9518 Machine Learning Jobs - Page 36

About us We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team We are looking an experienced reservoir engineers to support ExxonMobil s global portfolio of Deepwater, Conventional, Heavy Oil & Unconventional assets. What you will do Lead collaborative projects with engineers on global teams to analyze field performance and advise on improving recovery Proactively engage with business stakeholders to address challenges, deliver solutions, drive process improvements Drive team engagement with technical experts to generate insights based on analysis of data, analytical & numerical models Lead engineering teams and provide effective guidance to team members Develop technical capabilities of team members through training and coaching Integrate with adjacent disciplines such as wells, development planning, geoscience, etc. to implement field development plans About You Skills and Qualifications Bachelors or Masters degree from a recognized university in petroleum /chemical/ mechanical/other relevant engineering disciplines with minimum GPA 7.0 Minimum 8 years of experience in Reservoir Engineering Experience in leading teams and integrated reservoir projects Strong problem solving and analytical skills Experience in performance monitoring, troubleshooting, and optimization of reservoir development Strong knowledge of reservoir engineering concepts including: Depletion planning and resource migration for primary, secondary and enhanced recovery mechanisms Reservoir simulation and history matching Analytical performance prediction Carbon storage knowledge will be an advantage Strong fundamental understanding/experiences in fluid mechanics, porous media flow, computational fluid dynamics Experience in data science & machine learning Preferred Qualifications / Experience Experience with Engineering Applications such as IPM, Kappa Ecrin (Saphir), Eclipse, Petrel RE, Intersect and CMG Experience in one or more programming languages such as MATLAB/C/Python Experience in computational and/or data science (e.g., machine learning, optimization) Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Visa AI as Services (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, AIaS powers and automates industrialization of data, models, and applications for predictive and generative AI. Combined with strong governance, AIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as Services is an ideal place for you! This role is for a Lead ML Engineer - Visa Feature Platform, with a strong development background, whose primary objective will be to extend our AI as a Service platform to provide faster time to market and building sophisticated Feature Engineering for training & inference while enhancing, optimizing our existing codebase and development procedures, as well as developing new solutions. We are seeking for a strong tech leader and architect with a solid background in data engineering and AI/ML production systems. The ideal candidate will have a strong mix of hands-on technical knowledge and leadership skills, with the ability to inspire and drive the team towards achieving our technical objectives. They should be hands-on, knowledgeable about cloud technologies, business drivers, and emerging AI/ML trends, and experienced with Big Data & Streaming platforms. The role demands a proactive leader who can guide the team through uncertainty, educate stakeholders, and influence decisions. The candidate should possess strong interpersonal skills, excellent written and verbal communication, and the ability to manage complex projects and deadlines. A problem-solving mindset and a hands-on approach are key to succeeding in this role. This role offers ample opportunities for learning and growth, and the chance to be part of delivering the next big thing for our AI as Services team. If you are experienced and passionate about cloud technology, AI, and machine learning, and are excited about making a significant impact, we would love to hear from you. Essential Functions: Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions. Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Responsibilities span all phases of solution development. Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Coaching and mentoring junior team members and evolving team talent pipeline. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Basic Qualifications: 12 or more years of relevant work experience with a bachelors degree or at least 10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 8 years of work experience with a PhD 4+ years of related

Job Description: Data Scientist (Generative AI) Job Summary Astria Digital is hiring a skilled and innovative AI/ML Engineer for an exciting Conversational AI Bot project. This role is available in a hybrid setup (Bangalore) or can be fully remote. We re seeking someone with deep knowledge of AI/ML fundamentals, strong hands-on experience with modern NLP tech stacks, and the ability to build and deploy Small Language Models (SLMs). You ll work on creating intelligent, responsive conversational systems using frameworks like Lang Chain and deploying models on cloud platforms such as AWS or Azure. If youre passionate about cutting-edge language models and building real-world AI solutions, we d love to connect. Skills & Responsibilities Design, develop, and optimize Conversational AI Bots using advanced NLP techniques Build and fine-tune Small Language Models (SLMs) and integrate them into conversational flows Use frameworks like LangChain, LlamaIndex, or similar to develop memory-aware, context-rich dialogue systems Implement Retrieval-Augmented Generation (RAG) and embedding techniques for intelligent responses Deploy custom-trained models on AWS (e.g., SageMaker, Lambda) or Azure (e.g., AKS, ML Studio) Deep understanding of LLM architecture, transformers, and prompt engineering Proficient with libraries such as Hugging Face Transformers, PyTorch, TensorFlow Familiarity with vector databases (e.g., FAISS, Pinecone) and chat memory stores Strong foundation in machine learning fundamentals, optimization, and evaluation techniques Collaborate with product and engineering teams to integrate AI into scalable applications Experience with MLOps, model monitoring, and continuous improvement of conversational performance Keep up with the latest advancements in Conversational AI, open-source LLMs, and fine-tuning method

Job Title: SAP FICO Senior Functional Consultant Career Level: D3 YOE - 8 to 11 Years Introduction to role: Join a world-leading pharmaceutical company as a SAP FICO Senior Functional Consultant, where youll be part of a dynamic team working on a large-scale SAP support and maintenance project. This role offers the opportunity to engage with multiple SAP landscapes across continents, contributing to innovative solutions that drive business success. Accountabilities: Are you ready to tackle complex challenges? As a Functional Consultant, youll resolve SAP issues reported by business users and deliver changes and enhancements as required. Youll complete tasks assigned by the team lead and project manager, while interacting with business users for requirement gathering and providing timely updates on progress. Your broad functional knowledge and technical expertise in FI and CO modules will be crucial in driving success. Essential Skills/Experience: At least ONE end to end Implementation experience of FICO module in S/4 HANA and two end to end implementation experience in SAP ECC Well versed in all the FICO submodules like GL, AP, AR, Asset Accounting Banking, Cost Centre Accounting, Cost Element Accounting, Profit Centre Accounting, Profitability Analysis, Product Cost Controlling, Activity based costing and Material Ledger In-depth functional understanding of the Record to Report work stream Good understanding of business processes in the life sciences/pharmaceutical domain Ability to understand business requirements from business users, prepare functional specifications, perform configuration changes, assist technical teams (e.g. ABAP) in their work, perform system and integration testing Exposure is essential to highly customized SAP environments and working on interfaces with Non SAP systems. (Exposure to interfaces like COUPA, Blackline, Workday, Concur is preferred) Very good understanding of integration of SAP modules in End to end business processes Understanding of ITIL processes and Application life cycle management Ability to work in large and diverse teams Exposure to Run SAP (Solution Manager) methodologies Experience of various Estimation Techniques will be an added advantage Excellent communication and interpersonal skills Well versed in English. Excellent spoken and written skills Willingness to work in shifts Proactive approach to problem solving Experience working in a Globally distributed team Desirable Skills/Experience: N/A At AstraZeneca, our work directly impacts patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. With a passion for impacting lives through data, analytics, AI, machine learning, and more, we are at a crucial stage of our journey towards becoming a digital and data-led enterprise. Join us to innovate, build partnerships, create new ways of working, and drive exponential growth. Ready to make a difference? Apply now and be part of our transformative journey! 30-Jun-2025 13-Jul-2025

