13290 Ml Jobs

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: Data Science. Experience5-8 Years.

We are looking for a highly skilled Business Analyst with a focus on AI Cognitive at Wipro Technologies, specifically within the TS - DATA ANALYTICS & AI sector. you will be responsible for driving innovation and delivering top-notch AI/ML solutions in the healthcare sector. Your role will involve a wide range of tasks from AI/ML development and deployment to collaboration with cross-functional teams and ensuring compliance with AI ethics and standards. Preferred qualifications for this role include experience in AI/ML in healthcare, proficiency in Python and deep learning frameworks like PyTorch, and expertise in working with cloud development environments such as Azure, AWS, and GCP. You should also have a solid understanding of Generative AI technology, NLP, and machine learning models deployment. Mandatory Skills: AI Cognitive. Experience5-8 Years.

About the Role #JLLTechAmbitions We are seeking a highly skilled and innovative Senior AI/ML Software Engineer to join our cutting-edge team working on Agentic AI, AI/Machine Learning, and Large Language Models (LLMs). In this role, you will be at the forefront of developing intelligent, autonomous systems that can perceive, learn, and act in complex environments, with a strong focus on LLMs and their applications. The JLL Technologies Insights & Data team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred. 6 months+ of experience. Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments. Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc. Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development. Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong proficiency in Python, PyTorch and preferably PySpark. Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering. Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs. Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques. Strong understanding of integration of Gen AI applications with with backend systems. Good in developing and consuming RESTful APIs. Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.

Please Note - NP should be 0-15 days The candidate should at minimum show proficiency in: Strong Python and intermediate SQL skills Experience building, deploying, and evaluating ML/NLP/GenAI systems. Experience with ML system design Very strong (including written) communication skills and ability to break down and articulate complex tasks into implementation strategies Software engineering best practices, including testing, OOP, etc. Knowledge of cloud systems, especially azure preferred. A more traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters Must Have: Experience working closely with other data scientists, data engineers software engineers, data managers and business partners. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong software engineering and ML system design experience. Experience with system designs like kNN model, NLP algorithms.

Company Description Founded in 2018, Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs. Giggso provides a single integrated platform for monitoring and observability, incident management, automation, and self-healing for AI ML Teams. The platform is web 3.0 and blockchain-enabled, offering benefits such as reduced OpEx costs, ROI management for AI, and improved customer experience. Job Summary: We are looking for a detail-oriented and results-driven Senior QA Engineer with a strong background in manual and automation testing to join our quality assurance team. The ideal candidate will be responsible for designing and executing robust test strategies, ensuring high-quality software delivery across web, mobile, and API platforms. You’ll play a key role in building Python-based automation frameworks, collaborating with cross-functional teams, and mentoring junior testers to drive continuous quality improvements. Responsibilities: Design, develop, and execute comprehensive test plans for web, mobile, and API applications Build and maintain automation frameworks using Python, Selenium, and Pytest Collaborate with developers, product managers, and DevOps teams to define testing scope and coverage Perform functional, regression, integration, and performance testing Manage defects throughout the lifecycle using tools like JIRA or Bugzilla Ensure seamless test integration into CI/CD pipelines using Jenkins , Git , and related tools Document and maintain high-quality QA artifacts including test cases, test reports, and user stories Act as a quality advocate and mentor within the QA team, sharing best practices and technical expertise Requirements: Bachelor’s degree in Computer Science, Engineering, or related field 2+ years of experience in software quality assurance, with expertise in both manual and automation testing Strong hands-on experience in Python for automation testing Proficient in tools such as Selenium, Pytest, Jenkins, Git , and test management platforms Excellent knowledge of SDLC , Agile methodologies , and defect lifecycle management Strong analytical and problem-solving skills with meticulous attention to detail Excellent communication skills and a collaborative team mindset Key Skills: Manual Testing (Web, API, Mobile) Test Automation with Python (Selenium, Pytest) Bug Tracking & Defect Management (JIRA, Bugzilla) Test Planning & Execution Agile/Scrum Environments CI/CD Integration (Jenkins, GitLab) Code Reviews & QA Documentation

