11318 Ml Jobs - Page 27

SDET Engineer – Backend and Data-Driven Applications Location: Bangalore About US FICO, originally known as Fair Isaac Corporation, is a leading analytics and decision management company that empowers businesses and individuals around the world with data-driven insights. Known for pioneering the FICO® Score, a standard in consumer credit risk assessment, FICO combines advanced analytics, machine learning, and sophisticated algorithms to drive smarter, faster decisions across industries. From financial services to retail, insurance, and healthcare, FICO's innovative solutions help organizations make precise decisions, reduce risk, and enhance customer experiences. With a strong commitment to ethical use of AI and data, FICO is dedicated to improving financial access and inclusivity, fostering trust, and driving growth for a digitally evolving world. The Opportunity “As an SDET engineer on our Generative AI team, you will work at the frontier of language model applications, developing novel solutions for various areas of the FICO platform to include fraud investigation, decision automation, process flow automation, and optimization. We seek a highly skilled engineer with a strong foundation in digital product development, a zeal for innovation and responsible for deploying product updates, identifying production issues and implementing integrations. The SDET should thrive in agile, fast-paced environments, champion test automation and CI/CD quality gates, and consistently deliver robust, customer-centric validation for data-driven and backend systems. You will have the opportunity to make a meaningful impact on FICO’s platform by infusing it with next-generation AI capabilities. You’ll work with a team, leveraging skills to build solutions and drive innovation forward.”. What You’ll Contribute Design and implement robust test plans and strategies to validate APIs, backend services, and data-intensive workflows across ML and GenAI product stacks. Perform hands-on testing (manual and automated) across functional, regression, usability, and performance layers — including both black-box and grey-box testing techniques. Build and maintain automation frameworks for both API and UI layers, enabling continuous and reliable validation across environments. Collaborate closely with Data Engineers, Backend Engineers, and MLOps teams to test ETL pipelines, data transformations, and model deployment workflows. Write and execute automated tests using tools such as Selenium, RestAssured, Pytest, or Postman to validate both synchronous and asynchronous system behaviors. Execute complex SQL queries and data validations across RDBMS and NoSQL stores to ensure data accuracy and integrity in production-like environments. Integrate tests with CI/CD pipelines (e.g., GitHub Actions, Jenkins, Argo Workflows), and enable shift-left testing practices as part of the engineering workflow. Evaluate test results, identify root causes, and log issues in defect tracking tools such as JIRA; drive continuous quality improvements and regression stability. Partner with QA leadership and development teams to assess test coverage, identify quality gaps, and champion testability and observability as core design principles. Participate in release planning, sprint ceremonies, and provide quality signals and product readiness throughout the SDLC lifecycle What We’re Seeking 6+ years of experience in software quality engineering, preferably with experience validating backend and data-heavy systems. Deep understanding of QA methodologies, software testing life cycle, and test automation design patterns. Proficient in Java or Python for test automation and scripting. Hands-on experience building automation frameworks for REST APIs, Web Services, and microservices. Strong SQL skills and experience validating data pipelines, relational and NoSQL databases. Familiarity with cloud platforms (AWS preferred), containerization (Docker), and CI/CD tools like GitHub Actions or Jenkins. Solid understanding of Agile and Scrum methodologies; experience working in fast-paced, iterative development cycles. Proficiency with test management and defect tracking tools (e.g., JIRA, QTest, TestRail, Quality Center). Strong debugging and triaging skills, with a knack for identifying edge cases and performance bottlenecks. Strong communication, problem-solving, and collaboration skills, particularly in cross-functional teams including backend, ML, and DevOps stakeholders. Excellent collaboration and communication skills, with a proven ability to work effectively in cross-functional, globally distributed teams. A bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent hands-on industry experience. Our Offer to You An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. Show more Show less

Lead Backend Engineer About US FICO, originally known as Fair Isaac Corporation, is a leading analytics and decision management company that empowers businesses and individuals around the world with data-driven insights. Known for pioneering the FICO® Score, a standard in consumer credit risk assessment, FICO combines advanced analytics, machine learning, and sophisticated algorithms to drive smarter, faster decisions across industries. From financial services to retail, insurance, and healthcare, FICO's innovative solutions help organizations make precise decisions, reduce risk, and enhance customer experiences. With a strong commitment to ethical use of AI and data, FICO is dedicated to improving financial access and inclusivity, fostering trust, and driving growth for a digitally evolving world. The Opportunity “As a Lead backend Engineer on our Generative AI team, you will work at the frontier of language model applications, developing novel solutions for various areas of the FICO platform to include fraud investigation, decision automation, process flow automation, and optimization. We seek a highly skilled engineer with a strong foundation in digital product development, a zeal for innovation and responsible for deploying product updates, identifying production issues and implementing integrations. The backend engineer should thrive in agile, fast-paced environments, champion DevOps and CI/CD best practices, and consistently deliver scalable, customer-focused backend solutions. You will have the opportunity to make a meaningful impact on FICO’s platform by infusing it with next-generation AI capabilities. You’ll work with a team, leveraging skills to build solutions and drive innovation forward.”. What You’ll Contribute Design, develop, and maintain high-performance, scalable Python-based backend systems powering ML and Generative AI products. Collaborate closely with ML engineers, data scientists, and product managers to build reusable APIs and services that support the full ML lifecycle—from data ingestion to inference and monitoring. Take end-to-end ownership of backend services, including design, implementation, testing, deployment, and maintenance. Implement product changes across the SDLC: detailed design, unit/integration testing, documentation, deployment, and support. Contribute to architecture discussions and enforce coding best practices and design patterns across the engineering team. Participate in peer code reviews, PR approvals, and mentor junior developers by removing technical blockers and sharing expertise. Work with the QA and DevOps teams to enable CI/CD, build pipelines, and ensure product quality through automated testing and performance monitoring. Translate business and product requirements into robust engineering deliverables and detailed technical documentation. Build backend infrastructure that supports ML pipelines, model versioning, performance monitoring, and retraining loops. Engage in prototyping efforts, collaborating with internal and external stakeholders to design PoVs and pilot solutions. What We’re Seeking 8+ of software development experience, with at least 3 years in a technical or team leadership role. Deep expertise in Python, including design and development of reusable, modular API packages for ML and data science use cases. Strong understanding of REST and gRPC APIs, including schema design, authentication, and versioning. Familiarity with ML workflows, MLOps, and tools such as MLflow, FastAPI, TensorFlow, PyTorch, or similar. Strong experience building and maintaining microservices and distributed backend systems in production environments. Solid knowledge of cloud-native development and experience with platforms like AWS, GCP, or Azure. Familiarity with Kubernetes, Docker, Helm, and deployment strategies for scalable AI systems. Proficient in SQL and NoSQL databases and experience designing performant database schemas. Experience with messaging and streaming platforms like Kafka is a plus. Understanding of software engineering best practices, including unit testing, integration testing, TDD, code reviews, and performance tuning. Exposure to frontend technologies such as React or Angular is a bonus, though not mandatory. Experience integrating with LLM APIs and understanding of prompt engineering and vector databases. Exposure to Java or Spring Boot in hybrid technology environments will be a bonus. Excellent collaboration and communication skills, with a proven ability to work effectively in cross-functional, globally distributed teams. A bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent hands-on industry experience. Our Offer to You An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. Show more Show less

