Experience : 3.00 + years Salary : USD 18000-30000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Steer Health) What do you need for this opportunity? Must have skills required: Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow, Dialogflow, FastAPI, LLMs, Pytorch, Python Steer Health is Looking for: About The Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. You’ll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If you’re passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. Experience integrating Dialogflow or similar platforms for conversational AI. Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). Contributions to open-source AI/healthcare projects. Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? Impact: Your work will directly enhance healthcare delivery for millions of patients. Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. Culture: Collaborative, mission-driven team with flexible work policies. 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! Show more Show less

Data Architect Qualifications: 12+ years of experience. Location: Kolkata | Pune | Bangalore | Indore Skills : Big data technologies and analytics: Majority of Hadoop, Hive, Cassandra, MDM, Data Lakes, Streaming data management and Analytics, Spark, Kafka, Redis, Databricks etc. Proficiency in programming languages such as Python, Java, Spark and associated libraries and frameworks. Hands-on and proficient in Databases (on-prem and Cloud), Messaging Apps, API Development and libraries. Very good knowledge of cloud-based architecture, APIs, frameworks for Data Engineering and Analytics. Knowledge of Data Governance & Data Quality Management, Metadata & Lineage Management, Exposure to enterprise level Data migration, Data Warehousing and DB modeling. Good understanding of Microservices and Test-Driven development. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn). Python libraries for API development e.g. FastAPI, Flask, Django. Expertise standard ETL and Data Visualization tools like Talend, Tableau, Power BI etc. Expert in performance optimization and query tuning. Working knowledge on AI and ML including concepts in NLP, Computer Vision and breadth of ML algorithms, DL frameworks. Good knowledge of Gen AI based tools and frameworks. Role Description : 1. Play a role of solution architect/consultant for end-to-end Data Engineering and Analytics solutions including data, technology infrastructure and models. 2. Design and development of solutions according to the business objective. 3. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the solutions in the real world 4. Verifying data quality, and/or ensuring it via data cleaning 5. Supervising the data acquisition process if more data is needed 6. Defining data augmentation pipelines 7. Work with the technology team to plan, execute, and deliver Data Engineering Product based projects. Contribute towards the best practices regarding handling the projects. 8. Provide technical design, implementation, and support services around the creation of APIs, Models and Integration Pipelines. 9. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools 10. Environments Understanding of the auxiliary practical concerns in production systems. 11. Strong communication, presentation and consulting skills, including technical writing skills and the ability to listen and understand client issue. Show more Show less

Job Title: Senior Python Developer Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience: 3–8 years About Darwix AI Darwix AI is one of India’s fastest-growing AI startups, transforming enterprise sales with our GenAI-powered conversational intelligence and real-time agent assist suite. Our platform is used by high-growth enterprises across India, MENA, and Southeast Asia to improve sales productivity, personalize customer conversations, and unlock revenue intelligence in real-time. We are backed by marquee VCs, 30+ angel investors, and led by alumni from IITs, IIMs, and BITS with deep experience in building and scaling products from India for the world. Role Overview As a Senior Python Developer at Darwix AI, you will be at the core of our engineering team, leading the development of scalable, secure, and high-performance backend systems that support AI workflows, real-time data processing, and enterprise-grade integrations. This role requires deep technical expertise in Python, a strong foundation in backend architecture, and the ability to collaborate closely with AI, product, and infrastructure teams. You will take ownership of critical backend modules and shape the engineering culture in a rapidly evolving, high-impact environment. Key Responsibilities System Architecture & API Development Design, implement, and optimize backend services and microservices using Python frameworks such as FastAPI, Django, or Flask Lead the development of scalable RESTful APIs that integrate with frontend, mobile, and AI systems Architect low-latency, fault-tolerant services supporting real-time sales analytics and AI inference Data Pipelines & Integrations Build and optimize ETL pipelines to manage structured and unstructured data from internal and third-party sources Integrate APIs with CRMs, telephony systems, transcription engines, and enterprise platforms like Salesforce, Zoho, and LeadSquared Lead scraping and data ingestion efforts from large-scale, dynamic web sources using Playwright, BeautifulSoup, or Scrapy AI/ML Enablement Work closely with AI engineers to build infrastructure for LLM/RAG pipelines , vector DBs , and real-time AI decisioning Implement backend support for prompt orchestration , Langchain flows , and function-calling interfaces Support model deployment, inference APIs, and logging/monitoring for large-scale GenAI pipelines Database & Storage Design Optimize database design and queries using MySQL , PostgreSQL , and MongoDB Architect and manage Redis and Kafka for caching, queueing, and real-time communication DevOps & Quality Ensure continuous delivery through version control (Git), CI/CD pipelines, testing frameworks, and Docker-based deployments Identify and resolve bottlenecks related to performance, memory, or data throughput Adhere to best practices in code quality, testing, security, and documentation Leadership & Collaboration Mentor junior developers and participate in code reviews Collaborate cross-functionally with product, AI, design, and sales engineering teams Contribute to architectural decisions, roadmap planning, and scaling strategies Qualifications 4–8 years of backend development experience in Python, with a deep understanding of object-oriented and functional programming Hands-on experience with FastAPI , Django , or Flask in production environments Proven experience building scalable microservices, data pipelines, and backend systems that support live applications Strong command over REST API architecture , database optimization, and data modeling Solid experience working with web scraping tools , automation frameworks, and external API integrations Knowledge of AI tools like Langchain , HuggingFace , Vector DBs (Pinecone, Weaviate, FAISS) , or RAG architectures is a strong plus Familiarity with cloud infrastructure (AWS/GCP) , Docker, and containerized deployments Comfortable working in fast-paced, high-ownership environments with shifting priorities and dynamic problem-solving Bonus Prior experience in an early-stage SaaS startup or AI-first product environment Contributions to open-source Python projects or developer communities Experience working with real-time streaming systems (Kafka, Redis Streams, WebSockets) What We Offer Competitive fixed salary + performance-linked incentives Equity options for high-impact performers Opportunity to work on cutting-edge GenAI and SaaS products used by global enterprises Autonomy, rapid decision-making, and direct interaction with founders and senior leadership High-growth environment with clear progression toward Tech Lead or Engineering Manager roles Access to tools, compute, and learning resources to accelerate your technical and leadership growth Show more Show less

