9814 Tensorflow Jobs - Page 44

Overview Create Architecture (Conceptual, Logical & Physical) for Reporting Gen Ai Technical Solution Design. Develop a comprehensive architecture framework that includes conceptual, logical, and physical layers. This framework should define the structure, processes, and components needed for effective AI4BI solutions using Generative AI. Work closely with the Platform Team to develop required features or capabilities, assist in testing and scaling. Engage collaboratively with the Platform Team to identify necessary features and capabilities for implementation. Participate actively in testing phases to ensure functionality and scalability, providing feedback and support as needed. Act as the intermediary between the Reporting Ai Engineering Team and the Platform Team to communicate platform capabilities, issues, and concerns, and facilitate resolution. Serve as the communication bridge between the Reporting AI Engineering Team and the Platform Team. Relay information about platform functionalities, address any issues or concerns raised, and assist in finding timely and effective resolutions. Conduct research on Generative Ai Technology to ensure the team stays updated with market trends. Perform ongoing research into advancements and trends within Generative AI technology. Share findings with the team to keep everyone informed and ensure the integration of cutting-edge techniques and tools. Provide technical leadership to the Reporting Ai Engineering Team and assist in resolving issues. Offer guidance and expertise to the Reporting AI Engineering Team on technical matters. Help troubleshoot problems and provide solutions, fostering a collaborative and proactive problem-solving environment. Ensure all Reporting Ai Solutions are built according to the Technical Design. Oversee the development process to confirm that all solutions adhere strictly to the predetermined technical design specifications. Conduct regular reviews and checks to maintain high standards of quality and consistency. Ensure all Reporting Ai Solutions comply with PepsiCo's Responsible Ai & GenAi standards. Verify compliance with PepsiCo's policies on Responsible AI and Generative AI standards throughout the solution development lifecycle. Implement best practices and ethical guidelines to uphold these standards. Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications. Work with various departments to gather detailed reporting needs. Translate these requirements into clear and actionable technical specifications to guide the engineering team. Stay informed about the latest advancements in GenAi and reporting technologies and apply them to enhance existing solutions. Keep abreast of new developments in both Generative AI and reporting technologies. Apply this knowledge to improve current solutions, ensuring they remain innovative and efficient. Responsibilities Create Architecture (Conceptual, Logical & Physical) for Reporting Gen Ai Technical Solution Design. Develop a comprehensive architecture framework that includes conceptual, logical, and physical layers. This framework should define the structure, processes, and components needed for effective AI4BI solutions using Generative AI. Work closely with the Platform Team to develop required features or capabilities, assist in testing and scaling. Engage collaboratively with the Platform Team to identify necessary features and capabilities for implementation. Participate actively in testing phases to ensure functionality and scalability, providing feedback and support as needed. Act as the intermediary between the Reporting Ai Engineering Team and the Platform Team to communicate platform capabilities, issues, and concerns, and facilitate resolution. Serve as the communication bridge between the Reporting AI Engineering Team and the Platform Team. Relay information about platform functionalities, address any issues or concerns raised, and assist in finding timely and effective resolutions. Conduct research on Generative Ai Technology to ensure the team stays updated with market trends. Perform ongoing research into advancements and trends within Generative AI technology. Share findings with the team to keep everyone informed and ensure the integration of cutting-edge techniques and tools. Provide technical leadership to the Reporting Ai Engineering Team and assist in resolving issues. Offer guidance and expertise to the Reporting AI Engineering Team on technical matters. Help troubleshoot problems and provide solutions, fostering a collaborative and proactive problem-solving environment. Ensure all Reporting Ai Solutions are built according to the Technical Design. Oversee the development process to confirm that all solutions adhere strictly to the predetermined technical design specifications. Conduct regular reviews and checks to maintain high standards of quality and consistency. Ensure all Reporting Ai Solutions comply with PepsiCo's Responsible Ai & GenAi standards. Verify compliance with PepsiCo's policies on Responsible AI and Generative AI standards throughout the solution development lifecycle. Implement best practices and ethical guidelines to uphold these standards. Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications. Work with various departments to gather detailed reporting needs. Translate these requirements into clear and actionable technical specifications to guide the engineering team. Stay informed about the latest advancements in GenAi and reporting technologies and apply them to enhance existing solutions. Keep abreast of new developments in both Generative AI and reporting technologies. Apply this knowledge to improve current solutions, ensuring they remain innovative and efficient. Qualifications Degree in Computer Science, Computer Engineering, Data Science or a related field preferred 10-14 years overall experience; 4+ years of professional experience working directly on the design, development and rollout of AI/ML/GenAi Solutions Proven experience in developing GenAI-driven using solutions various tech stacks like, Knowledge Graphs, AI Agents, AI Search, Meta data catalogue and more. Experience with AI and machine learning frameworks like TensorFlow, PyTorch, or similar. Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Experience with Azure cloud platforms like, AWS, or Google Cloud is a plus. Experience / involvement in organization wide digital transformations preferred Knowledge of natural language processing (NLP) and its application in reporting. Familiarity with data warehousing concepts and tools. Understanding of business intelligence and data analytics best practices. Differentiating Competencies Required Identify any differentiating behaviors, leadership skills or soft skills required for success in the role. Ability to work is a fast paced, agile environment with large cross-functional teams Ability to manage multiple priorities at the same time Exceptional quantitative and analytics skills Ability to understand psychology and motivation behind digital solution development and where digital assistants can improve user experiences Excellent interpersonal and communication skills, both written and verbal Flexibility to quickly learn new technologies and agility to deliver quick POC Ability to produce solutions independently in an organized manner and work in a team

