4019 Fastapi Jobs - Page 19

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Junior Data Scientist Location: Bangalore Reporting to: Senior Manager – Analytics Purpose of the role The Global GenAI Team at Anheuser-Busch InBev (AB InBev) is tasked with constructing competitive solutions utilizing GenAI techniques. These solutions aim to extract contextual insights and meaningful information from our enterprise data assets. The derived data-driven insights play a pivotal role in empowering our business users to make well-informed decisions regarding their respective products. In the role of a Machine Learning Engineer (MLE), you will operate at the intersection of: LLM-based frameworks, tools, and technologies Cloud-native technologies and solutions Microservices-based software architecture and design patterns As an additional responsibility, you will be involved in the complete development cycle of new product features, encompassing tasks such as the development and deployment of new models integrated into production systems. Furthermore, you will have the opportunity to critically assess and influence the product engineering, design, architecture, and technology stack across multiple products, extending beyond your immediate focus. Key tasks & accountabilities Large Language Models (LLM): Experience with LangChain, LangGraph Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler Multi-modal Retrieval-Augmented Generation (RAG): Expertise in multi-modal AI systems (text, images, audio, video) Designing and optimizing chunking strategies and clustering for large data processing Streaming & Real-time Processing: Experience in audio/video streaming and real-time data pipelines Low-latency inference and deployment architectures NL2SQL: Natural language-driven SQL generation for databases Experience with natural language interfaces to databases and query optimization API Development: Building scalable APIs with FastAPI for AI model serving Containerization & Orchestration: Proficient with Docker for containerized AI services Experience with orchestration tools for deploying and managing services Data Processing & Pipelines: Experience with chunking strategies for efficient document processing Building data pipelines to handle large-scale data for AI model training and inference AI Frameworks & Tools: Experience with AI/ML frameworks like TensorFlow, PyTorch Proficiency in LangChain, LangGraph, and other LLM-related technologies Prompt Engineering: Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy Strong understanding of context window management and optimizing prompts for performance and efficiency Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) Bachelor's or masterʼs degree in Computer Science, Engineering, or a related field. Previous Work Experience Required Proven experience of 1+ years in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database. Technical Skills Required Solid understanding of language model technologies, including LangChain, OpenAI Python SDK, LammaIndex, OLamma, etc. Proficiency in implementing and optimizing machine learning models for natural language processing. Experience with observability tools such as mlflow, langsmith, langfuse, weight and bias, etc. Strong programming skills in languages such as Python and proficiency in relevant frameworks. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). And above all of this, an undying love for beer! We dream big to create future with more cheer

Role Overview At BlueKaktus, we're leveraging cutting-edge cloud technology to transform the $3 trillion Fashion & Lifestyle industry. Own, architect and deliver core modules of our multi-agentic AI SaaS platform - spanning user-facing React micro-front-ends, Python micro-services, Postgres persistence and AWS infrastructure, while mentoring the next wave of engineers in a hyper-growth environment. Key Responsibilities End-to-end ownership: translate product vision into secure, scalable features; drive design, coding, review, testing and deployment. Platform evolution: design fault-tolerant, multi-tenant architectures; weave in multi-agent LLM workflows, vector search and RAG pipelines. Dev-excellence: champion CI/CD, IaC (Terraform/CDK), automated testing, observability and cost-aware cloud operations. Technical leadership: mentor 2-4 engineers, set coding standards, lead architecture reviews and sprint planning. Cross-functional collaboration: pair with Product, DevRel and GTM to ship business-impacting releases every 2-3 weeks. Must-Have Skills 4-6 yrs building production SaaS; 3 yrs in Python back-ends (FastAPI/Django/Flask) and React (hooks, TS). Deep SQL & Postgres tuning; distributed systems know-how (caching, queues, event-driven design). Hands-on AWS (EKS/Lambda, S3, Aurora, IAM) and containerisation (Docker, Kubernetes). Proven track record of shipping at >1 M MAU or >10K TPS scale. Strong DSA, design patterns, code review and mentoring chops. Nice-to-Haves LangChain / Agents / Vector DBs, OpenAI/Anthropic/LLama APIs. Experience with feature-flag systems, multi-region deployments, SOC-2 / ISO-27001 compliance. Apply now at recruitment@bluekaktus.com and join us in transforming fashion with technology!

We are excited to share a fantastic opportunity for the AI Lead/Sr. AI-ML Engineer position at Gritstone Technologies . We believe your skills and experience could be a perfect match for this role, and we would love for you to explore this opportunity with us. Design and implement scalable, high-performance AI/ML architectures with Python tailored for real-time and batch processing use cases. Lead the development of robust, end-to-end AI pipelines, including advanced data preprocessing, feature engineering, model development, and deployment. Define and drive the integration of AI solutions across cloud-native platforms (AWS, Azure, GCP) with optimized cost-performance trade-offs. Architect and deploy multimodal AI systems, leveraging advanced NLP (e.g., LLMs, OpenAI-based customizations, scanned invoice data extraction), computer vision (e.g., inpainting, super-resolution scaling, video-based avatar generation), and generative AI technologies (e.g., video and audio generation). Integrate domain-specific AI solutions, such as reinforcement learning, and self-supervised learning models. Implement distributed training and inferencing pipelines using state-of-the-art frameworks. Drive model optimization through quantization, pruning, sparsity techniques, and mixed-precision training to maximize performance across GPU hardware. Develop scalable solutions using large vision-language models (VLMs) and large language models (LLMs). Define and implement MLOps practices for version control, CI/CD pipelines, and automated model deployment using tools like Kubernetes, Docker, Kubeflow, and FastAPI. Enable seamless integration of databases (SQL Server, MongoDB, NoSQL) with AI workflows. Drive cutting-edge research in AI/ML, including advancements in RLHF, retrieval-augmented generation (RAG), and multimodal knowledge graphs. Experiment with emerging generative technologies, such as diffusion models for video generation and neural audio synthesis. Collaborate with cross-functional stakeholders to deliver AI-driven business solutions aligned with organizational goals. null 5+ years of Experience

