute to detailed documentation. ● Leverage AI tools like Copilot and ChatGPT to enhance coding efficiency and development productivity. ● Troubleshoot and resolve issues in a timely manner, ensuring high system reliability. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹700,000.00 per year Location Type: In-person Schedule: Day shift Monday to Friday Education: Bachelor's (Preferred) Experience: Python: 4 years (Required) Work Location: In person

Job Title: Senior Python Developer (2+ Years Experience) Company: Inexoft Technologies Location: Kannur Experience: Minimum 2 years Job Description Inexoft Technologies is looking for a highly skilled and experienced Senior Python Developer to join our development team. The ideal candidate will take the lead in designing, developing, and optimizing scalable backend applications. This is a great opportunity to work on real-time projects and contribute to our technology roadmap through robust and secure development practices. Responsibilities Develop, test, and maintain scalable Python-based web applications. Design and implement RESTful APIs and integrate third-party services. Build backend systems using Django, Flask, or FastAPI frameworks. Optimize application performance and debug complex backend issues. Collaborate closely with frontend developers, DevOps engineers, and data teams. Implement best practices in coding standards, security, and automation. Write clean, reusable, and efficient code following software design principles. Work with databases such as PostgreSQL, MySQL, or MongoDB, and optimize queries for performance. Ensure high code quality through unit testing, integration testing, and CI/CD pipelines. Stay updated with the latest advancements in Python frameworks and libraries. Requirements Bachelor’s degree in Computer Science, Information Technology, or a related field. Minimum 2 years of professional experience in Python development. Strong experience with frameworks like Django, Flask, or FastAPI . Proficient in designing and consuming RESTful APIs. Good knowledge of SQL and NoSQL databases like PostgreSQL, MySQL, or MongoDB. Familiarity with version control systems such as Git . Solid understanding of web security principles and performance optimization. Experience with CI/CD pipelines and automated testing tools. Strong analytical and problem-solving skills with the ability to work in a team-oriented environment. How to Apply Send your updated resume to hcm@inexoft.com Job Type: Full-time Ability to commute/relocate: Kannur, Kerala: Reliably commute or planning to relocate before starting work (Required) Experience: Python: 2 years (Required) Work Location: In person

Backend Development Proficient in Python (2 to 5 years of experience) Hands-on experience with FastAPI or Flask Data & Search Technologies Experience with vector databases such as: PGVector OpenSearch FAISS Implementation of similarity search and embedding-based retrieval System Design & Performance Ability to design and maintain scalable, observable, and high-performance services. Bonus Skills (Nice to Have) Experience with React or frontend integration. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

About the Role We are seeking an experienced Senior DevOps/MLOps Engineer to lead and manage a high-performing engineering team. You will oversee the deployment and scaling of machine learning models and backend services using modern DevOps and MLOps practices. Proficiency in FastAPI , Docker , Kubernetes , and CI/CD is essential. Key Responsibilities Team Leadership : Guide and manage a team of DevOps/MLOps engineers. FastAPI Deployment : Optimize, containerize, and deploy FastAPI applications at scale. Infrastructure as Code (IaC) : Use tools like Terraform or Helm to manage infrastructure. Kubernetes Management : Handle multi-environment Kubernetes clusters (GKE, EKS, AKS, or on-prem). Model Ops : Manage ML model lifecycle: versioning, deployment, monitoring, and rollback. CI/CD Pipelines : Design and maintain robust pipelines for model and application deployment. Monitoring & Logging : Set up observability tools (Prometheus, Grafana, ELK, etc.). Security & Compliance : Ensure secure infrastructure and data pipelines. Required Skills FastAPI : Deep understanding of building, scaling, and securing APIs. Docker & Kubernetes : Expert-level experience in containerization and orchestration. CI/CD Tools : GitHub Actions, GitLab CI, Jenkins, ArgoCD, or similar. Cloud Platforms : AWS/GCP/Azure. Python : Strong scripting and automation skills. ML Workflow Tools (preferred): MLflow, DVC, Kubeflow, or Seldon. Preferred Qualifications Experience in managing hybrid cloud/on-premise deployments. Strong communication and mentoring skills. Understanding of data pipelines, feature stores, and model drift monitoring. Job Types: Full-time, Permanent Pay: ₹426,830.06 - ₹1,653,904.80 per year Work Location: In person Speak with the employer +91 9867786230