🚀 Job Title: Engineering Lead Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience: 5–10 Years Compensation: Competitive + Performance-based incentives + Meaningful ESOPs 🧠 About Darwix AI Darwix AI is one of India’s fastest-growing AI startups, building the future of enterprise revenue intelligence. We offer a GenAI-powered conversational intelligence and real-time agent assist suite that transforms how large sales teams interact, close deals, and scale operations. We’re already live with enterprise clients across India, the UAE, and Southeast Asia , and our platform enables multilingual speech-to-text, AI-driven nudges, and contextual conversation coaching—backed by our proprietary LLMs and cutting-edge voice infrastructure. With backing from top-tier VCs and over 30 angel investors, we’re now hiring an Engineering Lead who can architect, own, and scale the core engineering stack as we prepare for 10x growth. 🌟 Role Overview As the Engineering Lead at Darwix AI , you’ll take ownership of our platform architecture, product delivery, and engineering quality across the board. You’ll work closely with the founders, product managers, and the AI team to convert fast-moving product ideas into scalable features. You will: Lead backend and full-stack engineers across microservices, APIs, and real-time pipelines Architect scalable systems for AI/LLM deployments Drive code quality, maintainability, and engineering velocity This is a hands-on, player-coach role —perfect for someone who loves building but is also excited about mentoring and growing a technical team. 🎯 Key Responsibilities🛠️ Technical Leadership Own technical architecture across backend, frontend, and DevOps stacks Translate product roadmaps into high-performance, production-ready systems Drive high-quality code reviews, testing practices, and performance optimization Make critical system-level decisions around scalability, security, and reliability 🚀 Feature Delivery Work with the product and AI teams to build new features around speech recognition, diarization, real-time coaching, and analytics dashboards Build and maintain backend services for data ingestion, processing, and retrieval from Vector DBs, MySQL, and MongoDB Create clean, reusable APIs (REST & WebSocket) that power our web-based agent dashboards 🧱 System Architecture Refactor monoliths into microservice-based architecture Optimize real-time data pipelines with Redis, Kafka, and async queues Implement serverless modules using AWS Lambda, Docker containers, and CI/CD pipelines 🧑‍🏫 Mentorship & Team Building Lead a growing team of engineers—guide on architecture, code design, and performance tuning Foster a culture of ownership, documentation, and continuous learning Mentor junior developers, review PRs, and set up internal coding best practices 🔄 Collaboration Act as the key technical liaison between Product, Design, AI/ML, and DevOps teams Work directly with founders on roadmap planning, delivery tracking, and go-live readiness Contribute actively to investor tech discussions, client onboarding, and stakeholder calls ⚙️ Our Tech Stack Languages: Python (FastAPI, Django), PHP (legacy support), JavaScript, TypeScript Frontend: HTML, CSS, Bootstrap, Mustache templates; (React.js/Next.js optional) AI/ML Integration: LangChain, Whisper, RAG pipelines, Transformers, Deepgram, OpenAI APIs Databases: MySQL, PostgreSQL, MongoDB, Redis, Pinecone/FAISS (Vector DBs) Cloud & Infra: AWS EC2, S3, Lambda, CloudWatch, Docker, GitHub Actions, Nginx DevOps: Git, Docker, CI/CD pipelines, Jenkins/GitHub Actions, load testing Tools: Jira, Notion, Slack, Postman, Swagger 🧑‍💼 Who You Are 5–10 years of professional experience in backend/full-stack development Proven experience leading engineering projects or mentoring junior devs Comfortable working in high-growth B2B SaaS startups or product-first orgs Deep expertise in one or more backend frameworks (Django, FastAPI, Laravel, Flask) Experience working with AI products or integrating APIs from OpenAI, Deepgram, HuggingFace is a huge plus Strong understanding of system design, DB normalization, caching strategies, and latency optimization Bonus: exposure to working with voice pipelines (STT/ASR), NLP models, or real-time analytics 📌 Qualities We’re Looking For Builder-first mindset – you love launching features fast and scaling them well Execution speed – you move with urgency but don’t break things Hands-on leadership – you guide people by writing code, not just processes Problem-solver – when things break, you own the fix and the root cause Startup hunger – you thrive on chaos, ambiguity, and shipping weekly 🎁 What We Offer High Ownership : Directly shape the product and its architecture from the ground up Startup Velocity : Ship fast, learn fast, and push boundaries Founding Engineer Exposure : Work alongside IIT-IIM-BITS founders with full transparency Compensation : Competitive salary + meaningful equity + performance-based incentives Career Growth : Move into an EM/CTO-level role as the org scales Tech Leadership : Own features end-to-end—from spec to deployment 🧠 Final Note This is not just another engineering role. This is your chance to: Own the entire backend for a GenAI product serving global enterprise clients Lead technical decisions that define our future infrastructure Join the leadership team at a startup that’s shipping faster than anyone else in the category If you're ready to build a product with 10x potential, join a high-output team, and be the reason why the tech doesn’t break at scale , this role is for you. 📩 How to Apply Send your resume to people@darwix.ai with the subject line: “Application – Engineering Lead – [Your Name]” Attach: Your latest CV or LinkedIn profile GitHub/portfolio link (if available) A short note (3–5 lines) on why you're excited about Darwix AI and this role Show more Show less

Responsibilities Leads systems analysis and design. Leads design and development of applications. Develops and ensures creation of application documents. Defines and produces integration builds. Monitors emerging technology trends. Leads maintenance and support. Primary Skills Mastery of Core Java concepts and Java EE. Extensive experience with Spring and Spring Boot. Expert with CI/CD code automation and DevOps Expert with OpenShift Good experience with GCP Experience with Machine Learning & Artificial Intelligence Strong understanding of software architecture and design principles. Ability to design scalable, maintainable, and efficient Java & .Net applications. Understanding of data structures, programming logic, and design Understanding of application design patterns Excellent written & verbal communication skills Excellent attention to detail Secondary Skills Experience using ArgoCD Expert with Structured Query Language (SQL) Experience using Angular Experience using OAuth/OIDC Qualifications 12+ years of experience Bachelors Degree or International equivalent

