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 Show more Show less

● Minimum of (4+) years of experience in AI-based application development. ● Fine-tune pre-existing models to improve performance and accuracy. ● Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI ● Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). ● Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. ● Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). ● Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. ● Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. ● Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. ● Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. ● Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. ● Proficiency in Python with the ability to get hands-on with coding at a deep level. ● Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. ● Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) ● Enthusiasm for continuous learning and professional developement in AI and leated technologies. ● Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. ● Knowledge of cloud services like AWS, Google Cloud, or Azure. ● Proficiency with version control systems, especially Git. ● Familiarity with data pre-processing techniques and pipeline development for Al model training. ● Experience with deploying models using Docker, Kubernetes ● Experience with AWS Bedrock, and Sagemaker is a plus ● Strong problem-solving skills with the ability to translate complex business problems into Al solutions. Show more Show less

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as an AI Agent Workflow Engineer and help build smart, autonomous systems using LLMs and multi-agent frameworks. You'll design intelligent task automation flows powered by tools like LangChain , AutoGen , CrewAI , and integrate them with APIs, vector databases, and real-world data sources. This is a unique opportunity to work at the forefront of autonomous AI, all while enjoying complete flexibility and remote work. Role Overview As an AI Agent Workflow Engineer, you will: Design Multi-Agent Systems: Create intelligent agents capable of collaboration, tool usage, and task delegation. Build Real-Time Workflows: Implement complex workflows where agents interact with users, APIs, and external data sources. Integrate & Deploy: Deploy agent systems into real-world products across industries like SaaS, eCommerce, operations, and content. What You’ll Do Agentic System Development: Build custom AI agents using frameworks like AutoGen, CrewAI, LangChain Agents, or similar tools. Define agent roles, behaviors, goals, and memory strategies for specific use cases (research, operations, customer support, etc.). Set up inter-agent communication, task routing, and tool execution pipelines. Integration & Deployment: Connect agent workflows with APIs, databases, or third-party services. Use vector databases (Pinecone, Weaviate, Qdrant) for retrieval-augmented generation (RAG) and persistent memory. Deploy applications via FastAPI, Flask, or serverless environments for scalable use. Technical Requirements & Skills Experience: 2+ years in AI/ML, backend development, or agent systems. Languages: Strong in Python (required); knowledge of JS/TS is a plus. Frameworks: Hands-on experience with AutoGen, LangChain Agents, CrewAI, LlamaIndex, or similar. LLM APIs: Proficient with OpenAI, Anthropic, Gemini, and open-source LLMs. Databases: Familiarity with vector databases like Pinecone, FAISS, Weaviate, or Qdrant. Bonus: Understanding of prompt engineering, chaining logic, and autonomous agent design principles. What We’re Looking For An engineer who can translate business goals into autonomous agent workflows. A systems thinker who understands orchestration, data flow, and real-time execution. A self-motivated freelancer who thrives in fast-paced environments and cutting-edge tech. Why Join Us? Immediate Impact: Work on real-world AI agent use cases driving real outcomes. Remote & Flexible: Choose your hours and engagements—hourly or project-based. Future Opportunities: BeGig keeps you matched with the latest in agent automation and GenAI engineering. Innovative Community: Join a forward-thinking network shaping the future of intelligent systems. Ready to orchestrate the future with AI agents? Apply now to become a key AI Agent Workflow Engineer for our client and a valued member of the BeGig network! Show more Show less

Job Title: Senior Python Generative AI Engineer Location: 100% Remote Duration: 6-Month Contract Experience Required: 6+ Years Required Qualifications: 6+ years of professional experience in software engineering with a strong focus on Python 2+ years of hands-on experience working with Generative AI / LLMs (Large Language Models) Deep understanding of transformer-based architectures, tokenization, embeddings, and fine-tuning techniques Experience building and deploying RAG (Retrieval-Augmented Generation) pipelines Proficient with prompt engineering, few-shot prompting, and API-based integration (OpenAI, Anthropic, etc.) Strong knowledge of LangChain, LLM orchestration tools, and vector databases like FAISS, Pinecone, or Chroma Experience deploying models using Docker, FastAPI, or serverless platforms; familiarity with Kubernetes is a plus Skilled in using Hugging Face Transformers, Diffusers, and other open-source LLM libraries Hands-on experience with cloud services (AWS/GCP/Azure) for hosting models or serverless inference Familiar with PowerShell, Bash, and infrastructure-as-code tools (Terraform, ARM, or similar) Solid understanding of CI/CD pipelines, model testing, and performance optimization techniques 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 and 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

