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5.0 years

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Chennai, Tamil Nadu, India

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Key Responsibilities Design, develop, and maintain backend applications using Node.js, ensuring performance, scalability, and security. Build and integrate AI/ML models into applications to deliver intelligent and data-driven functionality. Leverage AWS cloud services including Lambda, SQS, and DynamoDB for building robust, scalable solutions. Work with Kubernetes for containerization and orchestration of microservices (preferred). Design and implement REST APIs and follow microservices architecture best practices. Collaborate with cross-functional teams including data scientists, frontend developers, and DevOps to deliver end-to-end solutions. Utilize and manage MySQL databases, ensuring optimal performance and data integrity. Optimize code and backend services for maximum performance and scalability. Debug and resolve application issues and bottlenecks. Participate in Agile development cycles, contributing to sprint planning, stand-ups, and retrospectives. Stay up-to-date with the latest trends in backend development, AI/ML, and cloud technologies. Mentor and support junior developers, offering technical guidance and code Skills & Qualifications : Minimum 5+ years of experience in backend development, primarily with Node.js. Proven experience in AI/ML integration, understanding model deployment and APIs. Hands-on experience with AWS services including Lambda, SQS, DynamoDB. Strong understanding of microservices architecture and RESTful API development. Experience working with MySQL, including database design, optimization, and Solid knowledge of containerization tools (Docker) and exposure to Kubernetes is a plus. Familiarity with CI/CD pipelines and DevOps practices is advantageous. Strong problem-solving skills, attention to detail, and ability to work in a collaborative environment. Excellent verbal and written communication skills. Ability to work in fast-paced, Agile development Qualifications : Hands-on experience with AI/ML tools/frameworks like TensorFlow, PyTorch, or Sci-kit Learn. Experience in deploying and scaling AI/ML services in cloud-based environments. Exposure to NoSQL databases (e.g., MongoDB) in addition to MySQL (ref:hirist.tech) Show more Show less

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2.0 years

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Mumbai Metropolitan Region

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Location: Goregaon, Mumbai About Segumento: Segumento is a fast-growing B2B SaaS company specializing in AI-driven solutions for audience targeting, first-party data enrichment, and location intelligence. We empower businesses with cutting-edge technology, enabling precise targeting and actionable insights. Our platform integrates with major channels like Meta, Google Ads, DV360, and offers seamless performance dashboards, custom audiences, and advanced enrichment solutions. Job Overview We are seeking a talented Presentation Specialist with a knack for crafting professional, visually engaging presentations that effectively communicate complex ideas. In this role, you will work closely with various teams, including sales, marketing, and product, to develop decks that align with our brand and business goals. Key Responsibilities Deck Creation: Design and develop high-quality, professional presentations for internal and external use, including sales pitches, product demos, and investor presentations. Content Development: Collaborate with subject matter experts to transform complex concepts into clear, compelling, and visually appealing slides. Brand Consistency: Ensure all presentations adhere to brand guidelines and maintain a consistent visual identity. Data Visualization: Create infographics, charts, and diagrams that clearly convey data and insights. Feedback Integration: Incorporate feedback from stakeholders to refine and perfect presentations. Collaboration: Work closely with sales, marketing, product, and executive teams to ensure presentations meet business objectives and resonate with target audiences. Required Qualifications Experience: 2+ years of experience in creating professional presentations. Experience with data visualization tools like Tableau or Power BI. Knowledge of video editing tools for incorporating multimedia elements into presentations. Utilize tools like PowerPoint, Keynote, Google Slides, etc. to create top-notch presentations. Familiarity with branding and marketing principles. Show more Show less

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2.0 years

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Chennai, Tamil Nadu, India

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Role : Software Developer Experience : 2- 5 yrs Location : and Duties : Design and develop AI solutions using machine learning (ML), deep learning (DL), and natural language processing (NLP) techniques. Collaborate with Tech team, Product Manager and stakeholders to identify AI-driven opportunities. Build and deploy predictive models, recommendation engines, and generative AI applications. Optimize AI algorithms for scalability, performance, and accuracy. Integrate AI systems with existing software platforms and workflows. Research and stay updated on advancements in AI, machine learning frameworks, and tools. Prepare and maintain technical documentation for AI projects. Conduct rigorous validation (testing & review) of AI models to ensure reliability and compliance with business requirements. Collaborate with stakeholders to implement CI/CD pipelines for AI model deployment. Provide training and support to end-users and teams for AI-powered : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 2+ years of experience in developing and deploying AI/ML solutions with overall 4 years of experience in relevant areas. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and tools like TensorFlow, PyTorch, scikit-learn, or similar. Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Knowledge of version control systems like Git. Certification in AI/ML technologies is a plus. Skills Strong analytical and problem-solving skills. Effective communication and teamwork capabilities. Proficiency in data visualization and interpretation tools. In-depth understanding of AI ethics and responsible AI principles. Ability to work in agile development environments. Attention to detail and adaptability to changing project requirements (ref:hirist.tech) Show more Show less

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8.0 years

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Noida, Uttar Pradesh, India

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Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. We are seeking a seasoned Engineering Manager to join our dynamic team. As a first-line manager, you will lead a team of talented engineers, driving technical excellence, fostering a culture of ownership, and ensuring the successful delivery of high-impact projects. You will be responsible for guiding technical decisions, managing team performance, and aligning engineering efforts with business goals. Responsibilities Technical Leadership: Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices. Be hands-on with code, maintaining high technical standards and actively participating in design and architecture decisions, code reviews, and helping engineers optimize their code. Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications. Ensure accountability for the team’s technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot). Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Implement best practices for operational excellence. Play a pivotal role in the R.I.D.E. (Review, Inspect, Decide, Execute) framework. Understand CI/CD pipelines from build, test, to deploy phases. Team Management Lead and manage a team of software engineers, fostering a collaborative and high-performance environment. Conduct regular performance reviews, provide feedback, and support professional development. Foster a culture of service ownership and enhance team engagement. Drive succession planning and engineering efficiency, focusing on quality and developer experience through data-driven approaches. Promote a growth mindset, understanding and driving organizational change. Actively seek opportunities for team growth and cross-functional collaboration. Works and guides the team on how to operate in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production. Coaching And Development Grow and develop the team technically and with a quality mindset, providing strong and actionable feedback. Provide technical mentorship and guidance to engineers at all levels, fostering a culture of learning, collaboration, and continuous improvement, encouraging the team to experiment, learn, and iterate on processes and technologies. Stay current with emerging technologies and industry trends, advocating for their adoption where appropriate to drive innovation and productivity within the team. Execution Excellence Oversee the planning, execution, and delivery of high-impact software projects, ensuring they are completed on time and within budget. Manage team workload and capacity, setting priorities and managing risks and tradeoffs. Align team efforts with the strategic direction of the company, understanding the big picture and business needs. Demonstrate engineering excellence and service ownership, including cost and quality management of services, and effective production management. Collaborate with cross-functional teams, including product management, design, and operations, to ensure alignment and successful delivery of projects. Communicate effectively with stakeholders at all levels. Make deployment decisions with appropriate risk mitigation. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 8+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role. Proven track record of leading and delivering large-scale, complex software projects. Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript. Extensive experience with software architecture and design patterns. Strong understanding of cloud technologies and DevOps principles. Excellent problem-solving skills and attention to detail. Excellent communication and leadership skills, with a demonstrated ability to influence and drive change. Preferred Qualifications Master’s degree or PhD in Computer Science, Engineering, or a related technical field. Experience with cloud platforms like Azure, AWS, or GCP. Familiarity with CI/CD pipelines and automation tools. Knowledge of agile development methodologies. Experience in a complex, matrixed organization. Demonstrated commitment to diversity and inclusion initiatives. Familiarity with developing accessible technologies. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com Show more Show less

