8841 Pytorch Jobs - Page 13

You are an experienced Software Engineer specializing in Machine Learning with at least 2+ years of relevant experience. In this role, you will be responsible for designing, developing, and optimizing machine learning solutions and data systems. Your proven track record in implementing ML models, building scalable systems, and collaborating with cross-functional teams will be essential in solving complex challenges using data-driven approaches. As a Software Engineer - Machine Learning, your primary responsibilities will include designing and implementing end-to-end machine learning solutions, building and optimizing scalable data pipelines, collaborating with data scientists and product teams, monitoring and optimizing deployed models, staying updated with the latest trends in machine learning, debugging complex issues related to ML systems, and documenting processes for knowledge sharing and clarity. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related fields. Your technical skills should include a strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn, experience with data processing tools like Pandas, NumPy, and Spark, proficiency in SQL and database systems, hands-on experience with cloud platforms (AWS, GCP, Azure), familiarity with CI/CD pipelines and Git, and experience with model deployment frameworks like Flask, FastAPI, or Docker. Additionally, you should possess strong analytical skills, leadership abilities to guide junior team members, and a proactive approach to learning and collaboration. Preferred qualifications include experience with MLOps tools like MLflow, Kubeflow, or SageMaker, knowledge of big data technologies such as Hadoop, Spark, or Kafka, familiarity with advanced ML techniques like NLP, computer vision, or reinforcement learning, and experience in designing and managing streaming data workflows. Key Performance Indicators for this role include successfully delivering optimized and scalable ML solutions within deadlines, maintaining high model performance in production environments, and ensuring seamless integration of ML models with business applications. Join us in this exciting opportunity to drive innovation and make a significant impact in the field of Machine Learning.,

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge. Job Description Core Responsibilities About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers, and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to support dynamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and exploration of emerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 3+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice To Have Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts Certifications in cloud architecture, ML engineering, or data science specialization Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years

As an Artificial Intelligence (AI) Developer in our team, you will have the exciting opportunity to blend cutting-edge AI techniques with scalable web application architectures to design and build intelligent systems. Working closely with cross-functional teams, including data scientists, software engineers, and product managers, you will develop end-to-end solutions that enhance business operations and deliver exceptional user experiences. Your responsibilities will include full-stack development, where you will architect, design, and develop both frontend and backend components of AI-driven web applications. You will build responsive and user-friendly interfaces using modern JavaScript frameworks such as React, Angular, or Vue.js, along with robust backend services using technologies like Node.js, Django, or .NET. Furthermore, you will be responsible for developing and integrating secure RESTful and GraphQL APIs to connect AI models with cloud services and third-party systems. Leveraging cloud platforms like AWS, Azure, or GCP, you will deploy and manage scalable applications and services effectively. Collaborating with data scientists, you will integrate machine learning models, natural language processing, computer vision, and other AI techniques into web applications. You will optimize AI workflows by ensuring seamless data exchange and efficient model inference across the technology stack. In terms of DevOps and deployment, you will implement CI/CD pipelines, containerization using tools like Docker and Kubernetes, and automated testing to ensure efficient and reliable releases. Monitoring application performance and troubleshooting issues in real-time will be essential to maintain high-quality production environments. Your role will also involve close collaboration with cross-functional teams to gather requirements, deliver project updates, and ensure solutions align with business needs. Documenting development processes, API specifications, and integration practices will be crucial to support future enhancements and maintenance. To excel in this role, you must have a degree in Computer Science, Data Science, Engineering, or a related field. Additionally, you should possess a minimum of 5 years of experience with full-stack development and at least 2 years of experience with AI development. Hands-on experience in programming languages like Python, JavaScript (or TypeScript), and/or C#, along with expertise in front-end and backend frameworks, cloud platforms, containerization, and data management, will be essential. If you are detail-oriented, possess strong problem-solving, analytical, and communication skills, and have a passion for continuous learning and innovation, this role is perfect for you. Join us at the intersection of AI and full-stack web development to create robust, intelligent systems that scale in the cloud while delivering intuitive and responsive user experiences.,