Job Title: Machine Learning (ML) Engineer 📍 Location: Jaipur (On-site) 🕒 Experience Required: 3 to 5 Years 🚀 Availability: Immediate Joiner 💼 Employment Type: Full-time Job Summary: We are seeking an experienced and motivated Machine Learning Engineer with 4+ years of experience in designing, developing, and deploying machine learning models. The ideal candidate must be well-versed in Python, SQL/MySQL, ML libraries, and cloud deployment using Google Cloud Platform (GCP). This role is ideal for candidates passionate about solving real-world problems using AI and ML technologies. Key Responsibilities: Build, train, evaluate, and deploy scalable machine learning models. Perform data preprocessing, feature engineering, and pipeline development. Design end-to-end ML workflows from model development to deployment on GCP. Leverage GCP tools such as Vertex AI, BigQuery, Cloud Functions, AI Platform, etc. Work with SQL/MySQL databases for data extraction and manipulation. Collaborate with cross-functional teams including data engineers, software developers, and business stakeholders. Monitor and optimize deployed models for performance and accuracy. Ensure model reproducibility, versioning, and documentation. Required Skills: Strong proficiency in Python and popular ML libraries (scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, Pandas, NumPy). Experience with SQL and MySQL. Solid understanding of ML algorithms and data handling techniques. Hands-on experience with GCP services: Vertex AI BigQuery Cloud Storage AI Platform Cloud Functions Experience in model deployment using Flask, FastAPI, or similar frameworks. Proficient in data visualization using Matplotlib, Seaborn, or similar tools. Familiarity with Git, CI/CD, and Agile practices. Preferred Qualifications: GCP Certification (e.g., Professional Machine Learning Engineer or Data Engineer). Experience with ML Ops tools. Exposure to Docker and Kubernetes. Familiarity with Big Data tools like Apache Spark or Hadoop. Perks & Benefits: 5-day working week Competitive salary and performance-based incentives Learning & development opportunities Dynamic and growth-driven work environment How to Apply: Send your updated resume to shubham@vidhema.com Show more Show less

Key Responsibilities: Develop and maintain scalable, asynchronous REST and WebSocket APIs using FastAPI (or Flask/Litestar) Write clean, well-documented, and type-safe Python code with strong OOP practices and typing discipline Design and manage data models using SQLAlchemy or similar ORMs for both relational and NoSQL databases Ensure high availability, reliability, and performance of backend services Collaborate with DevOps to build, test, and deploy services via CI/CD pipelines (GitHub Actions or GitLab CI) Implement feature-branch workflows , follow conventional commits , and conduct peer code reviews Write and maintain unit, integration, and functional tests for backend services Monitor and resolve issues in production APIs and services Must-Have Skills: 5–7 years of professional backend development experience Advanced experience with Python 3.11+ , Proficient in building high-performance APIs using FastAPI (or Flask/Litestar) Solid understanding of Git , including feature-branch workflows , PR management, and version control hygiene Practical experience with CI/CD pipelines — especially GitHub Actions , Docker-based builds, and deployment automation Strong in SQL and hands-on experience with at least one relational database (PostgreSQL, MySQL) Familiarity with NoSQL stores (MongoDB, Redis, etc.) Experience with SQLAlchemy , SQLModel , or equivalent ORMs in asynchronous setups Show more Show less

Job Title: Python Developer Location: Hyderabad ( On-Site ) Job Type: Full-Time Experience : 4 to 5 Years Notice Period : Immediate to 15 Days Job Description: Job Summary: We are seeking a skilled and motivated Python Developer with hands-on experience in building APIs using FastAPI and Flask . The ideal candidate should be proficient in Python programming and have a strong grasp of data manipulation and analysis using NumPy and Pandas . You will be responsible for developing scalable backend services, integrating APIs, and working closely with data engineering and frontend teams to deliver robust software solutions. Key Responsibilities: Design, develop, and maintain using FastAPI and Flask . Write clean, reusable, and efficient code in Python . Work with large datasets using NumPy and Pandas for data transformation and analysis. Collaborate with cross-functional teams to gather requirements and implement backend services. Optimize applications for performance, scalability, and reliability. Implement security and data protection protocols in API services. Write unit and integration tests to ensure code quality. Maintain documentation for code, APIs, and system architecture. Required Skills & Qualifications: Strong programming skills in Python . Proficiency in developing APIs using FastAPI and/or Flask . Experience with data manipulation libraries like NumPy and Pandas . Familiarity with REST principles and asynchronous programming. Experience with version control tools like Git. Understanding of CI/CD pipelines and containerization (e.g., Docker) is a plus. Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. Job Type: Full-time Pay: ₹10,764.55 - ₹65,865.68 per month Benefits: Flexible schedule Health insurance Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: Python developer: 6 years (Required) Coding: 6 years (Required) Pandas: 5 years (Required) NumPy: 5 years (Required) Fast API: 5 years (Required) Flask API: 5 years (Required)

Hiring for AWS Data Engineer with Fast API Immediate Joiners Pune and Chennai location 7-10 years experience Share profiles to neha.sandurea@godoublu.com We are seeking a skilled and motivated AWS Data Engineer with expertise in FastAPI, Pub/Sub messaging systems, and Apache Airflow to build and maintain scalable, cloud-native applications on AWS. The ideal candidate has strong experience in modern Python development and is having strong hands-on experience with event-driven architectures and data workflow orchestration in AWS cloud environments. Required Qualifications: Bachelor’s degree in computer science, data science, or a related technical discipline. 7+ years of hands-on experience in data engineering, include developing ETL/ElT data pipeline, API Integration (Fast API Preferred), data platform/products and or data warehouse. 3+ years of hands-on experience in developing data-intensive solutions on AWS for operational and analytics workloads. 3+ years of experience in designing both ETL/ELT for batch processing and data streaming architectures for real-time or near real-time data ingestion and processing. 3+ years of experience in develop and orchestrate complex data workflows suing Apache Airflow (Mandatory), including DAG Authoring, scheduling, and monitoring. 2+ years of experience in building and managing event-driven microservices using Pub Sub systems (e.g. AWS SNS/SQL , Kafka) 3+ years of hands-on experience in two or more database technologies (e.g., MySQL, PostgreSQL, MongoDB) and data warehouses (e.g., Redshift, BigQuery, or Snowflake), as well as cloud-based data engineering technologies. Proficient in Dashboard/BI and Data visualization tools (eg. Tableau, Quicksight) Develop conceptual, logical, and physical data models using ERDs. Thrives in dynamic, cross-functional team environments. Possesses a team-first mindset, valuing diverse perspectives and contributing to a collaborative work culture. Approaches challenges with a positive and can-do attitude. Willing to challenge the status quo, demonstrating ability to understand when and how to take appropriate risks to drive performance. A passionate problem solver. High learning agility Show more Show less