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5.0 - 6.0 years

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Chennai, Tamil Nadu, India

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Job Title : AI Engineer (Generative AI) Experience : 5-6 years overall, with a minimum of 1.5 years in Generative AI Location : Delhi Job Type : Full-time About the Role: We are looking for an experienced AI Engineer with a strong background in artificial intelligence and machine learning, particularly in Generative AI. The ideal candidate will have a deep understanding of deep learning models, natural language processing, and large language models (LLMs). This role involves designing, developing, and deploying AI solutions, optimizing model performance, and integrating AI into real-world applications. Key Responsibilities Design, develop, and deploy AI/ML models, with a focus on Generative AI applications. Research and implement state-of-the-art techniques in generative modeling (GANs, VAEs, Transformers, Diffusion Models, etc.). Fine-tune and optimize large language models (LLMs) for specific tasks. Work with unstructured data, including text, images, and audio, to build multi-modal AI solutions. Develop scalable AI pipelines and integrate models into production environments. Collaborate with cross-functional teams, including data engineers, software developers, and product managers. Ensure compliance with AI governance, ethical AI principles, and data privacy regulations. Stay up to date with the latest advancements in AI/ML and contribute to research initiatives. Required Skills And Qualifications 5-6 years of overall experience in AI/ML, with at least 1.5 years of hands-on experience in Generative AI. Strong proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or JAX. Experience in building, fine-tuning, and deploying LLMs and generative models. Knowledge of prompt engineering, reinforcement learning from human feedback (RLHF), and model optimization techniques. Familiarity with cloud-based AI/ML platforms (AWS, Azure, GCP) and MLOps best practices. Experience with NLP, computer vision, and multi-modal AI models. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Preferred Qualifications Experience in AI applications for the financial sector, healthcare, or other regulated industries. Knowledge of AI compliance, governance frameworks, and responsible AI principles. Familiarity with APIs, microservices, and deployment strategies for AI-powered applications. Experience contributing to open-source AI projects or publishing research papers. (ref:hirist.tech) Show more Show less

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5.0 years

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Uttiramerur, Tamil Nadu, India

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The world's top banks use Zafin's integrated platform to drive transformative customer value. Powered by an innovative AI-powered architecture, Zafin's platform seamlessly unifies data from across the enterprise to accelerate product and pricing innovation, automate deal management and billing, and create personalized customer offerings that drive expansion and loyalty. Zafin empowers banks to drive sustainable growth, strengthen their market position, and define the future of banking centered around customer value. What will you do? Research and gather insights, understand user needs and behaviours Produce compelling designs, create wireframes, prototypes, and interactions that efficiently communicate design, as well as create concepts to support product ideation Organize and structure complex information in a way that is intuitive and easy for users to navigate Present and articulate the thinking behind your work, be proactive and conduct regular design reviews and capture feedback from key stakeholders to iterate, and improve on designs Apply human-centered design methods, and W3C (AA+) accessibility standards, to craft inclusive, industry-leading B2B banking experiences, from start to finish Contribute to and use the design system to ensure consistency across products Collaborate with other designers to develop solutions that enhance the user experience Use industry knowledge, understand the technical and business aspects of the product to find ways to improve it Manage the design workload and ensure timely delivery of products in an Agile environment, working closely with product managers and delivery teams Work with cross-functional teams across different locations, ensuring clear communication and effective problem-solving Stay up-to-date with the latest design trends and tools through continuous learning Minimum Requirements Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or similar field, or equivalent experience A portfolio or website showcasing your work in product UX/UI design 5+ years of experience designing digital products in the banking industry 5+ years of experience in end-to-end product design 3+ years of experience working in large cross-functional teams Proficiency in Figma and other industry-standard design tools Proven ability to deliver high-quality banking products Preferred Qualifications Experience creating cohesive, visually appealing product experiences with attention to detail Ability to manage multiple priorities and projects at once Skill in understanding and communicating design and technical trade-offs Openness to feedback and a commitment to continuous improvement Knowledge of software development, modern technologies, and frameworks Comfort working independently and in team settings Excellent communication skills Nice to have Experience with modular design Experience with Prime React and related frameworks Experience designing for high-volume data processing web applications Strong problem-solving skills to address complex UX and technical challenges What's in it for you Joining our team means being part of a culture that values diversity, teamwork, and high-quality work. We offer competitive salaries, annual bonus potential, generous paid time off, paid volunteering days, wellness benefits, and robust opportunities for professional growth and career advancement. Want to learn more about what you can look forward to during your career with us? Visit our careers site and our openings: zafin.com/careers Zafin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Zafin is committed to protecting the privacy and security of the personal information collected from all applicants throughout the recruitment process. The methods by which Zafin contains uses, stores, handles, retains, or discloses applicant information can be accessed by reviewing Zafin's privacy policy at https://zafin.com/privacy-notice/. By submitting a job application, you confirm that you agree to the processing of your personal data by Zafin described in the candidate privacy notice. Show more Show less

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8.0 years

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Noida, Uttar Pradesh, India

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Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. We are seeking a seasoned Director of Engineering (M5 Level) to join our dynamic team. As a first-line manager, you will lead a team of talented engineers, driving technical excellence, fostering a culture of ownership, and ensuring the successful delivery of high-impact projects. You will be responsible for guiding technical decisions, managing team performance, and aligning engineering efforts with business goals. Responsibilities Technical Leadership: Own the technical strategy for our Total Compensation suite, including salary banding, equity management, variable compensation, and employee-facing compensation portals. Architect scalable, secure systems capable of handling sensitive compensation data with strict access controls and audit trails. Collaborate with product, data science, and design teams to deliver intelligent compensation planning and benchmarking tools. Translating strategy into tactical execution by creating and managing an agreed-upon roadmap. Be hands-on with code, maintaining high technical standards and actively participating in design and architecture decisions, code reviews, and helping engineers optimize their code. Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications. Ensure accountability for the team’s technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot). Understand CI/CD pipelines from build, test, to deploy phases. Team Management Lead multiple engineering teams, fostering a collaborative and high-performance environment. Conduct regular performance reviews, provide feedback, and support professional development. Define team structures and capacity planning strategies aligned with key product and business milestones. Hire, retain, and grow a diverse, high-performing engineering organization. Foster a culture of service ownership and enhance team engagement. Facilitate collaboration between engineering, product, and operations to maintain alignment and focus. Promote a growth mindset, understanding and driving organizational change. Actively seek opportunities for team growth and cross-functional collaboration. Coaching And Development Mentor engineering managers and individual contributors to develop both technical and leadership skills. Establish clear performance expectations and foster a culture of feedback, accountability, and learning. Support career progression through individual development plans, training programs, and stretch opportunities. Promote knowledge sharing around compensation systems, security best practices, and data compliance. Provide technical mentorship and guidance to engineers at all levels, fostering a culture of learning, collaboration, and continuous improvement, encouraging the team to experiment, learn, and iterate on processes and technologies. Stay current with emerging technologies and industry trends, advocating for their adoption where appropriate to drive innovation and productivity within the team. Execution Excellence Oversee the planning, execution, and delivery of high-impact software projects, ensuring they are completed on time and within budget. Manage team workload and capacity, setting priorities and managing risks and tradeoffs. Deliver high-impact, high-accuracy features such as compensation reviews, pay equity audits, manager planning tools, and employee total rewards statements. Manage execution risk through effective sprint planning, retrospectives, and backlog grooming. Ensure high availability and performance of application services during critical business cycles. Demonstrate engineering excellence and service ownership, including cost and quality management of services, and effective production management. Track and report on KPIs such as velocity, deployment frequency, incident resolution time, and customer satisfaction. Collaborate with cross-functional teams, including product management, design, and operations, to ensure alignment and successful delivery of projects. Communicate effectively with stakeholders at all levels. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 8+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role. Proven track record of leading and delivering large-scale, complex software projects. Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript. Extensive experience with software architecture and design patterns. Strong understanding of cloud technologies and DevOps principles. Excellent problem-solving skills and attention to detail. Excellent communication and leadership skills, with a demonstrated ability to influence and drive change. Preferred Qualifications Master’s degree or PhD in Computer Science, Engineering, or a related technical field. Experience with cloud platforms like Azure, AWS, or GCP. Familiarity with CI/CD pipelines and automation tools. Knowledge of agile development methodologies. Experience in a complex, matrixed organization. Demonstrated commitment to diversity and inclusion initiatives. Familiarity with developing accessible technologies. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com Show more Show less

