4056 Fastapi Jobs - Page 22

You should have a minimum of 3 years of hands-on experience working with Python frameworks including Django, Flask, and FastAPI. Your proficiency should extend to RESTful APIs, GraphQL, and asynchronous programming. A strong knowledge of SQL/NoSQL databases such as PostgreSQL, MongoDB, and big data tools like Spark and Kafka is essential. Experience with cloud platforms like AWS, Azure, Google Cloud, containerization tools such as Docker, Kubernetes, and CI/CD tools like Jenkins and GitLab CI is required. Additionally, familiarity with testing tools like PyTest, Selenium, and SonarQube is preferred. In terms of soft skills, you should possess excellent problem-solving and analytical abilities. Strong communication, presentation, and teamwork skills are necessary for this role. A proactive attitude, along with the ability to take ownership and perform effectively under pressure, is highly valued. This is a full-time, permanent position that requires in-person work. The work schedule is during the day shift. As part of the application process, you will be asked questions regarding your years of experience, current CTC, notice period, and location. If you meet the specified criteria and are looking for a challenging opportunity that allows you to apply your technical expertise and soft skills in a collaborative environment, we encourage you to apply for this position.,

We are conducting an in-person hiring drive for the position of AIML Engineer in Hyderabad on 26th July 2025. Interview Location is mentioned below: Interview Location: Gate 11, Argus Block-Sattva Knowledge City, 6th Floor Beside T-hub, Silpa Gram Craft Village, Madhapur Rai Durg, Hyderabad, 500081. We are looking for an experienced and talented AIML Developer to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI, ML, LangChain, LangGraph, Microservices (Fast API), Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics. Role: AIML Engineer Job Location: All Persistent Location Experience: 4 -12 Years Job Type: Full Time Employment What You'll Do: - Develop and fine-tune LLMs for real-world use cases - Build and optimize RAG pipelines using Langchain or similar tools - Integrate GenAI capabilities into enterprise applications - Hands-on Python coding experience - Work with vector databases and embedding techniques - Collaborate with cross-functional teams on AI-driven features We're looking for a skilled engineer with hands-on experience in LLMs, LangChain, and chatbot development. Expertise You'll Bring: - 4+ years of experience working with data science - Strong Python skills and familiarity with TensorFlow, PyTorch, and scikit-learn are essential - Basic understanding of Flask, Django, or FastAPI is a plus - Strong analytical, problem-solving, and troubleshooting skills - Ability to work independently and in a collaborative team environment - Cloud deployment knowledge on AWS, Azure, or GCP is a must You'll work on real-world GenAI applications in a collaborative, fast-paced environment. Stay updated with the latest in GenAI and contribute to innovative solutions. Benefits: - Competitive salary and benefits package - Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications - Opportunity to work with cutting-edge technologies - Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards - Annual health check-ups - Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: - Accelerate growth, both professionally and personally - Impact the world in powerful, positive ways, using the latest technologies - Enjoy collaborative innovation, with diversity and work-life wellbeing at the core - Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.,

The Full Stack Developer will be responsible for integrating emerging technologies to enhance audit service delivery quality and solving business/client challenges through technology. You will be building user-centered applications that combine business knowledge with technology experience, focusing on the financial services industry. As a Senior Full Stack Developer with 3-6 years of experience, you must have expertise in Python, FastAPI, and Angular. Additionally, it would be beneficial to have knowledge of SQL, Azure, and React. In this role, you will perform full life-cycle software development using agile frameworks and work in a cloud-based environment. You will have the opportunity to work on a wide range of new products that are revolutionizing how engineers conduct research, share knowledge, and design and build software. Your responsibilities will include driving various stages of the development lifecycle, ensuring application/software architecture meets stakeholder requirements, and creating or modifying application delivery process strategies based on industry trends and leading practices. As a Full Stack Developer at EY, you will establish strategies and business cases for the integration of multiple applications, lead the design of complex integration strategies and plans, and evaluate system integration initiatives. Furthermore, you will develop and maintain long-term business relationships and networks. Join EY to be part of a globally connected powerhouse of diverse teams and contribute to building a better working world. You will have the opportunity to work with cutting-edge technologies, shape the future with confidence, and develop solutions to address the most pressing issues of today and tomorrow. At EY, we are committed to creating new value for clients, people, society, and the planet. With data, AI, and advanced technology, our teams help shape the future and build trust in capital markets. Across assurance, consulting, tax, strategy, and transactions services, EY teams collaborate globally and leverage diverse ecosystem partners to provide services in over 150 countries and territories.,