Job Information Date Opened 06/05/2025 Job Type Full time Industry IT Services Work Experience 5+ years City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600096 Job Description Job Description: We are seeking a highly motivated and skilled Python Backend Developer to join our dynamic engineering team. You will play a crucial role in designing, developing, and maintaining robust and scalable backend systems and APIs that power our innovative products and services. The ideal candidate is a strong programmer with a solid understanding of Python and experience with popular backend frameworks. Familiarity with the Google Cloud Platform (GCP) landscape will be considered a significant advantage. If you are passionate about building efficient and reliable APIs and enjoy working in a collaborative environment, we encourage you to apply. Responsibilities: Design, develop, and implement efficient and scalable backend APIs and services using Python and frameworks such as Flask, FastAPI, or Django. Write clean, well-documented, and testable code following best practices and coding standards. Collaborate closely with frontend developers, product managers, and other stakeholders to understand requirements and deliver high-quality solutions. Integrate our applications with third-party services and APIs. Troubleshoot, debug, and resolve production issues effectively. Participate in code reviews to ensure code quality and knowledge sharing within the team. Contribute to the continuous improvement of our development processes and tools. Optimize applications for performance and scalability. Deploy and maintain applications on cloud platforms, with a preference for experience on Google Cloud Platform (GCP). Stay up-to-date with the latest technology trends and advancements in backend development and cloud technologies. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Proven experience as a Backend Developer with a strong proficiency in Python. Hands-on experience with at least one of the following Python backend frameworks: Flask, FastAPI, or Django. Solid understanding of RESTful API design principles and development. Experience with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB). Strong problem-solving and analytical skills with a keen attention to detail. Excellent communication and collaboration skills. Experience with version control systems, preferably Git. Familiarity with testing frameworks and writing unit, integration, and end-to-end tests. Bonus Points (Added Advantage): Experience with Google Cloud Platform (GCP) services such as Compute Engine, App Engine, Cloud Functions, Cloud Storage, Cloud SQL, BigQuery, etc. Experience with containerization technologies like Docker and orchestration tools like Kubernetes. Familiarity with CI/CD pipelines. Knowledge of message queues (e.g., RabbitMQ, Kafka). Experience with security best practices in web development.

Company Description NodeStar is a pioneering AI technology company that specializes in developing cutting-edge conversational AI applications. Our diverse team comprises visionary tech founders, seasoned executives, AI PhDs, and product pioneers who have forged a new path in AI innovation. We create integrated solutions that propel our partners to new heights by infusing conversational interfaces with game mechanics for interactive experiences across multiple platforms. Role Description This is a full-time role for a Senior/Staff Python Backend Developer at NodeStar. As a senior technical leader, you will architect and build scalable backend systems that power our AI-driven applications. You will lead complex technical initiatives, mentor engineering teams, and drive architectural decisions that shape our platform's future. This role requires deep expertise in Python, distributed systems, and cloud infrastructure, combined with the ability to translate business requirements into robust technical solutions that scale to millions of users. Core Responsibilities Architect and design large-scale distributed systems and microservices architecture Lead technical initiatives across multiple teams and drive engineering excellence Define technical roadmaps and architectural standards for backend systems Mentor and guide junior and mid-level developers, fostering their professional growth Own end-to-end delivery of complex features from design to production deployment Drive technical decision-making and evaluate new technologies for adoption Collaborate with product, AI/ML teams, and stakeholders to align technical solutions with business goals Establish best practices for code quality, testing, deployment, and monitoring Lead performance optimization initiatives and ensure system reliability at scale Participate in on-call rotations and incident response for critical systems Qualifications Bachelor's degree in Computer Science or related field (Master's preferred) 5+ years of professional backend development experience, with 2+ years in senior/lead roles Expert-level proficiency in Python and deep understanding of its internals Extensive experience with FastAPI, Django, and async Python frameworks Proven track record of designing and implementing distributed systems at scale Strong expertise in database design, optimization, and management (PostgreSQL, Redis) Deep knowledge of AWS services (EKS, RDS, Lambda, SQS, etc.) and cloud architecture patterns Experience with microservices, event-driven architecture, and message queuing systems Expertise in API design, GraphQL, and RESTful services Strong understanding of software security best practices and compliance requirements Excellent communication skills and ability to influence technical decisions Preferred Qualifications Experience building AI/ML-powered applications and working with LLMs Expertise with container orchestration (Kubernetes) and infrastructure as code (Terraform) Experience with streaming data platforms and real-time processing Knowledge of LangChain, LangGraph, and modern AI application frameworks Experience with vector and graph databases in production environments Track record of leading successful migrations or major architectural changes Published articles, conference talks, or open-source contributions Experience in high-growth startups or AI-focused companies Technical Stack Languages: Python 3.x (expert level), with knowledge of Go or Rust a plus Frameworks: FastAPI, LangGraph, Django REST framework, Celery AI/ML: LangChain, Pydantic, experience with LLM integration Databases: PostgreSQL, Redis, Chroma, Neo4j, experience with sharding and replication Infrastructure: AWS (extensive), Docker, Kubernetes, Terraform Monitoring: DataDog, Prometheus, ELK stack or similar Architecture: Microservices, event-driven systems, CQRS, domain-driven design What We Offer Competitive salary Professional development opportunities Flexible work arrangements Collaborative and innovative work environment Paid time off and holidays Potential for equity We value skill and experience over tenure. If you have less than 5 years of experience but are passionate about backend development and have a proven track record of success, we encourage you to apply and be part of our innovative and dynamic team at NodeStar! Show more Show less