Description The Role: Integrate with internal/external LLM APIs (e.g., OpenAI, Azure OpenAI), including prompt engineering and pre/post-processing as required. Build and maintain data analysis workflows using Pandas for data transformation and insight delivery. Develop RESTful APIs using FastAPI or Flask for data and document management. Design and implement clean, efficient, and modular Python codebases for backend services, data pipelines, and document processing workflows. Support the team in onboarding new data sources, integrating with Azure services, and ensuring smooth cloud deployments. Collaborate with product, data science, and engineering teams to translate business requirements into technical solutions. Write unit tests and contribute to CI/CD pipelines for robust, production-ready code. Stay up to date with advances in Python, LLM, and cloud technologies. Qualifications Qualifications: Bachelor’s or master’s in computer science, Engineering, or related quantitative discipline. Experience: 6 to 9 years of hands-on experience in data engineering or backend development with Python. Technical Competencies: Exposure to LLM integration (prompt design, API integration, handling text data). Strong experience in Python with focus on data analysis (Pandas) and scripting. Hands-on experience in building REST APIs (FastAPI or Flask). Experience in developing data pipelines, data cleaning, and transformation. Working knowledge of Azure cloud services (Azure Functions, Blob Storage, App Service, etc.) (Nice to have) Experience integrating MongoDB with Python for data storage, modelling, or reporting.

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: Gartner is seeking a talented and passionate MLOps Engineer to join our growing team. In this role, you will be responsible for building Python and Spark-based ML solutions that ensure the reliability and efficiency of our machine learning systems in production. You will collaborate closely with data scientists to operationalize existing models and optimize our ML workflows. Your expertise in Python, Spark, model inferencing, and AWS services will be crucial in driving our data-driven initiatives. What you’ll do: Develop ML inferencing and data pipelines with AWS tools (S3, EMR, Glue, Athena). Python API development using Frameworks like FASTAPI and DJANGO Deploy and optimize ML models on SageMaker and EKS Implement IaC with Terraform and CI/CD for seamless deployments. Ensure quality, scalability and performance of API’s. Collaborate with product manager, data scientists and other engineers for smooth operations. Communicate technical insights clearly and support production troubleshooting when needed. What you’ll need: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Must have: 0-2 years of experience building data and MLOPS pipelines using Python and Spark. Strong proficiency in Python. Exposure to Spark is good to have. Hands-on experience Restful development using Python frameworks like Fast API and Django Experience with Docker and Kubernetes (EKS) or Sagemaker. Experience with CloudFormation or Terraform for deploying and managing AWS resources. Strong problem-solving and analytical skills. Ability to work effectively within a agile environment. Who you are: Bachelor’s degree or foreign equivalent degree in Computer Science or a related field required Excellent communication and prioritization skills. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment. Owns success – Takes responsibility for successful delivery of the solutions. Strong desire to improve upon their skills in software testing and technologies Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. #LI-AJ4 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . Job Requisition ID:101728 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Senior Consultant - Data Scientist Date: Jul 25, 2025 Location: Chennai, IN Requisition ID: 14612 Description: About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Position Summary: As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Job Title: Sr. Consultant- Data Scientist Key Responsibilities: Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments Required Skills and Qualifications: Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). Generative AI: Experience with generative models such as GANs, VAEs or Transformers. Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. Strong Analytical Skills: Ability to translate complex data into actionable insights. Communication: Excellent written and verbal communication skills Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. ️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

What You’ll Do As an AI Engineer at Wednesday, you’ll design and build production-ready AI systems using state-of-the-art language models, vector databases, and modern AI frameworks. You’ll own the full lifecycle of AI features — from prototyping and prompt engineering to deployment, monitoring, and optimization. You’ll work closely with product and engineering teams to ensure our AI solutions deliver real business value at scale. Your Responsibilities System Architecture & Development Architect and implement AI applications leveraging transformer-based LLMs, embeddings, and vector similarity techniques. Build modular, maintainable codebases using Python and AI frameworks. Retrieval-Augmented Generation & Semantic Search Design and deploy RAG systems with vector databases such as Pinecone, Weaviate, or Chroma to power intelligent document search and knowledge retrieval. LLM Integration & Optimization Integrate with LLM platforms (OpenAI, Anthropic) or self-hosted models (Llama, Mistral), including prompt engineering, fine-tuning, and model evaluation. Experience with AI orchestration tools (LangFlow, Flowise), multimodal models, or AI safety and evaluation frameworks. AI Infrastructure & Observability Develop scalable AI pipelines with proper monitoring, evaluation metrics, and observability to ensure reliability in production environments. End-to-End Integration & Rapid Prototyping Connect AI backend to user-facing applications; prototype new AI features quickly using frontend frameworks (React/Next.js). Cross-Functional Collaboration Partner with product managers, designers, and fellow engineers to translate complex business requirements into robust AI solutions. Requirements Have 3–5 years of experience building production AI/ML systems at a consulting or product-engineering firm. Possess deep understanding of transformer architectures, vector embeddings, and semantic search. Are hands-on with vector databases (Pinecone, Weaviate, Chroma) and RAG pipelines. Have integrated and optimized LLMs via APIs or local deployment. Are proficient in Python AI stacks (LangChain, LlamaIndex, Hugging Face). Have built backend services (FastAPI, Node.js, or Go) to power AI features. Understand AI UX patterns (chat interfaces, streaming responses, loading states, error handling). Can deploy and orchestrate AI systems on AWS, GCP, or Azure with containerization and orchestration tools. Bonus: Advanced React/Next.js skills for prototyping AI-driven UIs. Benefits Creative Freedom: A culture that empowers you to innovate and take bold product decisions for client projects. Comprehensive Healthcare: Extensive health coverage for you and your family. Tailored Growth Plans: Personalized professional development programs to help you achieve your career aspirations