Why Glasier Inc. For Your Dream Job? We're a passionate group of tech enthusiasts & creatives who live and breathe innovation. We're looking for energetic innovators, thinkers, and doers who thrive on learning, adapting quickly, and executing in real-time if you're a creative thinker with design, a marketer with a story to tell, or a passionate professional. Apply Now 01 Python Developer Openings: 01 Exp.: 2 - 2.5 Years Job Description: Design, build, and deploy ML models and algorithms. Preprocess and analyze large datasets for training and evaluation. Work with data scientists and engineers to integrate models into applications. Optimize model performance and accuracy. Stay up to date with AI/ML trends, libraries, and tools. Strong experience with Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Solid understanding of machine learning algorithms and principles. Experience working with data preprocessing and model deployment. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. PERKS & BENEFITS Working With Glasier Inc. We take care of our team members, so they can deliver their best work. Here are a few of the benefits and perks we offer to our employees: 5 Days Working Per Week Mentorship Mindfulness Flexible Working Hours International Exposures Dedicated Pantry Area Free Snacks & Drinks Open Work Culture Competitive Salary And Benefits Festival, Birthday & Work Anniversary Celebration Performance Appreciation Bonus & Rewards Employee Friendly Leave Policies Join our team now Send us an email hr@glasierinc.com Whats app on +91 95102 61901 Call at +91 95102 61901

Are you ready to shape the future of learning through cutting-edge AI? As a Principal AI/Machine Learning Engineer at Skillsoft, you’ll dive into the heart of innovation, crafting intelligent systems that empower millions worldwide. From designing generative AI solutions to pioneering agentic workflows, you’ll collaborate with internal and external teams to transform knowledge into a catalyst for growth—unleashing your edge while helping others do the same. Join us in redefining eLearning for the world’s leading organizations! Responsibilities : H ands-on Principal AI/ML engineer, driving technical innovation Partner with product owners to define visionary AI features Collaborate cross-functionally to assess impacts of new AI capabilities Consult and guide teams to productize prototypes with provable accuracy Lead research and selection of COTS and development of in-house AI/ML technologies Evaluate foundational models and emerging AI advancements Explore new technologies and design patterns through impactful prototypes Present research and insights to inspire innovation across teams Guide, d esign and test ing of agentic workflows and prompt engineering Fine-tune models, validate efficacy with metrics, and ensure reliability Evaluate and g uide synthetic data generation for training and validation Design and guide scalable data pipelines for AI/ML training and inference Oversee data analysis, curation, and preprocessing Collaborate with external partners on AI development and integration Establish AI design best practices and standards for alignment Contribute to patentable AI innovations Utilize and apply generative AI to increase productivity for yourself and the organization Environment, Tools & Technologies: Agile/Scrum O perating Systems – Mac , Linux JavaScript , Node.js , Python PyTorch , Tensorflow , Keras , OpenAI , Anthropic, and friends Langchain , Langgraph , etc. APIs GraphQL , REST Docker, Kubernetes Amazon Web Services (AWS) , MS Azure Sagemaker , NIMS SQL : Postgres RDS NoSQL : Cassandra, Elasticsearch ( VectorDb ) M essaging – Kafka, RabbitMQ, SQS Monitoring – Prometheus, ELK GitHub , IDE ( your choice ) Skills & Qualifications: 8+ Years of Relevant Industry Experience ( with a Master’s Degree Preferred) Experience with LLMs and fine-tuning foundation models Development experience including unit t esting Design and documentation experience of new APIs, data models, service interactions Familiarity with and ability to explain : Agentic AI development and testing AI s ecurity and data privacy concerns Synthetic data generation and concerns Foundation model fine-tuning Generative AI prompt engineering and challenges Attributes for Success : Proactive, Independent, Adaptable Collaborative team player Customer service minded with an ownership mindset Excellent analytic and communication skills Ability and desire to coach and mentor other developers Passionate, curious, open to new ideas , and ability to research and learn new technologies

Overview Intuit is seeking a Sr Data Scientist to join our Data sciences in Intuit India. The AI team develops game changing technologies and experiments that redefine and disrupt our current product offerings. You’ll be building and prototyping algorithms and applications on top of the collective financial data of 100 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax. You thrive on ambiguity and will enjoy the frequent pivoting that’s part of the exploration. Your team will be very small and team members frequently wear multiple hats. In this position you will have close collaboration with the engineering and design teams, as well as the product and data teams in business units. Your role will range from research experimentalist to technology innovator to consultative business facilitator. You must be comfortable partnering with those directly involved with big data infrastructure, software, and data warehousing, as well as product management. What you'll bring MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.). 2+ years of experience with data science for PhD and 5+ years for Masters. Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn. Efficient in SQL, Hive, or SparkSQL, etc. Comfortable in Linux environment Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining. Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences Preferred Additional Experience Apache Spark The Hadoop ecosystem Java HP Vertica TensorFlow, reinforcement learning Ensemble Methods, Deep Learning, and other topics in the Machine Learning community Familiarity with GenAI and other LLM and DL methods How you will lead Perform hands-on data analysis and modeling with huge data sets. Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products. Discover data sources, get access to them, import them, clean them up, and make them “model-ready”. You need to be willing and able to do your own ETL. Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders. Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

Job Title: AI/ML Engineer – Industrial Applications Location: Kochi Company: Goose Industrial Solutions Pvt. Ltd. Experience: 1–3 years Job Type: Full-Time About the Role: We are looking for a passionate and hands-on AI/ML Engineer to join our Industrial AI Application Hub in Kochi. The ideal candidate will work at the intersection of automation, machine learning, and industrial data to build real-world use cases and AI-powered products for the manufacturing, food & beverage, and process industries. 🛠️ Key Responsibilities: Develop, train, and deploy ML models using industrial data (SCADA, sensor logs, PLC time series, etc.) Collaborate with automation and instrumentation teams to understand plant processes and design relevant use cases Create predictive maintenance models (for pumps, valves, drives, etc.) Work on computer vision use cases (e.g., product inspection, leakage detection) Design and develop dashboards and integrate ML insights into Goose's automation systems Conduct PoCs and pilot projects at customer sites Document and present use cases and findings internally and externally 🧩 Key Skills Required: Strong knowledge of Python , NumPy , Pandas , Scikit-learn , TensorFlow/PyTorch Experience in time-series analysis , anomaly detection , or predictive modeling Familiarity with OpenCV or other computer vision tools Understanding of edge computing and cloud integration (optional but preferred) Basic exposure to industrial protocols (Modbus, OPC UA, MQTT) is a plus Experience with SQL , NoSQL , and data visualization tools like Plotly, Dash, or Power BI 🎓 Qualifications: B.E./B.Tech or M.Tech in Computer Science, Electronics, Electrical, or related fields 1–3 years of relevant industry or academic experience in AI/ML Industrial/IoT/SCADA data experience will be an added advantage

