65 Julia Jobs - Page 2

About Company Papigen is a fast-growing global technology services company, delivering innovative digital solutions through deep industry experience and cutting-edge expertise. We specialize in technology transformation, enterprise modernization, and dynamic areas like Cloud, Big Data, Java, React, DevOps, and more. Our client-centric approach combines consulting, engineering, and data science to help businesses evolve and scale efficiently. We support flexible engagement models including Time & Material, Staff Augmentation, and SoW-based Managed Services. About The Role We’re hiring a Senior Machine Learning Developer to join our data modernization and AI engineering team. In this role, you will design, develop, and deploy ML models and intelligent systems that drive next-gen financial insights. You will work with structured and unstructured data on a secure cloud-based infrastructure leveraging Azure ML , Python , and modern NLP/AI frameworks . Key Responsibilities Build, train, and implement ML/NLP models for classification, clustering, and text analysis Work with large-scale financial data and develop intelligent automation solutions Clean, normalize, and validate structured and unstructured datasets Build and consume REST APIs for ML services Integrate Azure AI services including Cognitive Services, OpenAI, and Form Recognizer Collaborate with cross-functional teams including DevOps, data engineers, and PMs Follow best practices in model versioning, testing, and deployment Document ML workflows and models for reproducibility and compliance Required Skills & Experience 6+ years of experience in software/data engineering, with 3+ years in ML/AI Strong Python expertise with libraries like Scikit-learn, Pandas, NumPy, etc. Experience with ML frameworks such as TensorFlow or PyTorch Experience building AI models for NLP tasks like classification, summarization, or entity extraction Familiarity with Azure AI/ML services (Azure ML Studio, Cognitive Services, AKS, Key Vault) Experience handling both structured and unstructured datasets REST API and Python library development Excellent communication and documentation skills Nice To Have Exposure to finance sector datasets or financial document automation Experience with Azure OpenAI, Azure Language Studio, or Chatbot frameworks Familiarity with statistical programming languages like R or Julia Microsoft Data or Azure AI/ML certifications Benefits And Perks Opportunity to work with leading global clients Flexible work arrangements with remote options Exposure to modern technology stacks and tools Supportive and collaborative team environment Continuous learning and career development opportunities Skills: machine learning,natural language processing (nlp),numpy,azure ml,data normalization,azure cognitive services,financial data,azure key vault,azure ml studio,rest apis,unstructured data,api development,openai,data cleansing,rest api,python,scikit-learn,aks,tensorflow,nlp,pandas,data engineering,azure ai,pytorch,statistical programming,text classification

Dear Candidate, We are hiring a Julia Developer to build computational and scientific applications requiring speed and mathematical accuracy. Ideal for domains like finance, engineering, or AI research. Key Responsibilities: Develop applications and models using the Julia programming language . Optimize for performance, parallelism, and numerical accuracy . Integrate with Python or C++ libraries where needed. Collaborate with data scientists and engineers on simulations and modeling. Maintain well-documented and reusable codebases. Required Skills & Qualifications: Proficient in Julia , with knowledge of multiple dispatch and type system Experience in numerical computing or scientific research Familiarity with Plots.jl, Flux.jl, or DataFrames.jl Understanding of Python, R, or MATLAB is a plus Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

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 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. 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

Company Description At JaDel Digital, we specialise in delivering end-to-end digital solutions that empower businesses to thrive in today’s technology-driven world. With expertise in web development, data science, machine learning, artificial intelligence, and Salesforce solutions, we transform visions into impactful results. Our mission is to simplify complex challenges through innovative, scalable, and optimized solutions that drive business growth. We offer a collaborative approach, focusing on measurable outcomes that align with our clients' business goals. Role Description We’re seeking a skilled Julia Developer to work 3–4 hours per day remotely. The focus will be on refining existing Julia code, improving structure, performance, and maintainability. You’ll collaborate with our data science and development teams to ensure clean, efficient, and well-documented implementations. Responsibilities Review and refactor existing Julia code Improve performance, readability, and modularity Debug issues and ensure code stability Maintain proper documentation and test coverage Work closely with the team to align improvements with project goals Requirements Proficiency in Julia programming Strong experience with code optimization and clean coding practices Familiarity with scientific computing, numerical methods, or data workflows Comfortable working independently in a part-time, remote setup Basic knowledge of Git and collaborative development workflows Preferred Skills Experience with Flux.jl, DataFrames.jl, or optimization libraries Familiarity with PyJulia or integrating Julia with Python Background in AI/ML or numerical simulation projects What We Offer Flexible, part-time remote engagement Compensation aligned with market standards Opportunity to work on real-world AI/data science projects Collaborative and tech-focused work environment Job Details Location: Remote (India preferred) Type: Contractual | Part-Time (3–4 hours/day) Compensation: As per market standards

Pharma experience is a must Job Title: GenAI (Director / Sr. Director) Job Location: - Noida / Gurgaon / Bangalore Job Overview: We are looking for a GenAI Leader with 12+ years of experience and a strong background in pharma/life sciences to join our team. As a key leader, you will drive innovation in the pharma commercial and clinical space by designing cutting-edge AI solutions, leading high-performing teams, and delivering impactful results. If you have a proven track record in Generative AI, hands-on experience with models like GPT, DALL-E, and Stable Diffusion, and a passion for mentoring and thought leadership, we want to hear from you! Must have skills & competencies Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients’ journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Proven experience in building and productizing GenAI app at an enterprise level Ensure profitable delivery and great customer experience – design the end-to-end solution, put together the right team and help them deliver as per established processes. Build an A team – hire the required skills sets and nurture them in a supporting environment to develop strong delivery leaders for the Data Science Practice. Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development. Write white papers, collaborate with academia and participate in relevant speaker opportunities to continuously upgrade learning & establish Axtria’s thought leadership in this space. Research, develop, evaluate and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation. Experience in leveraging APIs and SDKs for generative AI services from OpenAI, Anthropic, Cohere, and Google AI. Expertise in defining generative AI strategies, aligning them with business objectives, and implementing solutions for scalable deployment. Knowledge of real-world applications of generative AI, such as text generation, code generation, image generation, chatbots, and content creation. Awareness of ethical considerations in generative AI, including bias mitigation, data privacy, and safe deployment practices. Good to have skills & competencies Proven ability to collaborate with cross-functional teams, including product managers, data scientists, and DevOps engineers, to deliver end-to-end generative AI solutions. Proven experience in leading teams focused on generative AI projects, mentoring ML engineers, and driving innovation in AI applications. Possessing robust analytical skills to address and model intricate business needs is highly advantageous, especially for those with a background in life sciences or pharmaceuticals. Eligibility Criteria Masters/PhD in CSE/IT from Tier 1 institute Minimum 12+ years of relevant experience in building software applications in data and analytics field. We will provide– (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Delivering challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact on geographies Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility of relocating to any Axtria office for short and long-term projects Benefit package: -Health benefits -Retirement benefits -Paid time off -Flexible Benefits -Hybrid /FT Office/Remote Axtria is an equal-opportunity employer that values diversity and inclusiveness in the workplace. Who we are Axtria 14 years journey Axtria, Great Place to Work Life at Axtria Axtria Diversity

