2068 Inference Jobs - Page 28

About the Company : We are seeking a talented and driven Machine Learning Engineer with 2-5 years of experience to join our dynamic team in Chennai. The ideal candidate will have a strong foundation in machine learning principles and extensive hands-on experience in building, deploying, and managing ML models in production environments. A key focus of this role will be on MLOps practices and orchestration, ensuring our ML pipelines are robust, scalable, and automated. About the Role : A short paragraph summarizing the key role responsibilities. Responsibilities : ML Model Deployment & Management : Design, develop, and implement end-to-end MLOps pipelines for deploying, monitoring, and managing machine learning models in production. Orchestration : Utilize orchestration tools (e.g., Apache Airflow, Kubeflow, AWS Step Functions, Azure Data Factory) to automate ML workflows, including data ingestion, feature engineering, model training, validation, and deployment. CI/CD for ML : Implement Continuous Integration/Continuous Deployment (CI/CD) practices for ML code, models, and infrastructure, ensuring rapid and reliable releases. Monitoring & Alerting : Establish comprehensive monitoring and alerting systems for deployed ML models to track performance, detect data drift, model drift, and ensure operational health. Infrastructure as Code (IaC) : Work with IaC tools (e.g., Terraform, CloudFormation) to manage and provision cloud resources required for ML workflows. Containerization : Leverage containerization technologies (Docker, Kubernetes) for packaging and deploying ML models and their dependencies. Collaboration : Collaborate closely with Data Scientists, Data Engineers, and Software Developers to translate research prototypes into production-ready ML solutions. Performance Optimization : Optimize ML model inference and training performance, focusing on efficiency, scalability, and cost-effectiveness. Troubleshooting & Debugging : Troubleshoot and debug issues across the entire ML lifecycle, from data pipelines to model serving. Documentation : Create and maintain clear technical documentation for MLOps processes, pipelines, and infrastructure. Qualifications : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field. 2-5 years of professional experience as a Machine Learning Engineer, MLOps Engineer, or a similar role. Required Skills : Strong proficiency in Python and its ML ecosystem (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy). Hands-on experience with at least one major cloud platform (AWS, Azure, GCP) and their relevant ML/MLOps services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI). Proven experience with orchestration tools like Apache Airflow, Kubeflow, or similar. Solid understanding and practical experience with MLOps principles and best practices. Experience with containerization technologies (Docker, Kubernetes). Familiarity with CI/CD pipelines and tools (e.g., GitLab CI/CD, Jenkins, Azure DevOps, AWS CodePipeline). Knowledge of database systems (SQL and NoSQL). Excellent problem-solving, analytical, and debugging skills. Strong communication and collaboration abilities, with a capacity to work effectively in an Agile environment.

Company Description Loyyal is a loyalty and payments innovation company that offers an Enterprise SaaS Suite powered by patented blockchain technology. We focus on disrupting the loyalty industry by delivering efficiency, security, and scalability at a low cost. Our platform is designed to reduce operational complexity and boost revenue for loyalty programs, driving customer engagement and loyalty in a competitive marketplace. About the Role We’re looking for a seasoned AI Engineer who thrives on solving complex challenges and building intelligent systems that scale. This role is ideal for someone passionate about deep learning, GenAI, and production-grade AI systems. You’ll work closely with our data, engineering, and product teams to design, build, and deploy advanced AI models across a variety of real-world use cases. As a Senior AI Engineer, you’ll play a key role in architecting, developing, and optimizing our AI systems—from fine-tuning large language models to building robust MLOps pipelines. This is an opportunity to be part of a high-impact team shaping next-generation AI experiences. Key Responsibilities Design, build, and deploy scalable AI models, with a focus on NLP, LLMs, and Generative AI use cases Fine-tune open-source or proprietary LLMs (e.g., LLaMA, Mistral, GPT-J) for domain-specific tasks Collaborate with product and engineering teams to integrate AI models into user-facing applications Develop MLOps pipelines using tools like MLflow, Kubeflow, or Vertex AI for model versioning, monitoring, and deployment Optimize inference performance, memory usage, and cost efficiency in production environments Apply prompt engineering, retrieval-augmented generation (RAG), and few-shot techniques where appropriate Conduct experiments, A/B testing, and evaluations to continuously improve model accuracy and reliability Stay up to date with the latest developments in AI/ML research, especially in LLM and GenAI domains Write clean, modular, and well-documented code and contribute to technical design reviews Mentor junior team members and collaborate in agile sprint cycles Requirements 6+ years of experience in machine learning or AI engineering 2+ years working with LLMs, Transformers, or Generative AI models Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers) Experience deploying AI models in production (cloud-native or on-prem) Strong grasp of model fine-tuning, quantization, and serving at scale Familiarity with MLOps, including experiment tracking, CI/CD, and containerization (Docker, Kubernetes) Experience integrating AI with REST APIs, cloud services (AWS/GCP), and vector databases (e.g., Pinecone, Weaviate, FAISS) Understanding of ethical AI, data privacy, and fairness in model outcomes Strong debugging, problem-solving, and communication skills Experience working in agile teams with code review and version control (Git) Nice to Have Hands-on experience with Retrieval-Augmented Generation (RAG) pipelines Familiarity with OpenAI, Anthropic, or Cohere APIs and embedding models Knowledge of LangChain, LlamaIndex, or Haystack for AI application orchestration Experience with streaming data and real-time inference systems Understanding of multi-modal models (e.g., combining text, image, audio inputs) Prior experience in a startup, product-focused, or fast-paced R&D environment What We Offer Competitive compensation (base + performance-based bonuses or token equity) Fully remote and flexible work culture A front-row seat to build next-gen AI experiences in a high-growth environment Opportunity to shape AI strategy, tools, and infrastructure from the ground up Access to high-end GPU infrastructure and compute resources How to Apply Send your resume and a short cover letter highlighting: Your experience with LLMs, GenAI, and deployed AI systems Links to AI/ML projects, GitHub repos, or research (if public) Why you're interested in this role and how you envision contributing.

Job Requirements Job Requirements Role/ Job Title: Senior Data Scientist Function/ Department: Data & Analytics Job Purpose In this specialized role, you will leverage your expertise in machine learning and statistics to derive valuable insights from data. Your role will include developing predictive models, interpreting data and working closely with out ML engineers to ensure the effective deployment and functioning of these models. Key / Primary Responsibilities Lead cross-functional teams in the design, development, and deployment of Generative AI solutions, with a strong focus on Large Language Models (LLMs). Architect, train, and fine-tune state-of-the-art LLMs (e.g., GPT, BERT, T5) for various business applications, ensuring alignment with project goals. Deploy and scale LLM-based solutions, integrating them seamlessly into production environments and optimizing for performance and efficiency. Develop and maintain machine learning workflows and pipelines for training, evaluating, and deploying Generative AI models, using Python or R, and leveraging libraries like Hugging Face Transformers, TensorFlow, and PyTorch. Collaborate with product, data, and engineering teams to define and refine use cases for LLM applications such as conversational agents, content generation, and semantic search. Design and implement fine-tuning strategies to adapt pre-trained models to domain-specific tasks, ensuring high relevance and accuracy. Evaluate and optimize LLM performance, including handling challenges such as prompt engineering, inference time, and model bias. Manage and process large, unstructured datasets using SQL and NoSQL databases, ensuring smooth integration with AI models. Build and deploy AI-driven APIs and services, providing scalable access to LLM-based solutions. Use data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to communicate AI model performance, insights, and results to non-technical stakeholders. Secondary Responsibilities Contribute to data analysis projects, with a strong emphasis on text analytics, natural language understanding, and Generative AI applications. Build, validate, and deploy predictive models specifically tailored to text data, including models for text generation, classification, and entity recognition. Handle large, unstructured text datasets, performing essential preprocessing and data cleaning steps, such as tokenization, lemmatization, and noise removal, for machine learning and NLP tasks. Work with cutting-edge text data processing techniques, ensuring high-quality input for training and fine-tuning Large Language Models (LLMs). Collaborate with cross-functional teams to develop and deploy scalable AI-powered solutions that process and analyze textual data at scale. Key Success Metrics Ensure timely deliverables. Spot Training Infrastructure fixes. Lead technical aspects of the projects. Error free deliverables. Education Qualification Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA) Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA Experience: 5-10 years of relevant experience