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Physical design for high-performance designs going into industry leading CPU and AI/ML architecture. The person coming into this role will be involved in all implementation aspects from synthesis to tapeout for various IPs on the chip. The work is done alongside a group of highly experienced engineers across various domains of the AI chip. This role is hybrid, based out of Bangalore. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Responsibilities Define PD requirements by working closely with the front-end team, understand the chip architecture and drive physical aspects early in the design cycle Physical design tasks including such as synthesis, PnR, timing closure, area improvement, floorplanning, clocking, I/O planning and power optimization Discussions with 3rd party IP providers, foundry partners and design services End to end tasks from flow development to sign-off Deploy innovative techniques for improving power, performance and area of the design, drive experiments with RTL, and evaluate synthesis, timing and power results Experience & Qualifications BS/MS/PhD in EE/ECE/CE/CS Hands-on experience with synthesis, block and chip level implementation with industry standard PnR flows and tools Strong experience in SOC/ASIC/GPU/CPU design flows on taped out designs, expertise in timing closure at block/chip levels and ECO flows Experience with back-end design tools such as Primetime, Innovus, RedHawk, etc. Knowledge of low-power design flows such as power gating, multi-Vt and voltage scaling Strong programming skills in Tcl/Perl/Shell/Python Excellent understanding of logic design fundamentals and gate/transistor level implementation Exposure to DFT is an asset Prior experience working on high performance technology nodes and understanding of deep sub-micron design problems/solutions Strong problem solving and debug skills across various levels of design hierarchies Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government. As this position will have direct and/or indirect access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and supporting documentation will be required and considered as a condition of employment. If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.

Key Responsibilities: - Gather and extract data from various databases and sources, ensuring data quality and consistency. - Perform detailed data analysis to uncover trends, patterns, and actionable insights that support business objectives. - Develop predictive models and algorithms to address complex business challenges and forecast outcomes. - Use statistical tools and machine learning techniques to optimize processes and inform strategic initiatives. To provide suggestions and research backed recommendations for adoption of newer tools and available products to enhance data productivity - Design and implement automated dashboards and reporting systems to streamline data insights and accessibility. - Develop automated alert mechanisms to promptly notify relevant stakeholders of significant changes or anomalies. - Collaborate with cross-functional customer experience teams to understand data needs and provide analytical support. - Present findings and recommendations to senior leadership in a clear, concise, and impactful manner. - Lead and manage data science projects from conception to completion, ensuring timely delivery and alignment with organizational goals. - Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation. Qualifications: - Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Experience in data science, analytics, or a similar role, with at least 4-5 years in a leadership or managerial position. - Proven experience in building and deploying machine learning models and automated solutions. Technical Skills: - Proficiency in programming languages such as Python, R, or Java. - Strong SQL skills and experience with data querying and transformation. - Familiarity with big data technologies like Hadoop, Spark, or AWS. - Experience with data visualization tools such as Tableau, Power BI, or similar. - Knowledge of statistical analysis and machine learning frameworks (e.g., scikit-learn, TensorFlow). Soft Skills: - Strong analytical and problem-solving abilities. - Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders. - Ability to work collaboratively in a team environment and lead projects with minimal supervision. Preferred Qualifications: - Experience in creating real-time data pipelines and automated alert systems. - Understanding of data governance and compliance practices. - Prior experience in aviation or a customer-centric or high-growth industry is a plus. "At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connections with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their – but not limited to - gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, differently-abled status, marital status, nationality, age, family status, and maternity status"

We’re hiring a Quant Developer with 1+ years of experience in Python, trading systems, machine learning, and financial markets. Must have skills in MongoDB, Redis, APIs, Websockets, SSH tunneling & cloud computing. Good to have Stock market knowledge

Data scientist role 6+yrs exp in Data Science & AI/ML designing, developing, and deploying scalable AI/ML solutions for Big Data GCP preferred, AWS/Azure a plus Gurgaon Call on 7042331616 or drop cv on supreetbakshi@imaginators.co