The Data Chapter at our organization serves as a strategic partner, utilizing state-of-the-art AI and ML technologies to drive data-led initiatives that enhance risk management, boost revenue generation, and enhance operational efficiency. We are committed to maintaining data integrity and governance while delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout DBS. Through our collaborative approach, we provide timely and actionable solutions that align with the organization's strategic goals. As a member of our team, your responsibilities will include designing, developing, and implementing advanced AI/ML models to uncover actionable insights, automate processes, and facilitate strategic decision-making across various business units. You will work closely with a team to create the end-to-end lifecycle of AI initiatives, starting from problem identification and data engineering to model development, validation, deployment, and monitoring. Collaboration with cross-functional teams, including product, engineering, and business stakeholders, will be essential to identify impactful AI opportunities and deliver innovative solutions. In this role, you will be expected to explore cutting-edge techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to address complex challenges and drive value creation. Conducting risk modeling, scenario analysis, and evaluating business impacts will be crucial to ensure that AI solutions are robust, ethical, and aligned with organizational objectives. Additionally, you will contribute to the development of best practices, toolkits, and scalable AI pipelines while staying abreast of emerging trends and research in AI and machine learning to assess their potential application within the organization. To be successful in this role, you should possess 6-8 years of hands-on experience in data science, machine learning, or AI, with a proven track record of deploying models in production environments. Proficiency in Python and common ML/AI libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, etc., is essential. A solid understanding of data architecture, model deployment (MLOps), and experience with cloud platforms like AWS, Azure, and GCP is required. Demonstrated expertise in generative AI technologies, statistical analysis, feature engineering, and advanced machine learning techniques is highly valued. We are seeking individuals with excellent problem-solving skills, analytical thinking, and business acumen. Strong written and verbal communication abilities are essential, as you will be expected to influence and collaborate with senior stakeholders. A Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field is highly preferred. If you are passionate about AI and machine learning and are looking for a challenging yet rewarding opportunity, we encourage you to apply now. We offer a competitive salary and benefits package, along with the professional advantages of a dynamic environment that fosters your growth and recognizes your accomplishments.,

Sr/Lead ML Engineer Placement type (FTE/C/CTH): C/CTH Duration : 6 month with extension Location: Phoenix AZ, must be onsite 5 days a week Start Date: 2 weeks from the offer Interview Process One and done Reason for position Integration ML to the Observability Grafana platform Team Overview Onshore and offshore Project Description AI/ML for Observability (AIOps) Developed machine learning and deep learning solutions for observability data to enhance IT operations. Implemented time series forecasting, anomaly detection, and event correlation models. Integrated LLMs using prompt engineering, fine-tuning, and RAG for incident summarization. Built MCP client-server architecture for seamless integration with the Grafana ecosystem. Duties/Day to Day Overview Machine Learning & Model Development Design and develop ML/DL models for: Time series forecasting (e.g., system load, CPU/memory usage) Anomaly detection in logs, metrics, or traces Event classification and correlation to reduce alert noise Select, train, and tune models using frameworks like TensorFlow, PyTorch, or scikit-learn Evaluate model performance using metrics like precision, recall, F1-score, and AUC ML Pipeline Engineering Build scalable data pipelines for training and inference (batch or streaming) Preprocess large observability datasets from tools like Prometheus, Kafka, or BigQuery Deploy models using cloud-native services (e.g., GCP Vertex AI, Azure ML, Docker/Kubernetes) Maintain retraining pipelines and monitor for model drift LLM Integration for Observability Intelligence Implement LLM-based workflows for summarizing incidents or logs Develop and refine prompts for GPT, LLaMA, or other large language models Integrate Retrieval-Augmented Generation (RAG) with vector databases (e.g., FAISS, Pinecone) Control latency, hallucinations, and cost in production LLM pipelines Grafana & MCP Ecosystem Integration Build or extend MCP client/server components for Grafana Surface ML model outputs (e.g., anomaly scores, predictions) in observability dashboards Collaborate with observability engineers to integrate ML insights into existing monitoring tools Collaboration & Agile Delivery Participate in daily stand-ups, sprint planning, and retrospectives Collaborate with: Data engineers on pipeline performance and data ingestion Frontend developers for real-time data visualizations SRE and DevOps teams for alert tuning and feedback loop integration Translate model outputs into actionable insights for platform teams Testing, Documentation & Version Control Write unit, integration, and regression tests for ML code and pipelines Maintain documentation on models, data sources, assumptions, and APIs Use Git, CI/CD pipelines, and model versioning tools (e.g., MLflow, DVC) Top Requirements (Must haves) AI ML Engineer Skills Design and develop machine learning algorithms and deep learning applications and systems for Observability data (AIOps) Hands on experience in Time series forecasting/prediction, anomaly detection ML algorithms Hands on experience in event classification and correlation ML algorithms Hands on experience on integrating with LLMs with prompt/fine-tuning/rag for effective summarization Working knowledge on implementing MCP client and server for Grafana Eco-system or similar exposure Key Skills: Programming languages: Python, R ML Frameworks: TensorFlow, PyTorch, scikit-learn Cloud platforms: Google Cloud, Azure Front-End Frameworks/Libraries: Experience with frameworks like React, Angular, or Vue.js, and libraries like jQuery. Design Tools: Proficiency in design software like Figma, Adobe XD, or Sketch. Databases: Knowledge of database technologies like MySQL, MongoDB, or PostgreSQL. Server-Side Languages: Familiarity with server-side languages like Python, Node.js, or Java. Version Control: Experience with Git and other version control systems. Testing: Knowledge of testing frameworks and methodologies. Agile Development: Experience with agile development methodologies. Communication and Collaboration: Strong communication and collaboration skills. Experience: Lead – 10 to 12 Years (Onshore and Offshore). Developers - 6 to 8 Years for Engineers

