124 Mllib Jobs

About the Team The Data Science team at Navi plays a central role in building intelligent solutions that power our products and drive business impact. We work across key domains such as Lending, Collections, KYC, UPI Growth and Ads recommendation, applying advanced machine learning/deep learning/GenAI techniques to solve high-impact challenges. Our work involves a diverse range of data types—including text, image, and tabular data—and we closely collaborate with cross-functional teams like Product, Business, Engineering, etc. to deliver end-to-end solutions. About the Role As a Data Scientist 3 at Navi, you’ll be an integral part of a team that’s building scalable and efficient solutions across lending, insurance, investments, and UPI. You won’t just be solving predefined problems - you’ll identify the problems and solve for getting high business impact. This role offers the opportunity to lead high-impact data science initiatives that directly influence strategic business decisions. It involves working at the intersection of advanced machine learning, large-scale data processing, and cross-functional collaboration, with a focus on building scalable solutions and fostering a culture of technical excellence and innovation within the team. What We Expect From You Strategic Project Leadership: Drive end-to-end delivery of high-impact data science initiatives, from conception and prototyping to large-scale deployment, ensuring alignment with business goals and measurable outcomes. Stakeholder Management & Cross-Functional Leadership: Proactively engage and influence stakeholders across Product, Engineering, Business, and Executive teams, shaping problem definitions and championing data-driven decision making. Technical Depth & Thought Leadership : Demonstrate deep expertise across machine learning and deep learning concepts, setting technical direction and solving highly complex, ambiguous problems. Advanced Data Solutions: Architect and deliver solutions across diverse data types—tabular, text, image, and speech—leveraging cutting-edge models and best practices to drive business value at scale. Innovation & Research: Lead experimentation with emerging algorithms and technologies, fostering a culture of innovation and staying ahead of industry trends, especially in the fintech domain. Robust Model Governance: Establish and uphold best practices for model validation, monitoring, performance tracking, and risk management in production environments, ensuring reliability and compliance. Mentorship & Team Development: Mentor and guide junior team members, facilitate technical reviews, and actively contribute to a culture of knowledge sharing, continuous learning, and technical excellence within the team. Must Haves Bachelor’s or higher degree in Computer Science, Electrical Engineering, or a quantitative field, with a demonstrated research mindset and 5+ years of relevant experience Deep understanding of modern machine learning techniques, underlying mathematics , and hands-on experience with key ML frameworks (such as scikit-learn, Keras, TensorFlow, PySpark, MLlib, etc.) Strong foundation in statistics, machine learning (e.g., Random Forests, XGBoost, SVMs), and inference techniques, with expertise in hypothesis testing, simulations, and optimization methodologies. Proven experience working with distributed computing platforms for large-scale data processing and model training Strong programming skills, preferably in Python , Scala, or similar languages Demonstrated ability to drive large-scale machine learning projects end to end—from problem formulation and data preparation to deployment and monitoring Proven track record of delivering high business impact through data science solutions in previous roles Experience leading projects with multiple team members and/or mentoring junior colleagues is preferred Inside Navi We are shaping the future of financial services for a billion Indians through products that are simple, accessible, and affordable. From Personal & Home Loans to UPI, Insurance, Mutual Funds, and Gold — we’re building tech-first solutions that work at scale, with a strong customer-first approach. Founded by Sachin Bansal & Ankit Agarwal in 2018, we are one of India’s fastest-growing financial services organisations. But we’re just getting started! Our Culture The Navi DNA Ambition. Perseverance. Self-awareness. Ownership. Integrity. We’re looking for people who dream big when it comes to innovation. At Navi, you’ll be empowered with the right mechanisms to work in a dynamic team that builds and improves innovative solutions. If you’re driven to deliver real value to customers, no matter the challenge, this is the place for you. We chase excellence by uplifting each other—and that starts with every one of us. Why You'll Thrive at Navi At Navi, it’s about how you think, build, and grow. You’ll thrive here if: You’re impact-driven : You take ownership, build boldly, and care about making a real difference. You strive for excellence : Good isn’t good enough. You bring focus, precision, and a passion for quality. You embrace change : You adapt quickly, move fast, and always put the customer first.

Experience: 7+years Location: Bangalore Work mode: Hybrid Notice Period: Immediate-30days Mandatory Skills: Data Science, Machine Learning, Artificial Intelligence , Statistics , Deep Learning [Technology and Sub-technology] Technology name: Machine Learning, Statistics, Deep Learning, ML Ops , Data Analytics covering: NLP Linear Regression Classification & Clustering Transfer Learning NLP Forecasting based Models & Algorithms Large Language Models Machine learning frameworks such as TensorFlow, PyTorch, MLlib etc. Data Bricks Sub-technology name: Python, SQL, Spark, Kubernetes, Jenkins, Prometheus [Qualifications] master’s degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent experience. 5+ years of experience in Data Science Experience in developing production-level large-scale ML models and data pipelines. Experience with Python or Scala or Java. Industry work experience in designing and implementing machine learning-based solutions that ideally include online safety, voice-activated conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing. Strong machine learning, statistical and analytical skills. [Job Overview]: We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other Data Scientists, ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC’s. Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level, which includes conducting learning sessions across teams and monitoring the progress of the team members. [Primary Skills]: ● Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalization’s, search, virtual assistant, time series forecasting and more. ● Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning. ● Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders. ● Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies ● Produce reusable code according to standard methodologies in Python, Scala or Java ● Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews. [Good to have Skills]: SQL, Data Analysis, Gaming Industry knowledge [Responsibilities and Duties]: Lead dedicated team of software engineers to architect, build, deploy and support best-in-class software services that are always available to provide the best gaming experience for our customers. Build and develop a high energy, committed, motivated engineering team focusing on engineering and operational excellence to deliver awesome business results. Collaborate across business units and product teams to develop and execute against the team's vision, strategy, and roadmap. Use technical expertise and industry trends to influence software development standard methodologies. Handle day-to-day activities of engineering team using Agile/Scrum methodology. Job Types: Full-time, Permanent, Contractual / Temporary Pay: ₹2,400,000.00 - ₹2,900,000.00 per year Ability to commute/relocate: Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Notice period Current CTC Expected CTC Experience: AI: 3 years (Required) A/B testing: 4 years (Required) Python/Java/Scala: 4 years (Required) Statistics: 3 years (Required) Total: 7 years (Required) Developing production-level large-scale ML models: 5 years (Required) Deep learning: 4 years (Required) Work Location: In person

