115 Julia Jobs

Key Responsibilities: Develop and expand model libraries for JuliaSim, particularly in mechanical, hydraulic, thermal, and electrical domains. Build digital twins for systems such as HVACs, batteries, vehicles, and other industry-relevant applications. Collaborate with industry experts to gather and understand customer requirements and integrate them into model development. Work with Git-based workflows and utilize test-driven development and CI/CD pipelines for efficient and high-quality software development. Required Qualifications: Domain knowledge in either Mechanical, Electrical, or Chemical engineering fields. Experience using numerical solvers to build and solve 1D models. Proven experience with acausal domain modeling tools such as Modelica, Simscape, Amesim, or/and GPROMs. Proficiency in Git-based workflows, test-driven development, and working with CI/CD pipelines. Knowledge of numerical computing with experience in Julia, Matlab, Python, or Fortran, etc. Preferred Qualifications: Experience with Julia, SciML, DifferentialEquations.jl and ModelingToolkit.jl to develop scalable and high-performance models. Experience in Controls and Optimization.

Job Description – Software Engineer (Machine Learning) We are looking for an experienced Software Engineer – Machine Learning with 3–5 years of proven expertise in designing, developing, and deploying AI/ML solutions at an enterprise level. The ideal candidate will bring hands-on experience in Computer Vision, Deep Learning, Generative AI, and GIS-based AI applications, along with strong programming, analytical, and solution-building skills. In this role, you will contribute to the development of AI-powered GIS platforms, multimodal and geospatially aware models, and real-time feature detection systems, playing a key role in the end-to-end lifecycle of enterprise-grade AI/ML solutions. Must Have -3–5 years of hands-on experience in implementing AI/ML solutions in enterprise or large-scale production environments. -Strong programming proficiency in Python with practical use of TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas, and OpenCV. -Proven experience with Computer Vision architectures, including YOLO, SAM, U-Net, and other CNN-based models for real-time object detection, segmentation, and feature extraction. -Expertise in image classification using advanced CV models (e.g., ResNet, VGG, YOLOv5/v8, EfficientNet). -Deep understanding and implementation experience of machine learning algorithms (supervised, unsupervised, and reinforcement learning) for classification, regression, and clustering. -Experience in Generative AI and Large Language Models (LLMs), including transformers, diffusion models, multimodal pipelines, and speech-to-text/NLP solutions. -Strong foundation in mathematics, statistics, data structures, algorithms, and optimization techniques. -Hands-on experience with RNNs/LSTMs, hybrid neural architectures, and temporal/spatiotemporal modeling. -Practical knowledge of Agentic AI systems (AI agents, multi-agent workflows, or autonomous agent design). -GIS domain expertise – demonstrated ability to integrate AI/ML with geospatial datasets, satellite imagery, and spatial analytics to deliver practical solutions. -End-to-end experience in AI/ML solution lifecycle – from data preprocessing, model training, evaluation, deployment, and scaling. Hands-on exposure to geospatial toolkits/libraries (e.g., GDAL, GeoPandas, QGIS, ArcGIS APIs) and their integration with ML workflows. Should Have -Working knowledge of MLOps/LLMOps workflows for scalable, automated AI/ML deployments (CI/CD, containerization, orchestration). -Experience with enterprise-grade data platforms (cloud-native, distributed systems) ensuring high performance and interoperability with AI workloads. -Practical exposure to geospatial feature extraction, change detection, and segmentation workflows. -Strong ability to communicate AI/GIS solutions, collaborate with cross-functional teams, and translate research into applied enterprise use cases. Could Have -Certifications in AI/ML, GIS, or cloud platforms (AWS, Azure, GCP). -Familiarity with scientific computing libraries (SciPy, Theano, Julia ecosystem). -Experience contributing to AI/GIS research publications, open-source projects, or innovation programs. -Knowledge of emerging paradigms such as federated learning, multi-agent systems, spatial AI, or Responsible AI practices.

