Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We create intelligent, user-first digital products that redefine industries through the power of AI and engineering Overview : We are seeking a Senior ReactJS Developer with 5+ years of experience in building high-performance, scalable, and user-friendly web applications. This role will focus on creating modern front-end solutions that bring our AI-powered products to life with seamless and intuitive interfaces. Responsibilities Youll work closely with product designers, back-end developers, and AI teams to deliver pixel-perfect UIs and a world-class user Responsibilities : Design and develop advanced front-end applications using ReactJS and modern JavaScript/TypeScript frameworks. Translate UI/UX designs into high-quality code with attention to detail, responsiveness, and accessibility. Build reusable components and front-end libraries for future use. Optimize components for maximum performance across a wide range of devices and browsers. Collaborate with back-end developers to integrate APIs and ensure smooth data flow. Ensure code quality through unit testing, code reviews, and adherence to best practices. Stay updated with the latest trends in front-end development and actively contribute to improving UI architecture and : 5+ years of experience in ReactJS and JavaScript/TypeScript development. Strong understanding of modern front-end build pipelines and tools (Webpack, Babel, Vite, etc. Experience with state management libraries like Redux, Zustand, Recoil, or Context API. Deep knowledge of HTML5, CSS3, SCSS, and responsive design principles. Proficiency with REST APIs, GraphQL, and front-end integration patterns. Familiarity with testing frameworks such as Jest, React Testing Library, or Cypress. Experience working in an agile development environment using Git and CI/CD pipelines. Strong debugging and performance optimization Qualifications : Experience in building dashboards or front-ends for AI, ML, or data-driven applications. Knowledge of Next.js or SSR (server-side rendering) frameworks. Familiarity with component libraries like Material UI, Chakra UI, or Tailwind CSS. Exposure to full-stack development with Node.js is a plus. What We Offer The opportunity to work on cutting-edge AI-powered platforms. A collaborative, fast-paced product team with a focus on innovation. Access to top-tier tools, resources, and growth opportunities. Competitive compensation no limits for the right candidate. (ref:hirist.tech) Show more Show less

Our Company Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We design and build intelligent, secure, and scalable platforms that are reshaping the future across industries. Role Overview We are looking for a visionary and hands-on Generative AI Architect with 10+ years of experience in building scalable AI and data platforms, including 3+ years of expertise in Generative AI technologies. The ideal candidate will lead the design, development, and deployment of intelligent systems that integrate large language models (LLMs), multimodal AI, and other cutting-edge GenAI capabilities into real-world applications. This is a strategic and high-impact role that combines deep technical leadership with product innovation to define the future of AI at Techvantage.ai. What we are looking from an ideal candidate ? Architect and lead end-to-end solutions involving LLMs, diffusion models, transformers, and multimodal AI across enterprise and consumer use cases. Design robust and scalable architectures for prompt engineering, model orchestration, embedding pipelines, vector databases, and fine-tuning/instruction tuning. Evaluate and integrate open-source and proprietary models (e.g., OpenAI, Anthropic, Mistral, LLaMA, Claude, Gemini, etc.) based on business requirements. Lead model selection, finetuning, RAG (Retrieval-Augmented Generation), prompt optimization, and latency vs. performance tradeoffs. Collaborate with product managers, data scientists, engineers, and clients to design GenAI-powered applications aligned with business goals. Ensure adherence to ethical AI practices, data privacy, model safety, and bias mitigation. Contribute to internal GenAI accelerators, reusable frameworks, and innovation strategies. Stay at the forefront of AI/ML advancements and drive PoCs and pilot implementations across industry verticals. Preferred Skills What skills do you need ? Required Skills & Qualifications 10+ years of experience in technology roles, including AI/ML architecture, data engineering, or solution architecture. At least 3+ years of experience in designing and deploying Generative AI solutions. Deep knowledge of transformer architectures, LLMs, diffusion models, and related frameworks (e.g., Hugging Face, LangChain, LlamaIndex, Haystack, etc.) Experience with prompt engineering, RAG pipelines, and vector database technologies (FAISS, Weaviate, Pinecone, Chroma, etc.) Proficiency in Python, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP). Strong understanding of MLOps, CI/CD for ML, and model lifecycle management. Excellent communication and stakeholder management skills, with the ability to explain complex AI concepts to non-technical audiences. Preferred Qualifications Experience deploying GenAI systems in BFSI, healthcare, e-commerce, or enterprise SaaS platforms. Familiarity with agentic AI systems, autoML, RLHF, or autonomous agents. Knowledge of data governance, compliance, and responsible AI frameworks. Contributions to open-source AI projects or publications in AI/ML are a strong plus. Masters or PhD in Computer Science, AI/ML, Data Science, or a related field is preferred. What We Offer Lead innovation at the edge of Generative AI and intelligent systems. Work with a talented team building future-ready AI infrastructure. Access to state-of-the-art tools, models, and cloud credits. Compensation is not a constraint for the right candidate. (ref:hirist.tech) Show more Show less

Our Company Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, scalable, and secure platforms that transform industries through the power of AI. Role Overview We are seeking an experienced Automation Test Engineer with strong expertise in Python-based automation frameworks and a total of 6 years of hands-on experience in software testing. You will be responsible for designing and maintaining automation test suites, ensuring the reliability and performance of AI-enabled products and digital platforms. You will collaborate closely with developers, DevOps, and product teams to implement quality-first practices and enable faster, more reliable releases. What we are looking from an ideal candidate ? Design, develop, and maintain automated test scripts using Python for web, API, and backend services. Develop and execute test strategies, test plans, and test cases for functional, regression, and integration testing. Implement automation frameworks from scratch or enhance existing ones (e.g., Pytest, Robot Framework, Selenium with Python, Behave, etc.) Integrate automated tests into CI/CD pipelines and work with DevOps teams to optimize build-test-deploy workflows. Collaborate with developers and product managers to identify test requirements early in the development cycle. Perform defect tracking, reporting, and root cause analysis. Ensure high test coverage and maintain the scalability of automated suites as products evolve. Stay up to date with emerging tools, trends, and best practices in test automation and quality assurance. Preferred Skills What skills do you need ? Requirements 6 years of total experience in software testing, with a strong focus on test automation. Minimum 3+ years of hands-on experience in Python for automation scripting. Proficiency with one or more test frameworks : Selenium, Pytest, Robot Framework, Behave, or similar. Solid understanding of software QA methodologies, test processes, and best practices. Experience testing RESTful APIs using tools like Postman, requests (Python), or Pytest + requests. Experience with Git, Jenkins, Docker, or other CI/CD tools. Strong analytical and debugging skills, with a passion for high-quality software. Preferred Qualifications Exposure to AI/ML products or data-intensive systems is a plus. Experience with performance testing tools (e.g., Locust, JMeter) is an added advantage. Familiarity with cloud platforms (AWS, GCP, or Azure) and test automation in cloud-native environments. Understanding of basic DevOps and infrastructure-as-code practices. What We Offer Opportunity to work on advanced AI-driven platforms with high-quality engineering culture. A collaborative and fast-paced environment focused on innovation. Career growth and training in modern automation and AI QA practices. Compensation is not a constraint for the right candidate. (ref:hirist.tech) Show more Show less