FalconX is a pioneering team dedicated to transforming institutional access to the crypto markets by operating at the convergence of traditional finance and cutting-edge technology. The digital asset market is often complex and fragmented, lacking in products and services that cater to trading strategies, structures, and liquidity analogous to conventional financial markets. FalconX serves as a comprehensive solution for digital asset strategies from inception to expansion, acting as the connective tissue that enables clients to seamlessly navigate the dynamic cryptocurrency landscape. You will be a part of the Focal team, formerly known as Satoshi, an AI-powered financial analysis platform catering to institutional clients in the digital asset trading domain. The team focuses on advanced AI applications that process financial documents, analyze market data, and offer intelligent insights for trading and investment decisions. As a Frontend Engineer at FalconX, your responsibilities include leveraging cutting-edge processes and technology to develop scalable, distributed, and fault-tolerant site/software systems. You will research and assess new methodologies and technologies to enhance the quality, reliability, and performance of frontend engineering systems and processes. Emphasizing a consumer-centric approach, you will optimize application builds for superior user experience, construct responsive interfaces capable of handling real-time market data and extensive financial datasets, and collaborate with senior and junior frontend teams to prioritize and estimate new features and enhancements. The ideal candidate for this role should possess a minimum of 6 years of software engineering experience, with at least 3+ years in React and Redux Framework. Proficiency in CSS3, HTML5, and JavaScript, along with experience in Bootstrap and Webpack, is essential. Strong knowledge of cross-browser compatibility and UI/UX design principles is required, as well as excellent time management, multi-tasking, and communication skills. Additionally, familiarity with data structures, algorithms, and asynchronous architectures, experience with TypeScript, Redux Toolkit, and RTK Query for state management, and proficiency in data visualization libraries such as D3.js, ECharts, ApexCharts, AG-Grid, and Plotly.js are preferred. Experience with real-time data streaming, WebSocket implementations, financial data handling, Material-UI (MUI) component library, and Tailwind CSS is advantageous. Candidates with machine learning experience in TensorFlow, MLlib, H2O, and AI/ML integration in frontend applications are encouraged to apply. FalconX is committed to fostering a diverse, inclusive, equitable, and safe workspace for all individuals, regardless of background or experience. Applicants from all walks of life are encouraged to apply, and FalconX ensures that reasonable accommodations are available to applicants with disabilities under the Americans with Disabilities Act and other relevant laws. If you require assistance during the application process, please reach out to FalconX's People team at recruiting@falconx.io.,

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description Are you passionate about solving complex logistics challenges? Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Research Scientist, you will join a team dedicated to optimizing our delivery network, ensuring reliable and efficient service to our customers. We are seeking an enthusiastic, customer-centric professional with strong analytical capabilities to drive impactful projects, implement advanced solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of our delivery operations. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications. Basic Qualifications 3+ years of building machine learning models for business application experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 3+ years of extensive relevant research experience Deep expertise in Machine Learning Proficiency in programming Core competency in mathematics and statistics Track record of successful projects in algorithm design and product development Publications at peer-reviewed conferences or journals Strategic thinker with good execution skills Exhibits excellent business judgment Effective verbal and written communication skills Experience working with real-world data sets and building scalable models from big data Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow Experience with large scale distributed systems Basic Qualifications 3+ years of building machine learning models for business application experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 3+ years of relevant, broad research experience Deep expertise in Machine Learning Proficiency in programming core competency in mathematics and statistics. Track record of successful projects in algorithm design and product development. Publications at top-tier peer-reviewed conferences or journals. prior experience with mentorship and/or management of scientists Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business Effective verbal and written communication skills Experience working with real-world data sets and building scalable models from big data. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION Are you passionate about solving complex logistics challenges Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Research Scientist, you will join a team dedicated to optimizing our delivery network, ensuring reliable and efficient service to our customers. We are seeking an enthusiastic, customer-centric professional with strong analytical capabilities to drive impactful projects, implement advanced solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of our delivery operations. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications. Basic qualifications . 3+ years of building machine learning models for business application experience . Knowledge of programming languages such as C/C++, Python, Java or Perl . Experience programming in Java, C++, Python or related language . Experience with neural deep learning methods and machine learning Preferred qualifications: . PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field . 3+ years of extensive relevant research experience . Deep expertise in Machine Learning . Proficiency in programming . Core competency in mathematics and statistics . Track record of successful projects in algorithm design and product development . Publications at peer-reviewed conferences or journals . Strategic thinker with good execution skills . Exhibits excellent business judgment . Effective verbal and written communication skills . Experience working with real-world data sets and building scalable models from big data . Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow . Experience with large scale distributed systems BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 3+ years of relevant, broad research experience - Deep expertise in Machine Learning - Proficiency in programming - core competency in mathematics and statistics. - Track record of successful projects in algorithm design and product development. - Publications at top-tier peer-reviewed conferences or journals. - prior experience with mentorship and/or management of scientists - Thinks strategically, but stays on top of tactical execution. - Exhibits excellent business judgment balances business - Effective verbal and written communication skills - Experience working with real-world data sets and building scalable models from big data. - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, - Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description Are you passionate about solving complex logistics challenges? Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Research Scientist, you will join a team dedicated to optimizing our delivery network, ensuring reliable and efficient service to our customers. We are seeking an enthusiastic, customer-centric professional with strong analytical capabilities to drive impactful projects, implement advanced solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of our delivery operations. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications. Basic Qualifications 3+ years of building machine learning models for business application experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 3+ years of extensive relevant research experience Deep expertise in Machine Learning Proficiency in programming Core competency in mathematics and statistics Track record of successful projects in algorithm design and product development Publications at peer-reviewed conferences or journals Strategic thinker with good execution skills Exhibits excellent business judgment Effective verbal and written communication skills Experience working with real-world data sets and building scalable models from big data Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow Experience with large scale distributed systems Basic Qualifications 3+ years of building machine learning models for business application experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 3+ years of relevant, broad research experience Deep expertise in Machine Learning Proficiency in programming core competency in mathematics and statistics. Track record of successful projects in algorithm design and product development. Publications at top-tier peer-reviewed conferences or journals. prior experience with mentorship and/or management of scientists Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business Effective verbal and written communication skills Experience working with real-world data sets and building scalable models from big data. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3075733