Summary Position Summary DT-US Product Engineering - Data Scientist Manager We are seeking an exceptional Data Scientist who combines deep expertise in AI/ML with a strong focus on data quality and advanced analytics. This role requires a proven track record in developing production-grade machine learning solutions, implementing robust data quality frameworks, and leveraging cutting-edge analytical tools to drive business transformation through data-driven insights . Work you will do The Data Scientist will be responsible for developing and implementing end-to-end AI/ML solutions while ensuring data quality excellence across all stages of the data lifecycle. This role requires extensive experience in modern data science platforms, AI frameworks, and analytical tools, with a focus on scalable and production-ready implementations. Project Leadership and Management: Lead complex data science initiatives utilizing Databricks, Dataiku, and modern AI/ML frameworks for end-to-end solution development Establish and maintain data quality frameworks and metrics across all stages of model development Design and implement data validation pipelines and quality control mechanisms for both structured and unstructured data Strategic Development: Develop and deploy advanced machine learning models, including deep learning and generative AI solutions Design and implement automated data quality monitoring systems and anomaly detection frameworks Create and maintain MLOps pipelines for model deployment, monitoring, and maintenance Team Mentoring and Development: Lead and mentor a team of data scientists and analysts, fostering a culture of technical excellence and continuous learning Develop and implement training programs to enhance team capabilities in emerging technologies and methodologies Establish performance metrics and career development pathways for team members Drive knowledge sharing initiatives and best practices across the organization Provide technical guidance and code reviews to ensure high-quality deliverables Data Quality and Governance: Establish data quality standards and best practices for data collection, preprocessing, and feature engineering Implement data validation frameworks and quality checks throughout the ML pipeline Design and maintain data documentation systems and metadata management processes Lead initiatives for data quality improvement and standardization across projects Technical Implementation: Design, develop and deploy end-to-end AI/ML solutions using modern frameworks including TensorFlow, PyTorch, scikit-learn, XGBoost for machine learning, BERT and GPT for NLP, and OpenCV for computer vision applications Architect and implement robust data processing pipelines leveraging enterprise platforms like Databricks, Apache Spark, Pandas for data transformation, Dataiku and Apache Airflow for ETL/ELT processes, and DVC for data version control Establish and maintain production-grade MLOps practices including model deployment, monitoring, A/B testing, and continuous integration/deployment pipelines Technical Expertise Requirements: Must Have: Enterprise AI/ML Platforms: Demonstrate mastery of Databricks for large-scale processing, with proven ability to architect solutions at scale Programming & Analysis: Advanced Python (NumPy, Pandas, scikit-learn), SQL, PySpark with production-level expertise Machine Learning: Deep expertise in TensorFlow or PyTorch, and scikit-learn with proven implementation experience Big Data Technologies: Advanced knowledge of Apache Spark, Databricks, and distributed computing architectures Cloud Platforms: Strong experience with at least one major cloud platform (AWS/Azure/GCP) and their ML services (SageMaker/Azure ML/Vertex AI) Data Processing & Analytics: Extensive experience with enterprise-grade data processing tools and ETL pipelines MLOps & Infrastructure: Proven experience in model deployment, monitoring, and maintaining production ML systems Data Quality: Experience implementing comprehensive data quality frameworks and validation systems Version Control & Collaboration: Strong proficiency with Git, JIRA, and collaborative development practices Database Systems: Expert-level knowledge of both SQL and NoSQL databases for large-scale data management Visualization Tools: Tableau, Power BI, Plotly, Seaborn Large Language Models: Experience with GPT, BERT, LLaMA, and fine-tuning methodologies Good to Have: Additional Programming: R, Julia Additional Big Data: Hadoop, Hive, Apache Kafka Multi-Cloud: Experience across AWS, Azure, and GCP platforms Advanced Analytics: Dataiku, H2O.ai Additional MLOps: MLflow, Kubeflow, DVC (Data Version Control) Data Quality & Validation: Great Expectations, Deequ, Apache Griffin Business Intelligence: SAP HANA, SAP Business Objects, SAP BW Specialized Databases: Cassandra, MongoDB, Neo4j Container Orchestration: Kubernetes, Docker Additional Collaboration Tools: Confluence, BitBucket Education: Advanced degree in quantitative discipline (Statistics, Math, Computer Science, Engineering) or relevant experience. Qualifications: 10-13 years of experience with data mining, statistical modeling tools and underlying algorithms. 5+ years of experience with data analysis software for large scale analysis of structured and unstructured data. Proven track record of leading and delivering large-scale machine learning projects, including production model deployment, data quality framework implementation and experience with very large datasets to create data-driven insights thru predictive and prescriptive analytic models. E xtensive knowledge of supervised and unsupervised analytic modeling techniques such as linear and logistic regression, support vector machines, decision trees / random forests, Naïve-Bayesian, neural networks, association rules, text mining, and k-nearest neighbors among other clustering models. Extensive experience with deep learning frameworks, automated ML platforms, data processing tools (Databricks Delta Lake, Apache Spark), analytics platforms (Tableau, Power BI), and major cloud providers (AWS, Azure, GCP) Experience architecting and implementing enterprise-grade solutions using cloud-native ML services while ensuring cost optimization and performance efficiency Strong track record of team leadership, stakeholder management, and driving technical excellence across multiple concurrent projects Expert-level proficiency in Python, R, and SQL, with deep understanding of statistical analysis, hypothesis testing, feature engineering, model evaluation, and validation techniques in production environments Demonstrated leadership experience in implementing MLOps practices, including model monitoring, A/B testing frameworks, and maintaining production ML systems at scale. Working knowledge of supervised and unsupervised learning techniques, such as Regression/Generalized Linear Models, decision tree analysis, boosting and bagging, Principal Components Analysis, and clustering methods. Strong oral and written communication skills, including presentation skills The Team Information Technology Services (ITS) helps power Deloitte’s success. ITS drives Deloitte, which serves many of the world’s largest, most respected organizations. 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. The ~3,000 professionals in ITS deliver services including: Security, risk & compliance Technology support Infrastructure Applications Relationship management Strategy Deployment PMO Financials Communications Product Engineering (PxE) Product Engineering (PxE) team is the internal software and applications development team responsible for delivering leading-edge technologies to Deloitte professionals. Their broad portfolio includes web and mobile productivity tools that empower our people to log expenses, enter timesheets, book travel and more, anywhere, anytime. PxE enables our client service professionals through a comprehensive suite of applications across the business lines. In addition to application delivery, PxE offers full-scale design services, a robust mobile portfolio, cutting-edge analytics, and innovative custom development. Work Location: Hyderabad 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: 303069 Show more Show less