Job Title: AI/ML Engineer (Python AWS REST APIs) Department: Web Location: Indore Job Type: Full-time Experience: 3-5 years Notice Period: 0-15 days (immediate joiners preferred) Work Arrangement: On-site (Work from Office) Overview Advantal Technologies is seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality of an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs. Key Responsibilities: AI/ML Development Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees. Build synthetic datasets using DCGANs for balancing. Fine-tune pre-trained models for customized encryption logic. Implement explainable classification logic for model outputs. Validate model performance using custom metrics and datasets. API Development Design and develop Python RESTful APIs using FastAPI or Flask for: Image upload and classification Model inference endpoints Encryption trigger calls Integrate APIs with AWS Lambda and Amazon API Gateway. AWS Integration Deploy and manage AI models on Amazon SageMaker for training and real-time inference. Use AWS Lambda for serverless backend compute. Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL). Use AWS Cognito for secure user authentication and KMS for key management. Monitor job status via CloudWatch and enable secure, scalable API access. Required Skills & Experience: Must-Have 35 years of experience in AI/ML (especially vision-based systems). Strong experience with PyTorch or TensorFlow for model development. Proficient in Python with experience building RESTful APIs. Hands-on experience with Amazon SageMaker, Lambda, API Gateway, and S3. Knowledge of OpenSSL/PyCryptodome or basic cryptographic concepts. Understanding of model deployment, serialization, and performance tuning. Nice-to-Have Experience with CLIP model fine-tuning. Familiarity with Docker, GitHub Actions, or CI/CD pipelines. Experience in data classification under compliance regimes (e.g., GDPR, HIPAA). Familiarity with multi-tenant SaaS design patterns. Tools & Technologies: Python, PyTorch, TensorFlow FastAPI, Flask AWS: SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS Git, Docker, Postgres, OpenCV, OpenSSL If interested, please share your resume to hr@advantal.ne.

Senior AI/ML Scientist(IC) – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement. You’ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs. What I'll be doing – your accountabilities? Independently design and develop scalable AI/ML solutions using advanced design patterns, models and algorithms to analyse complex datasets and generate actionable insights Collaborate with stakeholders to translate business needs into AI/ML solutions, evaluate user journeys and challenge business requirements to ensure seamless, value driven delivery and integration of solutions Apply innovative problem-solving techniques, leveraging advanced methodologies to find unique approaches to complex problems and improve outcomes Investigate and resolve complex challenges in data pipelines, modelling, and deployment to ensure reliable solutions that meet performance benchmarks Mentor team members through code reviews, model validations, pairing sessions, and knowledge-sharing sessions, and contribute to Communities of Practice Effectively communicate modelling, infrastructure, and deployment choices to both technical and non-technical stakeholders Maintain detailed, impactful documentation, covering methodologies, data pipelines, model performance, and key design decisions to enable reproducibility and scalability Ensure readiness for production releases, focusing on testing, monitoring, observability, and maintaining scalability and reusability of models for future projects Drive cross-team and cross-discipline initiatives to optimize workflows, remove redundant applications and processes, share best practices, and enhance collaboration between teams Demonstrate awareness of shared platform capabilities and actively identify opportunities to leverage them in designing efficient and scalable AI/ML solutions Foundational Skills Mastered Data Analysis, Data Science and and AI & Machine Learning concepts and can demonstrate this skill in complex scenarios Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance. Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance: Data Validation and Testing Model Deployment Machine Learning Pipelines Deep Learning Natural Language Processing (NPL) Optimization & Scientific Computing Decision Modelling and Risk Analysis. Technical Documentation Qualifications & Requirements Bachelor's degree in B.E/BTech, preferably in computer science Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions) Communicate effectively with technical and non-technical audiences with experience in stakeholder management Structured, highly analytical mind-set and excellent problem-solving skills; Self-starter, highly motivated & Willing to share knowledge and work as a team. An individual who respects the opinion of others; yet can drive a decision though the team; Preferred Experiences 8+ years of years of relevant experience in the field of Data Engineering 5+ years of hands-on experience with Apache Spark, Python and SQL Experience working with large datasets and big data technologies to train and evaluate machine learning models. Experience with containerization: Kubernetes & Docker Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

About Position: We're looking for a Senior Python Engineer You’ll work closely with our exiting team, build, and deploy APIs, microservices, and backend services that integrate advanced AI models into our production ecosystem. Role: Python Developer Location: All PSL Locations Experience: 5 to 10yrs Job Type: Full Time Employment What You'll Do: 5+ years of experience in Python software development, building production-grade systems Strong expertise in FastAPI, Flask, or Django for API development Experience with Docker, containerized deployments, and microservice architecture Familiarity with CI/CD pipelines, Git-based workflows, and automated testing Solid understanding of data engineering concepts – ETL pipelines, data validation, working with structured/semi-structured data Experience designing or consuming RESTful APIs; bonus if you’ve worked with streaming or event-based systems A product mindset – you write code that is useful, maintainable, and aligned with business goals. Exposure to cloud environments (preferably GCP, but AWS/Azure also welcome) Expertise You'll Bring: Need Minimum 5+yrs of experience into Python Development. Good communication skills. Proficiency in Python, SQL/PLSQL, Scripting Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Why NxtWave As a Fullstack SDE - II at NxtWave, you Build applications at a scale and see them released quickly to the NxtWave learners (within weeks) Get to take ownership of the features you build and work closely with the product team Work in a great culture that continuously empowers you to grow in your career Enjoy freedom to experiment & learn from mistakes (Fail Fast, Learn Faster) NxtWave is one of the fastest growing edtech startups. Get first-hand experience in scaling the features you build as the company grows rapidly Build in a world-class developer environment by applying clean coding principles, code architecture, etc. Responsibilities Lead design and delivery of complex end-to-end features across frontend, backend, and data layers. Make strategic architectural decisions on frameworks, datastores, and performance patterns. Review and approve pull requests, enforcing clean-code guidelines, SOLID principles, and design patterns. Build and maintain shared UI component libraries and backend service frameworks for team reuse. Identify and eliminate performance bottlenecks in both browser rendering and server throughput. Instrument services with metrics and logging, driving SLIs, SLAs, and observability. Define and enforce comprehensive testing strategies: unit, integration, and end-to-end. Own CI/CD pipelines, automating builds, deployments, and rollback procedures. Ensure OWASP Top-10 mitigations, WCAG accessibility, and SEO best practices. Partner with Product, UX, and Ops to translate business objectives into technical roadmaps. Facilitate sprint planning, estimation, and retrospectives for predictable deliveries. Mentor and guide SDE-1s and interns; participate in hiring. Qualifications & Skills 3-5 years building production Full stack applications end-to-end with measurable impact. Proven leadership in Agile/Scrum environments with a passion for continuous learning. Deep expertise in React (or Angular/Vue) with TypeScript and modern CSS methodologies. Proficient in Node.js (Express/NestJS) or Python (Django/Flask/FastAPI) or Java (Spring Boot). Expert in designing RESTful and GraphQL APIs and scalable database schemas. Knowledge of MySQL/PostgreSQL indexing, NoSQL (ElasticSearch/DynamoDB), and caching (Redis). Knowledge of Containerization (Docker) and commonly used AWS services such as lambda, ec2, s3, apigateway etc. Skilled in unit/integration (Jest, pytest) and E2E testing (Cypress, Playwright). Frontend profiling (Lighthouse) and backend tracing for performance tuning. Secure coding: OAuth2/JWT, XSS/CSRF protection, and familiarity with compliance regimes. Strong communicator able to convey technical trade-offs to non-technical stakeholders. Experience in reviewing pull requests and providing constructive feedback to the team. Qualities we'd love to find in you: The attitude to always strive for the best outcomes and an enthusiasm to deliver high quality software Strong collaboration abilities and a flexible & friendly approach to working with teams Strong determination with a constant eye on solutions Creative ideas with problem solving mind-set Be open to receiving objective criticism and improving upon it Eagerness to learn and zeal to grow Strong communication skills is a huge plus Work Location: Hyderabad Apply here:- https://forms.gle/z2zcckmC4NzCbqv17