Join Tecnomi's Innovation Team in Indore as an AI/ML Python Developer! In this full-time, onsite role, you will be involved in cutting-edge machine learning projects that require expertise in TensorFlow, PyTorch, and more. Your responsibilities will include designing and implementing machine learning models, developing data processing pipelines, performing feature engineering, and deploying ML models in production environments. Collaboration with cross-functional teams in an agile setting is a key aspect of this position. The ideal candidate will have 3-5 years of Python development experience and a strong background in ML libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy. Experience with time-series analysis, neural networks, cloud platforms (preferably AWS), and containerization is also required. A Bachelor's or Master's degree in Computer Science, Data Science, or a related field is preferred. Additionally, knowledge in NLP, reinforcement learning, and MLOps (including MLflow and model versioning) is considered a plus. If you are passionate about AI/ML development and eager to contribute to innovative R&D initiatives involving real-time data processing and advanced AI model development, we encourage you to apply for this exciting opportunity at Tecnomi.,

As a Senior Machine Learning Engineer with over 10 years of experience, you will play a crucial role in designing, building, and deploying scalable machine learning systems in production. In this role, you will collaborate closely with data scientists to operationalize models, take ownership of ML pipelines from end to end, and enhance the reliability, automation, and performance of our ML infrastructure. Your primary responsibilities will include designing and constructing robust ML pipelines and services for training, validation, and model deployment. You will work in collaboration with various stakeholders such as data scientists, solution architects, and DevOps engineers to ensure alignment with project goals and requirements. Additionally, you will be responsible for ensuring cloud integration compatibility with AWS and Azure, building reusable infrastructure components following best practices in DevOps and MLOps, and adhering to security standards and regulatory compliance. To excel in this role, you should possess strong programming skills in Python, have deep experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, and be proficient in MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience in deploying models using Docker and Kubernetes, familiarity with cloud platforms and ML services, and proficiency in data engineering tools are essential for success in this position. Additionally, knowledge of CI/CD, version control, and infrastructure as code along with experience in monitoring/logging tools will be advantageous. Good-to-have skills include experience with feature stores and experiment tracking platforms, knowledge of edge/embedded ML, model quantization, and optimization, as well as familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases and experience in leading cross-functional initiatives or mentoring junior engineers will also be beneficial. Joining Ericsson will provide you with an exceptional opportunity to leverage your skills and creativity to address some of the world's toughest challenges. You will be part of a diverse team of innovators who are committed to pushing the boundaries of innovation and crafting groundbreaking solutions. As a member of this team, you will be challenged to think beyond conventional limits and contribute to shaping the future of technology.,

Sykatiya Technology Pvt Ltd is a leading Semiconductor Industry innovator committed to leveraging cutting-edge technology to solve complex problems. We are currently looking for a highly skilled and motivated Data Scientist to join our dynamic team and contribute to our mission of driving innovation through data-driven insights. As the Lead Data Scientist and Machine Learning Engineer at Sykatiya Technology Pvt Ltd, you will play a crucial role in analyzing large datasets to uncover patterns, develop predictive models, and implement AI/ML solutions. Your responsibilities will include working on projects involving neural networks, deep learning, data mining, and natural language processing (NLP) to drive business value and enhance our products and services. Key Responsibilities: - Lead the design and implementation of machine learning models and algorithms to address complex business problems. - Utilize deep learning techniques to enhance neural network models and enhance prediction accuracy. - Conduct data mining and analysis to extract actionable insights from both structured and unstructured data. - Apply natural language processing (NLP) techniques for advanced text analytics. - Develop and maintain end-to-end data pipelines, ensuring data integrity and reliability. - Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. - Mentor and guide junior data scientists and engineers in best practices and advanced techniques. - Stay updated with the latest advancements in AI/ML, neural networks, deep learning, data mining, and NLP. Technical Skills: - Proficiency in Python and its libraries such as NumPy, pandas, sci-kit-learn, TensorFlow, Keras, and PyTorch. - Strong understanding of machine learning algorithms and techniques. - Extensive experience with neural networks and deep learning frameworks. - Hands-on experience with data mining and analysis techniques. - Proficiency in natural language processing (NLP) tools and libraries like NLTK, spaCy, and transformers. - Proficiency in Big Data Technologies including Sqoop, Hadoop, HDFS, Hive, and PySpark. - Experience with Cloud Platforms such as AWS services like S3, Step Functions, EventBridge, Athena, RDS, Lambda, and Glue. - Strong knowledge of Database Management systems like SQL, Teradata, MySQL, PostgreSQL, and Snowflake. - Familiarity with Other Tools like ExactTarget, Marketo, SAP BO, Agile, and JIRA. - Strong Analytical Skills to analyze large datasets and derive actionable insights. - Excellent Problem-Solving Skills with the ability to think critically and creatively. - Effective Communication Skills and teamwork abilities to collaborate with various stakeholders. Experience: - At least 8 to 12 years of experience in a similar role.,