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58.0 years

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Chennai, Tamil Nadu, India

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Job Title : Generative AI Specialist / Senior AI Engineer Location : NCR (Gurugram) / Chennai, India Experience : 58 years total, with minimum 1 year hands-on in Generative AI About The Role We are looking for a passionate and experienced AI professional to join our AI/ML team. As a Generative AI Specialist, you will work on cutting-edge projects that involve building, fine-tuning, and deploying LLMs and generative models for real world applications in areas such as customer service, content generation, and intelligent automation. Key Responsibilities Design and implement Generative AI solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude). Fine-tune and deploy foundation models using frameworks like Hugging Face, LangChain, or custom pipelines. Work closely with product, design, and engineering teams to integrate GenAI solutions into products. Optimize models for performance, scalability, and latency. Develop evaluation frameworks to measure output quality, relevance, and safety. Stay updated with the latest in GenAI, foundation models, and responsible AI practices. Collaborate in building reusable components, frameworks, and services for GenAI use cases. Required Qualifications 58 years of total experience in software engineering / AI / data science. Minimum 1 year of hands-on experience with Generative AI (e.g., prompt engineering, LLM fine-tuning, RAG, embeddings). Strong experience with Python, PyTorch or TensorFlow, and GenAI libraries like Transformers, LangChain, LlamaIndex, or similar. Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and MLOps. Exposure to NLP tasks like summarization, Q&A, chatbots, and semantic search. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Preferred Skills Experience with Retrieval-Augmented Generation (RAG) pipelines. Understanding of Responsible AI, privacy, and model governance. Background in finance, healthcare, or enterprise AI products is a plus. Contributions to open-source GenAI projects or published research papers. (ref:hirist.tech) Show more Show less

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5.0 years

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Chennai, Tamil Nadu, India

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COMM-IT is currently looking for a highly skilled and result-oriented Angular Developer to join our dynamic team. If you are passionate about front-end development, enjoy working with modern JavaScript frameworks, and are motivated by building high-quality, scalable applications, this role might be an excellent fit for you. Below is a detailed overview of the position, required qualifications, and the expectations from the ideal candidate. Job Title : Angular Developer Experience Required : Minimum 5 Years (Including 4+ Years in AngularJS / ReactJS / VueJS) Roles And Responsibilities Translate UI/UX designs and technical requirements into high-quality code using Angular and other front-end technologies. Work closely with the design and backend teams to develop, test, and deploy responsive and interactive web/mobile applications. Apply modern front-end development practices, ensuring cross-browser compatibility and performance optimization. Collaborate with AI-based coding tools, utilizing intelligent prompts and effectively reviewing, refining, and correcting AI-generated code to meet production standards. Take initiative in identifying and addressing issues or gaps in design, functionality, or integration across components and services. Participate in code reviews, team meetings, and contribute to best practices for development and deployment. Integrate RESTful APIs and backend services, ensuring smooth and secure communication between client and server. Ensure timely delivery of project tasks while maintaining high-quality standards in coding and documentation. Technical Skills Required Angular Expertise : Strong knowledge of Angular fundamentals including modules, components, directives, services, pipes, and routing. JavaScript/TypeScript : Deep understanding of core JavaScript and TypeScript principles, with proven application in real-world projects. Front-End Technologies : Proficiency in HTML5, CSS3, SCSS, and frameworks like Bootstrap or Material Design. Experience with VueJS and ReactJS is a plus. Backend Familiarity : Exposure to backend technologies such as Node.js, Java, Python, or .NET, and ability to integrate frontend with backend logic effectively. Database Knowledge : Working knowledge of relational and non-relational databases like MongoDB, PostgreSQL, or MySQL. API Development and Integration : Hands-on experience in designing, consuming, and managing RESTful APIs. Testing and Debugging : Familiarity with unit testing frameworks and debugging tools. Knowledge of Jasmine, Karma, or similar testing libraries is beneficial. Version Control : Proficient in using Git and GitHub/GitLab for source code management and collaboration. Soft Skills & Other Requirements Strong analytical and problem-solving abilities with a detail-oriented mindset. Excellent verbal and written communication skills to effectively collaborate with internal teams and stakeholders. Self-motivated, proactive, and capable of working independently as well as in a team environment. Adaptability to work in a fast-paced, evolving tech landscape, and openness to learning new tools and technologies. At COMM-IT, we believe in fostering a culture of innovation, collaboration, and continuous learning. If you are someone who takes pride in delivering clean, efficient, and maintainable code, we would love to hear from you. (ref:hirist.tech) Show more Show less

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Navi Mumbai, Maharashtra, India

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Role & Responsibilities GenAI Solution Development : Design, build, fine-tune, and evaluate generative AI models (e.g., LLMs, diffusion models) for specific business use cases. Apply prompt engineering and model optimization techniques for performance and cost-efficiency Platform Integration & Enhancement Work with and improve Quantanite's MoBIUS Generative AI Platform. Bridge R&D (QLabs) and production-ready solutions. Cross-Functional Collaboration Partner with teams across different business pillars to gather requirements and integrate GenAI into workflows. Human-Centric AI Design Design AI tools that enhance user experience and augment human capabilities. Prioritize ethical AI and employee engagement in solution design. Research & Prototyping Stay current with GenAI trends and tools; prototype emerging technologies, often within QLabs. Performance Monitoring & Optimization Monitor deployed models for efficiency, accuracy, and impact on business metrics. Continuously iterate for improvements. Ethical AI & Governance Ensure AI systems follow best practices regarding fairness, transparency, privacy, and bias mitigation. Preferred Candidate Profile Advanced Education : Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Domain Experience Prior experience applying AI/ML solutions within domains directly relevant to Quantanite's core service offerings : Customer Experience (CX), Contact Centers, Sales Automation/CRM, Business Process Outsourcing (BPO), Data Annotation/Management, or HR Technology. 1 Experience in these areas allows for a quicker understanding of business needs and faster value delivery : Platform Development Experience : Experience contributing to the development of scalable AI/ML platforms, MLOps infrastructure, or internal AI tooling. This is particularly relevant given the role's interaction with the MoBIUS platform.1 Full-Stack Familiarity : A broader understanding of software development principles, including experience with API design/development (e.g., RESTful APIs), containerization (e.g., Docker, Kubernetes), and potentially front-end components for integrating AI models into user-facing applications. Publications/Contributions : Contributions to the AI/ML community through publications in relevant conferences/journals or significant contributions to open-source projects. (ref:hirist.tech) Show more Show less