You will be responsible for building, improving, and extending NLP capabilities. Your tasks will include selecting proper annotated datasets for supervised learning techniques, using effective text representation techniques to develop useful features, identifying and utilizing correct algorithms for specific NLP projects, developing NLP projects as per prescribed requirements, training developed NLP models, and evaluating their effectiveness. Additionally, you will conduct statistical analyses of models, adjust models where necessary, and extend machine learning frameworks and libraries for NLP projects. The ideal candidate should have 2-4 years of experience in Analytics and Machine Learning & Deep Learning, including expertise in areas such as Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU), and Natural Language Generation (NLG). You are expected to possess good experience in Web Scraping or data extraction through Selenium/Scrapy or other frameworks and related libraries like BeautifulSoup. Knowledge of advanced scraping techniques such as overcoming captcha, proxy, browser fingerprinting, and bot detection bypassing is preferred. You should have a working knowledge of various databases like MySQL, HBase, MongoDB, message queues, and Web RestFul APIs. Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, Gensim, LingPipe, Keras, TensorFlow, Mallet, ML/math toolkits like scikit-learn, MLlib, Theano, NumPy, etc., is essential. Experience in testing and deployment of machine learning/deep learning projects on the desired platform is required. Strong logical and analytical skills along with good soft and communication skills are desired qualities. Desirable certifications for this role include Google Tensor Flow, Hadoop, Python, PySpark, SQL, and R.,

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly skilled strong analytical background to work in our Analytics Consulting practice Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Years of Experience: Candidates with 2+ years of hands on experience Must Have Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, AWS SageMaker or Databricks) Knowledge of predictive/prescriptive analytics, especially on usage of Log-Log, Log-Linear, Bayesian Regression technques and including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) Advanced level programming in SQL or Python/Pyspark Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Nice To Have Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow) Good Communication and presentation skills Roles And Responsibilities Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly skilled strong analytical background to work in our Analytics Consulting practice Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Years of Experience: Candidates with 2+ years of hands on experience Must Have Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, AWS SageMaker or Databricks) Knowledge of predictive/prescriptive analytics, especially on usage of Log-Log, Log-Linear, Bayesian Regression technques and including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) Advanced level programming in SQL or Python/Pyspark Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Nice To Have Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow) Good Communication and presentation skills Roles And Responsibilities Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

Data Engineer Navi Mumbai, MH Job Description: As a Senior Data Engineer, you will leverage advanced data engineering techniques and analytics to support business decisions for the client. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders. Experience: Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects Develop scalable streaming and batch solutions using cloud-native components. Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalization, utilizing Databricks and related technologies. Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows. Technical Skills: Expert-level proficiency in Spark Scala, Python, and PySpark. In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling. Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce. Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions. Databricks Specific Skills: Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP). Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration. Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines. Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities. Certifications: Certification in Databricks Engineering (Professional) Microsoft Certified: Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified Solutions Architect Professional

About the Team The Data Science team at Navi plays a central role in building intelligent solutions that power our products and drive business impact. We work across key domains such as Lending, Collections, KYC, UPI Growth and Ads recommendation, applying advanced machine learning/deep learning/GenAI techniques to solve high-impact challenges. Our work involves a diverse range of data types—including text, image, and tabular data—and we closely collaborate with cross-functional teams like Product, Business, Engineering, etc. to deliver end-to-end solutions. About the Role As a Principal Data Scientist at Navi, you will play a pivotal role in defining and advancing the data science vision across the organization. This role offers the unique opportunity to lead cross-functional, enterprise-level data science initiatives that have a direct and lasting impact on Navi’s most critical business strategies. You will operate at the forefront of advanced machine learning, large-scale data engineering, and domain innovation—architecting and deploying scalable solutions that set industry benchmarks. Collaborating with senior leaders across multiple business units, you will address Navi’s most complex and high-value challenges, foster a culture of technical excellence, drive innovation, and develop the next generation of data science talent. Your leadership will be instrumental in establishing data science as a key strategic differentiator for Navi’s future growth. What We Expect From You Enterprise-Level Project Leadership : Drive and oversee high-impact, cross-functional data science programs that span multiple domains and business units. Set the vision, structure project teams, define success metrics, and ensure execution at scale. Thought Leadership & Technical Strategy : Shape the data science roadmap for the organization. Champion state-of-the-art approaches, set technical standards, and guide teams in solving ambiguous, high-stakes business problems. Mentorship, Coaching & Talent Development : Develop, mentor, and inspire a diverse team of senior data scientists and leads. Foster a culture of continuous learning, knowledge sharing, and technical excellence across the entire data science organization. Innovation & Rapid Prototyping : Identify emerging opportunities and lead the development of POCs using the latest ML and AI advancements, ensuring rapid experimentation and best-in-class solution delivery. Strategic Cross-Functional Influence : Cultivate and maintain strong partnerships with executive leadership, business, product, engineering, and analytics teams. Influence business priorities, evangelize data-driven decision-making, and translate insights into high-impact actions. Governance & Model Excellence : Define and enforce industry-leading standards for model development, deployment, validation, monitoring, and lifecycle management. Ensure solutions are reliable, scalable, and deliver sustained business impact. Organizational Impact : Drive the adoption of best practices in MLOps, code management, experiment design, cost optimization, and monitoring frameworks across teams. Lead quarterly, annual, and long-term planning for the data science organization and contribute to company-wide strategic initiatives. Opportunity Identification & Value Creation: Work closely with business and product leaders to proactively surface and prioritize opportunities where data science can unlock transformative business value for Navi. Must Haves Master’s or Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Economics, or a quantitative discipline, with a research-oriented mindset and at least 10 years of experience in data science, advanced analytics, or related fields Demonstrated thought leadership and deep expertise in modern machine learning techniques, advanced statistical methods, and hands-on experience with leading ML frameworks (e.g., scikit-learn, Keras, TensorFlow, PySpark, MLlib, etc.) Proven experience in leading and delivering large-scale, cross-functional data science projects end-to-end, including problem framing, modeling, deployment, monitoring, and continuous improvement Significant experience mentoring and developing senior data scientists; demonstrated ability to set and drive technical vision for large teams Strong business acumen and a history of translating data-driven insights into actionable, high-impact business strategies Deep expertise in experiment design, A/B and multivariate testing, and measurement frameworks to optimize data science solutions Excellent communication, stakeholder management, and executive influencing skills, with a track record of working across business, product, engineering, and leadership functions Proven ability to drive innovation, operationalize best practices in MLOps, and stay at the cutting edge of machine learning and AI advancements Inside Navi We are shaping the future of financial services for a billion Indians through products that are simple, accessible, and affordable. From Personal & Home Loans to UPI, Insurance, Mutual Funds, and Gold — we’re building tech-first solutions that work at scale, with a strong customer-first approach. Founded by Sachin Bansal & Ankit Agarwal in 2018, we are one of India’s fastest-growing financial services organisations. But we’re just getting started! Our Culture The Navi DNA Ambition. Perseverance. Self-awareness. Ownership. Integrity. We’re looking for people who dream big when it comes to innovation. At Navi, you’ll be empowered with the right mechanisms to work in a dynamic team that builds and improves innovative solutions. If you’re driven to deliver real value to customers, no matter the challenge, this is the place for you. We chase excellence by uplifting each other—and that starts with every one of us. Why You'll Thrive at Navi At Navi, it’s about how you think, build, and grow. You’ll thrive here if: You’re impact-driven : You take ownership, build boldly, and care about making a real difference. You strive for excellence : Good isn’t good enough. You bring focus, precision, and a passion for quality. You embrace change : You adapt quickly, move fast, and always put the customer first.