Job Overview We are looking for a dynamic and innovative Full Stack Data Scientist with 2+ years of experience who excels in end-to-end data science solutions. The ideal candidate is a tech-savvy professional passionate about leveraging data to solve complex problems, develop predictive models, and drive business impact in the MarTech domain. Key Responsibilities 1. Data Engineering & Preprocessing Collect, clean, and preprocess structured and unstructured data from various sources. Perform advanced feature engineering, outlier detection, and data transformation. Collaborate with data engineers to ensure seamless data pipeline development. 2. Machine Learning Model Development Design, train, and validate machine learning models (supervised, unsupervised, deep learning). Optimize models for business KPIs such as accuracy, recall, and precision. Innovate with advanced algorithms tailored to marketing technologies. 3. Full Stack Development Build production-grade APIs for model deployment using frameworks like Flask, FastAPI, or Django. Develop scalable and modular code for data processing and ML integration. 4. Deployment & Operationalization Deploy models on cloud platforms (AWS, Azure, or GCP) using tools like Docker and Kubernetes. Implement continuous monitoring, logging, and retraining strategies for deployed models. 5. Insight Visualization & Communication Create visually compelling dashboards and reports using Tableau, Power BI, or similar tools. Present insights and actionable recommendations to stakeholders effectively. 6. Collaboration & Teamwork Work closely with marketing analysts, product managers, and engineering teams to solve business challenges. Foster a collaborative environment that encourages innovation and shared learning. 7. Continuous Learning & Innovation Stay updated on the latest trends in AI/ML, especially in marketing automation and analytics. Identify new opportunities for leveraging data science in MarTech solutions. Qualifications Educational Background Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Technical Skills Programming Languages: Python (must-have), R, or Julia; familiarity with Java or C++ is a plus. ML Frameworks: TensorFlow, PyTorch, Scikit-learn, or XGBoost. Big Data Tools: Spark, Hadoop, or Kafka. Cloud Platforms: AWS, Azure, or GCP for model deployment and data pipelines. Databases: Expertise in SQL and NoSQL (e.g., MongoDB, Cassandra). Visualization: Mastery of Tableau, Power BI, Plotly, or D3.js. Version Control: Proficiency with Git for collaborative coding. Experience 2+ years of hands-on experience in data science, machine learning, and software engineering. Proven expertise in deploying machine learning models in production environments. Experience in handling large datasets and implementing big data technologies. Soft Skills Strong problem-solving and analytical thinking. Excellent communication and storytelling skills for technical and non-technical audiences. Ability to work collaboratively in diverse and cross-functional teams. Preferred Qualifications Experience with Natural Language Processing (NLP) and Computer Vision (CV). Familiarity with CI/CD pipelines and DevOps for ML workflows. Exposure to Agile project management methodologies. Why Join Us? Opportunity to work on innovative projects with cutting-edge technologies. Collaborative and inclusive work environment that values creativity and growth. If you're passionate about turning data into actionable insights and driving impactful business decisions, we’d love to hear from you! Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Monday to Friday Experience: Data science: 2 years (Required) Location: Gurugram, Haryana (Preferred) Work Location: In person

About The Company JuliaHub's mission is to develop products that bring Julia's superpowers to its customers. JuliaHub's flagship product is JuliaHub, a secure, cloud based, software-as-a-service platform for developing Julia programs, deploying them, and scaling to thousands of nodes. JuliaHub was founded in 2015 by the creators of the Julia programming language for artificial intelligence, machine learning, analytics, data science, modeling, and simulation. About The Role We are seeking a creative and detail-oriented Web Developer to join our team and play a key role in supporting the marketing team. You will be responsible for bringing marketing content, campaigns, and digital experiences to life on our website. This role requires a strong blend of technical expertise and an eye for design, ensuring a seamless user experience that aligns with brand and business goals. Key Responsibilities Develop and maintain web pages, landing pages, and content sections based on marketing needs. Collaborate with the marketing team to implement content updates, design changes, and campaign-specific web features. Optimize website performance, SEO, and accessibility. Ensure the website is responsive, user-friendly, and aligned with the latest web standards. Troubleshoot and resolve website issues or bugs quickly. Key Requirements Bachelors degree in Computer Science, Web Development, or a related field. 3+ years of experience in web development, preferably in a marketing-focused environment. Proficiency in HTML, CSS, and JavaScript. Hands-on experience with content management systems (CMS), with a strong preference for HubSpot CMS. Proficient in deploying, managing, and maintaining websites using a CMS, ideally HubSpot. Strong technical skills in resolving SEO errors flagged by tools such as Semrush (e., broken links, missing tags, crawl issues, site speed optimization). Ability to implement structured data, canonical tags, XML sitemaps, and other technical SEO elements. Working knowledge of web analytics tools such as Google Analytics 4 (GA4) and Google Tag Manager (GTM), with the ability to implement and troubleshoot tracking scripts. Understanding of UI/UX principles and responsive design. Strong attention to detail, time management, and communication skills. Ability to work collaboratively with cross-functional teams. Inside Our Culture Were more than just a startupwere a hub of innovation where cutting-edge technology meets a high-growth mindset. As part of our team, you'll be working on challenging, impactful projects that push the boundaries of whats possible. Unlimited Learning & Development : Dive into hands-on projects with the latest technology stacks, collaborating with a global team of technical experts. We offer continuous learning opportunities, including workshops, mentorship, and access to courses and certifications to fuel your professional growth. Innovate & Build at Scale : We are tackling some of the most complex technical challenges in the industry. As a part of our highly skilled, diverse team, you'll have the autonomy to experiment, innovate, and help shape the future of technology. Ownership & Impact : At our fast-growing startup, youll have the opportunity to take ownership of products and features that directly impact the business and our customers. Your contributions will be recognized and rewarded. Uncapped Sick Leaves (TRUST Policy) : With our TRUST policy, you can take unlimited sick leaves year-round, no questions asked. We prioritize your well-being and trust you to manage your time responsibly. Top-Tier Compensation & Equity : Along with a competitive salary, we offer equity options, giving you the chance to share in the success of the company as we grow. Health & Wellness Support : We provide company-sponsored health and wellness benefits, along with retirement plans to secure your future. Join us and be a part of a technical powerhouse where growth, innovation, and impact are at the core of everything we do! (ref:hirist.tech) Show more Show less