TCS is hiring for Real World Evidence Data Scientist Job Location – Mumbai/Pune/ Bangalore/ Delhi/ NCR Educational Qualification(s) Required – Any Life Science Graduate Interested can share their CV on dolly.suryavanshi@tcs.com Key Responsibilities: Analyze structured and unstructured healthcare data including EHRs, claims, registries, and patient-reported outcomes. Develop predictive models, causal inference frameworks, and machine learning algorithms to support RWE studies. Data Transformation OMOP, FHIR and other industry standards specific to RWE Collaborate with cross-functional teams including statisticians, epidemiologists, clinicians, and regulatory experts. Design and implement data pipelines and workflows for efficient data processing and analysis. Create dashboards and visualizations to communicate findings to stakeholders. Ensure data quality, integrity, and compliance with relevant regulations (e.g., GDPR, HIPAA). Contribute to publications, white papers, and conference presentations.

About MeltPlan Construction is the biggest industry in the world and on a declining productivity for last three decades. MeltPlan is at the forefront of revolutionizing construction industry through an innovative, construction-aware AI platform. Our mission is to eliminate the inefficiencies of manual processes and constant rework, offering a focused, AI-powered solution designed for the complexities of the built environment. We envision a "Melting Pot for the Built Environment", a singular platform that connects every stakeholder, from owners and architects to general contractors and specialty trades, fostering better plans and unlocking unparalleled value across the project lifecycle. Learn more about MeltPlan by reading our founders manifesto here. The Opportunity We are seeking a highly skilled and passionate Founding Backend Engineer to join our early team. As one of the first five engineers, you will play a pivotal role in shaping our core backend infrastructure, architecture, and engineering culture. This is a unique opportunity to contribute significantly to a product that will redefine the construction industry. You will work closely with the founders and future hires to build scalable, robust, and intelligent systems that power our AI solutions. People We take pride in the company we keep and want to maintain it that way. Our co-founder built fastest growing SaaS company from India in the past, $0 to $200 Mn ARR and $3 Bn+ valuation in 8 years, Innovaccer. Other co-founder used to manage $1 Bn construction projects ranging from most iconic office campuses in Silicon Valley to most sophisticated hospitals. Our CTO is a reputed AI research with more than 40 million downloads on his open source AI models which outcompete biggest AI labs on some benchmarks. You will join team of this caliber and we hope you raise our bar. More about our people here. What You'll Do Design, develop, and maintain highly scalable, reliable, and secure backend services for MeltPlan's AI-powered platform. Architect and implement core infrastructure, APIs, and data models to support products like Melt Code, Melt Takeoff, and Melt Coordinate. Work on cutting edge technology to do build sub-second real-time AI inference model production systems. Ensure the performance, security, and stability of our backend systems, making crucial technology stack decisions. Participate actively in technical discussions, code reviews, and architectural decisions. Help define and cultivate MeltPlan's engineering culture and best practices. Mentor and potentially lead future backend hires as the team grows. What We're Looking For Strong System Design & Scalability Expertise: Proven ability to design and build distributed, scalable, and resilient backend systems. Experience with cloud platforms (AWS, GCP, Azure) and micro-services architecture is highly valued. Exceptional Problem-Solving & Adaptability: A proactive, resourceful, and adaptable mindset, comfortable navigating ambiguity and rapidly evolving requirements in a startup environment. Ability to take ownership and drive solutions from conception to completion. Deep Technical Proficiency: Strong command of at least one modern backend programming language (e.g., Python, Go, Java, Node.js) and relevant frameworks. Extensive experience with database systems (SQL and/or NoSQL), including schema design, optimization, and data modeling. Expertise in designing, building, and maintaining robust APIs (REST, GraphQL). Solid understanding of clean code principles, testing methodologies, and version control (Git). Ownership & Communication: A high degree of ownership over your work, with excellent verbal and written communication skills. Ability to articulate complex technical concepts clearly to both technical and non-technical stakeholders, and a strong desire to collaborate effectively within a small, dynamic team. Familiarity with AI/ML integration patterns and data pipelines is a plus.

About Us: Traya is an Indian direct-to-consumer hair care brand platform provides a holistic treatment for consumers dealing with hairloss. The Company provides personalized consultations that help determine the root cause of hair fall among individuals, along with a range of hair care products that are curated from a combination of Ayurveda, Allopathy, and Nutrition. Traya's secret lies in the power of diagnosis. Our unique platform diagnoses the patient’s hair & health history, to identify the root cause behind hair fall and delivers customized hair kits to them right at their doorstep. We have a strong adherence system in place via medically-trained hair coaches and proprietary tech, where we guide the customer across their hair growth journey, and help them stay on track. Traya is founded by Saloni Anand, a techie-turned-marketeer and Altaf Saiyed, a Stanford Business School alumnus. Our Vision: Traya was created with a global vision to create awareness around hair loss, de-stigmatise it while empathizing with the customers that it has an emotional and psychological impact. Most importantly, to combine 3 different sciences (Ayurveda, Allopathy and Nutrition) to create the perfect holistic solution for hair loss patients. Responsibilities: Data Analysis and Exploration: Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies. Perform exploratory data analysis (EDA) to understand data distributions, relationships, and quality. Machine Learning and Statistical Modeling: Develop and implement machine learning models (e.g., regression, classification, clustering, time series analysis) to solve business problems. Evaluate and optimize model performance using appropriate metrics and techniques. Apply statistical methods to design and analyze experiments and A/B tests. Implement and maintain models in production environments. Data Engineering and Infrastructure: Collaborate with data engineers to ensure data quality and accessibility. Contribute to the development and maintenance of data pipelines and infrastructure. Work with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop). Communication and Collaboration: Effectively communicate technical findings and recommendations to both technical and non-technical audiences. Collaborate with product managers, engineers, and other stakeholders to define and prioritize projects. Document code, models, and processes for reproducibility and knowledge sharing. Present findings to leadership. Research and Development: Stay up-to-date with the latest advancements in data science and machine learning. Explore and evaluate new tools and techniques to improve data science capabilities. Contribute to internal research projects. Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 3-5 years of experience as a Data Scientist or in a similar role. Leverage SageMaker's features, including SageMaker Studio, Autopilot, Experiments, Pipelines, and Inference, to optimize model development and deployment workflows. Proficiency in Python and relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch). Solid understanding of statistical concepts and machine learning algorithms. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience deploying models to production. Experience with version control (Git) Preferred Qualifications: Experience with specific industry domains (e.g., e-commerce, finance, healthcare). Experience with natural language processing (NLP) or computer vision. Experience with building recommendation engines. Experience with time series forecasting.