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world s most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com . What Youll do Lead and execute complex data science initiatives that support high-impact business decisions. Responsible for the development, deployment, and communication of advanced analytical models. Provides technical guidance to junior data scientists and partners closely with cross-functional teams to drive data-driven outcomes Responsibilities Designs and implements advanced statistical and machine learning models to solve complex business problems. Leads full-cycle analytics projects, including problem definition, data exploration, model development, evaluation, and deployment. Collaborates with stakeholders to align data science solutions with business goals and priorities. Provides technical mentorship to junior team members and contributes to knowledge sharing across the team. Translates complex modeling outputs into actionable insights and presents findings to senior leadership. Stays current on industry best practices and emerging trends in AI, machine learning, and data science tools. Contributes to continuous improvement in analytical workflows, code standards, and data governance. Applies sound judgment to navigate ambiguous problems and propose scalable solutions. Performs other duties as required in support of the data science team and organizational goals. Required Qualification and skills Bachelor s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master s preferred. Minimum of 4 years of experience in data science, machine learning, or advanced analytics. Advanced proficiency in Python or R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow). Strong grasp of statistical analysis, experimental design, and model evaluation techniques. Excellent written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders. Demonstrated experience in leading complex data projects and driving measurable business outcomes. Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus. Benefits & Perks: Not only will you be joining a highly skilled and tight-knit team where every engineer makes a significant impact on the product; we also strive for good work/life balance and to make our environment welcoming and fun. Equity Rewards (RSUs) Employee Stock Purchase Plan (ESPP) Insurance plans with Outpatient cover National Pension Scheme (NPS) Flexible work policy Childcare support Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.

We are looking for a motivated R&D Engineer to join our team! As a member of the Formality R&D team, you will work with other enthusiastic and creative engineers. You will contribute to a growing tool where you can expand your knowledge and skills. Things youll learn include formal verification strategies, distributed computing, machine learning, and more. Key Responsibilities: As part of the team, design, develop and drive improvements to the verification technology Support the existing functionality and continually aim to enhance the versatility, performance and memory utilization while improving quality of the software. Work requires algorithm, data structure design as well as developing robust and efficient implementations. Interact with other members of Synopsys R&D, customer as necessary to understand customer needs and product goals. Skills Required: A minimum of 8 years of related experience. Excellent Software development experience with C / C++ on UNIX/Linux platforms Broad understanding of data structures, algorithms and their applications. Should have experience working in a multi-person product development environment with high dependencies and tight schedules. It is essential that the applicant is highly motivated and has solid desire to learn and explore new technologies. Demonstrated history of good analytical, debugging and problem-solving skills. Experience with complex software tool development and usage with legacy code base Exercise of judgment in developing methods, techniques, and evaluation criteria to meet project goals. Ability to work in both self-directed and collaborative settings. Understanding/Experience in Unified Power Format (UPF) would be beneficial Good written and oral communication skills, for team collaboration and product presentations. Preferred Skills: Special consideration given to those with background and experience in formal verification and/or synthesis techniques. Experience in Compilers and RTL Synthesis would be beneficial Knowledge of software specification and design process, and regression testing. Ability to know about customer wants and needs in the formal verification user community, by working with sales and field personnel. Product and team information: Formality is a formal verification product that checks combinational equivalence between two different representations of a design. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability. Apply Save Job test Share Email LinkedIn X Facebook Benefits At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. Were proud to provide the comprehensive benefits and rewards that our team truly deserves. Visit Benefits Page Health & Wellness Comprehensive medical and healthcare plans that work for you and your family. Time Away In addition to company holidays, we have ETO and FTO Programs. Family Support Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more. ESPP Purchase Synopsys common stock at a 15% discount, with a 24 month look-back. Retirement Plans Save for your future with our retirement plans that vary by region and country. Compensation Competitive salaries.

Experience: 8+ Years Location: Balewadi Highstreet, Pune Mode of Work: Hybrid 8+ years of overall experience in machine learning and deep learning, with 2+ years focused on Large Language Models (LLMs) and Generative AI. Practical knowledge of Natural Language Processing (NLP) use cases Expertise in Retrieval-Augmented Generation (RAG) techniques, including ingestion techniques, parsing/chunking strategies, reranking, embedding, and vector databases. Proficient in retrieval strategies such as hybrid, BM25, keyword, semantic, and metadata filtering. Strong background in prompt engineering, including system prompts and context prompting to enhance model interactions and outputs. Experience with evaluation techniques for both generation and retrieval. Knowledge of ethical AI practices, including guardrails to prevent prompt injections and ensure responsible AI usage. Familiarity with frameworks such as Langchain, Llama-index, and NeMo for building robust AI applications. Understanding of agent-based systems like CrewAI and Langgraph for enhanced AI capabilities