You should have at least 2-7 years of experience in software engineering and ML development. Proficiency in Python and ML libraries like Scikit-learn, TensorFlow, or PyTorch is essential. Your responsibilities will include building and evaluating models, data preprocessing, and feature engineering. It is important to have a good understanding of REST APIs, Docker, Git, and CI/CD tools. A strong foundation in software engineering principles such as data structures, algorithms, and design patterns is required. Hands-on experience with MLOps platforms like MLflow, TFX, Airflow, and Kubeflow is preferred. Exposure to NLP, large language models (LLMs), or computer vision projects will be beneficial for this role. Experience with cloud platforms such as AWS, GCP, and Azure, as well as managed ML services, is a plus. Any contributions to open-source ML libraries or participation in ML competitions like Kaggle or DrivenData will be considered an advantage.,

Join Amgen's Mission of Serving Patients At Amgen, you will be part of something bigger, driven by our shared mission to serve patients living with serious illnesses. Since 1980, Amgen has been a pioneer in the world of biotech, focusing on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease, reaching millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that help people live longer, fuller, and happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you are passionate about challenges and the opportunities they present, you will thrive as part of the Amgen team. Join us to make a lasting impact on patients" lives and transform your career. Data Scientist (US Value & Access Insights) In this vital role at Amgen, you will develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Your responsibilities will include creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: - Ensuring that models are trained with the latest data and meet SLA expectations - Acting as a subject matter expert in solving development and commercial questions - Collaborating with a global cross-functional team on the AI tools roadmap - Working in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics - Utilizing technical skills such as hypothesis testing, machine learning, and retrieval processes for statistical and data mining techniques - Performing exploratory and targeted data analyses using descriptive statistics and other methods - Collaborating with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights - Developing and integrating custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities to enhance decision-making and efficiency What We Expect Of You Basic Qualifications: - Masters degree with 1 to 3 years of computer science, statistics, or STEM majors with at least 1 year of Information Systems experience - Bachelors degree with 3 to 5 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Diploma with 7 to 9 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Experience with analytic software tools or languages like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Preferred Qualifications: - Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) - Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) - Outstanding analytical and problem-solving skills, ability to learn quickly, excellent communication and interpersonal skills - Experience with data engineering, pipeline development, NLP techniques for text analysis, sentiment analysis, time-series data analysis, forecasting, trend analysis, AWS, Azure, Google Cloud, Databricks platform for data analytics, and MLOps Professional Certifications: - Any AWS Developer certification (preferred) - Any Python and ML certification (preferred) Soft Skills: - Initiative to explore alternate technology and approaches to problem-solving - Skilled in breaking down problems, documenting problem statements, and estimating efforts - Excellent analytical and troubleshooting skills - Strong verbal and written communication skills - Ability to work effectively with global, virtual teams - High degree of initiative and self-motivation - Ability to manage multiple priorities successfully - Team-oriented, with a focus on achieving team goals What You Can Expect Of Us At Amgen, we support your professional and personal growth and well-being as we develop treatments to take care of others. We offer competitive benefits and a collaborative culture to support your journey every step of the way. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com. As an organization dedicated to improving the quality of life globally, Amgen fosters an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and live by Amgen values to advance science in serving patients. We ensure individuals with disabilities are provided reasonable accommodation throughout the job application process. Contact us to request accommodation.,

As a Principal Generative AI (GenAI) Engineer at Velocity Clinical Research, you play a crucial role in developing and implementing advanced Generative AI solutions to drive innovation and create business value. Your responsibilities include designing, optimizing, and deploying cutting-edge AI models and techniques such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Working closely with cross-functional teams, you will integrate these technologies into products and services to ensure they meet performance and business requirements. Your deep understanding of AI and continuous awareness of the latest advancements will be vital in shaping the future of AI capabilities at Velocity. Your duties involve actively designing, developing, and deploying advanced Generative AI applications using techniques like prompt engineering and RAG. Collaborating with data scientists, ML engineers, and product teams, you will translate business requirements into scalable GenAI applications. You will experiment with new Generative AI techniques, evaluate models rigorously, and explore agentic frameworks to develop AI systems capable of autonomous decision-making. Staying updated with Generative AI research, you will optimize models for real-world deployment, integrate them into production environments, and contribute to best practices specific to Generative AI technologies. To excel in this role, you must possess a deep understanding of machine learning algorithms, neural networks, and natural language processing. Expertise in working with Generative AI models, prompt engineering, and RAG techniques is essential. Proficiency in programming languages like Python, TensorFlow, and PyTorch, as well as experience with data pre-processing, ethical considerations in AI model development, and software engineering skills are required. You should be able to build, deploy, and maintain scalable AI/ML pipelines, work with APIs and microservices architecture, and demonstrate strong problem-solving skills and a passion for innovation in AI. Ideally, you hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a Ph.D. preferred. With at least 8 years of software engineering experience, including 4+ years focused on AI/ML, and a background in Generative AI technologies, you should also have experience with LLMs like GPT and BERT. Effective communication skills, mentorship abilities, and a proven track record of developing production-level AI/ML solutions are essential for success in this role. Please note that this Job Description provides a general overview of the position's function and is not an exhaustive list of specific tasks. Job duties are subject to change based on Company and departmental needs. All employees are expected to perform their duties to the best of their abilities and as requested by management.,

