1281 Mlflow Jobs - Page 10

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You'll Do: Shape the Way the World Understands Data Are you ready to be at the forefront of a revolution? At Teradata, we're not just managing data; we're unlocking its hidden potential through the power of Artificial Intelligence and Machine Learning. As a key member of our innovative AI/ML team, you'll be architecting, building, and deploying cutting-edge software solutions that will literally transform languages within the Teradata Vantage platform – a cornerstone of our strategic vision and a powerhouse in the analytics world. Dive deep into the performance DNA of AI/ML applications. You'll be the detective, identifying and crushing bottlenecks to ensure our solutions not only scale massively but also deliver lightning-fast results. Your mission? To champion quality at every stage, tackling the unique and exhilarating challenges presented by AI/ML in the cloud. Become an integral part of a brilliant, tightly-knit team where collaboration isn't just a buzzword – it's how we create world-class, enterprise-grade software that pushes boundaries. You'll be a knowledge champion, diving into the intricacies of our domain, crafting compelling documentation, and sharing your expertise to inspire other teams. Here, you'll be a technical visionary, defining the standards and architecting the solutions that will shape our future. You'll contribute to the blueprint, refining high-level requirements and ensuring our technology not only meets needs but anticipates them. Your coding prowess in Python, Java, and Go will be instrumental in delivering high-impact software that performs flawlessly, ensures durability, optimizes cost, and strengthens security. Unleash your inner API artisan! We're looking for someone with a genuine passion for crafting incredibly simple yet powerfully functional APIs that will be the backbone of our intelligent systems. Step into an agile, dynamic environment that feels like a startup but with the backing of an industry leader. You'll thrive on rapidly evolving business needs, directly impacting our trajectory and delivering quality solutions with speed and precision. Get ready to explore uncharted territories, creatively solve complex puzzles, and directly contribute to groundbreaking advancements. Who You'll Work With: Join Forces with the Best Imagine collaborating daily with some of the brightest minds in the company – individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions. You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions. What Makes You a Qualified Candidate: Skills in Action You bring 5+ years of industry experience in the exciting world of software development and operating software systems that can handle massive scale. Your mastery of Java with the Spring Framework —amplified by expertise in AI/ML, Kubernetes, microservices architecture, and DevOps methodologies—makes you a powerhouse poised to shape the future of technology. Additional consideration will be given for proficiency in Go, Python or other object-oriented languages, as a diverse skill set enhances overall effectiveness. You possess a strong command of AI/ML algorithms, methodologies, tools, and the best practices for building robust AI/ML systems. Your foundational knowledge of data structures and algorithms is rock-solid. Proficient in end-to-end application development with a focused approach on test-first TDD methodologies and comprehensive unit testing to ensure code reliability and quality. A strong advantage: hands-on experience with AI/ML orchestration tools such as LangChain and MLflow, streamlining the training, evaluation, and deployment of AI/ML models. In-depth knowledge of observability practices, with a focus on APM tools, to proactively monitor and strengthen system resilience. Proven experience with AWS, GCP, or Azure, alongside expertise in Docker and Kubernetes, enhances our cloud-native operation. Your analytical and problem-solving skills are sharp enough to cut through any challenge. Skilled in designing complex systems that balance scalability and simplicity, ensuring both efficiency and maintainability in architecture and implementation. " You're a team player with experience in group software development and a fluent user of version control tools, especially Git. Your debugging skills are legendary – you can track down and squash bugs with finesse. You possess excellent oral and written communication skills, capable of producing clear and concise runbooks and technical documentation for both technical and non-technical audiences. Familiarity with relational database management systems (RDBMS) like PostgreSQL and MySQL is a plus. What You'll Bring: Passion and Potential A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field – your academic foundation is key. A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge! Experience with Analytics? That's a huge plus in our data-driven environment. Familiarity with RDBMS – PostgreSQL, MySQL etc. – understanding data is crucial. You thrive in ambiguity, tackling undefined problems with an abstract and innovative mindset. Experience driving product vision to deliver long-term value for our customers is highly valued. You're ready to own the entire development lifecycle – from initial requirements to deployment and ongoing support. You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions. Passion for AI/ML, especially in building smart, agent-driven interfaces that feel human. Ownership mindset — you build, deploy, iterate, and scale with a long-term view. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You'll Do: Shape the Way the World Understands Data Are you ready to be at the forefront of a revolution? At Teradata, we're not just managing data; we're unlocking its hidden potential through the power of Artificial Intelligence and Machine Learning. As a key member of our innovative AI/ML team, you'll be architecting, building, and deploying cutting-edge software solutions that will literally transform languages within the Teradata Vantage platform – a cornerstone of our strategic vision and a powerhouse in the analytics world. Dive deep into the performance DNA of AI/ML applications. You'll be the detective, identifying and crushing bottlenecks to ensure our solutions not only scale massively but also deliver lightning-fast results. Your mission? To champion quality at every stage, tackling the unique and exhilarating challenges presented by AI/ML in the cloud. Become an integral part of a brilliant, tightly-knit team where collaboration isn't just a buzzword – it's how we create world-class, enterprise-grade software that pushes boundaries. You'll be a knowledge champion, diving into the intricacies of our domain, crafting compelling documentation, and sharing your expertise to inspire other teams. Here, you'll be a technical visionary, defining the standards and architecting the solutions that will shape our future. You'll contribute to the blueprint, refining high-level requirements and ensuring our technology not only meets needs but anticipates them. Your expertise in Python, Java, Go, and MLOps will be key to delivering high-impact software solutions that perform seamlessly, ensure long-term durability, optimize costs, and uphold the highest security standards. Unleash your inner API artisan! We're looking for someone with a genuine passion for crafting incredibly simple yet powerfully functional APIs that will be the backbone of our intelligent systems. Step into an agile, dynamic environment that feels like a startup but with the backing of an industry leader. You'll thrive on rapidly evolving business needs, directly impacting our trajectory and delivering quality solutions with speed and precision. Get ready to explore uncharted territories, creatively solve complex puzzles, and directly contribute to groundbreaking advancements. Who You'll Work With: Join Forces with the Best Imagine collaborating daily with some of the brightest minds in the company – individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions. You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions. What Makes You a Qualified Candidate: Skills in Action You bring 2+ years of industry experience in the exciting world of software development and operating software systems that can handle massive scale. Your Python skills are not