We are seeking a Senior Software Engineer – AI with 3+ years of hands-on AI/ML experience and a strong background in Generative AI and Agentic AI . This role is perfect for individuals who thrive in startup-like environments —fast-paced, product-focused, and innovation-driven. You’ll design and deploy intelligent, scalable AI systems leveraging cutting-edge technologies like LLMs and autonomous agents. Key Responsibilities Build and deploy AI-driven applications using Generative AI and Large Language Models (LLMs). Design and implement Agentic AI systems capable of multi-step reasoning and autonomous execution. Collaborate with product, design, and engineering teams to integrate AI capabilities into products . Write clean, scalable code and develop robust APIs and services for AI deployment. Manage end-to-end feature delivery from research and experimentation to deployment and monitoring. Stay updated on emerging AI frameworks, tools, and best practices; apply them in real-world products. Mentor junior team members and contribute to a high-performing engineering culture . Required Skills & Experience 3–6 years total software development experience (3+ years in AI/ML). Strong proficiency in Python with hands-on experience in PyTorch, TensorFlow, Transformers (Hugging Face) . Proven expertise with LLMs (GPT, Claude, Mistral) and Generative AI (text, image, or audio). Experience with Agentic AI frameworks (LangChain, AutoGPT, Semantic Kernel). Practical experience deploying ML models to production environments . Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts . Understanding of API development, version control (Git), DevOps/MLOps practices . Ability to work in fast-paced, product-driven environments with adaptability and ownership. Why Join Us Work on cutting-edge Generative AI and Agentic AI systems . Fast-paced, innovation-focused work culture with high impact. Growth opportunities in a rapidly evolving AI ecosystem . Apply today to help shape the next generation of AI-powered products Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,600,000.00 per year Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 3 years (Preferred) Work Location: In person

Experience: 3–4 years Location: On-site — Gurgaon, India Employment Type: Full-time About tracebloc tracebloc is a Berlin-based AI startup building tooling for data scientist, allowing them to evaluate and benchmark third-party AI models without the need to expose their data. We have recently received $2,5m in funding and are aiming to build the category leader in AI model discovery. About the Role We are seeking a capable and self-driven Junior ML Engineer with 3–4 years of experience and hands-on experience in building and deploying production-grade machine learning systems. This role is pipeline-centric and ideal for individuals with at least 1 year of core ML/DL engineering experience , including experience in ML pipelines, workflow orchestration, and production deployment . You will be independently responsible for architecting, developing, and maintaining a scalable ML platform — not just individual models — enabling robust and reusable workflows. This is a full-time, on-site role based in Gurgaon . How to apply: To help us better understand your hands-on capabilities, please include the following in your application: A link to your Git repository (e.g., GitHub, GitLab) showcasing ML pipelines or deployment code you've worked on. If you don’t have a public repo , you can share sample code demonstrating your skills, or submit a detailed project write-up describing the architecture, workflow, and your contributions. A short Loom video (around 3 minutes) or screen recording explaining a project you’ve worked on . Walk us through your codebase or workflow, explaining: The structure of the solution Design decisions and trade-offs Technologies used Please send your application to info@tracebloc.io , divyasingh@tracebloc.io , shujaat@tracebloc.io. Key Responsibilities Build and manage end-to-end ML pipelines (data prep, training, deployment, monitoring) Deploy ML systems on cloud (AWS/Azure) using Docker/Kubernetes Create reusable components to support multiple ML workflows Write clean, testable Python code for production Implement CI/CD for ML workflows. Monitor and improve deployed models Required Skills Strong hands-on experience in Python, with proficiency in ML libraries such as scikit-learn, pandas, NumPy, PyTorch, tensorflow. Experience in building end-to-end ML pipelines (not notebooks or isolated scripts). Deep understanding of pipeline design patterns and best practices for production environments. At least one year e xperience in building ML Pipelines for Computer Vision and NLP tasks . Good understanding of production best practices: versioning, automation, monitoring. Good to have Skills Hands-on experience with AWS and/or Azure cloud services for data science workloads Understanding and experience with Kubernetes and Docker Experience setting up and maintaining CI/CD pipelines for ML deployments. Ability to write and maintain unit tests, integration tests, and validation tests for ML pipelines and APIs Prior work on platform architecture for multi-tenant ML workflows

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA’s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America. Job Description/Preferred Qualifications Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA’s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America. Responsibilities Design, development and implementation of cutting-edge deep computer vision, signal processing, traditional machine learning or image processing algorithms. Rapid prototyping and validation of new image processing, machine learning related ideas. Develop end to end solutions that are holistic considering the system, imaging pipeline, the user experience and the end application requirement Work in a highly cross functional organization to participate/drive systems integration of algorithms. Write robust production quality code. Own prototype to production of algorithms Strong background in one or more of the following areas: Signal processing, machine Learning, deep learning, computer vision, image processing Proficiency in C/C++, Matlab, python and object-oriented design Experience in design and rendering software is a plus Knowledge of common deep learning frameworks like TensorFlow, PyTorch Ability to formulate problems into mathematical equations. Team player with excellent written and verbal communication skills. Ability and willingness to travel worldwide to support demos and projects at customer sites. Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

We are looking for an experienced Python Developer with expertise in AI and ML. The ideal candidate should have a strong background in data-driven development, model deployment, and good English communication for international client interaction.