Company Description Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We’re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity Job Description We are looking for a Python Backend Engineer with exposure to AI engineering to join our team in building a scalable, cognitive data platform. This platform will crawl and process unstructured data sources, enabling intelligent data extraction and analysis. The ideal candidate will have deep expertise in backend development using FastAPI, RESTful APIs, SQL, and Azure data technologies, with a secondary focus on integrating AI/ML capabilities into the product. Core Responsibilities Design and develop high-performance backend services using Python (FastAPI). Develop RESTful APIs to support data ingestion, transformation, and AI-based feature access. Work closely with DevOps and data engineering teams to integrate backend services with Azure data pipelines and databases. Manage database schemas, write complex SQL queries, and support ETL processes using Python-based tools. Build secure, scalable, and production-ready services following best practices in logging, authentication, and observability. Implement background tasks and async event-driven workflows for data crawling and processing. AI Engineering Contributions : Support integration of AI models (NLP, summarization, information retrieval) within backend APIs. Collaborate with AI team to deploy lightweight inference pipelines using PyTorch, TensorFlow, or ONNX. Participate in training data pipeline design and minor model fine-tuning as needed for business logic. Contribute to the testing, logging, and monitoring of AI agent behavior in production environments. Qualifications 3+ years of experience in Python backend development, with strong experience in FastAPI or equivalent frameworks. Solid understanding of RESTful API design, asynchronous programming, and web application architecture. Proficiency in working with relational databases (e.g., PostgreSQL, MS SQL Server) and Azure cloud services. Experience with ETL workflows, job scheduling, and data pipeline orchestration (Airflow, Prefect, etc.). Exposure to machine learning libraries (e.g., Scikit-learn, Transformers, OpenAI APIs) is a plus. Familiarity with containerization (Docker), CI/CD practices, and performance tuning. A mindset of code quality, scalability, documentation, and collaboration. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development: At Quantanite, you’ll have a personal development plan to help you improve in the areas you’re looking to develop over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. You’ll also have the opportunity to progress internally. As a fast-growing organization, our teams are growing, and you’ll have the chance to take on more responsibility over time. So, if you’re looking for a career full of purpose and potential, we’d love to hear from you!

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) ABOUT YOU Required • 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

Sr. Staff Engineer Role We are looking for a customer-obsessed, analytical Sr. Staff Engineer to lead the development and growth of our Tax Compliance product suite. In this role, you’ll shape innovative digital solutions that simplify and automate tax filing, reconciliation, and compliance workflows for businesses of all sizes. You will join a fast-growing company where you’ll work in a dynamic and competitive market, impacting how businesses meet their statutory obligations with speed, accuracy, and confidence. As the Sr. Staff Engineer, You’ll work closely with product, DevOps, and data teams to architect reliable systems, drive engineering excellence, and ensure high availability across our platform. We’re looking for a technical leader who’s not just an expert in building scalable systems, but also passionate about mentoring engineers and shaping the future of fintech. Responsibilities Lead, mentor, and inspire a high-performing engineering team (or operate as a hands-on technical lead). Drive the design and development of scalable backend services using Python/Node.js. Experience in Django, FastApi, Task Orchestration Systems. Own and evolve our CI/CD pipelines with Jenkins, ensuring fast, safe, and reliable deployments. Architect and manage infrastructure using AWS and Terraform with a DevOps-first mindset. Collaborate cross-functionally with product managers, designers, and compliance experts to deliver features that make tax compliance seamless for our users. Set and enforce engineering best practices, code quality standards, and operational excellence. Stay up-to-date with industry trends and advocate for continuous improvement in engineering processes. Experience in fintech, tax, or compliance industries. Familiarity with containerization tools like Docker and orchestration with Kubernetes. Background in security, observability, or compliance automation. Requirements 8+ years of software engineering experience, with at least 2+ years in a leadership or principal-level role. Deep expertise in Python/Node.js, including API development, performance optimization, and testing. Experience in Event-driven architecture, kafka/rabbitmq like Strong experience with AWS services (e.g., ECS, Lambda, S3, RDS, CloudWatch). Solid understanding of Terraform for infrastructure as code. Proficiency with Jenkins or similar CI/CD tooling. Comfortable balancing technical leadership with hands-on coding and problem-solving. Strong communication skills and a collaborative mindset. Skills:- Python, Django, Celery, FastAPI, Amazon Web Services (AWS) and CI/CD