🚀 AI Engineering Intern (SDE) – Founding Tech Interns | Opportunity of a Lifetime Location: Gurgaon (In-Office) Duration: 3–6 months (Flexible based on academic schedule) Start Date: Immediate openings Open to: Tier 1 college students graduating in 2025 or 2026 Compensation: Stipend + Pre-Placement Offer potential + Founders’ recommendation for global fellowships (Google, Meta, etc.) 🧠 About Us – Darwix AI Darwix AI is on a mission to solve a problem no one's cracked yet — building real-time, multilingual conversational intelligence for omnichannel enterprise sales teams using the power of Generative AI. We're building India’s answer to Gong + Refract + Harvey AI — trained on 1M+ hours of sales conversations, and packed with industry-first features like live agent coaching , speech-to-text in 11 Indic languages , and autonomous sales enablement nudges . We’ve got global clients, insane velocity, and a team of ex-operators from IIMs, IITs, and top-tier AI labs. 🌌 Why This Internship is Unlike Anything Else 💡 Work on a once-in-a-decade problem — pushing the boundaries of GenAI + Speech + Edge compute. 🛠️ Ship real products used by enterprise teams across India & the Middle East. 🧪 Experiment freely — train models, optimize pipelines, fine-tune LLMs, or build scrapers that work in 5 languages. 🚀 Move fast, learn faster — direct mentorship from the founding engineering and AI team. 🏆 Proof-of-excellence opportunity — stand out in every future job, B-school, or YC application. 💻 What You'll Do Build and optimize core components of our real-time agent assist engine (Python + FastAPI + Kafka + Redis). Train, evaluate, and integrate whisper, wav2vec, or custom STT models on diverse datasets. Work on LLM/RAG pipelines , prompt engineering, or vector DB integrations. Develop internal tools to analyze, visualize, and scale insights from conversations across languages. Optimize for latency, reliability, and multilingual accuracy in dynamic customer environments. 🌟 Who You Are Pursuing a B.Tech/B.E. or dual degree from IITs, IIITs, BITS, NIT Trichy/Warangal/Surathkal, or other top-tier institutes. Comfortable with Python , REST APIs, and database operations. Bonus: familiarity with FastAPI, Langchain, or HuggingFace. Passionate about AI/ML, especially NLP, GenAI, ASR, or multimodal systems. Always curious, always shipping, always pushing yourself beyond the brief. Looking for an internship that actually matters — not one where you're just fixing CSS. 🌐 Tech You’ll Touch Python, FastAPI, Kafka, Redis, MongoDB, Postgres Whisper, Deepgram, Wav2Vec, HuggingFace Transformers OpenAI, Anthropic, Gemini APIs LangChain, FAISS, Pinecone, LlamaIndex Docker, GitHub Actions, Linux environments 🎯 What’s in it for you A pre-placement offer for the best performers. A chance to be a founding engineer post-graduation. Exposure to the VC ecosystem , client demos, and GTM strategies. Stipend + access to tools/courses/compute resources you need to thrive. 🚀 Ready to Build the Future? If you’re one of those rare folks who can combine deep tech with deep curiosity , this is your call to adventure. Join us in building something that’s never been done before. Apply now at careers@cur8.in Attach your CV + GitHub/Portfolio + a line on why this excites you. Bonus points if you share a project you’ve built or an AI problem you’re obsessed with. Darwix AI | GenAI for Revenue Teams | Built from India for the World Show more Show less

About the Role We’re looking for top-tier AI/ML Engineers with 6+ years of experience to join our fast-paced and innovative team. If you thrive at the intersection of GenAI, Machine Learning, MLOps, and application development, we want to hear from you. You’ll have the opportunity to work on high-impact GenAI applications and build scalable systems that solve real business problems. Key Responsibilities Design, develop, and deploy GenAI applications using techniques like RAG (Retrieval Augmented Generation), prompt engineering, model evaluation, and LLM integration. Architect and build production-grade Python applications using frameworks such as FastAPI or Flask . Implement gRPC services , event-driven systems ( Kafka, PubSub ), and CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams to frame business problems as ML use-cases — regression, classification, ranking, forecasting, and anomaly detection. Own end-to-end ML pipeline development : data preprocessing, feature engineering, model training/inference, deployment, and monitoring. Work with tools such as Airflow , Dagster , SageMaker , and MLflow to operationalize and orchestrate pipelines. Ensure model evaluation , A/B testing , and hyperparameter tuning is done rigorously for production systems. Must-Have Skills Hands-on experience with GenAI/LLM-based applications – RAG, Evals, vector stores, embeddings. Strong backend engineering using Python , FastAPI/Flask , gRPC, and event-driven architectures. Experience with CI/CD , infrastructure, containerization, and cloud deployment (AWS, GCP, or Azure). Proficient in ML best practices : feature selection, hyperparameter tuning, A/B testing, model explainability. Proven experience in batch data pipelines and training/inference orchestration . Familiarity with tools like Airflow/Dagster , SageMaker , and data pipeline architecture . Show more Show less