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* Data, Analytics & Insights Technology (DAIT) provides customer, client, and operational data in support of Consumer, Business, Wealth, and Payments Technology with responsibility for a number of key data technologies. These include 16 Authorized Data Sources (ADS), marketing and insights platforms, advanced analytics Platforms, core client data and more. DAIT drives these capabilities with the goal of maximizing data assets to serve bank operations, meet regulatory requirements and personalize interactions with our customers across all channels. GBDART , a sub-function of DAIT, is the Bank’s strategic initiative to modernize data architecture and enable cloud-based, connected data experiences for analytics and insights across commercial banking. It delivers real-time operational integration, a comprehensive data management and regulatory framework, and technology solutions supporting key programs such as 14Q, CECL/CCAR/IFRS9, Flood, Climate Risk, and more. GBDART provides vision and oversight for data digitization, quality excellence using AI/ML/NLP, and process simplification, ensuring a single version of truth for enterprise risk and controls through Authorized Data Sources across all major lines of business. Job Description* This role provides leadership, technical direction, and oversight to a team delivering technology solutions. Key responsibilities include overseeing the design, implementation, and maintenance of complex applications, aligning technical solutions with business objectives, and ensuring coding practices and quality comply with software development standards. The position requires managing multiple software implementations and demonstrating expertise across several technical competencies. Responsibilities* 10+ years of team leadership experience with a strategic mindset, preferably in Agile/Scrum environments. Strong hands-on development experience in React, JavaScript, HTML, and CSS. Experience in enterprise-level architecture and solution-based development. Architectural design and design thinking skills (desirable). Experience with OpenShift containers: creating, deploying images, configuring services/routes, persistent volumes, and secret management. Configuring reverse proxy, whitelisting services, forwarding headers, and managing CORS. Experience with OAuth or SSO. Python FastAPI development and database proficiency. Stakeholder management, primarily with US-based leadership and teams. Requirements* Education* B.E. / B.Tech / M.E. / M.Tech / M.C.ABE / MCA. Certifications (preferred): React, Python with SQL. Experience Range* 06 Years To 12 Years. Foundational Skills* In-depth knowledge of the Systems Development Life Cycle (SDLC). Proficient in Windows and Linux systems. Knowledge of database systems (MySQL or any RDBMS). Systems engineering and deployment experience. Strong problem-solving skills with the ability to minimize risk and negative impact. Ability to work independently with minimal oversight. Motivated and eager to learn. Broad knowledge of information security principles, including identity, access, and authorization. Strong analytical and conceptual thinking skills. Desired Skills* Effective communication across a wide range of technical audiences. Comfortable with CI/CD processes and tools (e.g., Ansible, Jenkins, JIRA). Work Timings* 11:30AM - 8:30PM (IST). Job Location* Chennai, GIFT.

Lead Assistant Manager EXL/LAM/1433397 Digital EmergingNoida Posted On 25 Jul 2025 End Date 08 Sep 2025 Required Experience 6 - 10 Years Basic Section Number Of Positions 1 Band B2 Band Name Lead Assistant Manager Cost Code G090622 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type Backfill Max CTC 1000000.0000 - 1500000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Emerging Business Unit Organization Digital Emerging LOB Digital Delivery Practice SBU Digital Finance Suite Country India City Noida Center Noida - Centre 59 Skills Skill AI ML Minimum Qualification B.TECH/B.E MCA BCA Certification No data available Job Description Job Summary: We are seeking a highly experienced AI/ML Engineer with 7–10 years of hands-on experience in building intelligent systems using Generative AI, Agentic AI, RAG (Retrieval-Augmented Generation), NLP, and Deep Learning. The ideal candidate will play a critical role in designing, developing, and deploying cutting-edge AI applications using Langchain, FastAPI, and other modern AI frameworks, with a strong programming foundation in Python and SQL. Key Responsibilities: Design and develop scalable Agentic AI and Generative AI-based applications and pipelines. Implement Retrieval-Augmented Generation (RAG) architectures to enhance LLM performance with dynamic knowledge integration. Fine-tune and deploy NLP and deep learning models to solve real-world business problems. Build autonomous agents that can execute goal-oriented tasks independently. Develop robust APIs using FastAPI and integrate with Langchain workflows. Work in a Linux environment for model development and production deployment. Collaborate with cross-functional teams to drive ML product delivery end-to-end. Write optimized code in Python, manage datasets and queries using SQL. Keep pace with rapid advancements in the AI/ML space and propose innovations. Required Skills & Qualifications: 7–10 years of experience in AI/ML system design and deployment. Strong expertise in Agentic AI, Generative AI, RAG, NLP, and Deep Learning. Solid programming skills in Python and SQL. Proficient in Langchain, FastAPI, and working in Linux environments. Experience in building and scaling ML pipelines, and deploying models into production. Knowledge of vector databases, prompt engineering, and LLM orchestration is a plus. Strong analytical and problem-solving skills, with the ability to work in Agile teams. Workflow Workflow Type Digital Solution Center