Job Profile Provide strategic direction on research and policy analysis related to energy sector reforms, emerging technologies, and the clean energy transition. Lead development of Compendium of Energy Efficiency Rules and Regulations. Undertake regulatory gap assessments through research, international benchmarking, and stakeholder consultations. Oversee the design, application, and validation of advanced modeling tools (capacity expansion, production cost, resource adequacy, demand-side integration) at national and state/DISCOM levels. Manage project teams, mentor junior researchers, and ensure high-quality deliverables. Coordinate with BEE and other stakeholders for validation, review, and dissemination of research outputs. Support the design and execution of stakeholder workshops and consultations. Experience 5 - 9 Years Qualification Ph.D. in Electrical/Electronics/Power Systems/Energy Economics or related fields with at least 2 years of relevant research or policy experience; or a Post-graduate degree in the same fields with at least 5 years of relevant experience. Skills - Strong understanding of energy policy- regulatory frameworks- and institutional mechanisms in India. Provide strategic direction on research and policy analysis related to energy sector reforms- emerging technologies- and the clean energy transition. Lead development of Compendium of Energy Efficiency Rules and Regulations. - Undertake regulatory gap assessments through research- international benchmarking- and stakeholder consultations. - Oversee the design- application- and validation of advanced modeling tools (capacity expansion- production cost- resource adequacy- demand-side integration) at national and state/DISCOM levels. - Manage project teams- mentor junior researchers- and ensure high-quality deliverables. - Coordinate with BEE and other stakeholders for validation- review- and dissemination of research outputs. Support the design and execution of stakeholder workshops and consultations. - Good understanding of the Energy Conservation Act 2001- Electricity Act 2003- and the rules and regulations made under the two Acts - Experience in policy research- preferably in energy efficiency or sustainability domains. - Proficiency in power system modelling software such as PLEXOS- GridPath- PyPSA- GAMS. - Excellent programming skills in Python- MATLAB- or Julia and experience with data visualization tools such as Power BI- Tableau- etc. - Excellent writing- communication- and stakeholder engagement skills. Location Hyderabad Salary As per industry standards Please apply latest by September 21, 2025

Job Profile Conduct research and analysis on energy sector trends, policies, and technologies. Support preparation of policy and regulatory knowledge products on energy efficiency. Build and manage national and state-/DISCOM-specific models, including optimal capacity expansion, production cost optimisation, and resource adequacy models. Assess the integration of energy-efficiency measures within capacity-expansion and system planning models. Support the organization of review meetings, workshops, and dissemination events. Experience 2 - 4 Years Qualification Post graduate degree in Electrical/ Power System/Energy Economics or a related field. Minimum two years of research experience. Skills - Understanding of energy data management- sectoral transitions- and sustainability frameworks. - Exposure to the Energy Conservation Act 2001- Electricity Act 2003- and the rules and regulations made under the two Acts. Strong analytical and research capabilities in energy sector modelling and data analysis. - Exposure to power system modelling in software such as PLEXOS- GridPath- PyPSA- GAMS. - Excellent programming skills in Python- MATLAB- or Julia and experience with data visualization tools such as Power BI- Tableau- etc. Excellent communication and writing abilities. Location Hyderabad Salary As per industry standards Please apply latest by September 21, 2025

As a project associate for a project sponsored by the Naval Research Board (India), your primary responsibility will involve writing code in MATLAB/Julia. This code will be utilized to execute acoustic models and process observations that have been recorded in the ocean. Your expertise in coding will play a crucial role in the success of the project. To qualify for this position, you must hold a bachelor's degree in Electrical Engineering or a related field. A Master's degree would be preferred, showcasing your advanced knowledge and skills in the relevant areas. Your educational background will provide you with the foundation necessary to excel in this role and contribute effectively to the project. This is a year-long opportunity where you will be instrumental in the research and development activities supported by the Naval Research Board (India). If you are passionate about utilizing your technical skills to support marine research initiatives, then this position is ideal for you. Join us in making a meaningful impact in the field of acoustic modeling and ocean observation processing.,