About The Job Be the expert customers turn to when they need to build strategic, scalable systems. Red Hat Services is looking for a well-rounded Architect to join our team in Mumbai covering Asia Pacific. In this role, you will design and implement modern platforms, onboard and build cloud-native applications, and lead architecture engagements using the latest open source technologies. You’ll be part of a team of consultants who are leaders in open hybrid cloud, platform modernisation, automation, and emerging practices - including foundational AI integration. Working in agile teams alongside our customers, you’ll build, test, and iterate on innovative prototypes that drive real business outcomes. This role is ideal for architects who can work across application, infrastructure, and modern AI-enabling platforms like Red Hat OpenShift AI. If you're passionate about open source, building solutions that scale, and shaping the future of how enterprises innovate — this is your opportunity. What Will You Do Design and implement modern platform architectures with a strong understanding of Red Hat OpenShift, container orchestration, and automation at scale. Strong experience in managing “Day-2” operations of Kubernetes container platforms by collaborating with infrastructure teams in defining practices for platform deployment, platform hardening, platform observability, monitoring and alerting, capacity management, scalability, resiliency, security operations. Lead the discovery, architecture, and delivery of modern platforms and cloud-native applications, using technologies such as containers, APIs, microservices, and DevSecOps patterns. Collaborate with customer teams to co-create AI-ready platforms, enabling future use cases with foundational knowledge of AI/ML workloads. Remain hands-on with development and implementation — especially in prototyping, MVP creation, and agile iterative delivery. Present strategic roadmaps and architectural visions to customer stakeholders, from engineers to executives. Support technical presales efforts, workshops, and proofs of concept, bringing in business context and value-first thinking. Create reusable reference architectures, best practices, and delivery models, and mentor others in applying them. Contribute to the development of standard consulting offerings, frameworks, and capability playbooks. What Will You Bring Strong experience with Kubernetes, Docker, and Red Hat OpenShift or equivalent platforms In-depth expertise in managing multiple Kubernetes clusters across multi-cloud environments. Proven expertise in operationalisation of Kubernetes container platform through the adoption of Service Mesh, GitOps principles, and Serverless frameworks Migrating from XKS to OpenShift Proven leadership of modern software and platform transformation projects Hands-on coding experience in multiple languages (e.g., Java, Python, Go) Experience with infrastructure as code, automation tools, and CI/CD pipelines Practical understanding of microservices, API design, and DevOps practices Applied experience with agile, scrum, and cross-functional team collaboration Ability to advise customers on platform and application modernisation, with awareness of how platforms support emerging AI use cases. Excellent communication and facilitation skills with both technical and business audiences Willingness to travel up to 40% of the time Nice To Have Experience with Red Hat OpenShift AI, Open Data Hub, or similar MLOps platforms Foundational understanding of AI/ML, including containerized AI workloads, model deployment, open source AI frameworks Familiarity with AI architectures (e.g., RAG, model inference, GPU-aware scheduling) Engagement in open source communities or contributor background About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

SUMMARY Under limited supervision designs, develops and maintains test procedures, tester hardware and software for electronic circuit board production. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. LEADERSHIP AND MANAGEMENT RESPONSIBILITIES Recruitment and Retention: · Recruit and interview Process Technicians. · Communicate criteria to recruiters for Process Technician position candidates. · Coach technicians in the interviewing/hiring process. · Monitor team member turnover; identify key factors that can be improved; make improvements. Employee and Team Development: · Identify individual and team strengths and development needs on an ongoing basis. · Create and/or validate training curriculum in area of responsibility. · Coach and mentor Process Technicians to deliver excellence to every internal and external customer. Performance Management: · Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines, training documentation, attendance records, knowledge of operational roles and responsibilities, personal development goals). · Solicit ongoing feedback from Assistant Test Engineering Manager, Workcell Manager (WCM), Business Unit Manager (BUM), peers and team member on team member’s contribution to the Workcell team. Provide ongoing coaching and counseling to team member based on feedback. · Express pride in staff and encourage them to feel good about their accomplishments. · Perform team member evaluations professionally and on time. · Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. · Coordinate activities of large teams and keep them focused in times of crises. · Ensure recognition and rewards are managed fairly and consistently in area of responsibility. Communication: · Provide communication forum for the exchange of ideas and information with the department. · Organize verbal and written ideas clearly and use an appropriate business style. · Ask questions; encourage input from team members. · Assess communication style of individual team members and adapt own communication style accordingly. TECHNICAL MANAGEMENT RESPONSIBILITIES · Review circuit board designs for testability requirements. · Support manufacturing with failure analysis, tester debugging, reduction of intermittent failures and downtime of test equipment. · Prepare recommendations for testing and documentation of procedures to be used from the product design phase through to initial production. · Generate reports and analysis of test data, prepares documentation and recommendations. · Review test equipment designs, data and RMA issues with customers regularly. · Design, and direct engineering and technical personnel in fabrication of testing and test control apparatus and equipment. · Direct and coordinate engineering activities concerned with development, procurement, installation, and calibration of instruments, equipment, and control devices required to test, record, and reduce test data. · Determine conditions under which tests are to be conducted and sequences and phases of test operations. · Direct and exercise control over operational, functional, and performance phases of tests. · Perform moderately complex assignments of the engineering test function for standard and/or custom devices. · Analyze and interpret test data and prepares technical reports for use by test engineering and management personnel. · Develop or use computer software and hardware to conduct tests on machinery and equipment. · Perform semi-routine technique development and maintenance, subject to established Jabil standards, including ISO and QS development standards. · Provide training in new procedures to production testing staff. · Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor. · Comply and follow all procedures within the company security policy. MINIMUM REQUIREMENTS Bachelors of Science in Electronics or Electrical Engineering from four-year college or university; and three to five years experience LANGUAGE SKILLS Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. MATHEMATICAL SKILLS Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is frequently required to walk, and to lift and carry PC’s and test equipment weighing up to 50 lbs. Specific vision abilities required by this job include close vision and use of computer monitor screens a great deal of time. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Individual’s primary workstation is located in the office area, with some time spent each day on the manufacturing floor. The noise level in this environment ranges from low to moderate.

SUMMARY Under limited supervision designs, develops and maintains test procedures, tester hardware and software for electronic circuit board production. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. · Review circuit board designs for testability requirements. · Support manufacturing with failure analysis, tester debugging, reduction of intermittent failures and downtime of test equipment. · Prepare recommendations for testing and documentation of procedures to be used from the product design phase through to initial production. · Generate reports and analysis of test data, prepares documentation and recommendations. · Review test equipment designs, data and RMA issues with customers regularly. · Design, and direct engineering and technical personnel in fabrication of testing and test control apparatus and equipment. · Direct and coordinate engineering activities concerned with development, procurement, installation, and calibration of instruments, equipment, and control devices required to test, record, and reduce test data. · Determine conditions under which tests are to be conducted and sequences and phases of test operations. · Direct and exercise control over operational, functional, and performance phases of tests. · Perform moderately complex assignments of the engineering test function for standard and/or custom devices. · Analyze and interpret test data and prepares technical reports for use by test engineering and management personnel. · Develop or use computer software and hardware to conduct tests on machinery and equipment. · Perform semi-routine technique development and maintenance, subject to established Jabil standards, including ISO and QS development standards. · May provide training in new procedures to production testing staff. · Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor. · Comply and follow all procedures within the company security policy. MINIMUM REQUIREMENTS Bachelors of Science in Electronics or Electrical Engineering from four-year college or university preferred; or related experience and/or training; or equivalent combination of education and experience. LANGUAGE SKILLS Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. MATHEMATICAL SKILLS Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is frequently required to walk, and to lift and carry PC’s and test equipment weighing up to 50 lbs. Specific vision abilities required by this job include close vision and use of computer monitor screens a great deal of time. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Individual’s primary workstation is located in the office area, with some time spent each day on the manufacturing floor. The noise level in this environment ranges from low to moderate.

