1463 Openai Jobs - Page 36

Job Title: AI Engineer – Microsoft CoPilot Key Responsibilities: We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment and be experts in Microsoft CoPilot and related technologies. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities: Agent Development: Design, implement, and optimize AI agents using Microsoft CoPilot and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration: Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation: Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement: Stay updated on advancements in AI, machine learning, and Microsoft’s AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills: Strong knowledge of Microsoft Power Automate, Azure AI, and CoPilot features. Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. Understanding of conversational AI technologies and chatbot frameworks. Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying AI/ML models in real-world applications. Strong programming skills, especially in Python, and familiarity with version control systems like Git. Extensive experience in the Microsoft environment, with expertise in CoPilot and related technologies. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced, dynamic environment. Show more Show less

Experience: 0-2 years Education: Any Engineering/Computer Science graduate CTC : 3.5-5 LPA Job Requirements and Skills Write scalable and well-structured TypeScript, React, and CSS code, ensuring excellent design, user experience, and accessibility Adaptable Full stack developer skilled in learning new technologies and solving complex problems efficiently. Hands-on expertise in building applications with Next.js (and preferably Shopify) Knowledge of React performance optimization techniques Good understanding of unit testing using Jest or Cypress Knowledge of at least one relational database (MySQL, Postgres, etc) Working knowledge of git or any other version control system and Vercel/Netlify/AWS Amplify Understanding of OpenAI and Prompt Engineering Knowledge of Redux and integration Rest APIs Strong analytical and problem-solving skills Key Responsibilities Build and optimize web applications in collaboration with cross functional teams ensuring it delivers a top-tier user experience and maximizes conversions Optimize website speed and efficiency through strategic rendering methods, caching, image enhancements, and adherence to Web Vitals standards Ensure a seamless user experience across devices by implementing responsive design principles and best practices Conduct technical analysis of Figma designs to assess the feasibility, scalability, and alignment with business requirements. Implement and maintain unit tests to enhance code quality Continuously explore and adapt to the latest advancements in web technologies and frameworks. About Us At Incerro.ai , we are redefining digital experiences t hrough cutting-edge AI-driven solutions . As an innovative and fast-growing technology company, we specialize in UI/UX advancements , Generative AI and intelligent automation enabling businesses worldwide to operate smarter and more efficiently. Our expertise lies in developing scalable, high-impact technologies that drive growth, enhance user engagement, and streamline operations. If you're passionate about crafting intelligent, future-ready solutions and pushing the boundaries of what's possible with AI, Incerro.ai is the perfect place to bring your vision to life. Join us in shaping the next generation of AI-powered digital experiences ! What We Offer We foster a collaborative, transparent, and open-minded work culture where every voice is heard Enjoy a flat hierarchy with direct access to leadership and decision-making processes Work on cutting-edge projects with emerging technologies, AI, and scalable solutions Fun Fridays every week, where we take a break, play games, and unwind as a team Show more Show less

Job Title: Azure Pre-Sales Architect Experience Level: Senior (7+ years in cloud sales/solution architecture) Location: Remote Type: Contract Job Summary: The Azure Sales Architect is a customer-facing technical sales leader who drives Azure cloud adoption by designing and positioning Microsoft Azure solutions to enterprise clients. This role combines deep technical expertise with sales acumen, ensuring that proposed solutions align with customer business goals while maximizing revenue opportunities. The ideal candidate will have a proven track record in cloud presales, strong Azure architecture skills, and the ability to influence C-level decision-makers. Key Responsibilities: 1. Technical Sales & Customer Engagement Partner with sales executives to identify and qualify Azure cloud opportunities. Lead discovery workshops to understand customer pain points and business objectives. Deliver compelling presentations, demos, and proof-of-concepts (PoCs) to showcase Azure solutions. Articulate business value, ROI, and competitive advantages of Azure vs. AWS/GCP. 2. Solution Design & Proposal Development Develop high-impact proposals, RFx responses, and Statements of Work (SOWs). Design scalable, secure, and cost-optimized Azure architectures (IaaS, PaaS, SaaS). Advise customers on migration strategies (lift-and-shift, refactor, rearchitect). Incorporate AI/ML, data analytics, DevOps, and security best practices into solutions. 3. Deal Execution & Revenue Growth Collaborate with partners (Microsoft, ISVs, SIs) to accelerate deal closures. Provide technical guidance on pricing, licensing, and commercial models (Azure Hybrid Benefit, Reserved Instances). Support contract negotiations by addressing technical objections and risks. 4. Market & Competitive Intelligence Stay updated on Azure innovations (e.g., AI, Copilot, Fabric, OpenAI integrations). Analyze competitor offerings (AWS, GCP) and position Azure effectively. Share insights with sales and marketing teams to refine go-to-market strategies. Required Skills & Qualifications: Technical Expertise: ✅ Azure Cloud Services: Deep knowledge of Azure Compute, Networking, Storage, Databases, Security. Hands-on experience with AKS, Azure Synapse, AI/ML, IoT, and Data Solutions. Familiarity with hybrid/multi-cloud architectures (Azure Arc, Azure Stack). ✅ Cloud Migration & Modernization: Experience with Azure Migrate, ASR, and cloud-native development. Knowledge of FinOps, TCO analysis, and cost optimization strategies. Security & Compliance: Expertise in Azure Security Center, Defender, RBAC, and Zero Trust. Understanding of compliance standards (GDPR, HIPAA, ISO 27001, NIST). Sales & Consulting Skills: ✅ Presales & Customer Influence: Ability to translate technical features into business outcomes. Strong storytelling, whiteboarding, and objection-handling skills. Experience in RFP responses, deal shaping, and proposal development. Certifications (Preferred): Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Security Engineer Associate Show more Show less

Data Scientist Associate Responsibilities As a selected intern, your daily tasks will include: Engaging in data science projects and analytics. Developing and implementing data models, AI, ML, deep learning, NLP, GenAI, LangChain, LLM, LLAMA, OpenAI, and GPT-based solutions. Managing data pipelines, ETL/ELT processes, and data warehousing. Utilizing Python and its libraries for advanced programming tasks. Handling data collection, management, cleaning, and transformation. Creating data visualizations using BI tools such as Power BI, Kibana, and Google Data Studio. Working with databases like MongoDB, Neo4j, Dgraph, and SQL. Leveraging cloud platforms, including GCP, AWS, Azure, Linode, and Heroku. Required Skills Python Flask Django MongoDB API Development Elasticsearch Machine Learning Artificial Intelligence Job Details Work Mode: Remote (Work From Home) Start Date: Immediate Duration: 6 months Stipend: ₹10,000 – ₹12,000 per month Industry: Information Technology & Services Employment Type: Probation of 6 Months followed by Full-time Position based on performance Show more Show less