QA Tester – Machine Learning Experience: 1–2 Years Location: Netaji Subhash Place, Delhi Employment Type: Full-time Job Summary: We are looking for a passionate and detail-oriented QA Tester with 1–2 years of experience to join our AI team. In this role, you will work closely with AI-ML engineers and software developers to ensure the quality and reliability of ML models, data pipelines, and model-integrated applications. Key Responsibilities: Design, develop, and execute test plans and test cases for ML models and data pipelines. Validate model outputs against ground truth datasets, with a focus on evaluating classification performance metrics like accuracy, precision, recall, F1-score, and ROC-AUC. Perform functional, regression, and integration testing for applications incorporating ML models. Collaborate with ML engineers to ensure testability and performance of models. Write scripts to automate model testing and data validation. Identify, record, document, and track bugs and model anomalies. Ensure data quality and consistency in training and inference pipelines. Test and validate APIs serving ML models in production. Contribute to continuous improvement of QA processes and tools. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 1–2 years of experience in QA/testing roles, preferably in ML or data-heavy environments. Solid understanding of QA methodologies, tools, and processes. Experience in testing REST APIs and working with tools like Postman or Swagger. Basic knowledge of Python, with experience in test automation using PyTest or similar frameworks. Familiarity with ML concepts and Docker. Hands-on experience working with structured/unstructured datasets. Ability to write clear, concise, and comprehensive test cases and test reports. Preferred Qualifications: Experience with ML libraries like scikit-learn, TensorFlow, or PyTorch. Exposure to data annotation, labeling, or synthetic data generation tools. Familiarity with version control systems (e.g., Git) and CI/CD workflows. Knowledge of SQL or MongoDB for data validation. Understanding of data drift, model degradation, and ML lifecycle monitoring. Why Join Us? Work on real-world ML products with a measurable impact. Collaborate with a dynamic and skilled team. Opportunity to grow in both QA and ML domains. Flexible work environment and supportive culture. Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Work Location: In person Speak with the employer +91 8178295650

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

We’re Hiring – Mid-Level Associate – AI Engineer 📍 Location: Bristletech Pvt Ltd, Hi-Tech City/Kondapur, Hyderabad 🕒 Experience: Minimum 2 Years 💰 CTC:* ₹5 LPA 📅 Joining: Immediate preferred --- 🔧 Role Overview Bristletech is looking for a dedicated and skilled *AI Engineer* with at least 2 years of hands-on experience to join our fast-growing team. You will work on developing and deploying intelligent systems and AI agents that support our digital and automation services. ✅ Key Responsibilities * Design and develop AI-powered solutions and agents using LLMs and modern frameworks. * Integrate models into applications using APIs and backend tools (Flask/FastAPI). * Work with teams to build end-to-end AI workflows and automation tools. * Maintain and optimize model performance and system efficiency. * Contribute to innovative internal projects in AI image, video, and text generation. 🧠 Required Skills * Proficiency in *Python* (with Flask/FastAPI). * Knowledge of *machine learning* and *deep learning* (TensorFlow, PyTorch, or Scikit-learn). * Hands-on experience with *LLMs, **Langchain, **Vector Databases* (FAISS, Pinecone), and *OpenAI APIs*. * Experience with *prompt engineering* and developing *chatbots* or *AI agents*. * Familiar with *Docker*, Git, and API integration. 🛠 Good-to-Have Skills * Understanding of *MERN Stack* for front-end integration. * Experience using *n8n*, Zapier, or automation pipelines. * Basic cloud experience (AWS/GCP/Azure). * Exposure to *RAG (Retrieval-Augmented Generation)* systems. 🎓 Qualifications * Bachelor’s Degree in Computer Science, AI/ML, Data Science, or a related field. * 2+ years of experience in applied AI engineering. 🏢 Work Mode:On-site (Hi-Tech City / Kondapur office) 🗓 Availability: Immediate Joiners Preferred 📨 Apply Now: Send your resume to hr@bristletech.com

Role Title: Director - AI Engineering Lead Location: Chennai We are one purpose-led global organisation. The enablers and innovators, ensuring that we can fulfil our mission to push the boundaries of science and discover and develop life-changing medicines. We take pride in working close to the cause, opening the locks to save lives, ultimately making a massive difference to the outside world. AstraZeneca (AZ) is in a period of strong growth and our employees have a united purpose to make a difference to patients around the world who need both our medicines and the ongoing developments from our science. In this journey AZ must continue to work across borders and with partners and new colleagues in a fast and seamless way. The ambition, size and complexity of the organisation, coupled with the opportunities afforded by new technology, has led the Board to approve a large-scale transformation programme – Axial. The Axial Programme will be powered by S/4HANA a new ERP (Enterprise Resource Planning) system which will be implemented right across the organisation and will provide our business with standardised processes, enhanced financial management, common data and real time reporting, transforming the way we work through our entire supply chain - from bench to patient. The new system will be used by more than 20,000 employees daily, is foundational to all AZ entities and is central to most core business processes. This is a once in a generation programme for AstraZeneca and will shape our ways of working globally for many years to come. The Axial programme needs the best talent to work in it. Whether it’s the technical skills, business understanding or change leadership, we want to ensure we have the strongest team deployed throughout. We are aiming to deliver a world class change programme that leaves all employees with a fuller understanding of their role in the end-to-end nature of our global company. This programme will provide AZ with a competitive edge, to the benefit of our employees, customers and patients. The AI Engineering Lead will be responsible for leading the development and implementation of AI and machine learning solutions that drive business value. This role requires a strategic thinker with a strong technical