About The Role Skill required: Delivery - Digital Marketing Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Data & AIIn digital marketing analytics, you will be involved in processes and technologies that enable marketers to effectively evaluate the success and value of their digital marketing initiatives, identify trends and patterns over time and make data driven decisions. What are we looking for? Data Science Proficiency in Data Modeling, Experimental Design/Analysis, Marketing and/or Business Analytics. Knowledge of Data Science and Machine Learning concepts and algorithms. Experienced with programming languages and Data Science scripting (in Python / R / Scala / Julia) Experience with Cloud Technologies Experience in implementing ethical practices into data science. Negotiation skills Problem-solving skills Adaptable and flexible Results orientation Prioritization of workload Roles and Responsibilities: Utilize advanced statistical and machine learning techniques to address complex business problems Possess the ability to conduct exploratory data analysis and present findings in ways that are meaningful to stakeholders Develop, refine, and implement models that enhance decision-making processes. Perform comprehensive preprocessing of both structured and unstructured data to ensure its quality and relevance Undertake data collection, analysis, and interpretation to extract meaningful insights. Analyze vast datasets to identify trends, patterns, and correlations that contribute to informed decision-making Build, refine, and deploy predictive models and machine-learning algorithms that align with business objectives Collaborate closely with engineering and marketing teams to understand their requirements and integrate data-driven solutions into their workflows Conduct ad-hoc analyses to provide timely and relevant insights, along with actionable recommendations to address pressing business questions Develop and implement machine learning solutions, including audience segmentation, marketing engagement level evaluation, and prioritization of sales engagement with accounts Manage the end-to-end lifecycle of machine learning models, including training, testing, deployment, and continuous improvement Effectively communicate complex findings and insights to both technical and non-technical stakeholders Document methodologies, data sources, and models to ensure transparency and reproducibility Qualification Any Graduation

2 Years of experience mandatory Machine Learning (ML): Supervised & unsupervised learning Regression, classification, clustering Model evaluation and tuning Deep Learning: Neural networks (CNNs, RNNs, LSTMs, Transformers) Frameworks: TensorFlow, PyTorch, Keras Data Science & Analytics: Data cleaning and pre-processing Feature engineering EDA (Exploratory Data Analysis) Programming: Proficient in Python (NumPy, pandas, scikit-learn, matplotlib, etc.) Optional: R, Julia, or C++ NLP & LLMs: Text preprocessing, embeddings (word2vec, BERT, etc.) Fine-tuning and using LLMs (e.g., GPT, BERT, T5) Computer Vision: Image classification, object detection OpenCV, YOLO, or similar libraries Math & Stats: Linear algebra, probability, calculus Statistical modeling Infrastructure & DevOps Cloud platforms: AWS, GCP, Azure MLOps: ML pipelines, model versioning (e.g., MLflow, DVC) Docker, Kubernetes for deployment Git and version control Understanding business problems and translating them into AI solutions Job Type: Full-time Pay: ₹50,499.45 - ₹75,027.94 per month Experience: AL/ML: 2 years (Required) Work Location: In person

I am looking to hire a project associate for a project sponsored by the Naval Research Board (India). The position will last at least for a year Responsibilities Write code in MATLAB/Julia to run acoustic models and to also process observations recorded in the ocean. Qualifications The candidate must have a bachelors degree (Master&aposs preferred) in Electrical Engineering or other related areas Show more Show less

Key Qualifications: A bachelors degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Good software engineering foundation with the understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc. 3+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc. Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. Experience with Big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. Experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Good understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

I am looking to hire a project associate for a project sponsored by the Naval Research Board (India). The position will last at least for a year Responsibilities Write code in MATLAB/Julia to run acoustic models and to also process observations recorded in the ocean. Qualifications The candidate must have a bachelors degree (Master's preferred) in Electrical Engineering or other related areas