MACHINE-LEARNING ENGINEER ABOUT US Datacultr is a global Digital Operating System for Risk Management and Debt Recovery, we drive Collection Efficiencies, Reduce Delinquencies and Non-Performing Loans (NPL’s). Datacultr is a Digital-Only provider of Consumer Engagement, Recovery and Collection Solutions, helping Consumer Lending, Retail, Telecom and Fintech Organizations to expand and grow their business in the under-penetrated New to Credit and Thin File Segments. We are helping millions of new to credit consumers, across emerging markets, access formal credit and begin theirjourney towards financialhealth. We have clients acrossIndia, South Asia, South East Asia, Africa and LATAM. Datacultr is headquartered in Dubai, with offices in Abu Dhabi, Singapore, Ho Chi Minh City, Nairobi, and Mexico City; and our Development Center is located out of Gurugram, India. ORGANIZATION’S GROWTH PLAN Datacultr’s vision is to enable convenient financing opportunities for consumers, entrepreneurs and small merchants, helping them combat the Socio-economic problems this segment faces due to restricted access to financing. We are on a missionto enable 35 million unbanked& under-served people,access financial services by the end of 2026. Position Overview We’re looking for an experienced Machine Learning Engineer to design, deploy, and scale production-grade ML systems. You’ll work on high-impact projects involving deep learning, NLP, and real-time data processing—owning everything from model development to deployment and monitoring while collaborating with cross-functional teams to deliver impactful, production-ready solutions. Core Responsibilities Representation & Embedding Layer Evaluate, fine-tune, and deploy multilingual embedding models (e.g., OpenAI text-embedding-3, Sentence-T5, Cohere, or in-house MiniLM) on AWS GPU or serverless endpoints. Implement device-level aggregation to produce stable vectors for downstream clustering. Cohort Discovery Services Build scalable clustering workflows in Spark/Flink or Python on Airflow. Serve cluster IDs & metadata via feature store / real-time API for consumption. MLOps & Observability Own CI/CD for model training & deployment. Instrument latency, drift, bias, and cost dashboards; automate rollback policies. Experimentation & Optimisation Run A/B and multivariate tests comparing embedding cohorts against legacy segmentation; analyse lift in repayment or engagement. Iterate on quantisation, distillation, and batching to hit strict cost-latency SLAs. Collaboration & Knowledge-sharing Work hand-in-hand with Product & Data Strategy to translate cohort insights into actionable product features. Key Requirements 5–8 years of hands-on ML engineering / NLP experience; at least 2 years deploying transformer-based models in production. Demonstrated ownership of pipelines processing ≥100 million events per month. Deep proficiency in Python, PyTorch/TensorFlow, Hugging Face ecosystem, and SQL on cloud warehouses. Familiar with vector databases and RAG architectures. Working knowledge of credit-risk or high-volume messaging platforms is a plus. Degree in CS, EE, Statistics, or related; Tech Stack You’ll Drive Model & Serving – PyTorch, Hugging Face, Triton, BentoML Data & Orchestration – Airflow, Spark/Flink, Kafka Vector & Storage – Qdrant/Weaviate, S3/GCS, Parquet/Iceberg Cloud & Infra – AWS (EKS, SageMaker) Monitoring – Prometheus, Loki, Grafana What We Offer Opportunity to shape the future of unsecured lending in emerging markets Competitive compensation package Professional development and growth opportunities Collaborative, innovation-focused work environment Comprehensive health and wellness benefits Location & Work Model Immediate joining possible Work From Office only Based in Gurugram, Sector 65 Kindly share your updated profile with us at careers@datacultr.com to guide you further with this opportunity. ----- END ----- Show more Show less

Company: Whatmaction Location: Ahmedabad (On-site) About the Opportunity: Are you a fresh graduate ready to take your skills to the next level with real AI and ML work — not just tutorials? Whatmaction is offering an exclusive opportunity to join us as an AI/ML Solution Engineer Intern , where you will be part of an elite training and development program designed to shape you into a high-performing tech professional. If you’re ready to build AI models from scratch and take on challenges like a tech soldier — this is for you. What You’ll Experience: 8 Months of Intense Training Think of it as a military-grade bootcamp for your brain — hands-on learning, projects, deadlines, and AI model development. Real-World AI/ML Projects Work closely with senior engineers to build production-grade AI/ML solutions. Deep Tech Exposure: Resume parsers, NLP applications, AI chatbots, ML-based automation systems, and more. Post-Training Commitment: 1.5-year bond after training — to work with us on exciting projects and gain incredible industry experience. Key Skills & Technologies: Languages: Python (strong foundation required) Libraries & Tools: SpaCy, scikit-learn, TensorFlow/PyTorch (preferred), Pandas, NumPy Core Concepts: Machine Learning Algorithms Natural Language Processing (NLP) Data Preprocessing & Feature Engineering Model Evaluation & Tuning Bonus Skills (Good to Have): Exposure to OpenAI APIs REST APIs and backend basics Git & Version Control Who Should Apply? Fresh graduates (2023–2025 pass-outs) from B.Tech/MCA/BCA or similar backgrounds. You have strong problem-solving skills and a passion for learning. You are committed to completing an intensive training and the post-training bond. You’re not just looking for a job — you want to build things with impact. Are You Ready for the Challenge? This is not a regular internship. It’s a transformative opportunity to build a real AI career from the ground up. 📩 Send your resume to: hr@whatmaction.com 📍 Location: Ahmedabad (Office-based only) Show more Show less