Job Title: Senior Fast API Python Developer / Architect Employment Type: Full-time Location: Remote/On-site/Hybrid Job Summary: We are seeking an experienced Senior FastAPI Python Developer / Architect to design, develop, and maintain high-performance web applications and APIs. The ideal candidate will have extensive expertise in Python, FastAPI, and microservices architecture, along with a deep understanding of cloud-based, scalable, and secure backend solutions. This role requires leadership in architectural decision-making, performance optimization, and technical mentoring. Key Responsibilities: Architect, design, and develop scalable and high-performance FastAPI-based web applications and RESTful APIs. Lead the design and implementation of a microservices-based architecture for large scale applications. Implement best practices in API design, security, and performance optimization. Develop and manage asynchronous APIs and integrate them with databases, caching systems, and third-party services. Ensure code quality, maintainability, and scalability by enforcing best practices. Provide technical leadership and mentorship to the development team. Collaborate with frontend developers, DevOps engineers, and other stakeholders for seamless integration. Implement authentication, authorization, and security best practices using OAuth2, JWT, and API Key-based mechanisms. Optimize database schemas and queries for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Conduct code reviews, unit testing, and integration testing to maintain high reliability and performance. Stay up-to-date with FastAPI, Python, and modern backend development trends. Required Skills and Qualifications: Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. 5+ years of experience in backend development with Python. 3+ years of experience specifically with FastAPI. Strong expertise in asynchronous programming, microservices architecture, and API development. Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Deep understanding of authentication mechanisms like OAuth2, JWT, and API security best practices. Expertise in Docker, Kubernetes, and CI/CD pipelines. Strong background in cloud platforms (AWS, Azure, or Google Cloud). Experience with scalability, performance optimization, and caching techniques. Hands-on experience with unit testing frameworks (pytest, unittest) and CI/CD pipelines. Strong problem-solving skills and the ability to handle complex challenges. Ability to lead, mentor, and provide technical guidance to a team. Preferred Skills: Experience with Celery or other task queues for background processing. Knowledge of WebSockets and real-time applications. Experience in event-driven architectures and message queues (Kafka, RabbitMQ, or similar). Experience with GraphQL (optional but a plus). Previous experience working in an Agile/Scrum development environment. Contribution to open-source projects or personal FastAPI projects is highly regarded.

Immediate Openings for Senior Python Developer Skills:Python,Fast API, ML/DL Modules, CI/CD, AWS/Azure Exp:5-6yrs Location: Bangalore