Experience : 3.00 + years Salary : INR 1500000-2500000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Pune) Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Anervea.AI) (*Note: This is a requirement for one of Uplers' client - Anervea.AI) What do you need for this opportunity? Must have skills required: GCP, Git, Celery, LLM, Redis, Docker, Python, FastAPI, MongoDB, PostgreSQL, SQL Anervea.AI is Looking for: Key Responsibilities Develop and maintain backend services using Python AND FastAPI Design RESTful APIs to support mobile, web, and internal systems Build data pipelines and ML integration layers Manage and optimize PostgreSQL, MongoDB, and vector databases Implement Redis-based caching and Celery task queues Deploy services using Docker; manage CI/CD pipelines and Git workflows Monitor system performance and scale services using AWS (EC2, S3, CloudWatch, SQS) Collaborate with AI teams to integrate LLM/ML functionality into APIs Write well-documented, testable, and maintainable code Track system health, perform regular debugging, and document issues/resolutions Technical Skills Required Strong Python development (3+ years) Experience with FastAPI API design and integration with frontend systems Familiarity with Redis, Celery, and Docker for scalable architecture Database design (PostgreSQL, MongoDB, or equivalent NoSQL) Basic knowledge of LLM workflows, prompt APIs, and vector stores Experience with deploying services on AWS or GCP Familiarity with Git, CI/CD, and agile workflows Bonus : Exposure to real-time analytics systems or AI-first product architectures Personal Attributes High attention to detail and clean code practices Clear ownership and reliability—can be trusted to deliver Strong collaboration across functions: AI, design, frontend, product Ability to learn new libraries and patterns quickly Accountability in timelines, QA, and production-readiness Good documentation and communication habits Bonus Qualities Experience building backend services for AI tools or dashboards Experience with structured healthcare data or digital health tools Knowledge of system design and performance optimization for scale Interview Process: 1 Technical round with Head of Engineering How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! 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 contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face 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!

Responsibilities Build and deploy production-grade ML pipelines for varied use cases across operations, manufacturing, supply chain, and more Work hands-on in designing, training, and fine-tuning models across traditional ML, deep learning, and GenAI (LLMs, diffusion models, etc.) Collaborate with data scientists to transform exploratory notebooks into scalable, maintainable, and monitored deployments Implement CI/CD pipelines, version control, and experiment tracking using tools like MLflow, DVC, or similar Do shadow deployment and A/B testing of production models Partner with data engineers to build data pipelines that support real-time or batch model inference Ensure high availability, performance, and observability of deployed ML solutions using MLOps best practices Conduct code reviews, performance tuning, and contribute to ML infrastructure improvements Support the end-to-end lifecycle of ML products Contribute to knowledge sharing, reusable component development, and internal upskilling initiatives Qualifications Bachelor's in Computer Science, Engineering, Data Science, or related field. Master’s degree preferred 4–6 years of experience in developing and deploying machine learning models, with significant exposure to MLOps practices Experience in implementing and productionizing Generative AI applications using LLMs (e.g., OpenAI, HuggingFace, LangChain, RAG architectures) Strong programming skills in Python; familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch Hands-on experience with tools like MLflow, Docker, Kubernetes, FastAPI/Flask, Airflow, Git, and cloud platforms (Azure/AWS) Solid understanding of software engineering fundamentals and DevOps/MLOps workflows Exposure to at least 2-3 industry domains (energy, manufacturing, finance, etc.) preferred Excellent problem-solving skills, ownership mindset, and ability to work in agile cross-functional teams

POSITION NAME : AI and Machine Learning Engineer Location: Noida, NCR Years of Experience: 4-8 Yrs About Dailoqa Dailoqa’s mission is to bridge human expertise and artificial intelligence to solve the challenges facing financial services. Our founding team of 20+ international leaders, including former CIOs and senior industry experts, combines extensive technical expertise with decades of real-world experience to create tailored solutions that harness the power of combined intelligence. With a focus on Financial Services clients we have deep expertise across Risk & Regulations, Retail & Institutional Banking, Capital Markets, and Wealth & Asset Management. Dailoqa has global reach in UK, Europe, Africa, India, ASEAN, and Australia. We integrate AI into business strategies to deliver tangible outcomes and set new standards for the financial services industry. Working at Dailoqa will be hard work, our environment is fluid and fast-moving and you'll be part of a community that values innovation, collaboration, and relentless curiosity. We’re looking at people who : · Are proactive, curious adaptable, and patient · Shape the company's vision and will have a direct impact on its success. · Have the opportunity for fast career growth. · Have the opportunity to participate in the upside of an ultra-growth venture. · Have fun 🙂 Don’t apply if: · You want to work on a single layer of the application. · You prefer to work on well-defined problems. · You need clear, pre-defined processes. · You prefer a relaxed and slow paced environment. Our Philosophy Small team : Small talented teams outperform large and slow-moving companies. We avoid bureaucracy, keep meetings to a minimum and focus on creating value. Simple where possible: We are passionate about new technology (in particular Machine Learning and AI), but we are more passionate about solving problems for our customers. We strive to find the best solution, be it cutting-edge or old-school. Customer obsessed: We take every opportunity to talk to our customers. We obsess over their problems and work every day to make them happy. About the Role We are looking for AI and Machine Learning engineer who want to help shape the future of Financial Services clients and our company. As part of the team, you will get to · Work directly with our founding team and be a core member. · Apply the latest AI techniques to solve real problems faced by Financial Services clients. · Design, build, and refine datasets to evaluate and continuously improve our solutions. · Participate in strategy and product ideation sessions, influencing our product and solution roadmap. Key Responsibilities · Agentic AI Development : Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai. · AI Research and Innovation : Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. · Technical Expertise : Proficiency in a technology stack that includes Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. · LLM and NLP Experience : Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. · Dataset Development : Strong track record of building datasets for training and/or evaluating machine learning models. · Customer Focus : Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. · Adaptability : Thrive in a fast-paced environment and are excited about joining an early-stage venture. · Model Deployment and Management : Automate model deployment, monitoring, and retraining processes. · Collaboration and Optimization : Collaborate with data scientists to review, refactor, and optimize machine learning code. · Version Control and Governance : Implement version control and governance for models and data. Required Qualifications: · Bachelor's degree in computer science, Software Engineering, or a related field · 4-8 years of experience in MLOps, DevOps, or related roles Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow Have strong familiarity and knowledge of machine learning concepts · Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform Desired Skills: · Experience with experiment tracking and model versioning tools You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. · Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect · Familiarity with software testing and test automation practices · Understanding of ethical considerations in machine learning deployments · Strong problem-solving skills and ability to work in a fast-paced environment