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places – all in a day’s work! MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. Act as the lead technical software developer in a small Agile team delivering solutions onsite for customers focused on migrating one of the customer’s legacy relational database based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects Innovate new development processes, technologies, and project approaches as they evolve, especially from emerging GenAI capabilities Participates as the lead software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB Expand migration playbooks where applicable and invigorate the team to be prepared to innovate, filling in gaps with creative solutions to solve challenges on each specific project, using experience to prioritise the best ideas Actively drive the technical part of sprint grooming, planning, and showcases alongside the project manager, providing ideas, suggestions and guidance to the rest of the team Provide technical direction to the team and partner with the project manager on projects to drive them to a successful conclusion. This includes managing technical challenges and risks and identifying mitigation strategies Study the current state of each legacy application, the desired target state outlined by the customer, and drive the technical planning, design and solution to get from source state to target state on each project Be prepared to change direction on projects, if customer or account team priorities change, and act in a way that brings the rest of the team with you on this direction change Face-off to lead technical personnel on the customer side to resolve issues and identify solutions Requirements 10+ years of experience working as a software developer, with 3+ years of experience as a technical lead Strong proficiency in Java Some experience and knowledge of Python or JavaScript/Node.js Strong experience in building applications that interact with relational databases using SQL Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines and using Git version control Proven experience in leading software/application development projects Able to provide technical direction and authority to the whole delivery team (to developers, the project manager and other customer and executive stakeholders) Strong written, verbal and presentation skills when collaborating with team members and external stakeholders within the wider MongoDB organization and the customer’s organization Strong strategic thinking capabilities to understand and align technical work with business goals Ability to travel and work on customer sites for a number of continuous weeks Nice-to-have skills Working knowledge of microservices architectures and Domain-Driven Design approaches Some experience and knowledge of ORMs like Hibernate or JPA Extra bonus skills (if missing, we will provide rapid onboarding enablement on these) Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs Practical experience of using MongoDB Successful candidates will engage with customer systems and may be exposed to highly confidential customer data, including but not limited to non-public information. For this reason, and due to the nature of the highly regulated industry in which our customers operate, successful candidates may be subject to enhanced background checks, security screenings, and possible constraints around the trading of securities. Successful candidates will understand these requirements and be willing to participate in enhanced screenings and constraints as required by MongoDB and its customers in connection with this role. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 3252966412 Show more Show less

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places – all in a day’s work! MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. Act as the lead technical software developer in a small Agile team delivering solutions onsite for customers focused on migrating one of the customer’s legacy relational database based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects Innovate new development processes, technologies, and project approaches as they evolve, especially from emerging GenAI capabilities Participates as the lead software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB Expand migration playbooks where applicable and invigorate the team to be prepared to innovate, filling in gaps with creative solutions to solve challenges on each specific project, using experience to prioritise the best ideas Actively drive the technical part of sprint grooming, planning, and showcases alongside the project manager, providing ideas, suggestions and guidance to the rest of the team Provide technical direction to the team and partner with the project manager on projects to drive them to a successful conclusion. This includes managing technical challenges and risks and identifying mitigation strategies Study the current state of each legacy application, the desired target state outlined by the customer, and drive the technical planning, design and solution to get from source state to target state on each project Be prepared to change direction on projects, if customer or account team priorities change, and act in a way that brings the rest of the team with you on this direction change Face-off to lead technical personnel on the customer side to resolve issues and identify solutions Requirements 10+ years of experience working as a software developer, with 3+ years of experience as a technical lead Strong proficiency in Java Some experience and knowledge of Python or JavaScript/Node.js Strong experience in building applications that interact with relational databases using SQL Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines and using Git version control Proven experience in leading software/application development projects Able to provide technical direction and authority to the whole delivery team (to developers, the project manager and other customer and executive stakeholders) Strong written, verbal and presentation skills when collaborating with team members and external stakeholders within the wider MongoDB organization and the customer’s organization Strong strategic thinking capabilities to understand and align technical work with business goals Ability to travel and work on customer sites for a number of continuous weeks Nice-to-have skills Working knowledge of microservices architectures and Domain-Driven Design approaches Some experience and knowledge of ORMs like Hibernate or JPA Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs Practical experience of using MongoDB Successful candidates will engage with customer systems and may be exposed to highly confidential customer data, including but not limited to non-public information. For this reason, and due to the nature of the highly regulated industry in which our customers operate, successful candidates may be subject to enhanced background checks, security screenings, and possible constraints around the trading of securities. Successful candidates will understand these requirements and be willing to participate in enhanced screenings and constraints as required by MongoDB and its customers in connection with this role. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Show more Show less

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places – all in a day’s work! MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. Act as the lead technical software developer in a small Agile team delivering solutions onsite for customers focused on migrating one of the customer’s legacy relational database based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects Innovate new development processes, technologies, and project approaches as they evolve, especially from emerging GenAI capabilities Participates as the lead software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB Expand migration playbooks where applicable and invigorate the team to be prepared to innovate, filling in gaps with creative solutions to solve challenges on each specific project, using experience to prioritise the best ideas Actively drive the technical part of sprint grooming, planning, and showcases alongside the project manager, providing ideas, suggestions and guidance to the rest of the team Provide technical direction to the team and partner with the project manager on projects to drive them to a successful conclusion. This includes managing technical challenges and risks and identifying mitigation strategies Study the current state of each legacy application, the desired target state outlined by the customer, and drive the technical planning, design and solution to get from source state to target state on each project Be prepared to change direction on projects, if customer or account team priorities change, and act in a way that brings the rest of the team with you on this direction change Face-off to lead technical personnel on the customer side to resolve issues and identify solutions Requirements 10+ years of experience working as a software developer, with 3+ years of experience as a technical lead Strong proficiency in Java Some experience and knowledge of Python or JavaScript/Node.js Strong experience in building applications that interact with relational databases using SQL Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines and using Git version control Proven experience in leading software/application development projects Able to provide technical direction and authority to the whole delivery team (to developers, the project manager and other customer and executive stakeholders) Strong written, verbal and presentation skills when collaborating with team members and external stakeholders within the wider MongoDB organization and the customer’s organization Strong strategic thinking capabilities to understand and align technical work with business goals Ability to travel and work on customer sites for a number of continuous weeks Nice-to-have skills Working knowledge of microservices architectures and Domain-Driven Design approaches Some experience and knowledge of ORMs like Hibernate or JPA Extra bonus skills (if missing, we will provide rapid onboarding enablement on these) Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs Practical experience of using MongoDB Successful candidates will engage with customer systems and may be exposed to highly confidential customer data, including but not limited to non-public information. For this reason, and due to the nature of the highly regulated industry in which our customers operate, successful candidates may be subject to enhanced background checks, security screenings, and possible constraints around the trading of securities. Successful candidates will understand these requirements and be willing to participate in enhanced screenings and constraints as required by MongoDB and its customers in connection with this role. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Show more Show less