AIML Engineer - MBM Relevant Experience: 5+ Years Location: Bangalore/Pune Employment Type: Full-time Shape the Future with Generative AI Are you passionate about harnessing cutting-edge Generative AI to create transformative real-world applications? Do you dream of building autonomous systems that learn, adapt, and make decisions independently? At Maersk, we’re reimagining how businesses solve complex problems with the power of Generative AI and Autonomous Agents. We’re looking for a AI/ML Engineer to join our dynamic team and play a pivotal role in building AI solutions that will define the future of intelligent systems. If you're excited about applying your expertise to projects that disrupt industries and drive measurable impact, we want to hear from you! This is an exciting opportunity for self-motivated engineers with technical expertise, creative problem-solving skills, and a talent for disruptive process transformation using AI/ML. What you'll do: Lead with autonomy: Take ownership of AI/ML projects from ideation to deployment, pushing boundaries of innovation. Design the future: Develop and fine-tune Generative AI models (LLMs, diffusion models, GANs, VAEs, etc.) to optimize SCP business processes and enhance productivity. Empower AI agents: Create agent AI architectures for autonomous decision-making, task delegation, and multi-agent collaboration using Agentic AI frameworks like AutoGPT. Innovate with LLM’s: Build & optimize LLM’s applications, leveraging RAG and build robust Machine Learning pipelines for NLP, Multimodal AI tasks. Work with cutting-edge tools: Harness the power of Vector Databases (e.g., Pinecone, FAISS, ChromaDB) and LLM APIs (OpenAI, Anthropic, Hugging Face, Mistral, Llama). Collaborate for impact: Partner with cross-functional teams to integrate AI solutions into real-world applications like chatbots, copilots, automation tools, etc.). Stay ahead: Perform continuous research on state-of-the-art AI methodologies, exploring advancements in Generative AI, Autonomous Agents, and NLP to drive innovation. Required Skills & Qualifications [Must have] Strong foundation in Machine Learning & Deep Learning with expertise in neural networks, optimization techniques and model evaluation. Experience with LLMs, Transformer architectures (BERT, GPT, LLaMA, Mistral, Claude, Gemini, etc.). Proficiency in Python, LangChain, Hugging Face transformers, MLOps. Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments. Knowledge of multimodal AI (integrating text, image, other data modalities into unified models. Nice-to-have Skills Experience with Prompt Engineering, Fine-tuning, and RAG techniques. Familiarity with Cloud Platforms (AWS, GCP, Azure) and deployment tools like Docker, Kubernetes, FastAPI, or Flask. Why Join Us: Innovate at scale: Work on groundbreaking Generative AI technologies that redefine what’s possible. Transform industries: Your work will directly impact how global organizations drive productivity and solve complex supply chain challenges. Collaborate with the best: Join a team of forward-thinking engineers, researchers, and product visionaries who are shaping the future of AI. Accelerate your growth: Enjoy opportunities to learn, grow, and lead in a fast-paced, innovation-driven environment. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Associate AI/ML Scientist – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement. You’ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs. What I'll be doing – your accountabilities? Design, develop, and implement machine learning models, conduct in-depth data analysis, and support decision-making with data-driven insights Develop predictive models and validate their effectiveness Support the design of experiments to validate and compare multiple machine learning approaches Research and implement cutting-edge techniques (e.g., transformers, GANs, reinforcement learning) and integrate models into production systems, ensuring scalability and reliability Apply creative problem-solving techniques to design innovative models, develop algorithms, or optimize workflows for data-driven tasks Independently apply data-driven solutions to ambiguous problems, leveraging tools like Natural Language Processing, deep learning frameworks, machine learning, optimization methods and computer vision frameworks Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects Write and integrate automated tests alongside their models or code to ensure reproducibility, scalability, and alignment with established quality standards Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance Foundational Skills Mastered Data Analysis and Data Science concepts and can demonstrate this skill in complex scenarios AI & Machine Learning, Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance. Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance: Data Validation and Testing Model Deployment Machine Learning Pipelines Deep Learning Natural Language Processing (NPL) Optimization & Scientific Computing Decision Modelling and Risk Analysis. To understand fundamentals and can demonstrate this skill in common scenarios with guidance: Technical Documentation. Qualifications & Requirements Bachelor's degree in B.E/BTech, preferably in computer science Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions) Communicate effectively with technical and non-technical audiences with experience in stakeholder management Structured, highly analytical mind-set and excellent problem-solving skills; Self-starter, highly motivated & Willing to share knowledge and work as a team. An individual who respects the opinion of others; yet can drive a decision though the team; Preferred Experiences 5+ years of years of relevant experience in the field of Data Engineering 3+ years of hands-on experience with Apache Spark, Python and SQL Experience working with large datasets and big data technologies to train and evaluate machine learning models. Experience with containerization: Kubernetes & Docker Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Role Summary 1. Demonstrate solid proficiency in Python development, writing clean, maintainable code. 2. Collaborator in the design and implementation of AI-driven applications leveraging large language models (LLMs). 3. Develop and maintain Django-based RESTful APIs to support backend services. 4. Integrate with LLM provider APIs (e.g., GPT, Claude, Cohere) and agent frameworks (LangChain, AgentStudio). 5. Build and optimize data pipelines for model training and inference using Pandas, NumPy, and Scikit-learn. 6. Ensure robust unit and integration testing via pytest to maintain high code quality. 7. Participate in agile ceremonies, contributing estimations, design discussions, and retrospectives. 8. Troubleshoot, debug, and optimize performance in multi-threaded and distributed environments. 9. Document code, APIs, and data workflows in accordance with software development best practices. 10. Continuously learn and apply new AI/ML tools, frameworks, and cloud services. Key Responsibilities 1. Write, review, and optimize Python code for backend services and data science workflows. 2. Design and implement Django REST APIs, ensuring scalability and security. 3. Integrate LLMs into applications: handle prompt construction, API calls, and result processing. 4. Leverage agent frameworks (LangChain, AgentStudio) to orchestrate complex LLM workflows. 5. Develop and maintain pytest suites covering unit, integration, and end-to-end tests. 6. Build ETL pipelines to preprocess data for model training and feature engineering. 7. Work with relational databases (PostgreSQL) and vector stores (FAISS, Weaviate, Milvus). 8. Containerize applications using Docker and deploy on Kubernetes or serverless platforms (AWS, GCP, Azure). 9. Monitor and troubleshoot application performance, logging, and error handling. 10. Collaborate with data scientists to deploy and serve ML models via FastAPI or vLLM. 11. Maintain CI/CD pipelines for automated testing and deployment. 12. Engage in technical learning sessions and share best practices across the team. Desired Skills & Qualifications - 1–3 years of hands-on experience in Python application development. - Proven pytest expertise, with a focus on test-driven development. - Practical knowledge of Django (or FastAPI) for building RESTful services. - Experience with LLM APIs (OpenAI, Anthropic, Cohere) and prompt engineering. - Familiarity with at least one agent framework (LangChain, AgentStudio). - Working experience in data science libraries: NumPy, Pandas, Scikit-learn. - Exposure to ML model serving tools (MLflow, FastAPI, vLLM). - Experience with container orchestration (Docker, Kubernetes, Docker Swarm). - Basic understanding of cloud platforms (AWS, Azure, or GCP). - Knowledge of SQL and database design; familiarity with vector databases. - Eagerness to learn emerging AI/ML technologies and frameworks. - Excellent problem-solving, debugging, and communication skills. Education & Attitude - Bachelor’s or Master’s in Computer Science, Data Science, Statistics, Mathematics, or related field. - Growth-mindset learner: proactive in upskilling and sharing knowledge. - Strong collaboration ethos and adaptability in a fast-paced AI environment.