🧠 Job Title: Engineering Manager Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 7–12 Years Compensation: Competitive salary + ESOPs + Performance-based bonuses 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing AI-first startups, building next-gen conversational intelligence and real-time agent assist tools for sales teams globally. We’re transforming how enterprise sales happens across industries like BFSI, real estate, retail, and telecom with a GenAI-powered platform that combines multilingual transcription, NLP, real-time nudges, knowledge base integration, and performance analytics—all in one. Our clients include some of the biggest names in India, MENA, and SEA. We’re backed by marquee venture capitalists, 30+ angel investors, and operators from top AI, SaaS, and B2B companies. Our founding team comes from IITs, IIMs, BITS Pilani, and global enterprise AI firms. Now, we’re looking for a high-caliber Engineering Manager to help lead the next phase of our engineering evolution. If you’ve ever wanted to build and scale real-world AI systems for global use cases—this is your shot. 🎯 Role Overview As Engineering Manager at Darwix AI, you will be responsible for leading and managing a high-performing team of backend, frontend, and DevOps engineers. You will directly oversee the design, development, testing, and deployment of new features and system enhancements across Darwix’s AI-powered product suite. This is a hands-on technical leadership role , requiring the ability to code when needed, conduct architecture reviews, resolve blockers, and manage the overall engineering execution. You’ll work closely with product managers, data scientists, QA teams, and the founders to deliver on roadmap priorities with speed and precision. You’ll also be responsible for building team culture, mentoring developers, improving engineering processes, and helping the organization scale its tech platform and engineering capacity. 🔧 Key Responsibilities1. Team Leadership & Delivery Lead a team of 6–12 software engineers (across Python, PHP, frontend, and DevOps). Own sprint planning, execution, review, and release cycles. Ensure timely and high-quality delivery of key product features and platform improvements. Solve execution bottlenecks and ensure clarity across JIRA boards, product documentation, and sprint reviews. 2. Architecture & Technical Oversight Review and refine high-level and low-level designs proposed by the team. Provide guidance on scalable architectures, microservices design, performance tuning, and database optimization. Drive migration of legacy PHP code into scalable Python-based microservices. Maintain technical excellence across deployments, containerization, CI/CD, and codebase quality. 3. Hiring, Coaching & Career Development Own the hiring and onboarding process for engineers in your pod. Coach team members through 1:1s, OKRs, performance cycles, and continuous feedback. Foster a culture of ownership, transparency, and high-velocity delivery. 4. Process Design & Automation Drive adoption of agile development practices—daily stand-ups, retrospectives, sprint planning, documentation. Ensure production-grade observability, incident tracking, root cause analysis, and rollback strategies. Introduce quality metrics like test coverage, code review velocity, time-to-deploy, bug frequency, etc. 5. Cross-functional Collaboration Work closely with the product team to translate high-level product requirements into granular engineering plans. Liaise with QA, AI/ML, Data, and Infra teams to coordinate implementation across the board. Collaborate with customer success and client engineering for debugging and field escalations. 🔍 Technical Skills & Stack🔹 Primary Languages & Frameworks: Python (FastAPI, Flask, Django) PHP (legacy services; transitioning to Python) TypeScript, JavaScript, HTML5, CSS3 Mustache templates (preferred), React/Next.js (optional) 🔹 Databases & Storage: MySQL (primary), PostgreSQL MongoDB, Redis Vector DBs: Pinecone, FAISS, Weaviate (RAG pipelines) 🔹 AI/ML Integration: OpenAI APIs, Whisper, Wav2Vec, Deepgram Langchain, HuggingFace, LlamaIndex, LangGraph 🔹 DevOps & Infra: AWS EC2, S3, Lambda, CloudWatch Docker, GitHub Actions, Nginx Git (GitHub/GitLab), Jenkins (optional) 🔹 Monitoring & Testing: Prometheus, Grafana, Sentry PyTest, Selenium, Postman ✅ Candidate Profile👨‍💻 Experience: 7–12 years of total engineering experience in high-growth product companies or startups. At least 2 years of experience managing teams as a tech lead or engineering manager. Experience working on real-time data systems, microservices architecture, and SaaS platforms. 🎓 Education: Bachelor’s or Master’s degree in Computer Science or related field. Preferred background from Tier 1 institutions (IITs, BITS, NITs, IIITs). 💼 Traits We Love: You lead with clarity, ownership, and high attention to detail. You believe in building systems—not just shipping features. You are pragmatic and prioritize team delivery velocity over theoretical perfection. You obsess over latency, clean interfaces, and secure deployments. You want to build a high-performing tech org that scales globally. 🌟 What You’ll Get Leadership role in one of India’s top GenAI startups Competitive fixed compensation with performance bonuses Significant ESOPs tied to company milestones Transparent performance evaluation and promotion framework A high-speed environment where builders thrive Access to investor and client demos, roadshows, GTM huddles, and more Annual learning allowance and access to internal AI/ML bootcamps Founding-team-level visibility in engineering decisions and product innovation 🛠️ Projects You’ll Work On Real-time speech-to-text engine in 11 Indian languages AI-powered live nudges and agent assistance in B2B sales Conversation summarization and analytics for 100,000+ minutes/month Automated call scoring and custom AI model integration Multimodal input processing: audio, text, CRM, chat Custom knowledge graph integrations across BFSI, real estate, retail 📢 Why This Role Matters This is not just an Engineering Manager role. At Darwix AI, every engineering decision feeds directly into how real sales teams close deals. You’ll see your work powering real-time customer calls, nudging field reps in remote towns, helping CXOs make hiring decisions, and making a measurable impact on enterprise revenue. You’ll help shape the core technology platform of a company that’s redefining how humans and machines interact in sales. 📩 How to Apply Email your resume, GitHub/portfolio (if any), and a few lines on why this role excites you to: 📧 people@darwix.ai Subject: Application – Engineering Manager – [Your Name] If you’re a technical leader who thrives on velocity, takes pride in mentoring developers, and wants to ship mission-critical AI systems that power revenue growth across industries, this is your stage . Join Darwix AI. Let’s build something that lasts. Show more Show less