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places – all in a day’s work! MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. Act as the lead technical software developer in a small Agile team delivering solutions onsite for customers focused on migrating one of the customer’s legacy relational database based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects Innovate new development processes, technologies, and project approaches as they evolve, especially from emerging GenAI capabilities Participates as the lead software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB Expand migration playbooks where applicable and invigorate the team to be prepared to innovate, filling in gaps with creative solutions to solve challenges on each specific project, using experience to prioritise the best ideas Actively drive the technical part of sprint grooming, planning, and showcases alongside the project manager, providing ideas, suggestions and guidance to the rest of the team Provide technical direction to the team and partner with the project manager on projects to drive them to a successful conclusion. This includes managing technical challenges and risks and identifying mitigation strategies Study the current state of each legacy application, the desired target state outlined by the customer, and drive the technical planning, design and solution to get from source state to target state on each project Be prepared to change direction on projects, if customer or account team priorities change, and act in a way that brings the rest of the team with you on this direction change Face-off to lead technical personnel on the customer side to resolve issues and identify solutions Requirements 10+ years of experience working as a software developer, with 3+ years of experience as a technical lead Strong proficiency in Java Some experience and knowledge of Python or JavaScript/Node.js Strong experience in building applications that interact with relational databases using SQL Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines and using Git version control Proven experience in leading software/application development projects Able to provide technical direction and authority to the whole delivery team (to developers, the project manager and other customer and executive stakeholders) Strong written, verbal and presentation skills when collaborating with team members and external stakeholders within the wider MongoDB organization and the customer’s organization Strong strategic thinking capabilities to understand and align technical work with business goals Ability to travel and work on customer sites for a number of continuous weeks Nice-to-have skills Working knowledge of microservices architectures and Domain-Driven Design approaches Some experience and knowledge of ORMs like Hibernate or JPA Extra bonus skills (if missing, we will provide rapid onboarding enablement on these) Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs Practical experience of using MongoDB Successful candidates will engage with customer systems and may be exposed to highly confidential customer data, including but not limited to non-public information. For this reason, and due to the nature of the highly regulated industry in which our customers operate, successful candidates may be subject to enhanced background checks, security screenings, and possible constraints around the trading of securities. Successful candidates will understand these requirements and be willing to participate in enhanced screenings and constraints as required by MongoDB and its customers in connection with this role. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Requisition ID 2252923632 Show more Show less

Role Overview We're looking for a talented Machine Learning Engineer with 3+ years of experience to join our growing AI team. This role will play a central part in developing our real-time feedback engine, integrating and fine-tuning LLMs, and spearheading the training and deployment of custom and small language models (SLMs). Key Responsibilities Build and deploy scalable real-time inference systems using FastAPI and AWS. Fine-tune and integrate large language models (LLMs) like Claude 3.5 Sonnet via Amazon Bedrock. Lead or contribute to the training, fine-tuning, and evaluation of proprietary Small Language Models (SLMs). Build ML pipelines for preprocessing multimodal data (audio, transcript, slides). Collaborate with backend, design, and product teams to bring intelligent features into production. Optimize models for speed, efficiency, and edge/cloud deployment. Contribute to MLOps infrastructure for versioning, deployment, and monitoring of models. Required Qualifications 3+ years of experience in applied ML, including model deployment and training. Strong proficiency in Python, PyTorch, Transformers, and model training frameworks. Experience deploying APIs using FastAPI and integrating models in production. Experience fine-tuning LLMs (e.g., OpenAI, Claude, Mistral) and SLMs for specific downstream tasks. Familiarity with AWS services (S3, Bedrock, Lambda, SageMaker). Strong grasp of data pipelines, performance metrics, and model evaluation. Comfort working with multimodal datasets (text, audio, visual). Bonus Points Experience with Whisper, TTS systems (e.g., Polly), or audio signal processing. Background in building or fine-tuning SLMs for performance-constrained environments. Familiarity with MLOps tooling (MLflow, Weights & Biases, DVC). Experience with Redis, WebSockets, or streaming data systems. Perks and Benefits Attractive remuneration (competitive with market, based on experience and potential). Fully remote work – we’re a truly distributed team. Flexible working hours – we value output over clocking in. Health & wellness perks, learning stipends, and regular team retreats. Opportunity to work closely with passionate founders and contribute from Day 1. Be a core part of a fast-growing, high-impact startup with a mission to transform education. We look forward to receiving your application! Show more Show less

Key Responsibilities Develop a backend pipeline to ingest, profile, and assess client asset data files. Implement data profiling and data quality checks using appropriate libraries and frameworks. Integrate LLM-based assessments by calling APIs (e.g., OpenAI, Azure AI). Optimize processing for large datasets with efficient workflows. Collaborate with front-end developers, data quality teams, and business stakeholders. Ensure security and compliance in handling client data. Maintain scalability and performance in cloud or on-prem infrastructure. Required Skills & Experience 5+ years of experience in backend development , focusing on data processing and API integration. Strong Python skills, with experience in Pandas, PySpark, or similar libraries for handling large datasets. Proficiency in SQL and experience with PostgreSQL, Snowflake, or MS SQL Server. Experience integrating with LLM APIs (e.g., OpenAI, Azure AI) for text-based analysis. Hands-on experience with RESTful APIs and authentication methods (OAuth, API keys). Strong understanding of data quality and profiling techniques. Knowledge of Docker and containerized deployments. Nice-to-Have Skills Experience with Apache Airflow for workflow orchestration. Exposure to cloud platforms (AWS, Azure, GCP) for scalable backend development. Experience with vector databases and embedding-based retrieval (e.g., Pinecone, Weaviate). Familiarity with LLM fine-tuning or prompt engineering. Success Metrics Successful implementation of the automated data profiling and LLM-based assessment pipeline. Scalability and efficiency in processing large client data files. Accurate and meaningful AI-driven assessments delivered via API calls. On-time delivery of backend features in coordination with the front-end team. Show more Show less

Design, develop, and maintain scalable and efficient Python applications. Collaborate with cross-functional teams to define software requirements. Write clean, maintainable, and efficient code. Conduct unit testing, integration testing, and performance testing. Design concurrent and scalable systems with a focus on asynchronous programming. Programming Languages: Excellent proficiency in Python. Frameworks: Proficient in FastAPI; experience with Flask or Django is acceptable. Containerization & Orchestration: Advanced knowledge of Kubernetes and Docker; experience with Helm and Docker Compose. Cloud Expertise: Expertise in using Microsoft Azure cloud computing services, the Azure AI suite of tools for intelligence applications a plus. DevOps Tools: Expertise in Azure DevOps for CI/CD pipelines. Version Control: Knowledge of version control systems (e.g., Git). Scripting: Advanced experience with batch scripting, shell scripting, or PowerShell. Security: In-depth knowledge of OAuth, Okta, and Auth0; experience with RBAC in AKS. Database Systems: Experience with SQL and NoSQL databases (e.g., PostgreSQL, SQL Server, Snowflake). Web Technologies: Familiarity with front-end technologies (HTML, CSS, JavaScript). APIs: Understanding of RESTful APIs and web services. API Observability: Knowledge of tools like Grafana, Prometheus, OpenTelemetry, Tempo, and Loki. Testing Frameworks: Familiarity with testing frameworks (e.g., PyTest, Unittest). CI/CD Practices: Familiarity with CI/CD pipelines and DevOps practices. Data Analysis: Experience in data analysis or machine learning is a plus. Generative AI: Good to have understanding of Generative AI and proficiency in Langchain, LlamaIndex, or OpenAI Python SDK. Show more Show less