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. As an AI Engineer at EY, your role involves leading the design, development, and deployment of advanced generative AI models, including large language models (LLMs), to drive innovation and solve complex business challenges. You will oversee the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization, ensuring best practices and high-quality outcomes. Additionally, you will work on developing and deploying machine learning algorithms, ensuring that models are optimized for performance and scalability. In this position, you will also have the opportunity to mentor and guide junior data scientists, fostering a collaborative environment and promoting knowledge sharing of cutting-edge techniques and tools. Collaboration with cross-functional teams to integrate AI-driven insights into products and services, translating sophisticated models into practical, scalable solutions that drive measurable impact, is a key aspect of this role. Key Responsibilities: - Implementing AI solutions that seamlessly integrate with existing business systems to enhance functionality and user interaction. - Reviewing complex data sets to establish data quality and identifying where data cleansing is required for data remediation. - Designing and implementing data models to manage data within the organization. - Migrating data from one system to another using multiple sources and identifying and implementing storage requirements. - Analyzing the latest trends such as cloud computing and distributed processing, and their applications in business to build industry knowledge. - Peer reviewing models and collaborating with relevant business areas to ensure they are fit for the designed purpose. - Automating essential infrastructure for the data science team. - Staying up-to-date with AI trends and suggesting improvements to existing systems and workflows. Skills and Attributes for Success: - 8+ years of experience in machine learning, large scale data acquisition, transformation, and cleaning, for both structured and unstructured data. - Experience with generative LLM fine-tuning and prompt engineering. - Proficiency in data wrangling, visualization, and modeling in Python. - Experience in ML/NLP algorithms, including supervised and unsupervised learning. - Good knowledge of cloud ecosystems, with preference for experience in Azure. - Experience in machine learning frameworks and tools (e.g., sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib). - Strong programming skills in Python. - Experience with tools in distributed computing, GPU, cloud platforms, and Big Data domains (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks) is a plus. - Experience with SQL, Document DBs, and Vector DBs. - Batch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period. - Data Visualization and storytelling - Capability to assimilate and present data, as well as more advanced visualization techniques. Capability to engage and explain data creating a narrative around data visualization. - Knowledge of containerization platforms like Docker is a plus. - Experience with Git and modern software development workflow. Non-Technical Skills: - Strong team and business communication skills to effectively communicate with technical clients or explain complex concepts to non-technical individuals. - Ability to thrive in a fast-paced environment and work independently. - Excellent communication skills. Education: - Bachelor/Master/PG in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences, or related fields preferred. What we look for: - Strong analytical skills and problem-solving ability. - A self-starter, independent-thinker, curious, and creative person with ambition and passion. - Excellent inter-personal, communication, collaboration, and presentation skills. - Customer-focused. - Excellent time management skills. - Positive and constructive mindset. - Takes responsibility for continuous self-learning. - Takes the lead and makes decisions in critical times and tough circumstances. - Attention to detail. - High levels of integrity and honesty. EY | Building a better working world EY exists to build a better working world, helping create long-term value for clients, people, and society while building 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.,

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Senior Machine Learning Engineer Are you fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end consumers? This is exactly what we, the Machine Learning Engineering group in Expedia, do. Our mission is to partner with our Machine Learning Science counterparts to use AI/ML to collaboratively transform Expedia’s data assets into intelligent and real-time insights to support a variety of applications which are used by 1000+ market managers, analysts, our supply partners, and our travelers. Our work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, Sagemaker, Airflow, Databricks, Kubernetes, AWS and much more! In This Role, You Will Work in a cross-functional team of Machine Learning engineers and Data scientists to design and code large scale batch and real-time data pipelines on the AWS Design, implement and deploy large scale data pipelines (both real time and batch) and back-end services on Big Data and AWS platforms Lead the end-to-end product life cycle for mid to large machine learning/data engineering projects: Design, development, model validation/testing, model deployment, and providing operational excellence and support Find and advocate for Industry standards and best practices in machine learning engineering methodologies, techniques, and technologies Contribute to advancing the team's design methodology and quality programming practices and mentor junior team members to adapt best practices Innovate and implement new ideas to solve complex software problems and prototype creative solutions to enable product MVP's Independently understand scheduling, cost constraints, and impact to other teams; and make resource and architectural trade-offs based on those factors Anticipate and prevent problems and roadblocks, before they occur, and present technical issues and their impact to leadership Lead, coordinate, and collaborate on multiple concurrent and complex cross-organizational initiatives Effectively build and maintain a network of key contacts across company, and leverage these contacts to achieve results Communicate and work effectively with geographically distributed cross functional teams Drive for continuous improvement in software and development process within an agile development team Experience And Qualifications Bachelor's or Master's Degree in software engineering, computer science, informatics or in a related technical field; or equivalent related professional experience 8 to 10+ years of work experience in software engineering 4+ years’ experience in designing and implementing Big Data applications (data ingestion, real-time data processing and batch analytics) in Spark Streaming, Kafka, Hadoop Experience on Hadoop-ecosystem technologies in particular MapReduce, Spark, Hive, YARN Experience in productionizing machine learning models including feature engineering, model scalability, model validation, and model deployment Solid server-side programming skills in multiple languages (Scala/Java and Python), and hands-on experience in OOAD, design patterns, NoSQL and SQL Strong experience with cloud computing platforms (AWS, EMR, Kubernetes, Docker) Strong experience working with ML platforms (Databricks, SageMaker, etc.) Solid knowledge in SQL (T-SQL/PL-SQL), ETL and data modelling Experience with microservice architecture, and design Experience on machine learning toolkits like spark mllib, H20, scikit-learn, R and ML techniques Strong command with machine learning libraries such as PyTorch and Tensorflow and knowledge of common integration patterns for serving inference with them Familiar with training models with very large datasets- strategies for parallelizing and optimizing the training jobs especially with GPUs or large-compute You have hands-on experience with workflow management tools (e.g. Airflow) Familiar with machine learning inference at scale. Can instrument streaming or parallel inference tasks to accommodate large traffic or volume of data Experience working with Agile/Scrum methodologies Familiarity with the e-commerce or travel industry Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