background in AI technologies, data analytics, and a proven ability to manage cross-functional teams. The ideal candidate will have a strong background in AI, machine learning, and natural language processing, coupled with hands-on experience in Python programming. What You’ll Do Lead a focused team to explore and harness the Generative AI capabilities. Design and execute Proof of Concepts (PoCs) to validate AI use cases. Develop and implement initial use cases that leverage Generative AI and Machine Learning technologies. Establish and oversee governance frameworks for AI applications to ensure compliance and ethical use. Collaborate with senior leadership to define the AI operating model and strategic direction. Foster a culture of ideation and innovation within the Axial team, encouraging exploration of new innovative technologies and methodologies. Architect and implement generative AI models tailored to produce structured outputs such as text or images. Research and apply advanced machine learning algorithms to improve model efficiency and accuracy. Create user-friendly applications using Streamlit Handle large datasets, perform data cleaning, and apply feature engineering to prepare data for model training. Work collaboratively with cross-functional teams to understand requirements and translate them into technical solutions. Optimize and fine-tune GPT models to improve output quality and efficiency. Conduct research and stay up to date with the latest advancements in AI, machine learning, and NLP to integrate new methodologies into existing processes. Debug and resolve issues in AI models and the associated infrastructure. Document technical specifications and processes to support ongoing development and enhancements. Support the deployment and integration of AI solutions into existing systems. Essential For The Role At least 5 years’ experience demonstrating technical skills in one or more of the following areas: Generative AI, machine learning, recommendation systems, pattern recognition, natural language vision or computer vision. Proficiency in using Streamlit to create interactive and visually appealing web applications. Extensive experience in software development including full SDLC Experience of developing and integrating applications using APIs Solid understanding of natural language processing (NLP) techniques and applications. Experience using computer vision techniques Experience with machine learning frameworks and libraries (TensorFlow, PyTorch, etc.). Strong software development skills, including python and scala. Experience with automation strategies (CI/CD etc) and containerisation (Kubernetes, Docker) is key. Excellent problem-solving skills and attention to detail. Excellent written and verbal communication, business analysis, and consultancy skills Desirable for the role Prior experience in Azure AI stack Knowledge of large language models like GPT, Claude, Gemini. Experience with version control systems like Git. Knowledge of agents and multi-agent systems, including agent-based modelling and simulation. Familiarity with decision-making algorithms and systems that exhibit goal-directed behaviour. Strong foundation in linear algebra, calculus, probability, and statistics. Ability to apply mathematical concepts to optimize models and interpret results Experience of multi-cloud cloud platform (AWS, Azure, GCP) is an advantage. Azure as primary experience Proficient working in high performance computing or cloud environment Experience in translating requirements into fit for purpose models, processing designs, data mappings and data profile reports Experience in working relevant domains e.g. Pharma, R&D, Manufacturing, Commercial, Finance, HR, Legal, Facilities etc. Why AstraZeneca? At Astrazeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare. So, what’s next? Are you already imaging yourself joining our team? Good, because we can’t wait to hear from you. Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and hope its yours If you’re curious to know more then we welcome your application no later than Where can I find out more? Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/ Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/ Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en Date Posted 22-Jul-2025 Closing Date 03-Aug-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Job Summary: We are seeking a forward-thinking Digital Solutions Analyst with a strong foundation in product development , AI , and data science to drive innovative, data-driven digital solutions across our business. The ideal candidate will bridge the gap between business needs and technical solutions, leveraging AI and data insights to guide product strategy, development, and optimization. Key Responsibilities: Collaborate with cross-functional teams (product, engineering, data science, and business stakeholders) to identify digital opportunities and define solution requirements. Translate business needs into functional requirements and data-driven solution designs. Support end-to-end product development lifecycles — from ideation and prototyping to delivery and iteration. Leverage AI/ML and data science tools to provide insights, automation, and advanced analytics solutions. Analyze and model business processes to identify areas for digital transformation or optimization. Design and maintain dashboards and reports to support decision-making. Evaluate third-party tools or platforms relevant to digital and AI solutions. Monitor KPIs to measure product success and identify opportunities for improvement. Required Qualifications: Bachelor’s or master’s degree in computer science, Data Science, Engineering, Business, or related field. 16+ years of experience in digital solutions, product development, or data analytics. Hands-on experience with AI/ML frameworks (e.g., TensorFlow, Scikit-learn, or similar). Proficient in data analysis tools (e.g., Python, R, SQL, Power BI, Tableau). Understanding product management methodologies (Agile, Scrum). Strong analytical, problem-solving, and communication skills. Preferred Qualifications: Experience working in cloud environments (AWS, Azure, or GCP). Familiarity with APIs, microservices, or digital platform architectures. Previous experience in consulting, digital transformation, or innovation labs. Certification in product management, data science, or AI is a plus. Soft Skills: Strong stakeholder engagement and communication abilities. Curious, innovative mindset with a passion for emerging technologies. Ability to manage multiple projects and prioritize effectively.