Description: Aurigo is leading the charge in transforming enterprise SaaS for infrastructure, and AI is at the core of this revolution. With Aurigo Lumina, our AI copilot, we are redefining how infrastructure owners interact with Masterworks, driving smarter, faster, and more efficient decision-making. We have set up AI Labs to build AI-powered software and transform Aurigo into an AI-first company. We have AI initiatives across the products and platforms. As Platform and Applied AI Manager based in Bengaluru, you will lead a world-class team to build cutting-edge products/solutions, production grade AI/Gen AI platforms, build AI agents while addressing critical challenges such as AI governance, bias, drift, and scalability. The role involves building predictive and prescriptive AI models, building domain-specific AI models for full construction lifecycle with AI governance, security, and responsible AI. This role demands a hands-on leader who can translate and execute complex AI capabilities into clear, compelling business value. If you re ready to power the next frontier of enterprise SaaS innovation and shape the future of AI in infrastructure, we want you at the helm. The ideal candidate will fulfil these skills and requirements. Top Skils Machine Learning & Data Science Expertise: You have proven experience in designing, building, and deploying ML, NLP, and Generative AI models in production environments. Gen AI and Agentic AI: Strong experience in building, deploying and monitoring Gen AI and Agentic AI solutions using the latest LLMs in cloud environment. AI Governance & Risk Management: You can demonstrate strong knowledge of addressing AI risks, including bias, model drift, scalability, and ensuring fairness and transparency. Technical Leadership: Your experience reflects your ability to lead R&D efforts in cutting-edge AI technologies like Agentic AI, Multi modal models, LLMs, computer vision, and deep learning. Strategic Communication: You can articulate our AI offering value propositions clearly and equally comfortable with technical teams, and non-technical stakeholders. Mentor data scientists and data engineers on end-to-end data science life cycle Driving discussions with the Aurigo platforms and work across the product teams to implement the AI initiatives Responsible for Agentic AI development and deployment Requirements: Advanced Engineering degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Ability to inspire teams and translate complex ideas into actionable roadmaps. Lead by example with hands-on experience from PoC to Production. Provide technical leadership and strategic direction for AI initiatives focused on agentic systems. Proven track record of driving measurable outcomes and delivering scalable, impactful AI products and platforms. Bridge business requirements with technical solutions, leading data transformation initiatives, and establishing standards across the organization. 8+ years of experience in AI/ML, with at least 4 years in leadership roles. 3+ years specifically focused on designing and implementing Gen AI solutions 5+ years of experience with cloud data platforms, particularly AWS. Deep knowledge of Gen AI, Agentic AI, Machine learning, Deep Learning, Data science, Data pipelines and MLOps. Good understanding of AI governance principles, including fairness, transparency, and accountability. Experience of building autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Strong expertise with LLMs (e.g., GPT, Claude, Mistral) Proficiency in cloud platforms for AI architecture: AWS Bedrock, AWS SageMaker with a deep understanding of their AI service offerings. People Management: Excellent abilities in attracting, inspiring, and keeping talent. Experience leading and mentoring technical teams Experience with regulatory frameworks related to AI ethics, governance, and compliance. Experience in integrating AI into customer-centric products. Curiosity to learn new technologies and show the business value using those technologies Demonstrated experience in driving innovation Analytical thinking and problem-solving ability Drive the planning, development, execution and deployment of AI/Gen AI projects About Aurigo Aurigo is revolutionizing how the world plans, builds, and manages infrastructure projects with Masterworks , our industry-leading enterprise SaaS platform. Trusted by over 300 customers managing $300 billion in capital programs, Masterworks is setting new standards for project delivery and asset management. Recognized as one of the Top 25 AI Companies of 2024 and a Great Place to Work for three consecutive years, we are leveraging artificial intelligence to create a smarter, more connected future for customers in transportation, water and utilities, healthcare, higher education, and the government, with over 40,000 projects across North America. At Aurigo, we don t just develop software we shape the future. If you re excited to join a fast-growing company and collaborate with some of the brightest minds in the industry to solve real-world challenges, let s connect. Competencies

Role Summary: Aurigo is leading the charge in transforming enterprise SaaS for infrastructure, and AI is at the core of this revolution. With Aurigo Lumina, our AI copilot, we are redefining how infrastructure owners interact with Masterworks, driving smarter, faster, and more efficient decision-making. We have set up AI Labs to build AI-powered software and transform Aurigo into an AI-first company. We have AI initiatives across the products and platforms. We are seeking a highly skilled and Principal Data Engineer (Agentic Architectures) to lead the strategic design, development, and scalable implementation of autonomous AI systems within our organization. This role demands an individual with deep expertise in cutting-edge AI architecture, a strong commitment to responsible AI practices, and a proven ability to drive innovation. The ideal candidate will architect and engineer autonomous decision-making systems at scale that integrate seamlessly with enterprise workflows. You will help build autonomous systems that reason, plan, and act - delivering scalable, intelligent solutions for real-world impact. Key Responsibilities: AI System Design and Architecture: Create autonomous, scalable, and reliable AI systems that function well with cloud computing, enterprise workflows, and sophisticated LLM frameworks. Need to facilitate dynamic, context-aware AI decision-making, specify blueprints for agents, pipelines, and APIs. Customization and Optimization: Create plans for optimizing autonomous AI models for tasks unique to the infrastructure sector, such as capital planning, construction, and operation. Establish procedures for fine tuning LLMs, multi-agent frameworks, and LLMs to conform to general architectural principles and business objectives. Knowledge of Frameworks and Platforms: Evaluate, recommend, and put into practice cutting-edge AI frameworks and tools, with an emphasis on autonomous AI systems, multi-agent frameworks, and LLM-driven decision engines. Encourage the use of cloud platforms for scalable AI implementations, such as AWS Bedrock and AWS SageMaker. Innovation and Research Integration: Lead the charge to advance agentic AI capabilities by integrating R&D projects into production infrastructures. Assess and test self-improving AI systems and new frameworks for architectural viability. Push proofs of concept to production-grade systems with practical limitations, such as performance metrics, latency, and scale. To guarantee safety, dependability, and compliance, put in place guardrails, human-in-the-loop procedures, and validation. Strategic AI Leadership: Technical Lead for interdisciplinary groups of data scientists, developers, and AI engineers in the acceptance and use of cutting-edge cloud and AI systems Construct and enhance essential architectural elements such as: Tool/Function Integration Layer, Agent Orchestration Layer, Data Storage and Retrieval Layer and reasoning layer. Qualifications: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 12+ years of progressive experience in AI/ML, with a strong track record as a data engineer, AI/ML Architect, or Solutions Lead. 2+ years specifically focused on designing and implementing Gen AI solutions. Experience of building autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Extensive hands-on experience with autonomous AI tools and frameworks: LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Expertise with cloud platforms for AI architecture, including AWS Bedrock and AWS SageMaker, with a thorough knowledge of their AI service offerings. Proven experience with LLMOps/MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments. Datawarehouse/Lakes: BigQuery, Redshift, GCS, S3 Orchestrator & Automation: Kubernetes, Helm, Airflow, Terraform Deep understanding of planning algorithms, decision-making models, and agentic architectures. Ability to collaborate with engineers and product teams to translate requirements into robust, scalable AI solutions. About Aurigo Aurigo is revolutionizing how the world plans, builds, and manages infrastructure projects with Masterworks , our industry-leading enterprise SaaS platform. Trusted by over 300 customers managing $300 billion in capital programs, Masterworks is setting new standards for project delivery and asset management. Recognized as one of the Top 25 AI Companies of 2024 and a Great Place to Work for three consecutive years, we are leveraging artificial intelligence to create a smarter, more connected future for customers in transportation, water and utilities, healthcare, higher education, and the government, with over 40,000 projects across North America. At Aurigo, we don t just develop software we shape the future. If you re excited to join a fast-growing company and collaborate with some of the brightest minds in the industry to solve real-world challenges, let s connect. Competencies