Our Company Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent digital solutions that help organizations harness the power of AI to drive measurable business outcomes. Role Overview We are seeking a highly experienced and results-driven Senior Business Analyst with 8+ years of experience in gathering and defining business requirements for complex digital products and platforms. The ideal candidate will have a deep understanding of business processes, exceptional analytical skills, and experience in working with cross-functional teams on technology solutions especially in AI-driven or data-centric environments. Experience in the BFSI (Banking, Financial Services, and Insurance) domain is a strong plus, especially for candidates who have worked on digital transformation, risk & compliance, or intelligent automation in financial services. What we are looking from an ideal candidate ? Engage with internal and external stakeholders to capture business needs and translate them into clear technical and functional requirements. Define and document user stories, process flows, use cases, and BRDs/FRDs. Act as the liaison between business users, developers, QA teams, and product managers to ensure alignment. Analyze current workflows and suggest optimizations to support scalable AI/ML-enabled platforms. Work closely with engineering teams to support solution design and development. Support user acceptance testing, training, and change management efforts. Contribute to product strategy by providing insights based on business analysis and domain trends. Preferred Skills What skills do you need ? Requirements 8+ years of experience as a Business Analyst, preferably in technology product or enterprise solution environments. Strong understanding of Agile methodologies, tools like JIRA, Confluence, and modern product delivery practices. Proven experience with business process mapping, requirements elicitation, and solution validation. Excellent communication, stakeholder engagement, and presentation skills. Familiarity with data-driven and AI-integrated products is a strong advantage. Ability to work cross-functionally in fast-paced, iterative environments. Preferred Qualifications Experience in the BFSI domain (e.g., banking operations, lending, digital payments, fraud detection, insurance workflows). Exposure to AI/ML-based applications or data platforms. Certifications such as CBAP, PMI-PBA, CSPO, or CSM are desirable. Basic understanding of data analysis tools, dashboards, and BI reports. What We Offer Opportunity to work at the intersection of AI innovation and business transformation. A collaborative, intellectually stimulating work environment. Career growth pathways and access to cutting-edge tools and technologies. Attractive compensation no constraints for the right candidate. (ref:hirist.tech) Show more Show less

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, cutting-edge solutions that push the boundaries of what's possible through AI and human-machine collaboration. Role Overview We are looking for a highly skilled and creative Prompt Engineer with 3+ years of experience in working with Large Language Models (LLMs) and generative AI systems. In this role, you will design and optimize high-quality prompts that drive intelligent, context-aware behavior in our AI applications. You'll work across teams to create conversational experiences, copilots, and autonomous agents that solve real-world problems. Key Responsibilities Design, craft, and iterate high-performing prompts for use in generative AI systems, including chatbots, assistants, and intelligent agents. Collaborate with AI/ML engineers, UX designers, and product teams to build seamless, human-like experiences powered by LLMs. Evaluate and optimize prompts using model output analysis, human feedback, and automated testing. Apply prompt engineering techniques such as few-shot learning, chain-of-thought reasoning, function calling, and tool integration. Build and maintain prompt libraries, templates, and best practices documentation. Monitor LLM performance, identify weaknesses, and fine-tune prompt logic for specific use cases. Stay up to date with the latest advancements in prompting, LLM tuning, and AI safety practices. Requirements 3+ years of professional experience in prompt engineering, NLP, conversational AI, or a closely related field. Strong working knowledge of LLMs (OpenAI GPT-4, Claude, LLaMA, etc.) and prompt tuning techniques. Proven experience designing and optimizing prompts for real-world applications. Excellent analytical thinking and language structuring skills. Proficiency with Python, API integrations, and tools for working with generative AI models. Experience working in cross-functional teams on AI-driven product development. Strong understanding of AI capabilities, limitations, and ethical implications. Preferred Qualifications Experience with AI toolchains such as LangChain, Semantic Kernel, or vector databases (e.g, Pinecone, Weaviate). Background in linguistics, computational linguistics, cognitive science, or HCI. Familiarity with fine-tuning or reinforcement learning from human feedback (RLHF) is a plus. Experience designing prompts for multi-modal AI systems (text + image, speech, etc. What We Offer Work on high-impact projects at the cutting edge of AI innovation. A collaborative and intellectually curious environment. Compensation is not a constraint for the right candidate - we value skill, impact, and innovation. Access to continuous learning and professional development resources. (ref:hirist.tech) Show more Show less

We are looking for a Senior Software Engineer AI with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environmentfast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. Roles And Responsibilities Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). Design and implement Agentic AI systems autonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-end from research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. Skill Set 3 to 6 years of overall software development experience, with 3+ years specifically in AI/ML engineering. Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio). Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel). Experience building and deploying ML models to production environments. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts. Comfortable working in a startup-like environmentself-motivated, adaptable, and willing to take ownership. Solid understanding of API development, version control, and modern DevOps/MLOps practices. (ref:hirist.tech) Show more Show less