Senior Software Engineer – Back end and Inferencing– Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief We are seeking a Senior Software Engineer with deep backend expertise to lead the development of scalable infrastructure for LLM inferencing, Model Context Protocol (MCP) integration, Agent-to-Agent (A2A) communication, prompt engineering, and robust API platforms. This role sits at the core of our AI systems stack — enabling structured, contextual, and intelligent communication between models, agents, and services. You'll design modular backend services that interface seamlessly with inferencing engines, orchestrate model contexts, and expose capabilities via APIs for downstream products and agents. What I'll be doing – your accountabilities? Architect and implement backend services that support dynamic model context management via MCP for LLM-based systems. Build scalable and token-efficient inference pipelines with support for streaming, context merging, memory, and retrieval. Enable Agent-to-Agent (A2A) messaging and task coordination through contextual protocols, message contracts, and execution chains. Design and maintain developer-friendly, secure, and versioned APIs for agents, tools, memory, context providers, and prompt libraries. Lead efforts in prompt engineering workflows including templating, contextual overrides, and programmatic prompt generation. Collaborate across engineering, ML, and product teams to define and implement context-aware agent systems and inter-agent communication standards to enable closed-loop enterprise AI Services ready for consumption by the enterprise. Own end-to-end delivery of infrastructure, inferencing, back-end, API and communication management in multi-agent system. Ensure models are modular, extensible, and easily integrated with external services/platforms (e.g., dashboards, analytics, AI agents). Foundational / Must Have Skills Bachelor’s, Master’s or Phd in Computer Science, Engineering, or related technical field. 8+ years of experience in backend systems design and development — ideally in AI/ML or data infrastructure domains. Strong proficiency in Python (FastAPI preferred); additional experience with Node.js, Go, or Rust is a plus. Experience with LLM inferencing pipelines, context windowing, and chaining prompts with memory/state persistence. Familiarity with or active experience implementing Model Context Protocol (MCP) or similar abstraction layers for context-driven model orchestration. Strong understanding of REST/GraphQL API design, OAuth2/JWT-based auth, and event-driven backend architectures. Practical knowledge of Redis, PostgreSQL, and one or more vector databases (e.g., Weaviate, Qdrant). Comfortable working with containerized applications, CI/CD pipelines, and cloud-native deployments (AWS/GCP/Azure). Preferred To Have Experience building or contributing to agent frameworks (e.g., LangGraph, CrewAI, AutoGen, Agno etc.). Background in multi-agent systems, dialogue orchestration, or synthetic workflows. Familiarity with OpenAI, Anthropic, HuggingFace, or open-weight model APIs and tool-calling protocols. Strong grasp of software security, observability (OpenTelemetry, Prometheus), and system performance optimization. Experience designing abstraction layers for LLM orchestration across different provider APIs (OpenAI, Claude, local inference). What You Can Expect Opportunity to lead backend architecture for cutting-edge, LLM-native systems. High-impact role in shaping the future of context-aware AI agent communication. Autonomy to drive backend standards, protocols, and platform capabilities across the org. Collaborative, remote-friendly culture with deep technical peers. As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

We are looking for talented Python Developers with 3 - 6 years of hands-on experience in Natural Language Processing (NLP) and Generative AI Models to join our growing team working on innovative projects in enterprise scale AI applications and solutions. Responsibilities: Design, evaluation, and best fit analysis of NLP / ML Models Design, fine-tuning, and deployment of open-source and API-based LLMs to solve real-world use cases Engage with clients for data preparation process, the subtleties of the fine-tuning procedure, and the challenges it presents. Lead efforts to address challenging data science and machine learning problems, spanning predictive modeling to natural language processing, with a significant impact on organizational success. Building data ingestion pipelines, handling various data formats such as JSON and YAML. Technical Qualifications: Strong in data collection, curation, and dataset preparation for ML Models (Classifiers / Categorization). Demonstrable expertise in area of data science or analytics (e.g., machine learning, deep learning, NLP, predictive modeling and forecasting, statistics). Strong experience in machine learning (unsupervised and supervised techniques) and experience in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, Attention, Generative Models etc would be a plus. SQL expertise for data extraction, transformation, and analysis. Experience in building and maintaining scalable APIs using FastAPI / Flask frameworks. Proficiency in Python, with experience in libraries such as PyTorch or TensorFlow. Solid understanding of data structures, embedding techniques, and vector search systems. Experience in SQL / NoSQL databases including PostgreSQL, MySQL and MongoDB. Proficiency in Graph Databases Neo4j. Generic Qualifications: Comfortable working with cross-functional teams product managers, data scientists, and other developers to deliver quality software solutions. Ensure software quality through code reviews, unit testing, and best practices for DevOps and CI/CD pipelines. Ability to manage time wisely across projects and competing priorities, meet agreed upon deadlines, and be accountable for work. Able to write maintainable and functionally tested modules. You should not hesitate in learning and building innovative solutions in newer technology stacks. Others: Candidate should be willing to relocate or commute to North Bangalore (Yelahanka) for work.