VentureSoft Global | Full time Data Scientist Bangalore South, India | Posted on 01/03/2025 check(event) ; career-website-detail => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> check(event)" mousedown="lyte-button => check(event)" final-style="background-color: #fff; color:#FFFFFF;border-color:#FFFFFF;" final-class="lyte-button lyteColorBtn" lyte-rendered=""> {{getI18n("zr.cw.sh.job")}} Share this job with your network openurl(event)"> openurl(event)"> openurl(event)"> openurl(event)"> openurl(event)"> copyLink(event)"> load_list_page(event)"> Job listing Job details Job Information Date Opened 01/03/2025 Job Type Full time Industry Technology Work Experience 5+ years City Bangalore South State/Province Karnataka Country India Zip/Postal Code 560102 About Us VentureSoft Global, Inc. is a technology services company specializing in software development and IT consulting. We offer a range of services including custom software development, mobile app development, cloud solutions, Data, AI/ML Engineering and digital transformation services. The company prides itself on delivering innovative and tailored solutions to help businesses optimize their operations and stay competitive in the digital landscape. Job Description In this role as Data Scientist, you will develop and deploy advanced ML models, including large language models (LLMs), to solve complex problems. You'll analyze data, optimize AI pipelines, and collaborate with teams to deliver impactful AI solutions. Additionally, you'll explore emerging AI trends, ensure efficiency practices, and enhance model performance and scalability. Responsibilities Develop and deploy machine learning (ML) models to solve complex business problems. Design, fine-tune, and evaluate large language models (LLMs) for various applications. Research and prototype cutting-edge AI models, ensuring scalability and effectiveness. Analyze structured and unstructured data to extract actionable insights. Build and optimize data pipelines to support AI/ML model training and deployment. Collaborate with cross-functional teams to understand requirements and deliver AI-driven solutions. Conduct A/B testing, performance monitoring, and continuous model improvement. Stay updated on the latest advancements in AI/ML technologies and integrate them as appropriate. Document processes, models, and findings for technical and non-technical stakeholders. Requirements PhD or Master's degree in Computer Science, Statistics, Mathematics, or related field 5+ years of experience in Business intelligence, data science, or related fields Strong programming skills in Python, R, or Julia, with expertise in libraries like TensorFlow, PyTorch, or Scikit-learn. In-depth understanding of large language models (e.g., GPT, BERT) and natural language processing (NLP). Experience with data preprocessing, feature engineering, and model evaluation techniques. Knowledge of deep learning architectures (CNNs, RNNs, Transformers) and their applications. Proficiency in querying and managing data using SQL, NoSQL, or graph databases. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow). Strong mathematical foundation in statistics, linear algebra, and optimization techniques. Experience with distributed computing frameworks like Apache Spark or Hadoop. Effective communication skills to present technical findings to diverse audiences. Commitment to continuous learning and passion for exploring emerging AI/ML trends. Benefits Working at VentureSoft means being part of a team driven by success and care. We believe in helping each other achieve their aspirations. We prioritize your growth through exceptional mentorship opportunities, continuous learning programs, and a well-defined career path. Our flat and agile structure ensures that your voice is heard, your ideas are valued, and your contributions drive success for our clients and partners. At VentureSoft, you’re not just an employee—you’re part of a community that supports your aspirations and celebrates your achievements. Flexible Work Schedule/Telecommuting Vacation / Paid Time Off Employee Discounts and Rewards Finding Balance Health Insurance / Wellness Program We offer the best employee benefits and perks, and we have created a culture of appreciation within our organization. It’s a philosophy that’s not necessarily new—the idea that employees who are treated better perform better—but it’s starting to gain momentum in the professional world. At Venturesoft, we think that offering major benefits like flexible work schedules, generous PTO, and unique perks like a vacation reimbursement program (or a tuition reimbursement program), full cost for any IT certifications can do wonders for morale and productivity. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Position Summary: We are seeking a talented and driven Data Scientist to join our dynamic team at Illumina. In this role, you will collaborate with cross-functional teams including scientists, engineers, and bioinformaticians to analyze complex biological data, build advanced models, and generate actionable insights that support research, product development, and commercial goals. Your work will be integral to advancing genomics, clinical applications, and the future of personalized medicine. Key Responsibilities: Design, develop, and implement statistical models, machine learning algorithms, and analytical pipelines Collaborate with research, informatics, engineering, and product teams to define project goals and data strategies aligned with business objectives Apply data mining and predictive modeling techniques to uncover trends and patterns in diverse biological and clinical datasets Validate model performance and ensure reproducibility, scalability, and robustness of analytics solutions Work with software engineering teams to integrate models into production-ready internal and customer-facing tools Communicate technical findings and insights effectively to both technical and non-technical audiences via reports, presentations, and visualizations Remain current with industry trends, tools, and best practices in data science, AI, and computational biology Support development of LLM-driven tools and chatbot-based enterprise solutions in collaboration with AI systems teams Contribute to peer-reviewed publications, scientific conferences, and internal documentation Required Qualifications: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Computational Biology, Engineering, or a related field Proven experience working with large-scale datasets, data wrangling, statistical analysis, and machine learning Proficiency in at least one programming language for data analysis (Python, R, or Julia) Experience with cloud platforms such as AWS or Azure, and data warehouse tools like Snowflake Familiarity with Kubernetes, Apache, and data visualization platforms such as Tableau Understanding of version control systems like Git for collaborative development Excellent communication skills with the ability to present technical findings clearly to diverse audiences Strong problem-solving skills, detail-oriented, and ability to handle multiple projects independently Preferred Qualifications: Master's degree or Ph.D. in Data Science, Bioinformatics, Computational Biology, or a related field 2+ years of relevant experience or equivalent academic/industry project experience Hands-on experience with genomic or next-generation sequencing (NGS) data Experience in a regulated environment with knowledge of privacy standards (e.g., HIPAA, GDPR) Track record of contributing to open-source projects or publishing in scientific journals Background in healthcare, biotechnology, or life sciences