Job Description As a Generative AI Engineer at Endorize, you will play a crucial role in revolutionizing primary healthcare through cutting-edge AI technology and a patient-first approach. Your primary responsibility will involve developing, deploying, and optimizing AI models specifically tailored for healthcare applications. This full-time hybrid role based in Chennai offers some work-from-home flexibility, providing you with the opportunity to make a significant impact in the field of healthcare technology. Your daily tasks will revolve around coding, debugging, data preprocessing, model training, and evaluating AI performance. With your expertise in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn, you will collaborate with cross-functional teams to seamlessly integrate AI solutions into Endorize's innovative products and services. Your strong programming skills in languages such as Python, Java, or similar, coupled with your proficiency in natural language processing (NLP) and computer vision, will be essential in driving the success of our healthcare solutions. To excel in this role, you should possess a solid foundation in data preprocessing, model training, and evaluation techniques. Your ability to work collaboratively within a team, coupled with effective communication skills, will be crucial in ensuring the successful implementation of AI technologies at Endorize. While knowledge of healthcare industry standards and practices is advantageous, a Bachelors or Masters degree in Computer Science, Engineering, or a related field is required to be considered for this position. Join us at Endorize, where we are redefining healthcare by merging technology with compassionate care. Be part of a team that is dedicated to making healthcare more accessible, engaging, and personalized for all individuals. Let's shape the future of healthcare together, where technology meets care.,

Company Description NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects. Job Description NielsenIQ’s Innovation Team is growing our AI capabilities and is now looking to hire an AI/ML Data Scientist in India (Pune). for the Core Models team, a multidisciplinary team of researchers working on different areas of AI such as recommender systems, extreme classifiers, Large Language Models (LLMs), among others. As part of this team, you will stay up to date with the latest research in AI (with special focus on NLP, but also on Computer Vision and other AI related fields), implement current state-of-the-art algorithms in real-world and large-scale challenging problems as well as proposing novel ideas. Your main focus will be creating high-quality datasets for training and fine-tuning Custom Models for the company, LLMs and Recommender Systems, and training them to analyze the impact of the different versions of the data on model’s performance. The selected candidate will be responsible for designing and implementing scalable data pipelines and strategies to support all stages of the R&D process, e.g., fine-tuning or alignment through reinforcement learning. The results of the word will be critical to ensure the robustness, safety, and alignment of our AI models. You will also have the opportunity to produce scientific content such as patents or conference/journal papers. Job Responsibilities: Investigate, develop, and apply data pipelines with minimal technical supervision, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code. Train Deep Learning models (Transformer models) and analyze the impact of different versions of the data. Perform feasibility studies and analyze data to determine the most appropriate solution. Drive innovation and proactively contribute to our work on custom Large Language Models. Be able to communicate results to tech and non-tech audiences. To work as a member of a team, encouraging team building, motivation and cultivating effective team relations. Qualifications Required Education, Skills and Experience: Master's degree in computer science or an equivalent numerate discipline. At least 5+ years’ experience with evidence in a related field. Strong background in computer science, linear algebra, probability. Solid experience in Machine Learning and Deep Learning (special focus on Transformers). Proven experience in Natural Language Processing and Large Language Models. Proven experience building scalable data pipelines and ETLs. Able to understand scientific papers and develop ideas into executable code. Proven track record of innovation in creating novel algorithms and publishing the results in AI conferences/journals. Languages and technologies: Python, SQL, PySpark, Databricks, Pandas/Polars, PyArrow, PyTorch, Huggingface, git. Proactive attitude, constructive, intellectual curiosity, and persistence to find answers to questions. A proficient level of interpersonal and communication skills (English level B2 minimum). Keen to work as part of a diverse team of international colleagues and in a global inclusive culture. Additional Information: Preferred Education, Skills and Experience: PhD in science (NLP/Data Science is preferred) and specialized courses in one of the above-mentioned fields. Experience working with large real-world datasets and scalable ML solutions. Previous experience in e-commerce, retail and/or FMCG/Consumer Insight business. Agile methodologies development (SCRUM or Scale Agile). Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