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, cutting-edge solutions designed to scale and evolve with the future of artificial intelligence. Role Overview We are looking for a skilled and versatile AI Infrastructure Engineer (DevOps/MLOps) to build and manage the cloud infrastructure, deployment pipelines, and machine learning operations behind our AI-powered products. You will work at the intersection of software engineering, ML, and cloud architecture to ensure that our models and systems are scalable, reliable, and production-ready. Key Responsibilities Design and manage CI/CD pipelines for both software applications and machine learning workflows. Deploy and monitor ML models in production using tools like MLflow, SageMaker, Vertex AI, or similar. Automate the provisioning and configuration of infrastructure using IaC tools (Terraform, Pulumi, etc. Build robust monitoring, logging, and alerting systems for AI applications. Manage containerized services with Docker and orchestration platforms like Kubernetes. Collaborate with data scientists and ML engineers to streamline model experimentation, versioning, and deployment. Optimize compute resources and storage costs across cloud environments (AWS, GCP, or Azure). Ensure system reliability, scalability, and security across all environments. Requirements 5+ years of experience in DevOps, MLOps, or infrastructure engineering roles. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and services related to ML workloads. Strong knowledge of CI/CD tools (e.g, GitHub Actions, Jenkins, GitLab CI). Proficiency in Docker, Kubernetes, and infrastructure-as-code frameworks. Experience with ML pipelines, model versioning, and ML monitoring tools. Scripting skills in Python, Bash, or similar for automation tasks. Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, CloudWatch, etc. Understanding of ML lifecycle management and reproducibility. Preferred Qualifications Experience with Kubeflow, MLflow, DVC, or Triton Inference Server. Exposure to data versioning, feature stores, and model registries. Certification in AWS/GCP DevOps or Machine Learning Engineering is a plus. Background in software engineering, data engineering, or ML research is a bonus. What We Offer Work on cutting-edge AI platforms and infrastructure. Cross-functional collaboration with top ML, research, and product teams. Competitive compensation package - no constraints for the right candidate. (ref:hirist.tech) Show more Show less

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, secure, and scalable digital platforms that power the future of AI across industries. Role Overview We are looking for a Senior Security Specialist with 8+ years of experience in cybersecurity, cloud security, and application security. You will be responsible for identifying, mitigating, and preventing threats across our technology landscape - particularly in AI-powered, data-driven environments. This role involves leading penetration testing efforts, managing vulnerability assessments, and implementing best-in-class security tools and practices to protect our platforms and clients. Key Responsibilities Design and implement robust security architectures for cloud-native and on-prem environments. Conduct penetration testing (internal/external, network, application, API) and deliver clear remediation strategies. Perform regular vulnerability assessments using industry-standard tools and frameworks. Lead threat modeling and risk assessments across systems, services, and data pipelines. Collaborate with development and DevOps teams to integrate security in SDLC and CI/CD pipelines (DevSecOps). Define and enforce security policies, incident response procedures, and access controls. Monitor for security breaches and investigate security events using SIEM and forensic tools. Ensure compliance with global standards such as ISO 27001, SOC 2, GDPR, and HIPAA. Provide guidance on secure implementation of AI/ML components and data protection strategies. Requirements 8+ years of experience in information security, application security, or cybersecurity engineering. Proficient in penetration testing methodologies and use of tools such as Burp Suite, Metasploit, Nmap, Wireshark, Nessus, OWASP ZAP, Qualys, etc. Deep experience in vulnerability management, patching, and security hardening practices. Strong understanding of OWASP Top 10, CWE/SANS Top 25, API security, and secure coding principles. Hands-on experience with cloud security (AWS, Azure, or GCP), IAM, firewalls, WAFs, encryption, and endpoint security. Familiarity with SIEM, EDR, IDS/IPS, and DLP solutions. Knowledge of DevSecOps and tools like Terraform, Kubernetes, Docker, etc. Excellent problem-solving, analytical, and incident-handling capabilities. Preferred Qualifications Certifications such as CISSP, CISM, CEH, OSCP, or AWS Security Specialty. Experience working on security aspects of AI/ML platforms, data pipelines, or model inferencing. Familiarity with governance and compliance frameworks (e.g, PCI-DSS, HIPAA). Experience in secure agile product environments and threat modeling techniques. What We Offer A mission-critical role securing next-gen AI systems. Opportunity to work with an innovative and fast-paced tech company. High visibility and leadership opportunities in a growing security function. Compensation is not a constraint for the right candidate. (ref:hirist.tech) Show more Show less

About Us DigiMantra Labs is an innovative tech and creative solutions hub with offices in Mohali and Ludhiana. We provide transformational value to businesses across sectors by building solutions that automate operations and help organizations become more visible in an ever-expanding internet-driven world. We offer unique career opportunities for individuals capable of playing valuable roles in an innovative and fun environment. Our four pillars of excellence Reliability, Honesty, Trust and Diligence ensure that our clients shine on the world wide web. Key Responsibilities Lead and manage a team of developers specializing in Python and Java, ensuring high performance and productivity. Design, develop, and maintain robust, scalable applications using Python frameworks (Django, Flask) and Java technologies (Spring, Hibernate). Work closely with product managers, designers, and other stakeholders to gather requirements and define project scope and objectives. Ensure application architecture is scalable and maintainable, adhering to best practices and coding standards. Conduct code reviews, provide constructive feedback, and promote a culture of continuous improvement within the team. Manage project timelines, deliverables, and resources to meet business objectives effectively. Troubleshoot and resolve technical issues promptly, ensuring high availability and performance of applications. Keep up with emerging technologies, trends, and best practices in software development, including AI and ML, and make recommendations for improvements. Leverage Artificial Intelligence (AI) and Machine Learning (ML) technologies to enhance the functionality and performance of applications. What We're Looking For A leader with 4+ years of experience in Python and Java development. Strong experience with frameworks like Django, Flask, Spring, Hibernate. Expertise in building scalable, high-performance applications. A passion for mentoring teams and promoting growth and innovation. A solution-oriented mindset with the ability to solve complex technical challenges. (ref:hirist.tech) Show more Show less

Designation : Senior Project Manager/Delivery Manager. Experience : 14-20 years. Job Location : Technopark campus, Trivandrum. Job Summary We are seeking a highly skilled Senior Project Manager / Delivery Manager with expertise in managing AI/ML-driven US healthcare products. The ideal candidate will have a strong background in healthcare technology, regulatory compliance (HIPAA, HL7, FHIR), and end-to-end project delivery. This role requires leadership in managing cross-functional teams, ensuring successful project execution, and driving AI/ML initiatives within healthcare solutions. Key Responsibilities Lead the development and delivery of AI/ML-powered healthcare products while ensuring compliance with US healthcare regulations. Oversee project lifecycle, including planning, execution, risk management, and stakeholder communication. Collaborate with AI/ML engineers, data scientists, and healthcare domain experts to drive innovation. Ensure adherence to HIPAA, HL7, FHIR, and other healthcare interoperability standards. Manage stakeholder expectations and work closely with clients, internal teams, and regulatory bodies. Define and track KPIs, project timelines, and budget while ensuring on-time delivery. Identify and mitigate project risks while ensuring scalability and efficiency of AI/ML solutions. Lead and mentor project teams, fostering an agile and results-driven culture. Required Skills & Qualifications 14+ years of IT project management experience, with a strong focus on US healthcare products. Proven expertise in AI/ML applications in healthcare (predictive analytics, NLP, automation, etc. Deep understanding of healthcare compliance standards (HIPAA, HL7, FHIR, DICOM, etc. Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI/ML technologies. Strong knowledge of Agile, Scrum, and SAFe methodologies. Excellent leadership, communication, and stakeholder management skills. PMP, CSM, or SAFe certification is a plus. Preferred Qualifications Experience in healthcare product development and deployment in the US market. Strong technical background in data science, AI frameworks (TensorFlow, PyTorch), and MLOps. Prior experience working with healthcare payers, providers, or pharma companies. (ref:hirist.tech) Show more Show less