Sr. GenAI Engineer – Manager Role Overview: As a Sr. GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI & engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support. Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications: § A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. § Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations, etc. § 10-13 years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc. § Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. § Strong understanding and experience in managing big data of various forms to generate insights and create intelligence. § Proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL. § Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. § Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. § Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Work Location: Hyderabad Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303075

We are seeking a talented and passionate Full-Stack Engineer to join our growing team. This is a pivotal role where you'll be instrumental in developing and scaling our core platform, from robust backend services to intuitive front-end experiences, with a strong focus on AI integration and data pipelines. If you thrive in a fast-paced startup environment, are excited by the intersection of wellness, AI, and wearable technology, and want to make a tangible impact on user well-being, we want to hear from you. What You'll Do: Design, develop, and maintain scalable full-stack applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). Build and optimize APIs to support data flow between our smart ring, mobile app, integrated third-party wearables, and our backend systems. Implement and manage integrations with AI models (e.g., OpenAI's API) for features like health, fitness, and wellness scoring, and our Health AI Assistant. Work closely with data scientists and AI specialists to integrate AI models into the product and optimize data pipelines for AI processing. Develop user-facing features and improve the overall user experience of our web and mobile platforms. Contribute to database design and optimization for handling large volumes of wellness data. Ensure the security, reliability, and performance of our platform. Participate in code reviews, testing, and deployment processes. Collaborate with product, design, and other engineering teams to define requirements and deliver innovative solutions. What We're Looking For: Proven senior level experience in full-stack development using the MERN stack (MongoDB, Express.js, React.js, Node.js). Demonstrable experience or strong understanding of AI model integration (e.g., consuming APIs from OpenAI or other AI services). Solid understanding of RESTful APIs, microservices architecture, and asynchronous programming. Proficiency in JavaScript/TypeScript. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Familiarity with database management (MongoDB, potentially others). Experience with version control systems (Git). Strong problem-solving skills and an ability to troubleshoot complex issues. Excellent communication and collaboration skills. Passion for health, wellness, and wearable technology. Prior experience in a startup environment is a bonus. Why Join Pi Ring? Pi Ring is VC backed with a solid growth trajectory. Be a core part of a startup shaping the future of AI-driven wellness. Work on a cutting-edge product that directly impacts people's health and well-being. Opportunity to work across the full stack and integrate exciting AI technologies. Collaborate with a passionate and supportive founding team. Flexible working arrangements. Show more Show less

Job Description We are seeking a talented Generative AI Developer to join our team and build cutting-edge generative models. The ideal candidate will work on developing AI systems that can create innovative, human-like content, ranging from natural language generation (NLG), image generation, and even video or music synthesis. The candidate requires to carry expertise in machine learning, deep learning, and natural language processing (NLP), as well as an understanding of specific generative models like GPT, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), or other types of neural networks. Responsibilities Develop and fine-tune generative models using techniques like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Transformers, Diffusion models, etc. Work on tasks such as text generation, image generation, music or sound generation, video creation, and other creative AI applications. Design, build, and deploy models using frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. Optimize AI models for performance, accuracy, and scalability in real-world production environments. Research and stay updated on the latest trends, papers, and breakthroughs in generative AI. Collaborate with other teams (data scientists, machine learning engineers, product teams) to integrate models into production systems. Work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Document your code, process, and model outputs for team-wide visibility and knowledge sharing. Required Qualifications & Skills Bachelor's or Master's degree in Computer Science or related fields. 3-4 years of hands-on experience in developing Generative AI solutions Strong understanding of deep learning algorithms, especially in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. Experience working with neural networks, unsupervised learning, and natural language processing (NLP). Strong programming skills in Python, including deep learning libraries (e.g., TensorFlow, Keras, PyTorch). Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. Strong mathematical and statistical knowledge, particularly in probability theory, linear algebra, and optimization. Experience in large-scale model training, fine-tuning, or distributed computing. Knowledge of reinforcement learning (RL) and self-supervised learning. Familiarity with AI ethics, bias mitigation, and interpretability in generative models. Show more Show less

Job Description We are looking for a motivated and enthusiastic individual with strong knowledge of Microsoft Copilot solutions, including Copilot Studio, Copilot in Teams, Copilot in Microsoft 365 , and awareness of Azure AI, Power Apps, Power Automate, and Power BI . This role is ideal for someone who stays up-to-date with the latest Microsoft AI technologies and has the drive to learn and apply these in real-world business solutions. This role will focus on client requirement gathering, POC development, project delivery, demo solution creation, and mentoring internal team members to strengthen Copilot capabilities across the organization. Responsibilities Collaborate directly with clients to gather requirements, understand business needs, and propose Copilot-based solutions. Design, develop, and deliver Proof of Concepts (POCs) and full-scale solutions using Microsoft Copilot technologies. Build and present demo solutions showcasing the capabilities of Copilot Studio, Teams Copilot, M365 Copilot, and Azure/OpenAI integrations. Lead and manage end-to-end Copilot project delivery ensuring quality, timelines, and client satisfaction. Act as a mentor and guide for internal teams by conducting training sessions and knowledge sharing on Copilot-related tools and best practices. Stay updated on the latest releases, enhancements, and best practices in Microsoft's Copilot ecosystem. Assist in developing internal assets, accelerators, and reusable components related to Copilot automation and AI solutions. Work closely with pre-sales teams to assist in solutioning and technical proposal creation for Copilot-related opportunities. Required Skills & Qualifications Knowledge of Copilot Studio (basic to intermediate understanding of building copilots using low-code interface). Familiarity with Copilot in Teams and M365 and their usage scenarios. Exposure to Power Platform components (Power Apps, Power Automate, Power BI). Understanding of Azure AI/ML services, especially those related to LLMs and document intelligence, is a plus. Excellent communication and documentation skills. Willingness to learn and grow in a fast-paced AI-driven development environment. Preferred Qualifications Microsoft certifications in Power Platform, Azure AI, or Copilot (where available) are a plus. Experience working in PreSales, client discussions, or solutioning is a plus. Exposure to Copilot use cases in HR, Finance, or IT operations is desirable. Soft Skills Excellent communication and presentation skills. Strong organizational and documentation skills. Team player attitude with a proactive mindset towards learning and growth. Show more Show less