Job Title: AI/ML Engineer Experience: 4+ Years Location: Remote Employment Type: Full-time Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with 4+ years of experience to design, develop, and deploy scalable AI and Machine Learning solutions. The ideal candidate will have strong expertise in Python , traditional ML algorithms , deep learning , and Generative AI frameworks like LLMs, diffusion models, or transformers . Key Responsibilities: Design, implement, and optimize machine learning models for classification, regression, clustering, and recommendation systems. Work with Generative AI models such as GPT, BERT, Stable Diffusion, or custom transformers for text/image/audio applications. Build and deploy end-to-end ML pipelines from data ingestion to model deployment and monitoring. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Conduct research and experimentation with new ML algorithms and GenAI architectures. Optimize models for performance, scalability, and inference efficiency. Ensure data integrity, privacy, and compliance in AI workflows. Document models, experiments, and ML infrastructure. Required Skills: 4+ years of experience in AI/ML Engineering or similar roles. Strong programming experience in Python and libraries like scikit-learn, Pandas, NumPy . Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX . Experience building or fine-tuning LLMs (GPT, T5, Llama, etc.) or image generation models like Stable Diffusion . Familiarity with prompt engineering and retrieval-augmented generation (RAG). Experience with ML lifecycle tools like MLflow, Weights & Biases , or SageMaker . Exposure to APIs, containerization (Docker), and cloud platforms (AWS/GCP/Azure) for ML deployment. Strong understanding of statistics, optimization, and data preprocessing techniques. Nice to Have: Knowledge of LangChain, LlamaIndex, Haystack for GenAI workflows. Experience in Vector databases like Pinecone, FAISS, or Weaviate. Contributions to open-source AI/ML projects or research publications. Experience with MLOps practices and CI/CD for ML models.

🌐 We're Hiring: Advanced AI Researchers & Engineers | Join JTW's Innovation Team At JohnTuringWatson Software Solutions Pvt Ltd (JTW) , we're building the future of AI—and we're looking for exceptional talent to help lead it. Our AI Research Lab is actively working on cutting-edge solutions in Agentic AI , Edge Intelligence , and Quantum Computing , and we’re expanding our team. If you're passionate about solving real-world problems using AI, Machine Learning , and next-gen computation models , we’d love to connect with you. Experience Level: 2-5 years of experience. 🔍 We’re Looking for Talent With Expertise in One or More of the Following Areas: Agentic AI – Designing autonomous, reasoning-driven systems Edge AI – Building low-latency, on-device inference models Quantum Computing – Practical experience with IBM Quantum or Azure Quantum Quantum Development Frameworks – Proficiency in Qiskit , Q# , or Cirq Python (required) for ML/AI pipelines and quantum programming Deep Learning – Using TensorFlow, PyTorch, or Hugging Face frameworks NLP and LLMs – Experience with transformer architectures , prompt engineering, or fine-tuning models ML Ops – Knowledge in model deployment, performance tuning , and monitoring Strong foundations in Mathematics, Probability, Linear Algebra , and Statistics 🧠 Ideal Candidate Profile: Solid understanding of AI/ML concepts , including supervised, unsupervised, and reinforcement learning Ability to research, prototype, and scale AI models into production Comfortable working in a cross-functional R&D environment Prior experience in contributing to AI publications, open-source projects, or patents (a plus) 🚀 Why Join JTW? Work on industry-defining projects with an elite research team Exposure to emerging domains like Agentic AI , Edge-native models , and Quantum-AI fusion A collaborative, innovation-first culture with global delivery reach Access to dedicated infrastructure, including AI model labs and quantum simulators 📩 Ready to make an impact? Send your resume to jobs@johnturingwatson.ai Explore more at www.johnturingwatson.ai

We are seeking an exceptionally skilled Technical Lead who possess deep expertise in modern front-end technologies, and a passion for exploring and implementing AI-driven features that elevate our products and user experiences. Key Responsibilities: Technical Leadership & Architecture Define and drive the technical vision, strategy, and roadmap for our front-end architecture, ensuring scalability, performance, maintainability, and security. Lead the design and implementation of complex, highly interactive, and responsive user interfaces using cutting-edge front-end frameworks (e.g., React, Angular, Vue.js) and associated technologies. Establish and enforce best practices for front-end development, including code quality, testing, accessibility, and performance optimization. Conduct in-depth code reviews, provide constructive feedback, and mentor team members to foster technical excellence and growth. Collaborate closely with product managers, UX/UI designers, back-end engineers, and AI/ML engineers to translate product requirements into robust technical solutions. Evaluate and recommend new front-end technologies, tools, and libraries to continuously improve our development stack. AI Integration & Innovation Pioneer AI-driven Front-End Experiences: Proactively identify and explore opportunities to embed AI/ML capabilities directly into the front-end to enhance user engagement, personalization, predictive interactions, intelligent search, content recommendation, and dynamic UI generation. Orchestrate AI Model Consumption: Design and implement efficient and performant ways for front-end applications to consume and interact with AI/ML models (e.g., via APIs, WebSockets, client-side inference where applicable). Data-Driven UI/UX: Leverage AI for A/B testing, user behavior analysis, and predictive analytics to inform UI/UX design decisions and drive continuous improvement. Ethical AI Implementation: Ensure responsible and ethical implementation of AI features, considering data privacy, fairness, and transparency in user-facing applications. Stay abreast of the latest advancements in AI, particularly as they apply to front-end development (e.g., Generative AI for UI, AI-powered design tools, client-side ML frameworks). Team Leadership & Mentorship Lead, inspire, and empower a team of front-end engineers, fostering a culture of collaboration, innovation, and continuous learning. Provide technical guidance, coaching, and mentorship to team members, helping them develop their skills and careers.