The Machine Learning Engineer / Data Scientist (Generative AI & Data Engineering) position based in Gurgaon/NCR requires 3 to 5 years of experience in AI & Data Science Enterprise Delivery. As a Team Manager, your primary responsibility will be to manage client expectations and collaborate with stakeholders to fulfill customer requirements. Your duties will encompass various aspects of Data Science, including developing machine learning models to support recommendation systems and NLP projects. You will be tasked with providing actionable insights to optimize products and services. In Data Engineering, your role involves building and maintaining scalable ETL pipelines, optimizing data storage solutions, and ensuring data accuracy and reliability for analytics. Moreover, you will analyze complex datasets to identify trends and patterns, generating insights that drive strategic decisions and enhance client services. Collaborating with product and service teams, you will translate data needs into technical solutions. You will report to the VP Business Growth and engage with external stakeholders, primarily clients. Your technical skills should include proficiency in Python (Pandas, NumPy), SQL, and Java, along with experience in LLMs, LangChain, Generative AI technologies, ML frameworks (TensorFlow, PyTorch), and data engineering tools (Spark, Kafka). Soft skills such as the ability to work independently or in a team, excellent communication, critical thinking, problem-solving abilities, and a proactive approach in dynamic environments are essential. Academic qualifications entail a Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field, with 3 to 5 years of experience in Data Science and Data Engineering. Proficiency in key data engineering concepts and strong communication skills are crucial for success in this role.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. We're committed to ensuring that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.,

As a highly skilled and experienced Senior .NET Full Stack Developer with a passion for leveraging AI and machine learning to drive innovation and efficiency in software development, you will have the opportunity to work out of Kozhikode. Your role as a key contributor will involve designing, developing, and maintaining robust and scalable web applications, utilizing your expertise in both .NET backend and React frontend technologies. Your key responsibilities will include participating in requirements analysis, collaborating with internal teams to produce software design and architecture, and developing robust and scalable .NET backend services using .NET Core and Entity Framework Core. You will also be responsible for designing user-friendly and responsive web interfaces using React, JavaScript, and HTML/CSS, implementing complex UI components and interactions, and optimizing frontend performance and user experience. You will work seamlessly between frontend and backend development, ensuring seamless integration and data flow, troubleshooting and resolving complex technical issues across the full stack, and contributing to the overall architecture and design of the application. Additionally, you will research and implement AI and machine learning techniques to enhance software development processes, utilizing AI tools for code generation, testing, and automated debugging. Collaboration with DevOps teams to implement CI/CD pipelines and automate deployment processes will be part of your responsibilities. You will utilize tools like Jenkins, Azure DevOps, or GitLab CI/CD to streamline development and deployment workflows and contribute to infrastructure as code initiatives to manage and provision infrastructure resources. Other responsibilities will include testing and deploying applications and systems, revising, updating, refactoring, and debugging code, improving existing software, developing documentation throughout the software development life cycle, and serving as an expert on applications and providing technical support. To be successful in this role, you should have 5+ years of hands-on experience in .NET development, strong proficiency in React, JavaScript, HTML/CSS, RESTful API design and development, database technologies like SQL Server and Postgres, and experience with cloud platforms such as Azure, AWS, or GCP. Additionally, you should possess a solid understanding of software development principles, design patterns, best practices, version control systems like Git, problem-solving skills, excellent communication, and interpersonal skills. A keen interest in AI and machine learning, along with experience in AI frameworks and tools like TensorFlow, PyTorch, or ML.NET, will be advantageous.,

As an AI Developer at KritiLabs, you will play a crucial role in various aspects of data analysis and model development. Your responsibilities will include assisting in data analysis, supporting the design and implementation of machine learning models, conducting experiments to evaluate model performance, documenting processes and results, collaborating with cross-functional teams, and engaging in ongoing learning opportunities to enhance your understanding of AI/ML concepts and technologies. To excel in this role, you should have a background in Computer Science, Data Science, Mathematics, Statistics, or a related field. Proficiency in programming languages such as Python or R, along with experience in data manipulation libraries like Pandas and NumPy, is essential. A basic understanding of machine learning concepts and algorithms, including regression, classification, and clustering, is required. Strong analytical skills, problem-solving abilities, attention to detail, and the capacity to work with large datasets are key attributes for success in this position. Effective communication skills, both verbal and written, are crucial for articulating complex concepts clearly. Being a team player is vital to collaborate effectively in a fast-paced and collaborative environment. Any prior experience with AI/ML projects or relevant coursework will be advantageous. Additionally, familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn will be beneficial. KritiLabs offers a dynamic, innovative, and inclusive work environment that values and celebrates individual contributions. We provide opportunities for growth, competitive benefits including health insurance and retirement plans, and a strong emphasis on maintaining a healthy work-life balance through flexible work arrangements. Join us in Chennai, where you can drive positive change and make a difference while working on cutting-edge projects that challenge conventional thinking and push the boundaries of innovation. English proficiency is mandatory, and knowledge of other languages is an added advantage.,

As an AI Engineer & Validation at Leadsoc Technologies in Hyderabad, you will be responsible for leveraging your skills in machine learning fundamentals, including deep learning, large language models, and recommender systems. Your role will involve having a strong background in validation, defect analysis, and the software development life cycle. Additionally, you should possess a solid knowledge of Ubuntu and Yocto Linux systems. To excel in this position, you must have experience working with open-source frameworks like PyTorch, TensorFlow, and ONNX-Runtime. Proficiency in profiling ML workloads and executing validation plans for AI/ML compute stacks such as HIP, CUDA, OpenCL, and OpenVINO will be crucial for success in this role. A strong background in Python programming is essential for effectively carrying out your responsibilities. Ideally, you should have 3-6 years of experience in the field and be able to join the team with a notice period of 0-15 days. If you are passionate about AI engineering and validation and possess the required skills and experience, we encourage you to apply and be a part of our dynamic team at Leadsoc Technologies. Thank you for considering this opportunity. Best regards, Murali,