Job Description We are seeking an experienced MERN (MongoDB, Express.js, React, and Node.js) Stack Developer who possesses a strong background in web development along with proficiency in AWS, Docker, and OpenAI. The ideal candidate will play a pivotal role in designing and implementing innovative web applications and integrating AI-powered features into our products. Responsibilities Develop and maintain high-quality web applications using the MERN stack. Collaborate with designers and other developers to create intuitive user interfaces. Design and implement efficient database schemas in MongoDB. Write server-side logic using Node.js and Express.js. Craft responsive and engaging front-end components using React. Integrate third-party APIs and libraries seamlessly into our applications. Ensure the security and privacy of user data. Proficient understanding of code versioning tools (SVN, Git, and VSS) Familiarity with cloud message APIs and push notifications Benchmarking and optimisation Collaborate with cross-functional teams to design and implement user-friendly interfaces. Integrate AI and natural language processing capabilities using OpenAI technologies. Deploy applications on AWS cloud infrastructure, ensuring scalability and reliability. Containerize applications using Docker for efficient deployment and scaling. Write clean, maintainable, and well-documented code. Troubleshoot and resolve technical issues as they arise. Stay up-to-date with emerging technologies and industry trends. Participate in code reviews and provide constructive feedback to team members. Qualifications Bachelor's degree in computer science or a related field (or equivalent work experience) Proven experience as a MERN Stack Developer, with a strong portfolio showcasing web applications you have developed Expertise in MongoDB, Express.js, React, and Node.js Proficiency in AWS services, including EC2, S3, Lambda, and CloudFormation Experience with containerization and orchestration using Docker and Kubernetes. Familiarity with natural language processing and AI technologies, particularly OpenAI Solid understanding of RESTful API design and best practises. Strong problem-solving and debugging skills. Excellent teamwork and communication skills. Self-motivated and able to work independently. Show more Show less

Job Summary: We are looking for highly motivated and analytical Machine Learning Engineers with 1–3 years of experience in building scalable, production-ready AI/ML models. This role involves working on complex business problems using advanced ML/DL techniques across domains such as Natural Language Processing (NLP), Computer Vision, Time Series Forecasting, and Generative AI. You will be responsible for end-to-end model development, deployment, and performance tracking while collaborating with cross-functional teams including data engineering, DevOps, and product. Location: Noida / Gurugram / Indore / Bengaluru / Pune / Hyderabad Experience: 1–3 Years Education: BE / B.Tech / M.Tech / MCA / M.Com Key Responsibilities: Model Development & Experimentation Design and build machine learning models for NLP, computer vision, and time series prediction using supervised, unsupervised, and deep learning techniques. Conduct experiments to improve model performance via architectural modifications, hyperparameter tuning, and feature selection. Apply statistical analysis to validate and interpret model results. Evaluate models using appropriate metrics (e.g., accuracy, precision, recall, F1-score, AUC-ROC). Data Handling & Feature Engineering Process large structured and unstructured datasets using Python, Pandas, and DataFrame APIs. Perform feature extraction, transformation, and selection tailored to specific ML problems. Implement data augmentation and enrichment techniques to enhance training quality. Model Deployment & Productionization Deploy trained models to production environments using cloud platforms such as AWS (especially SageMaker). Containerize models using Docker and orchestrate deployments with Kubernetes. Implement monitoring, logging, and automated retraining pipelines for model health tracking. Collaboration & Innovation Collaborate with data engineers and architects to ensure smooth data flow and infrastructure alignment. Explore and adopt cutting-edge AI/ML methodologies and GenAI frameworks (e.g., LangChain, GPT-3). Contribute to documentation, versioning, and knowledge-sharing across teams. Drive innovation and continuous improvement in AI/ML delivery and engineering practices. Mandatory Technical Skills: Languages & Tools: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) Model Development: Deep Learning, NLP, Time Series, Computer Vision Cloud Platforms: AWS (especially SageMaker) Model Deployment: Docker, Kubernetes, REST APIs ML Ops: Model monitoring, performance logging, CI/CD Frameworks: LangChain (for GenAI), Transformers, Hugging Face Preferred / Good to Have: Experience with Foundation Model tuning and prompt engineering Hands-on with Generative AI (GPT-3/4, OpenAI APIs, LangChain integrations) Certifications: AWS Certified Machine Learning – Specialty Experience with version control (Git), and experiment tracking tools (MLflow, Weights & Biases) Soft Skills: Excellent communication and presentation abilities Strong analytical and problem-solving mindset Ability to work in collaborative, fast-paced environments Curiosity to learn emerging technologies and apply them to real-world problems Show more Show less

Job Summery: We are seeking an innovative AI Engineer to develop and integrate AI assistants and automation with auto-trading systems. The ideal candidate has strong expertise in Generative AI, LLMs, NLP, and conversational AI. Responsibilities include designing NLP-powered agents, building AI-driven trading automation, fine-tuning models, creating trade-execution scripts, ensuring system reliability, and collaborating with backend and quantitative teams for seamless trade execution. key accountabilities and activities: Design and fine-tune generative AI models and LLMs for conversational agents and workflows. Develop and maintain intelligent financial chatbots with multi-turn, context-aware conversations. Optimize prompt engineering and dialogue management to improve output quality and safety. Build NLP pipelines for tasks like classification, entity extraction, and sentiment analysis. Create autonomous AI agents and microservices for automated trading workflows. Collaborate with quantitative analysts and backend teams to integrate AI signals with trade execution. Integrate AI features via APIs across various backend systems. Monitor, optimize, and implement fail-safes for AI models and trading automation. Perform rigorous testing and quality assurance, including rollback plans. Research and apply latest AI and fintech innovations. Perform additional duties as assigned by management. Core Competencies Summary: Expertise in designing, fine-tuning, and deploying Large Language Models (e.g., GPT-3/4) and generative AI frameworks. Skilled in prompt engineering to optimize AI responses, especially for financial applications. Experience building conversational AI/chatbots with domain-specific knowledge. Proficient in NLP techniques: classification, entity extraction, sentiment analysis, intent detection. Familiar with AI agent frameworks and orchestration tools (LangChain, Rasa). Strong backend and API integration skills (REST, GraphQL) across Python, Node.js, Java. Experience with cloud AI platforms (OpenAI, Anthropic, AWS, Google Vertex AI). Knowledge of vector databases and retrieval augmented generation (Pinecone, FAISS). Skilled in monitoring, performance optimization, and AI model testing/QA. Research-driven, staying updated on AI/NLP trends and innovations. Excellent communication and collaboration abilities. Advanced proficiency in English. Job Specifications: Industry/Domain: AI & Machine Learning in Capital Markets and Trading Automation Experience: Multilingual/low-resource NLP, DevOps tools, AI deployment, ethical AI, prompt security, data privacy Education: Bachelor’s or Master’s in Computer Science, AI, Machine Learning, Data Science, or related field Show more Show less