Job Description : AI Product Manager (1Data) Location : Delhi (near Okhla NSIC Metro station) Product Overview 1Data is a revolutionary platform transforming electronics supply chain intelligence through advanced analytics, pricing intelligence, compliance tracking, and risk management. Our technology integrates global data sources, AI-driven insights, and seamless enterprise connectivity to empower businesses with unparalleled clarity, agility, and decision-making capabilities. Position Overview As the Product Manager at 1Data, you will lead the vision, strategy, and execution of our AI-driven products and features, addressing complex global supply chain challenges. Collaborating closely with engineering, data science, design, customers and business teams, you will champion innovative AI solutions, leveraging machine learning and large language models (LLMs) to deliver exceptional value to customers. Your work will significantly influence product direction and company growth. Key Responsibilities Define, articulate, and continuously evolve the product vision and roadmap, aligning closely with 1Datas strategic goals. Conduct extensive market research and competitive analysis specific to AI-driven analytics and supply chain intelligence. Translate sophisticated AI capabilities and customer needs into clear, actionable product requirements, user stories, and acceptance criteria. Collaborate with data science and engineering teams to develop, validate, and launch cutting-edge AI models and solutions. Lead customer discovery, validate AI-driven concepts, and incorporate user feedback to ensure the highest product impact and customer satisfaction. Measure, track, and analyze product performance metrics, using data-driven insights to optimize and enhance AI-driven features. Champion agile product management methodologies to accelerate product delivery cycles and foster innovation. Key Qualifications Bachelors degree in Computer Science/ Electronics, Engineering, Business, or related fields; Masters degree or MBA preferred. 6+ years of product management experience, specifically with AI-driven platforms, SaaS, or advanced analytics products. Demonstrated experience launching and scaling AI-powered products with measurable commercial impact. Deep understanding of AI/ML frameworks, large language models (LLMs), big data technologies, and cloud infrastructures. Strong analytical abilities, proficiency with analytics tools, and experience in data-driven decision-making. Exceptional leadership, communication, and cross-functional collaboration skills. Familiarity with enterprise integrations (ERP, SAP, Oracle) and understanding of supply chain management processes highly desirable. Preferred Competencies Strategic AI Leadership : Proven ability to conceptualize and implement advanced AI solutions strategically aligned with business objectives. Customer-Centric Innovation : Strong aptitude for deeply understanding customer challenges and crafting AI solutions that deliver exceptional value. Data and AI Proficiency : Expertise in AI/ML methodologies, advanced analytics, and big data management. Agile Product Delivery : Demonstrated success in leading agile teams to rapidly deliver impactful AI features. Technical Communication : Adept at bridging complex technical and business concepts, particularly around AI and data science topics. Why Join 1Buy.ai? Innovate at the intersection of AI and electronics procurement, reshaping global supply chains. Join an award-winning team recognized for industry-leading innovation. Contribute directly to solutions that impact global electronics manufacturing businesses. Enjoy robust opportunities for career growth and professional development within a dynamic, collaborative environment. (ref:hirist.tech) Show more Show less

The IT Quality Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. IT Quality Sr Analyst Treasury and FP&A Technology is looking for a seasoned senior quality engineer to plan, lead, and execute testing strategy for Global Funds Transfer Pricing Application. This role requires a hands-on senior quality engineer who has architected robust automation frameworks, had sound experience in enhancing testing efficiency, and can ensure seamless software delivery of highest quality. The ideal candidate will bring expertise in automation tools, agile methodologies, and quality engineering best practices to transform and enhance current testing and automation engineering landscape. Responsibilities: Plan, lead, and execute testing automation strategy for CitiFTP. Continuously monitor automation coverage and enhance the existing automation framework to increase the automation coverage. Design, Develop, and Implement scalable and maintainable automation frameworks for UI, API, and data validation testing on Big Data/Hadoop platform. Collaborate with other testing areas, development teams, product owners, and business partners to integrate automation into the agile SDLC. Enhance the efficiency of regression, and end-to-end testing using automation. Develop robust test scripts and maintain automation suites to support rapid software releases. Improve overall test coverage, defect detection, and release quality through automation. Establish and track key QA metrics e.g. defect leakage, test execution efficiency, automation coverage. Advocate for best practices in test automation, including code reviews, re-usability and maintainability. Drive the adoption of AI/ML-based testing tools and emerging trends in test automation. Manage, mentor, and upskill a team of test engineers in automation practices. Foster a culture of continuous learning and innovation within the testing community. Define career development paths and ensure team members stay up to date with industry advancements. Analyze trends at an organizational level to improve processes; follows and analyzes industry trends. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards. Qualifications: 10+ years of experience in functional and non-functional software testing 3+ years of experience as Test Automation Lead Expertise in test automation frameworks / tools like Jenkins, Selenium, Cucumber, TestNG, Junit, Cypress. Strong programming skills in Java, Python or any other programming or scripting language. Expertise in SQL. Experience with API testing tools (Postman, RestAssured) and performance testing tools (JMeter, LoadRunner) Expertise in build tools like Maven / Gradle, continuous integration tools like Jenkins, source management tools like Git/GitHub. Strong knowledge of Agile, Scrum, and DevOps practices. Strong knowledge of functional Test tool (JIRA). Familiarity with cloud-based test execution – AWS, Azure, or GCP. Familiarity with big data testing (Spark, HDFS) and database testing automation (Oracle, SQL). Preferred - Experience with AI-driven test automation and advanced test data management strategies Preferred – Certifications such as ISTQB Advanced, Certified Agile Tester, or Selenium WebDriver certification Exposure to banking / financial domains, particularly Treasury applications is a plus Requires communication and diplomacy skills and an ability to persuade and influence Hands on in code review, unit testing and integration testing Very Confident, innovative, self-motivated, aggressive and results oriented Ideal candidate should be passionate about automation in quality engineering Education: Bachelor’s/University degree ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Technology Quality ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Job Title : Senior Data Scientist Location : Matrix Tower, Pune, India Experience : 1012 Years Joining : Immediate Joiners Preferred (May Joiners) Mode of Interview : Virtual Drive (Date TBD) Job Summary As a Senior Data Scientist at Emerson, you will analyze large-scale data sets to uncover trends, develop machine learning models, and deliver actionable insights. You will collaborate across teams to design data-driven solutions that support strategic decisions and operational improvements. Key Responsibilities Analyze complex datasets to identify patterns and insights. Design and deploy predictive models and algorithms to solve business challenges. Build dashboards and visualizations for stakeholders. Collaborate with cross-functional teams to align data solutions with business goals. Clean, process, and validate data for quality and accuracy. Present findings, model outcomes, and KPIs to senior leadership. Participate in Agile/Scrum ceremonies and contribute to iterative development. Stay current with advances in AI, ML, and data science trends. Requirements Bachelors degree in Computer Science, Data Science, Statistics, or related field (Masters preferred). 1012 years of total experience with 5+ years in data science/analytics roles. Strong expertise in ML techniques (e.g., CNN, RNN, SVM, Decision Forests). Experience with NLP, NLG, and Large Language Models (e.g., GPT, BERT, PaLM). Proficient in Python or R, with libraries like pandas, NumPy, TensorFlow, PyTorch. Familiar with visualization tools : Tableau, Power BI, Matplotlib, Seaborn. Experience working with SQL and NoSQL (e.g., MongoDB, Cassandra). Solid communication skills to explain technical insights to non-technical teams. Preferred Qualifications Background in engineering domain. Experience with Scaled Agile Framework (SAFe). Certifications from recognized AI/data science programs. Familiarity with Microsoft Azure or other cloud platforms. Strong analytical, troubleshooting, and multitasking abilities. (ref:hirist.tech) Show more Show less