Role Summary: Aurigo is leading the charge in transforming enterprise SaaS for infrastructure, and AI is at the core of this revolution. With Aurigo Lumina, our AI copilot, we are redefining how infrastructure owners interact with Masterworks, driving smarter, faster, and more efficient decision-making. We have set up AI Labs to build AI-powered software and transform Aurigo into an AI-first company. We have AI initiatives across the products and platforms. We are seeking an experienced Senior / Staff Data Scientist to build and deploy our AI/ML, Gen AI and agentic AI products and solutions. Key Responsibilities This position offers an opportunity to be part of the AI transformation of our organization, working with cutting-edge technologies and solving complex challenges in a collaborative environment. We are seeking a highly skilled Senior / Staff Data Scientist to carry out design, and scalable implementation of AI/Gen AI products and platforms. This role demands an individual with strong programming and debugging skills, good software development experience, deep expertise in cutting-edge AI models, architectures, and a strong commitment to responsible AI practices. Qualifications: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field 3+ years of progressive experience in AI/ML, Gen AI 3+ years of software development experience and strong coding skills Building predictive and prescriptive AI/ML models and domain-specific AI models for full construction lifecycle Strong expertise with LLMs (e.g., GPT, Claude, Mistral) Experience in Prompt engineering, RAG, Parameter Efficient Fine Tuning (PEFT), Reinfocement Learning with Human Feedback (RLHF) to improve the LLM responses including guardrails, evaluation and LLM observability to reduce hallucinations. Expertise in Natural Language Processing, transformers and knowledge graphs Proficiency in cloud platforms for AI architecture: AWS Bedrock, AWS SageMaker with a deep understanding of their AI service offerings. Experience of building autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Extensive hands-on experience with autonomous AI tools and frameworks: LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Expertise with Python, TensorFlow, PyTorch, or other relevant AI/ML libraries. Push proofs of concept to production-grade systems handling performance metrics, latency, and scale. About Aurigo Aurigo is revolutionizing how the world plans, builds, and manages infrastructure projects with Masterworks , our industry-leading enterprise SaaS platform. Trusted by over 300 customers managing $300 billion in capital programs, Masterworks is setting new standards for project delivery and asset management. Recognized as one of the Top 25 AI Companies of 2024 and a Great Place to Work for three consecutive years, we are leveraging artificial intelligence to create a smarter, more connected future for customers in transportation, water and utilities, healthcare, higher education, and the government, with over 40,000 projects across North America. At Aurigo, we don t just develop software we shape the future. If you re excited to join a fast-growing company and collaborate with some of the brightest minds in the industry to solve real-world challenges, let s connect. Competencies

Min 1-3 yrs of exp in data science,NLP&Python Exp in PyTorch,Scikit-learn,and NLP libraries(NLTK,SpaCy,Hugging Face) Help deploy AI/ML solutions on AWS,GCP/Azure Exp in SQL for data manipulation & analysis Exp in Big Data processing Spark,Pandas,Dask

Responsibilities: Conducting classroom and online lectures on programming languages (Data Science, Python, Data Analytics) and related technologies to students Assigning and evaluating coursework, quizzes, and projects Providing one-on-one assistance and mentoring to students as required Ensuring that the course curriculum is up-to-date and relevant to industry standards Collaborating with other trainers and course developers to develop new training materials Maintaining accurate student records and progress reports Creating a positive and engaging learning environment for students Participating in faculty meetings, staff development programs, and other professional development activities as required Staying up-to-date with the latest trends and developments and related technologies Requirements: A Bachelor's or Master's degree in Computer Science or a related field A minimum of 1 years of experience as a trainer Excellent communication and interpersonal skills Strong knowledge of Python, Machine Learning, Data Science, Data Analytics, Deep Learning, NLP and related technologies Experience working with databases such as PostgreSQL and MySQL A passion for teaching and helping students achieve their career goals Ability to work independently as well as in a team environment

Join us as a Software Engineer In your new role, you ll engineer and maintain innovative, customer centric, high performance, secure and robust solutions We ll look to you to design and engineer software focusing on the customer or user experience as the primary objective It s a chance to hone your existing technical skills and advance your career as you develop the discipline of software engineering across the business Were offering this role at associate vice president level What youll do As a Software Engineer, you ll design, develop and deploy applications capable of meeting and exceeding the anticipated load, performance and availability volumes, including load balancing, performance testing and benchmarking. You ll be working within a feature team and using extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform. You ll also be: Producing high quality software which adds value to the business Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning Collaborating to optimise our software engineering capability Designing, producing, testing and implementing our working code Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations The skills youll need You ll need a background in software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers. You ll also have experience of test-driven development alongside the use of automated test frameworks, mocking or stubbing and unit testing tools. It ll be ideal if you have a background in solving highly complex, analytical and numerical problems. You ll also need: Eight to twelve years of experience in mainframe technologies such as CICS, Web Services, DB2 ,z/OS, JCL, File Handling, MQ Experience in AWS service & Amazon Connect Exposure in Chordiant Framework Experience in data analytics and machine learning technologies Hours 45 Job Posting Closing Date: 14/07/2025