Job Summary: We are seeking a Senior Data Scientist with expertise in Generative AI and Natural Language Processing (NLP) to join our dynamic team. The ideal candidate will have at least 3years of experience in applying advanced Data science techniques to solve complex problems and drive innovation. You will work on cutting-edge projects that leverage AI to enhance our products and services, collaborating with cross-functional teams to deliver impactful solutions. What You'll Be Working On: 1. Develop and implement state-of-the-art generative AI models, focusing on NLP applications. 2. Analyze and preprocess large datasets to extract meaningful insights and improve model performance. 3. Collaborate with product managers, engineers, and other stakeholders to define project requirements and deliverables. 4. Design and conduct experiments to validate models, analyze results, and refine algorithms. 5. Mentor junior data scientists and contribute to building a collaborative team culture. 6. Stay updated with the latest advancements in AI and NLP, applying best practices and innovative approaches to your work. 7. Communicate complex technical concepts to non-technical stakeholders effectively. 8. Strong Python skills and hands-on experience with LangChain, LangGraph, and OpenAI/Anthropic APIs Qualifications: 1. Minimum of 3years of experience in data science, with a strong focus on Generative AI and NLP. 2. Proficiency in programming languages such as Python, and experience with relevant libraries. 3. Strong understanding of machine learning algorithms, deep learning architectures, and NLP techniques. 4. Excellent problem-solving skills and a strong analytical mindset. 5. Ability to work independently and collaboratively in a fast-paced environment. 6. Strong communication skills, with the ability to convey complex ideas to diverse audiences. Send your resume to Vibha@xaigi.tech Show more Show less

Location: Remote Type: Full-Time, Founding Team Compensation: Equity + Early Salary (negotiable) Product: Goddo — Your Kid’s Smartest Friend Stage: Working Prototype to Production 🌱 About Goddo Goddo is a voice-only AI companion built for kids, not screens . It’s playful, thoughtful, and lives in a magical little device kids can talk to. A real friend powered by AI. We’ve already built the first prototype. It includes working ESP32 firmware , a WebSocket-based backend in Node.js , and a Flutter app for parents . Now we need someone to make it stable, scalable, and production-ready . This is not just another job. It should be your ikigai — the kind of work that aligns with what you love, what you’re great at, what the world needs, and what you’d proudly sign your name to at launch . 🛠️ What You’ll Own Stabilize and polish everything that exists: ESP32 firmware ( currently Arduino-based , with the option to migrate to ESP-IDF ) Node.js backend ( WebSocket streaming , real-time audio pipelines) Flutter-based parents’ app Eliminate bugs and edge-case failures Reduce latency, memory issues, and reconnection failures in all systems Help manage I2S audio flow , buffer logic, and real-time interaction Switch between Arduino and ESP-IDF based on performance needs Optimize the AI backend integration and improve session and memory handling Write clean, well-documented code others can follow and improve on 💡 What You Value You take pride in your craft and believe your code should be strong enough to carry your name You want to build something that works so well it disappears into the experience You don’t cut corners and don’t settle for “good enough” You believe in using AI tools like ChatGPT, Claude, Copilot, or Replit to build faster and smarter You want to build for children and understand the care and responsibility that comes with it You enjoy clean architecture, async systems, real-time data flows , and solving problems at the root 🧰 Technical Stack We Use ESP32 : Arduino for now, ESP-IDF for performance-critical upgrades Node.js backend : WebSocket, audio chunking, Firebase Flutter : iOS & Android mobile app for parents Firestore , Google Cloud Run AI providers : Millis AI, OpenAI TTS and STT systems with real-time voice-to-voice pipelines ✨ Bonus If You’ve Worked With BLE pairing and OTA firmware updates WebSockets for real-time data exchange Voice-to-voice APIs (real-time STT plus streaming TTS) Audio buffering , circular memory models, I2S audio management OpenAI, Gemini, Deepgram, Sarvam , or Millis AI APIs AI-based session memory or personalization logic Apps or devices built for kids, education , or parenting tools 🎯 Why This Role Matters You’re not building another app. You’re building something that sits in the hands of children , responds to their curiosity, and earns parents’ trust . Every line of code affects whether Goddo feels magical or broken. This is not a feature factory. This is craftsmanship . 🚀 Why Join Goddo You’ll be on the founding team , helping define the technical culture from day one You’ll work directly with the founder who has built the first version end to end You’ll get to build something delightful, safe, and emotionally intelligent You’ll ship work that directly improves a child’s experience of technology You’ll grow with a product that has the potential to reach millions of families 📬 How to Apply Send a short intro to hi@hellogoddo.com with: Why Goddo speaks to you GitHub, project links, or anything that shows your work Your favorite childhood toy or memory Show more Show less

Company Description KreateWebsites.com is a transformative AI-first platform that reimagines how websites and web apps are built. Powered by Large Language Models (LLMs) , Generative AI , and Agentic AI , KreateWebsites removes the need for manual development, rigid templates, and database-heavy systems. Instead of coding or using drag-and-drop builders, users simply provide content — from text files, documents, slides, or images — and the platform’s AI engine does the rest. In minutes, KreateWebsites generates clean, fast-loading HTML websites and apps that are SEO-optimized , responsive , and ready for launch. Role Description If you are a web developer, you have the best opportunity to do excellent work in redefining website development by working on an industry-transformative product — KreateWebsites. KreateWebsites.com is not another website builder. We are reinventing how websites are created, using Generative AI and intelligent agents to automatically build fast, SEO-optimized HTML sites from your content — no templates, no databases, no bloat. You’ll work at the intersection of modern web technologies and AI, helping creators, startups, and businesses build better, smarter, and faster websites than ever before. Qualifications Experience in Node.js, React, ASP.NET Experience with headless CMSs or custom CMS integrations Familiarity with Generative AI APIs (OpenAI, Gemini, Claude) Proficiency in Back-End Web Development skills Experience in Front-End Development and Web Design Strong Web Development and Programming skills Excellent problem-solving and communication skills Ability to work independently and remotely Familiarity with AI and data engineering concepts is a plus Bachelor's degree in Computer Science, Information Technology, or related field Show more Show less