As a Research Assistant at our institution, you will have the opportunity to contribute to cutting-edge research in various domains such as Artificial Intelligence, Medical Image Analysis, Clinical Neuroscience, and more. Your primary responsibility will involve providing advanced modeling and medical image analytics support to projects within SCMIA. You will lead the development, testing, and implementation of Deep learning/machine learning models while also managing the computational and administrative requirements of the NVIDIA DGX A100 GPU Server. Collaboration will be a key aspect of your role as you work closely with a diverse team including clinicians, radiologists, technicians, surgeons, and other engineers. In addition to technical tasks, you will be responsible for developing and maintaining test scripts, documentation, and training materials for new recruits and students. Moreover, you will have the opportunity to contribute to scientific journal publications and receive advanced training on new tools to enhance your skill set. To be successful in this role, you should possess a minimum qualification of M.Tech/M.S./M.E./M.Sc. or equivalent in relevant fields such as Computer Science, Information Technology, Electronics and Telecommunication, Data Sciences and AI, or Applied Mathematics. Alternatively, a Ph.D. degree in one of the research domains with a focus on medical imaging will be considered. Preference will be given to candidates with hands-on experience in areas such as data analytics/modelling, data science, machine learning, clinical trial protocols, Python programming, medical image analysis, and Unity 3D development. Salary and emoluments for this position will be as per the SIU norms and commensurate with your experience and educational qualifications. If you are interested in joining our team, please submit your detailed resume, including any relevant qualifications and publications, along with a cover letter via email to head@scmia.edu.in by the 15th of August, 2025. We look forward to receiving your application and potentially welcoming you to our research team.,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

As a Director of AI Lab at McDonalds Corporation, you will play a crucial role in driving research and evaluation of cutting-edge AI technologies to enhance the organization's innovation and AI strategy. Your primary responsibilities will include defining and executing a comprehensive AI ecosystem strategy aligned with business goals, leading a team of AI experts, overseeing the development of advanced AI models, fostering collaboration with internal and external stakeholders, and promoting ethical AI practices. Your strategic vision will involve identifying high-impact AI use cases, establishing a roadmap for AI development, and prioritizing research initiatives. You will be expected to build and manage a high-performing team of AI professionals, create a culture of innovation and experimentation, and provide mentorship for career development. Additionally, you will lead the development of advanced AI models, conduct research to explore new techniques, and validate AI solutions through proof-of-concept projects. Collaboration and stakeholder management will be essential aspects of your role, as you partner with cross-functional teams to implement AI solutions, communicate technical concepts to non-technical stakeholders, and build relationships with external partners to enhance the AI ecosystem community. Furthermore, you will champion ethical AI practices by ensuring data privacy, fairness, and responsible development of AI models, while establishing guidelines for data governance and model transparency. To qualify for this position, you should possess a Bachelor's degree in data science, Computer Science, Business, or Analytics, with a preference for a Masters or PhD. You should have 15+ years of experience in AI/ML or related fields, with hands-on experience in building and deploying AI solutions. Proficiency in programming languages such as Python, R, or Java, as well as experience with AI/ML frameworks like TensorFlow and PyTorch, is required. Familiarity with AI techniques such as deep learning, reinforcement learning, generative AI, Agentic AI, and Edge AI is essential, along with experience in ML frameworks and large-scale AI system design. Start-up and entrepreneurship experience will be considered a plus, and the ability to effectively communicate complex AI concepts to non-technical stakeholders is crucial. This full-time role is based in Hyderabad, India, and follows a hybrid work mode. If you are a seasoned AI professional with a passion for driving innovation and leading high-performing teams, we invite you to join us at McDonalds Corporation and make a significant impact on our global AI strategy.,

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device, or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards, and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research, and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists, and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting, and our teams thrive on tackling really hard problems. There is never a dull moment with us. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG) is responsible for creating all of KLA's metrology and inspection products. The LS-SWIFT Division of KLA's Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from various markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry's most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface macro inspection that is critical for various processes. LS-SWIFT operates globally and serves a worldwide customer base. Responsibilities: - Design, develop, and implement cutting-edge deep computer vision, signal processing, machine learning, or image processing algorithms - Rapidly prototype and validate new image processing and machine learning ideas - Develop end-to-end solutions considering system, imaging pipeline, user experience, and end application requirements - Collaborate in a highly cross-functional organization for systems integration of algorithms - Write robust production-quality code - Take ownership of prototype to production of algorithms Requirements: - Strong background in signal processing, machine learning, deep learning, computer vision, and image processing - Proficiency in C/C++, Matlab, Python, and object-oriented design - Experience in design and rendering software is a plus - Knowledge of common deep learning frameworks like TensorFlow and PyTorch - Ability to formulate problems into mathematical equations - Team player with excellent written and verbal communication skills - Ability and willingness to travel worldwide to support demos and projects at customer sites Minimum Qualifications: - Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years KLA offers a competitive, family-friendly total rewards package and is proud to be an equal opportunity employer. Be cautious of potentially fraudulent job postings and recruiting activities. KLA does not ask for financial compensation for interviews or equipment, nor work with recruiters who charge such fees. If you have concerns about the legitimacy of any communication, interview, or offer, please contact talent.acquisition@kla.com for verification.,