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? The Finance Automation COE team within the Finance Technology Data & Transformation (FTD&T) group is responsible for strengthening business engagement framework, identifying and delivering results on critical projects and initiatives leveraging process automation and the use of advanced technologies. We are looking for a motivated colleague who is collaborative and passionate about transforming processes using automation tools & capabilities. The individual is expected to play a critical role of partnering with Controllership and broader Finance leadership teams to assess the opportunities, align with Process Owners and drive automation by using existing and new capabilities. The position is expected to lead automation projects, including process analysis, and partner with technical teams to deploy solutions for Amex Offers and Benefits and other fiancé initiatives. A strong focus on process optimization and driving results is required. The responsibilities of this role include: Collaborate with business partners to identify viable automation opportunities & assess feasibility and detailed analysis in consideration of various automation solutions. Maintain strong relationship with business partners to identify automation opportunities, enhance transparency and proactive communication on various automation initiatives. Support in creating project management cadence, create detailed project plan, collaborate with project team to manage the progress, and facilitate timely execution of automation initiatives. Able to support agile development life cycle, including writing user stories, support solving issues that arise during development, support SIT & UAT and facilitate deployment of the code. Partner with automation development resources and product owners to design a solution working in ‘Agile’ environment. Support in creating & maintaining end to end development roadmaps and Rally tracking for Amex Offers & Benefits projects. Support in creating & testing robust control management and documentation framework in compliance with FF requirements. Support and maintain optimal service management governance process for automated process. Prepare/hand-off process owner support documentation. Enhance automation outreach and training, strengthen ambassador program, provide program updates, and strengthen automation communication to finance colleagues. Skills Required: Innovative mindset and experience in evaluating business processes to identify opportunities for improvement and automation. Strong communication and written skills, with the ability to interact with and present to all levels of the organization. Proven ability to build and leverage relationships and influence key partners to drive collaboration. Monitor & support service management for critical fast forward implemented capabilities. Awareness of Automation tools and capabilities like Data Watch, ML, Business Process Management (BPM) and open-source features to make recommendations for the identified opportunities. Development & delivery of projects by using any of the tools will be a plus. Superior problem-solving and analytical skills, strong learning agility, curiosity and willingness to embrace new challenges. Exposure to agile methodologies, ability to coordinate multiple priorities at once and work in a dynamic, time-critical environment. Knowledge of Finance functions desired. Bachelor’s degree in Finance, Technologies or similar field preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Eternal Robotics is leading the charge in the Industrial AI space with its flagship platform, Hypervise - an advanced AI solution for Industrial Process Control. Utilizing the latest in Computer Vision and Deep Learning, Hypervise empowers industries to enhance productivity, ensure safety, and drive innovation. With a focus on systems integration, ER is committed to delivering comprehensive solutions that bridge the gap between Information Technology (IT) and Operational Technology (OT). We are on the lookout for a Software Engineering Manager with AI/ML and Full Stack Software expertise to lead project management and deliveries to our customers. Purpose of Role: The Software Engineering Manager will lead the end-to-end planning, coordination, and execution of software and AI development projects involving Full Stack Developers, Lead Computer Vision Engineers, and the Data Annotation team. This role ensures seamless cross-functional collaboration across QA/QC testing, Business Analysis, Hardware, and Supply Chain teams to deliver high-quality, integrated solutions on time. The SDM is accountable for technical task management, milestone delivery, integration planning, and stakeholder reporting, working closely with the Delivery Manager. Key Responsibilities Team & Technical Leadership Lead and manage Full Stack Developers, CV Engineers, and Annotation team members across multiple AI/ML projects. Translate project requirements into structured development tasks and allocate them across team members. Ensure development teams follow best practices in coding, integration, and documentation. Project Planning & Delivery Break down project deliverables into detailed sprint-level milestones. Ensure adherence to timelines and budget while maintaining quality standards. Drive integration of software with AI, hardware, and testing components, ensuring end-to-end system readiness. Task Management & Monitoring Use agile project management tools (e.g., JIRA, Trello) to monitor progress, manage sprint backlogs, and oversee task execution. Track and report task completion against planned timelines to Delivery Manager and other stakeholders. Progress Reporting & Stakeholder Communication Prepare and present weekly progress updates for internal leadership and clients. Communicate risks, blockers, and proposed mitigations clearly and promptly. Building and maintaining strong relationships with customers and partners. Quality & Process Excellence Enforce adherence to software quality standards, code review protocols, and CI/CD practices. Drive continuous improvement by incorporating feedback and retrospectives into future planning. Cross-Functional Collaboration Coordinate with Business Analysts for requirement discovery and documentation. Collaborate with QA/QC teams to establish validation protocols and ensure test readiness. Interface with Hardware and Supply Chain teams to align software deployment with hardware readiness and logistics. Key Result Areas (KRAs): Software Delivery Cross-Functional Execution Team Productivity Quality Assurance Stakeholder Communication Resource Management Continuous Improvement Key Performance Indicators (KPIs): % of sprint deliverables completed on time; bug count post-release On-time readiness for hardware integration and testing cycles Story points delivered per sprint; developer velocity trends % of test cases passed on first run; number of hot fixes post-deployment Timeliness and clarity of weekly reports and risk escalations Efficient workload balancing; unplanned attrition or burnout indicators Number of processes/tools improved; adoption of new practices/technologies Qualifications & Experience Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 8+ years of experience in software development, with 3+ years in a management role. Experience in managing full stack teams and delivering integrated solutions involving AI or computer vision. Strong exposure to Agile/Scrum methodologies and project tracking tools. Experience working with cross-functional hardware/software teams is highly preferred. Technical & Soft Skills Proficiency in modern development stacks (Python, Node.js, React, etc.) Familiarity with version control (Git), CI/CD pipelines, and cloud platforms. Strong leadership and mentoring abilities. Excellent verbal and written communication skills. High level of ownership and accountability. Internal & External Stakeholders Internal: Delivery Manager, Business Analysts, CV Engineers, Full Stack Engineers, QA/Test Engineers, Hardware Leads, Supply Chain Managers External: Clients, Partners, Deployment Engineers Show more Show less

Business Development Executive/Sr BDE Location: Pune & Bangalore Experience: 3-10 Yrs Job description : Hands-On experience in Cold calling/Lead generation. Knowledge of selling product engineering services to Data Centre Product, Enterprise/SaaS, Networking & Security, and Telecom Industry is mandatory. Candidates with Knowledge of Security, Networking, Virtualization, IoT, Cloud, AI/ML/GenAI markets & technologies will be given preference. Experience in selling into US markets is mandatory . Must have the ability to create, develop and sustain relationships at the CTO/CDO/VP/ Directors at Engineering levels at prospective client companies. Must have excellent interpersonal and communication skills. US staffing experience would be PLUS . Show more Show less

About the Role The newly created Global Business Technology (GBT) team at Chargebee is at the forefront of all major Chargebee growth and strategic initiatives. As such, we are looking to staff the team with the top talent at the organization. We are looking for a Senior Business Analyst with deep experience in Finance operations , data infrastructure , and a strong understanding of how AI/ML can drive smarter decision-making and higher efficiency in a high-growth SaaS/Fintech environment. Reporting to the Senior Manager of the Business Systems Solutions team, this hands-on role bridges the gap between business stakeholders and technical teams, helping define and execute data-driven solutions that power our strategic goals. The role will also encompass a degree of hands-on configuration and testing of changes to these systems for the company to allow for future scalability, growth and standardization. Key Responsibilities Partner with Finance, Revenue Operations, and GTM teams to translate business requirements into scalable technology, process and data solutions. Develop comprehensive business requirements documentation into user stories and process maps for system enhancements and data initiatives. Promote standardised/out of the box solutions where possible, and partner with engineering and product teams where these solutions are non-standard Lead initiatives to improve financial analytics, forecasting models, and reporting accuracy using cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). Drive AI/ML adoption by identifying use cases for automation, predictive analytics, and optimization (e.g., churn prediction, dynamic pricing). Collaborate with Data Engineering and BI teams to ensure data models and pipelines support evolving business needs. Champion self-service analytics and data literacy across departments. Conduct root cause analysis, opportunity sizing, and scenario modeling to inform high-stakes decisions. Provide analytical support during audits, budgeting, and board-level reporting cycles. Required Qualifications 5–8+ years of experience as a Business Analyst or similar role, preferably in a SaaS or Fintech company. Strong understanding of Finance functions (FP&A, Revenue Recognition, Billing, SaaS metrics like LTV, CAC, ARR). Hands-on experience with data warehousing tools (Snowflake, BigQuery, Redshift) and SQL proficiency. Familiarity with AI/ML concepts, models, and their practical application in business workflows. Proven ability to work across cross-functional teams, including Engineering, Finance, Product, and Ops. Ability to pivot between high level business discussions and in-depth technical discussions, keeping strategic goals in mind at all times Advanced Excel/Google Sheets skills, experience with Jira as well as BI tools (Tableau, Looker, Power BI) Excellent communication, storytelling, and documentation skills. Preferred Qualifications Experience with AI platforms or LLM-based tools and leveraging them in line with strategic business goals Exposure to financial systems like NetSuite, Chargebee, Stripe Experience working in Agile/Scrum environments. Knowledge of regulatory and compliance requirements relevant to financial data. Show more Show less