The ML Platform Specialist role involves designing, implementing, and maintaining machine learning infrastructure and workflows on the Databricks Lakehouse Platform. Your primary responsibility will be to ensure the successful deployment, monitoring, and scaling of machine learning models across the organization. You will design and implement scalable ML infrastructure on the Databricks Lakehouse Platform, develop CI/CD pipelines for machine learning models, and create automated testing and validation processes using Databricks MLflow. Additionally, you will be responsible for managing model monitoring systems, collaborating with various teams to optimize machine learning workflows, and maintaining reproducible machine learning environments using Databricks Notebooks and clusters. Furthermore, you will implement advanced feature engineering and management using the Databricks Feature Store, optimize machine learning model performance, and ensure data governance, security, and compliance within the Databricks environment. Your role will also involve creating and maintaining comprehensive documentation for ML infrastructure and processes, as well as working across teams from multiple suppliers to drive continuous improvement and transformation initiatives for MLOps/DataOps. To be successful in this role, you should have a Bachelor's or Master's degree in computer science, Machine Learning, Data Engineering, or a related field, along with 3-5 years of experience in ML Ops with expertise in Databricks and/or Azure ML. You should possess advanced proficiency with the Databricks Lakehouse Platform, strong experience with Databricks MLflow, and expert-level programming skills in Python, including knowledge of PySpark, MLlib, Delta Lake, and Azure ML SDK. Moreover, you should have a deep understanding of Databricks Feature Store and Feature Engineering techniques, experience with Databricks workflows and job scheduling, and proficiency in machine learning frameworks compatible with Databricks and Azure ML such as TensorFlow, PyTorch, and scikit-learn. Knowledge of cloud platforms like Azure Databricks, Azure DevOps, and Azure ML, as well as exposure to Terraform, ARM/BICEP, distributed computing, and big data processing techniques, will be essential for this role. Experience with Containerization, WebApps Kubernetes, Cognitive Services, and other MLOps tools will be considered a plus, as you contribute to the continuous improvement and transformation of MLOps/DataOps in the organization.,

Machine Learning Scientist I, Predictive Search & Guidance Location: Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team&aposs hybrid work schedule requirements. Who we are Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this Wayfair builds and leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. Wayfairs Search, Marketing, and Recommendations ML teams build algorithmic systems that drive our business, enhance customer experience, and improve customer loyalty powering what our customers see on and off our site at web scale. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact. What youll do Design, build, deploy and refine large-scale machine learning/AI models and algorithmic decision-making systems that solve real-world problems for customers Work cross-functionally with commercial stakeholders, engineers, analysts, and product managers to understand business problems or opportunities and develop appropriately scoped ML solutions Collaborate closely with various infrastructure, and ML platform teams to develop production grade services that follow best-practices in how we build and deploy scalable ML services Build cutting edge robust ML models and systems that directly impact our customers every day Identify new opportunities and insights from the data (where can the models be improved what is the projected ROI of a proposed modification) Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on What youll need 1+ years of industry experience with a Master&aposs or a Bachelor&aposs degree in Computer Science, Mathematics, Statistics, or related field. Proficiency in Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) A strong theoretical understanding and solid hands-on experience working with machine learning algorithms. Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity and efficiency Intellectual curiosity and enthusiasm about continuous learning Nice to have Some prior experience or a high-level understanding of search, recommendations and ranking in an e-commerce setting would be a strong plus. Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) experience or Java experience Familiarity with cloud based compute approaches GCP (or AWS, Azure), ML model development frameworks, and ML orchestration tools (Airflow, Kubeflow, VertexAI, etc) Experience with Kubernetes and Docker Clear track record of publishing or work related projects showing ability to develop cutting edge AI systems. About Wayfair Inc. Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, were reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. Were a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair and world for all. Every voice, every perspective matters. Thats why were proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice ( https://www.wayfair.com/careers/privacy ). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at [HIDDEN TEXT] . Show more Show less

Machine Learning Scientist II, Predictive Search & Guidance Location: Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team&aposs hybrid work schedule requirements. Who we are Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. The Search, Marketing, and Recommendations technology science team (SMART) builds and owns all the Machine learning (ML) products that power all search, marketing, and recommendations technology across Wayfair. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods, to driving marketing experiences customers love all at web scale. We are looking for machine-learning scientists for research and development of the ML systems that power our real-time Search Type-ahead, Search Guidance, Query Refinement and Recommendation, and Query Understanding and Interpretation capabilities. In this role, youll partner with fellow scientists, engineers, analysts, and product managers to apply science and machine learning skills to directly impact Wayfairs revenue. What youll do Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions Collaborate closely with various engineering, infrastructure, and ML platform teams to ensure adoption of best-practices in how we build and deploy scalable ML services Identify new opportunities and insights from the data (where can the models be improved what is the projected ROI of a proposed modification) Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on. What youll need 3+ years of industry experience with a Bachelor/ Masters degree or minimum of 1-2 years of industry experience with PhD in Computer Science, Mathematics, Statistics, or related field. Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, etc. Solid understanding of algorithms for search ranking, relevance, NLP, or recommender systems. Good proficiency in the Python ML ecosystem (pandas, NumPy, scikit-learn, XGBoost, etc.). Solid hands-on expertise deploying machine learning solutions into production Strong written and verbal communication skills. Intellectual curiosity and enthusiasm about continuous learning. Nice to have Experience in e-commerce, or online search systems. Knowledge of modern NLP techniques (transformers, embeddings, semantic search). Experience applying Generative AI / LLMs (e.g., GPT, LLaMA) to real-world problems such as search, personalization, or content generation. Experience with deep learning frameworks like PyTorch. Familiarity with vector databases, information retrieval frameworks (e.g., Elasticsearch, Vespa) Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow) Experience with Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML). About Wayfair Inc. Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, were reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. Were a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair and world for all. Every voice, every perspective matters. Thats why were proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice ( https://www.wayfair.com/careers/privacy ). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at [HIDDEN TEXT] . Show more Show less

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. In this role as a Senior Machine Learning Engineer in the Digital Technology team, you will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions. Responsibilities may include the following and other duties may be assigned: Design, develop, and implement machine learning models and algorithms to solve complex business problems. Use software design principles to develop production ready code. Collect, preprocess, and analyze large datasets to train and evaluate machine learning models. Optimize and fine-tune machine learning models for performance and accuracy. Deploy machine learning models into production environments and monitor their performance. Develop processes and tools to monitor and analyze model performance and data accuracy. Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows. Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders. Mentor and provide guidance to junior Machine Learning Engineers. Required Knowledge and Experience: Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics 5+ years of industry experience in writing production level, scalable code (e.g. in Python) 4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning 4+ years of industry experience with distributed computing frameworks such as PySpark 4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.). 4+ years of industry experience with major cloud computing services like AWS or Azure or GCP 1+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock. Experience in building Agentic AI applications. 2+ years of technical leadership leading junior engineers in a product development setting Preferred Qualifications: MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields. Proficient in containerization services Proficient in Sagemaker to deploy the models Experience with working in CICD framework Experience in deploying and scaling Open source LLM Models.