Full-time Job Description NIQ is looking for a Software Engineer to join our AI ML Engineering team. At NIQ, the Retail Measurement System (RMS) is a powerful analytics service that tracks product sales and market performance across a wide range of retail channels. It provides comprehensive, store-level data that helps businesses understand how their products are performing in the market, benchmark against competitors, and identify growth opportunities. Charlink and Jarvis models are used to predict product placements to its ideal hierarchy product tree. Learn more on the data driven approach to train models efficiently to predict placements based on Characteristics. Developing frontend applications to interact with ML models, integrating inference codes, and providing tools and patterns for enhancing our MLOps cycle. The ideal candidate has strong software design and programming experience, with some expertise in cloud computing, and big data technologies, and strong communication and management skills. You will be part of a diverse, flexible, and collaborative environment where you will be able to apply and develop your skills and knowledge working with unique data and exciting applications. Our Software Engineering platform is based in AngularJS, Java, React, Spring Boot, Typescript, Javascript, Sql and Snowflake, and we continue to adopt the best of breed in cloud-native, low-latency technologies. Who We Are Looking For You have a strong entrepreneurial spirit and a thirst to solve difficult challenges through innovation and creativity with a strong focus on results You have a passion for data and the insights it can deliver You are intellectually curious with a broad range of interests and hobbies You take ownership of your deliverables You have excellent analytical communication and interpersonal skills You have excellent communication skills with both technical and non-technical audiences You can work with distributed teams situated globally in different geographies You want to work in a small team with a start-up mentality You can work well under pressure, prioritize work and be well organized. Relish tackling new challenges, paying attention to details, and, ultimately, growing professionally. Responsibilities Design, develop, and maintain scalable web applications using AngularJS for the front end and Java (Spring Boot) for the backend Collaborate closely with cross-functional teams to translate business requirements into technical solutions Optimize application performance, usability, and responsiveness Conduct code reviews, write unit tests, and ensure adherence to coding standards Troubleshoot and resolve software defects and production issues Contribute to architecture and technical documentation Qualifications 3–5 years of experience as a full stack developer Proficient in AngularJS(Version 12+), Typescript, Java, Spring Framework (especially Spring Boot) Experience with RESTful APIs and microservices architecture Solid understanding of HTML, CSS, JavaScript, and responsive web design Familiarity with relational databases (e.g., MySQL, PostgreSQL) Hands-on experience with version control systems (e.g., GitHub) and CI/CD tools Strong problem-solving abilities and attention to detail 3 - 5+ years of relevant software engineering experience Minimum B.S. degree in Computer Science, Computer Engineering, Information Technology or related field Additional Information Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms. Recharge and revitalize with help of wellness plans made for you and your family. Plan your future with financial wellness tools. Stay relevant and upskill yourself with career development opportunities Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy

Notice Period - 0 to 30 days Location - Chennai/Hyderabad Key Responsibilities: Lead end-to-end AI technical solutioning across multiple projects, ensuring alignment with business objectives, architectural standards, and long-term AI/ML strategy. Define and evolve the AI architectural vision and roadmap , integrating emerging technologies and best practices tailored to Healthcare IT needs. Design comprehensive AI/ML solutions covering data ingestion, processing, model development, deployment, and monitoring — with a focus on scalability, performance, security, and compliance . Partner with business stakeholders to translate functional requirements into scalable technical designs and contribute to shaping AI-related business strategy. Collaborate with data scientists, ML engineers, and cross-functional teams to guide development and ensure successful delivery , while providing hands-on mentorship and technical leadership. Maintain detailed documentation including architecture diagrams, solution designs, and technical guidelines to support knowledge sharing and reusability. Evaluate and recommend AI tools, technologies, and platforms — with a strong emphasis on Google Cloud Platform (GCP) services — to support enterprise AI initiatives. Lead Proof-of-Concept (PoC) projects to validate AI solutions, demonstrating business value and technical feasibility. Ensure all AI systems are compliant with healthcare regulations such as HIPAA , and uphold industry security and governance standards. Communicate effectively across all levels of the organization, simplifying complex AI concepts for non-technical stakeholders and ensuring alignment. Stay updated on AI trends, research, and industry innovations, and proactively identify opportunities for competitive advantage and efficiency. Work closely with both U.S. and Thryve leadership teams to provide regular updates on project status, risks, and strategic direction. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence , or a related field. 12+ years of experience in software engineering or architecture, with a substantial focus on AI/ML solutions. Strong understanding of machine learning paradigms (supervised, unsupervised, reinforcement learning) and familiarity with a range of algorithms and models. Hands-on experience with cloud platforms (preferably GCP ), and a strong command of AI/ML services within those ecosystems. Proven success in designing and deploying robust, enterprise-grade AI solutions in Healthcare IT environments. Proficient in programming languages such as Python , Java , or Scala , and frameworks like TensorFlow , PyTorch , Scikit-learn . Experience with MLOps practices and tools , focusing on automation and lifecycle management of AI models. Deep knowledge of healthcare regulations (e.g., HIPAA ) and familiarity with the healthcare data and compliance landscape. Strong leadership and communication skills , with the ability to guide technical teams and engage cross-functional stakeholders effectively. Demonstrated ability to influence technical decision-making , drive consensus, and lead AI strategy within a large-scale organization.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

THIS REQUIREMENT IS FOR A CLIENT!!! Job Overview: We are seeking a skilled Machine Learning Engineer with a strong grasp of ML algorithms , techniques, and best practices. This role offers the opportunity to design, build, and deploy scalable machine learning solutions in a dynamic environment. Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Lang chain/ Lang graph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability.. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning. Please feel free to drop your resume to pushpa.belliappa@tekworks.in

LTIMindtree QE Team is seeking a highly experienced and dynamic AI Assurance Engineers. Role Objectives Test Validate the functionality and accuracy of AIgenerated outputs Expectations Working closely with the development team to design test cases execute test scenarios and identify potential datarelated issues in the AI models. Contribute to the enhancement of testing processes and collaborate with crossfunctional teams to ensure the overall quality and reliability of GenAI products. Strong analytical skills attention to detail and a keen understanding of data quality standards. Responsibility Develop and execute test plans for evaluating the functional performance of GenAI models Analyse AIgenerated outputs to identify discrepancies inaccuracies or unexpected behaviour Collaborate with SMEs and engineers to reproduce and debug identified issues Document and communicate test results Skills Experience in software testing and Test Automation with a focus on data validation Familiarity with data quality standards and best practices Experience with ML deep learning TensorFlow Python NLP Experience in applying AI to practical and comprehensive technology solutions Knowledge of programming languages and scripting on any one automation tool Experience in REST API development NoSQL database design and RDBMS design and optimizations Strong analytical and problemsolving skills Excellent communication and collaboration abilities LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, dis-ability or any other characteristic protected by applicable law.