Position Summary... What you'll do... About Team: This is the team which builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. We also optimize tariffs and assortment, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalog management, order fulfilment, return ; refund management. Our team is responsible for design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data ; AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions. What you'll do: As a Data Scientist for Walmart , you'll have the opportunity to Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms for replication for future projects Communicate recommendations to business partners and influencing future plans based on insights What you'll bring: Very good knowledge of the foundations of machine learning and statistics Hand on Experience in building and maintaining Gen AI powered solutions in production Experience in Analyzing the Complex Problems and translate it into data science algorithms Experience in machine learning, supervised and unsupervised and deep learning. Hands on experience in Computer Visions and NLP. Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data Strong Experience in Python with excellent knowledge of Data Structures Strong Experience with big data platforms Hadoop (Hive, Pig, Map Reduce, HQL, Scala, Spark) Hands on experience with Git Experience with SQL and relational databases, data warehouse Qualifications Bachelors with > 7 years of experience / Masters degree with > 5 years of experience. Educational qualifications should be preferably in Computer Science/Mathematics/Statistics or a related area. Experience should be relevant to the role. Good to have: Experience in ecommerce domain. Experience in R and Julia Demonstrated success in data science platforms like Kaggle. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is ''everyone included.'' By fostering a workplace culture where everyone isand feelsincluded, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... 4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2146190 Show more Show less

Space Mechanics Coding Expert (Volunteer Position) | Talisha Aerospace Location: Remote | Commitment: Flexible | Compensation: Unpaid (Founding Volunteer Role) Company: Talisha Aerospace – Building the Future of Reusable Rocket Technology Are you passionate about space exploration and advanced propulsion systems? Do you dream of contributing to breakthrough innovations in orbital mechanics and reusable rockets? Talisha Aerospace invites you to become a part of a bold new journey — not just to space, but to redefine how we get there. 🌌 About Us We are Talisha Aerospace, a newly formed aerospace startup with an ambitious mission: to design and develop reusable rocket technology that transforms access to space. Though we are in our early stages, our focus is razor-sharp, our passion unshakable, and our roadmap firmly aligned with solving real engineering challenges in orbital dynamics, propulsion systems, and reusability. This is a volunteer role — ideal for professionals, researchers, or enthusiasts who want to leave a legacy in the next era of spaceflight. 🔭 Role Overview We are looking for a Space Mechanics Coding Expert to join our core technical team. This is a rare opportunity to apply your knowledge of orbital mechanics, astrodynamics, and numerical simulation in a mission that could change the course of aerospace history. You'll work on the algorithms, models, and simulation environments that govern spacecraft behavior — from launch to landing and beyond. 🛰 Responsibilities Develop and implement algorithms for orbital dynamics, trajectory optimization, and re-entry simulation Write robust and scalable code (e.g., in Python, MATLAB, C++, or Julia) Build simulation tools for rocket staging, attitude control, and fuel optimization Collaborate with propulsion, avionics, and structural engineers Integrate space mechanics calculations into broader system design tools Contribute to research and documentation as part of the core team 🧠 Ideal Background Strong foundation in orbital mechanics, astrodynamics, and space systems engineering Proficiency in scientific programming (Python, C++, MATLAB, or similar) Familiarity with numerical methods, Kalman filtering, and simulation environments Experience with aerospace toolkits (e.g., GMAT, STK, Orekit) is a bonus Excellent problem-solving skills and a collaborative mindset Prior experience in academic or research projects in aerospace or related fields 💡 Why Join Talisha Aerospace? Be part of a pioneering mission that aims to make spaceflight more sustainable and accessible Work alongside passionate innovators and engineers who believe in open collaboration Help shape the technical foundation of a future-defining aerospace company Gain experience and visibility that could become part of your legacy in the space industry 🌍 Important Note This is currently an unpaid volunteer role. We are transparent about this — as a bootstrapped startup, we are not funded (yet). But we're not looking for employees right now; we're looking for founding visionaries who believe in what we’re building and are ready to help lay the groundwork. Your contributions could be instrumental in attracting funding, accelerating development, and establishing Talisha Aerospace as a force in the new space economy. Ready to launch with us? Send us your resume, portfolio, or just a short note on why you want to be part of Talisha Aerospace. 🌠 Let's build rockets that come back — and a future that goes forward. Show more Show less

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients’ journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation.

Job Description REMOTE OPPORTUNITY!!!!!!!! Client: Technology GCC for Global Biotech Company 2+ years of relevant experience in instrument pipeline development 2+ years of experience writing and executing Test Scripts to challenge business and functional requirements 2+ years of experience working in a collaborative team environment including both IT and business personnel minor experience in performing business analysis User Support Application Support Software Design and Development Python,LabVIEW, C++,Julia Public instrument schemas and models Debugging Source Code Scripting Configuration Management Waterfall and Agile Methodology Research and Development / Technical Development Lab Support Integration and System Testing Knowledge and Understanding of 21 CFR Part 11 and Data Integrity Strong Interpersonal, Verbal and Written Communication Exceptional Analytical, Problem-Solving, and Troubleshooting Abilities