Responsibilities: * Develop scalable web apps with Django Rest Framework & FastAPI * Implement REST APIs using Python & AWS Lambda * Collaborate on CI/CD pipelines with DevOps mindset

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities. Your Key Responsibilities Conception, development, test automation, and operation of Generative AI featured applications like Chatbots as well as internal sample and template repositories Conception, implementation, testing, and monitoring of Generative AI processes, e. g. RAG pipelines, using the latest cloud technologies and Python Working in interdisciplinary teams using agile methods as well as supporting internal product teams Taking on the technical responsibility of applications throughout the life cycle as part of an DevOps tea Your Qualifications University degree in (Applied)Computer Science/Software Engineering, or akin qualification Professional experience as a Python developer in the context of Generative AI projects Proficiency in building scalable REST APIs using Python, with experience in common frameworks, like FastAPI and SqlAlchemy, preferred Familiarity with data processing and transformation techniques to support AI models and workflows, e. g. SQL, ETL, RAG Know-how in working with cloud services (ideally Azure and AWS) is plus Ability to learn new technologies and skills (T-Shape philosophy) Excellent customer service skills and ability to interact with colleagues across the organization influenced by diNerent working cultures (primarily German) Experience in agile environments (i.e. flat hierarchies in daily work), combined with profound agile mindset and corresponding experience in daily work Fluent (i.e. B2 or higher) in English spoken and written As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves. Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application. www.schaeffler.com/careers Your Contact Schaeffler Technology Solutions India Pvt. Ltd. Vineet Panvelkar For technical questions, please contact this email address: technical-recruiting-support-AP@schaeffler.com Keywords: Experienced; Engineer; Full-Time; Unlimited; Digitalization & Information Technology;

Experience : 5.00 + years Salary : INR 3000000-3200000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Hyderabad) Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: InfraCloud Technologies Pvt Ltd) (*Note: This is a requirement for one of Uplers' client - IF) What do you need for this opportunity? Must have skills required: Banking, Fintech, Product Engineering background, Python, FastAPI, Django, Machine learning (ML) IF is Looking for: Product Engineer Location: Narsingi, Hyderabad 5 days of work from the Office Client is a Payment gateway processing company Interview Process: Screening round with InfraCloud, followed by a second round with our Director of Engineering. We share the profile with the client, and they take one/two interviews About The Project We are building a high-performance machine learning engineering platform that powers scalable, data-driven solutions for enterprise environments. Your expertise in Python, performance optimization, and ML tooling will play a key role in shaping intelligent systems for data science and analytics use cases. Experience with MLOps, SaaS products, or big data environments will be a strong plus. Role And Responsibilities Design, build, and optimize components of the ML engineering pipeline for scalability and performance. Work closely with data scientists and platform engineers to enable seamless deployment and monitoring of ML models. Implement robust workflows using modern ML tooling such as Feast, Kubeflow, and MLflow. Collaborate with cross-functional teams to design and scale end-to-end ML services across a cloud-native infrastructure. Leverage frameworks like NumPy, Pandas, and distributed compute environments to manage large-scale data transformations. Continuously improve model deployment pipelines for reliability, monitoring, and automation. Requirements 5+ years of hands-on experience in Python programming with a strong focus on performance tuning and optimization. Solid knowledge of ML engineering principles and deployment best practices. Experience with Feast, Kubeflow, MLflow, or similar tools. Deep understanding of NumPy, Pandas, and data processing workflows. Exposure to big data environments and a good grasp of data science model workflows. Strong analytical and problem-solving skills with attention to detail. Comfortable working in fast-paced, agile environments with frequent cross-functional collaboration. Excellent communication and collaboration skills. Nice to Have Experience deploying ML workloads in public cloud environments (AWS, GCP, or Azure). Familiarity with containerization technologies like Docker and orchestration using Kubernetes. Exposure to CI/CD pipelines, serverless frameworks, and modern cloud-native stacks. Understanding of data protection, governance, or security aspects in ML pipelines. Experience Required: 5+ years 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!