About the Role: We are looking for a Delivery leader to driven our team of data and domain enthusiasts in Health Care payment integrity. you will get an opportunity to work with various payers and providers and get to know how we reduce provider abrasion and help provider engagement with our innovative and highly scalable solutions. Location -Chennai MRC Nagar 5 days working from office Shift starts from 12/12:30 pm Summary: Candidate Should have overall 12+ years of experience in analytics delivery and/or consulting At least 8 years of experience in leading the Analytics Team, Solution Creation and Defining Roadmaps. 5+ years experience preferably from Top tier Analytics/consulting/Analytics startup companies - Mathcompany, Tredence, Mu Sigma, Tiger Analytics, Latent view etc. Candidates with on healthcare data problems would be preferred (Eg: those from United/Optum ABCO, Truven/IBM, Astra Zeneca, Zoom Rx, Buddi.ai, Sagitec solutions (Health), Cognizants Healthcare Payer ) MBA from Top Tier B-schools working in Operations Delivery would be preferred. Responsibilities : Delivery Management : Overall supervision of various data/business initiatives and deliverables with special emphasis on Operational Excellence EXLs Payment Integrity business is outcomes driven (Reiterating: Our revenue is achieved only when the KPI targets are met we find savings to the client, our revenue is achieved as commission). Responsible for Monitoring and delivering on the KPIs while working with Operations, Client Partners, MIS, technology reporting teams and internal platform and data management team. Proactive identification of risks to the business KPIs through steerage from Analytics and data science. Overseeing a multi-dimensional team – Analytics Production (Rules & Model runs monthly, Daily for 5+ clients), Shared R&D/Data Mining, ML & NLP development, Operational Analytics end to end A deeper Understanding and experience of the Analytics levers available– SQL Rule based, ML based, Data Mining and/or Optimization initiatives or NLP automation inventory. Demonstrate/Consult the data insights and enable change management with key stakeholders Assembling a core team to steer the delivery -- Hire, Train & mentor team members. Regular cadences with team members, Hiring and attrition management strategy Define and review Analytics roadmap with team members, stakeholders and collaborators to resolve open items within agreed timelines Stakeholder Management: Build senior and strategic cross functional relationships through delivery excellence and interpersonal stakeholder management. Close cooperation with the global teams and onshore counterparts regarding cross pollinating ideas, governing key stakeholder and client communications Centralize and Prioritize requirements from Analytics for Technology/Platform and Data management counterparts Skills and Roles - MBA From Top Tier B Schools is preferred. Strong problem solving and analytical skills Experienced team manager - from hiring to career pathing. 5+ years of experience in Data Analytics and Consulting using SAS, SQL, Python, MS Suite mandatory. AWS/Azure, SaaS, product (functional and technical) design, digital frameworks is preferred. Strong understanding in business optimization framework and techniques Demonstrated experience in handling Analytics Delivery & ROI frameworks. Ability to design data driven solutions and Frameworks (Descriptive and Predictive) from scratch & consult in a leadership capacity on potential Solutions/Storyboards and POCs Drives business metrics that add to the top-line and / or profitability for EXL revenue optimization business Develops Descriptive (reporting) through to Prescriptive Analytics frameworks Identifies and translates Business problems into data analytics/data science and communicate insights back to the stakeholders Domain understanding of US Healthcare value chain of Payers and Providers will be preferred. Excellent Written and verbal communication in English About EXL Health Payments Analytics: At EXL Health Payments Analytics Center of Excellence, we are looking for passionate individuals with growth/startup mindset to experiment, fail fast, learn and contribute to our 5 fold growth story of $200M to $1B EXL is considered Special investigation Unit by 6 of top 10 US health insurance companies (~1/3rd US healthcare data is handled by us) helping with error/overpayment detection of the hospital/doctor claims. Unlike typical Analytics services/consulting companies we make our revenue from the savings we identify for the client(i.e. Commission/Outcome basis). We develop and maintain algorithms and R&D accelerators that are intended to be used across multiple health insurance clients for the above business case. So expect an ecosystem that has : 1. 100+ members Analytics team of data enthusiasts, decision scientists and Business/Subject matter experts. 2. Massive Data Assets (Millions of structured data and thousands of unstructured records processed monthly) 3. Tech investment (On Prem GPUs, Azure, AWS, Databricks, On Prem- Hadoop-Hive, Hive etc) 4. Leadership push to Digitization, Data-led decisions and AI Our Typical day: Monitoring business performance and operations Problem solve by applying the different analytics levers or involving different teams doing -- ML models, SQL rules, Hospital Profiling, Pattern Mining etc to meet client savings target. The Analytics teams acts as the R&D and Operational excellence team who constantly find new patterns through all the state of art libraries, technologies from SQL queries to LLM agents.