The IT Quality Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. IT Quality Sr Analyst Treasury and FP&A Technology is looking for a seasoned senior quality engineer to plan, lead, and execute testing strategy for Global Funds Transfer Pricing Application. This role requires a hands-on senior quality engineer who has architected robust automation frameworks, had sound experience in enhancing testing efficiency, and can ensure seamless software delivery of highest quality. The ideal candidate will bring expertise in automation tools, agile methodologies, and quality engineering best practices to transform and enhance current testing and automation engineering landscape. Responsibilities: Plan, lead, and execute testing automation strategy for CitiFTP. Continuously monitor automation coverage and enhance the existing automation framework to increase the automation coverage. Design, Develop, and Implement scalable and maintainable automation frameworks for UI, API, and data validation testing on Big Data/Hadoop platform. Collaborate with other testing areas, development teams, product owners, and business partners to integrate automation into the agile SDLC. Enhance the efficiency of regression, and end-to-end testing using automation. Develop robust test scripts and maintain automation suites to support rapid software releases. Improve overall test coverage, defect detection, and release quality through automation. Establish and track key QA metrics e.g. defect leakage, test execution efficiency, automation coverage. Advocate for best practices in test automation, including code reviews, re-usability and maintainability. Drive the adoption of AI/ML-based testing tools and emerging trends in test automation. Manage, mentor, and upskill a team of test engineers in automation practices. Foster a culture of continuous learning and innovation within the testing community. Define career development paths and ensure team members stay up to date with industry advancements. Analyze trends at an organizational level to improve processes; follows and analyzes industry trends. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards. Qualifications: 10+ years of experience in functional and non-functional software testing 3+ years of experience as Test Automation Lead Expertise in test automation frameworks / tools like Jenkins, Selenium, Cucumber, TestNG, Junit, Cypress. Strong programming skills in Java, Python or any other programming or scripting language. Expertise in SQL. Experience with API testing tools (Postman, RestAssured) and performance testing tools (JMeter, LoadRunner) Expertise in build tools like Maven / Gradle, continuous integration tools like Jenkins, source management tools like Git/GitHub. Strong knowledge of Agile, Scrum, and DevOps practices. Strong knowledge of functional Test tool (JIRA). Familiarity with cloud-based test execution – AWS, Azure, or GCP. Familiarity with big data testing (Spark, HDFS) and database testing automation (Oracle, SQL). Preferred - Experience with AI-driven test automation and advanced test data management strategies Preferred – Certifications such as ISTQB Advanced, Certified Agile Tester, or Selenium WebDriver certification Exposure to banking / financial domains, particularly Treasury applications is a plus Requires communication and diplomacy skills and an ability to persuade and influence Hands on in code review, unit testing and integration testing Very Confident, innovative, self-motivated, aggressive and results oriented Ideal candidate should be passionate about automation in quality engineering Education: Bachelor’s/University degree ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Technology Quality ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

The Applications Development Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements Identify and analyze issues, make recommendations, and implement solutions Utilize knowledge of business processes, system processes, and industry standards to solve complex issues Analyze information and make evaluative judgements to recommend solutions and improvements Conduct testing and debugging, utilize script tools, and write basic code for design specifications Assess applicability of similar experiences and evaluate options under circumstances not covered by procedures Develop working knowledge of Citi’s information systems, procedures, standards, client server application development, network operations, database administration, systems administration, data center operations, and PC-based applications Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Additional Job Description We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company. Responsibilities Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities Implementing data wrangling, scarping, cleaning using both Java or Python Strong experience on data structure. Extensively work on API integration. Monitoring performance and advising any necessary infrastructure changes Defining data retention policies Skills And Qualifications Proficient understanding of distributed computing principles Proficient in Java or Pyhton and some part of machine learning Proficiency with Hadoop v2, MapReduce, HDFS,Pyspark,Spark Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala Experience with Spark Experience with integration of data from multiple data sources Experience with NoSQL databases, such as HBase, Cassandra, MongoDB Knowledge of various ETL techniques and frameworks, such as Flume Experience with various messaging systems, such as Kafka or RabbitMQ Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O Good understanding of Lambda Architecture, along with its advantages and drawbacks Experience with Cloudera/MapR/Hortonworks Qualifications: 0-2 years of relevant experience Experience in programming/debugging used in business applications Working knowledge of industry practice and standards Comprehensive knowledge of specific business area for application development Working knowledge of program languages Consistently demonstrates clear and concise written and verbal communication Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI applications. Additional Information: - The candidate should have minimum 7.5 years of experience in Large Language Models. - This position is based in Pune. - A 15 years full time education is required. 15 years full time education Show more Show less