Company Size Mid-Sized Experience Required 3 - 6 years Working Days 5 days/week Office Location Karnataka, Bengaluru Role & Responsibilities Hopscotch is looking for a passionate Data Engineer to join our team. You will work closely with other teams like data analytics, marketing, data science and individual product teams to specify, validate, prototype, scale, and deploy data pipelines features and data architecture. Ability to work in a fast-paced startup mindset. Should be able to manage all aspects of data extraction transfer and load activities. Develop data pipelines that make data available across platforms. Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform. Work on various aspects of the AI/ML ecosystem – data modeling, data and ML pipelines. Work closely with Devops and senior Architect to come up with scalable system and model architectures for enabling real-time and batch services. Ideal Candidate 5+ years of experience as a data engineer or data scientist with a focus on data engineering and ETL jobs. Well versed with the concept of Data warehousing, Data Modelling and/or Data Analysis. Experience using & building pipelines and performing ETL with industry-standard best practices on Redshift (more than 2+ years). Ability to troubleshoot and solve performance issues with data ingestion, data processing & query execution on Redshift. Good understanding of orchestration tools like Airflow. Strong Python and SQL coding skills. Strong Experience in distributed systems like spark. Experience with AWS Data and ML Technologies (AWS Glue,MWAA, Data Pipeline,EMR,Athena, Redshift,Lambda etc). Solid hands on with various data extraction techniques like CDC or Time/batch based and the related tools (Debezium, AWS DMS, Kafka Connect, etc) for near real time and batch data extraction. Perks, Benefits and Work Culture Work with cutting-edge technologies on high-impact systems. Be part of a collaborative and technically driven team. Enjoy flexible work options and a culture that values learning. Competitive salary, benefits, and growth opportunities. Skills: teams,aws,data extraction,etl,data engineering,data warehousing,cdc,aws data technologies,data modeling,airflow,pipelines,data,spark,kafka connect,sql,python,load,redshift,ml Show more Show less

This role is for one of Weekday's clients Min Experience: 3 years Location: Bengaluru JobType: full-time Requirements We look forward to a candidate with Passion for problem-solving and taking end-to-end ownership of projects Extensive knowledge and prior work experience in machine learning (specifically in developing LLMs) Desire for a high-paced start-up ride Key Responsibilities: Formulate and implement data-driven solutions in the HealthTech domain: Building LLMs around healthcare data, wherein the work would involve creating datasets, continual pre-training, supervised fine-tuning, and preference alignment of models Developing product-led AI solutions for various healthcare entities Qualifications / Requirements Master / PhD degree in a relevant academic discipline (Preferred) 3-5 years of industry experience in building ML production-level pipelines. Extensive experience with LLMs (production-level deployment and fine-tuning) Strong track record of project delivery Show more Show less

We are looking for a motivated and curious Generative AI Engineer (Junior to Mid-Level) to join our growing Generative AI team. In this role, you’ll work closely with senior engineers to help develop and deploy cutting-edge generative AI systems across real business use cases. You'll contribute to solutions that integrate large language models (LLMs), embeddings, vector databases, and GenAI development frameworks. This is a hands-on role that offers the opportunity to work with production-grade GenAI technologies, grow your skill set, and have a real impact on user-facing AI features. Role and Responsibilities Typical duties and responsibilities for Gen-AI engineer position may include but not limited to: Support the fine-tuning, deployment, and integration of large language models (LLMs) and other generative models (e.g., GPT, Mistral). Build and maintain retrieval-augmented generation (RAG) pipelines using embeddings and vector databases like FAISS, Pinecone, or Chroma. Contribute to prompt engineering, schema design, and function calling logic to guide LLM behavior in production workflows. Work with GenAI development frameworks to build, orchestrate, route, and serve GenAI-powered features, workflows, and agents. Stay up to date with the latest advancements in generative AI, prompt tooling, and language model APIs. Participate in experiments exploring new architectures, model capabilities, and prompting techniques. Help evaluate model behaviors and document findings to support continual improvement. Work under the guidance of senior AI engineers and participate in code reviews, design discussions, and technical planning. Take ownership of well-scoped components and contribute to production releases. Embrace a learning-first environment and help foster a collaborative, transparent team culture. Collaborate with cross-functional teams (engineering, product, design) to deliver user-facing GenAI features. Implement backend APIs and services powered by LLMs, including local and cloud-hosted models. Support LLM observability efforts to track pipelines’ execution, logs, LLM calls, performance, latency, and failure cases. Assist in evaluating and mitigating bias, hallucination, and safety risks in generative AI systems. Ensure that outputs and user-facing AI behavior follow responsible AI principles and privacy standards. Knowledge sharing and culture building as we work in team structure, it is very essential to have the spirit of sharing the knowledge. Keep aligned with our team(s) coding and design standards. Ability to communicate and work well with others. Ability to deliver on time keeping a high quality of work. To quickly become an expert in our tech stack, specifically the systems relating to your role. Requesting training when required. Check in with your line manager and update on your progress. Qualifications: Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent hands-on experience). 2+ years of experience in software development or applied machine learning (including internships, research, or open-source contributions). Proven hands-on experience working with LLM APIs Practical exposure to embeddings , vector databases , and RAG workflows. Experience using core frameworks such as LangChain , LangGraph , LiteLLM , or Ollama . Proficiency in Python and familiarity with AI/ML libraries such as Hugging Face Transformers or PyTorch. Understanding of prompt engineering, output parsing, and function/tool calling with LLMs. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma) and semantic retrieval techniques. Basic understanding of structured outputs using Pydantic or JSON schema. Experience with LLM observability tools like LangSmith , LangFuse , Opik , etc.. Comfortable working with Git, APIs, and cloud platforms (AWS, GCP, etc.) Experience building or contributing to agentic workflows, multi-step LLM tools, or stateful AI agents is a Plus. Awareness of ethical AI challenges, bias mitigation, and model evaluation techniques is a Plus. Contributions to open-source AI projects or technical writing in the GenAI space is a Plus. Strong analytical and problem-solving abilities. Excellent communication and collaboration skills across technical and non-technical teams. Excellent verbal and written English communication skills. High attention to detail, curiosity, and willingness to experiment and learn. Show more Show less