The Infra Silicon team at Meta is responsible for designing and building in-house hardware accelerator Application-Specific Integrated Circuits (ASICs) to enhance Meta's computing proficiency with superior capacity and efficiency at lower power and cost. The team focuses on creating domain-specific System on Chips (SoCs) that enable Meta's data centers to execute computationally-intensive workloads, such as video transcoding and AI/ML, with higher performance and lower energy consumption. They are organized into several key areas, including architecture & algorithms, design & micro-architecture, design verification, implementation & backend design, emulation/prototyping, and system on chip (SoC), which collaborate extensively with other teams to deliver comprehensive solutions for various technical domains. Design Verification Engineer Responsibilities: Develop functional tests based on verification test plan Drive Design Verification to closure based on defined verification metrics on test plan, functional and code coverage Debug, root-cause and resolve functional failures in the design, partnering with the design/arch team Collaborate with cross-functional teams like Design, Model, Emulation and Silicon validation teams towards ensuring the highest design quality Minimum Qualifications: Currently has, or is in the process of obtaining a Bachelor's degree in Electronics Engineering, Computer Engineering, Computer Science, Very Large Scale Integration (VLSI), relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Experience using constrained-random, coverage driven verification or C/C++ verification Experience in verifying a IP block using standard Design Verification (DV) based techniques Experience in Electronic Design Automation (EDA) tools and scripting (Python, Tool Command Language (TCL), Perl, Shell) used to build tools and flows for verification environments Understanding in at least one of the following areas: computer architecture, Central Processing Unit (CPU), Graphics Processing Unit (GPU), networking, interconnects, fabrics or similar designs Preferred Qualifications: Currently has, or is in the process of obtaining, a Master’s degree in Electronics Engineering, Computer Engineering, Computer Science or similar technical field Experience in development of SystemVerilog/UVM based verification environments from scratch Experience debugging fails to the line of RTL, closing out bug fixes, using Verdi or equivalent debug tools Experience in verification of any peripheral IPs like UART, SPI, I2C and exposure to protocols like APB, AXI Experience working in a CPU/GPU environment Experience with revision control systems like Mercurial(Hg), Git or SVN About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Job Description Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Plotly, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Create visualizations to connect disparate data, find patterns and tell engaging stories. This includes both scientific visualization as well as geographic using software such as Power BI. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills.

About KNOWVESTA KNOWVESTA is a fast-growing digital marketing agency that blends expert knowledge with innovation to deliver outstanding results for businesses across industries. We are building a passionate team committed to client success — and we are looking for a high-energy Business Development Manager to drive growth and opportunity. Key Responsibilities Develop and implement effective business development strategies to drive agency growth. Identify, qualify, and secure new business opportunities through cold-calling, networking, client visits, and digital outreach. Build, maintain, and nurture long-term client relationships to foster repeat business and client loyalty. Understand client requirements and collaborate with internal teams (SEO, Content, Design, Development) to propose tailored digital marketing solutions. Prepare and deliver compelling pitches, presentations, and proposals to prospective clients. Meet and exceed monthly and quarterly sales targets. Conduct market research to identify trends, competitor analysis, and emerging opportunities in the digital marketing, AI sectors. Negotiate contracts and close agreements to maximize revenue. Maintain CRM systems and generate regular reports on business development activities and pipeline status. Required Qualifications Bachelor’s degree in Business Administration, Marketing, or a related field. 3+ years of experience in Business Development, Sales, or Client Relationship Management (preferably in digital marketing, advertising, or IT sectors). Proven track record of achieving and exceeding sales targets. Strong communication, negotiation, and interpersonal skills. Excellent organizational and time management abilities. Self-motivated, proactive, and able to thrive in a target-driven environment. Ability to work collaboratively with cross-functional teams. Preferred Skills Knowledge of Digital Marketing services (SEO, PPC, Social Media, Content Marketing, etc.) to deal with Clients. Understanding of emerging technologies such as AI (Artificial Intelligence) and ML (Machine Learning) is a plus. Experience with CRM tools and project management software. What We Offer Attractive salary package plus performance-based incentives. Career growth opportunities within a dynamic and rapidly scaling company. Exposure to a diverse range of clients and industries.