Job Title : AI/ML & Data Science Roles - GenAI, ML, NLP Experts Locations : Chennai & Gurgaon/NCR Experience : 5 to 8 Years Open Positions : 9 Job Type : Full-Time | Hybrid / On-Site About The Role We are seeking skilled and motivated AI/ML professionals with a strong background in Data Science, Machine Learning, and Generative AI. The ideal candidates will have experience in designing, building, and deploying scalable AI/ML models and frameworks for solving real-world business problems across financial and enterprise domains. You will collaborate with cross-functional teams, including product, engineering, and strategy, to develop AI solutions that create measurable impact. Key Responsibilities (may vary slightly based on role level) : Design and develop advanced ML/GenAI models using Python, TensorFlow, PyTorch, or similar frameworks. Work on Generative AI models including LLMs, Transformers, prompt engineering, fine-tuning, and evaluation. Lead or contribute to end-to-end ML lifecycle : data collection, preprocessing, feature engineering, modeling, deployment, and monitoring. Apply NLP, computer vision, or time series modeling techniques based on project requirements. Develop reusable AI/ML frameworks, pipelines, and APIs. Collaborate with business stakeholders to identify opportunities for AI/ML intervention. Interpret model results, generate insights, and communicate findings to both technical and non-technical audiences. Ensure compliance with model governance, risk management, and ethical AI practices. Preferred Qualifications (All Roles) Bachelor's/Master's/PhD in Computer Science, Data Science, Engineering, Statistics, or related fields. 5 to 8 years of hands-on experience in ML/AI/Data Science. Proficiency in Python, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with SQL and cloud platforms (AWS, Azure, or GCP). Strong understanding of ML algorithms, model evaluation metrics, and deployment strategies. Exposure to GenAI concepts including transformers, embeddings, LLM APIs (OpenAI, Cohere, Anthropic, etc.) Excellent problem-solving and communication skills. Strong publication record or innovative project portfolio in NLP, deep learning, or GenAI. (ref:hirist.tech) Show more Show less

Job Description We are seeking an experienced, hands-on Senior Architect with 8 to 15 years of experience to join our team and lead the design and development of highly secure, scalable, and high-performance banking and insurance platforms. The ideal candidate will have strong expertise in .NET Core, Micro services, and preferably Azure cloud technologies. The ideal candidate will have a strong background in distributed systems, enterprise integration, and preferably cloud-native application design. Responsibilities As a Senior Architect, you will collaborate with key stakeholders to design solutions that align with both business and technical needs while incorporating API-first, Security-by-Design, and OWASP Responsibilities : Understanding project goals and leveraging industry best practices to define best-fit architectural solutions to meet the business needs. Detailing the technical design of systems/services, while also reviewing design and code created by the team. Collaborating with project managers/scrum-masters/product-owners in drawing out epics/user stories and in high-level effort estimations and timelines for program increments. Lead the design and hands-on development of scalable, cloud-native solutions using . NET Core, MS-SQL, Oracle, PostgreSQL, and preferably Azure. Building proof of concepts involving various technologies to prove the feasibility of the solution. Implement microservices architecture based on Domain-Driven Design (DDD) principles to ensure modularity, scalability, and high performance. Define and implement an API-first strategy, ensuring all services are reusable, discoverable, and governed. Guide the design and implementation of CI/CD pipelines, containerization strategies (Docker/Kubernetes), and cloud-native deployments (Azure Kubernetes Service AKS). Monitor system performance, ensure observability, and address any performance bottlenecks early in the development cycle. Technical Skills Bachelor's degree in Computer Engineering, Computer Science, or a related field. 8-15 years of experience in performance optimization, software development and architecture with a strong focus on .NET (7+) technology. Hands-on experience with ASP.NET and C#. Expertise in RESTful API development, Microservices, Design patterns and Event-Driven Architectures. It is preferable that you have worked on Microsoft Azure, Azure Storage, Azure Functions, Azure SQL DB, Bitbucket and FxCop. Hands-on experience with Security-by-Design, implementing Multi-Factor Authentication (Authenticator apps, OTPs, Biometrics, Face recognition). Hands-on experience with authorization mechanisms (OAuth, JWT, OpenID Connect and Secure API management, token security, and encryption at rest/in-transit. Strong knowledge of the banking and financial services industry, including core banking, payments, risk, and compliance. Knowledge of AI/ML in financial applications. Certifications in AWS/GCP, TOGAF, or relevant architectural frameworks. (ref:hirist.tech) Show more Show less

As a Gen AI Engineer , you will be responsible for developing, optimizing, and deploying AI models and solutions with a focus on Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG) models, and Large Language Models (LLMs). You will collaborate closely with cross-functional teams to design and implement scalable AI solutions on various cloud platforms. Key Responsibilities AI Model Development : Design, train, and fine-tune generative AI models, LLMs, and RAG models to address specific business use cases. Prompt Engineering : Develop, test, and optimize prompts to enhance the performance and accuracy of AI models in generating desired outputs. Cloud Expertise : Deploy and manage AI models on cloud platforms (e.g., AWS, Azure, GCP) ensuring scalability, security, and cost-efficiency. Data Management : Collaborate with data scientists and engineers to ensure high-quality data ingestion, preprocessing, and feature engineering. Model Evaluation & Tuning : Continuously monitor and evaluate model performance, making adjustments to improve accuracy and efficiency. Innovation : Stay up-to-date with the latest advancements in AI, LLMs, and cloud technologies, and incorporate new techniques and tools into the development process. Collaboration : Work closely with product managers, software engineers, and other stakeholders to integrate AI solutions into products and services. Documentation : Maintain comprehensive documentation of models, algorithms, and development processes to ensure transparency and : Education : Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. Experience : Proven experience in developing and deploying AI models, particularly in Generative AI, LLMs, and RAG models. Hands-on experience with cloud platforms like AWS, Azure, or GCP for AI/ML workloads. Strong background in Prompt Engineering and AI model optimization techniques. Technical Skills Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. Experience with NLP, machine learning algorithms, and data preprocessing. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Familiarity with MLOps practices and tools for continuous integration and deployment. Soft Skills Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and methodologies (ref:hirist.tech) Show more Show less