You will be joining our team as a Junior AI/ML Engineer, where you will be responsible for developing and deploying artificial intelligence and machine learning models. Your role will involve assisting in designing, developing, and deploying AI/ML models, working with datasets, collaborating with cross-functional teams, conducting data analysis, and staying updated with industry trends and advancements in AI/ML. To excel in this role, you should have a solid foundation in AI/ML, programming, and data analysis. You must hold a Bachelor's or Master's degree in Computer Science, AI/ML, or a related field, along with 1-2 years of experience in AI/ML or a related field. Basic proficiency in programming languages such as Python, R, or Julia is required, as well as familiarity with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-Learn. Strong problem-solving skills, attention to detail, and effective communication and collaboration abilities are essential for this position. It would be beneficial if you have experience with data visualization tools like Tableau, Power BI, or D3.js, familiarity with cloud platforms such as AWS, GCP, or Azure, and basic knowledge of DevOps practices and containerization using Docker or Kubernetes. This is a part-time role with flexible hours, allowing you to work from home. The contract length is 12 days, with an expected commitment of 4 hours per week. As part of our team, you will have the opportunity to work both day and night shifts, with the potential for quarterly bonuses. Preferred qualifications include a Bachelor's degree, 2 years of experience in data science, and proficiency in the English language. The work location is remote, providing you with the flexibility to work from anywhere.,

Techvantage Analytics is a fast-growing AI services and product engineering company specializing in Analytics, Machine Learning, and AI-based solutions. We are seeking a forward-thinking and highly experienced Gen AI Architect to design and implement cutting-edge AI solutions. The role involves leveraging the latest advancements in artificial intelligence and data science, including foundation models, multimodal AI, federated learning, and emerging AI frameworks. The ideal candidate will drive the development and deployment of scalable AI systems that power innovative applications across diverse domains. In this role, you will be responsible for AI Architecture Design, where you will develop robust architectures for generative AI solutions, leveraging the latest advancements in foundation models, large language models (LLMs), and multimodal AI. You will also be involved in Model Development, building and fine-tuning advanced generative models, such as GPT-based models, diffusion models, and transformers, for applications in text, image, video, and audio generation. Framework Integration is another key aspect of the role, where you will integrate modern AI frameworks, such as LangChain and LlamaIndex, to enhance the capabilities of generative models in production environments. Additionally, you will be tasked with implementing Data Strategy, including synthetic data generation, federated learning, and secure data sharing protocols for effective model training. You will design and oversee the deployment of scalable AI systems using the latest technologies, such as MLOps pipelines, container orchestration (Docker, Kubernetes), and serverless architectures. Ensuring Ethics & Compliance is also crucial, where you will make sure AI models comply with ethical guidelines, including responsible AI principles, addressing fairness, transparency, and mitigating bias. Staying updated with the latest AI trends, such as reinforcement learning with human feedback (RLHF), AI explainability, and continual learning, and applying them to real-world problems is essential. Collaboration is key in this role, as you will work closely with cross-functional teams, including data engineers, scientists, and product managers, to align AI systems with business goals. Leadership & Mentorship are also important aspects, as you will provide guidance to junior AI practitioners and foster a culture of innovation within the team. Performance Monitoring is another critical responsibility, where you will define KPIs for model performance, monitor systems in production, and implement mechanisms for continuous improvement and retraining. The ideal candidate for this role should have a Bachelors, Masters, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related fields, along with 5+ years of experience in AI/ML, with a focus on generative AI technologies. Proven expertise in deploying large-scale generative models in production environments, hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers, and proficiency in Python, R, or Julia for data science and AI model development are required. Additionally, expertise in cloud-native AI solutions, familiarity with advanced data strategies like synthetic data creation and federated learning, and hands-on experience with MLOps practices are preferred. Strong analytical skills, the ability to thrive in a dynamic, fast-paced environment, and a proven track record of working effectively within cross-functional teams are also desired qualities in the ideal candidate.,