Company Description Aasvaa Universal is a dynamic tech-driven company committed to transforming businesses and governments through innovative solutions. Founded in 2024 with headquarters in Jaipur, Rajasthan, Aasvaa specializes in cutting-edge technologies like Artificial Intelligence (AI), Augmented Reality (AR), Machine Learning (ML), and advanced digitization services. Our focus lies in providing impactful B2B and B2G solutions that empower organizations to streamline operations, enhance efficiency, and achieve their strategic goals. With a vision to drive sustainable growth and technological advancement, Aasvaa is dedicated to delivering high-quality, scalable, and customized solutions. Role Description This is a full-time hybrid role for a Chief Technology Officer (Co-Founder) based in Jaipur, with partial remote work. The CTO will be responsible for setting the IT strategy, managing IT operations, overseeing infrastructure, and ensuring the alignment of technology initiatives with business goals. Daily tasks include leading the technology team, developing technical aspects of the company's strategy, ensuring code quality, and implementing innovative technologies to provide a competitive advantage. The CTO will also collaborate with other executives to drive the company's growth and technological advancement. Qualifications Experience in Information Technology and IT Management Expertise in IT Operations, IT Strategy, and Infrastructure management Strong leadership and communication skills Ability to work independently and within a team in a hybrid environment Experience with AI, AR, ML technologies is a plus Previous experience in a start-up or entrepreneurial environment preferred Bachelor's or Master's degree in Computer Science, Engineering, or a related field Show more Show less

Website http://www.intraedge.com Machine Leaning Engineer Experience-6+Years Notice period-max 15 days Location -Pune/Remote Job Summary: Job Overview Machine Learning Engineer (Python, AWS) We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning. Responsibilities: Design, develop, and deploy scalable machine learning models. Implement and optimize ML algorithms using Python. Leverage AWS services (e.g., Sagemaker, EC2, S3, Lambda) for ML model training, deployment, and monitoring. Collaborate with data scientists and other engineers to bring ML solutions to production. Ensure the performance, reliability, and scalability of ML systems. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional experience as a Machine Learning Engineer. Expertise in Python programming for machine learning. Strong experience with AWS services for ML (SageMaker, EC2, S3, Lambda, etc.). Solid understanding of machine learning algorithms and principles. Experience with MLOps practices is a plus. 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 🧠 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

AI Engineer Key Responsibilities GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like GPT4o, O3 , llama3 Enhance the existing RAG based application: In depth understanding of stages of RAG - chunking, retrieval etc. Cloud Deployment: Deploy and scale GenAI solutions on Azure Cloud services (e.g., Azure Function App) for optimal performance. In depth understanding of ML models like linear regression, random forest, decision trees. In depth understanding on clustering and supervised models. AI Agent Development: Build AI agents using frameworks like LangChain to streamline internal processes and boost efficiency. Data Analytics: Perform advanced data analytics to preprocess datasets, evaluate model performance, and derive actionable insights for GenAI solutions. Data Visualization: Create compelling visualizations (e.g., dashboards, charts) to communicate model outputs, performance metrics, and business insights to stakeholders. Stakeholder Collaboration: Partner with departments to gather requirements, align on goals, and present technical solutions and insights effectively to non-technical stakeholders. Model Optimization: Fine-tune GenAI models for efficiency and accuracy using techniques like prompt engineering, quantization, and RAG (Retrieval-Augmented Generation). LLMOps Best Practices: Implement GenAI-specific MLOps, including CI/CD pipelines (Git, Azure DevOps) Leadership: Guide cross-functional teams, mentor junior engineers, and drive project execution with strategic vision and ownership. Helicopters, strategic Thinking**: Develop innovative GenAI strategies to address business challenges, leveraging data insights to align solutions with organizational goals. Self-Driven Execution: Independently lead projects to completion with minimal supervision, proactively resolving challenges and seeking collaboration when needed. Continuous Learning: Stay ahead of GenAI, analytics, and visualization advancements, self-learning new techniques to enhance project outcomes. Required Skills & Experience Experience: 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. Education: BTech/BE in Computer Science, Engineering, or equivalent (Master’s or PhD in AI/ML is a plus). Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. GenAI Methodologies: Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. Deployment: Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights & Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring. Soft Skills: Communication: Exceptional verbal and written skills to articulate complex GenAI concepts, analytics, and visualizations to technical and non-technical stakeholders. Strategic Thinking: Ability to align AI solutions with business objectives, using data-driven insights to anticipate challenges and propose long-term strategies. Problem-Solving: Strong analytical skills with a proactive, self-starter mindset to independently resolve complex issues. Collaboration: Collaborative mindset to work effectively across departments and engage colleagues for solutions when needed. Speed to outcome Preferred Skills Experience deploying GenAI models in production environments, preferably on Azure Familiarity with multi-agent systems, reinforcement learning, or distributed training (e.g., DeepSpeek). Knowledge of DevOps practices, including Git, CI/CD, and infrastructure-as-code. Advanced data analytics techniques (e.g., time-series analysis, A/B testing) for GenAI applications. Experience with interactive visualization frameworks (e.g., Dash, Streamlit) for real-time dashboards. Contributions to GenAI or data analytics open-source projects or publications in NLP, generative modeling, or data scien Show more Show less

Job Description: Director of Engineering Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience: 8–12 Years About Darwix AI Darwix AI is a next-generation Gen-AI-powered sales enablement platform that empowers enterprise sales teams with intelligent nudges, real-time insights, and AI-driven conversation analytics. By combining AI, automation, and contextual intelligence, we are redefining how sales teams engage, close, and scale. Backed by leading VCs and industry leaders, Darwix AI is one of the fastest-growing AI startups in India, with an expanding presence across MENA, India, and the US. Role Overview We are seeking a highly experienced and technically proficient Director of Engineering to lead and scale our engineering team. In this role, you will be responsible for managing backend development, DevOps, and infrastructure initiatives. The ideal candidate will be a hands-on technical leader with a strong architectural foundation and proven experience scaling engineering teams and systems in high-growth environments. You will work closely with the Vice President of Engineering and Founders to drive engineering excellence, ensure timely delivery, and lead technical decision-making aligned with business goals. Key Responsibilities Engineering Leadership Lead engineering execution across backend services (Python, PHP), infrastructure, and DevOps. Define technical strategy and ensure alignment with product and organizational goals. Own the delivery roadmap and ensure timely and high-quality outputs. System Architecture and Scalability Oversee backend architecture to ensure reliability, scalability, and performance. Guide the implementation of microservices, RESTful APIs, and scalable cloud-based infrastructure. Design and review systems with considerations for high-volume data ingestion and low-latency processing. Team Management and Development Build, lead, and mentor a high-performing engineering team. Implement best practices for code quality, testing, deployment, and team collaboration. Foster a strong engineering culture focused on learning, execution, and accountability. Cross-Functional Collaboration Collaborate with product, AI/ML, sales, and design teams to align engineering deliverables with business priorities. Translate product requirements into structured engineering plans and milestones. Cloud Infrastructure and DevOps Work closely with the DevOps function to manage AWS cloud infrastructure, CI/CD pipelines, and security protocols. Ensure system uptime, data integrity, and disaster recovery preparedness. AI Infrastructure Support Support integration with LLMs and AI/ML models. Lead initiatives involving vector databases (e.g., FAISS, Pinecone, Weaviate) and retrieval-augmented generation pipelines. Qualifications Education Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical discipline. Candidates from premier institutions (IITs, BITS, NITs) will be preferred. Experience 8–12 years of progressive engineering experience with at least 3 years in a leadership role. Proven experience in building scalable backend systems and managing high-performing engineering teams. Strong exposure to Python and PHP/NodeJS in production-grade systems. Experience in designing and managing infrastructure on AWS or equivalent cloud platforms. Familiarity with containerization (Docker, Kubernetes) and CI/CD systems. Desirable Skills Experience working with vector databases, embeddings, and AI/ML deployment in production. Deep understanding of microservices architecture, event-driven systems, and RESTful API design. Strong communication and stakeholder management skills. What We Offer Leadership role in a fast-scaling, venture-backed AI technology firm. Opportunity to work on large-scale AI applications in real-world enterprise environments. Competitive compensation including fixed salary, ESOPs, and performance-based bonuses. A high-performance culture that encourages ownership, innovation, and continuous learning. Direct collaboration with senior leadership on strategic initiatives. Application Note: This role demands both technical expertise and strategic foresight. We are looking for leaders who are comfortable building systems hands-on, mentoring teams, and ensuring consistent execution in a high-growth, high-ownership environment. Show more Show less