About The Role We are on a mission to build cutting-edge, scalable Generative AI (GenAI) solutions that deliver real-world impact. If you've worked on GenAI projects, deployed APIs, debugged endpoints, and enjoy working at the intersection of Python, cloud-native infrastructure, and modern front-end extensionsthis is your opportunity to make a mark. You will join a dynamic and fast-paced team where youll help build, deploy, and maintain GenAI-based systems at scale using tools such as Python, Docker, Kubernetes, and TypeScript-based extensions. Key Responsibilities Design, develop, and deploy scalable Python APIs that serve GenAI models and related functionalities. Manage containerized applications with Docker and deploy them on Kubernetes clusters for high availability and performance. Troubleshoot and debug complex issues, including API endpoint failures, latency problems, and deployment inconsistencies. Develop interactive TypeScript extensions, integrating them with backend systems and GenAI services. Collaborate with data scientists and ML engineers to integrate LLM (Large Language Model) capabilities into production systems. Monitor application health, ensure proper scaling, and implement DevOps best practices. Work cross-functionally with teams across engineering, product, and AI to ensure timely delivery and optimal Qualifications : 5+ years of experience working on GenAI projects or relevant exposure to generative model-based applications. Should have worked min of 2 projects on Gen AI Strong expertise in Python, with a deep understanding of building APIs (using FastAPI, Flask, or similar frameworks). Hands-on experience with Docker for containerization and managing production-grade deployments on Kubernetes. Proven ability to deploy, scale, and monitor APIs in cloud-native environments. Proficiency in TypeScript, with experience building extensions or interactive front-end modules. Familiarity with LLM architectures (e.g., GPT, LLaMA, Claude) and experience working with their APIs or open-source implementations. Strong debugging skills and the ability to investigate and resolve issues across the stack. Nice To Have Experience with API gateways, observability tools (Prometheus, Grafana), or CI/CD pipelines. Familiarity with vector databases or GenAI toolkits like LangChain, RAG frameworks, or OpenAI/Anthropic APIs. Exposure to MLOps practices and model deployment Join Us : Work on frontier AI technology with real-world applications. Join a collaborative and high-performing team passionate about GenAI. Opportunities for growth and ownership in a fast-evolving tech landscape. (ref:hirist.tech) Show more Show less

Job Description: Head of Software Engineering Position Title: Head of Software Engineering Location: Mumbai or Delhi Reports To: Chief Technology Officer (CTO) / Co-Founder Team Size: 40+ Technologists (Engineers, Developers, Architects, QA, etc.) About SequelString AI SequelString AI is a recognized startup under the Government of Indias Make in India initiative, based in Mumbai. We specialize in AI-driven automation and digitization solutions for industries such as banking, utilities, healthcare, and more. Our platform supports multilingual and handwritten data extraction, inbuilt validation, and seamless integration with enterprise systems. Founded by alumni of Harvard and professionals from major platform companies, we are committed to innovation, sustainability, and excellence. Job Summary We are seeking a visionary Head of Engineering to lead SequelString AIs engineering team and drive the technical execution of our product roadmap. This role will be responsible for aligning engineering efforts with the companys vision, ensuring the delivery of high-quality, scalable, and innovative solutions. The ideal candidate will have a strong technical background, leadership experience, and a passion for building cutting-edge AI and automation platforms. Key Leadership and Vision Define and execute the engineering vision and strategy in alignment with SequelString AIs business goals. Drive innovation in AI, machine learning, and automation technologies to maintain a competitive edge. Ensure the platforms scalability, reliability, and security to meet growing customer demands. Team Leadership and Development Lead, mentor, and grow a high-performing team of 40+ technologists, including engineers, developers, architects, and QA professionals. Foster a culture of collaboration, innovation, and continuous learning within the engineering team. Recruit top talent and build a diverse, world-class engineering organization. Product Development and Delivery Oversee the end-to-end development lifecycle of SequelString AIs platform, ensuring timely and high-quality delivery of features and products. Collaborate with product management, design, and business teams to translate business requirements into technical solutions. Ensure adherence to ISO 27001 and SOC 2 Type 2 standards for quality and security. Technical Excellence and Innovation Stay updated on emerging technologies and industry trends to drive innovation within the engineering team. Implement best practices for software development, including agile methodologies, CI/CD pipelines, and DevOps. Ensure the platforms architecture is robust, scalable, and Collaboration Work closely with the CTO, co-founders, and other leadership team members to align engineering efforts with business objectives. Collaborate with sales, marketing, and customer success teams to ensure the platform meets customer needs and expectations. Act as a technical advisor to stakeholders across the organization. Operational Excellence Define and track key engineering metrics to measure team performance and product quality. Manage engineering budgets, resources, and timelines effectively. Ensure compliance with data security and privacy regulations, including DPDP laws. Qualifications and Bachelors or Masters degree in Computer Science, Engineering, or a related field. Experience 12+ years of experience in software engineering, with at least 5 years in a leadership role managing large engineering teams. Proven track record of building and scaling AI-driven platforms or enterprise software solutions. Experience with cloud technologies (AWS, Azure, GCP), microservices architecture, and DevOps practices. Strong understanding of AI/ML technologies, data extraction, and automation tools. Skills Exceptional leadership and team-building skills. Strong problem-solving and decision-making abilities. Excellent communication and stakeholder management skills. Deep knowledge of software development methodologies (Agile, Scrum, Kanban). Familiarity with ISO 27001, SOC 2 Type 2, and other compliance standards. Preferred Experience working in a startup environment or high-growth company. Knowledge of multilingual and handwritten data processing technologies. Passion for sustainability and reducing carbon footprint through technology. Why Join SequelString AI ? Be part of a recognized startup under the Make in India initiative. Work with a team of Harvard alumni and industry experts. Opportunity to lead and shape the engineering vision of a cutting-edge AI platform. Contribute to sustainable and innovative solutions that reduce carbon footprint and promote ESG standards. Competitive compensation, benefits, and growth opportunities. (ref:hirist.tech) Show more Show less