Job Summary We are looking for a skilled and motivated AI Engineer to join our team. The ideal candidate will have a strong foundation in Python, machine learning frameworks, and data science libraries. You will be responsible for developing, training, and deploying cutting-edge machine learning models, including applications in NLP, computer vision, and other AI domains. Key Responsibilities Develop and deploy machine learning models into production environments Train and fine-tune models using large and diverse datasets Implement AI techniques such as natural language processing (NLP), computer vision, and deep learning Collaborate with data scientists, ML engineers, and software developers to optimize model performance and scalability Utilize cloud-based AI services for scalable deployment and model management Required Skills & Qualifications 4+ year’s in Python and machine learning frameworks like TensorFlow or PyTorch 2+ year's experience with data science libraries such as NumPy, Pandas, and Scikit-learn 2+ year's experience of supervised, unsupervised, and deep learning techniques Familiarity with cloud AI services (e.g., AWS SageMaker, Google AI Platform, Azure ML) Strong problem-solving skills and ability to work in a fast-paced environment Preferred Qualifications Experience with model monitoring and performance tuning in production Exposure to MLOps tools and CI/CD for ML pipelines Understanding of model explainability and ethical AI practices Why Join Us Build with Purpose: Work on impactful, high-scale products that solve real problems using cutting-edge technologies. Tech-First Culture: Join a team where engineering is at the core — we prioritize clean code, scalability, automation, and continuous learning. Freedom to Innovate: You’ll have ownership from day one — with room to experiment, influence architecture, and bring your ideas to life. Collaborate with the Best: Work alongside passionate engineers, product thinkers, and designers who value clarity, speed, and technical excellence. Paladin Tech is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace and welcome candidates of all backgrounds and identities. Job Types: Full-time, Permanent Schedule: Day shift Work Location: In person

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Qualification 5+ Years Experience as Node.JS 5+ Years Experience as MongoDB Experience with Angular/ React.js is an added advantage. Strong foundation in MongoDB and Cassandra DBs. Ensure code quality : Ensure that the code is of high quality, meets coding standards, is well-documented Resolve technical issues: Expertise in code reviewing, Identify and resolve technical issues that arise during development and guide the team to create effective and reusable coding. Sound knowledge in creating semi-automated approach for code review, functional check, file handling operations, Database queries, global variables, etc. Must have strong debugging and troubleshooting skills, with solid understanding of logging and exception handling Knowledge on AI / ML / computer vision-based applications. Strong communication skills Job location: Trivandrum Job Types: Full-time, Permanent Location Type: In-person Schedule: Day shift Work Location: In person