Role Overview As a Test Automation Lead at Dailoqa, you’ll architect and implement robust testing frameworks for both software and AI/ML systems. You’ll bridge the gap between traditional QA and AI-specific validation, ensuring seamless integration of automated testing into CI/CD pipelines while addressing unique challenges like model accuracy, GenAI output validation, and ethical AI compliance. Key Responsibilities Test Automation Strategy & Framework Design Design and implement scalable test automation frameworks for frontend (UI/UX) , backend APIs , and AI/ML model-serving endpoints using tools like Selenium, Playwright, Postman, or custom Python/Java solutions. Build GenAI-specific test suites for validating prompt outputs, LLM-based chat interfaces, RAG systems, and vector search accuracy. Develop performance testing strategies for AI pipelines (e.g., model inference latency, resource utilization). Continuous Testing & CI/CD Integration Establish and maintain continuous testing pipelines integrated with GitHub Actions, Jenkins, or GitLab CI/CD. Implement shift-left testing by embedding automated checks into development workflows (e.g., unit tests, contract testing). AI/ML Model Validation Collaborate with data scientists to test AI/ML models for accuracy , fairness , stability , and bias mitigation using tools like TensorFlow Model Analysis or MLflow. Validate model drift and retraining pipelines to ensure consistent performance in production. Quality Metrics & Reporting Define and track KPIs: Test coverage (code, data, scenarios) Defect leakage rate Automation ROI (time saved vs. maintenance effort) Model accuracy thresholds Report risks and quality trends to stakeholders in sprint reviews. Drive adoption of AI-specific testing tools (e.g., LangChain for LLM testing, Great Expectations for data validation). Technical Requirements Must-Have 7–10 years in test automation, with 2+ years validating AI/ML systems . Expertise in: Automation tools : Selenium, Playwright, Cypress, REST Assured, Locust/JMeter CI/CD : Jenkins, GitHub Actions, GitLab AI/ML testing : Model validation, drift detection, GenAI output evaluation Languages : Python, Java, or JavaScript Certifications: ISTQB Advanced, CAST, or equivalent. Experience with MLOps tools : MLflow, Kubeflow, TFX Familiarity with vector databases (Pinecone, Milvus) and RAG workflows . Strong programming/scripting experience in JavaScript, Python, Java, or similar Experience with API testing, UI testing, and automated pipelines • Understanding of AI/ML model testing, output evaluation, and non-deterministic behavior validation • Experience with testing AI chatbots, LLM responses, prompt engineering outcomes, or AI fairness/bias • Familiarity with MLOps pipelines and automated validation of model performance in production • Exposure to Agile/Scrum methodology and tools like Azure Boards Soft Skills Strong problem-solving skills for balancing speed and quality in fast-paced AI development. Ability to communicate technical risks to non-technical stakeholders. Collaborative mindset to work with cross-functional teams (data scientists, ML engineers, DevOps).

CTO&/CTO&/2025/2685598 Job Title: Vision X Principal with Gen / AI architect. Location: Chennai and Noida Exp :- 15 to 20+ Primary skills :- Vision AI Solution, Nvidia, Computer Vision, Media, Open Stack. Job Type: Full-time Band : E5 Key Responsibilities Define and lead the end-to-end technical architecture for vision-based AI systems across edge and cloud. Design and optimize large-scale video analytics pipelines using NVIDIA DeepStream, TensorRT, and Triton Inference Server. Architect distributed AI systems, including model training, deployment, inferencing, monitoring, and continuous learning. Collaborate with product, research, and engineering teams to translate business requirements into scalable AI solutions. Lead efforts in model optimization (quantization, pruning, distillation) for real-time performance on devices like Jetson Orin/Xavier. Drive the integration of multi-modal AI (vision + language, 3D, audio) where applicable. Guide platform choices (e.g., edge AI vs cloud AI trade-offs), ensuring cost-performance balance. Mentor senior engineers and promote best practices in MLOps, system reliability, and AI observability. Stay current with emerging technologies (e.g., NeRF, Diffusion Models, Vision Transformers, synthetic data). Contribute to internal innovation strategy, including IP generation, publications, and external presentations. ________________________________________ 🛠️ Required Technical Skills Deep expertise in computer vision, deep learning, and multi-modal AI. Proven hands-on experience with: NVIDIA Jetson, DeepStream SDK, TensorRT, Triton Inference Server TAO Toolkit, Isaac SDK, CUDA, cuDNN Strong in PyTorch, TensorFlow, OpenCV, GStreamer, and GPU-accelerated pipelines. Experience deploying vision AI models at large scale (e.g., 1000+ cameras/devices or multi-GPU clusters). Skilled in cloud-native ML infrastructure: Docker, Kubernetes, CI/CD, MLflow, Seldon, Airflow Proficiency in Python, C++, CUDA (or PyCUDA), and scripting. Familiar with 3D vision, synthetic data pipelines, and generative models (e.g., SAM, NeRF, Diffusion). Experience in multi modal (LVM/VLM), SLMs, small LVM/ VLM, Time series Gen AI models, Agentic AI, LLMOps/Edge LLMOps, Guardrails, Security in Gen AI, YOLO/Vision Transformers ________________________________________ 🤝 Soft Skills & Leadership 10+ years in AI/ML/Computer Vision, with 8+ years in technical leadership or architect roles Strong leadership skills with experience mentoring technical teams and driving innovation. Excellent communicator with the ability to engage stakeholders across engineering, product, and business. Strategic thinker with a practical mindset—able to balance innovation with production-readiness. Experience interfacing with enterprise customers, researchers, and hardware partners. ________________________________________ 🧩 Preferred Qualifications MS or PhD in Computer Vision, Machine Learning, Robotics, or a related technical field ( Added Advantage ) Experience with NVIDIA Omniverse, Clara, or MONAI for healthcare or simulation environments. Experience in domains like smart cities, robotics, retail analytics, or medical imaging. Contributions to open-source projects or technical publications. Certifications: NVIDIA Jetson Developer, AWS/GCP AI/ML Certifications. ________________________________________

We are looking for a Full-Stack AI Developer with expertise in Generative AI and Large Language Models (LLMs) to lead the design and development of AI-driven applications. This role demands strong full-stack capabilities-ranging from intuitive front-end design to training and deploying backend AI models and managing scalable infrastructure. Key Responsibilities Front-End Development : Design and build intuitive, user-friendly interfaces for AI-powered applications. Utilize modern web frameworks (e.g., React, Vue.js) to develop responsive UI/UX. Optimize front-end performance and ensure cross-browser compatibility. Back-End Development Develop robust, scalable backend systems for AI model deployment. Design and maintain RESTful APIs for seamless front-end and back-end integration. Manage cloud-based infrastructure using platforms like AWS or Azure. AI Model Development Train, fine-tune, and deploy cutting-edge generative AI and LLM models. Use frameworks such as TensorFlow and PyTorch for deep learning model development. Build efficient inference pipelines for low-latency predictions. Data Engineering Design and maintain data pipelines for model training and evaluation. Perform preprocessing and cleaning of large datasets to enhance model performance. Implement data versioning, monitoring, and reproducibility strategies. Preferred Qualifications Graduate degree in Computer Science, AI, Machine Learning, or a related field. 5+ years of full-stack development experience. 2+ years of hands-on experience in AI/ML, especially with generative AI and LLMs. Strong grasp of machine learning algorithms and NLP techniques. Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Skills & Competencies Strong problem-solving and architectural design abilities. Excellent communication and cross-functional collaboration skills. Self-motivated with the ability to manage multiple projects simultaneously. Passion for learning and keeping up with the latest trends in AI/ML and LLMs. (ref:hirist.tech)