General Summary: The Senior AI Engineer (2–5 years' experience) is responsible for designing and implementing intelligent, scalable AI solutions with a focus on Retrieval-Augmented Generation (RAG), Agentic AI, and Modular Cognitive Processes (MCP). This role is ideal for individuals who are passionate about the latest AI advancements and eager to apply them in real-world applications. The engineer will collaborate with cross-functional teams to deliver high-quality, production-ready AI systems aligned with business goals and technical standards Essential Duties & Responsibilities: Design, develop, and deploy AI-driven applications using RAG and Agentic AI frameworks. Build and maintain scalable data pipelines and services to support AI workflows. Implement RESTful APIs using Python frameworks (e.g., FastAPI, Flask) for AI model integration. Collaborate with product and engineering teams to translate business needs into AI solutions. Debug and optimize AI systems across the stack to ensure performance and reliability. Stay current with emerging AI tools, libraries, and research, and integrate them into projects. Contribute to the development of internal AI standards, reusable components, and best practices. Apply MCP principles to design modular, intelligent agents capable of autonomous decision-making. Work with vector databases, embeddings, and LLMs (e.g., GPT-4, Claude, Mistral) for intelligent retrieval and reasoning. Participate in code reviews, testing, and validation of AI components using frameworks like pytest or unittest. Document technical designs, workflows, and research findings for internal knowledge sharing. Adapt quickly to evolving technologies and business requirements in a fast-paced environment. Knowledge, Skills, and/or Abilities Required: 2–5 years of experience in AI/ML engineering, with at least 2 years in RAG and Agentic AI. Strong Python programming skills with a solid foundation in OOP and software engineering principles. Hands-on experience with AI frameworks such as LangChain, LlamaIndex, Haystack, or Hugging Face. Familiarity with MCP (Modular Cognitive Processes) and their application in agent-based systems. Experience with REST API development and deployment. Proficiency in CI/CD tools and workflows (e.g., Git, Docker, Jenkins, Airflow). Exposure to cloud platforms (AWS, Azure, or GCP) and services like S3, SageMaker, or Vertex AI. Understanding of vector databases (e.g., OpenSearch, Pinecone, Weaviate) and embedding techniques. Strong problem-solving skills and ability to work independently or in a team. Interest in exploring and implementing cutting-edge AI tools and technologies. Experience with SQL/NoSQL databases and data manipulation. Ability to communicate technical concepts clearly to both technical and non-technical audiences. Educational/Vocational/Previous Experience Recommendations: Bachelor/ Master degree or related field. 2+ years of relevant experience Working Conditions: Hybrid - Pune Location

Job Title: Fullstack Engineer (Next.js+FastAPI) Job Type: Full-Time, Contractor About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary: We are seeking a highly skilled Fullstack Engineer with strong expertise in FastAPI (Python) and Next.js (React) to join our growing engineering team. In this role, you’ll be responsible for building and maintaining modern, scalable applications from backend services to frontend interfaces. If you enjoy owning features end-to-end, solving real-world problems, and collaborating cross-functionally we’d love to hear from you. Key Responsibilities Design, develop, and maintain robust backend services and APIs using Python and FastAPI. Build dynamic and performant frontend applications using React and Next.js. Implement best practices in software architecture, API design, and system performance. Translate product requirements into clean, testable, and maintainable code across the stack. Work closely with product managers, designers, and fellow engineers to deliver end-to-end features. Conduct code reviews, debug production issues, and maintain high code quality standards. Stay up to date with trends and advancements in both frontend and backend technologies. Required Skills and Qualifications 5+ years of experience in full-stack development with production-grade applications. Strong hands-on experience with FastAPI, Python, and asynchronous backend development. Proficient in Next.js, React, and modern JavaScript/TypeScript. Solid understanding of REST APIs, microservices, and scalable backend architecture. Ability to manage and prioritize tasks independently, with clear communication across teams. Proven debugging, optimization, and performance tuning skills. Strong verbal and written communication abilities. Preferred Qualifications Experience with cloud platforms like AWS, GCP, or Azure. Familiarity with Docker, CI/CD pipelines, and DevOps best practices. Past experience in technical leadership, mentoring, or guiding junior developers.

Job Title: Full-Stack Engineer (Next.js) Job Type: Full-Time, Contractor About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary: We are seeking a highly skilled Full-Stack Engineer with strong expertise in FastAPI (Python) and Next.js (React) to join our growing engineering team. In this role, you’ll be responsible for building and maintaining modern, scalable applications from backend services to frontend interfaces. If you enjoy owning features end-to-end, solving real-world problems, and collaborating cross-functionally we’d love to hear from you. Key Responsibilities Design, develop, and maintain robust backend services and APIs using Python and FastAPI. Build dynamic and performant frontend applications using React and Next.js. Implement best practices in software architecture, API design, and system performance. Translate product requirements into clean, testable, and maintainable code across the stack. Work closely with product managers, designers, and fellow engineers to deliver end-to-end features. Conduct code reviews, debug production issues, and maintain high code quality standards. Stay up to date with trends and advancements in both frontend and backend technologies. Required Skills and Qualifications 5+ years of experience in full-stack development with production-grade applications. Strong hands-on experience with FastAPI, Python, and asynchronous backend development. Proficient in Next.js, React, and modern JavaScript/TypeScript. Solid understanding of REST APIs, microservices, and scalable backend architecture. Ability to manage and prioritize tasks independently, with clear communication across teams. Proven debugging, optimization, and performance tuning skills. Strong verbal and written communication abilities. Preferred Qualifications Experience with cloud platforms like AWS, GCP, or Azure. Familiarity with Docker, CI/CD pipelines, and DevOps best practices. Past experience in technical leadership, mentoring, or guiding junior developers.