Lead Python Engineer – Backend & AI Integrations Location: Gurgaon Working Days: Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM – 8:00 PM Experience : 3–8 years Function: Backend Engineering | AI Platform Integration | Scalable Systems About Darwix AI Darwix AI is one of India’s fastest-growing GenAI SaaS companies powering real-time decision intelligence for enterprise revenue teams. Our platform transforms frontline performance through: Transform+: Live agent nudges & call intelligence Sherpa.ai: GenAI-powered multilingual sales coach Store Intel: Computer vision for in-store sales analysis We serve market leaders across BFSI, real estate, and retail—including IndiaMart, Wakefit, GIVA, Sobha, and Bank Dofar. Our stack processes thousands of voice conversations daily, powers real-time dashboards, and delivers high-stakes nudges that directly impact multi-crore revenue pipelines. We are building at the intersection of voice AI, backend scale, and real-time analytics. You will play a key role in shaping the tech foundation that drives this mission. Role Overview We’re looking for a Lead Python Engineer to architect, own, and scale the core backend systems that power Darwix AI’s GenAI applications. You’ll work at the confluence of backend engineering, data pipelines, speech processing, and AI model integrations—supporting everything from real-time call ingestion to multi-tenant analytics dashboards. You will lead a high-performing engineering pod, collaborate with product, AI, and infra teams, and mentor junior engineers. This is a high-impact, ownership-first role with direct influence over product velocity, system performance, and enterprise reliability. Key Responsibilities 1. Backend Architecture & Infrastructure Design and maintain scalable APIs and backend systems using Python (FastAPI) Optimize data flow for speech-to-text transcription, diarization outputs, and call scoring workflows Build and maintain modular service components (STT, scoring engine, notification triggers) Manage asynchronous job queues (Celery, Redis) for large batch processing Ensure high availability, security, and scalability of backend systems across geographies 2. AI/ML Integration & Processing Pipelines Integrate with LLMs (OpenAI, Cohere, Hugging Face) and inference APIs for custom use cases Handle ingestion and parsing of STT outputs (WhisperX, Deepgram, etc.) Work closely with the AI team to productionize model outputs into usable product layers Manage embedding pipelines, RAG workflows, and retrieval caching across client tenants 3. Database & Data Engineering Design and maintain schemas across PostgreSQL, MongoDB, and TimescaleDB Optimize read/write operations for large call data, agent metrics, and dashboard queries Collaborate on real-time analytics systems used by enterprise sales teams Implement access controls and tenant isolation logic for sensitive sales data 4. Platform Reliability, Monitoring & Scaling Collaborate with DevOps team on infrastructure orchestration (Docker, Kubernetes, GitHub Actions) Set up alerting, logging, and auto-recovery protocols for uptime guarantees Drive version control and CI/CD automation for releases with minimal regression Support benchmarking, load testing, and latency reduction initiatives 5. Technical Leadership & Team Collaboration Mentor junior engineers, review pull requests, and enforce code quality standards Collaborate with product managers on scoping and technical feasibility Break down large tech initiatives into sprints and delegate effectively Take ownership of technical decisions and present trade-offs with clarity Required Skills & Experience 3–8 years of hands-on backend engineering experience, primarily in Python Strong grasp of FastAPI, REST APIs, job queues (Celery), and async workflows Solid experience with relational and NoSQL databases: PostgreSQL, MongoDB, Redis Familiarity with working on production systems involving large-scale API calls or streaming data Prior experience integrating 3rd-party APIs (e.g., OpenAI, CRM, VoIP, or transcription vendors) Working knowledge of Docker, CI/CD pipelines (GitHub Actions preferred), and basic infra scaling Experience working in high-growth SaaS or data-product companies Bonus Skills (Preferred, Not Mandatory) Experience with LLM applications, vector stores (FAISS, Pinecone), and RAG pipelines Familiarity with speech-to-text engines (WhisperX, Deepgram) and audio processing Prior exposure to multi-tenant SaaS systems with role-based access and usage metering Knowledge of OAuth2, webhooks, event-driven architectures Experience with frontend collaboration (Angular/React) and mobile APIs Contributions to open-source projects, technical blogs, or developer communities Show more Show less

Job Title: Senior Python Developer – Backend Engineering Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 4–8 Years About Darwix AI Darwix AI is building India’s most advanced GenAI-powered platform for enterprise sales teams. We combine speech recognition, LLMs, vector databases, real-time analytics, and multilingual intelligence to power customer conversations across India, the Middle East, and Southeast Asia. We’re solving complex backend problems across speech-to-text pipelines , agent assist systems , AI-based real-time decisioning , and scalable SaaS delivery . Our engineering team sits at the core of our product and works closely with AI research, product, and client delivery to build the future of revenue enablement. Backed by top-tier VCs, AI advisors, and enterprise clients, this is a chance to build something foundational. Role Overview We are hiring a Senior Python Developer to architect, implement, and optimize high-performance backend systems that power our AI platform. You will take ownership of key backend services—from core REST APIs and data pipelines to complex integrations with AI/ML modules. This role is for builders. You’ll work closely with product, AI, and infra teams, write production-grade Python code, lead critical decisions on architecture, and help shape engineering best practices. Key Responsibilities 1. Backend API Development Design and implement scalable, secure RESTful APIs using FastAPI , Flask , or Django REST Framework Architect modular services and microservices to support AI, transcription, real-time analytics, and reporting Optimize API performance with proper indexing, pagination, caching, and load management strategies Integrate with frontend systems, mobile clients, and third-party systems through clean, well-documented endpoints 2. AI Integrations & Inference Orchestration Work closely with AI engineers to integrate GenAI/LLM APIs (OpenAI, Llama, Gemini), transcription models (Whisper, Deepgram), and retrieval-augmented generation (RAG) workflows Build services to manage prompt templates, chaining logic, and LangChain flows Deploy and manage vector database integrations (e.g., FAISS , Pinecone , Weaviate ) for real-time search and recommendation pipelines 3. Database Design & Optimization Model and maintain relational databases using MySQL or PostgreSQL ; experience with MongoDB is a plus Optimize SQL queries, schema design, and indexes to support low-latency data access Set up background jobs for session archiving, transcript cleanup, and audio-data binding 4. System Architecture & Deployment Own backend deployments using GitHub Actions , Docker , and AWS EC2 Ensure high availability of services through containerization, horizontal scaling, and health monitoring Manage staging and production environments, including DB backups, server health checks, and rollback systems 5. Security, Auth & Access Control Implement robust authentication (JWT, OAuth), rate limiting , and input validation Build role-based access controls (RBAC) and audit logging into backend workflows Maintain compliance-ready architecture for enterprise clients (data encryption, PII masking) 6. Code Quality, Documentation & Collaboration Write clean, modular, extensible Python code with meaningful comments and documentation Build test coverage (unit, integration) using PyTest , unittest , or Postman/Newman Participate in pull requests, code reviews, sprint planning, and retrospectives with the engineering team Required Skills & QualificationsTechnical Expertise 3–8 years of experience in backend development with Python, PHP. Strong experience with FastAPI , Flask , or Django (at least one in production-scale systems) Deep understanding of RESTful APIs , microservice architecture, and asynchronous Python patterns Strong hands-on with MySQL (joins, views, stored procedures); bonus if familiar with MongoDB , Redis , or Elasticsearch Experience with containerized deployment using Docker and cloud platforms like AWS or GCP Familiarity with Git , GitHub , CI/CD pipelines , and Linux-based server environments Plus Points Experience working on audio processing , speech-to-text (STT) pipelines, or RAG architectures Hands-on with vector databases or LangChain , LangGraph Exposure to real-time systems, WebSockets, and stream processing Basic understanding of frontend integration workflows (e.g., with HTML/CSS/JS interfaces) Show more Show less

Contract Role: Data Scientist (Remote, Evening Shift) Duration: 2 Months Shift: 5 PM – 9 PM IST (Remote only) Experience: 8–10 years Start: Immediate Eligibility: Only candidates currently working remotely Key Skills Required: -LLMs & GenAI: GPT, Claude, Mistral, prompt engineering, fine-tuning -RAG: Vector DBs (FAISS, Pinecone), retrieval pipelines -Agentic AI: LangChain Agents, AutoGPT, multi-agent systems -LLMOps: Deployment (FastAPI, Docker), monitoring (Langfuse, PromptLayer) -Vendor Tools: OpenAI, Anthropic, Google, AWS, Azure -Databases: SQL, NoSQL, knowledge bases -Solutioning & Deployment: End-to-end delivery, API integration Show more Show less