Company Description TrueFan uses proprietary AI technology to connect fans and celebrities and is now focused on revolutionizing customer-business interactions with AI-powered personalized video solutions. Our platform enables brands to create unique, engaging video experiences that drive customer loyalty and deeper connections. Company Overview We are a cutting-edge AI company focused on developing advanced lip-syncing technology using deep neural networks. Our solutions enable seamless synchronisation of speech with facial movements in videos, creating hyper-realistic content for various industries such as entertainment, marketing, and more. Position : MLOps Engineer We are looking for a talented and motivated MLOps Engineer to join our team. The ideal candidate will play a crucial role in managing and scaling our machine learning models and infrastructure, enabling seamless deployment and automation of our lip-sync video generation systems. Key Responsibilities Model Training/Deployment Pipelines and Monitoring : Design, implement, and maintain scalable and automated pipelines for deploying deep neural network models. Monitor and manage Production models, ensuring high availability, low latency, and smooth performance. Automate workflows for data preprocessing (face alignment, feature extraction, audio analysis), model retraining, and video generation. Implement Logging, Tracking, and Monitoring Systems to ensure data integrity and visibility into the model lifecycle. Infrastructure Management Build and manage cloud-based infrastructure (AWS, GCP, or Azure) for efficient model training, deployment, and data storage. Collaborate with DevOps to manage containerization (Docker, Kubernetes) and ensure robust CI/CD pipelines using github and jenkins for model delivery. Monitor resource for GPU/ CPU-intensive tasks like video processing, model inference, and training using Prometheus , Grafana, alert manager, ELK stack. Collaboration Work closely with ML engineers to integrate models into production pipelines. Provide tools and frameworks for rapid experimentation and model versioning. Required Skills Basic Python Strong experience with cloud platforms (AWS, GCP, Azure) and cloud-based machine learning services. Expert knowledge of containerization technologies (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation) Have understanding of Deployment of both synchronous and asynchronous API using Flask, Django, Celery, Redis, RabbitMQ , Kafka Deployed and Scaled AI/ML in Production. Familiarity with deep learning frameworks (TensorFlow, PyTorch). Familiarity with video processing tools like FFMPEG and Dlib for handling dynamic frame data. Basic understanding of ML models Preferred Qualifications Experience in image and video-based deep learning tasks. Familiarity with media streaming and video processing pipelines for real-time generation. Experience with real-time inference and deploying models in latency-sensitive environments. Strong problem-solving skills with a focus on optimising machine learning model infrastructure for scalability and performance (ref:hirist.tech)

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience: 10+ years. Strong experience with LLMs (LLaMA, DeepSeek, etc.) and understanding of RAG pipelines. Hands on experience in Python, Linux, and Shell scripting Experience with OpenCV, PyTorch, YOLO, or TensorFlow frameworks Familiarity with LLM inference engines like Ollama, vLLM, llama.cpp Solid knowledge of model conversion and deployment. Experience working on AI Agents, LangChain, and retrieval-augmented generation (RAG) Hands-on experience with Docker, Docker Compose, and integration into DevOps pipelines Understanding of embedded platforms (Jetson, NXP, Qualcomm) and Yocto builds. Experience in model optimization techniques (quantization, pruning, etc.) Good grasp of CUDA kernels and GPU computing for acceleration Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Understanding functional requirements thoroughly and analyzing the client’s needs in the context of the project Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it Determining and implementing design methodologies and tool sets Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement Giving constructive feedback to the team members and setting clear expectations. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Build platform features to for AI/ML lifecycle include data processing, AI inference (batch, real-time, hybrid) and end-to-end MLOps for non-generative and generative use-cases Utilize deep knowledge of AI/ML systems engineering to define future architecture patterns for a multi-cloud platform Develop robust, scalable, and maintainable code that meets high standards of quality and performance Utilize engineering expertise to coach and influence enterprise data scientists and ML engineers to adopt scaleable, robust process architecture for AI/ML use-cases Stay up-to-date with the latest advancements in AI/ML technology and introduce innovative techniques and tools to the team. Mentor and develop junior engineers on the team. Participate in the entire software development lifecycle - design, implementation, testing, CI/CD and production operations Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Master’s degree or Ph.D. with 3+ years of relevant experience or a bachelor's degree and at least 4+ years of relevant experience 4+ years industry experience as a Software Engineer, Software Developer, or AI/ML Engineer, with at least 3+ years in senior engineering roles with increasing scope 3+ years of demonstrable experience with AI/ML Engineering including data pipelines, model inference and MLOps for batch and real-time endpoints on cloud platforms (e.g. Databricks, Azure, AWS, GCP, Snowflake) 3+ years of experience with demonstrable proficiency in programming languages such as Python or Java 3+ years of demonstrable proficiency with querying and data processing tools (e.g. PySpark, SQL) as well as command-line tools (shell, regex, cloud CLI) Preferred Qualifications Experience with DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure as code\ Experience with AI/ML development in industries such as healthcare, aerospace, insurance Deep understanding of AI/ML lifecycle and variations for different use-cases (non-generative, generative) Proven success in collaborating with geographically distributed team At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Job Description F-Secure makes every digital moment more secure, for everyone. For over 35 years, we’ve led the cyber security industry, protecting tens of millions of people online together with our 200+ service provider partners. We value our Fellows' individuality, with an inclusive environment where diversity drives innovation and growth. What makes you unique is what we value – be yourself, that is (y)our greatest asset. Founded in Finland, F‑Secure has offices in Europe, North America and Asia Pacific. About The Role We are looking for skilled Machine Learning Engineers to join our Technology team in Bengaluru! At F-Secure, we're developing cutting-edge AI-powered cybersecurity defenses that protect millions of users globally. Our ML models operate in dynamic environments where threat actors continuously evolve their techniques. We're seeking a motivated individual to perform in-depth analysis of data and machine learning models, develop and implement models using both classical and modern approaches, and optimize models for performance and latency. This is a fantastic opportunity to enhance your skills in a real-world cybersecurity context with significant impact. This role will be located in Bengaluru, India. You can choose whether you work at our Bengaluru office, or in a hybrid mode from your home office. We hope you are able to join us for common gatherings at the Bengaluru office when needed. Key Responsibilities To perform in-depth analysis of data and machine learning models to identify insights and areas of improvement. Develop and implement models using both classical machine learning techniques and modern deep learning approaches. Deploy machine learning models into production, ensuring robust MLOps practices including CI/CD pipelines, model monitoring, and drift detection. Conduct fine-tuning and integrate Large Language Models (LLMs) to meet specific business or product requirements. Optimize models for performance and latency, including the implementation of caching strategies where appropriate. Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end ML solutions. What are we looking for? Prior experience from utilizing various statistical techniques to derive important insights and trends. Proven experience in machine learning model development and analysis using classical and neural networks based approaches. Strong understanding of LLM architecture, usage, and fine-tuning techniques. Solid understanding of statistics, data preprocessing, and feature engineering. Proficient in Python and popular ML libraries (scikit-learn, PyTorch, TensorFlow, etc.). Strong debugging and optimization skills for both training and inference pipelines. Familiarity with data formats and processing tools (Pandas, Spark, Dask). Experience working with transformer-based models (e.g., BERT, GPT) and Hugging Face ecosystem. Additional Nice-to-have's Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, or similar). Experience with monitoring tools (Prometheus, Grafana, or custom solutions for ML metrics). Familiarity with cloud platforms (Sagemaker, AWS, GCP, Azure) and containerization (Docker, Kubernetes). Hands-on experience with MLOps practices and tools for deployment, monitoring, and drift detection. Exposure to distributed training and model parallelism techniques. Prior experience in AB testing ML models in production. What will you get from us? You will work together with experienced and enthusiastic colleagues, and within F-Secure you will find some of the best minds in the cyber security industry. We actively encourage our Fellows to grow and develop within F-Secure, and in your career here you can find yourself contributing to any number of our other products and teams. You decide what to make of this role, what your priorities are, and how you organize your work for the best benefit to us all. We offer interesting challenges and a competitive compensation model with wide range of benefits. You get a chance to develop yourself professionally in an international and highly motivated team serving our customers in providing world class security, privacy and uncensored access to information online. You get to work in a flexible, agile, and dynamic working environment that supports individual needs. Giving our people both support and the opportunity to be in charge of their own work is something that is in our DNA. We are in a unique phase in our 30-year history and with curiosity and excitement in the air we see no limits for building a strong and fruitful career with us! A security vetting will possibly be conducted for the selected candidate in accordance to our employment process.