Join the Future of Supply Chain Intelligence — Powered by Agentic AI At Resilinc, we’re not just solving supply chain problems — we’re pioneering the intelligent, autonomous systems that will define its future. Our cutting-edge Agentic AI enables global enterprises to predict disruptions, assess impact instantly, and take real-time action — before operations are even touched. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Supply Chain Risk Management, we are trusted by marquee clients across life sciences, aerospace, high tech, and automotive to protect what matters most — from factory floors to patient care. Our advantage isn’t just technology — it’s the largest supplier-validated data lake in the industry, built over 15 years and constantly enriched by our global intelligence network. It’s how we deliver multi-tier visibility, real-time risk assessment, and adaptive compliance at scale. But the real power behind Resilinc? Our people. We’re a fully remote, mission-driven global team, united by one goal: ensuring vital products reach the people who need them — when and where they need them. Whether it’s helping ensure cancer treatments arrive on time or flagging geopolitical risks before they disrupt critical supply lines, you’ll see your impact every day. If you're passionate about building technology that matters, driven by purpose, and being an agent of change who is ready to shape the next era of self-healing supply chains, we’d love to meet you. Resilinc | Innovation with Purpose. Intelligence with Impact. About The Role At Resilinc, we’re not just building software — we’re building the future. Our AI-powered supply chain intelligence platform is revolutionizing the industry with advanced machine learning, real-time analytics, and bleeding-edge architecture. We’re looking for bold, innovative thinkers who thrive in dynamic environments. If you're a fullstack engineer who obsesses over performance, clean code, and scalable design — let's talk. What You Will Do Design, architect, and develop scalable end-to-end features using Java (Spring Boot), Python (FastAPI, ML integration), and Angular Collaborate closely with product, data science, and design teams to deliver intuitive, intelligent user experiences Own and drive technical decisions — from API design to deployment strategies — with an eye on performance, reliability, and security Lead code reviews, set engineering best practices, and establish a high-quality engineering culture Work with DevOps to improve CI/CD pipelines, cloud deployments Azure, and system observability Influence product roadmap by bringing deep technical insights to planning conversations What You Will Bring 8+ years of Full-Stack engineering experience; 3+ years in a senior-developer role Using AI tools like Cursor, Devin or Co-pilot to deliver efficiency Java (Spring Boot, REST APIs, backend architecture) Python (especially for microservices, API layers, or ML integration) Angular (RxJS, Material, state management) Solid understanding of cloud-native architecture (Azure) Experience working in high-growth, agile environments with fast iteration cycles Ability to balance tech leadership and hands-on coding Bachelor’s degree or higher from IIT or other top- ranked schools What Will Make You Stand Out Experience working with AI/ML pipelines, data engineering, or MLOps Why You Will Love It Here 🧪 Engineer Quality at Scale – Build robust Playwright-powered automation frameworks that drive fast, reliable delivery of AI-powered products 🚀 Impactful Testing – Validate mission-critical SaaS systems used by global leaders in life sciences, aerospace, and beyond 🔁 Own the Pipeline – Integrate automated testing into CI/CD workflows and lead quality from code to deployment 🤖 Automation-First Culture – Thrive in an AI- and automation-obsessed environment where smart tools and innovation are embraced daily What's in it for you? At Resilinc, we’re fully remote, with plenty of opportunities to connect in person. We provide a culture where ownership, purpose, technical growth and a voice in shaping impactful technology are at our core. Oh, and the perks? Full-stack benefits to keep you thriving. Hit up your talent acquisition contact for a location-specific FAQ. Curious to know more about us? Dive in at www.resilinc.ai If you are a person with a disability needing assistance with the application process please contact HR@resilinc.com. 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 Skills and Experience : 5 to 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 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 Skills : Dynamodb. API Gateway. Secrets Manager. s3. Lambda. Shield. ECS. Amplify. Cloudfront. RDS. OpenSearch (Elastic : 5+ years. (ref:hirist.tech) Show more Show less