Use Your Power for Purpose At Pfizer, technology impacts everything we do. Our digital and 'data first' strategy focuses on implementing impactful and innovative technology solutions across all functions, from research to manufacturing. By digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives. Your dedication and hard work will be instrumental in helping Pfizer achieve new milestones and make a positive impact on patients worldwide. What You Will Achieve In this role, you will: Lead and guide moderately complex projects, effectively managing time and resources Learn and gain expertise in Pfizer’s Intercompany Operations global model template and Pfizer’s Intercompany Automation Solution (FLEX). Also learn Pfizer’s Business Processes relevant to these solution areas. Collaborate with business users to understand business requirements, provide cost estimates and design SAP solutions to meet business requirements. Design and configure enhancements to SAP standard solution or new custom solution, and work with developers to implement the solution and perform testing as needed. Develop strong relationships at all levels in the organisation and collaborate with stakeholders with different cultural backgrounds and in different geographical regions. Lead teams of consultants and collaborate closely with regional and global Digital teams to deliver solutions in time and on budget. Communicate effectively with technical teams to get solutions developed and managing the business users’ expectations to ensure clear communication of the issues to seek input on a timely manner. Stay abreast of new technology trends and look for ways to apply next generation technologies such as AI and ML where it makes sense. Learn and adopt internal working procedures and foster conformance and standardization. Also suggest ways to improve procedures and practices. Here Is What You Need (Minimum Requirements) Bachelor's Degree or equivalent experience, 5+ years' experience working on SAP Sales and Distribution module (including Logistics Execution) including at least 2 years working on SAP S/4HANA. In-depth knowledge of integration points between SD and GTS, Finance, Manufacturing, Procurement and Quality Ability to define and understand business requirements, design SAP solutions and configure the system to meet the requirements. Ability to work with middleware team or ABAP/web developers to design, develop and test interfaces or system enhancements. Excellent written and verbal communication skills, with the ability to communicate with business and technical people alike. Excellent project management, analytical, leadership and inter-personal skills. Quick learner. Demonstrate initiative and ownership. Strong knowledge of Microsoft Office Products (including Teams) Bonus Points If You Have (Preferred Requirements) Master's degree. Relevant pharmaceutical industry experience. Experience with EDI Integration, Cloud for Customer (C4C)/Service Cloud, Fiori, BTP and Advanced ATP. Experience working on global programs. Understanding of Agile framework. Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech Show more Show less

Role – AIML Data Scientist Location : Kochi Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less

Role : Python Engineer Overview of the position: We are looking for a proactive and analytical Python Automation Engineer & Data Modeler to join our team. This individual will be responsible for automating existing manual processes, supporting ongoing automation workflows, and developing simple machine learning models. The ideal candidate will have strong problem-solving and troubleshooting skills , a good understanding of Python , and a passion for automation and data analysis. Requirements : Educational Qualification : BE/ B.Tech/MCA or equivalent degree in Computer Science or BE / B.Tech (Artificial Intelligence and Machine Learning) or M.Tech in Data Science (AI & ML) or Post Graduate Program in Artificial Intelligence and Machine Learning Experience : 0-2 years of hands-on experience in Python programming with a focus on automation and data modeling . Skills : Strong knowledge of Python, with expertise in libraries like pandas , NumPy , scikit-learn , and TensorFlow . Experience in automating processes using Python-based frameworks and tools (e.g., Airflow , cron jobs , task schedulers ). Good understanding of algorithms and data structures. Analytical and troubleshooting skills, with the ability to identify and resolve issues in automated systems. Strong problem-solving ability and a detail-oriented approach. Familiarity with data visualization tools like Matplotlib, Seaborn is a plus Key Responsibilities: Algorithm Development & Process Automation : Design, develop, and implement Python-based algorithms to automate manual processes across various departments. Identify automation opportunities, optimize existing workflows, and implement solutions that streamline operations. Support Existing Automation : Provide ongoing support and maintenance for the existing automation pipelines to ensure they run efficiently and without interruptions. Troubleshoot and debug any issues related to automated processes and implement fixes or improvements. Model Building & Deployment : Build, test, and deploy simple predictive models or algorithms using machine learning libraries like scikit-learn or TensorFlow . Ensure the models are scalable and integrate seamlessly into the automated processes. Data Analysis & Processing : Clean, preprocess, and analyze large datasets to support automation and model development. Ensure data integrity and accuracy for reliable model training and process execution. Collaboration & Documentation : Collaborate with cross-functional teams to understand requirements and deliver optimal technical solutions. Document the algorithms, automation workflows, and models to ensure maintainability and knowledge sharing across teams. Location: Chennai Employment Type: Internship Role Category: Software Engineer About the Company: Matrimony.com Ltd is India's first pure play Wed-Tech Company to get listed on BSE and NSE. Its flagship brand Bharat Matrimony is the largest and the Most Trusted Matrimony Brand (as per the Brand Trust Report 2014). Over 3000 associates serve close to 6 million members. The company provides both matchmaking and wedding related services and is also complemented by 100+ company-owned retail outlets. Its flagship matchmaking services are Bharat Matrimony, Elite Matrimony and Community Matrimony. Jodii, a game changing vernacular matrimony service for common people was launched in 2022. With Jodii, Matrimony.com serves all facets of people on the economic spectrum – ranging from the HNI to the commoner. With a strong leadership in matchmaking, the company has fast expanded into the $55 billion wedding services Industry: Wedding Bazaar – the Largest Wedding Services Provider and Mandap.com – the Largest Online Wedding Venues Platform. Matrimony has also forayed into international markets with its UAE operations completing over 4 years and Bangladesh operations commencing in year 2021. The goal is to build a billion-dollar revenue company and a long-lasting institution with a legacy for the generations to come. Location: Chennai Employment Type: Internship Role Category: Software Engineer Location : Chennai Show more Show less

Role : MLOps Engineer Location – PAN India Notice: Immediate to 60 days Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ benefits and usage. Required experience and qualifications: Wide experience with Kubernetes. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit. Experience in CI/CD/CT pipelines implementation. Experience with cloud platforms - preferably AWS - would be an advantage.