We are seeking a skilled Data Scientist with 2 to 5 years of experience, specializing in Machine Learning, PySpark, and Databricks, with a proven track record in long-range demand and sales forecasting. This role is crucial for the development and implementation of an automotive OEM’s next-generation Intelligent Forecast Application. The position will involve building, optimising, and deploying large-scale machine learning models for complex, long-term forecasting challenges using distributed computing frameworks, specifically PySpark on the Databricks platform. The work will directly support strategic decision-making across the automotive value chain, including areas like long-term demand planning, production scheduling, and inventory optimization. The ideal candidate will have hands-on experience developing and deploying ML models for forecasting, particularly long-range predictions, in a production environment using PySpark and Databricks. This role requires strong technical skills in machine learning, big data processing, and time series forecasting, combined with the ability to work effectively within a technical team to deliver robust and scalable long-range forecasting solutions. Roles & Responsibilities: Machine Learning Model Development & Implementation for Long-Range Forecasting: Design, develop, and implement scalable and accurate machine learning models specifically for long-range demand and sales forecasting challenges. Apply advanced time series analysis techniques and integrate them with machine learning models leveraging PySpark for data processing and model training on large datasets within the Databricks environment. Implement probabilistic forecasting methods using PySpark to capture uncertainty in long-range predictions. Develop robust solutions for hierarchical and grouped long-range forecasting on distributed data. Data Processing and Feature Engineering with PySpark: Build and optimize large-scale data pipelines for ingesting, cleaning, transforming, and engineering features relevant to long-range forecasting from diverse, complex automotive datasets using PySpark on Databricks. Deployment and MLOps on Databricks: Develop and implement robust code for model training, inference, and deployment of long-range forecasting models directly within the Databricks platform. Apply MLOps principles compatible with Databricks workflows for model versioning, monitoring, retraining, and managing the lifecycle of long-range ML forecasting models in production. Collaborate with Data Engineering and IT Operations to ensure seamless deployment and operational efficiency of the forecasting application on Databricks. Performance Evaluation & Optimization: Evaluate long-range forecasting model performance using relevant metrics (e.g., MAE, RMSE, MAPE, considering metrics suitable for longer horizons) and optimize models and data processing pipelines for improved accuracy and efficiency within the PySpark/Databricks ecosystem. Technical Collaboration: Work effectively as part of a technical team, collaborating with other data scientists, data engineers, and software developers to integrate ML long-range forecasting solutions into the broader forecasting application built on Databricks. Communicate technical details and forecasting results effectively within the technical team. Requirements Qualifications : Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a closely related quantitative field. Experience: 2 to 5 years of hands-on experience in a Data Scientist or Machine Learning Engineer role. Proven experience developing and deploying machine learning models in a production environment. Demonstrated experience in long-range demand and sales forecasting. Significant hands-on experience with PySpark for large-scale data processing and machine learning. Extensive practical experience working with the Databricks platform, including notebooks, jobs, and ML capabilities. Technical Skills: Optimization (Must): Strong understanding of nonlinear optimization, constrained minimization, and time-series simulation Machine Learning & Forecasting: Strong expertise in building and deploying ML models, especially for long-range demand and sales forecasting. Time Series Analysis: Proficiency in advanced time series techniques, including probabilistic and hierarchical forecasting. Databricks Platform: Skilled in using Databricks for model development, training, and deployment in a production environment. MLOps: Familiarity with model deployment, monitoring, and automation workflows using AWS SageMaker. Domain Knowledge: Experience working with complex datasets, preferably in the automotive or manufacturing sector. Expert proficiency in PySpark. Strong proficiency in Python and SQL. Experience with machine learning libraries compatible with PySpark (e.g., MLlib, or integrating other libraries). Experience with advanced time series forecasting techniques and their implementation. Experience with distributed computing concepts and optimization techniques relevant to PySpark. Hands-on experience with a major cloud provider (Azure, AWS, or GCP) in the context of using Databricks. Familiarity with MLOps concepts and tools used in a Databricks environment. Experience with data visualization tools. Analytical skills with a deep understanding of machine learning algorithms and their application to forecasting. Ability to troubleshoot and solve complex technical problems related to big data and machine learning workflows Preferred Qualifications: Experience with specific long-range forecasting methodologies and libraries used in a distributed environment Experience with real-time or streaming data processing using PySpark for near-term forecasting components that might complement long-range models. Familiarity with automotive data types relevant to long-range forecasting (e.g., economic indicators affecting car sales, long-term market trends). Experience with distributed version control systems (e.g., Git). Knowledge of agile development methodologies Soft Skills : Collaboration: Ability to work effectively as part of a technical team. Communication: Clear and concise communication of technical details and forecasting results. Problem-Solving: Ability to tackle complex technical challenges and find efficient solutions. Learning Agility: Eagerness to learn and adapt to new technologies and methodologies within the PySpark/Databricks ecosystem and advancements in long-range forecasting. Ability to understand business needs related to long-term planning. Signs You May Be a Great Fit Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. Growth: Access professional development opportunities, and mentorship from experienced peers. Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.

Machine Learning Scientist I, Predictive Search & Guidance Location: Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Who we are Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this Wayfair builds and leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. Wayfair’s Search, Marketing, and Recommendations ML teams build algorithmic systems that drive our business, enhance customer experience, and improve customer loyalty powering what our customers see on and off our site at web scale. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact. What you’ll do Design, build, deploy and refine large-scale machine learning/AI models and algorithmic decision-making systems that solve real-world problems for customers Work cross-functionally with commercial stakeholders, engineers, analysts, and product managers to understand business problems or opportunities and develop appropriately scoped ML solutions Collaborate closely with various infrastructure, and ML platform teams to develop production grade services that follow best-practices in how we build and deploy scalable ML services Build cutting edge robust ML models and systems that directly impact our customers every day Identify new opportunities and insights from the data (where can the models be improved? what is the projected ROI of a proposed modification?) Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on What you’ll need 1+ years of industry experience with a Master's or a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field. Proficiency in Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) A strong theoretical understanding and solid hands-on experience working with machine learning algorithms. Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity and efficiency Intellectual curiosity and enthusiasm about continuous learning Nice to have Some prior experience or a high-level understanding of search, recommendations and ranking in an e-commerce setting would be a strong plus. Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) experience or Java experience Familiarity with cloud based compute approaches GCP (or AWS, Azure), ML model development frameworks, and ML orchestration tools (Airflow, Kubeflow, VertexAI, etc) Experience with Kubernetes and Docker Clear track record of publishing or work related projects showing ability to develop cutting edge AI systems. About Wayfair Inc. Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice ( https://www.wayfair.com/careers/privacy ). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com .