About Markovate. At Markovate, we dont just follow trendswe drive them. We transform businesses through innovative AI and digital solutions that turn vision into reality. Our team harnesses breakthrough technologies to craft bespoke strategies that align seamlessly with our clients' ambitions. From AI Consulting And Gen AI Development To Pioneering AI Agents And Agentic AI, We Empower Our Partners To Lead Their Industries With Forward-thinking Precision And Unmatched Overview We are seeking a highly experienced and innovative Senior Data Engineer with a strong background in hybrid cloud data integration, pipeline orchestration, and AI-driven data modelling. Requirements This role is responsible for designing, building, and optimizing robust, scalable, and production-ready data pipelines across both AWS and Azure platforms, supporting modern data architectures such as CEDM and Data Vault Requirements : 9+ years of experience in data engineering and data architecture. Excellent communication and interpersonal skills, with the ability to engage with teams. Strong problem-solving, decision-making, and conflict-resolution abilities. Proven ability to work independently and lead cross-functional teams. Ability to work in a fast-paced, dynamic environment and handle sensitive issues with discretion and professionalism. Ability to maintain confidentiality and handle sensitive information with attention to detail with discretion. The candidate must have strong work ethics and trustworthiness. Must be highly collaborative and team oriented with commitment to Responsibilities : Design and develop hybrid ETL/ELT pipelines using AWS Glue and Azure Data Factory (ADF). Process files from AWS S3 and Azure Data Lake Gen2, including schema validation and data profiling. Implement event-based orchestration using AWS Step Functions and Apache Airflow (Astronomer). Develop and maintain bronze ? silver ? gold data layers using DBT or Coalesce. Create scalable ingestion workflows using Airbyte, AWS Transfer Family, and Rivery. Integrate with metadata and lineage tools like Unity Catalog and Open Metadata. Build reusable components for schema enforcement, EDA, and alerting (e.g., MS Teams). Work closely with QA teams to integrate test automation and ensure data quality. Collaborate with cross-functional teams including data scientists and business stakeholders to align solutions with AI/ML use cases. Document architectures, pipelines, and workflows for internal stakeholders. Experience with cloud platforms: AWS (Glue, Step Functions, Lambda, S3, CloudWatch, SNS, Transfer Family) and Azure (ADF, ADLS Gen2, Azure Functions, Event Grid). Skilled in transformation and ELT tools: Databricks (PySpark), DBT, Coalesce, and Python. Proficient in data ingestion using Airbyte, Rivery, SFTP/Excel files, and SQL Server extracts. Strong understanding of data modeling techniques including CEDM, Data Vault 2.0, and Dimensional Modelling. Hands-on experience with orchestration tools such as AWS Step Functions, Airflow (Astronomer), and ADF Triggers. Expertise in monitoring and logging with CloudWatch, AWS Glue Metrics, MS Teams Alerts, and Azure Data Explorer (ADX). Familiar with data governance and lineage tools: Unity Catalog, OpenMetadata, and schema drift detection. Proficient in version control and CI/CD using GitHub, Azure DevOps, CloudFormation, Terraform, and ARM templates. Experienced in data validation and exploratory data analysis with pandas profiling, AWS Glue Data Quality, and Great to have: Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data and AI services. Knowledge of ETL tools and frameworks (e.g., Apache NiFi, Talend, Informatica). Deep understanding of AI/Generative AI concepts and frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs). Experience with data modeling, data structures, and database design. Proficiency with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka). Proficiency in SQL and at least one programming language (e.g., Python, it's like to be at Markovate : At Markovate, we thrive on collaboration and embrace every innovative idea. We invest in continuous learning to keep our team ahead in the AI/ML landscape. Transparent communication is keyevery voice at Markovate is valued. Our agile, data-driven approach transforms challenges into opportunities. We offer flexible work arrangements that empower creativity and balance. Recognition is part of our DNAyour achievements drive our success. Markovate is committed to sustainable practices and positive community impact. Our people-first culture means your growth and well-being are central to our mission. Location : hybrid model 2 days onsite. (ref:hirist.tech) Show more Show less

About The Job Job Title : Senior Software Developer Location : Mumbai Onsite Experience : 2-3 years Role Overview We are looking for a Senior Software Developer - Backend Focus who's passionate about building robust, scalable systems and pushing the boundaries of automation and AI-driven solutions. This role is perfect for someone who thrives in a fast-paced, collaborative environment and loves experimenting with the latest backend and AI technologies. Key Responsibilities Design, develop, and maintain scalable backend services using Node.js and Express. Work with PostgreSQL and MongoDB for efficient data modeling and storage. Build and integrate RESTful APIs to support web and mobile applications. Integrate and manage payment gateways like Stripe and Razorpay. Develop and deploy serverless functions using AWS Lambda. Set up and manage CI/CD pipelines for streamlined deployment. Collaborate with cross-functional teams to design and implement features. Implement intelligent automation using tools like Windsurf. Work on AI integrations using OpenAI, ChatGPT, Claude, etc. Design and optimize AI prompts for high-performing outputs. Handle prompt chaining, context management, and memory in AI integrations. You Are a Great Fit If You Have solid hands-on experience with Node.js, Express, and database systems. Understand how to build secure and optimized APIs. Have experience working with OpenAI APIs, especially in prompt engineering. Know how to integrate prompts into backend logic. Understand how to chain prompts, manage memory, and maintain AI context. Are familiar with tools like Windsurf or other automation platforms. Have experience deploying and scaling services on AWS. Can independently troubleshoot and optimize backend performance. Why Join Us ? Work at the intersection of travel and tech. Be part of a creative, people-driven culture where innovation is celebrated. Collaborate with teams building next-gen AI-powered travel experiences. If you're an enthusiastic developer who loves bringing ideas to life through code and AI, we'd love to hear from you! Come build the future of travel with us at Travelxp. (ref:hirist.tech) Show more Show less