Job Description Responsibilities : Identify relevant data sources - a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data, leveraging NLP techniques for text data. Handle large amounts of information to create the input for analytical models, incorporating Gen AI for advanced data processing and generation. Build predictive models, machine learning, and deep learning algorithms; innovate with Gen AI applications in model development. Build network graphs, apply NLP techniques for text analysis, and design forecasting models while building data pipelines for end-to-end solutions. Propose solutions and strategies to address business challenges, integrating Gen AI and NLP in practical applications. Collaborate with product development teams and communicate with Senior Leadership teams. Participate in problem-solving sessions, leveraging NLP and Gen AI for innovative solutions. Requirements Bachelor's degree in a highly quantitative field (e., Computer Science, Engineering, Physics,Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI andNatural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, namedentity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Deep Learning (DL), Algorithms, Computer Science & Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence (AI), ERP Systems, Product Management, Automation, Analytical Models, Predictive Models, Natural Language Processing (NLP), Gen AI, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Algebra, Data Science, Programming Languages: Python, Julia (ref:hirist.tech) Show more Show less

Job Summary We are seeking a highly skilled and experienced Senior Data Scientist with a strong focus on Generative AI and Natural Language Processing (NLP) to join our growing team. You will play a crucial role in developing and implementing cutting-edge AI/ML solutions, leveraging your expertise in generative models, NLP, and deep learning to solve complex business challenges. This role requires a deep understanding of advanced statistical and machine learning techniques, excellent communication skills, and the ability to collaborate effectively with product development and leadership teams. Experience in a startup environment is a plus. Key Responsibilities Data Acquisition & Automation : Identify relevant data sources and build automated data collection processes. Data Preprocessing : Preprocess structured and unstructured data to prepare it for model training and analysis. Model Development : Develop and innovate machine learning and deep learning algorithms, including generative AI models, NLP models, forecasting models, and network graphs. Model Building : Build predictive models, machine learning algorithms, and data pipelines for end-to-end solutions. Problem Solving : Propose data-driven solutions and strategies to address business challenges. Collaboration & Communication : Collaborate effectively with product development teams and communicate technical information clearly to senior leadership teams. Problem-Solving Sessions : Participate actively in problem-solving sessions, contributing your expertise and insights. Required Technical Skills Generative AI : Extensive background in generative AI algorithms and deep understanding of generative models. NLP : Deep understanding of NLP algorithms, techniques, and applications. Deep Learning : Strong knowledge of deep learning architectures and frameworks. Machine Learning : Solid foundation in machine learning algorithms, including supervised, unsupervised, and reinforcement learning. Statistical Modeling : Strong mathematical and statistical skills, including algebra and statistical modeling. Programming Languages : Fluency in at least one data science/analytics programming language (Python, R, Julia). Python is highly preferred. Data Pipeline Development : Experience building data pipelines for end-to-end solutions. Preferred Skills Cloud Computing : Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services. Data Visualization : Experience with data visualization tools (i., Tableau, Power BI). Big Data Technologies : Knowledge of big data technologies (i., Spark, Hadoop). Required Experience & Qualifications Education : Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research, or equivalent experience). Experience 5-6years of advanced analytics experience, preferably in startups or marquee companies. Startup experience is a plus. Personal Attributes Strong problem-solving and analytical skills. Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly. Ability to work independently and as part of a team. Proactive, self-motivated, and results-oriented. Passion for AI/ML and its potential to solve real-world problems (ref:hirist.tech) Show more Show less

Job Title : Data Scientist- Lead Location : Bangalore, Pune, Mumbai, Kolkata Experience : 5 to 14 Years About Prismforce Prismforce is a Vertical SaaS company revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Our AI-powered product suite enhances business performance by enabling operational flexibility, accelerating decision-making, and boosting profitability. Our mission is to become the leading industry cloud/SaaS platform for tech services and talent organizations worldwide. Responsibilities Identify relevant data sources a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data. Handle large amounts of information to create the input to analytical Models. Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms. Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions. Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams. Participate in Problem solving sessions Requirements Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Machine Learning, Deep Learning, Algorithms Computer Science, Engineering, Operations Research Math Skills, Communication Skills, SAAS Product, IT Services Artificial Intelligence, ERP Product Management, Automation, Analytical Models Predictive Models, NLP What Makes Us Unique First-Mover Advantage : We are the only Vertical SaaS product company addressing Talent Supply Chain challenges in the IT services industry. Innovative Product Suite : Our solutions offer forward-thinking features that outshine traditional ERP systems. Strategic Expertise : Guided by an advisory board of ex-CXOs from top global IT firms, providing unmatched industry insights. Experienced Leadership : Our founding team brings deep expertise from leading firms like McKinsey, Deloitte, Amazon, Infosys, TCS, and Uber. Diverse and Growing Team : We have grown to 160+ employees across India, with hubs in Mumbai, Pune, Bangalore, and Kolkata. Strong Financial Backing : Series A-funded by Sequoia, with global IT companies using our product as a core solution. Why Join Prismforce Competitive Compensation : We offer an attractive salary and benefits package that rewards your contributions. Innovative Projects : Work on pioneering projects with cutting-edge technologies transforming the Talent Supply Chain. Collaborative Environment : Thrive in a dynamic, inclusive culture that values teamwork and innovation. Growth Opportunities : Continuous learning and development are core to our philosophy, helping you advance your career. Flexible Work : Enjoy flexible work arrangements that balance your work-life needs. By joining Prismforce, you'll become part of a rapidly expanding, innovative company that's reshaping the future of tech services and talent management. Perks & Benefits Work with the best in the industry: Work with a high-pedigree leadership team that will challenge you, build on your strengths and invest in your personal development Insurance Coverage-Group Mediclaim cover for self, spouse, kids and parents & Group Term Life Insurance Policy for self. Flexible Policies Retiral Benefits Hybrid Work Model Self-driven career progression tool Attractive ESOPs (ref:hirist.tech) Show more Show less

Responsibilities Identify relevant data sources a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data. Handle large amounts of information to create the input to analytical Models. Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms. Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions. Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams. Participate in Problem solving sessions Requirements Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Machine Learning, Deep Learning, Algorithms Computer Science, Engineering, Operations Research Math Skills, Communication Skills, SAAS Product, IT Services Artificial Intelligence, ERP Product Management, Automation, Analytical Models Predictive Models, NLP (ref:hirist.tech) Show more Show less

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. How will you make an impact in this role? We are looking for energetic, high-performing and highly skilled Java Full Stack Engineers with some GCP Cloud experience to help shape our technology and product roadmap. You will be part of the fast-paced, entrepreneurial Enterprise Personalization portfolio focused on delivering the next generation global marketing capabilities. This team is responsible for building products that power Merchant Offers personalization for Amex card members. 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 7+ 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. Show more Show less