Job Title: Full-Stack Engineer (FAST API) Job Type: Full-Time, Contractor Location: Pune / Gurugram About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary: We are seeking a highly skilled Full-Stack Engineer with strong expertise in FastAPI (Python) and Next.js (React) to join our growing engineering team. In this role, you’ll be responsible for building and maintaining modern, scalable applications from backend services to frontend interfaces. If you enjoy owning features end-to-end, solving real-world problems, and collaborating cross-functionally we’d love to hear from you. Key Responsibilities Design, develop, and maintain robust backend services and APIs using Python and FastAPI. Build dynamic and performant frontend applications using React and Next.js. Implement best practices in software architecture, API design, and system performance. Translate product requirements into clean, testable, and maintainable code across the stack. Work closely with product managers, designers, and fellow engineers to deliver end-to-end features. Conduct code reviews, debug production issues, and maintain high code quality standards. Stay up to date with trends and advancements in both frontend and backend technologies. Required Skills and Qualifications 5+ years of experience in full-stack development with production-grade applications. Strong hands-on experience with FastAPI, Python, and asynchronous backend development. Proficient in Next.js, React, and modern JavaScript/TypeScript. Solid understanding of REST APIs, microservices, and scalable backend architecture. Ability to manage and prioritize tasks independently, with clear communication across teams. Proven debugging, optimization, and performance tuning skills. Strong verbal and written communication abilities. Preferred Qualifications Experience with cloud platforms like AWS, GCP, or Azure. Familiarity with Docker, CI/CD pipelines, and DevOps best practices. Past experience in technical leadership, mentoring, or guiding junior developers.

About Company: Our Client Corporation provides digital engineering and technology services to Forbes Global 2000 companies worldwide. Our Engineering First approach ensures we can execute all ideas and creatively solve pressing business challenges. With industry expertise and empowered agile teams, we prioritize execution early in the process for impactful results. We combine logic, creativity and curiosity to build, solve, and create. Every day, we help clients engage with new technology paradigms, creatively building solutions that solve their most pressing business challenges and move them to the forefront of their industry. Job Title : GENAI Key Skills : python, fastapi, docker, transformers. Job Locations : Pune/Hyderabad Experience : 5 -8 years Education Qualification : Any Degree Graduation Work Mode : Hybird Employment Type : Contract Notice Period : Immediate - 10 Days Job description Key Skills 1. proficient in python, fastapi, docker, transformers. 2. Experience with vector databases like pgvector 3. Hands-on experience with model serving and optimization 4. Familiarity with security, privacy and compliance for AI systems like PII redaction , hallucinations 5. Finetune and optimize foundation models eg GPT, mistral 6. Implement and evaluate multimodal AI ( text, image, audio) 7. Ensure model safety, fairness, and bias mitigation. 8. Manage and develop API and conduct testing

Client : LTIMINDTREE Job Type : C2H Role: Gen AI Experience: 5 to 8y Work Location: Hyderabad, Pune Payroll on : People Prime World Wide Notice : 0 to 15 days Job Description 1. proficient in python, fastapi, docker, transformers. 2. Experience with vector databases like pgvector 3. Hands-on experience with model serving and optimization 4. Familiarity with security, privacy and compliance for AI systems like PII redaction , hallucinations 5. Finetune and optimize foundation models eg GPT, mistral 6. Implement and evaluate multimodal AI ( text, image, audio) 7. Ensure model safety, fairness, and bias mitigation. 8. Manage and develop API and conduct testing

Title: - AI Engineer Location: Remote Type: Full-time Experience: 2–5 years About Omelo Omelo is India’s first intelligent pet health companion, an AI-powered assistant that helps pet parents care for their pets proactively. From image-based symptom scanning (skin, eyes, stool) to multilingual chat and vet-backed guidance, we’re building the health stack pets deserve. Every year, millions of pets in India go undiagnosed due to a lack of access or awareness. At Omelo, we’re changing that, with inclusive, AI-first tools accessible via WhatsApp, web, and mobile. Why This Role Matters AI isn’t a support function here; it is the product. From visual health scans to symptom conversations, every user interaction is powered by real-time AI. What You’ll Work On Build and scale computer vision models to detect pet health symptoms (e.g., rashes, eye infections, stool quality) Enhance our multimodal AI assistant, combining vision, NLP, and structured inputs Lead end-to-end AI workflows: data labeling, training, optimization, and deployment Tune models with real-world feedback loops, improving performance across diverse pet types and conditions Collaborate with product, design, and vet advisors to ship features that are clinically useful and intuitive What Success Looks Like In 3–6 Months Ship 2 high-impact CV modules (e.g., skin or stool detection) used in production Improve top-line model precision/recall by 30% via iteration and feedback Deploy your models into production across mobile/web with real user traction Contribute meaningfully to our core health scoring and assistant logic What We’re Looking For 2–5 years of experience building and shipping ML models, especially in health, agri, food, or diagnostic tech Strong hands-on experience with computer vision (CNNs, classification, segmentation, etc.) Comfort with NLP or LLMs for enhancing chat-based UX (Hugging Face, LangChain, etc.) Fluent in Python and familiar with tools like TensorFlow/PyTorch, FastAPI, GCP/AWS Bonus: Experience with mobile inference (ONNX, Core ML, TensorFlow Lite) Bonus: You’ve worked with real-world health or animal datasets (not just academic ones) Tools & Workflow We Work With Python, PyTorch, TensorFlow, Hugging Face FastAPI, Label Studio, ONNX GCP, Firebase, Postgres You don’t need to know them all, but familiarity helps! What We Offer AI is the product, not a side project Real-world pet health data, with vet-labeled image and symptom datasets Direct collaboration with the founder, engineers, and vet experts Fast cycles, zero bureaucracy, and full model ownership Path to early equity and technical leadership for the right person Skills: machine learning,multimodal ai,nlp,datasets,python,mobile,models,ai,data,bonus,building,pytorch,aws,fastapi,tensorflow,computer vision,chat,gcp,health