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5.0 years

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Delhi, India

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Job Title : Generative AI & Automation Expert. Location : Delhi, India. Department : Technology. Reports To : Chief Technology Officer (CTO). Employment Type : Drishti IAS : 'Drishti The Vision' was founded on 1st November 1999. Since then, we have been a beacon of excellence in the field of Civil Services Examination preparation and one of the top choices for those preparing for the UPSC Civil Services Examination (CSE). Drishti IAS is dedicated to providing unwavering support and expert guidance for UPSC and State Services aspirants across multiple States/Union Territories in India. We also offer comprehensive online programs accessible through our Drishti Learning App (Android, iOS & Windows), in addition to our well-established physical classroom centers. Job Overview We are seeking a skilled Generative AI & Automation Expert to lead the development and enhancement of our AI-driven educational tools and automation infrastructure. The ideal candidate will have deep expertise in generative AI, large language models (LLMs), and workflow automation technologies, with a passion for EdTech innovation. This role involves building and maintaining AI solutions that improve learner experiences, automating content generation processes, and ensuring operational excellence through automation. Key Responsibilities AI Infrastructure Development : Design, develop, and maintain scalable AI infrastructure to support educational and operational requirements. Deploy and fine-tune local large language models (LLMs), ensuring high performance, reliability, and cost efficiency. Generative AI Features Enhance educational applications by implementing generative AI capabilities such as chatbots for real-time doubt resolution, automated quiz generation, and summarization tools. Develop automated systems to efficiently generate educational content such as test series questions and learning materials. Automation & Workflow Optimization Deploy and manage automation tools to streamline organizational workflows, improving productivity across various teams. Implement AI-driven analytical tools to evaluate sales and support interactions, providing actionable insights to management. Technical Leadership Lead and collaborate with cross-functional teams in integrating advanced AI and automation solutions. Stay current with developments in AI, LLMs, and automation tools, and incorporate industry best practices into the technology strategy. Knowledge Transfer & Documentation Create comprehensive documentation of processes, workflows, and system architectures. Provide training and mentorship to team members to foster innovation and maintain technological proficiency. Education Qualifications & Skills : Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. Experience Minimum of 5 years experience specializing in generative AI, LLMs, and automation. Proven experience developing AI solutions within EdTech or related sectors. Hands-on expertise with frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers. Practical experience in deploying and fine-tuning models such as Deepseek, Mistral, or Llama. Technical Skills Strong programming proficiency in Python, FastAPI, and containerization technologies like Docker. Experience with workflow automation tools (e.g., n8n, Zapier). Knowledge of cloud services (AWS, Azure, GCP) and vector databases (Weaviate, Qdrant, Pinecone). Familiarity with MLOps practices and CI/CD pipelines is advantageous. Soft Skills Strong analytical thinking and problem-solving abilities. Excellent communication and interpersonal skills. Capacity to independently manage projects and handle multiple priorities effectively. Preferred Prior experience in the EdTech industry, particularly developing AI-driven educational tools. Familiarity with UPSC examination content and preparation processes. (ref:hirist.tech) Show more Show less

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Delhi, India

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What Youll Do Architect and scale modern data infrastructure: ingestion, transformation, warehousing, and access Define and drive enterprise data strategygovernance, quality, security, and lifecycle management Design scalable data platforms that support both operational insights and ML/AI applications Translate complex business requirements into robust, modular data systems Lead cross-functional teams of engineers, analysts, and developers on large-scale data initiatives Evaluate and implement best-in-class tools for orchestration, warehousing, and metadata management Establish technical standards and best practices for data engineering at scale Spearhead integration efforts to unify data across legacy and modern platforms What You Bring Experience in data engineering, architecture, or backend systems Strong grasp of system design, distributed data platforms, and scalable infrastructure Deep hands-on experience with cloud platforms (AWS, Azure, or GCP) and tools like Redshift, BigQuery, Snowflake, S3, Lambda Expertise in data modeling (OLTP/OLAP), ETL pipelines, and data warehousing Experience with big data ecosystems: Kafka, Spark, Hive, Presto Solid understanding of data governance, security, and compliance frameworks Proven track record of technical leadership and mentoring Strong collaboration and communication skills to align tech with business Bachelors or Masters in Computer Science, Data Engineering, or a related field Nice To Have (Your Edge) Experience with real-time data streaming and event-driven architectures Exposure to MLOps and model deployment pipelines Familiarity with data DevOps and Infra as Code (Terraform, CloudFormation, CI/CD pipelines) (ref:hirist.tech) Show more Show less

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4.0 years

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Delhi, India

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Job Title : Machine Learning Engineer / Data Scientist (NLP & Gen AI) Location : Delhi, Mumbai, Hyderabad, Chennai Experience : 4+ years Employment Type : Full-time Job Description We are seeking a skilled Machine Learning Engineer / Data Scientist with expertise in Natural Language Processing (NLP), Data Science, and Generative AI. The ideal candidate should have hands-on experience in ML algorithm development, evaluation metrics, Python code testing, and Pandas operations. You will be responsible for designing, implementing, and optimizing AI/ML models to drive data-driven decision-making. Key Responsibilities Develop and deploy ML models, focusing on NLP and Generative AI applications. Design and evaluate ML algorithms using appropriate evaluation metrics. Optimize data pipelines and perform data preprocessing using Pandas and other Python libraries. Implement and test Python-based ML applications with a focus on code quality and performance. Conduct model training, hyperparameter tuning, and performance benchmarking. Collaborate with cross-functional teams to integrate ML solutions into real-world applications. Stay updated with the latest AI/ML advancements and implement best practices. Required Skills NLP & Generative AI : Experience with transformers, LLMs, and language modeling techniques. Machine Learning Concepts : Strong understanding of algorithms and evaluation metrics. Python Development : Expertise in code testing, debugging, and optimization. Data Science & Pandas Operations : Ability to manipulate and analyze structured/unstructured data. ML Model Deployment : Experience with model serving, API development, or cloud platforms is a plus. Version Control & CI/CD : Familiarity with Git, Docker, and ML workflow automation. Preferred Qualifications Experience with Hugging Face, TensorFlow, PyTorch, or Scikit-learn. Knowledge of LLMs, embeddings, and fine-tuning pre-trained models. Understanding of MLOps and cloud-based ML solutions (AWS, GCP, Azure). Ability to write clean, maintainable, and efficient code. (ref:hirist.tech) Show more Show less

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3.0 years

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Noida, Uttar Pradesh, India

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Java Backend developer SaaS / AI Industry (Immediate Joiners Only!) Location : Noida, Sector 62 Experience : 3+ Years (Seeking Immediate Joiners!) Type : Full-Time About The Role We are seeking a skilled Java Backend Developer to join our engineering team. You will be responsible for developing and maintaining scalable backend services and APIs for high performance applications. The role requires hands-on experience with Java, Spring Boot, and MySQL, as well as strong problem-solving abilities and a proactive attitude. Key Responsibilities Develop, test, and maintain RESTful APIs using Java and Spring Boot. Design database schemas and write optimized SQL queries for MySQL. Ensure code quality by writing unit and integration tests (JUnit, Mockito). Collaborate with frontend, DevOps, and QA teams to deliver robust features. Identify and troubleshoot performance and scalability issues in production. Adhere to Git-based version control and agile development processes. Write clean, maintainable, and well-documented code. Required Skills Strong knowledge of Core Java (Java 8 or above). Experience with Spring Boot and REST API development. Proficiency in MySQL (experience with AWS RDS is a plus). Solid understanding of JSON parsing and data transformation. Experience in logging and exception handling (SLF4J, Logback). Familiarity with unit testing and integration testing frameworks. Immediate Hire : We need someone who can join immediately or with a very short notice period. If you have a notice period of 30 days or more, PLEASE DO NOT APPLY. What We Offer Competitive salary and performance-based bonuses. Opportunities for professional growth and learning in the SaaS domain. Join our team and make an immediate impact on our success! (ref:hirist.tech) Show more Show less