Ihre Aufgaben Kundenakquise & Beratung Als Vertriebsexperte (m/w/d) für die Region Berlin/ Brandenburg gewinnen und begeistern Sie neue sowie bestehende Kunden, auch durch eine entsprechende technische Beratung zu spezifischen Verarbeitungssituationen und Bauobjekten Fachliche Kundenberatung Sie betreuen unterschiedliche Baustofffachhandelsstandorte sowie Fliesenfachhändler und beraten verarbeitende Unternehmen aus dem Bereich Fliesen- und Natursteinverlegung Ausrichtung Die Definition der Schwerpunkte der Marktbearbeitung innerhalb Ihres Gebietes und die Definition der Fokuskunden liegt in Ihrem Aufgabengebiet Realisierung von Kundenpotential Sie erfassen stetig die Potentiale ihrer Bestands- und Neukunden und arbeiten kontinuierlich an deren Ausschöpfung Zukunftsorientierung Durch die zielgerichtete Entwicklung und Umsetzung strategischer Initiativen zur Kundenentwicklung gestalten Sie eine zukunftsorientierte Ausrichtung unseres Vertriebs und beschleunigen das Wachstum unserer Geschäftspartner Einsatzort Vollständig im Homeoffice Eintrittsdatum baldmöglichst Ihr Profil Begeisterung Sie haben eine sehr große Leidenschaft für Vertrieb bei unterschiedlichsten Zielgruppen aus dem Bereich der Fliesenbauchemie (verarbeitende Unternehmen sowie Bausstofffachhandel) Berufserfahrung Sie verfügen über fundierte Marktkenntnisse in der Baustoffbranche, insbesondere im Bereich der Fliesenbauchemie CRM-Erfahrung Erfahrungen im Umgang mit einem CRM-System, vorzugsweise Salesforce, bringen Sie mit Ausdauer Sie haben eine hohe Ausdauer, um durch kontinuierliche Bearbeitung neue Kunden zu gewinnen und zeichnen sich durch eine starke Kundenorientierung aus Arbeitsweise Eine Hands-on-Mentalität, gutes Selbst- und Zeitmanagement sowie Verhandlungsgeschick runden Ihr Profil ab SAKRET Bausysteme als Arbeitgeber SAKRET Bausysteme ist mit ca. 200 Mitarbeiterinnen und Mitarbeitern ein führender Hersteller von abgestimmten Systemlösungen für die Bereiche GaLaBau, Fliesen- und Natursteinverlegung, Betoninstandsetzung, Technische Mörtel und Fassade/Mauerwerk in Deutschland. Wir Bieten Ihnen Sicherheit Unbefristeter Arbeitsvertrag in einem stabilen, erfolgreichen Familienunternehmen Übertarifliche Bezahlung Ein Mehr an Sonderzahlungen verbunden mit einer transparenten und realistischen Prämien- und Bonusregelung im Vertrieb Flexibilität Selbständige und eigenverantwortliche Gestaltung der Außendiensttätigkeit mit 30 Tagen Urlaub Sicherheit im Außendienst Volle Sicherheits- und Arbeitsausstattung für die Außendiensteinsätze Tägliche Zeitersparnis Firmenwagen und 100% Mobile Office-Regelung im Außendienst Zukunftsplanung Zuschuss zu vermögenswirksamen Leistungen und Angebote zur betrieblichen Altersvorsorge Feel Welcome Individuelle Onboarding-Days, Unternehmens- und Teamevents Karriere- und Laufbahnentwicklung Individuelle Unterstützung und Förderung bei berufsbegleitendem Studium, Weiterbildungen und Schulungen Benefits und Voucher Vergünstigungen bei bekannten Marken sowie rabattierter Mitarbeitereinkauf Wir freuen uns auf Ihre aussagekräftigen Bewerbungsunterlagen mit Angaben zu Ihren Gehaltsvorstellungen und dem möglichen Eintrittstermin. Frau Julia Moik Persönliche Ansprechpartnerin E-Mail: julia.moik@knauf.com hier bewerben Show more Show less

Requisition ID: 93622 Job Category: Engineering Location: Gurugram, Haryana, India Join a company that is passionately committed to the pursuit of a better world through positive change. With more than 65 years of business and technical expertise in mining , energy , and infrastructure , our 10,000 colleagues in 150 countries tirelessly work toward bettering the industries in which we operate. With practical solutions that are safe, innovative and sustainable, we think globally while acting locally. Join our Project Delivery Group (PDG), a dynamic team of professionals passionately committed to world-class project delivery across the globe. With expertise in sustainable studies, asset building and operations, and industry-leading efficiencies, our best-in-class team leverages methodologies, governance and systems that are unparalleled in the engineering space. Are you looking for an opportunity to join a diverse group of professionals who are committed to remaining exceptional? We look forward to hearing from you. The global energy transition is upon us. As we shift to a low carbon world, meeting the growing demand for energy will require revolutionary thinking and a variety of resources. While the market is challenging, these challenges present the biggest opportunities and catalysts for change. The Energy group partners with clients to provide comprehensive plans that incorporate all aspects of their projects. Our energy expertise in the oil and gas sector comprises the entire value chainupstream, midstream, and downstream; and in the power sector includes thermal, nuclear, waterpower, renewable, hybrid, transmission and distribution, and grid modernization. Join our team today and help make a difference! Our team is seeking a Power Systems Planning Engineer . The incumbent of this position is required to work within focused study teams and multi-disciplinary teams involved in integrated power system plans, transmission and distribution system plans, pre-feasibility/feasibility/system impact assessment, and system performance studies for both AC and DC project developments and generation/load connections. They will coordinate all planning activities and those of their teams to maintain project schedules and ensure successful project completion. The person will perform the duties in accordance with all applicable codes and standards, including all of Hatchs policies and procedures, such as Safety, Environmental and Quality Assurance. The incumbent should be familiar with policies, guidelines, regulations, rules, requirements, and criteria as applicable to grid performance, transmission planning, and interconnection, especially to bulk power systems. The position will be based in India, out of the Gurugram office . Requirements Responsibilities and Qualifications Experience in utility/system operator transmission planning Lead projects and mentor engineers in the performance of transmission planning studies, such as load flow, short-circuit, transient stability, electromagnetic transient, and/or small-signal stability analysis. Lead preparation of comprehensive reports on the conduct of the studies, the study results and appropriate conclusions and recommendations Review of planning/system performance studies for compliance with prevailing standards and criteria and good engineering practice Lead interaction with clients and manage projects. Support business development activities Preparation of functional specifications for facility requirements related to different system development portfolios, for purposes of developing preliminary designs and obtaining estimates for the associated facilities. Undertake thought leadership activities (e.g., speaker at conference, panelist, whitepaper, etc.) and promote Hatch’s know-how in the Power and T&D sector in the region. BS degree in Electrical Engineering; post-graduate (MS or PhD) degrees in Power Systems. At least 5 years of experience in transmission planning with strong knowledge of transmission planning practices and procedures. Proficient in power flow, short-circuit, and transient stability simulation analysis, using software packages such as PSS®E, PSLF, PowerWorld, DSA Tools, etc., including modules for load flow, short-circuit, and transient stability analysis. High level of interpersonal communication skills. Preferred Proficiency in electromagnetic transients (EMT) analysis using software packages such as PSCAD, EMTP-RV, etc. Knowledge of control theory, dynamic modeling, and numerical methods. Knowledge of programming languages such as Python, C, C++, FORTRAN, MATLAB, Julia, etc. Experience with Simulink is preferred. Knowledge of additional power systems analysis software applications is desirable. Registration with IEEE, CIGRE, and/or other applicable engineering associations is desirable. Why join us? Work with great people to make a difference Collaborate on exciting projects to develop innovative solutions Top employer What we offer you? Flexible work environment Long term career development Think globally, work locally Don't meet every single requirement? You don't need to. At Hatch, we are building a diverse, inclusive workplace that fosters innovation. If you're interested in this role, we encourage you to apply even if your past experiences don't perfectly align with the skills we've listed. We're committed to fostering a workforce that reflects the diversity of the communities in which we operate and serve. Hatch is an Equal Opportunity Employer that considers applicants without regard to age, race, color, national origin, citizenship, religion, creed, gender, sexual orientation, marital status, disability, veteran, or any other protected status. If you have any accommodation requirements, please let us know. We'll do our best to meet your needs in accordance with applicable local legislation. Show more Show less