As an AI/ML Engineer at Litmus7 Systems Consulting Pvt. Ltd., you will be responsible for designing, developing, debugging, and deploying predictive and deep learning machine learning algorithms. You will dive into the technical complexity of ML algorithms, architectures, features, and bugs when necessary, with the ability to identify root causes and provide solutions. Your role will involve identifying opportunities for innovation, accelerating product launches, and overcoming bottlenecks to ensure timely delivery of results. Additionally, you will be expected to analyze data to identify problem patterns and generate reports. To excel in this role, you should have experience working with Retail Domain providers, although it is not mandatory. Strong programming skills in Python/R/Julia are essential, along with a thorough understanding of designing and implementing deep learning architectures and classical ML models. Proficiency in Data Structures, Algorithms, Complexity Analysis, and attention to detail are key requirements. Effective communication with both technical and non-technical stakeholders is crucial, as well as familiarity with data science tools and frameworks. Litmus7 Systems Consulting Pvt. Ltd. is a leading Retail Maximization company that partners with top global retailers in various sectors. Our AI Team is dedicated to incubating and nurturing talent with expertise in Artificial Intelligence and Machine Learning. We are committed to powering the next era of Retail through cutting-edge technologies and innovative solutions. If you are a passionate individual with self-motivation for delivering niche R&D output, we encourage you to explore this opportunity and be part of our visionary organization shaping the future of retail.,

GenAI Engineer – CL4 Role Overview : As a GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI & engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities : Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support. Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team : US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications : § A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. § Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc. § 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc. § Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. § Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. § Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. § Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. § Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 310665