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Noida, Uttar Pradesh, India

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About The Job Design, develop, and optimize 2D/3D games using Unity. Implement core gameplay mechanics, physics, and AI systems using C#. Create and integrate custom shaders, materials, and animations. Ensure mobile/desktop/web platform compatibility and performance optimization. Game Development Architect scalable and efficient game systems and backend integrations. Profile and optimize performance, reducing memory consumption and improving frame rates. Design and implement networking solutions, cloud integration, and real-time multiplayer gameplay. Solution Architecting Work closely with game designers, artists, and other developers to ensure cohesive game experiences. Team Collaboration And Communication Implement WebSocket-based real-time multiplayer systems using WebsocketSharp. Manage and integrate WebP image formats using Unity. WebP For Efficient Asset Handling Communicate technical requirements and development progress clearly to non-technical team members. Use Texture Packer to optimize sprites and reduce draw calls. Implement Unity IAP for monetization through in-app purchases. Use NuGet Package Manager for dependency management and integrating third-party Learning & Technology Adoption : Stay updated with the latest Unity versions, game development tools, and industry best practices. Implement new features and technologies to improve game performance and user experience. Be open to learning new programming languages, frameworks, and game engines. Foster a collaborative work environment and assist in resolving team challenges. Provide leadership in architecture decisions and ensure the team is aligned with the technical vision. Skills And Qualifications Technical Skills Strong expertise in Unity for 2D/3D game development. Experience with Unity Profiler, Addressables, and optimization for different platforms. Proficient in C#, OOP, and event-driven programming. Development Tools And Practices Experience with WebSockets, real-time networking, and multiplayer game synchronization. Skilled in plugin & asset management: WebsocketSharp, UnityWebP, Texture Packer, Unity IAP. Experienced in character animation, visual effects, particle systems, and custom shaders for UI effects. Knowledge and experience with 2D Unity animation packages and Tween Library. Familiarity with multiplayer games and code design patterns is a bonus. Experience in developing and optimizing for mobile platforms (iOS and Android). Soft Skills Strong communication and collaboration skills with cross-functional teams. Ability to debug complex issues and find efficient solutions. Passion for adopting new technologies and game development tools. Capable of explaining complex technical concepts to non-technical stakeholders. Highly adaptable and ready to adopt emerging technologies. Leadership experience in guiding team architecture and technology choices. Ability to document requirements and specifications. Excellent communication skills, especially with international clients. Bonus Tools Experience with design tools such as Photoshop, Figma, Illustrator, and Spine (ref:hirist.tech) Show more Show less

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10.0 years

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Greater Kolkata Area

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Role : Engineering Manager Location : Remote Experience : 10 to 14 Years Company Type : Fast-growing AI/Data-driven the Role : We are hiring a hands-on Engineering Manager to lead engineering delivery, architecture, and release management for our AI-powered SaaS platform. Youll drive agile execution, technical design, and customer support escalations, while collaborating with product, QA, and DevOps teams. Agile Delivery & Backlog Management If you are passionate about scaling cloud-native products, reducing technical debt, and building a high-performance team this is your Responsibilities : Lead sprint planning, backlog grooming, and feature prioritization. Drive delivery of Business-as-Usual (BAU) features with strong agile execution. Monitor velocity, burndown, and sprint health Planning & CI/CD : Manage code progression from development to production. Drive release pipelines with CI/CD, security, and performance compliance. Reduce downtime risks through robust DevOps Escalations & Support : Own engineering escalations, ensuring SLA compliance and root cause resolution. Reduce customer issues through preventive measures and & Technical Leadership : Own application architecture decisions and conduct design/code reviews. Guide the team on microservices, REST APIs, and scalable system designs. Lead modernization efforts and reduce technical KPIs : Sprint Delivery : 90%+ of planned BAU items released on time. Product Stability : Reduce critical escalations by 20% QoQ. Quality : <5% defect escape rate in production. Availability : 99.9% uptime of the SaaS Qualifications : 10+ years in software development, with 3+ years in engineering management. Strong track record delivering SaaS/data platforms in agile environments. Experience with CI/CD, cloud (AWS/Azure), and secure release pipelines. Deep understanding of application architecture, microservices, and APIs. Excellent communication, mentoring, and cross-functional leadership Stack/Tools : Languages : Python, Java, JavaScript Tools : Jira, Jenkins, Confluence DevOps : CI/CD, Docker, Kubernetes (preferred) Security : Familiarity with OWASP, SOC2, performance : Startup experience with AI/Data-centric product delivery Familiarity with modern infrastructure tools : Terraform, Helm, GitOps Prior success managing customer-facing platforms with SLA/uptime requirements (ref:hirist.tech) Show more Show less

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Greater Kolkata Area

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Software Engineering Manager Remote, India Apps About Aviato Consulting Aviato Consulting Pty Ltd is a dynamic and rapidly expanding technology consulting firm specializing in Google Cloud, AI, and App Development. We are committed to delivering cutting-edge solutions to our clients and are looking for talented individuals to join our team and contribute to our success. Responsibilities Team Leadership and Management : Lead, mentor, and manage a team of either Flutter, Javascript, Java, or QA engineers in line with your skillset with a focus on fostering a healthy culture grounded in continuous learning and collaboration. Conduct monthly performance reviews, provide constructive feedback, and identify opportunities for professional development. Recruit, onboard, and retain top engineering talent. Plan and allocate resources effectively to meet project deadlines and objectives. Technical Leadership Establish and maintain best practices for your area of expertise between Flutter, Java, Javascript, or QE, development, including code quality, testing, and deployment. Architect and design scalable and maintainable applications. Stay up-to-date with the latest trends and technologies, and evaluate their potential impact on our projects. Provide technical guidance and support to the team, resolving complex technical challenges. Participate in code reviews and ensure adherence to coding standards. Project Management Collaborate with product managers, designers, and other stakeholders to define project requirements and timelines. Manage project scope, risks, and dependencies, ensuring projects are delivered on time and within budget. Utilize agile methodologies to manage sprints and track progress. Communicate effectively with stakeholders, providing regular updates on project status. Qualifications Experience : Proven experience in a leadership role managing a team of engineers. Extensive experience in developing and deploying high-quality mobile applications using Flutter. Strong understanding of mobile development principles and best practices. Experience with state management solutions (e.g., Provider, Riverpod, Bloc). Experience with RESTful APIs and data serialization. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Skills Excellent communication and interpersonal skills. Strong problem-solving and analytical skills. Ability to work effectively in a fast-paced and dynamic environment. Strong understanding of UI/UX principles. Experience with Native Android and/or IOS development is a plus. What We Offer Competitive salary and benefits package. ESOP Opportunity to work on challenging and innovative projects. Collaborative and supportive work environment. Leadership coaching Flexible working arrangements. (ref:hirist.tech) Show more Show less

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4.0 years

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Greater Kolkata Area

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Job Description We are looking for a passionate and skilled Test Automation Engineer to join our QA team. The ideal candidate will have strong experience in designing, developing, and maintaining automation frameworks and test scripts across Web, API, and Performance testing. You will work closely with the QA and Development teams to ensure high product quality through effective and efficient test automation. Roles And Responsibilities Design and develop robust, scalable automation frameworks for Web, API, and Database testing. Develop and execute automated test scripts using tools such as Selenium, TestNG, RestAssured, and Cucumber. Implement API test automation using tools like Postman and RestAssured. Perform database validations using SQL queries as part of end-to-end testing. Integrate automated tests into CI/CD pipelines using tools such as Jenkins, GitLab CI, or equivalent. Awareness of AI-assisted development tools like GitHub Copilot is a plus. Analyze test results, identify bugs, and collaborate with developers for quick resolution. Maintain test suites and update test documentation as needed. Participate in requirement analysis and contribute to test planning and design discussions. Collaborate closely with QA and Development teams to ensure thorough test coverage and continuous quality improvements. Conduct code and script reviews to uphold automation standards and best practices. Required Skills And Qualifications 4+ years of hands-on experience in test automation. Strong knowledge of Selenium WebDriver with Java or Python. Experience in writing API tests using REST-assured, Postman, or similar tools. Proficient in SQL and experience with database testing. Experience working with Cucumber (BDD) or Citrus framework. Understanding of test automation best practices, test strategies, and QA methodologies. Familiarity with version control systems (e.g., Git) and CI tools (e.g., Jenkins). Strong analytical and problem-solving skills. (ref:hirist.tech) Show more Show less