About the company: JuliaHub's mission is to develop products that bring Julia's superpowers to its customers. JuliaHub's flagship product is JuliaHub, a secure, cloud based, software-as-a-service platform for developing Julia programs, deploying them, and scaling to thousands of nodes. JuliaHub was founded in 2015 by the creators of the Julia programming language for artificial intelligence, machine learning, analytics, data science, modeling, and simulation. About the role: We are seeking a creative and detail-oriented Web Developer to join our team and play a key role in supporting the marketing team. You will be responsible for bringing marketing content, campaigns, and digital experiences to life on our website. This role requires a strong blend of technical expertise and an eye for design, ensuring a seamless user experience that aligns with brand and business goals. Key Responsibilities: Develop and maintain web pages, landing pages, and content sections based on marketing needs. Collaborate with the marketing team to implement content updates, design changes, and campaign-specific web features. Optimize website performance, SEO, and accessibility. Ensure the website is responsive, user-friendly, and aligned with the latest web standards. Troubleshoot and resolve website issues or bugs quickly. Key Requirements: Bachelor’s degree in Computer Science, Web Development, or a related field. 3+ years of experience in web development, preferably in a marketing-focused environment. Proficiency in HTML, CSS, and JavaScript. Hands-on experience with content management systems (CMS), with a strong preference for HubSpot CMS. Proficient in deploying, managing, and maintaining websites using a CMS, ideally HubSpot. Strong technical skills in resolving SEO errors flagged by tools such as Semrush (e.g., broken links, missing tags, crawl issues, site speed optimization). Ability to implement structured data, canonical tags, XML sitemaps, and other technical SEO elements. Working knowledge of web analytics tools such as Google Analytics 4 (GA4) and Google Tag Manager (GTM), with the ability to implement and troubleshoot tracking scripts. Understanding of UI/UX principles and responsive design. Strong attention to detail, time management, and communication skills. Ability to work collaboratively with cross-functional teams. Inside Our Culture: We’re more than just a startup—we’re a hub of innovation where cutting-edge technology meets a high-growth mindset. As part of our team, you'll be working on challenging, impactful projects that push the boundaries of what’s possible. Unlimited Learning & Development: Dive into hands-on projects with the latest technology stacks, collaborating with a global team of technical experts. We offer continuous learning opportunities, including workshops, mentorship, and access to courses and certifications to fuel your professional growth. Innovate & Build at Scale: We are tackling some of the most complex technical challenges in the industry. As a part of our highly skilled, diverse team, you'll have the autonomy to experiment, innovate, and help shape the future of technology. Ownership & Impact: At our fast-growing startup, you’ll have the opportunity to take ownership of products and features that directly impact the business and our customers. Your contributions will be recognized and rewarded. Uncapped Sick Leaves (TRUST Policy): With our TRUST policy, you can take unlimited sick leaves year-round, no questions asked. We prioritize your well-being and trust you to manage your time responsibly. Top-Tier Compensation & Equity: Along with a competitive salary, we offer equity options, giving you the chance to share in the success of the company as we grow. Health & Wellness Support: We provide company-sponsored health and wellness benefits, along with retirement plans to secure your future. Join us and be a part of a technical powerhouse where growth, innovation, and impact are at the core of everything we do! Show more Show less