Job Summary We are seeking a highly experienced AI/ML Engineer with 7–10 years of hands-on experience in building intelligent systems using Generative AI, Agentic AI, RAG (Retrieval-Augmented Generation), NLP, and Deep Learning. The ideal candidate will play a critical role in designing, developing, and deploying cutting-edge AI applications using Langchain, FastAPI, and other modern AI frameworks, with a strong programming foundation in Python and SQL. Key Responsibilities Design and develop scalable Agentic AI and Generative AI-based applications and pipelines. Implement Retrieval-Augmented Generation (RAG) architectures to enhance LLM performance with dynamic knowledge integration. Fine-tune and deploy NLP and deep learning models to solve real-world business problems. Build autonomous agents that can execute goal-oriented tasks independently. Develop robust APIs using FastAPI and integrate with Langchain workflows. Work in a Linux environment for model development and production deployment. Collaborate with cross-functional teams to drive ML product delivery end-to-end. Write optimized code in Python, manage datasets and queries using SQL. Keep pace with rapid advancements in the AI/ML space and propose innovations. Required Skills & Qualifications 7–10 years of experience in AI/ML system design and deployment. Strong expertise in Agentic AI, Generative AI, RAG, NLP, and Deep Learning. Solid programming skills in Python and SQL. Proficient in Langchain, FastAPI, and working in Linux environments. Experience in building and scaling ML pipelines, and deploying models into production. Knowledge of vector databases, prompt engineering, and LLM orchestration is a plus. Strong analytical and problem-solving skills, with the ability to work in Agile teams.

About Company : Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe. · Job Title: Python Developer · Location: Bangalore · Experience: 5+ yrs · Job Type : Contract to hire. · Notice Period:- Immediate joiners. Mandatory Skills: POSITION OVERVIEW : Senior Software Developer � Python POSITION GENERAL DUTIES AND TASKS : 1. Write high-quality, testable, and maintainable Python code using object-oriented programming (OOP), SOLID principles, and design patterns. 2. Develop RESTful APIs and backend services for AI/ML model serving using FastAPI. 3. Collaborate with AI/ML engineers to integrate and deploy Machine Learning, Deep Learning, and Generative AI models into production environments. 4. Contribute to software architecture and design discussions to ensure scalable and e?icient solutions. 5. Implement CI/CD pipelines and adhere to DevOps best practices for reliable and repeatable deployments. 6. Design for observability, incorporating structured logging, performance monitoring, and alerting mechanisms. 7. Optimize code and system performance, ensuring reliability and robustness at scale. 8. Participate in code reviews, promote clean code practices, and mentor junior developers when needed. Required Qualifications: ? Bachelor�s or Master�s degree in Computer Science, IT, or a related field. ? 5+ years of hands-on experience in software development, with a focus on Python. ? Deep understanding of OOP concepts, software architecture, and design patterns. ? Experience with backend web frameworks, preferably FastAPI. ? Familiarity with integrating ML/DL models into software solutions. ? Practical experience with CI/CD, containerization (Docker), and version control systems (Git). ? Exposure to MLOps practices and tools for model deployment and monitoring. ? Strong collaboration and communication skills in cross-functional engineering teams. ? Familiarity with cloud platforms like AWS (e.g., Sagemaker, Bedrock) or Azure (e.g., ML Studio, OpenAI Service).

We are seeking a Senior Full Stack Developer proficient in Python and React.Js to join our team in Surat, Gujarat, India. With over 7 years of experience, you will be responsible for developing both frontend (React/TypeScript) and backend (Python/FastAPI/Celery) components to build a robust, responsive, and scalable platform. Your duties will include enhancing the visual editor using react-flow, extending backend orchestration logic with Celery, refining REST APIs, and containerizing the system for efficient multi-user deployments through Docker and Kubernetes. Collaboration with a diverse team is essential to deliver user-friendly interfaces and high-performance backend services. In terms of Backend Skills, you should have a strong command of Python (3.10+), expertise in building REST APIs using FastAPI/Uvicorn, and familiarity with Celery, Redis, and RabbitMQ for managing asynchronous job queues. Additionally, experience with databases like PostgreSQL and SQLite, along with knowledge of Docker, Kubernetes, and environment-based configurations, are important. Proficiency in Frontend Skills such as React, TypeScript, react-flow, and frontend build tools like npm and webpack is required. CSS and UI design knowledge using frameworks like Tailwind CSS is a plus. As a Full-stack & DevOps Integration expert, you should be able to architect seamless frontend-backend integrations, deploy full-stack applications in production environments, and have an understanding of CI/CD pipelines and versioning. Bonus skills include experience with LangChain, RAG, or LLM pipelines, contributions to open-source projects, and familiarity with Chat widgets and event-driven APIs. Our company, Sakrat, specializes in product engineering and digital transformation, assisting startups, scaleups, and enterprises in building high-performance software systems. We work closely with founders and product leaders to create MVPs, modernize legacy platforms, and optimize cloud infrastructure. Our projects are led by experienced senior engineers who prioritize secure, scalable, and well-documented systems. Sakrat emphasizes clean architecture, agile practices, and automated pipelines to minimize technical debt.,