Über die Aufgabe Standort Indien Karnataka Unternehmen Siemens Gamesa Renewable Power Private Limited Organisation Wind Power Geschäftsbereich Technology Vollzeit / Teilzeit Vollzeit Erfahrungsniveau Berufserfahrene A Snapshot of Your Day As a Grounding System Invent Engineer at Siemens Gamesa, your day will be filled with dynamic challenges and opportunities to innovate. From collaborating with cross-functional teams to engaging with clients and vendors, you will play a crucial role in ensuring our wind turbines' grounding and electromagnetic compatibility. Your day might include inventing, testing, and maintaining grounding systems, analyzing data, and writing technical reports. You'll be at the forefront of driving Siemens Gamesa's mission forward, working on projects that have a tangible impact on our green energy future. How You’ll Make an Impact Develop and maintain build guides for the Electrical technical package from inception through to delivery. Ensure compliance and safety in grounding, bonding, and lightning system build solutions, studies, and measurements. Implement EMC strategies and assessments for complete electrical systems, including certification tests. Conduct hands-on measurements and tests in grounding, EMC, and lightning areas. Work together with product owners to achieve project achievements and ensure high-quality deliverables are met. Provide technical documentation support for client deliverables and internal knowledge sharing. What You Bring Bachelor’s or Master’s degree in Electrical Engineering. 4-8 years of experience in the relevant field, with 3-6 years specifically in grounding system development. Proficiency in various National and International standards such as IEC 60204-1, IEC 60364-5-54, and more. Experience with simulation tools like CST, MATLAB, LTSPICE, BODE100, JULIA, and VSCODE. Strong analytical and problem-solving skills, with the ability to process raw data into usable technical information. Excellent communication and interpersonal skills, with a proven ability to work independently and collaboratively. About the Team You will be part of a top-tier team of engineers committed to developing groundbreaking solutions for renewable energy. Our team emphasizes collaboration, ambition, and dedication to achieving impeccable results in all our projects. We work together to guarantee our wind turbines meet the highest standards of safety and performance, contributing to Siemens Gamesa's mission of balanced energy transformation. Who is Siemens Gamesa? Siemens Gamesa is part of Siemens Energy, a global leader in energy technology with a rich legacy of innovation spanning over 150 years. Together, we are committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. As a leading player in the wind industry and manufacturer of wind turbines, we are passionate about driving the energy transition and providing innovative solutions that meet the growing energy demand of the global community. At Siemens Gamesa, we are constantly seeking dedicated individuals to join our team and support our focus on energy transformation. Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by multiple nationalities. We celebrate character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits Competitive salary and performance-based bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and continuous learning. Flexible work arrangements to support work-life balance. Inclusive and diverse work environment. Engaging and collaborative team culture. [Regional Statements]

Join Piatrika Biosystems as a Quantitative Geneticist and contribute to cutting-edge technology in next-generation plant breeding and field trial solutions. Your role will involve developing advanced analytics to drive data-driven decisions in our breeding programs. By applying quantitative and population genetics, genomics, and AI/ML models, you will accelerate genetic gain and optimize breeding strategies. Collaborating with multi-disciplinary teams, you will deliver precise, automated methodologies to enhance breeding processes and fast-track seed discovery. Your key responsibilities will include providing expertise in quantitative genetics, genomics, and plant breeding, implementing genomic prediction analysis, developing tools and protocols, building models for germplasm characterization and SNP analysis, integrating new technologies into existing analytics pipelines, collaborating with breeders, data scientists, and software engineers, assessing and improving analytics capabilities, and partnering with IT to design and deploy scalable analytics solutions. To excel in this role, you should have a Doctorate in Genetics, Plant Breeding, or related fields, a strong foundation in quantitative genetics, genomics, and statistical modeling, experience with large datasets using Perl, Linux, Unix; C/C++ knowledge is a plus, proficiency in R, Python, Julia, knowledge of genomic selection and GWAS, familiarity with AI/ML algorithms for predictive breeding, understanding of agile methodologies and software quality assurance, strong communication skills, and awareness of agricultural R&D trends. Critical experience required includes applying data science in R&D environments, effective collaboration in multi-disciplinary teams, scientific achievements (publications, patents, etc.), end-to-end modeling from development to deployment, and working with IT to build and support analytics applications. Personal attributes such as passion for innovation in plant breeding and genetics, strong problem-solving and analytical skills, results-oriented with a collaborative mindset, ability to simplify complex concepts, and focus on impactful outcomes, as well as adaptability and cross-functional collaboration are essential. By joining Piatrika Biosystems, you will have the opportunity to bridge the gap between scientific research and commercial breeding, utilize AI/ML and genomic analytics to accelerate seed discovery, work on transformative projects, co-develop breeding solutions, and impact global agriculture and sustainability goals. Apply now to be a part of the innovation at Piatrika Biosystems.,

Summary Position Summary GenAI Engineer – CL4 Role Overview : As a GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI & engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities : Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support. Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team : US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications : A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc. 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc. Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 310665