About Arctan At Arctan, we’re solving a hard problem that matters: Eliminating communication barriers in Global conversations. Our AI product refines speech on the fly, adjusting accents and tonality, helping Customer Facing teams engage better with their customers and build rapport effortlessly across cultures. Role Overview As a Data Scientist, you will play a key role in improving and optimising the models that drive Arctan’s real-time speech AI. You’ll work on analysing, processing, and modelling data to make our systems smarter. Specifically, you’ll: Develop and fine-tune Speech to Speech machine learning models Experiment with data-driven solutions to enhance AI performance. Work on feature engineering and dataset preparation to train robust models. Collaborate with the team to evaluate and deploy models into production. What we’re looking for: Strong problem-solving skills, paired with a passion for learning. 1-3 years of experience in Data Science and related fields. Experience with speech processing or NLP. Proficiency in Python and familiarity with data science libraries. Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with working on datasets and data preprocessing techniques. Benefits And Perks: You’ll be joining an early stage startup building foundational Speech models Being a part of a small, high talent density team would accelerate your career growth You'll wear multiple hats, own meaningful projects, and build things that ship.

Redefine the future of customer experiences. One conversation at a time. We’re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you’re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you’re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing Nextiva is seeking a hands on, experienced, and visionary Engineering Manager to lead our AI Agents team within the Data & Intelligence Platform group. You will be responsible for leading a team that develops intelligent, multimodal AI agents (voice and chatbots) as part of Nextiva’s next-generation customer experience platform. You will apply expertise in machine learning and software engineering to build AI-driven features that transform how businesses engage with customers. This position offers the opportunity to work at the forefront of generative AI and multimodal interactions, creating scalable AI solutions that blend automation with the human touch to deliver exceptional customer experiences. Success in this role will be measured by your ability to deliver AI features that measurably improve customer experiences (e.g., higher self-service resolution rates, faster response times, improved user satisfaction) while maintaining high software quality and ethical AI standards. You will help Nextiva achieve a balanced integration of AI and human interaction, directly contributing to our CX-first vision. Key Responsibilities Team Leadership & Development: Lead, mentor, and grow a team of AI Software Engineers. Foster a culture of innovation, collaboration, and continuous learning. Provide technical guidance and career development support. Technical Oversight: Oversee the design, development, and deployment of AI agents for Nextiva’s products that understand and respond to customers in multiple formats (e.g., spoken voice, written text). Ensure delivery of high-quality, scalable, and reliable features. Guide the integration of NLP, speech recognition, and large language models into production systems. AI Model Integration: Integrate large language models and other AI/ML components into the Agentic AI Platform to enable capabilities such as question answering, task automation, sentiment analysis, and recommendations. Ensure that AI models and solutions perform effectively in real-world environments and at scale. Multimodal Interaction Systems: Build and integrate components for multimodal interactions, including speech-to-text, text-to-speech, and dialog management systems. Performance Optimization: Optimize AI algorithms and agent frameworks for performance, scalability, and reliability. Use data-driven methods to tune model accuracy and response times. Quality, Ethics & Compliance: Implement robust testing (unit, integration, end-to-end) for AI features to ensure reliability and correctness. Incorporate ethical AI practices, ensuring AI agent behavior is unbiased and compliant with privacy and security regulations. Cross-Functional Collaboration: Partner and collaborate across the product organization to define the roadmap for AI agent capabilities. Translate business goals into technical strategies and execution plans. Innovation & Thought Leadership: Stay current with advancements in AI, machine learning, and multimodal interaction systems. Drive innovation by evaluating and adopting emerging technologies. Qualifications Education & Experience: Bachelor’s degree in computer science, Software Engineering, or a related field (required). A Master’s degree in AI, Machine Learning, or a related discipline is strongly preferred. Equivalent practical experience in AI/ML development will also be considered. Experience: 8+ years of software development experience, including 3+ years in a technical leadership or management role. Proven track record in AI/ML product development. Proven experience developing production-grade software (e.g., backend services, APIs, data pipelines) in a collaborative team environment. AI/ML Expertise: Strong understanding of AI and machine learning fundamentals with hands-on experience in natural language processing (NLP) and/or deep learning. Familiarity with the latest AI advancements (e.g., transformer-based models, conversational AI frameworks) and a history of applying AI models to solve real-world problems. Technical Skills: Proficiency in programming languages commonly used for AI development, such as Python (with ML libraries like TensorFlow or PyTorch) and/or a general-purpose language like Java or C# for scalable systems. Experience with machine learning frameworks and libraries for NLP, speech, or computer vision (e.g., Hugging Face Transformers, OpenAI APIs, spaCy, Kaldi, AWS/GCP/Azure AI services) is expected. Multimodal Interaction Knowledge: Experience with speech and language technologies – for example, integrating speech-to-text (ASR) and text-to-speech (TTS) engines, or building chatbots and voice bots for conversational interfaces. Cloud & Scalability: Familiarity with cloud platforms and deploying AI/ML models at scale (AWS, Google Cloud, or Azure). Experience with microservices architecture and containerization (Docker, Kubernetes) for AI services. Leadership Skills: Demonstrated ability to lead high-performing engineering teams. Strong project management, communication, and stakeholder engagement skills. Nextiva DNA (Core Competencies) Nextiva’s most successful team members share common traits and behaviors: Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success. Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking, and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies. Right Attitude: They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security💰 - Provident Fund & Gratuity Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives Growth 🌱 - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what’s going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog.

Responsibilities: Analyze business needs and translate them into technical and functional requirements, with a focus on AI-based tools and features . Collaborate with cross-functional teams (Product, Development, Marketing, QA) to develop AI-powered fintech solutions. Understand AI algorithms at the application level to propose realistic, value-driven enhancements. Prepare wireframes, flowcharts, use cases, and user stories that incorporate AI-driven features or automation logic. Facilitate discussions between business teams and developers to ensure clear alignment on goals. Assist in data analysis, model validation inputs, and AI tool integration within products. Coordinate with QA for UAT and ensure product deliverables meet business objectives. Keep up-to-date with the latest AI trends, tools (e.g., NLP, ML, chatbots), and fintech compliance regulations. Requirements: Bachelor’s degree in Computer Science, Information Technology, Business Administration, or a related field. 1-2 years of experience as an IT Business Analyst in a tech or AI/ML-driven environment. Strong understanding of AI applications , data-driven solutions, and modern AI tools/platforms (e.g., ChatGPT, TensorFlow, Azure AI, Google AI tools). Experience working in Agile/Scrum environments and using tools like JIRA, Confluence, Figma, etc. Excellent communication and stakeholder management skills. Ability to simplify technical AI concepts for business users. Job Types: Full-time, Permanent Pay: From ₹200,000.00 per year Benefits: Commuter assistance Flexible schedule Leave encashment Life insurance Provident Fund Ability to commute/relocate: Manjeri, Kerala: Reliably commute or planning to relocate before starting work (Required) Shift availability: Day Shift (Required) Night Shift (Required) Work Location: In person

🧑‍💼 Role/Position Name: AI Lead 📍 Location: On-site – Tiruchirappalli, India 🧠 Experience: 4+ Years 📩 Contact: swathika@iagami.com 📄 Job Description: As an AI Lead , you will drive the design, development, and deployment of advanced AI solutions across our core platforms. Your focus will be on NLP, LLM fine-tuning, and applying machine learning models to real-world problems. You'll collaborate with product, engineering, and domain experts to translate ideas into intelligent solutions. 🔧 Key Responsibilities: Lead AI/ML initiatives and guide junior engineers Build and fine-tune Large Language Models (LLMs) and NLP pipelines Design machine learning workflows for classification, prediction, and recommendation systems Integrate AI models into production environments with scalability and performance in mind Conduct data preprocessing, feature engineering, and experimentation Collaborate with cross-functional teams to align AI outputs with business goals Stay updated with the latest trends in deep learning, LLMs, and generative AI ✅ Required Skills and Qualifications: ✔️ 4+ years of hands-on experience in AI/ML engineering ✔️ Proficient in Python , with experience in TensorFlow, PyTorch, or Hugging Face ✔️ Strong background in Natural Language Processing (NLP) ✔️ Experience working with LLMs (e.g., GPT, BERT, LLaMA) and transformer architectures ✔️ Familiarity with ML Ops tools, version control, and deployment practices ✔️ Solid grasp of AI ethics, model evaluation, and optimization ✔️ Strong communication skills and the ability to mentor junior engineers ✔️ Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or a related field 📧 Ready to lead AI innovation? Send your updated resume to swathika@iagami.com  #AILead #NLPJobs #LLM #HiringNow #PythonDeveloper #MLJobs #ArtificialIntelligence #TrichyJobs #iAgamiTechnologies #TechCareers #DataScienceJobs