just proficient; they're a must-have superpower! Bonus points for knowledge in Go, Java, or other object-oriented languages – the more tools in your arsenal, the better! You possess a strong command of AI/ML algorithms, methodologies, tools, and the best practices for building robust AI/ML systems. Your foundational knowledge of data structures and algorithms is rock-solid. Proficient in end-to-end application development with a focused approach on test-first TDD methodologies and comprehensive unit testing to ensure code reliability and quality. A strong advantage: hands-on experience with AI/ML orchestration tools such as LangChain and MLflow, streamlining the training, evaluation, and deployment of AI/ML models. You have hands-on experience with data validation, rigorous model evaluation, and performance testing that ensures our machine learning models are top-tier. Knowledge of containerization and orchestration tools like Docker and Kubernetes? That's a significant plus in our cloud-native world. Your analytical and problem-solving skills are sharp enough to cut through any challenge. You're a team player with experience in group software development and a fluent user of version control tools, especially Git. Your debugging skills are legendary – you can track down and squash bugs with finesse. You possess excellent oral and written communication skills, capable of producing clear and concise runbooks and technical documentation for both technical and non-technical audiences. Familiarity with relational database management systems (RDBMS) like PostgreSQL and MySQL is a plus. What You Bring: Passion and Potential A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field – your academic foundation is key. A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge! Experience with Analytics? That's a huge plus in our data-driven environment. Familiarity with RDBMS – PostgreSQL, MySQL etc. – understanding data is crucial. You thrive in ambiguity, tackling undefined problems with an abstract and innovative mindset. Experience driving product vision to deliver long-term value for our customers is highly valued. You're ready to own the entire development lifecycle – from initial requirements to deployment and ongoing support. You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions. Passion for AI/ML, especially in building smart, agent-driven interfaces that feel human. Ownership mindset — you build, deploy, iterate, and scale with a long-term view. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Company Description Nielsen Sports is the premier provider of analytics and insights within the growing sports industry, offering the most reliable source of independent and holistic market data. We help businesses around the world effectively measure and commercialize their assets in sports. Our technology, data, and insights empower clients to make smarter decisions regarding media valuation, sponsorship, fan engagement, and more, by understanding and connecting with audiences through sports. We leverage cutting-edge image detection, machine learning, and AI to provide a comprehensive view of the sports media landscape. Job Description Role Overview: Are you passionate about leading and nurturing high-performing engineering teams to build groundbreaking AI solutions? Do you thrive on translating cutting-edge research in Computer Vision and Large Language Models into impactful, scalable products? Nielsen Sports is seeking an experienced and dynamic Engineering Manager / Senior Engineering Manager to lead our talented AI/ML engineers in Bengaluru. This role is critical to our mission of delivering innovative solutions that redefine how value is measured and understood in the global sports ecosystem. You will be responsible for guiding your team's technical direction, fostering their growth, and ensuring the successful delivery of projects that leverage sophisticated AI to analyze complex multimedia sports data. Key Responsibilities Team Leadership & Development: Lead, manage, and mentor a team of AI/ML software engineers (MTS 1-5 levels), fostering a culture of innovation, collaboration, ownership, and continuous learning. Drive recruitment, onboarding, performance management, and career development for team members. Champion engineering best practices and a positive, inclusive team environment. Technical Delivery & Execution: Oversee the planning, execution, and delivery of complex AI/ML projects, particularly in computer vision (e.g., object detection, logo recognition) and multi-modal LLM applications. Ensure projects are delivered on time, within scope, and to a high standard of quality. Work closely with product managers, researchers, and other stakeholders to define roadmaps, prioritize features, and translate business requirements into technical solutions. Technical Guidance & Strategy: Provide technical guidance and direction to the team on AI/ML model development, system architecture, MLOps, and software engineering best practices. Stay abreast of the latest advancements in AI, Computer Vision, LLMs, and relevant cloud technologies. Contribute to the broader technical strategy for AI/ML applications within Nielsen Sports. Stakeholder Management & Communication: Effectively communicate project status, risks, and technical details to both technical and non-technical stakeholders. Collaborate with cross-functional teams globally (including product, operations, and other engineering groups) to ensure alignment and successful product integration. Operational Excellence & Process Improvement: Drive improvements in team processes, development methodologies (e.g., Agile/Scrum), and operational efficiency. Ensure the scalability, reliability, and maintainability of the AI/ML systems and services developed by your team. Qualifications Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field. 5-12 years of progressive experience in software development, with a significant portion focused on AI/ML, Data Science, or Computer Vision. For Engineering Manager: At least 2-4 years of direct people management experience, leading and mentoring software engineering teams. For Senior Engineering Manager: At least 5+ years of direct people management experience, potentially including experience managing other leads or managers, and a proven track record of leading multiple or complex projects. Strong understanding of the software development lifecycle (SDLC), Agile methodologies, and CI/CD practices. Technical proficiency and familiarity with AI/ML concepts, machine learning algorithms, deep learning, and statistical modeling. Deep Expertise with computer vision techniques (e.g., object detection, image classification) and an understanding of or keen interest in Large Language Models (LLMs). Experience in finetuning LLMs like Llama 2/3, Mistral, or open-source models available on Hugging Face using libraries such as Hugging Face Transformers, PEFT, or specialized frameworks like Axolotl/Unsloth. Proficiency in programming languages commonly used in AI/ML, such as Python. Excellent leadership, interpersonal, communication, and organizational skills. Proven ability to motivate and grow technical talent. Full Stack Development expertise in any one stack Preferred Qualifications / Bonus Skills Prior hands-on experience as an AI/ML engineer or data scientist before transitioning into management. Experience managing teams working specifically on computer vision and/or LLM-based projects. Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Familiarity with cloud platforms (AWS, GCP, or Azure) and their AI/ML services. Experience in the sports analytics, media technology, or ad-tech industries. Proven track record of successfully delivering scalable, high-impact AI/ML products or features. Experience working in a global, distributed team environment. Additional Information What We Offer: An opportunity to lead and shape the future of AI in the exciting world of sports analytics. A leadership role with significant impact on Nielsen Sports' products and technology. A dynamic, innovative, and collaborative work environment. Competitive salary, performance-based bonus, and comprehensive benefits package. Opportunities for professional growth and development in a global organization. The chance to work with a passionate team on cutting-edge technologies. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