You will be working as an AI Engineer specializing in Localization within the AI/ML business unit based in Bangalore. With 2-5 years of experience and a degree in B.E / B.Tech / MS in computer science, you will have the following roles and responsibilities: - As an AI engine creator, you will be involved in training new models, integrating existing models, and applying transfer learning techniques. - Join a dynamic team working on cutting-edge AI solutions for the Media and Entertainment industry. Contribute actively to the development and enhancement of new AI solutions. - Collaborate with Gen AI / LLM solutions, focusing on prompt engineering and prompt optimization for optimal results extraction. - Develop sophisticated solutions that simplify complexity for customers while ensuring cost-effectiveness and efficiency. - Fine-tune accuracies and explore innovative approaches to enhance hypothesis without overfitting. - Demonstrate the ability to handle ambiguity and take the lead in solving industry challenges with little historical reference. - Provide technical and thought leadership within the team. - Possess hands-on experience in Localization, Speech to text, Transcription, and Translation. - Expertise in Computer vision, Open CV, TensorFlow, PyTorch, Python, Neural networks, CNNs, GenAL, Generative AI, LLMs, Prompt engineering, AWS or Azure cloud, Dockers, and K8s/Kubernetes is essential. - Knowledge of GANs, Nano models, Google LLMs (Bard, Gemini), and Hugging face models (Mistral, etc) would be an additional advantage. In addition to your responsibilities, you may also be involved in inventing and patenting new technologies to further enhance AI solutions in the industry.,

You are a talented and driven Machine Learning Engineer with 2-5 years of experience, looking to join a dynamic team in Chennai. Your expertise lies in machine learning principles and hands-on experience in building, deploying, and managing ML models in production environments. In this role, you will focus on MLOps practices and orchestration to ensure robust, scalable, and automated ML pipelines. Your responsibilities will include designing, developing, and implementing end-to-end MLOps pipelines for deploying, monitoring, and managing machine learning models in production. You will use orchestration tools such as Apache Airflow, Kubeflow, AWS Step Functions, or Azure Data Factory to automate ML workflows. Implementing CI/CD practices for ML code, models, and infrastructure will be crucial for ensuring rapid and reliable releases. You will also establish monitoring and alerting systems for deployed ML models, optimize performance, troubleshoot and debug issues across the ML lifecycle, and create and maintain technical documentation. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field, along with 2-5 years of professional experience as a Machine Learning Engineer or MLOps Engineer. Your skills should include proficiency in Python and its ML ecosystem, hands-on experience with major cloud platforms and their ML/MLOps services, knowledge of orchestration tools, containerization technologies, CI/CD pipelines, and database systems. Strong problem-solving, analytical, and communication skills are essential for collaborating effectively with Data Scientists, Data Engineers, and Software Developers in an Agile environment.,

As a Python Developer specializing in Artificial Intelligence (AI) and Machine Learning (ML), you will play a crucial role in our team by designing, deploying, and enhancing intelligent applications and solutions using Python and ML frameworks. Your responsibilities will include developing scalable Python applications with AI/ML capabilities, creating machine learning models for various purposes such as classification, prediction, and NLP, and collaborating closely with data scientists and product teams to integrate ML models into production systems. You will also be tasked with optimizing algorithms for performance, maintaining and improving existing ML pipelines, and ensuring clean, reusable, and well-documented code. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, alongside 3-5 years of hands-on experience in Python programming. A strong grasp of AI/ML concepts and applications is essential, as well as proficiency in libraries and frameworks like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch. Experience with data preprocessing, model training, and evaluation, as well as knowledge of REST APIs and deployment tools like Flask or FastAPI, will be beneficial. Familiarity with cloud platforms and ML Ops tools is a plus, and strong analytical, problem-solving, communication, and collaboration skills are necessary. Additionally, having experience with Natural Language Processing (NLP), exposure to deep learning and computer vision projects, and knowledge of containerization tools like Docker and orchestration with Kubernetes are considered advantageous. By joining our team, you will have the opportunity to work on real-world AI/ML projects in a collaborative and innovative work environment with a flexible work culture and various learning and development opportunities. Furthermore, we offer benefits such as Private Health Insurance, a Hybrid Work Mode, Performance Bonus, and Paid Time Off.,