Job Title: Backend Development Engineer Primary Tech stack: Python Experience level: 2 years and above Salary: 5-8LPA Location: T-Hub, Hyderabad (In-office) Joining: Immediate or as per availability "Minimum two years of experience as a Backend Developer with leadership skills" We are looking for a skilled Backend Developer with expertise in AI-driven applications to join our dynamic tech team. In this role, you will be instrumental in building and maintaining the backend logic of AI-driven web applications, focusing on developing scalable infrastructure for large language models (LLMs), agents, and AI workflows. Your expertise in Python, LangChain, LangGraph, and server-side logic will be crucial in developing robust and intelligent backend systems. This position is ideal for someone who thrives in a collaborative environment, is passionate about AI, and is eager to contribute to innovative product development. What will you do? (but not limited to) Develop and manage APIs and microservices using Python, FastAPI, or Flask to support AI-driven functionalities. Design, implement, and optimize workflows leveraging LangChain, LangGraph, and other AI frameworks. Build and deploy scalable AI agents and workflows using LLMs (GPT, Claude, Gemini, etc.). Integrate various AI models, fine-tune them, and optimise their inference performance. Develop and maintain vector databases and retrieval-augmented generation (RAG) pipelines for enhanced AI responses. Collaborate with front-end developers and UI/UX designers to integrate AI-driven backend logic with the user interface. Implement robust security measures, authentication, and data protection for AI applications. Optimize application performance, ensuring minimal latency in AI-driven workflows. Work with cloud platforms like AWS, Azure, or GCP for model deployment and scalable infrastructure management. Debug, troubleshoot, and improve applications while ensuring robustness and scalability. Mentor junior developers and share knowledge about AI best practices and advancements. Stay updated with emerging trends in AI, LLMs, and backend development. Work closely with the product team to translate business requirements into robust technical solutions. Who can apply? Bachelor's degree or higher in Computer Science, Software Engineering, or related field. Minimum 2 years of experience as a Backend Developer, with a proven track record in developing and deploying web applications. Proficiency in Python and frameworks such as FastAPI, Flask, or Django. Familiarity with embeddings, fine-tuning LLMs and working with vector databases like Pinecone. Strong experience in server management, including setup, administration, and optimisation. Experience in integrating and working with LLM models will be considered a plus, alongside an understanding of the JavaScript (Node.js/Express.js/MongoDB) stack. In-depth knowledge of security practices, including data protection and vulnerability management. Expertise in database administration and performance tuning. Familiarity with code versioning tools, such as Git/GitHub. Strong problem-solving skills, with an ability to think algorithmically and a keen eye for debugging and optimising code. Experience in a startup environment and building products from scratch is highly preferred. Excellent communication skills and the ability to work effectively in a team. Strong project management skills, with experience in agile methodologies. What do we offer? A supportive and flexible workplace that promotes work-life balance, recognising and appreciating your contributions. The autonomy to embrace, explore, and experiment with your ideas. An inclusive environment where your individuality is highly valued, fostering open dialogue and diverse perspectives. Additional Benefits Cross-functional exposure to diverse teams, enabling a holistic understanding of all business functions. Engaging social events that foster camaraderie and networking opportunities with various startups. A fantastic problem-solving team that criticises and gels along, creating a better version of every idea. About Shoshin Tech We're more than just a tech startup — we're on a mission to build a platform that empowers professionals, educators, and researchers to work smarter, faster, and with greater impact. Our tools are designed not just for productivity, but for transformation. If you possess a creative and innovative mindset, entrepreneurial spirit, and can-do attitude, where you hold a genuine passion for cutting-edge technology, a drive to facilitate transformative learning experiences or a commitment to promoting well-being for all, and wish to be part of a high-performance team enthusiastic about operational excellence, you’lll love it here. Shoshin Tech believes in envisioning an Equal Opportunity Employer - We celebrate diversity and are committed to creating an inclusive environment for all teams. We are committed to working with and providing reasonable accommodations to individuals with disabilities. Show more Show less

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world. About the Role We at Innovaccer are looking for a Software Development Engineer-II (Backend) to build the most amazing product experience. You’ll get to work with other engineers to build delightful feature experiences to understand and solve our customer’s pain points. A Day in the Life Building efficient and reusable applications and abstractions. Identify and communicate back-end best practices. Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA and delivery Analyze and improve the performance, scalability, stability, and security of the product Improve engineering standards, tooling, and processes What You Need 3+ years of experience with a start-up mentality and high willingness to learn Expert in Python and experience with any web framework (Django, FastAPI, Flask etc) Aggressive problem diagnosis and creative problem-solving skill Expert in Kubernetes and containerization Experience in RDBMS & NoSQL database such as Postgres, MongoDB, (any OLAP database is good to have) Experience in cloud service providers such as AWS or Azure. Experience in Kafka, RabbitMQ, or other queuing services is good to have. Working experience in BigData / Distributed Systems and Async Programming Bachelor's degree in Computer Science/Software Engineering. Preferred Skills Expert in Python and any web framework. Experience in working with Kubernetes and any cloud provider(s). Any SQL or NoSQL database. Working experience in distributed systems. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. Show more Show less