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.

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 seeking a highly skilled and analytical Data Scientist with 5+ years of experience in building and deploying advanced machine learning models and delivering actionable business insights. The ideal candidate will have a strong foundation in statistics, machine learning, and data engineering, and the ability to work with large-scale datasets to solve real-world problems. Key Responsibilities Analyze large datasets to extract meaningful insights and develop predictive and prescriptive models using machine learning algorithms. Design, develop, and validate ML models for classification, regression, clustering, and recommendation systems. Perform data wrangling, cleaning, transformation, and feature extraction to prepare datasets for modeling. Work closely with product, engineering, and business teams to understand problems and translate them into data-driven solutions. Create dashboards, reports, and data visualizations to communicate findings clearly and effectively. Deploy models into production environments and monitor performance, retraining when necessary. Stay current with the latest research in AI/ML and apply cutting-edge techniques to business use cases. Required Skills & Qualifications 5+ years of experience in data science, machine learning, or advanced analytics. Strong proficiency in Python or R, along with libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, etc. Proficiency in SQL and experience with data querying in relational and non-relational databases. Experience working with big data platforms (e.g., Spark, Hadoop) is a plus. Solid understanding of statistics, probability, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, Plotly, or Skills : Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow). Exposure to NLP, deep learning, or time series forecasting. Familiarity with Git, Docker, and CI/CD for model deployment. Prior experience in domains such as finance, retail, healthcare, or telecom is advantageous. (ref:hirist.tech)

Job Summary: We are looking for a skilled and motivated Machine Learning Engineer with 2–3 years of experience to join our data science and engineering team. In this role, you’ll help build and deploy ML models that drive insights, automation, and intelligent products for the business. You’ll work closely with data scientists, software engineers, and product teams to take ML solutions from concept to production. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications Collaborate with cross-functional teams to understand business problems and translate them into ML tasks Perform data preprocessing, feature engineering, and exploratory data analysis Train, validate, and fine-tune ML models using libraries such as Scikit-learn, TensorFlow, or PyTorch Package and deploy models via APIs or within production systems Monitor model performance and implement improvements over time Document experiments, models, and processes clearly and thoroughly Required Qualifications: 2–3 years of experience in machine learning or applied data science roles Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, Keras, or PyTorch Strong understanding of supervised and unsupervised learning algorithms Experience working with data manipulation tools like Pandas and NumPy Familiarity with SQL and working with relational or NoSQL databases Basic knowledge of version control (e.g., Git) and software development best practices Understanding of ML lifecycle and model deployment Preferred Qualifications: Experience deploying models in cloud environments (AWS, GCP, Azure) Familiarity with ML pipeline tools like MLflow, Kubeflow, or Airflow Exposure to NLP, computer vision, or time series forecasting is a plus Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field Benefits: Competitive salary and performance-based bonus Health, dental, and vision insurance Paid time off and holidays 401(k) with company match Training budget and opportunities for career growth

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.