Essential Skills Enthusiasm for building analytics & data science solution, keeping up with latest trends Analytical mindset and experience in building Data Science solutions. Experience in solving business problems using Data. Strategic Mindset with a Customer Focus Ability to articulate complex issues and desired outcomes of analytical output Proven analytical skills and evidence-based decision making Excellent problem solving, troubleshooting & documentation skills Excellent written and verbal communication skills Excellent collaboration and interpersonal skills Ability to innovate, adapt and grasp new skills and content Ability to work closely with key stakeholders and build collaborative partnerships Ability to share complex data & Data science approach with business stakeholders Ability to self-manage tasks aligning with business outcome. Proactively gathering feedback and continuously improving Proven ability to experiment with different Data Science packages to deliver business value. Ability to modify data science solution based on enterprise technology stack It is expected that the role holder will most likely have the following qualifications and experience 15+ years’ experience leading Machine learning engineers, Data Scientists Lead teams to build and deploy machine learning models to achieve business outcomes. Proficient users in SQL, Python, PySpark, Spark ML language. Good understanding of cloud platforms such as Databricks (preferred), AWS, Azure or GCP. Proficient in source code controls using GitHub. Highly developed data analytic skills, working with structured, semi-structured unstructured datasets Experience is using different data science packages to solve business problems. Good understanding of customer data, digital data, data science landscape Ability to provide data-driven insights to support decision making or improve customer experience. Explore new methodologies to solve business problems in a collaborative way. Strong stakeholder management and influencing skills to shape the Data Science backlog with stakeholders. Strong communications skills, able to convey complex messages simply and effectively. Ability to visualise data with different data visualisation tools to share insights with stakeholder. Lead the use of Data Science techniques across marketing to provide data-driven insights and support strategic decision making across teams. Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and advanced analytics across the teams. Present analytical findings using data visualisation tools and creation of insight presentations for various audiences. Development of new or improved analytic techniques to support customers met and un-met financial needs. Qualification: A bachelor's or postgraduate degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or other relevant fields of study. Evidence of short courses to update skills based on changing Data or Data Science landscape. Key Decisions Key Accountabilities Lead the use of advanced data science techniques across Marketing use cases to provide data-driven insights and support strategic decision making across teams. Lead the enhancement of feature store and feature engineering techniques for Marketing use cases. Leverage online (Adobe Analytics) data in Marketing use cases. Deliver on AI/ML roadmap for Marketing based on the architecture and platform capability. Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and data science techniques across the teams. Present analytical findings using data visualisation tools and creation of insight presentations for senior stakeholders. Development of new or improved analytic techniques to support customers unmet financial needs. Job Types: Full-time, Permanent Pay: ₹6,500,000.00 - ₹75,000,000.00 per year Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Yearly bonus Application Question(s): Do you have experience in delivering an AI/ML roadmap for Marketing based on the architecture and platform capability? Experience: Data science: 10 years (Required) Work Location: In person

SUMMARY As part of the Capacity Building unit, the Associate will play a key role in the end-to-end development and execution of AI Skilling initiatives. They will work closely with donors, training partners, and beneficiaries to ensure high-quality, contextualised learning experiences for civil servants, policymakers, last-mile workers, rural communities, and youth across India.. The associate, in their role, will be able to develop project management, program design, stakeholder management, content development, and fundraising support as a skillset. They will be able to contribute to technology-driven impact, especially in low-resource settings. Location - Delhi ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Sole Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows Cultures page of Wadhwani AI - https://www.wadhwaniai.org/culture/ ROLES AND RESPONSIBILITIES Support the design and implementation of AI skilling programs tailored for diverse cohorts that include policymakers at multilateral and government institutions as well as beneficiaries from rural and underserved populations Assist in drafting grant proposals, concept notes and donor communication materials Aid in the project management and delivery of various capacity building initiatives that include the management of project timelines, budgets, and coordination with internal teams, partner organizations, and stakeholders to ensure smooth program delivery Manage and track project milestones, reporting requirements, and impact metrics Contribute to training content development and localisation for diverse learner profiles Liase between instructional designers, product teams and AI teams to integrate real-world applications of AI into relevant training programs Represent Wadhwani AI’s Capacity Building unit in workshops, donor meetings, and community interactions Assist in facilitation of training workshops and take ownership of training sessions along with co-facilitators while monitoring participant interactions, questions and feedback after the session REQUIREMENTS Empathy and cultural sensitivity towards underserved communities Bachelor’s or Master’s degree in education, development studies, public policy, social sciences or a related field One year of relevant work experience in community development, ed-tech, classroom education, skilling or skill development programs Excellent written and verbal communication skills in Hindi and English; fluency in Hindi for verbal communication with stakeholders and beneficiaries is mandatory Strong project management skills; ability to manage timelines, budgets, and multiple stakeholders Ability to store, manage and analyse data using Excel and create dashboards on Excel Good to have: Exposure to AI, digital literacy, technology for development programs Experience working in rural environments, especially in education and skilling domains Understanding of instructional design or curriculum development is a plus Demonstrated ability to write grant proposals, reports, and communication material for funders We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability. If you have any questions, please email us at careers@wadhwaniai.org.

About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications—not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,100,000.00 per year Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Supplemental Pay: Yearly bonus Application Question(s): What is your Notice Period? What is your current and expected CTC? Work Location: In person

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri's R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) #LI-Hybrid #LI-PK1 The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here. If you don't meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.