What youll do You will play an important role in applying and implementing effective machine learning solutions, with a significant focus on Generative AI. You will work with product and engineering teams to contribute to data-driven product strategies, explore and implement GenAI applications, and deliver impactful insights. This positionis an individual contributor role reporting to the Senior Manager, Data Science. Responsibility Experiment with, apply, and implement DL/ML models, with a strong emphasis on Large Language Models (LLMs), Agentic Frameworks, and other Generative AI techniques to predict user behavior, enhance product features, and improve automation Utilize and adapt various GenAI techniques (e.g., prompt engineering, RAG, fine-tuning existing models) to derive actionable insights, generate content, or create novel user experiences Collaborate with product, engineering, and other teams (e.g., Sales, Marketing, Customer Success) to build Agentic system to run campaigns at-scale Conduct in-depth analysis of customer data, market trends, and user insights to inform the development and improvement of GenAI-powered solutions Partner with product teams to design, administer, and analyze the results of A/B and multivariate tests, particularly for GenAI-driven features Leverage data to develop actionable analytical insights & present findings, including the performance and potential of GenAI models, to stakeholders and team members Communicate models, frameworks (especially those related to GenAI), analysis, and insights effectively with stakeholders and business partners Stay updated on the latest advancements in Generative AI and propose their application to relevant business problems Complete assignments with a sense of urgency and purpose, identify and help resolve roadblocks, and collaborate with cross-functional team members on GenAI initiatives Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a positions job designation depending on business needs and as permitted by local law. What you bring Basic Bachelors or Masters degree in Computer Science, Physics, Mathematics, Statistics, or a related field 3+ years of hands-on experience in building data science applications and machine learning pipelines, with demonstrable experience in Generative AI projects Experience with Python for research and software development purposes, including common GenAI libraries and frameworks Experience with or exposure to prompt engineering, and utilizing pre-trained LLMs (e.g., via APIs or open-source models) Experience with large datasets, distributed computing, and cloud computing platforms (e.g., AWS, Azure, GCP) Proficiency with relational databases (e.g., SQL) Experience in training, evaluating, and deploying machine learning models in production environments, with an interest in MLOps for GenAI Proven track record in contributing to ML/GenAI projects from ideation through to deployment and iteration Experience using machine learning and deep learning algorithms like CatBoost, XGBoost, LGBM, Feed Forward Networks for classification, regression, and clustering problems, and an understanding of how these can complement GenAI solutions Experience as a Data Scientist, ideally in the SaaS domain with some focus on AI-driven product features Preferred PhD in Statistics, Computer Science, or Engineering with specialization in machine learning, AI, or Statistics, with research or projects in Generative AI 5+ years of prior industry experience, with at least 1-2 years focused on GenAI applications Previous experience applying data science and GenAI techniques to customer success, product development, or user experience optimization Hands-on experience with fine-tuning LLMs or working with RAG methodologies Experience with or knowledge of experimentation platforms (like DataRobot) and other AI related ones (like CrewAI) Experience with or knowledge of the software development lifecycle/agile methodology, particularly in AI product development Experience with or knowledge of Github, JIRA/Confluence Contributions to open-source GenAI projects or a portfolio of GenAI related work Programming Languages like Python, SQL; familiarity with R Strong knowledge of common machine learning, deep learning, and statistics frameworks and concepts, with a specific understanding of Large Language Models (LLMs), transformer architectures, and their applications Ability to break down complex technical concepts (including GenAI) into simple terms to present to diverse, technical, and non-technical audiences Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-SA4 ","qualifications":" Basic Bachelors or Masters degree in Computer Science, Physics, Mathematics, Statistics, or a related field 3+ years of hands-on experience in building data science applications and machine learning pipelines, with demonstrable experience in Generative AI projects Experience with Python for research and software development purposes, including common GenAI libraries and frameworks Experience with or exposure to prompt engineering, and utilizing pre-trained LLMs (e.g., via APIs or open-source models) Experience with large datasets, distributed computing, and cloud computing platforms (e.g., AWS, Azure, GCP) Proficiency with relational databases (e.g., SQL) Experience in training, evaluating, and deploying machine learning models in production environments, with an interest in MLOps for GenAI Proven track record in contributing to ML/GenAI projects from ideation through to deployment and iteration Experience using machine learning and deep learning algorithms like CatBoost, XGBoost, LGBM, Feed Forward Networks for classification, regression, and clustering problems, and an understanding of how these can complement GenAI solutions Experience as a Data Scientist, ideally in the SaaS domain with some focus on AI-driven product features Preferred PhD in Statistics, Computer Science, or Engineering with specialization in machine learning, AI, or Statistics, with research or projects in Generative AI 5+ years of prior industry experience, with at least 1-2 years focused on GenAI applications Previous experience applying data science and GenAI techniques to customer success, product development, or user experience optimization Hands-on experience with fine-tuning LLMs or working with RAG methodologies Experience with or knowledge of experimentation platforms (like DataRobot) and other AI related ones (like CrewAI) Experience with or knowledge of the software development lifecycle/agile methodology, particularly in AI product development Experience with or knowledge of Github, JIRA/Confluence Contributions to open-source GenAI projects or a portfolio of GenAI related work Programming Languages like Python, SQL; familiarity with R Strong knowledge of common machine learning, deep learning, and statistics frameworks and concepts, with a specific understanding of Large Language Models (LLMs), transformer architectures, and their applications Ability to break down complex technical concepts (including GenAI) into simple terms to present to diverse, technical, and non-technical audiences ","responsibilities":" You will play an important role in applying and implementing effective machine learning solutions, with a significant focus on Generative AI. You will work with product and engineering teams to contribute to data-driven product strategies, explore and implement GenAI applications, and deliver impactful insights. This positionis an individual contributor role reporting to the Senior Manager, Data Science. Responsibility Experiment with, apply, and implement DL/ML models, with a strong emphasis on Large Language Models (LLMs), Agentic Frameworks, and other Generative AI techniques to predict user behavior, enhance product features, and improve automation Utilize and adapt various GenAI techniques (e.g., prompt engineering, RAG, fine-tuning existing models) to derive actionable insights, generate content, or create novel user experiences Collaborate with product, engineering, and other teams (e.g., Sales, Marketing, Customer Success) to build Agentic system to run campaigns at-scale Conduct in-depth analysis of customer data, market trends, and user insights to inform the development and improvement of GenAI-powered solutions Partner with product teams to design, administer, and analyze the results of A/B and multivariate tests, particularly for GenAI-driven features Leverage data to develop actionable analytical insights & present findings, including the performance and potential of GenAI models, to stakeholders and team members Communicate models, frameworks (especially those related to GenAI), analysis, and insights effectively with stakeholders and business partners Stay updated on the latest advancements in Generative AI and propose their application to relevant business problems Complete assignments with a sense of urgency and purpose, identify and help resolve roadblocks, and collaborate with cross-functional team members on GenAI initiatives