You are invited to join our development team as a Python Developer with 13 years of experience. Your primary responsibility will be to develop and maintain Python-based applications using frameworks such as Django, Flask, or FastAPI. Additionally, you will be involved in integrating APIs, managing databases, and collaborating with cross-functional teams to deliver effective solutions. We expect you to write clean, testable, and efficient code while demonstrating good problem-solving and communication skills. To excel in this role, you must have a minimum of 13 years of professional experience in Python and be familiar with relational databases like MySQL or PostgreSQL. Proficiency in using Git and working with RESTful APIs is essential. Experience with cloud platforms such as AWS, Azure, or GCP, as well as knowledge of front-end basics like HTML, CSS, and JavaScript, would be advantageous. This is a full-time, permanent position located at Mohali Phase 8b. You will be expected to work in-person and liaise with the employer directly. If you are interested in this opportunity, please contact us at HR@base2brand.com or speak with the employer by dialing +91 07833075330.,

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. We are currently the #1 ranked consulting firm on Glassdoor’s Best Places to Work list and have maintained a spot in the top four on Glassdoor’s list since its founding in 2009. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. Who You’ll Work With You’ll join our Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. Bain offers comprehensive benefits and flexible policies that are designed to support you, so you can thrive personally and professionally. What You’ll Do As an Expert Senior Manager, Software Engineering (Tech Lead), you will lead the development and application of technical solutions to address complex problems in various industries. You will mentor and guide a diverse engineering team through the entire engineering life cycle. Your responsibilities will include designing, developing, optimizing, and deploying cutting-edge data engineering solutions and infrastructure at the production scale required by the world’s largest companies. Collaborate closely with and influence general consulting teams to identify software solutions to client business problems, and to appropriately scope, prioritize and execute those solutions Overall technical leader responsible for end-to-end technical solution delivery on client cases (from solution architecture to hands-on development work) Lead the entire software development life cycle, including architecture design, writing clean code, conducting code reviews, writing documentation, unit/integration tests, identifying issues and resolutions Participate in expert client advisory activities that require deep expertise software engineering with distributed systems and application architecture Collaborate on (or lead) the development of re-usable common frameworks, model and components that can be highly leveraged to address common software engineering problems across industries and business functions Work with the team and other senior leaders to create a great working environment that attracts other great engineers Coach engineering teams at our clients and partners to raise their capabilities and ensure that our work is successfully deployed to the highest standards Drive best demonstrated practices in software engineering, and share learnings with team members in AAG about theoretical and technical developments in software engineering Drive industry-leading innovations that translate into great impact for our clients in case work Act as PD Advisor as needed Lead recruiting and onboarding for other team members Travel is required (30%) Location: Singapore (Hybrid) Required ABOUT YOU Minimum 12 years of relevant professional hands-on experience in web development, programming languages, version control, software design pattern, infrastructure and deployment, integration and unit testing implementation 3 years minimum experience managing software engineers Master’s degree in computer science, Engineering, or a related technical field Commercial acumen and understanding of business models Experience leading multiple projects independently and growing and developing more junior engineers Technical Skills And Knowledge Track record of shipping production, enterprise scale AI applications and data analytics products. Expert knowledge (5+ years) of Python Deep experience with additional server-side frameworks and technologies such as FastAPI, Node.js, Flask. Experience with Cloud platforms and services (AWS, Azure, GCP, etc.) Experience working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools, MLOps, LLMOps and infrastructure as code (Jenkins, Docker, Kubernetes, and Terraform) Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance. Experience with data architecture, database schema design, database scalability and SQL Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS Hands-on experience in designing and optimizing OLTP systems for real-time processing, as well as building scalable OLAP data pipelines for batch and streaming analytics. Good to have experience developing AI-driven applications and solutions Understanding of data security and privacy regulations, key topics in cybersecurity, authentication and authorization mechanisms (including cloud IAM) Experience working according to agile principles Interpersonal Skills Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines Curiosity, proactivity and critical thinking Ability to collaborate with people at all levels and with multi-office/region teams Ability to work independently and juggle priorities to thrive in a fast paced and ambiguous environment, while also collaborating as part of a team in complex situations

You will work on both the Angular frontend and FastAPI backend, helping to build report download features, connect APIs, and generate PDFs using tools like JasperReports or WeasyPrint. Key Skills Needed Frontend (Angular) : Angular v12+, TypeScript, RxJS Angular Material components Build and manage UI components and forms Backend (FastAPI) Python 3.10+, FastAPI, Pydantic REST APIs development Basic knowledge of Spring Boot (Java) is a plus Soft Skills Able to switch easily between frontend and backend work Good team player - work well with QA and report developers Clear understanding of how data flows from UI, API, PDF Roles & Responsibilities Build and connect UI and backend features for reporting workflows Develop secure APIs for downloading/exporting reports Work on generating PDFs using JasperReports or WeasyPrint Fix bugs, improve performance, and write clean code Help test and debug features with QA Manage environment configs and logs for smooth deployment Write simple tests to make sure code works properly (ref:hirist.tech)