Job Position : Python Developer - Kafka Experience : 7+ Yrs Location : Anywhere India NP : Immediate - 30 days Skills : Python, Fast API, LLM, Sql, Kafka, Mongo DB Location : Bangalore/Any UST Job Description We are seeking an experienced Python Developer with a strong background in web development and GenAI technologies. The ideal candidate will have a minimum of five years of experience in Python development, including working with frameworks like Flask or FastAPI, and integrating AI-driven features into : Design, develop, and maintain scalable web applications using Python and frameworks such as Flask or FastAPI, with a focus on AI-powered e-commerce solutions. Develop and deploy RESTful APIs to integrate GenAI models into the e-commerce platform. Implement and optimize GenAI models and frameworks to enhance application functionality and performance. Identify, troubleshoot, and resolve technical issues to ensure seamless application performance. Collaborate with cross-functional teams (engineering, product, design) to define, develop, and ship new features. Requirements 5+ years of hands-on experience in Python development, with expertise in Flask or FastAPI. Proven experience with Large Language Models (LLMs) and Natural Language Processing (NLP) libraries. Strong working knowledge of web frameworks like Flask/FastAPI and their integration with AI technologies. Practical experience with vector databases and Retrieval-Augmented Generation (RAG) frameworks. Proficiency in working with SQL/NoSQL databases and caching mechanisms. In-depth understanding of API security principles and microservices architecture. Experience with cloud platforms (AWS preferred) and CI/CD pipelines (e.g., GitHub Actions, Jenkins). Familiarity with version control systems, particularly Git. Strong problem-solving abilities, with the capacity to work independently and collaboratively. Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders. (ref:hirist.tech) Show more Show less

Key Responsibilities Design, build, and maintain efficient, reusable, and reliable Python code Develop RESTful APIs and backend systems using frameworks such as Django, Flask, or FastAPI Integrate with databases (SQL and NoSQL), third-party APIs, and cloud services Ensure the performance, quality, and responsiveness of backend services Write unit and integration tests and participate in code reviews Collaborate with DevOps to ensure CI/CD pipelines and deployment processes are streamlined Optimize applications for maximum speed and scalability Troubleshoot and debug applications Requirements Bachelor's degree in computer science, engineering, or a related field Familiarity with testing tools like PyTest and unittest Understanding of Agile methodologies and DevOps practices Knowledge of front-end technologies (HTML, CSS, JavaScript) Proven experience as a backend developer using Python Proficiency with one or more Python web frameworks like Django, Flask, or FastAPI Solid understanding of RESTful API design and microservices architecture Strong experience with relational databases like PostgreSQL or MySQL and/or NoSQL databases like MongoDB or Redis Familiarity with version control tools like Git Experience with containerization tools like Docker and orchestration using Kubernetes Good understanding of cloud platforms like AWS, GCP, or Azure Ability to write clean, scalable, and well-documented code About Company: Softsensor.ai is a USA and India-based corporation focused on delivering outcomes to clients using data. Our expertise lies in a collection of people, methods, and accelerators to rapidly deploy solutions for our clients. Our principals have significant experience with leading global consulting firms & corporations and delivering large-scale solutions. We are focused on data science and analytics for improving the process and organizational performance. We are working on cutting-edge data science technologies like NLP, CNN, and RNN and applying them in the business context. Show more Show less

Position Overview Job Title: Senior Python Engineer – (Credit Risk Technology) Corporate Title: Assistant Vice President Location: Pune, India Role Description We are looking for an experienced Senior Python Engineer to lead the development of robust, scalable, and high-performance software solutions. The ideal candidate will have extensive experience in Python programming, system design, and mentoring junior developers. You will play a key role in designing and implementing complex systems, ensuring code quality, and driving technical excellence within the team. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Develop, test, and maintain Python-based applications and services. Write clean, efficient, and reusable code following best practices. Collaborate with product managers, designers, and other engineers to implement new features. Optimize application performance and scalability. Debug and resolve software defects and issues. Integrate third-party APIs and libraries as needed. Participate in code reviews to ensure code quality and consistency. Stay updated with the latest trends and advancements in Python and related technologies. Your Skills And Experience 5+ years of professional experience in Python development. Strong expertise in Python frameworks (e.g., Django, Flask, FastAPI). Experience with system design, architecture, and scalable application development. Proficiency in working with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB). Solid understanding of RESTful APIs, microservices, and distributed systems. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes). Familiarity with CI/CD pipelines and DevOps practices. Strong problem-solving skills and attention to detail. Excellent communication and leadership abilities. Preferred Qualifications: Experience with big data processing tools (e.g., Apache Spark, Dask). Knowledge of asynchronous programming and event-driven architectures. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus. Bachelor's or master’s degree in computer science, Engineering, or a related field. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