Overview We are hiring a Junior Data Engineer (2 to 4 years) with expertise in Azure Data Bricks, Azure Data Lake, and Azure Synapse Analytics to join our high-performing team. technical proficiency in cloud-based data engineering. This role requires a strategic thinker who can bridge the gap between raw data and actionable insights, enabling data-driven decision-making for large-scale enterprise initiatives. A strong foundation in distributed computing, ETL frameworks, and advanced data modeling is crucial. The individual will work closely with data architects, analysts, and business teams to deliver scalable and efficient data solutions. Work Location: Hyderabad, Bangalore and Chennai Work Mode: Work from Office (5 days) Notice Period: Immediate to 15 days Responsibilities Key Responsibilities: Design, develop, and maintain high-performance data pipelines for structured and unstructured data using Azure Data Bricks and Apache Spark. Build and manage scalable data ingestion frameworks for batch and real-time data processing. Implement and optimize data lake architecture in Azure Data Lake to support analytics and reporting workloads. Develop and optimize data models and queries in Azure Synapse Analytics to power BI and analytics use cases. Cloud-Based Data Solutions: Architect and implement modern data lakehouses combining the best of data lakes and data warehouses. Leverage Azure services like Data Factory, Event Hub, and Blob Storage for end-to-end data workflows. Ensure security, compliance, and governance of data through Azure Role-Based Access Control (RBAC) and Data Lake ACLs. ETL/ELT Development: Develop robust ETL/ELT pipelines using Azure Data Factory, Data Bricks notebooks, and PySpark. Perform data transformations, cleansing, and validation to prepare datasets for analysis. Manage and monitor job orchestration, ensuring pipelines run efficiently and reliably. Performance Optimization: Optimize Spark jobs and SQL queries for large-scale data processing. Requirements Required Qualifications: Experience: 2+ years of experience in data engineering, big data, or cloud-based data solutions. expertise with Azure Data Bricks, Azure Data Lake, and Azure Synapse Analytics. Technical Skills: Strong hands-on experience with Apache Spark and distributed data processing frameworks. Advanced proficiency in Python and SQL for data manipulation and pipeline development. Deep understanding of data modeling for OLAP, OLTP, and dimensional data models. Experience with ETL/ELT tools like Azure Data Factory or Informatica. Familiarity with Azure DevOps for CI/CD pipelines and version control. Big Data Ecosystem: Familiarity with Delta Lake for managing big data in Azure. Experience with streaming data frameworks like Kafka, Event Hub, or Spark Streaming. Cloud Expertise: Strong understanding of Azure cloud architecture, including storage, compute, and networking. Knowledge of Azure security best practices, such as encryption and key management. Preferred Skills (Nice to Have): Experience with machine learning pipelines and frameworks like MLFlow or Azure Machine Learning. Knowledge of data visualization tools such as Power BI for creating dashboards and reports. Familiarity with Terraform or ARM templates for infrastructure as code (IaC). Exposure to NoSQL databases like Cosmos DB or MongoDB. Experience with data governance tools like Azure Purview.

We are part of Web Experiences and Services Team (WEST) within the Office Online Product Group, focused on building AI Ops solutions for Online Microsoft Word, Excel, PowerPoint, OneNote, and their shared services. Our mission is to leverage AI and ML to enhance live site management, automate incident resolution, accelerate root cause analysis and prevent incidents proactively. We are focussing on anomaly detection, predictive analytics, and error log analysis to enable more scalable and generalized solutions, driving reliability and efficiency across Office Online applications. We are looking for a Senior Applied Scientist who is passionate about applying AI and ML to incident management and site reliability. You will work as part of a multidisciplinary team, collaborating with engineers, data scientists, and domain experts to develop state-of-the-art solutions that will transform how Office Online handles site reliability and incident prevention. At Microsoft, we are committed to diversity, inclusion, and innovation, ensuring that we build great workplaces and great products. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Collaborate with engineers, product teams, and partners to drive innovation in AI-powered site reliability. Develop and implement AI-driven scalable solutions for incident management and prevention, incident root cause analysis across Office Online applications. Build AI\ML powered solutions like anomaly detection, predictive analytics, and error log analysis etc. for faster mitigation and prevention of incidents. Ensure end-to-end integration of ML\AI powered solutions in production, including deployment, monitoring, and refinement, leveraging cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks) and MLOps tools (MLflow, Tecton, Pinecone, Feature Stores) Prototype new approaches in ML\AI, SLM, AI Agents, Agentic workflows etc. to design, run, and analyze experiments for incident detection, mitigation and resolution. Fundamentals: champion and set example in customer obsession, data security, performance, observability and reliability. Optimize AI pipelines, automate responses to incidents, and create a feedback loop for continuous improvement. Stay ahead of emerging trends in AI/ML. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Excellent coding and debugging skills with deep understanding of ML\AI algorithms and data science problems. Experience with ML techniques such as deep learning, predictive modelling, time series data analysis Excellent communication skills, including the ability to translate complex AI concepts into actionable insights for product teams Preferred Qualifications Passion for new technologies, learning and adapting quickly, end user quality and customer satisfaction. Understanding of AI-driven operations, site reliability engineering (SRE), and production ML systems. Expertise in AI Ops, anomaly detection, error log analysis and incident management solutions. Awareness and understanding of emerging research and technologies related to live site and incident management like Agentic workflows for site reliability management. Effective verbal, visual and written communication skills. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Position Overview: ShyftLabs is seeking an experienced Databricks Architect to lead the design, development, and optimization of big data solutions using the Databricks Unified Analytics Platform. This role requires deep expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP). The ideal candidate will collaborate with cross-functional teams to architect scalable, high-performance data platforms and drive data-driven innovation. ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to accelerate business growth across various industries by focusing on creating value through innovation. Job Responsibilities Architect, design, and optimize big data and AI/ML solutions on the Databricks platform. Develop and implement highly scalable ETL pipelines for processing large datasets. Lead the adoption of Apache Spark for distributed data processing and real-time analytics. Define and enforce data governance, security policies, and compliance standards. Optimize data lakehouse architectures for performance, scalability, and cost-efficiency. Collaborate with data scientists, analysts, and engineers to enable AI/ML-driven insights. Oversee and troubleshoot Databricks clusters, jobs, and performance bottlenecks. Automate data workflows using CI/CD pipelines and infrastructure-as-code practices. Ensure data integrity, quality, and reliability across all data processes. Basic Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. 10+ years of hands-on experience in data engineering, with at least 5+ years in Databricks Architect and Apache Spark. Proficiency in SQL, Python, or Scala for data processing and analytics. Extensive experience with cloud platforms (AWS, Azure, or GCP) for data engineering. Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture. Hands-on experience with CI/CD tools and DevOps best practices. Familiarity with data security, compliance, and governance best practices. Strong problem-solving and analytical skills in a fast-paced environment. Preferred Qualifications: Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer). Hands-on experience with MLflow, Feature Store, or Databricks SQL. Exposure to Kubernetes, Docker, and Terraform. Experience with streaming data architectures (Kafka, Kinesis, etc.). Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker). Prior experience working with retail, e-commerce, or ad-tech data platforms. We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