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.

Sanctity AI is a Netherlands-based startup founded by an IIT alum, specializing in ethical, safe, and impactful artificial intelligence. Our agile team is deeply focused on critical areas like AI alignment, responsible LLM training, prompt orchestration, and advanced agent infrastructure. In a landscape where many talk ethics, we build and deploy solutions that genuinely embody ethical AI principles. Sanctity AI is positioned at the forefront of solving real-world alignment challenges, shaping the future of trustworthy artificial intelligence. We leverage proprietary algorithms, rigorous ethical frameworks, and cutting-edge research to deliver AI solutions with unparalleled transparency, robustness, and societal impact. Sanctity AI represents a rare opportunity in the rapidly evolving AI ecosystem, committed to sustainable innovation and genuine human-AI harmony. The Role As an AI ML Intern reporting directly to the founder, you’ll go beyond just coding. You’ll own whole pipelines—from data wrangling to deploying cutting-edge ML models in production. You’ll also get hands-on experience with large language models (LLMs), prompt engineering, semantic search, and retrieval-augmented generation. Whether it’s spinning up APIs in FastAPI, containerizing solutions with Docker, or exploring vector and graph databases like Pinecone and Neo4j, you’ll be right at the heart of our AI innovation. What You’ll Tackle Data to Insights: Dive into heaps of raw data, and turn it into actionable insights that shape real decisions. Model Building & Deployment: Use Scikit-learn, XGBoost, LightGBM, and advanced deep learning frameworks (TensorFlow, PyTorch, Keras) to develop state-of-the-art models. Then, push them to production—scaling on AWS, GCP, or other cloud platforms. LLM & Prompt Engineering: Fine-tune and optimize large language models. Experiment with prompt strategies and incorporate RAG (Retrieval-Augmented Generation) for more insightful outputs. Vector & Graph Databases: Implement solutions using Pinecone, Neo4j, or similar technologies for advanced search and data relationships. Microservices & Big Data: Leverage FastAPI (or similar frameworks) to build robust APIs. If you love large-scale data processing, dabble in Apache Spark, Hadoop, or Kafka to handle the heavy lifting. Iterative Improvement: Observe model performance, gather metrics, and keep refining until the results shine. Who You Are Python Pro: You write clean, efficient Python code using libraries like Pandas, NumPy, and Scikit-learn. Passionate About AI/ML: You’ve got a solid grasp of algorithms and can’t wait to explore deep learning or advanced NLP. LLM Enthusiast: You’re familiar with training or fine-tuning large language models and love the challenge of prompt engineering. Cloud & Containers Savvy: You’ve at least toyed with AWS, GCP, or similar, and have some experience with Docker or other containerization tools. Data-Driven & Detail-Oriented: You enjoy unearthing insights in noisy datasets and take pride in well-documented, maintainable code. Curious & Ethical: You believe AI should be built responsibly and love learning about new ways to do it better. Languages: You can fluently communicate complex technical ideas in English. Fluency in Dutch, Spanish or French is a plus. Math Wizard: You have a strong grip on Advanced Mathematics and Statistical modeling. This is a core requirement. Why Join Us? Real-World Impact: Your work will address real world and industry challenges—problems that genuinely need AI solutions. Mentorship & Growth: Team up daily with founders and seasoned AI pros, accelerating your learning and skill-building. Experimentation Culture: We encourage big ideas and bold experimentation. Want to try a new approach? Do it. Leadership Path: Show us your passion and skills, and you could move into a core founding team member role, shaping our future trajectory. Interested? Send over your résumé, GitHub repos, or any project links that showcase your passion and talent. We can’t wait to see how you think, build, and innovate. Let’s team up to create AI that isn’t just powerful—but also responsibly built for everyone.

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.

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.

Job Title: AI Engineer Location: Chennai Experience: 3 to 5 years Employment Type: Full-Time Job Summary: We are seeking an AI Engineer with strong proficiency in Python and hands-on experience in building AI-powered applications. The ideal candidate should have experience working with FastAPI, Langchain, and Pydantic, along with a solid understanding of Generative AI concepts, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG). Key Responsibilities: Develop, integrate, and optimize AI-powered applications using FastAPI and Langchain. Design and deploy APIs using FastAPI with Pydantic for data validation. Implement and fine-tune solutions leveraging Large Language Models (LLMs). Build and optimize Prompt Engineering pipelines for LLM interactions. Design and implement Retrieval-Augmented Generation (RAG) solutions for enhanced contextual responses. Collaborate with data scientists, product managers, and engineers to deliver high-quality AI applications. Continuously research and experiment with advancements in Generative AI technologies. Key Skills & Technologies: Programming: Python (Intermediate to Advanced) Frameworks & Libraries: FastAPI (API development) Langchain (LLM integrations & workflows) Pydantic (Data validation and settings management) AI/ML Concepts: Generative AI (Basics) Large Language Models (LLM) Understanding architecture, capabilities, and limitations Prompt Engineering Techniques for effective LLM interactions Retrieval-Augmented Generation (RAG) – Building hybrid retrieval-generation systems Version Control: Git, GitHub/GitLab CI/CD: Familiarity with deployment pipelines (optional) Preferred/Optional (Good to Have): Experience with AI Agent Frameworks such as: LangGraph CrewAI Knowledge of Vector Databases (e.g., FAISS, Chroma) Cloud Platforms (AWS, Azure, GCP) Containerization (Docker)