We are seeking an experienced and driven Senior AI/ML Engineer with 5-8 years of experience in AI/ML – Predictive ML, GenAI and Agentic AI. The ideal candidate should have a strong background in developing and deploying machine learning models, as well as a passion for innovation and problem-solving. As an AI/ML Solution Engineer, build AI/ML, Gen AI, Agentic AI empowered practical in-depth solutions for solving customer’s business problems. As an AI/ML Solution Engineer, design, develop, and deploy machine learning models and algorithms. Conduct research and stay up-to-date with the latest advancements in AI/ML, GenAI, and Agentic AI. Lead a team of junior AI engineers, providing direction and support. Requirements Bachelor’s or Master’s degree in computer science / AIML / Data Science. 5 to 8 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and LLM models for solving business problems. Proven experience working with Generative AI technologies, including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems. Expertise in Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, transformers (e.g., Hugging Face), or MLlib. Experience in working on Agentic AI frameworks like Autogen, Langgraph, CrewAI, Agentforce etc Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure, including the use of their Gen AI services. Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments. Experience with scripting in SQL, extracting large datasets, and designing ETL flows. Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions. Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

DESCRIPTION Are you passionate about solving complex logistics challenges? Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Research Scientist, you will join a team dedicated to optimizing our delivery network, ensuring reliable and efficient service to our customers. We are seeking an enthusiastic, customer-centric professional with strong analytical capabilities to drive impactful projects, implement advanced solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of our delivery operations. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications. Basic qualifications 3+ years of building machine learning models for business application experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred qualifications: PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 3+ years of extensive relevant research experience Deep expertise in Machine Learning Proficiency in programming Core competency in mathematics and statistics Track record of successful projects in algorithm design and product development Publications at peer-reviewed conferences or journals Strategic thinker with good execution skills Exhibits excellent business judgment Effective verbal and written communication skills Experience working with real-world data sets and building scalable models from big data Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow Experience with large scale distributed systems BASIC QUALIFICATIONS 3+ years of building machine learning models for business application experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 3+ years of relevant, broad research experience Deep expertise in Machine Learning Proficiency in programming core competency in mathematics and statistics. Track record of successful projects in algorithm design and product development. Publications at top-tier peer-reviewed conferences or journals. prior experience with mentorship and/or management of scientists Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business Effective verbal and written communication skills Experience working with real-world data sets and building scalable models from big data. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Data Engineer Job Description: As a Senior Data Engineer, you will leverage advanced data engineering techniques and analytics to support business decisions for the client. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders. The impact you will have: Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications. Ensure Best Practices: Guarantee that Databricks' best practices are applied throughout all projects to maintain high-quality service and successful implementation. Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work. Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority. Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation. Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams. 6+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP). Educational Background: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience). Experience: Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects Develop scalable streaming and batch solutions using cloud-native components. Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalization, utilizing Databricks and related technologies. Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows. Technical Skills: Expert-level proficiency in Spark Scala, Python, and PySpark. In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling. Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce. Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions. Databricks Specific Skills: Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP). Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration. Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines. Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities. Certifications: Certification in Databricks Engineering (Professional) Microsoft Certified: Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified Solutions Architect Professional

Location: Remote Filling the google form mentioned below is mandatory. Please go to how to apply section and fill up the form. About Purple Merit At Purple Merit, we are pioneering the future of autonomous multi-agent AI systems . Our mission is to empower enterprises with intelligent, self-directed, and context-driven AI agents that can reason, plan, and execute complex tasks with precision and reliability. We foster a culture of innovation, continuous learning, and ownership —giving you the freedom and support to push boundaries and build transformative AI technologies. Here, your work powers real change fueling business process transformation on a global scale—and you’ll have unmatched freedom to innovate, propose research, and see your ideas come to life in production environments. We’re passionate about nurturing AI leaders who thrive on solving real-world enterprise challenges using generative AI and multi-agent frameworks . Role Overview As an AI/ML Engineer intern at Purple Merit, you will: You’ll architect intelligent agents with reasoning capabilities, develop RAG pipelines and context engineering solutions, and implement Model Context Protocol (MCP) servers for enterprise data connectivity. Work with production-grade technologies including agent-to-agent communication protocols (A2A, JSON-RPC), deploy scalable AI applications on AWS/Kubernetes, and collaborate cross-functionally on real-world agentic AI projects that shape the future of autonomous intelligence Work closely with cross-functional teams to drive integration, automation, and innovation. Key Responsibilities Design and implement intelligent, autonomous agents with goal-driven action and dynamic task assignment . Build multi-agent workflows integrating perception, reasoning, and action across AI tools, APIs, and knowledge bases. Implement RAG pipelines and agent memory systems grounding agents in domain-specific knowledge. Develop workflows with LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel , and orchestration tools like n8n . Build, deploy, and manage MCP servers/clients with JSON-RPC 2.0 , transport layers ( stdio, HTTP, WebSocket ), and custom extensions. Implement real-time agent communication via SSE , WebSockets , and structured A2A protocols . Fine-tune large and small language models ( LLMs, SLMs ) with LoRA, custom tokenizers, quantization techniques. Integrate generative AI frameworks such as Google ADK, LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, DSPy, LiteLLM, Langfuse, MemGPT, mem0 . Build scalable AI pipelines using AWS Lambda, IAM, CloudFormation, and Infrastructure as Code (CDK) . Write clean, testable, and scalable Python code following best practices. Use MLflow and Weights & Biases for experiment tracking, versioning, and deployment. Work in security-compliant, large-scale enterprise environments ensuring reliability . Design intuitive UIs and robust APIs enabling human-in-the-loop feedback and collaborative workflows. Integrate external data sources, APIs, and databases into AI agent workflows for dynamic decision-making. Participate in AI safety, alignment , adversarial testing, and implement guardrails to ensure secure, ethical agent behavior . Implement scalable distributed agent orchestration, fault tolerance, load balancing , and self-healing workflows . Develop explainable AI pipelines and advanced monitoring for observability and auditing. Work with SQL/NoSQL ( PostgreSQL, MongoDB ), vector DBs ( FAISS, Pinecone ), and data analysis libraries ( NumPy, Pandas, SciPy, Seaborn, Plotly ). Required Skills & Qualifications Strong Python programming skills with debugging, testing, and scalable code development. Foundational knowledge of designing and building MCP servers, clients , and transport layers ( stdio, HTTP, WebSocket ) with JSON-RPC 2.0 protocol . Familiarity with agent communication protocols ( A2A, JSON-RPC 2.0, WebSockets ). Experience or strong interest in building multi-agent AI systems and generative AI . Ability to write clean, maintainable code and collaborate effectively in remote teams . Passion for learning and eagerness to contribute to designing secure MCP endpoints and extending protocol specifications. Implement and maintain robust Continuous Integration and Continuous Deployment (CI/CD) pipelines to ensure seamless automated testing, deployment, and monitoring of AI/ML models and autonomous agent systems. Good remote communication skills and discipline to work in a fixed schedule environment. Mandatory Experience with generative AI frameworks and libraries such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, DSPy, MemGPT, LiteLLM, Langfuse, Mem0 . Knowledge of reinforcement, supervised, and unsupervised learning to enhance agent capabilities. Familiarity with cloud platforms ( AWS/GCP/Azure ) and MLOps tools like MLflow, Weights & Biases . Experience with containerization ( Docker ), orchestration ( Kubernetes ), and distributed ML ( Spark MLlib, Dask-ML, Ray, Horovod ). Exposure to AI safety, ethics , and adversarial testing methodologies. Internship & Salary Structure Duration: 5 months internship (remote) Stipend: ₹12,000 per month during internship Conversion: Upon successful internship completion, full-time salary range of ₹3 LPA to ₹9 LPA will be offered based on performance, leadership, and technical skills demonstrated. Note: There is no direct full-time hiring ; only internship-to-full-time conversion is available. Things to Keep in Mind No laptop or physical assets will be provided by PurpleMerit; candidates must use their own systems. Fully remote role requiring your own laptop/PC ( preferably 16GB or 32GB RAM ) to handle development tasks efficiently. Fixed work hours: Monday to Saturday, 9:30 AM – 6:30 PM IST . Freelancing or other external paid work during the internship is prohibited and may lead to termination. Strong remote communication skills and experience working in distributed teams are essential. Completion of the full 5-month internship is mandatory for consideration for full-time roles. Why Join Purple Merit? At Purple Merit, you’re not just joining a company you’re joining a movement pioneering agentic AI that transforms industries. We offer: The freedom to innovate and lead real-world projects that challenge the status quo. A culture rooted in continuous learning, experimentation, and collaboration . A chance to work with cutting-edge AI technologies shaping the future of autonomous systems. Opportunities to grow into leadership roles and publish research. Remote flexibility allowing you to work from anywhere in India while being part of a dynamic, dedicated team. How to Apply Only candidates willing to commit fully to the internship duration and motivated by the role should apply. To be considered, please: Fill out the application form  https://forms.gle/muWe2gvUF1UFiSmi7 The link is cannot be accessed from here. Please copy and paste the link in your browser and fill the form. Filling the google form is mandatory. Only those applications will be considered. Submit your updated resume and any relevant portfolio or GitHub links on the application form only. If any technical issues persist, write to the email ID mentioned in Form description. Incomplete applications or direct contacts without form submission will not be considered. Final Note We’re seeking a true architect of agentic AI not generalists or casual learners, but passionate builders who have hands-on experience or a strong desire to build systems like AutoGPT, LangGraph, or ReAct-based agents . If you want to lead and innovate in autonomous AI at scale, Purple Merit is the next frontier for you.