Description We are part of the India & Emerging Stores Customer Fulfilment Experience Org. Team's mission is to address unique customer requirements and the increasing associated costs/abuse of returns and rejects for Emerging Stores. Our team implements tech solves that reduce the net cost of concessions/refunds - this includes buyer and seller abuse, costs associated with return/reject transportation, cost of contacts and operations cost at return centers. We have a huge opportunity to create a legacy and our Legacy Statement is to “transform ease and quality of living in India, thereby enabling its potential in the 21st century”. We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. This is an opportunity to join our mission to build tech solutions that empower sellers to delight the next billion customers. You will be responsible for building new system capabilities grounds up for strategic business initiatives. If you feel excited by the challenge of setting the course for large company wide initiatives, building and launching customer facing products in IN and other emerging markets, this may be the next big career move for you. We are building systems which can scale across multiple marketplaces and are on the state-of-the-art in automated large scale e-commerce business. We are looking for a SDE to deliver capabilities across marketplaces. We operate in a high performance agile ecosystem where SDEs, Product Managers and Principals frequently connect with end customers of our products. Our SDEs stay connected with customers through seller/FC/Deliver Station visits and customer anecdotes. This allows our engineers to significantly influence product roadmap, contribute to PRFAQs and create disproportionate impact through the tech they deliver. We offer Technology leaders a once in a lifetime opportunity to transform billions of lives across the planet through their tech innovation. As an engineer, you will help with the design, implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Open Search, Lambda, ECS, SQS, Dynamo DB, Neptune etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems. If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today! As An Engineer You Will Be Responsible For Ownership of product/feature end-to-end for all phases from the development to the production. Ensuring the developed features are scalable and highly available with no quality concerns. Work closely with senior engineers for refining the design and implementation. Management and execution against project plans and delivery commitments. Assist directly and indirectly in the continual hiring and development of technical talent. Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts. Contribute intellectual property through patents. The candidate should be passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end. About The Team Team: IES NCRC Tech Mission: We own programs to prevent customer abuse for IN & emerging marketplaces. We detect abusive customers for known abuse patterns and apply interventions at different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions. Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. Technologies: The ML models leveraged by the team include a vast variety ranging from regression-based (XgBoost), to deep-learning models (RNN, CNN) and use frameworks like PyTorch, TensorFlow, Keras for training & inference. Productionization of ML models for real-time low-latency high traffic use-cases poses unique challenges, which in turn makes the work exciting. In terms of tech stack, multiple AWS technologies are used, e.g. Sagemaker, ECS, Lambda, ElasticSearch, StepFunctions, AWS Batch, DynamoDB, S3, CDK (for infra), GraphDBs and are open to adopt new technologies as per use-case. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3024781

Description We are part of the India & Emerging Stores Customer Fulfilment Experience Org. Team's mission is to address unique customer requirements and the increasing associated costs/abuse of returns and rejects for Emerging Stores. Our team implements tech solves that reduce the net cost of concessions/refunds - this includes buyer and seller abuse, costs associated with return/reject transportation, cost of contacts and operations cost at return centers. We have a huge opportunity to create a legacy and our Legacy Statement is to “transform ease and quality of living in India, thereby enabling its potential in the 21st century”. We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. This is an opportunity to join our mission to build tech solutions that empower sellers to delight the next billion customers. You will be responsible for building new system capabilities grounds up for strategic business initiatives. If you feel excited by the challenge of setting the course for large company wide initiatives, building and launching customer facing products in IN and other emerging markets, this may be the next big career move for you. We are building systems which can scale across multiple marketplaces and are on the state-of-the-art in automated large scale e-commerce business. We are looking for a SDE to deliver capabilities across marketplaces. We operate in a high performance agile ecosystem where SDEs, Product Managers and Principals frequently connect with end customers of our products. Our SDEs stay connected with customers through seller/FC/Deliver Station visits and customer anecdotes. This allows our engineers to significantly influence product roadmap, contribute to PRFAQs and create disproportionate impact through the tech they deliver. We offer Technology leaders a once in a lifetime opportunity to transform billions of lives across the planet through their tech innovation. As an engineer, you will help with the design, implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Open Search, Lambda, ECS, SQS, Dynamo DB, Neptune etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems. If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today! As An Engineer You Will Be Responsible For Ownership of product/feature end-to-end for all phases from the development to the production. Ensuring the developed features are scalable and highly available with no quality concerns. Work closely with senior engineers for refining the design and implementation. Management and execution against project plans and delivery commitments. Assist directly and indirectly in the continual hiring and development of technical talent. Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts. Contribute intellectual property through patents. The candidate should be passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end. About The Team Team: IES NCRC Tech Mission: We own programs to prevent customer abuse for IN & emerging marketplaces. We detect abusive customers for known abuse patterns and apply interventions at different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions. Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. Technologies: The ML models leveraged by the team include a vast variety ranging from regression-based (XgBoost), to deep-learning models (RNN, CNN) and use frameworks like PyTorch, TensorFlow, Keras for training & inference. Productionization of ML models for real-time low-latency high traffic use-cases poses unique challenges, which in turn makes the work exciting. In terms of tech stack, multiple AWS technologies are used, e.g. Sagemaker, ECS, Lambda, ElasticSearch, StepFunctions, AWS Batch, DynamoDB, S3, CDK (for infra), GraphDBs and are open to adopt new technologies as per use-case. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3024851

About Us As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win Behind one of the world’s best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We’re also the source of the data and analytics behind Target’s Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com. About This Career Role is about being passionate about data, analysis, metrics development, feature experimentation and its application to improve both business strategies, as well as support to GSCL operations team Develop, model and apply analytical best practices while upskilling and coaching others on new and emerging technologies to raise the bar for performance in analysis by sharing with others (clients, peers, etc.) well documented analytical solutions . Drive a continuous improvement mindset by seeking out new ways to solve problems through formal trainings, peer interactions and industry publications to continually improve technically, implement best practices and analytical acumen Be expert in specific business domain, self-directed and drive execution towards outcomes, understand business inter-dependencies, conduct detailed problem solving, remediate obstacles, use independent judgement and decision making to deliver as per product scope, provide inputs to establish product/ project timelines Participate in learning forums, or be a buddy to help increase awareness and adoption of current technical topics relevant for analytics competency e.g. Tools (R, Python); exploratory & descriptive techniques ( basic statistics and modelling) Champion participation in internal meetups, hackathons; presents in internal conferences, relevant to analytics competency Contribute the evaluation and design of relevant technical guides and tools to hire great talent by partnering with talent acquisition Participate in Agile ceremonies to keep the team up-to-date on task progress, as needed Develop and analyse data reports/Dashboards/pipelines, do RCA and troubleshooting of issues that arise using exploratory and systemic techniques About You B.E/B.Tech (2-3 years of relevant exp), M.Tech, M.Sc. , MCA (+2 years of relevant exp) Candidates with strong domain knowledge and relevant experience in Supply Chain / Retails analytics would be highly preferred Strong data understanding inference of patterns, root cause, statistical analysis, understanding forecasting/predictive modelling, , etc. Advanced SQL experience writing complex queries Hands on experience with analytics tools: Hadoop, Hive, Spark, Python, R, Domo and/or equivalent technologies Experience working with Product teams and business leaders to develop product roadmaps and feature development Able to support conclusions with analytical evidence using descriptive stats, inferential stats and data visualizations Strong analytical, problem solving, and conceptual skills. Demonstrated ability to work with ambiguous problem definitions, recognize dependencies and deliver impact solutions through logical problem solving and technical ideations Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Intellectually curious, high energy and a strong work ethic Comfort with ambiguity and open-ended problems in support of supply chain operations Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture - https://india.target.com/life-at-target/belonging