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.

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.

The ML Engineer will be responsible for the design, development, training, and deployment of machine learning models. This role ensures that AI capabilities are production-grade, robust, and well-integrated with the company’s software stack. What You’ll Be Doing Design, build, and train machine learning models using production-grade frameworks Translate AI product requirements into scalable model architectures Package models as APIs/microservices for product integration Build CI/CD pipelines for automated model training and release Evaluate model performance and handle versioning What We’d Love To See Languages: Python, SQL Frameworks: PyTorch, TensorFlow, Hugging Face Transformers 3–6 years of hands-on experience in applied machine learning and deploying models into production. It’d Be Great If You Had Tools: MLflow, Docker, FastAPI, GitHub Actions Deployment platforms: GCP Vertex AI, AWS SageMaker

CSQ326R37 Mission The Machine Learning (ML) Practice team is a highly specialized, collaborative customer-facing ML team at Databricks. We deliver professional services engagements to help our customers build, scale, and productionize the most cutting-edge ML and GenAI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We are investing heavily in continuing to grow our global team, and looking for a world-class Manager to lead our ML Practice in India. You will report directly to our Global Delivery Center (GDC) Leader and dotted line to our ML Professional Services Global Leader. This role can be remote, with a preference for candidates located in Bangalore. The Impact You Will Have Manage hiring, onboarding, and growing the ML Practice team in India, roughly doubling the team size by the end of the year. Develop relationships with key customers and partners, scope customer engagements, and manage escalations Align with Professional Services and Sales leaders both in the Global Delivery Center and globally Collaborate cross-functionally with the R&D team to define priorities and influence the product roadmap Lead strategic PS initiatives, practice development, and processes Own OKRs for revenue and utilization, with a focus on driving Databricks consumption Lead Databricks cultural values by example and champion Databricks brand What We Look For 3+ years experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes Deep hands-on technical understanding of data science, ML, GenAI and the latest trends While managers do not deliver customer engagements directly, we expect that individuals are able to get hands-on in the Databricks product to demo to customers, dogfood product features to provide input to R&D, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Passion for collaboration, life-long learning, and driving business value through ML Company first focus and collaborative individuals - we work better when we work together Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience [Preferred] Experience working with Databricks and Apache Spark [Preferred] Experience working in a customer-facing role About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ326R28 The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. This role can be remote. The Impact You Will Have Develop LLM solutions on customer data, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Help customers solve tough problems across industries like Health and Life Sciences, Finance, Retail, Startups, and many others Build, scale, and optimize customer data science workloads across industries and apply best-in-class MLOps to productionize these workloads Advise data teams on data science architecture, tooling, and best practices Provide thought leadership by presenting at conferences such as Data+AI Summit and mentoring the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What We Look For Experience in building Generative AI applications, including RAG, agents, Text2SQL, fine-tuning, and deploying LLMs, using tools such as HuggingFace, Langchain, and OpenAI 4 to 8 years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, MLflow, scikit-learn, and PyTorch Experience in building production-grade ML or GenAI deployments on AWS, Azure, or GCP. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience in communicating and teaching technical concepts to both non-technical and technical audiences Passion for collaboration, life-long learning, and driving business value through ML [Preferred] Experience working with Databricks and Apache Spark™ About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Hiring: Senior Data Scientist | Machine Learning Engineer (MLE) Location : Mohali / Pune Experience : 4+ Years Salary : ₹25 LPA – ₹30 LPA Apply at : info@fitb.in Required Skill Sets Expertise in ML/DL , model lifecycle management, and MLOps tools (MLflow, Kubeflow) Proficiency in Python , TensorFlow , PyTorch , Scikit-learn , and Hugging Face Strong background in NLP , including fine-tuning transformer models Hands-on experience with AWS , GCP , or Azure , and deployment tools like SageMaker , Vertex AI Knowledge of Docker , Kubernetes , and CI/CD pipelines Familiarity with distributed computing (Spark, Ray) and vector databases (FAISS, Milvus) Experience with model optimization (quantization, pruning), hyperparameter tuning , and drift detection Roles & Responsibilities Build and maintain end-to-end ML pipelines from data ingestion to deployment Develop, fine-tune, and scale ML models for real-world applications Evaluate models using metrics like F1-score , AUC-ROC , BLEU , etc. Automate retraining, monitoring , and drift detection processes Collaborate with cross-functional teams for seamless ML integration Mentor junior team members and enforce best practices Perks & Benefits Food allowance provided Cab facility available Night shift allowance (NCA) Graduates only may apply 5-day working If you meet the above criteria and are passionate about building impactful ML systems, send your resume to info@fitb.in Job Types: Full-time, Permanent, Fresher Pay: ₹2,500,000.00 - ₹3,000,000.00 per year Benefits: Flexible schedule Food provided Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Fixed shift Monday to Friday Night shift Rotational shift US shift Supplemental Pay: Performance bonus Shift allowance Yearly bonus Work Location: In person