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Greater Kolkata Area

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Job Description Key Responsibilities : Design, develop, and deploy machine learning models and AI-driven applications using Python. Collaborate with data scientists, software engineers, and product managers to understand business requirements and translate them into AI solutions. Utilize AWS Bedrock and other AWS cloud services for model deployment, training, and orchestration. Manage data pipelines and ensure efficient data flow and storage, including preprocessing and feature engineering. Implement and maintain databases (SQL/NoSQL) used for storing structured and unstructured data. Optimize model performance and continuously monitor accuracy, efficiency, and scalability of deployed systems. Stay updated with the latest research, trends, and technologies in AI and machine learning. Document design processes, code, and research findings clearly and concisely. Contribute to code reviews, best practices, and technical mentorship within the Qualifications : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong proficiency in Python and common machine learning libraries (e.g., TensorFlow, PyTorch, Scikit learn, Hugging Face Transformers). Proven experience building, training, and deploying machine learning models in real-world applications. Hands-on experience with AWS, particularly AWS Bedrock, SageMaker, Lambda, S3, and related services. Proficient in database management, including SQL and NoSQL systems such as PostgreSQL, MySQL, MongoDB, or DynamoDB. Understanding of data structures, algorithms, and software engineering best practices. Experience with version control systems (e.g., Git) and CI/CD pipelines for machine learning projects. Excellent communication and collaboration skills. (ref:hirist.tech) Show more Show less

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7.0 years

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Greater Kolkata Area

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Omni's team is passionate about Commerce and Digital Transformation. We've been successfully delivering Commerce solutions for clients across North America, Europe, Asia, and Australia. The team has experience executing and delivering projects in B2B and B2C solutions. Job Description This is a remote position. We are seeking a Senior Data Engineer to architect and build robust, scalable, and efficient data systems that power AI and Analytics solutions. You will design end-to-end data pipelines, optimize data storage, and ensure seamless data availability for machine learning and business analytics use cases. This role demands deep engineering excellence balancing performance, reliability, security, and cost to support real-world AI applications. Key Responsibilities Architect, design, and implement high-throughput ETL/ELT pipelines for batch and real-time data processing. Build cloud-native data platforms : data lakes, data warehouses, feature stores. Work with structured, semi-structured, and unstructured data at petabyte scale. Optimize data pipelines for latency, throughput, cost-efficiency, and fault tolerance. Implement data governance, lineage, quality checks, and metadata management. Collaborate closely with Data Scientists and ML Engineers to prepare data pipelines for model training and inference. Implement streaming data architectures using Kafka, Spark Streaming, or AWS Kinesis. Automate infrastructure deployment using Terraform, CloudFormation, or Kubernetes operators. Requirements 7+ years in Data Engineering, Big Data, or Cloud Data Platform roles. Strong proficiency in Python and SQL. Deep expertise in distributed data systems (Spark, Hive, Presto, Dask). Cloud-native engineering experience (AWS, GCP, Azure) : BigQuery, Redshift, EMR, Databricks, etc. Experience designing event-driven architectures and streaming systems (Kafka, Pub/Sub, Flink). Strong background in data modeling (star schema, OLAP cubes, graph databases). Proven experience with data security, encryption, compliance standards (e.g., GDPR, HIPAA). Preferred Skills Experience in MLOps enablement : creating feature stores, versioned datasets. Familiarity with real-time analytics platforms (Clickhouse, Apache Pinot). Exposure to data observability tools like Monte Carlo, Databand, or similar. Passionate about building high-scale, resilient, and secure data systems. Excited to support AI/ML innovation with state-of-the-art data infrastructure. Obsessed with automation, scalability, and best engineering practices. (ref:hirist.tech) Show more Show less

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About The Opportunity Join us in building cutting-edge AI-driven products that push the boundaries of user interaction and automation. Our Platforms Include Domain-specific chat interfaces powered by large language models (LLMs) Tools that analyze user-uploaded images and text to generate actionable insights Systems integrated with APIs such as Google Calendar, Gmail, weather, and financial services Architectures supporting real-time feedback loops, user session management, and intelligent context tracking We're looking for a skilled backend engineer who thrives in fast-paced environments and loves solving complex problems with elegant, scalable code. Key Responsibilities Design, implement, and maintain scalable and modular API services using FastAPI Build and orchestrate multi-model AI workflows (OpenAI, Claude, Gemini, Grok, etc.) Develop domain-specific business logic across verticals such as real estate, customer support, and more Integrate and transform data from diverse sources including user uploads and external APIs Implement secure, asynchronous backend logic optimized for high-performance applications Manage file storage systems (e.g., AWS S3), chat histories, and contextual interaction logs Enable chatbot customization features such as category management and prompt tuning Collect, store, and analyze user feedback and AI usage metrics Develop admin dashboards and backend tools for feature management and user control Required Skills And Experience Proficient in Python 3.8+ and asynchronous programming Hands-on experience with FastAPI for building modern backend services Solid understanding of SQLAlchemy with PostgreSQL (or equivalent ORM and RDBMS) Experience integrating LLM APIs (OpenAI, Claude, Gemini, etc.) Knowledge of API authentication and authorization (OAuth, JWT, session management) Familiarity with cloud platforms (preferably AWS), Docker, and CI/CD pipelines Experience with secure handling of image and file uploads Ability to generate PDFs/reports and maintain robust error handling, logging, and monitoring across distributed systems (ref:hirist.tech) Show more Show less

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5.0 years

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Greater Kolkata Area

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Company Description We bring experience and clarity to organizations, powering every human decision with analytics & AI. Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We Provide Best-in-class Services That Increase Profit For Businesses And Deliver Improved Value For Customers, Helping Businesses Grow, Transform, And Achieve Their Details Position : Data Analyst (Oncology) Experience : 5+ Years Work Mode : Description : Develop dashboards and storytelling to provide insights on Global commercial portfolio, marketing, sales and market access Generate insights from commercial, market access and RWE data by performing hands-on descriptive analytics Perform business rollout of dashboards to drive large user adoption, satisfaction and impact, and monitor KPIs to ensure operational and business success in steady state Develop analytics strategy to answer business questions and drive commercial decisions Evaluate and purchase the right data for analytics Work closely with Global Commercial, Global Market Access, IT, as well as US, Germany and other affiliates to understand business needs and develop solutions Communicate business impact effectively to senior : 5+ years of data analytics experience 3+ years of pharma commercial data analytics experience 2+ years of Oncology commercial data analytics experience Experience with Oncology commercial datasets, data purchasing, data analytics strategy, launches, MDM, commercial analytics, sales force effectiveness (e.g. targeting, segmentation, incentive compensation), omnichannel, next-best action, marketing mix, RWE Hands-on experience in dashboarding tools such as Tableau, PowerBI required Knowledge of programming languages or Alteryx required Experience working closely with commercial teams (ref:hirist.tech) Show more Show less