We are looking for a seasoned AI Architect to join our dynamic AI team working on advanced products for the Banking, Financial Services, and Insurance (BFSI) sector. This role demands a strategic thinker with strong technical depth who can lead end-to-end architecture design, deployment planning, and scaling of AI-driven systems, both on AWS cloud and on-premise environments. Design and implement robust, secure, and scalable AI/ML system architectures for BFSI products. Architect end-to-end solutions involving data pipelines, model serving, monitoring, and CI/CD workflows. Lead infrastructure design for cloud (AWS) and on-premise deployments, ensuring high availability and compliance. Collaborate with backend, frontend, and data science teams to ensure seamless integration of AI components into products. Define and enforce best practices in MLOps, data governance, model versioning, and API integrations. Plan and manage product scalability, performance optimization, and load balancing for real-time and batch systems. Evaluate trade-offs in system design, keeping security, latency, and BFSI regulations in mind. Conduct code and design reviews and mentor team members on architectural standards. Skills: Strong experience designing and deploying AI/ML systems in AWS and on-premise environments. Deep understanding of AI/ML infrastructure, MLOps practices, and scalable architecture patterns. LLMs base and fine tuned building and handling at scale for different tasks Experience working in or with clients from the BFSI sector with awareness of data security and compliance requirements. Solid grasp of Docker, Kubernetes, EC2, S3, Lambda, CloudWatch, and VPC setup. Familiarity with model deployment frameworks (e.g., FastAPI, Flask, TorchServe, TensorFlow Serving). Basic understanding of frontend and backend. Knowledge of networking, load balancing, auto-scaling, and high availability systems. Strong documentation and communication skills. Excellent verbal communication skills Good problem-solving skills, Attention to detail, Ability to multitask Excellent troubleshooting and problem-solving abilities are required Location: Work from Office in Mumbai City. Job Type: Full-time Pay: ₹150,000.00 - ₹250,000.00 per month Schedule: Day shift Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Post selection, can you join immediately or within 30 days? Experience: AI Architect Relevant: 3 years (Preferred) Work Location: In person

Job Title: Senior Software Engineer 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 Senior Software Engineer to join one of our top customers., committed to designing and implementing high-performance microservices. The ideal candidate will have extensive experience with Python, FastAPI, task queues, web sockets and Kubernetes to build scalable solutions for our platforms. This is an exciting opportunity for those who thrive in challenging environments and have a passion for technology and innovation. Key Responsibilities: Design and develop backend services using Python, with an emphasis on FastAPI for high-performance applications. Architect and orchestrate microservices to handle high concurrency I/O requests efficiently. Deploy and manage applications on AWS, ensuring robust and scalable solutions are delivered. Implement and maintain messaging queues using Celery, RabbitMQ, or AWS SQS. Utilize WebSockets and asynchronous programming to enhance system responsiveness and performance. Collaborate with cross-functional teams to ensure seamless integration of solutions. Continuously improve system reliability, scalability, and performance through innovative design and testing. Required Skills and Qualifications: Proven experience in production deployments with user bases exceeding 10k. Expertise in Python and FastAPI, with strong knowledge of microservices architecture. Proficiency in working with queues and asynchronous programming. Hands-on experience with databases such as Postgres, MongoDB, or Databricks. Comprehensive knowledge of Kubernetes for running scalable microservices. Exceptional written and verbal communication skills. Consistent work history without overlapping roles or career gaps. Preferred Qualifications: Experience with GoLang for microservice development. Familiarity with data lake technologies such as Iceberg. Understanding of deploying APIs in Kubernetes environments. Show more Show less

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

About Company : They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society. Job Title: Python Developer Location: Pune Experience: 6+ yrs Job Type: Contract to hire(Min 1+ yr) Notice Period: Immediate joiners Mandatory Skills : Python, Fastapi, No SQL, MongoDB Job Description: Backend developer with Python skill along with no SQL (MongoDB/Document DB) Writing and maintaining efficient reusable and reliable code Good experience in working with NO SQL Strong API Design and Implementation Hands on Performance Optimization Familiar with Python Frameworks and Libraries Good hands on in Server-side Development Collaborate with front-end developers, designers, and other stakeholders Strong communication Show more Show less

Openings : 01 Experience : 2+ years Location : Surat - Varachha 5-Days Working Paid Leaves Complimentary Health Insurance Overtime Pay Fun Activities Personal Loan Employee Training Positive Work Environment Professional Developments Job Description We are looking for an experienced AI/ML cum Python Developer with 2+ years of hands-on work in machine learning, Python development, and API integration. The ideal candidate should also have experience building AI agents —smart systems that can plan tasks, make decisions, and work independently using tools like LangChain, AutoGPT, or similar frameworks. You’ll be part of a collaborative team, working on real-world AI projects and helping us build intelligent, scalable solutions. Job Responsibility Key Responsibilities: Develop, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Develop AI agents capable of decision-making and multi-step task execution Write efficient and maintainable Python code for data processing, automation, and backend services. Design and implement REST APIs or backend services for model integration. Handle preprocessing, cleaning, and transformation of large datasets. Evaluate model accuracy and performance, and make necessary optimizations. Collaborate with cross-functional teams including UI/UX, QA, and product managers. Stay updated with the latest trends and advancements in AI/ML. Key Performance Areas (KPAs) Development of AI/ML algorithms and backend services AI agent development and performance Model evaluation, testing, and optimization Seamless deployment and integration of models in production Technical documentation and project support Research and implementation of emerging AI technologies Key Performance Indicators (KPIs) Accuracy and efficiency of AI models delivered Clean, reusable, and well-documented Python code Timely delivery of assigned tasks and milestones Issue resolution and minimal bugs in production Contribution to innovation and internal R&D efforts Required Skills & Qualification Bachelor’s or Master’s degree in Computer Science, IT, or related field Minimum 2 years of experience in Python and machine learning Hands-on with AI agent tools like LangChain, AutoGPT, OpenAI APIs, Pinecone, etc. Strong foundation in algorithms, data structures, and mathematics Experience with Flask, FastAPI, or Django for API development Good understanding of model evaluation and optimization techniques Familiarity with version control tools like Git Strong communication and team collaboration skills Interview Process HR Round Technical Round Practical Round Salary Negotiation Offer Release Apply Job Show more Show less

Data Pipelines: Proven experience in building scalable and reliable data pipelines BigQuery: Expertise in writing complex SQL transformations; hands-on with indexing and performance optimization Ingestion: Skilled in data scraping and ingestion through RESTful APIs and file-based sources Orchestration: Familiarity with orchestration tools like Prefect, Apache Airflow (nice to have) Tech Stack: Proficient in Python, FastAPI, and PostgreSQL End-to-End Workflows: Capable of owning ingestion, transformation, and delivery processes Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

We are looking for a passionate Python developer to join our team at GeoTech Infoservices Pvt Ltd. You will be responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks and collaborating with other teams in the company to define, design & deliver new features. You will brainstorm and chalk out solutions to suit our requirements and meet our business goals. You will also be working on data engineering problems and building data pipelines. You would get ample opportunities to work on Challenging and innovative projects, using the latest technologies & tools. Objectives of the Role Develop, test and maintain high-quality software using Python programming language. Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. Write clean and reusable code that can be easily maintained and scaled. Role Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. Debugging codes when required and troubleshooting any Python-related queries. Keep up to date with emerging trends and technologies in Python development. Required Skills & Qualification 4+ years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Understanding of pre-trained AI model usage (specially LLMS) including tokenization, transformer architecture for carrying out specific AI tasks using Python. Understanding of Vector DBs, RAGS and embedding models. Preferred Skills & Qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure

Company Description We at Prometteur Solutions Pvt. Ltd. are a team of IT experts, who came with a promise of delivering technology-empowered business solutions. We provide world-class software and web development services that focus on playing a supportive role to your business and its holistic growth. Our highly-skilled associates and global delivery capabilities ensure the accessibility and scale to align client's technology solutions with their business needs. Our offerings span the entire IT lifecycle: from Consulting through Packaged, Custom, and Cloud Applications as well as a variety of Infrastructure Services. Job Description Key Responsibilities : Develop, maintain, and optimize server-side applications using Python and Django. Design and implement RESTful APIs to support front-end functionalities. Work with cloud platforms, specifically AWS, to manage and deploy applications. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Optimize applications for maximum speed and scalability. Develop and maintain databases and data storage solutions. Troubleshoot and debug applications to ensure high-quality and performance standards. Implement security and data protection measures. Participate in code reviews and contribute to continuous improvement initiatives. Handle both synchronous and asynchronous programming tasks to improve application performance and responsiveness. Required Skills and Experience : 5-7 years of experience in backend development using Python and Django. Hands-on experience with AWS services, including EC2, S3, RDS, Lambda, and more. Strong understanding of web technologies such as HTTP, REST, and JSON. Experience with relational databases like PostgreSQL or MySQL and familiarity with ORM (Object Relational Mapping). Proficiency in designing and developing RESTful APIs. Familiarity with version control systems like Git. Experience with Continuous Integration/Continuous Deployment (CI/CD) tools and pipelines. Knowledge of best practices for software development, including code reviews, testing, and documentation. Strong problem-solving skills and ability to work independently and in a team environment. Good knowledge of Celery for managing asynchronous tasks and background jobs. Experience with Redis for caching and message brokering. Understanding of synchronous and asynchronous programming paradigms. Preferred Qualifications : Experience with containerization and orchestration tools like Docker and Kubernetes. Familiarity with microservices architecture and serverless computing. Knowledge of other backend frameworks or languages such as Flask, FastAPI,Django Good to have : Understanding of front-end technologies (e.g., JavaScript, HTML, CSS) for better collaboration with front-end teams. Experience with Agile/Scrum methodologies. Technical Skills: Dynamodb API Gateway Secrets Manager s3 Lambda Shield ECS Amplify Cloudfront RDS OpenSearch (Elastic Search) Experience: 5+ years Show more Show less

Responsibilities: Design and Development: Develop robust, scalable, and maintainable backend services using Python frameworks like Django, Flask, and FastAPI. Cloud Infrastructure: Work with AWS services (e.g., Cloudwatch, S3, RDS, Neptune, Lambda, ECS) to deploy, manage, and optimize our cloud infrastructure. Software Architecture:? Participate in defining and implementing software architecture best practices, including design patterns, coding standards, and testing methodologies. Database Management:? Proficiently work with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., DynamoDB, Neptune) to design and optimize data models and queries.? Experience with ORM tools. Automation: Design, develop, and maintain automation scripts (primarily in Python) for various tasks, including: Data updates and processing. Scheduling cron jobs. Integrating with communication platforms like Slack and Microsoft Teams for notifications and updates. Implementing business logic through automated scripts. Monitoring and Logging: Implement and manage monitoring and logging solutions using tools like ELK stack (Elasticsearch, Logstash, Kibana) and AWS CloudWatch. Production Support:? Participate in on-call rotations and provide support for production systems, troubleshooting issues and implementing fixes.? Proactively identify and address potential production issues. Team Leadership and Mentorship: Lead and mentor junior backend developers, providing technical guidance, code reviews, and support their professional growth. Required Skills and Experience: 5+ years of experience in backend software development. Strong proficiency in Python and at least two of the following frameworks: Django, Flask, FastAPI. Hands-on experience with AWS cloud services, including ECS. Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., DynamoDB, Neptune). Strong experience with monitoring and logging tools, specifically ELK stack and AWS CloudWatch. Locations : Mumbai, Delhi NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Work Timings: 2:30PM-11:30PM(Monday-Friday)

Company Overview: We are a global empathy-led technology services company where software and people transformations go hand-in-hand.Product innovation and mature software engineering are part of our core DNA. Our mission is to help our customers accelerate their digital journeys through a global, diverse, and empathetic talent pool following outcome-driven agile execution. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.. Responsibilities: Design and Development: Develop robust, scalable, and maintainable backend services using Python frameworks like Django, Flask, and FastAPI. Cloud Infrastructure: Work with AWS services (e.g., Cloudwatch, S3, RDS, Neptune, Lambda, ECS) to deploy, manage, and optimize our cloud infrastructure. Software Architecture: Participate in defining and implementing software architecture best practices, including design patterns, coding standards, and testing methodologies. Database Management: Proficiently work with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., DynamoDB, Neptune) to design and optimize data models and queries. Experience with ORM tools. Automation: Design, develop, and maintain automation scripts (primarily in Python) for various tasks, including: Data updates and processing. Scheduling cron jobs. Integrating with communication platforms like Slack and Microsoft Teams for notifications and updates. Implementing business logic through automated scripts. Monitoring and Logging: Implement and manage monitoring and logging solutions using tools like ELK stack (Elasticsearch, Logstash, Kibana) and AWS CloudWatch. Production Support: Participate in on-call rotations and provide support for production systems, troubleshooting issues and implementing fixes. Proactively identify and address potential production issues. Team Leadership and Mentorship: Lead and mentor junior backend developers, providing technical guidance, code reviews, and support their professional growth. Required Skills and Experience: 7+ years of experience in backend development, with at least 2+ years in a leadership or senior role. Strong proficiency in Python and at least two of the following frameworks: Django, Flask, FastAPI, with good experience in Artificial Intelligence Hands-on experience with AWS cloud services, including ECS. Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., DynamoDB, Neptune). Strong experience with monitoring and logging tools, specifically ELK stack and AWS CloudWatch. Location: Remote Work Timings: 2:30PM-11:30PM(Monday-Friday) Experience: 7+Years Company Overview: We are a global empathy-led technology services company where software and people transformations go hand-in-hand.Product innovation and mature software engineering are part of our core DNA. Our mission is to help our customers accelerate their digital journeys through a global, diverse, and empathetic talent pool following outcome-driven agile execution. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.. Responsibilities: Design and Development: Develop robust, scalable, and maintainable backend services using Python frameworks like Django, Flask, and FastAPI. Cloud Infrastructure: Work with AWS services (e.g., Cloudwatch, S3, RDS, Neptune, Lambda, ECS) to deploy, manage, and optimize our cloud infrastructure. Software Architecture: Participate in defining and implementing software architecture best practices, including design patterns, coding standards, and testing methodologies. Database Management: Proficiently work with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., DynamoDB, Neptune) to design and optimize data models and queries. Experience with ORM tools. Automation: Design, develop, and maintain automation scripts (primarily in Python) for various tasks, including: Data updates and processing. Scheduling cron jobs. Integrating with communication platforms like Slack and Microsoft Teams for notifications and updates. Implementing business logic through automated scripts. Monitoring and Logging: Implement and manage monitoring and logging solutions using tools like ELK stack (Elasticsearch, Logstash, Kibana) and AWS CloudWatch. Production Support: Participate in on-call rotations and provide support for production systems, troubleshooting issues and implementing fixes. Proactively identify and address potential production issues. Team Leadership and Mentorship: Lead and mentor junior backend developers, providing technical guidance, code reviews, and support their professional growth. Required Skills and Experience: 7+ years of experience in backend development, with at least 2+ years in a leadership or senior role. Strong proficiency in Python and at least two of the following frameworks: Django, Flask, FastAPI, with good experience in Artificial Intelligence Hands-on experience with AWS cloud services, including ECS. Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., DynamoDB, Neptune). Strong experience with monitoring and logging tools, specifically ELK stack and AWS CloudWatch. Location: Remote, Hyderabad, Kolkata, Pune, Ahmendabad Work Timings: 2:30PM-11:30PM(Monday-Friday) Experience: 7+Years