AI/ML Developer – Retail & F&B AI Solutions Location: Chennai, Tamil Nadu About Us Uth Software and Software Recharge is a rapidly evolving tech company developing cutting-edge AI-powered solutions , modern ERP systems , and billing software tailored for the Retail and Food & Beverage (F&B) sectors. Our mission is to empower businesses through automation, data intelligence, and smart decision-making using Artificial Intelligence and Machine Learning. We are now expanding our AI/ML team and looking for talented developers to contribute to the next generation of business automation tools. Job Description We are seeking AI/ML Developers (6 months to 2 years of experience) who are passionate about building intelligent systems that solve real business challenges. You will work with our product and engineering teams to design, develop, and deploy AI/ML models and solutions integrated into our business software, including image and video-based AI applications . Key Responsibilities Develop and implement machine learning models for forecasting, customer behavior analysis, inventory optimization, etc. Work on image recognition , object detection , and video analytics using real-world datasets Handle data preprocessing , feature engineering, model training, validation, and performance tuning Collaborate with software developers to integrate ML and computer vision solutions into existing applications Assist in building AI-powered modules like chatbots, recommendation engines, predictive dashboards , and video-based intelligence tools Stay up-to-date with the latest AI/ML trends, technologies, and best practices Document your code, models, and logic for internal teams Requirements 6 months to 2 years of hands-on experience in AI/ML development Strong proficiency in Python and libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch , etc. Working knowledge of computer vision libraries like OpenCV, YOLO (You Only Look Once) or MediaPipe is a plus Good understanding of object detection , image classification , and frame-by-frame video analysis Good understanding of machine learning algorithms , model evaluation metrics , and data wrangling Experience with real-time or batch data processing and model deployment is a plus Familiarity with SQL, APIs , and version control (Git) Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field Strong problem-solving mindset and ability to work independently or in small teams Preferred Skills (Good to Have) Experience with LLMs , Generative AI , or NLP Exposure to video processing , gesture recognition , or frame-by-frame analysis Experience with MLOps tools (MLflow, Docker, etc.) Knowledge of business domains like retail, restaurant, or ERP systems What We Offer Competitive monthly salary based on experience (₹25,000 to ₹45,000/month) Opportunity to work on real-world AI use cases in retail and F&B Access to modern tools, datasets, and resources to support R&D Clear career growth path with promotion and upskilling opportunities Certificate of Experience How to Apply Send your updated resume to asokraaja@uthsoftware.com with the subject line: “_ Application – AI/ML Developer (6M–2Y) _” . For more information, call us at: +91-8428981111 Shortlisted candidates will be contacted for a direct interview. Join us and build the future of intelligent business software powered by AI. Job Type: Full-time Pay: ₹25,000.00 - ₹45,000.00 per month Schedule: Day shift Work Location: In person

Your Role The ML Engineer will be responsible for the design, development, training, and deployment of machine learning models. This role ensures that AI capabilities are production-grade, robust, and well-integrated with the company’s software stack. What You’ll Be Doing Design, build, and train machine learning models using production-grade frameworks Translate AI product requirements into scalable model architectures Package models as APIs/microservices for product integration Build CI/CD pipelines for automated model training and release Evaluate model performance and handle versioning What We’d Love To See Languages: Python, SQL Frameworks: PyTorch, TensorFlow, Hugging Face Transformers 3–6 years of hands-on experience in applied machine learning and deploying models into production It’d Be Great If You Had Tools: MLflow, Docker, FastAPI, GitHub Actions Deployment platforms: GCP Vertex AI, AWS SageMaker What You Can Expect Opportunity to work with a diverse and well-experienced team. To be part of the team who creates phenomenal growth stories for worlds renowned brands. Professional Growth Roadmap. Real-time mentorship and guidance from the leaders. A workplace that invests in your career, cares for you and is fun & engaging. You can be yourself and do amazing work. Benefits Interested in joining our team of artists, geeks, strategizers, and writers? If you’re a passionate, talented individual, we want to hear from you. Competitive salary Flexible work-life balance with a 5-day working Policy Paid time off Learning & Development bonus Health coverage Rewards & Recognitions Event & Festivals celebrations Ongoing training programs Onsite opportunities Recognition opportunities for open-source contributions