About us We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team We are looking experienced reservoir engineers to support ExxonMobils global portfolio of Deepwater, Conventional, Heavy Oil & Unconventional assets. What you will do Lead / collaborate with engineers on global teams to analyze field performance and advise on improving recovery Integrate with adjacent disciplines - wells & geoscience teams to implement development plans Monitor reservoir data and provide insights and recommendations based on analysis Perform reservoir simulations, including model initialization, history match, and forecast Generate flow streams through use of material balance / analogs / simulation Generate plots and reports to communicate field performance Analyze field data to establish trends, recognize deviations, and identify data quality issues Build/sustain proprietary reservoir engineering technology Drive team engagement with technical experts to generate insights based on analysis of data, analytical, & numerical models About You Skills and Qualifications Bachelors or Masters degree from a recognized university in petroleum /chemical/ mechanical/other relevant engineering disciplines. Knowledge of reservoir engineering concepts including: Depletion planning and resource migration for primary, secondary, and enhanced recovery mechanisms Reservoir simulation and history matching Analytical performance prediction (decline curve analysis, material balance calculations) Pressure transient analysis Carbon storage knowledge will be an advantage Experience in performance monitoring, troubleshooting, and optimization of reservoir management Strong fundamental understanding /experiences in fluid mechanics, porous media flow, computational fluid dynamics Experience in reservoir surveillance & analysis, strong analytical skills Hands on experience with proprietary or vendor engineering analysis tools within the experience domain Experience in data science, machine learning will be an advantage Mentorship and team leadership experience will be an advantage Preferred Qualifications / Experience Relevant reservoir engineering experience of 3+ years. Experience with Engineering Applications such as IPM, Kappa Ecrin (Saphir), Eclipse, Petrel RE, Intersect, and CMG Experience in one or more programming languages such as MATLAB/C/Python Experience in computational and/or data science (e.g., machine learning, optimization) Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EOO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Behavioral Skills (B) Adapts (B) Analytical (B) Applies Learning (B) Collaborates (B) Communicates Effectively (B) Innovates Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Diverse Lynx is looking for Pyspark, Azure databricks to join our dynamic team and embark on a rewarding career journey Develop and maintain big data pipelines using Pyspark Integrate Azure Databricks for scalable data processing Perform data transformation and optimization tasks Collaborate with analysts and data scientists

As part of the ML Data Engineering team, you will be contributing to advancing and managing our satellite imagery data pipeline and infrastructure. You will be collaborating closely with cross-functional teams including the machine learning team, satellite team, and data science specialists. Beyond technical expertise, your role will involve shaping data products, continuous learning, and upholding best practices. Your experience and contributions will be instrumental in driving process improvements and fostering collaboration across the organization. Responsibilities: Data Acquisition & Management: Download satellite imagery from various sources and APIs Curate and organize satellite imagery datasets according to established standards Build and maintain comprehensive data catalogs with proper metadata tagging Ensure data quality and integrity throughout the acquisition process Infrastructure & Storage: Optimize storage costs while maintaining data accessibility and performance Monitor and maintain data backup and recovery systems Data Labeling & Annotation: Coordinate and execute satellite imagery labeling initiatives with data scientists Develop and implement quality control processes for labeled datasets Work with domain experts to establish labeling guidelines and standards Manage labeling workflows and delivery to ML teams MLOps & Pipeline Support: Support the development and maintenance of automated data pipelines Implement data versioning and lineage tracking Collaborate on model training data preparation and validation Assist in deploying and monitoring data processing workflows Cross-functional Collaboration: Work closely with the satellite team to understand data requirements Support the machine learning team with timely data delivery Participate in technical discussions and provide data-driven insights Document processes and maintain technical documentation Requirements Who Should Apply We welcome final-year students, recent graduates, and early-career professionals (0\u20131 year experience) with a passion for data systems and applied ML. We encourage applicants from any academic background with the right technical skills and willingness to learn. Technical Skills: Strong programming knowledge in Python Strong problem-solving skills and debugging ability Strong programming skills in Python and familiarity with data processing libraries (pandas, numpy, etc.) Experience with cloud platforms (AWS, Google Cloud, or Azure) and storage solutions Understanding of database systems (both SQL and NoSQL) Familiarity with data pipeline tools and workflow orchestration Basic knowledge of containerization (Docker) and version control (Git) (Bonus) Understanding of satellite imagery and geospatial formats Personal Attributes: Rapid in response, flexible to changes, and nimble in approach without compromising on the overall quality of work. Develops solutions through an adequate mix of intuition, reason and logic Pushes the collective quality of thought to new limits while trusting and respecting others skillsets & intentions Communicates with utmost clarity, while maintaining the highest standards of candor Adopts simplicity as a clutter breaking mechanism to waste fewer resources and time Strives for perfection, iteratively, to deliver work that is above and beyond accepted standards of excellence Work Experience Entry-level position suitable for recent graduates or candidates with 0-1 years of relevant experience in data engineering, data science, or related fields Benefits Learning & Growth: Hands-on experience with cutting-edge satellite imagery and geospatial technologies Exposure to enterprise-scale data infrastructure and MLOps practices Mentorship from experienced data engineers and ML practitioners Opportunity to work on real-world problems with global impact Technical Exposure: Work with petabyte-scale satellite imagery datasets Learn industry best practices for data governance and quality management Gain experience with modern data stack and infrastructure-as-code Understand the complete ML lifecycle from data to deployment Career Development: \u200b Clear path for conversion to full-time role based on performance Opportunity to shape and influence data strategy and processes Exposure to cross-functional collaboration in a fast-paced environment Access to continuous learning resources and professional development

Location : Hyderabad Role Highlights: As a Manager - Data Science , you wont just manage, youll lead by doing . This role demands strong hands-on expertise in Machine Learning, Generative AI, Python, and SQL , and any cloud environment (GCP, Azure or AWS) ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. Youll spearhead end-to-end AI/ML project execution , collaborate with cross-functional teams, and drive innovation within Blends Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, wed love to have you on board! What Youll Tackle Each Day: Delivery & Project Management: Develop and implement ML models, Gen AI solutions, and predictive analytics . Perform data mining, feature engineering, and statistical analysis . Own project roadmaps, quality control, and timely delivery . Collaborate with Data Engineering teams to deploy and operationalize ML models . Automate and optimize workflows for efficiency. Practice Development: Contribute to scaling Blends Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership. Evaluate emerging AI trends and tools and integrate them into our ecosystem. Lead innovation initiatives , research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team . Guide career development and set performance benchmarks. Collaborate with cross-functional teams to drive seamless execution. 8+ years of experience in Data Science & AI , with hands-on expertise in ML, Python, and SQL . Exposure to Generative AI Should have worked on at least a few POCs or pilo