Ihre Aufgaben Kundenaufträge Sie übernehmen die Verantwortung für die komplette Abwicklung von Kundenaufträgen – von der Annahme bis zur Erfassung in SAP R/3 Koordination von Streckenaufträgen Die Koordination und Nachverfolgung von Streckenaufträgen liegt in Ihren Händen, bis alles erfolgreich abgeschlossen ist Kundenorientierung Mit einer kundenorientierten Terminplanung und -überwachung sorgen Sie für eine reibungslose Abwicklung Dokumentation von Reklamationen Reklamationen werden sorgfältig in Salesforce und im AMM-System erfasst und bearbeitet Effektive Kommunikation Als zentrale Schnittstelle zwischen unserem Unternehmen, Kunden und Lieferanten stellen Sie eine effektive Kommunikation und Zusammenarbeit sicher Flexible Unterstützung Durch Ihre flexible Unterstützung im gesamten Auftragsmanagementteam tragen Sie aktiv zu einem erfolgreichen Teamwork bei Einsatzort Standort Dortmund Eintrittsdatum baldmöglichst Ihr Profil Ausbildung Sie haben eine erfolgreich abgeschlossene kaufmännische Ausbildung und bringen idealerweise Berufserfahrung im vertriebsnahen Bereich mit SAP & Microsoft Office Der sichere Umgang mit Microsoft Office sowie fundierte SAP-Kenntnisse zeichnen Sie aus Arbeitsweise Sie überzeugen durch Ihre Kommunikationsstärke, Gewissenhaftigkeit und Ihren ausgeprägten Teamgeist Flexibilität und Verantwortung Flexibilität und Verantwortungsbewusstsein gehören zu Ihren Stärken und runden Ihr Profil ab SAKRET Bausysteme als Arbeitgeber SAKRET Bausysteme ist mit ca. 200 Mitarbeiterinnen und Mitarbeitern ein führender Hersteller von abgestimmten Systemlösungen für die Bereiche GaLaBau, Fliesen- und Natursteinverlegung, Betoninstandsetzung, Technische Mörtel und Fassade/Mauerwerk in Deutschland. Wir Bieten Ihnen Sicherheit Arbeitsvertrag in einem stabilen, erfolgreichen Familienunternehmen Flexibilität 30 Tage Urlaub, Sonderurlaub für bestimmte Anlässe Tägliche Zeitersparnis Ausreichend Parkplätze und Zugang zum ÖPNV (Zug, Bus) Zukunftsplanung Zuschuss zu vermögenswirksamen Leistungen Karriere- und Laufbahnentwicklung Individuelle Unterstützung und Förderung bei Weiterbildungen und Schulungen Benefits und Voucher Vergünstigungen bei bekannten Marken sowie rabattierter Mitarbeitereinkauf Wir freuen uns auf Ihre aussagekräftigen Bewerbungsunterlagen mit Angaben zu Ihren Gehaltsvorstellungen und dem möglichen Eintrittstermin. Frau Julia Moik Persönliche Ansprechpartnerin E-Mail: julia.moik@knauf.com hier bewerben Show more Show less

The candidate should have experience in AI Development including experience in developing, deploying, and optimizing AI and Generative AI solutions. The ideal candidate will have a strong technical background, hands-on experience with modern AI tools and platforms, and a proven ability to build innovative applications that leverage advanced AI techniques. You will work collaboratively with cross-functional teams to deliver AI-driven products and services that meet business needs and delight end-users. Job Duties and Responsibilities: Define and maintain project plans, schedule, requirements, document for product deliverables. Define project scope, deliverables, roles, and responsibilities in collaboration with Product Owner and stakeholders as per defined organization framework (XPMC) Follow agile methodology and maintain team dashboard (KANBAN) – Assign work to project team, track, and monitor team deliverables. Provide recommendations based on best practices and industry standards. Work closely with the team to ensure adherence to schedule timelines. Key Prerequisites Experience in AI and Generative AI Development Experience in Design, develop, and deploy AI models for various use cases, such as predictive analytics, recommendation systems, and natural language processing (NLP). Experience in Building and fine-tuning Generative AI models for applications like chatbots, text summarization, content generation, and image synthesis. Experience in implementation and optimization of large language models (LLMs) and transformer-based architectures (e.g., GPT, BERT). Experience in ingestion and cleaning of data Feature Engineering and Data Engineering Experience in Design and implementation of data pipelines for ingesting, processing, and storing large datasets. Experience in Model Training and Optimization Exposure to deep learning models and fine-tuning pre-trained models using frameworks like TensorFlow, PyTorch, or Hugging Face. Exposure to optimization of models for performance, scalability, and cost-efficiency on cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI). Hands-on experience in monitoring and improving model performance through retraining and evaluation metrics like accuracy, precision, and recall. AI Tools and Platform Expertise OpenAI, Hugging Face MLOps tools Generative AI-specific tools and libraries for innovative applications. Technical Skills Strong programming skills in Python (preferred) or other languages like Java, R, or Julia. Expertise in AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. Proficiency in working with transformer-based models (e.g., GPT, BERT, T5, DALL-E). Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes). Solid understanding of databases (SQL, NoSQL) and big data processing tools (Spark, Hadoop). Show more Show less

This role is for one of the Weekday's clients Min Experience: 2 years Location: India JobType: full-time We are looking for forward-thinking and driven professionals to join us on an exciting journey to transform healthcare through AI. As a member of our team, you'll collaborate with leading healthcare providers, leveraging AI-powered Remote Patient Monitoring (RPM) solutions to address critical industry challenges — from enhancing operational efficiency to improving patient outcomes and shaping future care delivery models. Requirements Key Responsibilities: Design, develop, and optimize machine learning algorithms to address complex healthcare challenges. Leverage healthcare datasets to generate meaningful insights and contribute to academic case studies and publications. Collaborate with product and marketing teams to extract actionable feedback and support ongoing optimization. Enhance and upgrade existing data pipelines and machine learning workflows for improved performance and scalability. Ensure solutions meet business requirements in terms of reliability, accuracy, and speed. Stay current with advancements in AI/ML technologies and ensure the software stack reflects industry best practices. Required Qualifications: Minimum of 5 years of experience in data science or a related role. Strong foundation in statistics and machine learning principles. Proficient in scripting and programming languages, preferably Python (Julia or R also considered). Experience working with time-series data and large-scale datasets. Hands-on experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch. Familiarity with big data tools such as Spark or Hadoop and the ability to contribute to pipeline development. Strong analytical and design skills, with a critical mindset and the ability to evaluate and improve current systems. Excellent data storytelling and communication skills. Skills: Python, TensorFlow/Keras/PyTorch, Time-Series Analysis, Spark/Hadoop, Statistical Modeling, Data Pipeline Optimization Show more Show less

Sr. GenAI Engineer – Manager Role Overview: As a Sr. 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 craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player and mentor, 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, contributing to low-level architecture and 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 and review code of other engineers, mentoring them, to ensure 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 leaning-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 strong 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. § Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations, etc. § 10-13 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. § Strong understanding and experience in managing big data of various forms to generate insights and create intelligence. § Proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, 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. 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. Work Location: Hyderabad 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. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. 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. 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. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303075

Summary Position Summary Sr. GenAI Engineer – Manager Role Overview: As a Sr. 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 craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player and mentor, 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, contributing to low-level architecture and 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 and review code of other engineers, mentoring them, to ensure 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 leaning-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 strong 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. Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations, etc. 10-13 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. Strong understanding and experience in managing big data of various forms to generate insights and create intelligence. Proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, 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. 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. Work Location: Hyderabad 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. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. 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. 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. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303075 Show more Show less