Title: - AI Engineer Location: Remote Type: Full-time Experience: 2–5 years About Omelo Omelo is India’s first intelligent pet health companion, an AI-powered assistant that helps pet parents care for their pets proactively. From image-based symptom scanning (skin, eyes, stool) to multilingual chat and vet-backed guidance, we’re building the health stack pets deserve. Every year, millions of pets in India go undiagnosed due to a lack of access or awareness. At Omelo, we’re changing that, with inclusive, AI-first tools accessible via WhatsApp, web, and mobile. Why This Role Matters AI isn’t a support function here; it is the product. From visual health scans to symptom conversations, every user interaction is powered by real-time AI. What You’ll Work On Build and scale computer vision models to detect pet health symptoms (e.g., rashes, eye infections, stool quality) Enhance our multimodal AI assistant, combining vision, NLP, and structured inputs Lead end-to-end AI workflows: data labeling, training, optimization, and deployment Tune models with real-world feedback loops, improving performance across diverse pet types and conditions Collaborate with product, design, and vet advisors to ship features that are clinically useful and intuitive What Success Looks Like In 3–6 Months Ship 2 high-impact CV modules (e.g., skin or stool detection) used in production Improve top-line model precision/recall by 30% via iteration and feedback Deploy your models into production across mobile/web with real user traction Contribute meaningfully to our core health scoring and assistant logic What We’re Looking For 2–5 years of experience building and shipping ML models, especially in health, agri, food, or diagnostic tech Strong hands-on experience with computer vision (CNNs, classification, segmentation, etc.) Comfort with NLP or LLMs for enhancing chat-based UX (Hugging Face, LangChain, etc.) Fluent in Python and familiar with tools like TensorFlow/PyTorch, FastAPI, GCP/AWS Bonus: Experience with mobile inference (ONNX, Core ML, TensorFlow Lite) Bonus: You’ve worked with real-world health or animal datasets (not just academic ones) Tools & Workflow We Work With Python, PyTorch, TensorFlow, Hugging Face FastAPI, Label Studio, ONNX GCP, Firebase, Postgres You don’t need to know them all, but familiarity helps! What We Offer AI is the product, not a side project Real-world pet health data, with vet-labeled image and symptom datasets Direct collaboration with the founder, engineers, and vet experts Fast cycles, zero bureaucracy, and full model ownership Path to early equity and technical leadership for the right person Skills: machine learning,multimodal ai,nlp,datasets,python,mobile,models,ai,data,bonus,building,pytorch,aws,fastapi,tensorflow,computer vision,chat,gcp,health

Job Title: Senior IT Engineer – Storage & Backup Location: Hyderabad, India Role Overview KEY RESPONSIBILITIES: Possess fundamental knowledge in one specialized discipline. Responsible for quality and timeliness of result for a portion of project/process. Make more complex technical decisions independently. Implement checks and balances independently to minimize impact of mistakes. Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality PREFERRED EXPERIENCE: Must be proficient in Python and at least one other language Experience with C/C++, Java, C#, Bash, PowerShell preferred Experience implementing functionality above readily available libraries, as well as implementing existing libraries. Experience building/training models and implementing solutions using PyTorch, Tensorflow, and TorchRL Knowledge of Large Language models, Multimodal models, and general computer vision techniques a plus. Experience with Database interactions (SQL, etc.), Windows and Linux (Debian, RHEL) troubleshooting, as well as QA and CI workflows would be an asset. Strong understanding & Hands on exp. with Windows OS internals, device manager, Hands on with issue debugging skills, issue isolation with Windows kernel, driver module level. Good understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS & VBIOS will be added advantage. Analytical, problem-solving, and critical thinking skills required. Objected Oriented Programming experience of some kind required. Good verbal & written communication skill is must. Good attitude, result driven & ability to deliver on next gen technology

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture. Want to join the leader in AI-powered data security? About The Team Join a cutting-edge team at the intersection of AI, automation, and global user experience. We work closely with engineering, AI/ML, DevOps, and product teams to ensure seamless, multilingual product quality. We're building intelligent automation frameworks that scale across languages and platforms—delivering globally ready products with precision, speed, and cultural relevance. If you're passionate about AI-driven testing, cloud technologies, and automation at scale, we’d love to have you on board. About The Role As a Software Quality Engineer, you’ll drive automation and validation for multilingual, cloud-native storage and backup products. This hybrid role blends QA expertise with domain knowledge in Storage, Backup, Virtualization, and localization. You’ll build scalable automation (Python, Robot Framework), simulate real-world language environments, and validate AI/ML-powered content — ensuring fast, accurate, and high-quality global releases. Ideal for those who thrive on technical depth, cross-functional teamwork, and innovation in AI-driven localization testing. How You’ll Spend Your Time Here Design, develop, and maintain automated localization test frameworks for multilingual UI and content validation using Python, Robot Framework, or similar tools. Manage and generate test datasets using your understanding of NAS, SAN, Object Storage, and backup/restore configurations. Integrate AI/ML models for advanced analysis of localized content, including text, voice, and image-based quality validation. Build and execute test strategies across Storage, Backup, and Virtualization product lines that have a global reach. Automate localization quality checks to validate UI/UX consistency, layout integrity, cultural appropriateness, and linguistic accuracy. Simulate localized user environments using virtualization tools such as VMware, KVM, and Hyper-V. Define and implement end-to-end test methodologies and test plans that reflect both user expectations and technical requirements. Perform root cause analysis, log defects using tools like JIRA, and ensure timely resolution with relevant teams. Test REST APIs, microservices, and containerized applications using tools like Postman, REST Assured, etc. We’d Love to Talk to You If You Have Many of the Following: B.Tech/M.Tech in Computer Science or related field with 2-8 years of experience in QA Automation and Localization Testing. Proven experience testing system-level products involving storage, networking, or virtualization. A strong commitment to product quality and detail orientation. Expertise in Python programming and experience with tools like Robot Framework, Selenium, or Appium. Applied experience with AI/ML tools/libraries such as spaCy, Transformers, TensorFlow, OpenAI, or Google Translate APIs. Strong understanding of Storage, Backup, and Virtualization technologies. Experience working on Cloud platforms (AWS, Azure, GCP) including CI/CD integrations. Familiarity with i18n and l10n practices, and experience in localization tooling and workflows (e.g., Crowdin, Smartling, SDL Trados). Familiarity with Hypervisors (e.g., ESXi, Hyper-V, KVM). Knowledge of containerization tools like Docker and orchestration via Kubernetes. Comfortable working in Linux environments, with hands-on shell scripting skills. Strong test planning, execution, and problem-solving skills. Demonstrated ability to work independently, manage priorities, and adapt to fast-paced environments. Fluency in English; knowledge of additional languages like Japanese, French, or Chinese is a plus. Experience using or validating LLM-based translation or testing tools like XTM is highly desirable. Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making. Data Privacy Notice For Job Candidates For information on personal data processing, please see our Privacy Policy . Equal Employment Opportunity Employer (EEOE) Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or talent@cohesity.com for assistance. In-Office Expectations Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.