About Us: Soul AI is a high-velocity startup led by IIT/IIM alumni, building scalable AI-powered solutions for real-world impact. From Hyderabad to San Francisco, we’re crafting the future of AI platforms. We are hiring a Fast AP I Developer to build fast, reliable backend services. Key Responsibilities: Design and develop REST APIs using FastAPI. Write modular, testable Python code. Integrate with databases and authentication systems. Optimize backend performance and scalability. Required Qualificatio ns: 2+ years of experience with Python and FastAPI. Familiarity with async programming Experience with SQL or NoSQL databases. Why Join Us? Competitive pay (₹1200/hour). Flexible hours. Remote opportunity.

About Us: Soul AI is a mission-driven tech company operating across SF and Hyderabad. Founded by IIT/IIM alumni, we focus on ethical AI applications. We are seeking a Python developer with strong REST API development experience . Key Responsibilitie Build and maintain RESTful APIs using Flask, FastAPI, or Django. Ensure security, scalability, and performance. Write clean documentation and testing suites. Integrate APIs with external services and frontends. Required Qualifications: 2+ years of Python development experience. Deep understanding of REST standards. Experience with API testing tools and versioning. Why Join Us? Competitive pay (₹1200/hour). Flexible hours. Remote opportunity.

We are a seed-funded startup on a mission to revolutionize the credit industry with cutting-edge AI, deep data, and human-validated insights. Our team includes ML researchers and engineers from Apple, Amazon, and leading fintechs. With our core Business Information Report platform live and first clients onboarded, we’re now expanding into a Sales Intelligence product. As a Software Engineer I – Backend , you’ll partner closely with a Senior Engineer to build the services and pipelines that drive our next-generation offering. Key Responsibilities Backend Service Development : Design, implement, and maintain scalable APIs using FastAPI. Ensure clean, consistent code with SQLAlchemy models and migrations Database Design & Optimization: Model relational schemas in PostgreSQL. W rite and optimize complex queries and indexed views Data Ingestion & Scraping: Build and maintain web-scraping pipelines to gather company and contact data. Handle anti-bot measures, pagination, and data normalization Asynchronous Processing: Orchestrate background tasks and job queues with Celery. Monitor task health, retry logic, and throughput metrics Testing & Quality Assurance: Write unit, integration, and end-to-end tests to uphold code quality. Participate in code reviews and mentor junior engineers DevOps & Automation: Contribute to CI/CD pipelines and containerization (Docker). Collaborate on infrastructure-as-code for reproducible environments Cross-Functional Collaboration: Work with Product, Data and Sales teams to translate requirements into technical solutions. Partner with frontend and senior backend engineers to ship features end-to-end Qualifications Bachelor’s or Master’s in Computer Science, Engineering, or related technical field 1–3 years professional Python backend experience with FastAPI , SQLAlchemy , and PostgreSQL Hands-on with task queues (Celery) and background job orchestration Experience building robust web-scraping solutions and handling large-scale data ingestion Familiarity with Docker, CI/CD tooling, and basic cloud services (AWS, GCP, or Azure) Strong software engineering fundamentals: REST principles, testing, security, and observability Excellent problem-solving skills and the ability to thrive in a fast-paced startup environment What We Offer High Impact: Shape the core backend of our Sales Intelligence product alongside a Senior Engineer Competitive Package: Market-aligned salary, health insurance, etc. Growth Path: Clear progression from Engineer I to Senior roles as our product and team scale