📍 Location: India / Remote (WFH) 🕒 Schedule: Mon–Fri, 10 AM–6 PM 📅 Type: Full-Time 💼 Experience: 3–5 Years About the Role We’re hiring a Senior AI/ML Engineer to lead the design, development, and deployment of scalable AI solutions—including Generative AI, LLMs, and sustainability-driven ML systems . This is a high-impact, hands-on role where you’ll collaborate cross-functionally, own the end-to-end ML lifecycle, and build products that deliver real-world business value across industries like FinTech, HealthTech, and more. Company Description SynerPeak HR Consultants specializes in connecting exceptional talent with forward-thinking companies. They help organizations scale by delivering top-tier professionals who align with their culture, values, and goals. With expertise in various industries, SynerPeak offers end-to-end recruitment solutions, executive search, talent mapping, employer branding consultation, and contract-based hiring. What You'll Bring Strong command of Python, SQL , and ML frameworks: scikit-learn, TensorFlow, PyTorch Experience with ML pipelines (Airflow, MLflow, Kubeflow) and cloud platforms (AWS/GCP/Azure) Skilled in model deployment , MLOps , containerization (Docker, Kubernetes), CI/CD Familiar with deep learning , LLMs , RAG , and Agentic AI frameworks (LangChain, OpenAI API) Key Responsibilities ML & GenAI Engineering Build and deploy models for NLP, recommendation, classification, etc. Fine-tune LLMs and implement RAG-based multi-agent GenAI systems Manage full ML lifecycle: deployment, monitoring, optimisation, drift detection Handle data preprocessing, feature engineering, and model evaluation Work with cross-functional teams and contribute to product decisions Convert business goals into AI-driven technical solutions Stay ahead in AI/ML research and rapidly apply new techniques You’re a Great Fit If You... Take initiative and own your decisions Know when not to use GenAI Can clearly explain trade-offs to engineers & business stakeholders Why Join Us? Flexibility & Time Off Flexible hours Paid leave (sick, personal, bereavement) Fully paid insurance 6 months maternity & 3 months paternity leave Extras Team events (virtual + in-person) Equity options & competitive salary What You'll Work On 50% : Building robust, production-grade AI systems 25% : Prototyping and researching innovative ML/GenAI ideas 25% : Collaborating with stakeholders to solve real-world business challenges Ready to lead real-world AI innovation? Apply now and be part of something transformative. Please send your updated Resume and cover letter to hr@synerpeak.com

Senior Applied Scientist Noida, Uttar Pradesh, India Date posted Jul 03, 2025 Job number 1833716 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview We are part of Web Experiences and Services Team (WEST) within the Office Online Product Group, focused on building AI Ops solutions for Online Microsoft Word, Excel, PowerPoint, OneNote, and their shared services. Our mission is to leverage AI and ML to enhance live site management, automate incident resolution, accelerate root cause analysis and prevent incidents proactively. We are focussing on anomaly detection, predictive analytics, and error log analysis to enable more scalable and generalized solutions, driving reliability and efficiency across Office Online applications. We are looking for a Senior Applied Scientist who is passionate about applying AI and ML to incident management and site reliability. You will work as part of a multidisciplinary team, collaborating with engineers, data scientists, and domain experts to develop state-of-the-art solutions that will transform how Office Online handles site reliability and incident prevention. At Microsoft, we are committed to diversity, inclusion, and innovation, ensuring that we build great workplaces and great products. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Excellent coding and debugging skills with deep understanding of ML\AI algorithms and data science problems. Experience with ML techniques such as deep learning, predictive modelling, time series data analysis Excellent communication skills, including the ability to translate complex AI concepts into actionable insights for product teams Preferred Qualifications: Passion for new technologies, learning and adapting quickly, end user quality and customer satisfaction. Understanding of AI-driven operations, site reliability engineering (SRE), and production ML systems. Expertise in AI Ops, anomaly detection, error log analysis and incident management solutions. Awareness and understanding of emerging research and technologies related to live site and incident management like Agentic workflows for site reliability management. Effective verbal, visual and written communication skills. Responsibilities Collaborate with engineers, product teams, and partners to drive innovation in AI-powered site reliability. Develop and implement AI-driven scalable solutions for incident management and prevention, incident root cause analysis across Office Online applications. Build AI\ML powered solutions like anomaly detection, predictive analytics, and error log analysis etc. for faster mitigation and prevention of incidents. Ensure end-to-end integration of ML\AI powered solutions in production, including deployment, monitoring, and refinement, leveraging cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks) and MLOps tools (MLflow, Tecton, Pinecone, Feature Stores) Prototype new approaches in ML\AI, SLM, AI Agents, Agentic workflows etc. to design, run, and analyze experiments for incident detection, mitigation and resolution. Fundamentals: champion and set example in customer obsession, data security, performance, observability and reliability. Optimize AI pipelines, automate responses to incidents, and create a feedback loop for continuous improvement. Stay ahead of emerging trends in AI/ML. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Senior Executive EXL/SE/1407664 Digital SolutionsNoida Posted On 30 Jun 2025 End Date 14 Aug 2025 Required Experience 0 - 2 Years Basic Section Number Of Positions 2 Band A2 Band Name Senior Executive Cost Code D012603 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 150000.0000 - 1000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Digital Solutions Organization Digital Solutions LOB Digital Solutions SBU SmartAudit.AI & Data Loops Country India City Noida Center Noida - Centre 59 Skills Skill SQL STAKEHOLDER MANAGEMENT Minimum Qualification B.TECH/B.E Certification No data available Job Description Job Title: AI Operations Engineer – GenAI & Traditional Models Location: NCR/Bangalore Experience Level: 1–2 years (Entry to Intermediate) About the Role: We are seeking a hands-on, curious, and impact-driven AI Operations Engineer to join our Run & Maintain team for supporting production-grade Generative AI and Traditional ML models. This role is perfect for early-career Data Scientists or ML Engineers eager to step into the dynamic world of GenAI while deepening their skills in AI model lifecycle management, monitoring, and improvement. You’ll be on the frontlines—keeping AI systems healthy, reliable, and continually improving. Key Responsibilities: Monitor and maintain health of production AI models (GenAI and traditional ML). Troubleshoot data/model/infra issues across model pipelines, APIs, embeddings, and prompt systems. Collaborate with Engineering and Data Science teams to deploy new versions and manage rollback if needed. Implement automated logging, alerting, and retraining pipelines. Handle prompt performance drift, input/output anomalies, latency issues, and quality regressions. Analyze feedback and real-world performance to propose model or prompt enhancements. Conduct A/B testing, manage baseline versioning and monitor model outputs over time. Document runbooks, RCA reports, model lineage and operational dashboards. Support GenAI adoption by assisting in evaluations, hallucination detection, and prompt optimization. Must-have Skills: 1+ year of experience in Data Science, ML, or MLOps. Good grasp of ML lifecycle, model versioning, and basic monitoring principles. Strong Python skills with exposure to ML frameworks (scikit-learn, pandas, etc.). Basic familiarity with LLMs and interest in GenAI (OpenAI, Claude, etc.). Exposure to AWS/GCP/Azure or any MLOps tooling. Comfortable reading logs, parsing metrics, and triaging issues across the stack. Eagerness to work in a production support environment with proactive ownership. Nice-to-Have Skills: Prompt engineering knowledge (system prompts, temperature, tokens, etc.). Hands-on with vector stores, embedding models, or LangChain/LlamaIndex. Experience with tools like MLflow, Prometheus, Grafana, Datadog, or equivalent. Basic understanding of retrieval pipelines or RAG architectures. Familiarity with CI/CD and containerization (Docker, GitHub Actions). Ideal Candidate Profile: A strong starter who wants to go beyond notebooks and see AI in action. Obsessed with observability, explainability, and zero-downtime AI. Wants to build a foundation in GenAI while leveraging their traditional ML skills. A great communicator who enjoys cross-functional collaboration. Workflow Workflow Type Digital Solution Center