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Responsibilities Design, implement, and own complex distributed features across the data and microservices ecosystem. Build scalable and resilient Spark-based data processing pipelines (batch and/or streaming). Develop and maintain microservices to support platform services and ML pipelines. Work closely with architects, product managers, and collaborators to develop technical solutions from concept to production. Optimize the performance, cost, and reliability of large-scale distributed systems. Lead code reviews, mentor junior engineers, and enforce engineering standard methodologies. Contribute to tooling and automation that support CI/CD, observability, and incident response. Requirements 6+ years of professional software engineering experience. Proven ability to lead features or systems end-to-end — from design through implementation to deployment and monitoring. Strong proficiency in Scala, Java, or Python (with Spark expertise in at least one). Deep understanding of Apache Spark internals, tuning, and optimization (structured streaming is a plus). Experience with microservices architecture and frameworks (e.g., Spring Boot, FastAPI, or similar). Solid grasp of distributed systems concepts like consistency, availability, partitioning, and fault tolerance. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and orchestration tools (Docker, Kubernetes) or equivalent experience. Familiarity with messaging/streaming platforms such as Kafka, Pulsar, or similar. Nice to Have Experience with data lake formats like Delta Lake, Iceberg, etc. Understanding of data governance, lineage, and compliance requirements. Exposure to machine learning infrastructure or MLOps pipelines. Familiarity with Generative AI efficiency tools (e.g., GitHub Copilot, ChatGPT, code generation workflows). Background or interest in machine learning models, data science workflows, or AI-powered systems. Strong system design skills and interest in technical leadership. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees. Show more Show less

Company Overview: We are a global empathy-led technology services company where software and people transformations go hand-in-hand. Product innovation and mature software engineering are part of our core DNA. Our mission is to help our customers accelerate their digital journeys through a global, diverse, and empathetic talent pool following outcome-driven agile execution. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.. Responsibilities: Design and Development: Develop robust, scalable, and maintainable backend services using Python frameworks like Django, Flask, and FastAPI. Cloud Infrastructure: Work with GCP to deploy, manage, and optimize our cloud infrastructure. Software Architecture: Participate in defining and implementing software architecture best practices, including design patterns, coding standards, and testing methodologies. Database Management: Proficiently work with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., DynamoDB, Neptune) to design and optimize data models and queries. Experience with ORM tools. Automation: Design, develop, and maintain automation scripts (primarily in Python) for various tasks, including: Data updates and processing. Scheduling cron jobs. Integrating with communication platforms like Slack and Microsoft Teams for notifications and updates. Implementing business logic through automated scripts. Monitoring and Logging: Implement and manage monitoring and logging solutions using tools like GCP. Production Support: Participate in on-call rotations and provide support for production systems, troubleshooting issues and implementing fixes.? Proactively identify and address potential production issues. Team Leadership and Mentorship: Lead and mentor junior backend developers, providing technical guidance, code reviews, and support their professional growth. Required Skills and Experience: 7+ years of experience in backend development, with at least 2+ years in a leadership or senior role. Strong proficiency in Python and at least two of the following frameworks: Django, Flask, FastAPI, with good experience in Artificial Intelligence Hands-on experience with GCP cloud. Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., DynamoDB, Neptune). Strong experience with monitoring and logging tools, specifically GCP. Location: Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad Work Timings: 2:30PM-11:30PM(Monday-Friday) Experience: 7+Years

Key Responsibilities : ● Develop, maintain, and optimize server-side applications using Python and Django. ● Design and implement RESTful APIs to support front-end functionalities. ● Work with cloud platforms, specifically AWS, to manage and deploy applications. ● Collaborate with front-end developers to integrate user-facing elements with server-side logic. ● Optimize applications for maximum speed and scalability. ● Develop and maintain databases and data storage solutions. ● Troubleshoot and debug applications to ensure high-quality and performance standards. ● Implement security and data protection measures. ● Participate in code reviews and contribute to continuous improvement initiatives. ● Handle both synchronous and asynchronous programming tasks to improve application performance and responsiveness. Required Skills and Experience : ● 5-7 years of experience in backend development using Python and Django. ● Hands-on experience with AWS services, including EC2, S3, RDS, Lambda, and more. ● Strong understanding of web technologies such as HTTP, REST, and JSON. ● Experience with relational databases like PostgreSQL or MySQL and familiarity with ORM (Object Relational Mapping). ● Proficiency in designing and developing RESTful APIs. ● Familiarity with version control systems like Git. ● Experience with Continuous Integration/Continuous Deployment (CI/CD) tools and pipelines. ● Knowledge of best practices for software development, including code reviews, testing, and documentation. ● Strong problem-solving skills and ability to work independently and in a team environment. ● Good knowledge of Celery for managing asynchronous tasks and background jobs. ● Experience with Redis for caching and message brokering. ● Understanding of synchronous and asynchronous programming paradigms. Preferred Qualifications : ● Experience with containerization and orchestration tools like Docker and Kubernetes. ● Familiarity with microservices architecture and serverless computing. ● Knowledge of other backend frameworks or languages such as Flask, FastAPI,Django ● Good to have : Understanding of front-end technologies (e.g., JavaScript, HTML, CSS) for better collaboration with front-end teams. ● Experience with Agile/Scrum methodologies. Technical Skills : 1. Dynamodb 2. API Gateway 3. Secrets Manager 4. s3 5. Lambda 6. Shield 7. ECS 8. Amplify 9. Cloudfront 10. RDS 11. OpenSearch (Elastic Search) Experience: 5+ years Show more Show less