About us We’re Genovation, a deeptech startup focused on solving real-world problems using intelligent AI agents. Our systems don’t just automate, they understand, adapt, and act across complex workflows. We don’t build fluff. Every deployment starts with a pain point, and everything we design is driven by clarity, care, and purpose. The role We’re hiring a Python Developer with at least 3 years of professional experience who can communicate clearly, think in systems, and solve problems with structure and ownership. You won’t just be writing code, you’ll work alongside product owners to break down real-world challenges into clean, modular Python solutions. You’ll be expected to think critically, contribute actively, and see things through to delivery. What you'll be doing Translate problem statements into structured, maintainable Python code Build internal modules, APIs, and backend components for intelligent workflows Integrate third-party services and REST APIs Collaborate with the team to test, debug, and optimize deployments Write clear documentation for the tools you build Communicate updates, blockers, and feedback in a clear, async-first style What we're looking for 3+ years of hands-on Python development experience Proficiency in API integrations and modular code design Experience with frameworks like FastAPI, Flask, or Django Strong logical thinking and a sharp eye for problem-solving Excellent written and verbal communication skills Bonus: Familiarity with LLMs, AI workflows, or a willingness to learn fast Based in or willing to relocate to Kolkata and work onsite You'll thrive here if You like clarity, ownership, and purpose-driven work You’re as comfortable talking through a problem as you are writing code for it You’re proactive, responsible, and don’t need hand-holding You’re curious about AI and want to contribute to systems that matter You'll probably not be a fit if You’ve never worked in a professional engineering environment You avoid discussions around the “why” of a problem You need rigid specs and handoffs to work effectively You’re not comfortable taking initiative or writing documentation Compensation & Workstyle Salary: ₹3,60,000 – ₹4,80,000 per year (based on experience and fit) Bonuses: Outcome-based performance bonuses Workstyle: Onsite in Kolkata, async-first and ownership-driven Team Culture: No micromanagement. Just trust, clarity, and accountability. Whether or not you’ve applied via LinkedIn, we’ll only consider candidates who complete this short form so we can get to know you better: Please fill it out here: https://forms.gle/mjtyfBxXSV4yeghJ8 Applications without the form will not be processed. Show more Show less

Looking for people with hunger, desire to learn and solve problems for the real world with dedication and commitment like the Hacker mindset. Skills: Flutter + Python + FastAPI GCP (preferred) or AWS Should be conversant in Gen AI coding tools.

Role Overview: Kunato.Ai seeks a skilled Python Developer to drive the backend architecture of our platform. This role involves building and maintaining high-performance server-side applications, integrating with the frontend components, and deploying scalable solutions using containerization and orchestration tools. Responsibilities: Develop and maintain server-side code in Python following SOLID design principles Design, build, and optimize low-latency, scalable applications. Integrate user-facing elements developed by front-end developers with server-side logic via RESTful APIs. Maintain ETL and Data pipelines Implement secure data handling, storage, and processing protocols. Manage authentication and authorization protocols across systems and environments. Ensure security and data protection measures. Setup efficient deployment practices with Docker and Kubernetes Leverage caching solutions for enhanced performance and scalability. Skills and Qualifications: Technical Proficiency: Strong experience in Python, with proficiency in at least one Python web framework (e.g., FastAPI, Flask) Familiarity with ORM libraries and the ability to integrate multiple data sources and databases. Experience: Minimum 1.5 years of professional experience with Python in backend development roles. Programming Practices: Knowledge of asynchronous programming in Python. Experience with event-driven architecture and messaging tools (e.g., Apache Kafka, RabbitMQ). Experience with NoSQL databases (e.g., Mongo, Cassandra, etc). Experience with Vector databases (e.g., Elastic search or Qdrant or OpenSearch). Exposure to Docker for application containerization and Kubernetes for deployment and orchestration. Testing and Debugging: Strong unit testing and debugging skills to ensure code quality. Ability to setup and utilize Monitoring and Logging frameworks effectively (ELK, Prometheus, Grafana etc) Performance Optimization: Experience with caching tools such as Redis for optimized application performance and scalability. Experience working with SQL and common NoSQL databases (MongoDB, Elasticsearch) Show more Show less

Location: Solan, Himachal Pradesh Type: Full-Time Experience: 0–2 Years Tech Stack: Python, Django, DRF, FastAPI, SQL/NoSQL, AI Tools --- About Us We are a growing tech-driven company working on innovative web platforms and automation systems. We're looking for passionate Python developers ready to learn, grow, and build real-world applications with us. --- Responsibilities - Develop and maintain backend services using **Python, Django, DRF, and FastAPI. - Integrate APIs, work with **relational (PostgreSQL/MySQL)* and *non-relational (MongoDB)* databases.* - Write clean, efficient, and scalable code with proper testing. - Collaborate with front-end developers and product managers to ship features. - Learn and contribute to projects involving **AI tools, automation scripts, and **third-party APIs. - Participate in code reviews and improve application performance. --- Good to Have (Not Mandatory) - Projects or internships using Django/FastAPI. - Interest in automation or building AI-based features. Job Types: Full-time, Permanent, Fresher Pay: ₹8,000.00 - ₹20,000.00 per month Work Location: In person