Job Title: Data Science Intern Company: Coorix.ai Location: Remote Duration: 3 months Opportunity: Full-time role based on performance + Internship Certificate Coorix.ai Coorix.ai provides students and graduates with hands-on experience in Data Science and AI, helping them build skills and portfolios through real-world projects. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your application with the subject line "Data Science Intern Application." 📅 Deadline: 26th July 2025 Note:- Coorix.ai is an equal opportunity employer, welcoming diverse applicants.

As an AI/ML Engineer at SolGuruz, you will play a crucial role in harnessing the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to transform software with advanced AI/ML capabilities. Your efforts will directly impact the user experience, pushing the boundaries and setting new benchmarks in AI-driven products. Your responsibilities will involve designing and implementing cutting-edge AI/ML models and solutions. You will delve deep into generative AI models and techniques, spanning Text-to-Speech, Speech to Text, Speech to Speech, Text to Image, and Image to Text. Evaluating AI models across diverse applications like content creation, design automation, Cloud Vision AI, and Natural Language AI will be part of your core tasks. Writing and maintaining high-quality Python code that is not only efficient and scalable but also well-documented will be essential. Collaboration with fellow engineers, researchers, and product managers to define requirements, brainstorm solutions, and refine designs will be a key aspect of your role. Additionally, contributing to the development of internal tools and infrastructure for AI/ML research and development will be expected. To excel in this role, you should stay updated on the latest advancements in AI/ML research and development. Having an understanding of AI Chatbots, document search, MLOps, supervised learning, unsupervised learning, Video analytics, Image analytics, NLP, exploratory data analysis, descriptive analytics, prescriptive analytics, and predictive analytics is crucial. What We Are Looking For: - Proficiency in Large Language Models such as Open AI, Stable Diffusion, and Generative AI models/services offered by AWS, Azure, and Google. - Hands-on experience with popular machine learning libraries like TensorFlow, PyTorch, etc. - Practical knowledge of AI/ML development using Python and advanced scripting in Python. - Expertise in databases, especially vector databases, along with strong experience in one of the cloud platforms. - Experience in implementing MLOps practices for machine learning models using Azure ML/AWS Sagemaker. Why SolGuruz - Embrace a culture that fosters innovation and forward-thinking. - Opportunities for professional growth and career advancement. - No bond, no contract. - Work 5 days a week with flexible timings to support work-life balance. - No bossism culture - thrive through collaboration. - Benefit from a high-config laptop to boost productivity. - Engage in various activities to enhance team spirit. Skills: text-to-speech, image to text, TensorFlow, AI/ML, PyTorch, vector databases, Large Language Models, Python, Azure, AWS, speech to text, cloud platforms, MLOps, NLP, text to image, speech to speech, generative AI.,

The position of Data Scientist in the Fraud & Operational Analytics Team of the Data & Analytics department involves creating Machine Learning/AI solutions to enhance fraud prevention and improve operational scalability. Your primary focus will be on developing cutting-edge ML solutions to drive customer experience, reduce operational costs, and mitigate risks effectively. As a Data Scientist, your responsibilities will include analyzing extensive datasets to extract business insights, understanding various fraud patterns, developing advanced ML models for fraud detection, and innovating with a continuous emphasis on improving approaches. You will also be exploring additional data sources to enhance the effectiveness of traditional sources and exhibiting expertise in data strategy and model training pipelines. Moreover, you will be expected to drive insights for actionable data-driven strategies, provide analytical support to the business and risk teams through bespoke and strategic analysis, and possess proficiency in econometric, statistical, and machine learning techniques. Strong knowledge of Python, SQL, Pandas, NumPy, Sklearn, TensorFlow/PyTorch, and statistical concepts for regression, classification, and anomaly detection is essential for this role. To qualify for this position, you should hold a Bachelor's degree in Science, Technology, or Computer Applications for Graduation and a Master's degree in the respective fields for Post-Graduation. The ideal candidate will have 2 to 5 years of experience in the field of data science, demonstrating a logical thought process and the ability to translate complex problems into data-driven solutions effectively.,

We are seeking a proactive Computer Vision Engineer who excels in dynamic environments and has a passion for developing practical AI systems. If you have a keen interest in working with video, visual data, cutting-edge ML models, and resolving impactful challenges, we are eager to connect with you. This position merges deep learning, computer vision, and edge AI, focusing on constructing scalable models and intelligent systems to drive our advanced sports technology platform. Your responsibilities will include designing, training, and refining deep learning models for real-time object detection, tracking, and video comprehension. You will be responsible for implementing and deploying AI models utilizing frameworks such as PyTorch, TensorFlow/Keras, and Transformers. Working with video and image datasets using tools like OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib will be a key aspect of your role. Collaborating closely with data engineers and edge teams to deploy models on real-time streaming pipelines will also be part of your duties. Additionally, you will need to optimize inference performance for edge devices such as Jetson and T4, and manage video ingestion workflows. You will also be expected to rapidly prototype new concepts, perform A/B tests, and validate enhancements in real-world scenarios. Clear documentation of processes, effective communication of findings, and contributing to the expansion of our AI knowledge base are essential aspects of this role. To be successful in this position, you should possess a strong command of Python and have familiarity with C/C++. Experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras is required. A solid understanding of YOLO, Transformers, or OpenCV for real-time visual AI is essential. Proficiency in data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc., is also necessary. A good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques is expected. Exposure to video streaming workflows like GStreamer, FFmpeg, and RTSP will be advantageous. The ability to write clean, modular, and efficient code is crucial for this role. Experience in deploying models in production, particularly on GPU/edge devices, is highly valued. An interest in reinforcement learning, sports analytics, or real-time systems will be considered a plus. An undergraduate degree in Computer Science, Artificial Intelligence, or a related field is required, while a Master's or PhD is preferred. A strong academic background will be beneficial for this position.,