Position: Fullstack Engineer — Frontend-Focused Experience: 3–5 Years Location: Chennai Tech Stack: React.js, Python, FastAPI, Golang, Langraph, Redis About the Role: We’re seeking a skilled Fullstack Engineer with a strong frontend focus to help us build engaging, high-performance web applications. You’ll spend the majority of your time developing intuitive and responsive user interfaces using React.js, while also collaborating on backend APIs using Python (FastAPI) and Golang when needed. Key Responsibilities : ● Design and develop responsive, reusable UI components with React.js. ● Optimize frontend performance and ensure cross-browser compatibility. ● Implement state management using modern React hooks and patterns. ● Build and maintain RESTful APIs and microservices with FastAPI and Golang. ● Integrate frontend with backend services, ensuring seamless user experience. ● Use Redis for caching and performance improvements where needed. ● Collaborate closely with designers and backend engineers. ● Work with Langraph for AI agent integration (if applicable). Requirements: ● 3–5 years of experience in frontend development, with strong React.js expertise. ● Solid understanding of HTML5, CSS3, JavaScript ES6+, and component-based architecture. ● Practical experience with Python (FastAPI) and Golang for backend tasks. ● Familiarity with Redis and caching strategies. ● Basic understanding of AI agent frameworks like Langraph is a plus. ● Good grasp of REST API integration. ● Strong communication and teamwork skills. Nice to Have: ● Familiarity with design systems, accessibility, or animation libraries. ● Experience with containerization (Docker) or cloud services. ● Knowledge of CI/CD pipelines.

Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of ML/DL R&D Engineer For Details Contact: hr-cybersecurity@am.amrita.edu Job Title ML/DL R&D Engineer Location Kollam, Kerala Job description Join our research-driven team to develop tools for robustness and fairness testing in AI models, integrating ML/DL research with practical backend development for scalable deployments at Center for Cybersecurity Systems and Networks Key Responsibilities Research and implement adversarial ML techniques (e.g., FGSM, PGD, DeepFool) to test model robustness. Design and run evaluation pipelines that probe AI models for toxic outputs, bias, or misinformation propagation, using established LLM auditing frameworks or evaluation methods. Build scalable, production-ready APIs and tools for model evaluation using FastAPI and Docker. Integrate with libraries and frameworks like IBM ART, Foolbox, and CleverHans. Automate ML testing pipelines with continuous integration/deployment. Maintain reproducible, well-documented code and experiments in a collaborative Git-based environment. Ensure robustness tools are optimized and compatible with Linux-based systems. Required Skills Machine Learning / Deep Learning Strong grasp of ML/DL fundamentals and hands-on experience with PyTorch and TensorFlow. Familiarity with adversarial ML concepts: evasion, poisoning, extraction, etc. Familiarity with fundamentals of LLMs and LLM safety evaluations and auditing. Backend Engineering Proficient in building and deploying APIs with FastAPI or equivalent. Hands-on experience with Docker, Git, Linux shell environments. Familiarity with relational databases such as PostgreSQL, MySQL, or SQLite, including basic querying and integration with backend systems. Others: Strong analytical and problem-solving skills. Ability to work independently in a research + engineering hybrid environment. Strong written communication for documentation and reporting. Last date to apply July 31, 2025

Job Title: Python Backend Engineer – AWS | GenAI & ML Experience: 5 Years Employment Type: Full-Time Job Summary: We are seeking an experienced Python Backend Engineer with strong AWS expertise and a background in AI/ML to build and scale intelligent backend systems and GenAI-driven applications. The ideal candidate should have hands-on experience building REST APIs using Django or FastAPI and implementing AI/LLM applications using Langchain. Experience with LangGraph is a strong plus. Key Responsibilities: Design, develop, and maintain Python-based backend systems and AI-powered services. Build and manage RESTful APIs using Django or FastAPI for AI/ML model integration. Develop and deploy machine learning and GenAI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Implement GenAI pipelines using Langchain; LangGraph experience is a plus. Utilize AWS services including EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment. Collaborate with data scientists, DevOps, and architects to integrate models and workflows into production. Build and manage CI/CD pipelines for backend and model deployments. Ensure performance, scalability, and security of applications in cloud environments. Monitor production systems, troubleshoot issues, and optimize model and API performance. Required Skills and Experience: 5 years of hands-on experience in Python backend development. Strong experience building RESTful APIs using Django or FastAPI. Proficiency in AWS cloud services: EC2, S3, Lambda, SageMaker, CloudFormation, etc. Solid understanding of ML/AI concepts and model deployment practices. Experience with ML libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Hands-on experience with Langchain for building GenAI applications. Familiarity with DevOps tools: Docker, Kubernetes, Git, Jenkins, Terraform. Good understanding of microservices architecture and CI/CD workflows. Agile development experience. Nice to Have: Experience with LangGraph for agentic workflows or graph-based orchestration. Knowledge of LLMs, embeddings, and vector databases (e.g., Pinecone, FAISS). Exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms. Understanding of MLOps tools and practices for model monitoring, versioning, and retraining. Job Types: Full-time, Permanent Pay: ₹1,100,000.00 - ₹1,500,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Morning shift Work Location: In person Speak with the employer +91 9966550640