Key Responsibilities : ● Develop, maintain, and optimize server-side applications using Python and Django. ● Design and implement RESTful APIs to support front-end functionalities. ● Work with cloud platforms, specifically AWS, to manage and deploy applications. ● Collaborate with front-end developers to integrate user-facing elements with server-side logic. ● Optimize applications for maximum speed and scalability. ● Develop and maintain databases and data storage solutions. ● Troubleshoot and debug applications to ensure high-quality and performance standards. ● Implement security and data protection measures. ● Participate in code reviews and contribute to continuous improvement initiatives. ● Handle both synchronous and asynchronous programming tasks to improve application performance and responsiveness. Required Skills and Experience : ● 5-7 years of experience in backend development using Python and Django. ● Hands-on experience with AWS services, including EC2, S3, RDS, Lambda, and more. ● Strong understanding of web technologies such as HTTP, REST, and JSON. ● Experience with relational databases like PostgreSQL or MySQL and familiarity with ORM (Object Relational Mapping). ● Proficiency in designing and developing RESTful APIs. ● Familiarity with version control systems like Git. ● Experience with Continuous Integration/Continuous Deployment (CI/CD) tools and pipelines. ● Knowledge of best practices for software development, including code reviews, testing, and documentation. ● Strong problem-solving skills and ability to work independently and in a team environment. ● Good knowledge of Celery for managing asynchronous tasks and background jobs. ● Experience with Redis for caching and message brokering. ● Understanding of synchronous and asynchronous programming paradigms. Preferred Qualifications : ● Experience with containerization and orchestration tools like Docker and Kubernetes. ● Familiarity with microservices architecture and serverless computing. ● Knowledge of other backend frameworks or languages such as Flask, FastAPI,Django ● Good to have : Understanding of front-end technologies (e.g., JavaScript, HTML, CSS) for better collaboration with front-end teams. ● Experience with Agile/Scrum methodologies. Technical Skills: 1. Dynamodb 2. API Gateway 3. Secrets Manager 4. s3 5. Lambda 6. Shield 7. ECS 8. Amplify 9. Cloudfront 10. RDS 11. OpenSearch (Elastic Search) Experience: 5+ years Show more Show less

Job description Job Title: MLOps Engineer Company: Aaizel International Technologies Pvt. Ltd. Location: Gurugram Experience Required: 6+ Years Employment Type: Full-Time About Aaizeltech Aaizeltech is a deep-tech company building AI/ML-powered platforms, scalable SaaS applications, and intelligent embedded systems. We are seeking a Senior MLOps Engineer to lead the architecture, deployment, automation, and scaling of infrastructure and ML systems across multiple product lines. Role Overview This role requires strong expertise and hands-on MLOps experience. You will architect and manage cloud infrastructure, CI/CD systems, Kubernetes clusters, and full ML pipelines—from data ingestion to deployment and drift monitoring. Key Responsibilities MLOps Responsibilities: Collaborate with data scientists to operationalize ML workflows. Build complete ML pipelines with Airflow, Kubeflow Pipelines, or Metaflow. Deploy models using KServe, Seldon Core, BentoML, TorchServe, or TF Serving. Package models into Docker containers using Flask or FastAPI or Django for APIs. Automated dataset versioning & model tracking via DVC and MLflow. Setup model registries and ensure reproducibility and audit trails. Implement model monitoring for: (i) Data drift and schema validation (using tools like Evidently AI, Alibi Detect). (ii) Performance metrics (accuracy, precision, recall). (iii) Infrastructure metrics (latency, throughput, memory usage). Implement event-driven retraining workflows triggered by drift alerts or data freshness. Schedule GPU workloads on Kubernetes and manage resource utilization for ML jobs. Design and manage secure, scalable infrastructure using AWS, GCP, or Azure. Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or AWS DevOps. Write and manage Infrastructure as Code using Terraform, Pulumi, or CloudFormation. Automated configuration management with Ansible, Chef, or SaltStack. Manage Docker containers and advanced Kubernetes resources (Helm, StatefulSets, CRDs, DaemonSets). Implement robust monitoring and alerting stacks: Prometheus, Grafana, CloudWatch, Datadog, ELK, or Loki. Must-Have Skills Advanced expertise in Linux administration, networking, and shell scripting. Strong knowledge of Docker, Kubernetes, and container security. Hands-on experience with IaC tools like Terraform and configuration management like Ansible. Proficient in cloud-native services: IAM, EC2, EKS/GKE/AKS, S3, VPCs, Load Balancing, Secrets Manager. Mastery of CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions). Familiarity with SaaS architecture, distributed systems, and multi-env deployments. Proficiency in Python for scripting and ML-related deployments. Experience integrating monitoring, alerting, and incident management workflows. Strong understanding of DevSecOps, security scans (e.g., Trivy, SonarQube, Snyk) and secrets management tools (Vault, SOPS). Experience with GPU orchestration and hybrid on-prem + cloud environments. Nice-to-Have Skills Knowledge of GitOps workflows (e.g., ArgoCD, FluxCD). Experience with Vertex AI, SageMaker Pipelines, or Triton Inference Server. Familiarity with Knative, Cloud Run, or serverless ML deployments. Exposure to cost estimation, rightsizing, and usage-based autoscaling. Understanding of ISO 27001, SOC2, or GDPR-compliant ML deployments. Knowledge of RBAC for Kubernetes and ML pipelines. Who You'll Work With AI/ML Engineers, Backend Developers, Frontend Developers, QA Team Product Owners, Project Managers, and external Government or Enterprise Clients How to Apply If you are passionate about embedded systems and excited to work on next-generation technologies, we would love to hear from you. Please send your resume and a cover letter outlining your relevant experience to hr@aaizeltech.com or bhavik@aaizeltech.com or anju@aaizeltech.com (Contact No- 7302201247) Show more Show less