We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity mode

We are seeking a highly skilled Lead Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 7+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity mode

Job Summary: Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge. In this job, I m accountable for: Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: - Understands business needs and in depth understanding of Tesco processes - Builds on Tesco processes and knowledge by applying CI tools and techniques. - Responsible for completing tasks and transactions within agreed KPI's - Solves problems by analyzing solution alternatives Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources - Building Statistical models and ML algorithms with practitioner level competency Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency - Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs Working with the line manager to ensure application / consumption and proactively identifying opportunities to help the larger Tesco business with areas of improvement. I am accountable for in my job: Enterprise Analytics Senior Management Partners across the global Tesco business Experience relevant for this job: - Applied Math: Applied Statistics, Design of Experiments, - 2 - 4 years experience in data science application in Retail or Regression, Decision Trees, Forecasting, Optimization CPG Preferred algorithms, Clustering, NLP - Functional experience: Marketing, Supply Chain, Customer, - Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS Merchandising, Operations, Finance or Digital Powerpoint, GitHub - Business: Basic understanding of Retail domain - Soft Skills: Analytical Thinking & Problem solving, Storyboarding, Articulate communication

SDE 3 Backend AI Engineer About Teachmint: At Teachmint, we believe that education moves the world forward and deserves the best technology in this pursuit. We are a global classroom technology company empowering educators, students and institutions in over 50 countries. At the forefront of classroom innovation, Teachmint is transforming how education is delivered through its proprietary solutions Teachmint X, an AI-powered connected classroom device; EduAI, an intelligent AI companion that empowers educators and learners to become self reliant; and our interactive AI whiteboard technology, designed to blend intelligence with usability and elevate every moment of classroom interaction. We are redefining education infrastructure. Whether youre architecting backend systems, designing intuitive front-end experiences, improving deployment pipelines, driving business growth and brand visibility, or scaling user impact your work here directly shapes the future of education. If you re excited by the idea of building smart, scalable, and meaningful solutions in education, come create with us. Learn more: www.teachmint.com About the Role: Teachmint is seeking a highly skilled AI/ML engineer with strong backend experience to join our team. Youll be responsible for designing, developing, and maintaining scalable and efficient backend AI systems. Youll work closely with cross-functional teams to integrate AI capabilities into our products and services Key Responsibilities: Expertise on Agentic AI and hands on experience with multimodal LLMs. Design and develop backend AI systems: Create scalable and efficient backend systems that integrate AI capabilities, such as machine learning models, natural language processing, and computer vision. Develop and deploy AI models: Work with data scientists to develop and deploy AI models that meet business requirements. Ensure system reliability and performance: Design and implement systems that ensure high availability, scalability, and performance. Collaborate with cross-functional teams: Work closely with frontend engineers, product managers, and other stakeholders to integrate AI capabilities into products and services. Mentor junior engineers: Share knowledge and expertise with junior engineers and help them grow in their roles. Preferred requirements: Bachelors or Masters degree in Computer Science or related field 5+ years of experience in backend development Strong proficiency in programming languages, such as Python, Java, or C++ Experience with AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn Strong understanding of computer science fundamentals, including data structures, algorithms, and software design patterns Experience with cloud platforms, such as AWS, GCP, or Azure Strong problem-solving skills and attention to detail Nice to Have: Experience with containerization (Docker) and orchestration (Kubernetes). Knowledge of testing frameworks (e.g., Pytest, Unittest). Familiarity with CI/CD pipelines. Disclaimer: Kindly note that Teachmint Technologies is an equal-opportunity employer. We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees (including promotion, transfers, assignments and beliefs). Teachmint Technologies prohibits discrimination in the workplace whether on grounds of color, disability, marital status, nationality, race, religion, sex, sexual orientation, national or ethnic origins, religious belief, disability or age.

Role Job ID: CVE282506 Computer Vision Engineer Hyderabad Experience 3 to 5 Years Profile We are looking for a highly skilled Deep Learning Engineer to develop, implement, and optimize deep learning models. The ideal candidate will have expertise in neural networks, data processing, and model deployment to drive advanced AI solutions across various industries. Requirements Experience in development and implementation of computer vision products with a large scale data processing / analytics. Should have developed state of art AI/ML and DL applications/products. Experience working on TensorFlow, PyTorch, ONNX, MXNet, Caffe, OpenCV, Keras, CNN, R-CNN, DNN, CuDNN, RNN, Mask R-CNN, YOLO, ResNext, GoogleNet, AlexNet, ResNet. SegNet, VGG Net, etc., Neural networks, frameworks and platforms. Solid programming skills with Python and C/C++. Good to have MatLAB experience. Should have used GPU computing (CUDA, OpenCL) and HPC Knowledge and experience in using pykafka, kafka broker, various messaging and steaming services. Hands on experience in developing efficient Computer Vision products. Should have extensive experience in cloud like AWS/Azure and Google. Implementation of research papers at the expected level of quality. Experience in using the dockerized container with micro services for deploying the applications. Experience in using the NoSQL databases. Ability to optimize the models to TensorRT and publishing for various edge devices. Hands-on experience in using and deploying optimized models for NVIDIA Jetson Nano, TX1, TX2, Xavier NX, AGX Xavier and Raspberry Pi, other edge devices with DeepStream, GStream etc. Experience with Samsung Neural is an advantage. Responsibilities Own the product development milestone, ensure delivery to the architecture and identify challenges. Drive innovation in the product catering to successful initiatives and engineering best practices to be followed by core product development teams in the company. Developing, porting and optimizing computer vision algorithms and data structures on proprietary cores; Perhaps using design, implement, validate, and release applications. Involved in research and development effort of advanced product-critical computer vision components covering key product critical perception features such as feature extraction, tracking objects, sensor calibration. Solid foundation in computer vision: photogrammetry, multi-view geometry, visual SLAM, detection and recognition, 3D reconstruction. Write maintainable, reusable code, leveraging test-driven principles to develop high quality computer vision and machine learning modules. Visualization and solid understanding of deep neural networks. Experience with object detection, tracking, classification, recognition, scene understanding. Excellent knowledge on any/all of the given concepts in Computer Vision namely image classification, object detection and semantic segmentation developed using state of the art deep learning algorithms Experience/exposure to usage of open source technologies. Experience in owning technical architecture of the products, planning roadmaps and technically managing the team. Evaluate and advise on new technologies, vendors, products and competitors. Initiative and the ability to work independently and in a team. Must have managed teams but at the same time be a hands-on technology person. Join the awesome squad. Apply now! Upload resume I agree to the Terms of Service and Privacy Policy More about us TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.