AI/ML Development: 1. Model Development and Training: - Design, develop, and train machine learning models and algorithms to solve specific business problems. - Implement various machine learning techniques including supervised, unsupervised, and reinforcement learning. 2. Data Preprocessing and Analysis: - Perform data cleaning, transformation, and preprocessing to prepare data for model training. - Analyze and interpret complex data sets to identify patterns and trends. - NLP, nltk and NER are preferred. 3. Model Evaluation and Optimization: - Evaluate model performance using appropriate metrics and fine-tune models to improve accuracy and efficiency. - Implement model optimization techniques such as hyperparameter tuning and feature engineering. 4. Deployment and Maintenance: - Deploy machine learning models into production environments ensuring scalability and reliability. - Monitor and maintain models to ensure they continue to perform well over time. Python Development: Software Development: - Write clean, maintainable, and efficient Python code. - Develop and maintain Python-based applications, APIs(Flask and Fast API preferred) , and microservices. Code Review and Mentorship: - Conduct code reviews to ensure adherence to best practices and coding standards. - Mentor junior developers and provide guidance on best practices and development techniques. Integration and Testing: - Integrate machine learning models with existing systems and applications. - Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality. Automation and Scripting: - Automate repetitive tasks and workflows using Python scripts. - Develop and maintain automation tools and frameworks. Collaboration and Communication: - Collaborate with data scientists, data engineers, product managers, and other stakeholders to understand requirements and deliver solutions. - Participate in design and architecture discussions to shape the direction of projects. Documentation and Reporting: - Document code, processes, and methodologies to ensure knowledge sharing and maintainability. - Communicate findings, progress, and results to stakeholders through reports and presentations. Continuous Learning and Improvement: 1. Stay Updated with Industry Trends: - Keep up-to-date with the latest developments in AI/ML and Python technologies. - Experiment with new tools, libraries, and frameworks to improve existing solutions and processes. Problem Solving and Innovation: 1. Innovative Solutions: - Identify opportunities to apply AI/ML techniques to solve new and existing problems. - Propose and implement innovative solutions to improve business processes and outcomes. 2. Technical Challenges: - Tackle complex technical challenges and provide effective solutions. - Troubleshoot and resolve issues related to machine learning models and Python applications. Mandatory Skills: Strong proficiency in Python and its libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). NLP, nltk and NER hand on knowledge is required. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of software development principles, design patterns, and best practices. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work independently and as part of a team. Continuous learning mindset and adaptability to new technologies.

Job Description: Technical Project Manager / Delivery Lead Location: Pune Experience Required: 5+ years Employment Type: Full-Time Education: BTech / MTech / MSc in Computer Science, Engineering, or a related field About Anervea.ai Anervea.ai is an AI-native pharma intelligence company building products that drive high-impact decisions for global pharmaceutical teams. Our platform powers competitive intelligence, clinical trial prediction, AI-powered field enablement, and digital HCP engagement—used by commercial, clinical, and medical affairs teams across the US and EU. We are building fast, solving real-world problems, and scaling globally with a lean, deeply technical team. We’re looking for a Delivery Lead who can operate at the intersection of engineering, product, and execution —with a solid understanding of system design and the ability to guide technical choices. Role Overview As the Technical Project Manager / Delivery Lead , you’ll take full ownership of engineering execution across our product pods and client deliverables. You’ll lead sprints, manage cross-functional collaboration, and most importantly, act as the technical system architect for early-stage product decisions and delivery success. You’ll be the bridge between ideas and execution—balancing sprint velocity, product quality, and platform scalability. Key Responsibilities Own project planning, sprint execution, and backlog prioritization across 4–5 product pods Lead daily standups, retrospectives, and sprint reviews for engineering + AI teams Translate product and business requirements into structured technical tasks Review architecture plans and ensure systems are modular, scalable, and maintainable Collaborate with the Head of Engineering to validate system design decisions Troubleshoot project delays or bottlenecks and realign sprint workflows Maintain Jira/ClickUp/Notion boards with task breakdowns, dependencies, and blockers Interface with commercial and product leadership to align delivery timelines with client expectations Ensure code quality, documentation, and deployment discipline across pods Create visibility through weekly status reports, burn-down charts, and roadmap alignment Technical Skills & System Design Experience Strong foundation in system design and understanding of scalable backend architectures Familiarity with microservices , API-first architectures, and LLM/AI pipelines Experience with CI/CD, cloud deployment workflows (preferably AWS), and Dockerized environments Ability to review and guide architecture decisions made by backend and AI teams Experience managing teams working with: Python (FastAPI/Flask) React/Next.js ML models, LLM agents, vector databases (Pinecone/FAISS) Redis, PostgreSQL, MongoDB Bonus: Past hands-on coding or architectural design in an AI/ML or SaaS environment Personal Attributes Strong systems thinker with architectural intuition High accountability—you take ownership of outcomes, not just task tracking Proactive communicator with strong cross-functional coordination skills Structured, process-driven, but adaptive when required Calm under pressure and solutions-oriented in dynamic environments Able to influence engineers and product teams through clarity and logic—not hierarchy Comfortable managing complexity across multiple teams and clients simultaneously Why This Role Matters You’ll drive the execution engine behind some of the most innovative AI products in life sciences today. From clinical trial prediction tools to autonomous HCP research agents, our work is only as good as its delivery—and that’s your domain. This role is ideal for someone who wants to move beyond conventional project management into a more technical, architecture-aware delivery leadership role . Show more Show less