Location : BKC, Mumbai, Maharashtra, India (On-site, Full-time) Experience : 3+ Years Job Summary We are seeking a highly motivated and skilled Associate AI & Tech with 3+ years of relevant experience to join our growing team in BKC, Mumbai. This role is ideal for a proactive individual eager to apply their knowledge of Artificial Intelligence and broader technological concepts to real-world business problems. You will be instrumental in researching, developing, and implementing AI-powered solutions, contributing directly to our strategic initiatives and product offerings. Key Responsibilities AI/ML Application : Participate in the design, development, and implementation of AI and Machine Learning models to address specific business needs. Data Handling : Assist in the end-to-end data lifecycle, including data acquisition, cleaning, transformation, and preparation for model training and analysis. Technology Integration : Explore and integrate various AI/ML platforms, tools, and libraries (Python ML frameworks, cloud AI services) into existing or new systems. Problem Solving : Actively identify technical challenges, conduct root cause analysis, and propose innovative and effective AI/tech-driven solutions. Research & Evaluation : Conduct in-depth research on emerging AI technologies, methodologies, and industry trends to inform solution design and keep our approaches cutting-edge. Documentation : Create clear, concise, and comprehensive technical documentation, including solution designs, model specifications, and process flows. Cross-functional Collaboration : Work closely with senior engineers, data scientists, project managers, and business stakeholders to translate requirements into technical solutions and ensure successful project delivery. Performance Monitoring : Assist in monitoring the performance of deployed AI models and systems, identifying areas for optimization and improvement. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related quantitative field. 3+ years of hands-on professional experience in roles involving AI, Machine Learning, data analysis, or software development with a strong AI focus. Solid understanding of Artificial Intelligence and Machine Learning concepts and algorithms. Proficiency in Python for data manipulation, analysis, and ML model development (Pandas, NumPy, Scikit-learn, TensorFlow/Keras/PyTorch). Experience with SQL for data extraction and manipulation. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services. Strong analytical and problem-solving skills with a keen eye for detail. Excellent written and verbal communication skills, capable of articulating technical concepts clearly. Ability to work effectively in a fast-paced, team-oriented, and dynamic environment (ref:hirist.tech) Show more Show less

About The Role We're looking for a Senior Data Scientist with hands-on experience in machine learning, GenAI, and cloud platforms to solve real-world problems in the BFSI/Insurance space. You'll work with a collaborative team to build and deploy models that drive business impact - from fraud detection and churn prediction to customer segmentation and unstructured data analysis. What You'll Do Build ML models (XGBoost, Neural Networks, Random Forests) for classification, regression, anomaly detection, and more. Use unsupervised learning techniques for segmentation, clustering, and cohort creation. Apply LLMs and GenAI for insights from unstructured data (e.g., call transcripts, agent notes). Deploy solutions on cloud platforms (preferably AWS) using tools like Databricks, SageMaker, Lambda, Docker, etc. Implement MLOps best practices - versioning, CI/CD, monitoring. Collaborate with business teams to translate models into insights that matter. What You Bring 5+ years of experience in data science roles. 1-2 years working in BFSI or Insurance domain. Proficient in Python, SQL, Databricks. Strong understanding of ML fundamentals including optimization techniques like gradient descent. Experience with GenAI/LLMs (nice to have). Cloud experience (AWS preferred) with exposure to end-to-end model deployment. Great communication skills and a problem-solving mindset. (ref:hirist.tech) Show more Show less

Role : Senior Generative AI Engineer Location : Chennai (on-site) Exp : 3 - 5 years FarmwiseAI is a leading Geospatial AI company based in Chennai, specializing in AI driven agriculture solutions that enable data-driven decision-making for governments, lenders, and businesses. Founded in 2020, we deliver real-time advisory, automated land mapping, and crop-monitoring products at scale to foster sustainable development. As an AI-first organization, we embed AI assistance across our entire product lifecycle from brainstorming and architecture to testing and deployment to empower every team member to leverage AI in their day-to-day work. We are hiring a Generative AI Engineer to build, deploy, and optimize multimodal AI services across text, speech, and vision. You'll work on RAG, synthetic data generation, agent workflows, and integrate STT/TTS/OCR with scalable backend systems. Generative Pipelines : Design applications for RAG, CAG, text classification, summarization, image/video generation, OCR, and synthetic data generation. Multimodal Integration : Work with STT, TTS, IVR, OCR, and vision inputs to enable seamless AI interactions. AI Agent Workflows : Develop modular, multi-step orchestrations for document, conversational, and data-based user journeys. Containerization & Deployment : Collaborate with DevOps to containerize services, manage Kubernetes orchestration, and implement CI/CD for agile delivery. Observability : Instrument services using OpenTelemetry, Prometheus, and logging tools to ensure SLO-driven production reliability. Collaboration : Work cross-functionally with product, data science, and frontend teams to define APIs (REST/GraphQL) and ensure smooth integration. Documentation & Mentorship : Participate in architecture reviews, write clear documentation, and mentor junior engineers and interns Bachelor's/Masters in Computer Science, Data Science, IT, or related field. 2 - 3 years of experience building AI/ML products in Python. Must be proficient in AI-first coding tools like Claude Code, Cursor, Roocode, etc. Proven experience in deploying GenAI applications and agents in production. Strong hands-on with vector search, embedding-based retrieval, STT, TTS, OCR/vision. Familiarity with Docker, Kubernetes, frontend development, and CI/CD workflows. Strong debugging, performance tuning, and cost-optimization skills. Excellent communication, teamwork, and mentoring abilities. Languages & Tools (mandatory) : Python (pandas, scikit-learn, PyTorch, Tensorflow, etc.), Git/GitHub , AWS or GCP. Generative AI stack (mandatory) : LangChain, LlamaIndex, transformers, frontier LLMs (OpenAI, Anthropic, Gemini models) and open models (DeepSeek, Qwen, Llama and Phi models). Vector stores : FAISS, Pinecone, Qdrant, Weaviate, etc. Keyword Index : Elasticsearch, Apache Solr, Typesense, etc. Validation frameworks : Pydantic, Instructor, etc. LLM Abstraction libraries : Lite LLM Asynchronous or parallel programming : asyncio, joblib, etc. API frameworks : FastAPI, Flask, etc. FE prototyping : Streamlit, Gradio, etc Agentic AI Frameworks (mandatory, 1) : Google Agents Development Kit , LangGraph, OpenAI Agents SDK, PydanticAI. Speech & Vision (nice-to-have) : OpenAI Realtime Voice API/Whisper; ElevenLabs/Smallest.ai TTS; LlamaParse/JinaAI/Mistral OCR. Observability & Monitoring (nice-to-have) : OpenTelemetry, Prometheus , LangSmith, Pydantic Logfire . Cloud & DevOps (nice-to-have) : Docker, Kubernetes, GitHub Actions. Domain experience in AgriTech, FinTech, HRTech or EduTech. Experience and profound interest in reading and implementing research papers. Open-source contributions or published evaluation suites. Exposure to managed cloud AI services (Vertex AI, Bedrock, JumpStart). Familiarity with React/Next.js integration (ref:hirist.tech) Show more Show less

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