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5.0 years

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Greater Kolkata Area

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About Sleek Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs. We give Entrepreneurs time back to focus on what they love doing growing their business and being with customers. With a surging number of Entrepreneurs globally, we are innovating in a highly lucrative space. We Operate 3 Business Segments Corporate Secretary : Automating the company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and SleekSign. We are the market leaders in Singapore with : 5% market share of all new business incorporations. Accounting & Bookkeeping : Redefining what it means to do Accounting, Bookkeeping, Tax and Payroll thanks to our proprietary SleekBooks ledger, AI tools and exceptional customer service. FinTech payments : Overcoming a key challenge for Entrepreneurs by offering digital banking services to new businesses. Sleek launched in 2017 and now has around 15,000 customers across our offices in Singapore, Hong Kong, Australia and the UK. We have around 450 staff with an intact startup mindset. We have achieved >70% compound annual growth in Revenue over the last 5 years and as a result have been recognised by The Financial Times, The Straits Times, Forbes and LinkedIn as one of the fastest growing companies in Asia. Role Backed by world-class investors, we are on track to be one of the few cash flow positive, tech-enabled unicorns based out of The Role : We are looking for an experienced Senior Data Engineer to join our growing team. As a key member of our data team, you will design, build, and maintain scalable data pipelines and infrastructure to enable data-driven decision-making across the organization. This role is ideal for a proactive, detail-oriented individual passionate about optimizing and leveraging data for impactful business : Work closely with cross-functional teams to translate our business vision into impactful data solutions. Drive the alignment of data architecture requirements with strategic goals, ensuring each solution not only meets analytical needs but also advances our core objectives. 3, Be pivotal in bridging the gap between business insights and technical execution by tackling complex challenges in data integration, modeling, and security, and by setting the stage for exceptional data performance and insights. Shape the data roadmap, influence design decisions, and empower our team to deliver innovative, scalable, high-quality data solutions every : Achieve and maintain a data accuracy rate of at least 99% for all business-critical dashboards by start of day (accounting for corrections and job failures), with a 24-business hour detection of error and 5-day correction SLA. 95% of data on dashboards originates from technical data pipelines to mitigate data drift. Set up strategic dashboards based on Business Needs which are robust, scalable, easy and quick to operate and maintain. Reduce costs of data warehousing and pipelines by 30%, then maintaining costs as data needs grow. Achieve 50 eNPS on data services (e.g. dashboards) from key business : Data Pipeline Development : Design, implement, and optimize robust, scalable ETL/ELT pipelines to process large volumes of structured and unstructured data. Data Modeling : Develop and maintain conceptual, logical, and physical data models to support analytics and reporting requirements. Infrastructure Management : Architect, deploy, and maintain cloud-based data platforms (e.g. , AWS, GCP). Collaboration : Work closely with data analysts, business owners, and stakeholders to understand data requirements and deliver reliable solutions, including designing and implementing robust, efficient and scalable data visualization on Tableau or LookerStudio. Data Governance : Ensure data quality, consistency, and security through robust validation and monitoring frameworks. Performance Optimization : Monitor, troubleshoot, and optimize the performance of data systems and pipelines. Innovation : Stay up to date with the latest industry trends and emerging technologies to continuously improve data engineering & Qualifications : Experience : 5+ years in data engineering, software engineering, or a related field. Technical Proficiency Proficiency in working with relational databases (e.g. , PostgreSQL, MySQL) and NoSQL databases (e.g. , MongoDB, Cassandra). Familiarity with big data frameworks like Hadoop, Hive, Spark, Airflow, BigQuery, etc. Strong expertise in programming languages such as Python, NodeJS, SQL etc. Cloud Platforms : Advanced knowledge of cloud platforms (AWS, or GCP) and their associated data services. Data Warehousing : Expertise in modern data warehouses like BigQuery, Snowflake or Redshift, etc. Tools & Frameworks : Expertise in version control systems (e.g. , Git), CI/CD, JIRA pipelines. Big Data Ecosystems / BI : BigQuery, Tableau, LookerStudio. Industry Domain Knowledge : Google Analytics (GA), Hubspot, Accounting/Compliance etc. Soft Skills : Excellent problem-solving abilities, attention to detail, and strong communication Qualifications : Degree in Computer Science, Engineering, or a related field. Experience with real-time data streaming technologies (e.g. , Kafka, Kinesis). Familiarity with machine learning pipelines and tools. Knowledge of data security best practices and regulatory The Interview Process : The successful candidate will participate in the below interview stages (note that the order might be different to what you read below). We anticipate the process to last no more than 3 weeks from start to finish. Whether the interviews are held over video call or in person will depend on your location and the role. Case study. A : 60 minute chat with the Data Analyst, where they will give you some real-life challenges that this role faces, and will ask for your approach to solving them. Career deep dive. A : 60 minute chat with the Hiring Manager (COO). They'll discuss your last 1-2 roles to understand your experience in more detail. Behavioural fit assessment. A : 60 minute chat with our Head of HR or Head of Hiring, where they will dive into some of your recent work situations to understand how you think and work. Offer + reference interviews. We'll Make a Non-binding Offer Verbally Or Over Email, Followed By a Couple Of Short Phone Or Video Calls With References That You Provide To For Background Screening Please be aware that Sleek is a regulated entity and as such is required to perform different levels of background checks on staff depending on their role. This may include using external vendors to verify the below : Your education. Any criminal history. Any political exposure. Any bankruptcy or adverse credit history. We will ask for your consent before conducting these checks. Depending on your role at Sleek, an adverse result on one of these checks may prohibit you from passing probation. (ref:hirist.tech) Show more Show less