Principal / Senior Systems Performance Engineer Micron Data Center and Client Workload Engineering in Hyderabad, India, is seeking a senior/principal engineer to join our dynamic team. The successful candidate will primarily contribute to the ML development, ML DevOps, HBM program in the data center by analyzing how AI/ML workloads perform on the latest MU-HBM, Micron main memory, expansion memory and near memory (HBM/LP) solutions, conduct competitive analysis, showcase the benefits that workloads see with MU-HBM s capacity / bandwidth / thermals, contribute to marketing collateral, and extract AI/ML workload traces to help optimize future HBM designs. Job Responsibilities: The Job Responsibilities include but are not limited to the following: Design, implement, and maintain scalable & reliable ML infrastructure and pipelines. Collaborate with data scientists and ML engineers to deploy machine learning models into production environments. Automate and optimize ML workflows, including data preprocessing, model training, evaluation, and deployment. Monitor and manage the performance, reliability, and scalability of ML systems. Troubleshoot and resolve issues related to ML infrastructure and deployments. Implement and manage distributed training and inference solutions to enhance model performance and scalability. Utilize DeepSpeed, TensorRT, vLLM for optimizing and accelerating AI inference and training processes. Understand key care abouts when it comes to ML models such as: transformer architectures, precision, quantization, distillation, attention span & KV cache, MoE, etc. Build workload memory access traces from AI models. Study system balance ratios for DRAM to HBM in terms of capacity and bandwidth to understand and model TCO. Study data movement between CPU, GPU and the associated memory subsystems (DDR, HBM) in heterogeneous system architectures via connectivity such as PCIe/NVLINK/Infinity Fabric to understand the bottlenecks in data movement for different workloads. Develop an automated testing framework through scripting. Customer engagements and conference presentations to showcase findings and develop whitepapers. Requirements: Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience in data preparation: cleaning, splitting, and transforming data for training, validation, and testing. Proficiency in model training and development: creating and training machine learning models. Expertise in model evaluation: testing models to assess their performance. Skills in model deployment: launching server, live inference, batched inference Experience with AI inference and distributed training techniques. Strong foundation in GPU and CPU processor architecture Familiarity with and knowledge of server system memory (DRAM) Strong experience with benchmarking and performance analysis Strong software development skills using leading scripting, programming languages and technologies (Python, CUDA, C, C++) Familiarity with PCIe and NVLINK connectivity Preferred Qualifications: Experience in quickly building AI workflows: building pipelines and model workflows to design, deploy, and manage consistent model delivery. Ability to easily deploy models anywhere: using managed endpoints to deploy models and workflows across accessible CPU and GPU machines. Understanding of MLOps: the overarching concept covering the core tools, processes, and best practices for end-to-end machine learning system development and operations in production. Knowledge of GenAIOps: extending MLOps to develop and operationalize generative AI solutions, including the management of and interaction with a foundation model. Familiarity with LLMOps: focused specifically on developing and productionizing LLM-based solutions. Experience with RAGOps: focusing on the delivery and operation of RAGs, considered the ultimate reference architecture for generative AI and LLMs. Data management: collect, ingest, store, process, and label data for training and evaluation. Configure role-based access control; dataset search, browsing, and exploration; data provenance tracking, data logging, dataset versioning, metadata indexing, data quality validation, dataset cards, and dashboards for data visualization. Workflow and pipeline management: work with cloud resources or a local workstation; connect data preparation, model training, model evaluation, model optimization, and model deployment steps into an end-to-end automated and scalable workflow combining data and compute. Model management: train, evaluate, and optimize models for production; store and version models along with their model cards in a centralized model registry; assess model risks, and ensure compliance with standards. Experiment management and observability: track and compare different machine learning model experiments, including changes in training data, models, and hyperparameters. Automatically search the space of possible model architectures and hyperparameters for a given model architecture; analyze model performance during inference, monitor model inputs and outputs for concept drift. Synthetic data management: extend data management with a new native generative AI capability. Generate synthetic training data through domain randomization to increase transfer learning capabilities. Declaratively define and generate edge cases to evaluate, validate, and certify model accuracy and robustness. Embedding management: represent data samples of any modality as dense multi-dimensional embedding vectors; generate, store, and version embeddings in a vector database. Visualize embeddings for improvised exploration. Find relevant contextual information through vector similarity search for RAGs. Education: Bachelor s or higher (with 12+ years of experience) in Computer Science or related field. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidates true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

">Data Science 6-10 Years Bengaluru Data science Job Summary: We are looking for an experienced and innovative Senior Data Scientist with 6 to 10 years of experience, specializing in Generative AI (GenAI) , Large Language Models (LLMs) , and Natural Language Processing (NLP) . The ideal candidate will have deep expertise in developing and deploying AI/ML solutions, including Retrieval-Augmented Generation (RAG) frameworks, and working with cloud platforms such as Google Cloud Platform (GCP) . Key Responsibilities: Design, develop, and deploy advanced AI/ML models with a focus on NLP, GenAI, and LLMs. Implement and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications. Collaborate with cross-functional teams to translate business problems into AI solutions. Evaluate and fine-tune foundation models (e.g., GPT, PaLM, LLaMA) for domain-specific use cases. Work with cloud services (primarily GCP) for scalable model training and deployment. Develop robust data pipelines and conduct data preprocessing and feature engineering. Stay current with the latest advancements in GenAI, deep learning, and NLP. Mentor junior data scientists and contribute to knowledge sharing and best practices. Required Skills and Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or a related field. A PhD is a plus. 6 to 10 years of hands-on experience in data science or machine learning roles. Strong programming skills in Python ; familiarity with R is a plus. Proven experience with Generative AI , LLMs , and NLP frameworks (e.g., Hugging Face Transformers, SpaCy, NLTK). Practical knowledge of RAG architectures and vector databases (e.g., FAISS, Pinecone). Solid experience in deep learning using libraries such as TensorFlow, PyTorch, or JAX. Hands-on experience with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, and Cloud Storage. Excellent problem-solving skills and the ability to work independently or within a team. Preferred Qualifications: Experience in deploying LLMs in production environments. Knowledge of prompt engineering and fine-tuning techniques. Familiarity with CI/CD workflows for machine learning. Background in MLOps and model monitoring in cloud environments.