Supports clients/customers and assists with functional projects under regular supervision. Has a general knowledge of the work function. About The Position Chevron ENGINE is looking for high-performing candidates to join our Reservoir Engineering and Simulation team with a focus on software development. The Reservoir Engineering and Simulation team focuses on field development/application as well as technology development. This role performs Reservoir Engineering and Simulation related software development to support Chevron operations. Will be involved in enhancing Chevron’s Reservoir Simulation and Optimization workflows to provide differentiating capability and integration of a mix of proprietary and best-in-class vendor products. The senior simulation development engineer should have sufficient experience and expertise to coach and mentor others in the team. Key Responsibilities Teaming with US-based R&D groups focusing on developing and deploying reservoir simulation and optimization products and workflows Targeted user-experience and data management development, e.g., GUI, Power-BI, data engineering, machine learning engineering, and mature digital MVPs (Minimal Viable Products) Application testing, pipeline, build and release in cloud platform Application run, maintain and user support Development of technical software and training documentation Coaching and mentoring Required Qualifications BSc/MSc degree in Petroleum Engineering or related areas At least three years of experience in Petroleum Engineering or related industry Demonstrated fluency in engineering software development, including python, C#, C++, HPC (MPI, GPU, threading), cloud computing frameworks, Azure ecosystems developments (pipelines, dashboards, visualization, data management systems) Understanding of physical process associated with subsurface flow and the relationship to the governing model equations required for subsurface flow simulations Understanding of subsurface uncertainty analysis and optimization technologies and workflows, such as design of experiments and history matching Ability to integrate reservoir simulation & optimization workflows & engines with cloud platforms & services (DELFI, OSDU, RESQML) Experience of customer support and understanding of subsurface business needs and utilizing SAFe agile processes to implement highly prioritized features Good communication skills and work effectively in a team environment Familiarity with reservoir simulation, uncertainty & optimization (U&O) workflows, Intersect, Petrel-RE, and Petroleum Experts IPM is preferred but not a must Skills of using ML/AI to accelerate performance, and accuracy of reservoir simulation & optimization is preferred but not a must Direct experience with flow-geomechanics coupling, surface-subsurface coupling, unconventional reservoirs, uncertainty analysis, optimization, computational geosciences, fracture modeling, discretization, gridding, improved/enhanced/chemical oil recovery is a plus but not a must Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1:30pm to 10:30pm. Chevron participates in E-Verify in certain locations as required by law. Show more Show less

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 3 years Location: Bengaluru JobType: full-time We are on the lookout for a Machine Intelligence Specialist to join our forward-thinking engineering team. This role is ideal for individuals passionate about building intelligent systems that transform raw data into real-world automation through advanced natural language processing (NLP), computer vision, and machine learning technologies. You will lead initiatives involving deep learning, model deployment, and system optimization, contributing to high-impact products across domains. If you're energized by turning cutting-edge AI research into practical solutions, this is your opportunity to make a difference. Your Mission Design and Develop Intelligent Systems : Create robust machine learning models for tasks in NLP (e.g., text summarization, named entity recognition, semantic search) and computer vision (e.g., image classification, OCR, object detection). Deep Learning Engineering : Build and optimize models using TensorFlow, Keras, or PyTorch, leveraging neural architectures such as CNNs, RNNs, LSTMs, and Transformers. Collaborative Innovation : Partner with product, data, and engineering teams to align AI development with real business needs, ensuring seamless integration of intelligence into products and workflows. Cloud-Native Deployment : Implement and scale ML models on AWS, Azure, or GCP using native services and containerization tools (Docker, Kubernetes). AI at Scale : Drive performance tuning, data preprocessing, A/B testing, and continuous training to ensure accuracy and production reliability. Model Lifecycle Ownership : Implement MLOps best practices, including CI/CD pipelines for ML, model versioning, and monitoring using tools like MLflow or SageMaker. Ethical & Transparent AI : Prioritize explainability, fairness, and compliance throughout the model development lifecycle. What You Bring Essential Qualifications 3+ years of hands-on experience in designing, training, and deploying machine learning models. Strong background in Python and ML libraries: TensorFlow, Keras, OpenCV, scikit-learn, Hugging Face Transformers, etc. Experience in both NLP and computer vision use cases and toolkits. Proven ability to deploy models using cloud-native AI tools on AWS, Azure, or GCP. Familiarity with containerization (Docker) and orchestration (Kubernetes). Solid foundation in mathematics, statistics, and deep learning algorithms. Excellent communication skills and a collaborative mindset. Bonus Points For Experience with MLOps workflows and tools like MLflow, TFX, or Kubeflow. Exposure to edge AI or streaming inference systems. Understanding of responsible AI principles and data governance. Show more Show less

About the Roles As a Technical Lead, you will play a pivotal role in guiding the development and deployment of cutting-edge AI solutions within our organization. You will lead a high-performing team of AI/ML engineers and collaborate closely with cross-functional stakeholders to deliver innovative generative AI, NLP, and intelligent automation capabilities. Your expertise will ensure technical excellence, scalable architecture, and successful delivery of strategic AI initiatives aligned with organizational goals. Lead the development and deployment of cutting-edge AI solutions within the organization. Guide and mentor a high-performing AI/ML engineering team. Architect scalable, reliable, cloud-native AI solutions adhering to industry standards. Drive end-to-end development of flagship AI projects, including POCs and prototypes. Collaborate with cross-functional teams to define requirements and ensure technical feasibility. Lead R&D initiatives to explore emerging Gen AI, NLP, and automation technologies. Ensure best practices in Agile, DevOps, and CI/CD are adopted across the team. Oversee the deployment of AI models on cloud platforms like AWS, Azure, or GCP. Optimize, tune, and validate ML/NLP models for production readiness. Maintain high standards for technical documentation, reporting, and knowledge sharing. Act as the technical interface for stakeholders, communicating project progress and risks. About You Possess 5 to 8 years of AI/ML experience, with 2+ years in a leadership or senior role. Have proven expertise in designing and deploying cloud-native AI applications. Proficient in Python and libraries such as TensorFlow, PyTorch, and NLP tools. Deep understanding of AI/ML concepts, including agentic AI, Gen AI, OCR, NLP, and retrieval tasks. Strong leadership skills with the ability to motivate and guide technical teams. Experienced in creating scalable architectures, workflows, and process flows. Skilled in troubleshooting, analytical thinking, and problem-solving. Excellent communicator capable of explaining complex concepts to non-technical stakeholders. Stay updated with industry trends and lead innovative R&D efforts in AI and automation. Candidate should be graduate /post-graduate with strong academic record and minimum of 9-10 years of experience with 4-6 years working as Technical Lead. Experience in .Net and SQL skills at minimum 2-3 years. Engineering from a Tier-1/Tier-2 institute will be preferred. #LI-AD1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. 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Requirements: Bachelors or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. Proficiency in Python, R, or a similar programming language. Experience with SQL and data querying from relational databases. Strong foundation in statistics, machine learning, and data modeling. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Excellent problem-solving and communication skills.