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5.0 years

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About Sleek Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs. We give Entrepreneurs time back to focus on what they love doing growing their business and being with customers. With a surging number of Entrepreneurs globally, we are innovating in a highly lucrative space. We Operate 3 Business Segments Corporate Secretary : Automating the company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and SleekSign. We are the market leaders in Singapore with : 5% market share of all new business incorporations. Accounting & Bookkeeping : Redefining what it means to do Accounting, Bookkeeping, Tax and Payroll thanks to our proprietary SleekBooks ledger, AI tools and exceptional customer service. FinTech payments : Overcoming a key challenge for Entrepreneurs by offering digital banking services to new businesses. Sleek launched in 2017 and now has around 15,000 customers across our offices in Singapore, Hong Kong, Australia and the UK. We have around 450 staff with an intact startup mindset. We have achieved >70% compound annual growth in Revenue over the last 5 years and as a result have been recognised by The Financial Times, The Straits Times, Forbes and LinkedIn as one of the fastest growing companies in Asia. Backed by world-class investors, we are on track to be one of the few cash flow positive, tech-enabled unicorns based out of Singapore. Sleek is also a proudly certified B Corp. Since we started our journey in 2017, we've been committed to building Sleek as a force for good. In just over 5 years, we've joined a community of industry leaders like Patagonia, Ben & Jerry's, and P&G who are building an inclusive, equitable, and a regenerative economy. We have planted over 29,271 trees to reforest our ecosystem and saved 7 tons of paper from landfills by processing over 1. 4M pages through SleekSign. We aim to be Carbon Neutral by The Role : Mission As the Fullstack AI Engineer, you will be at the forefront of transforming our technology landscape through comprehensive, end-to-end AI solutions. Your mission is to architect, develop, and deploy scalable systems that leverage advanced Artificial Intelligence and automation capabilities to drive operational efficiency, product innovation, and user satisfaction. You will work closely with cross-functional teamsranging from data scientists and product managers to UX/UI designers and DevOps professionalsto ensure seamless integration of AI-powered features where they deliver the greatest value, while maintaining a robust software architecture and intuitive user experience. Role Your role will be instrumental in ensuring our next-generation platform not only meets client and internal needs but also sets new standards for innovation, reliability, and excellence in the AI-driven software : Deliver High-Quality Code : Consistently submit well-documented, maintainable, and robust code through Pull Requests (PRs) that include comprehensive tests (unit, integration) and adhere to team coding standards and best practices. Aim for high test coverage (e.g., >80%) on new code. Apply Strong Fundamentals : Design and implement features demonstrating strong understanding and application of software architecture principles (e.g., SOLID, clean architecture), efficient database design (schema, indexing, query optimization), and API best practices (RESTful design, security). Leverage AI Tools Effectively : Integrate AI coding assistants and tools into your daily workflow to demonstrably improve development speed (e.g., reducing boilerplate, accelerating test writing, assisting debugging) without compromising code quality, maintainability, or introducing unnecessary complexity. Be prepared to share effective prompts and techniques. Contribute to System Stability : Keep production rollback rate related to your contributions under 2% by enforcing comprehensive testing, leveraging CI/CD pipelines effectively, and adhering to established DevOps best practices. Engage in Collaborative Development : Actively participate in code reviews, providing timely, constructive feedback based on engineering principles and best practices. Respond proactively to feedback on your own PRs, contributing positively to team velocity and knowledge : Professional Background : You've excelled as a Fullstack Engineer, AI Specialist, or a similar role for 5+ years, developing and deploying scalable applications that harness the power of AI. Front-End & Back-End : Fluent in VueJS/React and NodeJS (TypeScript), with hands-on experience in microservices that are modular, reusable, and resilient. Databases & Architecture : Comfortable with MongoDB/Supabase, ESR/RPC, and adept at designing solutions aligned with Clean/Hexagonal architecture, SOLID principles, ACID, and idempotency. AI Frameworks & Tools : Skilled in advanced AI ecosystemsLangChain, LlamaIndex, etc.with experience in prompt engineering, RAG, and an interest in specialized hardware like Groq. Quality Advocate : Passionate about maintaining high testing standards, security patches, and thorough documentation for AI pipelines, ensuring consistent and reliable performance. Interpersonal Skills : Able to communicate fluidly with Agile teams, bridging gaps between product, UX, data science, and engineering to deliver successful AI initiatives. Cloud & DevOps Expertise : Knowledge of AWS/GCP, when to leverage serverless/PaaS, and experience deploying microservices to Kuberneteswith a keen eye for best practices in MLOps and AI model lifecycle management. Collaboration & Independence : Equally comfortable working solo or in a team environment, driving projects from ideation to production while inspiring those around : Humility and kindness : Humility is a core attribute we hire for, which means we have a culture of not taking ourselves too seriously and being able to laugh. Kindness is also incredibly important. We are committed to creating and nurturing a diverse and inclusive environment. Flexibility : You'll be able to work from home. If you need to start early or start late to cater to your family or other needs, we don't mind, so long as you get your work done and proactively communicate. Financial benefits : We pay competitive market salaries and provide staff with generous paid time off and holiday schedules. Additionally, you'll be able to access our flexi benefits scheme for home office equipment or health and fitness expenditure. Certain staff at Sleek are also eligible for our employee share ownership plan and can share in the upside of our stellar growth trajectory as we work toward listing on a prominent stock exchange in the Asia Pacific region. Personal growth : You'll get a lot of responsibility and autonomy at Sleek we move at a fast pace so you'll be making decisions, making mistakes and learning. There's also a range of internal and external facing training programmes we run. We're also at the forefront of utilising AI in our space and are developing a regional centre of AI excellence. It is our intention that if you leave Sleek, you leave as a more well-rounded person and Process : The successful candidate will participate in the below interview stages. Introductory Call. A quick chat with the member of the HR Team. Take Home Assessment : A small take-home assessment to demonstrate your knowledge and skills in both frontend and backend development. Estimated time : 2 hours. Note : Assessment is unrelated so Sleek's business, and will not be used or distributed beyond the interview process. Case Study Interview A : 60 minute chat with the member of the team to validate the technical aptitude of the candidate. Career Deep Dive/Behavioral fit interview. A : 60 minute chat with the CTO of the company. Offer + reference calls. We'll make a non-binding offer verbally or over email, followed by a couple of short phone or video calls with references that you provide to us. Requirement for background screening. Please be aware that Sleek is a regulated entity and as such is required to perform different levels of background checks on staff depending on their role. This may include using external vendors to verify the below : Your education. Any criminal history. Any political exposure. Any bankruptcy or adverse credit history. We will ask for your consent before conducting these checks. Depending on your role at Sleek, an adverse result on one of these checks may prohibit you from passing probation. (ref:hirist.tech) Show more Show less

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Greater Kolkata Area

On-site

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About Us At App Force Team, we specialize in building rapid, high-impact mobile solutions. Our team is known for developing clean, functional MVPsoften in under 48 hours. Were a close-knit group of builders, designers, and problem-solvers at the cutting edge of AI-integrated the Opportunity : We are looking for a highly motivated Mobile Developer with strong frontend development skills and experience working with frameworks like React Native or Flutter. You will play a key role in bringing AI-driven app ideas to lifefast. If you're passionate about fast-paced product development and emerging technologies like GPT-4 and image generation models, this role is for you. Key Responsibilities Develop responsive mobile and web frontends using React Native, Flutter, or similar cross-platform frameworks. Integrate third-party APIs including OpenAI (GPT-4), image generation models, and other AI tools. Collaborate with UI/UX designers to translate designs into intuitive, clean user interfaces. Deploy MVPs to TestFlight, Google Play, or web platforms. Assist in preparing app store assets such as icons, screenshots, and app : Proven experience in mobile app development using React Native, Flutter, Swift, Kotlin, or similar technologies. Strong understanding of RESTful API integration and hands-on experience with AI tools/APIs (e.g., OpenAI). Ability to write clean, maintainable, and well-documented code in a fast-paced development environment. Solid grasp of UI implementation best practices and a keen eye for design detail. Experience with CI/CD pipelines, app deployment, and release processes across major app platforms (ref:hirist.tech) Show more Show less

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Exploring AI Jobs in India

The artificial intelligence (AI) job market in India is rapidly growing, with companies across various industries investing in AI technologies to drive innovation and improve efficiency. As a result, there is a high demand for skilled professionals in AI roles in the country.

Top Hiring Locations in India

  1. Bangalore
  2. Pune
  3. Hyderabad
  4. Chennai
  5. Mumbai

These cities are known for their thriving tech ecosystems and have a high concentration of companies actively hiring for AI roles.

Average Salary Range

The salary range for AI professionals in India varies based on experience and job role. Entry-level positions such as AI/ML Developer or Data Scientist can expect to earn between INR 6-10 lakhs per annum, while experienced professionals in roles like AI Research Scientist or AI Architect can earn upwards of INR 15 lakhs per annum.

Career Path

In the field of AI, a typical career path may include roles such as Junior AI Engineer, AI Developer, AI Specialist, AI Researcher, and eventually progressing to roles like Senior AI Architect or AI Team Lead.

Related Skills

In addition to expertise in AI technologies, professionals in this field are often expected to have strong skills in programming languages like Python, knowledge of machine learning algorithms, data analysis skills, and an understanding of deep learning frameworks.

Interview Questions

  • What is the difference between artificial intelligence and machine learning? (basic)
  • Can you explain the concept of neural networks? (medium)
  • How do you handle overfitting in a machine learning model? (medium)
  • What is reinforcement learning and how does it work? (medium)
  • Explain the bias-variance tradeoff in machine learning. (advanced)
  • How would you approach a natural language processing project? (medium)
  • What is transfer learning in the context of deep learning? (medium)
  • Can you explain the working of a convolutional neural network? (medium)
  • How do you evaluate the performance of a machine learning model? (basic)
  • What are some common activation functions used in neural networks? (medium)
  • Explain the concept of unsupervised learning. (medium)
  • How do you handle missing data in a dataset? (basic)
  • What is the role of regularization in machine learning? (medium)
  • Can you explain the concept of feature engineering? (basic)
  • How does gradient descent work in the context of machine learning? (medium)
  • What is the difference between supervised and unsupervised learning? (basic)
  • How would you approach a time series forecasting problem using AI techniques? (medium)
  • Explain the concept of backpropagation in neural networks. (advanced)
  • What are some common challenges faced in deploying AI models in production? (medium)
  • Can you discuss a project where you implemented a recommendation system? (medium)
  • How do you handle imbalanced datasets in machine learning? (medium)
  • What is the importance of data preprocessing in machine learning? (basic)
  • Can you explain the concept of ensemble learning? (medium)
  • How do you measure the performance of a classification model? (basic)
  • What are some ethical considerations in AI development? (advanced)

Closing Remark

As the AI job market in India continues to grow, it is essential for job seekers to stay updated on the latest trends and technologies in the field. By honing their skills, preparing for interviews, and showcasing their expertise, individuals can confidently pursue rewarding AI careers in the country. Good luck with your job search!

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