Description and Requirements "At BMC trust is not just a word - it's a way of life!" Hybrid Description and Requirements "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC AMI Cost and Capacity Management - As digitization increases, so does the complexity of managing mainframe capacity and costs. BMC AMI Cost and Capacity portfolio increases availability, predicts capacity bottlenecks before they occur, and optimizes mainframe software costs. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. Developing APIs and microservices to expose AI/ML models for enterprise applications. Processing and analyzing structured & unstructured data, including text, images, and time-series data for AI/ML applications. Optimizing ML models for performance and scalability, ensuring low latency and high availability in production. Staying updated with advancements in GenAI, NLP, transformers, and deep learning architectures to drive innovation. Collaborating with cross-functional teams to integrate AI capabilities into existing applications and workflows. To ensure you’re set up for success, you will bring the following skillset & experience: Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment. Whilst these are nice to have, our team can help you develop in the following skills: Experience with knowledge graphs, semantic search, and enterprise AI applications. Additional experience with .NET v7+ and cross-platform .NET development would be helpful. Exposure to IBM z/OS mainframe environments and AI-driven optimization for legacy systems. Background in statistical data analysis, reinforcement learning, or advanced ML techniques. Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,166,900 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply.

AI Engineer Intern (Remote) — Optivus Technologies Location: Remote Type: Internship (Full-Time Preferred) Duration: 3–6 months Stipend: Competitive Start Date: Immediate or August 2025 About Optivus Technologies Optivus Technologies is a next-generation AI consulting and product firm dedicated to empowering businesses through intelligent, scalable, and practical AI solutions. Our mission is clear: to help organizations of all sizes — especially small and mid-sized enterprises — harness the full transformative power of artificial intelligence without complexity or prohibitive costs. We build plug-and-play GenAI products and automation tools that integrate seamlessly into existing business environments, driving real-world outcomes through cutting-edge technologies such as large language models, intelligent process automation, and advanced analytics. We believe innovation isn’t just for large enterprises — every business deserves access to technology that fuels smarter decisions and faster growth. Learn more: www.optivustechnologies.com About the Role We're looking for a highly driven AI Engineer Intern who thrives in startup environments and wants to build impactful, real-world AI applications. As an intern at Optivus, you’ll be an integral part of our engineering team — working hands-on with large language models (LLMs), machine learning pipelines, and scalable web technologies. You won’t just be building prototypes; you’ll help ship production-ready features for real clients and get deep exposure to the full AI product lifecycle. What You’ll Do Build and test ML/LLM pipelines for various business use cases Integrate AI models and APIs into functional web applications Develop and optimize backend services using Python, FastAPI, or Node.js Work with vector databases, embedding models, and prompt orchestration tools Contribute to end-to-end system architecture — from data handling to inference and UI integration Write clean, modular, and well-documented code using Git workflows Stay on top of new advancements in generative AI, LLMs, and MLOps Collaborate closely with the founding team on building deployable, scalable AI tools What We’re Looking For Strong foundation in Python and machine learning fundamentals Experience with frameworks like PyTorch, TensorFlow, or Hugging Face Transformers Familiarity with LLM tools such as LangChain, OpenAI API, or similar Ability to build and consume REST APIs Understanding of vector stores (e.g., FAISS, Pinecone, Weaviate) Bonus: Experience with full-stack frameworks (React/Next.js) or backend dev (FastAPI, Node.js) Excellent problem-solving ability and willingness to learn fast A builder mindset — you’re excited to ship, iterate, and improve What You’ll Gain Real-world experience building advanced AI products from the ground up Direct mentorship from engineers and founders High ownership and fast learning in a startup environment Option for a pre-placement offer (PPO) based on performance A chance to shape the future of AI with a company that’s just getting started How to Apply Apply with your resume + GitHub/portfolio link + short note on why you want to join Optivus . Send to: advik@optivustechnologies.com Subject line: AI Engineer Internship Application – [Your Name]

About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore We Are An Equal Opportunity Employer: Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements. Job Description We seek an innovative AI Engineer (Experience 2 - 5 yrs) to join our team and lead the development of scalable solutions using open-source technologies, LLM APIs , and advanced AI techniques. The ideal candidate will excel in designing RAG, Graph RAG, Agent Systems with function calling , and fine-tuning/customizing LLMs. Proficiency in hosting open-source models (e.g., Llama 2, Mistral) and integrating APIs (OpenAI, Anthropic, etc.) is critical, along with experience in Python frameworks like Fast API/Flask for production-grade deployments. Key Responsibilities: Architect, build, and optimize AI solutions using open-source models (e.g., Hugging Face, Ollama) and third-party LLM APIs. Design and implement advanced techniques including RAG, GraphRAG, Agent Systems with orchestration/function calling, and fine-tuning/prompt-tuning of LLMs. Deploy and manage self-hosted open-source models (e.g., via vLLM, TensorRT-LLM) with scalable APIs. Collaborate with teams to integrate AI/ML solutions into production systems using FastAPI, Flask, or similar frameworks. Develop automation pipelines for data retrieval, preprocessing, and model evaluation, ensuring alignment with business use cases. Stay ahead of AI trends (e.g., open-source LLM advancements, cost-efficient scaling) and drive strategic adoption. Ensure robust monitoring, testing, and documentation of systems for reliability and reproducibility. Five Reasons Why You Should Join Zycus Cloud Product Company: We are a Cloud SaaS Company, and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS, and we are developing our mobile apps using React. A Market Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features. About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore Job Requirement Experience & Qualifications: Bachelor’s/master’s in computer science, AI, or related field. Expertise in Python and backend frameworks like FastAPI/Flask. Hands-on experience with RAG architectures, Agent Systems (function calling/tool use), GraphRAG, or similar LLM-driven workflows. Ability to fine-tune LLMs (LoRA, QLoRA) and host/deploy open-source models (Llama 2, Mistral, etc.). Proficiency with LLM APIs (OpenAI, Anthropic, Groq) and vector databases (Pinecone, Qdrant, pgvector). Familiarity with NLP/ML frameworks (PyTorch, Transformers, LangChain, LlamaIndex) and cloud platforms (AWS, Azure, GCP). Skilled in building scalable APIs and microservices for AI applications. Preferred Qualifications: Experience optimizing inference for open-source models (quantization, distillation). Familiarity with multi-agent systems, chain-of-thought prompting, or LLM eval frameworks. Knowledge of distributed training, GPU optimization, and MLOps (MLflow, Kubeflow). Contributions to open-source AI/ML projects.