Position: Sr. and Mid. Python Developer – AI/ML Experience : 5+ years in Python, 3+ years in AI/ML Location: Sector V ,Salt lake , Kolkata Joining Timeline: Immediate to 30 Days Key Responsibilities: Design and deploy machine learning models using Python Develop AI-powered features and APIs with frameworks like FastAPI/Flask Conduct EDA, feature engineering, and model optimization Handle data pipelines, model deployment, and monitoring Collaborate with product and engineering teams to deliver scalable solutions Core Skillset: Python (Expert) : OOP, APIs, async programming AI/ML : Scikit-learn, XGBoost, NLP, Computer Vision Deep Learning : PyTorch, TensorFlow, Keras Data Engineering : Pandas, SQL/NoSQL, ETL pipelines DevOps/MLOps : Docker, Kubernetes, MLFlow, CI/CD Bonus : Hands-on with Zapier , Make.com , or other automation platforms Interested Candidate can apply at hr18@webskitters.com / 7908290216 (Only WhatsApp)

Senior Data and Applied Scientist - Advertising Join Pattern's innovative Data Science team as a Senior Data and Applied Scientist, where you'll leverage your expertise to optimize advertising spend on ecommerce platforms. Pattern is a leading ecommerce company that helps brands grow their business on platforms like Amazon. What Youll Do : Design, build, and maintain machine learning and statistical models to optimize advertising campaigns, enhancing search visibility and conversion rates on ecommerce platforms. Continuously improve the quality of our machine learning models, focusing on key metrics like search ranking, keyword bidding, CTR, and conversion rate estimation. Conduct research to integrate new data sources, innovate in feature engineering, fine-tune algorithms, and enhance data pipelines for robust model performance. Analyze large datasets to extract actionable insights that guide advertising decisions. Collaborate closely with teams across different regions (US and India) to ensure seamless collaboration and knowledge sharing. Dedicate 20% of your time to MLOps for efficient, reliable model deployment and operations. What Were Looking For: Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or a related field. 3-6 years of industry experience in building and deploying machine learning solutions. Strong data manipulation and programming skills in Python and SQL, with hands-on experience using libraries such as Pandas, Numpy, Scikit-Learn, and XGBoost. Strong problem-solving skills and the ability to analyze complex data. In-depth expertise in a range of machine learning and statistical techniques, such as linear and tree-based models, along with an understanding of model evaluation metrics. Experience with Git, AWS, Docker, and MLFlow is advantageous. Additional Pluses: Portfolio: An active Kaggle or GitHub profile showcasing relevant projects. Domain Knowledge: Familiarity with advertising and ecommerce concepts, which would help in tailoring models to business needs. Explore more about Pattern and our innovative approach to ecommerce here.