Experience: 5-8 Years Work Mode: Pune & Hyderabad Job Type: Fulltime Mandatory Skills: Python, SQL, ETL, Numpy / Scikit-learn / Pandas, AI/ML, Gen AI, TensorFlow, PyTorch, AI frameworks like Autogen, Langgraph, CrewAI, Agentforce, Machine Learning, Predictive Machine Learning and LLM. Job Description We are seeking an experienced and driven Senior AI/ML Engineer with 5-8 years of experience in AI/ML Predictive ML, GenAI and Agentic AI. The ideal candidate should have a strong background in developing and deploying machine learning models, as well as a passion for innovation and problem-solving. Required Qualifications & Skills Bachelors or Masters degree in computer science / AIML / Data Science. 5 to 8 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and?LLM models for solving business problems. Proven experience working with?Generative AI technologies, including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems. Expertise in Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch,?transformers (e.g., Hugging Face), or MLlib. Experience in working on Agentic AI frameworks like Autogen, Langgraph, CrewAI, Agentforce etc Expertise in cloud-based data and AI solution design and implementation using?GCP / AWS / Azure, including the use of their Gen AI services. Good experience in building complex and scalable ML and?Gen AI?solutions and deploying them into production environments. Experience with scripting in SQL, extracting large datasets, and designing ETL flows. Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and?Gen AI?solutions. Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Key Responsibilities As an?AI/ML Solution Engineer, build AI/ML, Gen AI, Agentic AI empowered?practical in-depth solutions for solving customers business problems. As an?AI/ML Solution Engineer, design, develop, and deploy machine learning models and algorithms. Conduct research and stay up-to-date with the latest advancements in AI/ML, GenAI, and Agentic AI. Lead a team of junior AI engineers, providing direction and support. Skills: ml,learning,models,machine learning,skills,data,design,machine learning models,data science,etl,ai,sql,python,numpy,scikit-learn,pandas,gen ai,tensorflow,pytorch,ai framework,autogen,langgraph,crewai,agent force,llm Show more Show less

Experience: 5-8 Years Work Mode: Pune & Hyderabad Job Type: Fulltime Mandatory Skills: Python, SQL, ETL, Numpy / Scikit-learn / Pandas, AI/ML, Gen AI, TensorFlow, PyTorch, AI frameworks like Autogen, Langgraph, CrewAI, Agentforce, Machine Learning, Predictive Machine Learning and LLM. Job Description We are seeking an experienced and driven Senior AI/ML Engineer with 5-8 years of experience in AI/ML – Predictive ML, GenAI and Agentic AI. The ideal candidate should have a strong background in developing and deploying machine learning models, as well as a passion for innovation and problem-solving. Required Qualifications & Skills Bachelor’s or Master’s degree in computer science / AIML / Data Science. 5 to 8 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and LLM models for solving business problems. Proven experience working with Generative AI technologies, including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems. Expertise in Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, transformers (e.g., Hugging Face), or MLlib. Experience in working on Agentic AI frameworks like Autogen, Langgraph, CrewAI, Agentforce etc Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure, including the use of their Gen AI services. Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments. Experience with scripting in SQL, extracting large datasets, and designing ETL flows. Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions. Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Key Responsibilities As an AI/ML Solution Engineer, build AI/ML, Gen AI, Agentic AI empowered practical in-depth solutions for solving customer’s business problems. As an AI/ML Solution Engineer, design, develop, and deploy machine learning models and algorithms. Conduct research and stay up-to-date with the latest advancements in AI/ML, GenAI, and Agentic AI. Lead a team of junior AI engineers, providing direction and support. Skills: ml,learning,models,machine learning,skills,data,design,machine learning models,data science,etl,ai,sql,python,numpy,scikit-learn,pandas,gen ai,tensorflow,pytorch,ai framework,autogen,langgraph,crewai,agent force,llm