Lead Full Stack Engineer (AI Products) - Hyderabad | Join in 2 Weeks Location : near Hitech City Metro station, 100 meters away from Rameshwaram Cafe. Transform customer needs into cutting-edge AI-enabled products. Lead our full-stack team in Hyderabad (office near Metro) and make an immediate impact. We're seeking an experienced (5-7 years) lead full-stack engineer skilled in React, Node.js, and Docker to develop scalable solutions. This is a customer-facing role requiring strong presentation skills and the ability to translate client requirements into innovative AI-driven applications. What You'll Do: Lead & Learn : Guide a full-stack development team, fostering best practices. Develop AI-enabled products & services: Architect and build AI-centric applications using React, Node.js, & FastAPI. Dockerize and scale. Customer Engagement: Work directly with customers to understand needs and present solutions. Build Scalable Systems: Design and implement robust, Dockerized applications. Technical Presentation: Clearly articulate technical concepts and product capabilities to clients. Key Requirements: 5-7 years in full-stack development (React, Node.js, Fast API, Docker , Kubernetes, and cloud services (Azure/AWS/GCP)). Proven experience leading development efforts/teams . Strong proficiency with Docker and building scalable solutions . Experience with AI-enabled product development or integration. Excellent customer-facing and presentation skills . Ability to join within 2 weeks in Hyderabad. Degree in CS/Engineering or related field. Why Us? Directly influence AI product strategy and development. Lead a talented team in a fast-paced environment. Solve real-world customer problems with innovative technology. Ready to lead and innovate? Apply Now! Show more Show less

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We are seeking a talented Engineering Manager with ML Ops expertise to lead a team of engineers in developing product that help Retailers transform their Retail Media business in a way that helps them achieve maximum ad revenue and enable massive scale. As an Engineering Manager, you will play a pivotal role in designing and delivering high-quality software solutions. You will be responsible for leading a team, mentoring engineers, contributing to system architecture, and ensuring adherence to engineering best practices. Your technical expertise, leadership skills, and ability to drive results will be key to the success of our products. What you will be doing? You will lead the charge in ensuring operational efficiency and delivering high-value solutions . You’ll mentor and develop a high-performing team of Big Data and MLOps engineers, driving best practices in software development, data management, and model deployment. With a focus on robust technical design, you’ll ensure solutions are secure, scalable, and efficient. Your role will involve hands-on development to tackle complex challenges, collaborating across teams to define requirements, and delivering innovative solutions. You’ll keep stakeholders and senior management informed on progress, risks, and opportunities while staying ahead of advancements in AI/ML technologies and driving their application. With an agile mindset, you will overcome challenges and deliver impactful solutions that make a difference. Technical Expertise Proven experience in microservices architecture, with hands-on knowledge of Docker and Kubernetes for orchestration. Proficiency in ML Ops and Machine Learning workflows using tools like Spark. Strong command of SQL and PySpark programming. Expertise in Big Data solutions such as Spark and Hive, with advanced Spark optimizations and tuning skills. Hands-on experience with Big Data orchestrators like Airflow. Proficiency in Python programming, particularly with frameworks like FastAPI or equivalent API development tools. Experience in unit testing, code quality assurance, and the use of Git or other version control systems. Cloud And Infrastructure Practical knowledge of cloud-based data stores, such as Redshift and BigQuery (preferred). Experience in cloud solution architecture, especially with GCP and Azure. Familiarity with GitLab CI/CD pipelines is a bonus. Monitoring And Scalability Solid understanding of logging, monitoring, and alerting systems for production-level big data pipelines. Prior experience with scalable architectures and distributed processing frameworks. Soft Skills And Additional Plus Points A collaborative approach to working within cross-functional teams. Ability to troubleshoot complex systems and provide innovative solutions. Familiarity with GitLab for CI/CD and infrastructure automation tools is an added advantage. What You Can Expect From Us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact stephanie.winson@dunnhumby.com to discuss how we can meet your needs. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) Show more Show less

Job Title: Senior Data Scientist (ML/Deep Learning) Location: Gurgaon Employment Type: Full-time Department: Data Science / A3 Job Description: We are seeking a highly motivated Data Scientist with 3-5 years of experience in developing and deploying AI, deep learning and machine learning models. You will support the team in building predictive models, deploying them via APIs, and applying modern AI techniques like Transformers and LLMs. Exposure to MLOps, Git, and cloud platforms is a plus. This role offers hands-on learning in a fast-paced, real-world environment. Key Responsibilities: Experience of deploying at least 1 AI/Ml project into production. Experience with Generative AI concepts and tools, including transformer-based models (e.g., LLaMA, GPT) and frameworks like LangChain and LangGraph. Strong grasp of core machine learning algorithms, including statistical analysis, linear/logistic regression, tree-based models (e.g., Random Forest, XGBoost), and unsupervised learning techniques such as clustering Knowledge of implementing deep learning models such as CNNs, RNNs, and Transformers using PyTorch or TensorFlow for NLP and computer vision tasks. Skilled in developing and deploying scalable AI solutions using FastAPI and Docker, leveraging Generative AI for real-time insights and data processing. Basic understanding of cloud platforms such as AWS and GCP for hosting and scaling machine learning models. Proficient in Python and data libraries like Pandas and NumPy, with working knowledge of SQL for data extraction and preprocessing. Familiarity with MLOps fundamentals is a plus. Required Qualifications: Bachelor’s or Master's Degree in a quantitative field (Computer Science, Statistics, Economics, Mathematics, Operations Research, Analytics, or a related quantitative field) 3-5 years of practical experience working on end-to-end machine learning and deep learning projects, including model development, evaluation, and deployment. Show more Show less