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdue with accounts that have a high exposure. Job Description: Demonstrated leadership in designing sustainable software products, setting development standards, automated code review process, continuous build and rigorous testing etc Ability to effectively lead and communicate across 3rd parties, technical and business product managers on solution design Primary focus is spent writing code, API specs, conducting code reviews & testing in ongoing sprints or doing proof of concepts/automation tools Applies visualization and other techniques to fast track concepts Functions as a core member of an Agile team driving User story analysis & elaboration, design and development of software applications, testing & builds automation tools Works on a specific platform/product or as part of a dynamic resource pool assigned to projects based on demand and business priority Identifies opportunities to adopt innovative technologies Design, develop, and deploy scalable applications on the Google Cloud Platform using Java 8 & above. In-depth understanding of Google Cloud Platform services and architecture. Proficiency in developing and deploying applications on GCP using services such as Compute Engine, App Engine, Cloud Functions, Big Query, Cloud SQL, DataProc, Dataflow etc. Experience with containerization technologies such as Docker and Kubernetes is a plus. Awareness of best practices for cloud-based application development, ensuring security, reliability, and efficiency. Troubleshoot and resolve issues related to application performance and functionality on cloud Qualification: A bachelor’s degree in computer science, computer engineering, other technical discipline, or equivalent work experience 4+ years of experience in software development; 3-5 years in leading teams of engineers Demonstrated experience with Agile or other rapid application development methods Demonstrated experience with object-oriented design and coding Full-Stack development exposure Demonstrated experience on these core technical skills (Mandatory) Core Java, Spring Framework, Spring boot, Java EE Relational Database (Postgres / MySQL / DB2 etc) Data Serialization techniques (Ex: Avro) Cloud development (Micro-services) Parallel & distributed (multi-tiered) systems Application design, software development and automated testing Demonstrated experience on these additional technical skills (Nice to Have) Unix / Shell scripting GenNext languages: Python / Scala / Golang / Julia etc. Message Queuing, Stream processing (Kafka) AJAX tools/ Frameworks. Web services ,open API development, and REST concepts Experience with implementing integrated automated release management using tools/technologies/frameworks like Maven, Git, code/security review tools, Jenkins, Automated testing and Junit. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

The Tech Lead/Sr. Tech Lead - Design Automation and AI will work as part of a Research and Development team to architect and support the development of software tools and methodologies that automate the design process of Actuation Technologies products. You will be responsible for designing, implementing, and maintaining software tools and methodologies that enhance the efficiency and accuracy of the design process. The ideal candidate will possess a strong background in industrial products and expertise in AI technologies applied to industrial automation. Your responsibilities will include designing and implementing software tools and methodologies to automate the design process, debugging and troubleshooting to ensure compliance with design requirements, and developing documentation for these tools. Staying informed about industry trends in design automation is crucial to continuously improving the tools. Collaboration with cross-functional teams to identify automation opportunities and driving automation projects to completion will be essential. Providing technical support to stakeholders, maintaining technical specifications and design files, and offering training when necessary are also part of the role. Minimum qualifications for this position include a Bachelor's or Master's degree in Computer Science, Mechanical Engineering, or a related field. You should have at least 5 years of experience in industrial products, preferably with expertise in Engineered Products or custom design solutions. Advanced knowledge of AI/ML technologies as applied to industrial automation, as well as strong analytical, problem-solving, and communication skills, are required. The ability to work independently and lead multiple projects simultaneously, occasional travel, and willingness to continuously learn are also necessary. Preferred qualifications include hands-on programming skills with knowledge of languages like Python/Julia and CAD languages like LISP, excellent communication skills, experience with the latest AI technologies, and a background as a Data Analyst or Data Scientist. Experience with RPA tools like Blue Prism, CAD modeling specialization, working with software such as Solid Edge, Solid Works, or other CAD software, familiarity with agile development methodologies, problem-solving proficiency, and an analytical mindset are advantageous. By joining Emerson, you will have the opportunity to contribute meaningfully through your work. Emerson offers competitive compensation and benefits programs, comprehensive medical and insurance coverage, and a commitment to diversity, equity, and inclusion. Work Authorization Sponsorship is available for foreign nationals. The company fosters an inclusive environment where employees can develop and thrive, supported by ongoing development opportunities, a hybrid work setup for eligible roles, and a focus on safety across global facilities. Emerson aims to create an organization where employees are proud to be a part of, through benefits, development opportunities, and a safe and inclusive work environment.,

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes