65 Ml Models Jobs

As a Privacy Governance Specialist at Google, your role is crucial in managing risk postures and compliance objectives related to data, products, and software systems. Your primary responsibility is to ensure that systems, products, and data are handled in a manner that upholds the trust and safety of users, third parties, and employees. You will be required to have a Bachelor's degree or equivalent practical experience, along with at least 2 years of experience in designing solutions that enhance the privacy posture of the organization. This includes analyzing proposed engineering designs and influencing stakeholders to ensure privacy compliance. Additionally, you should have experience in applying privacy technologies such as differential privacy and automated access management solutions, while customizing existing frameworks to meet organizational needs. Your expertise should also cover areas like privacy data handling, information privacy, and privacy design documentation. Preferred qualifications for this role include the ability to manage multiple high-priority requests effectively, while determining resource allocation to solve problems in a fast-paced environment. Experience in developing ML models and applications end-to-end is also desired, along with a strong understanding of privacy principles and a commitment to safeguarding individuals" data. In your day-to-day responsibilities, you will need to escalate critical and novel AI risks to central and product leadership forums as necessary. Collaborating with Privacy Engineers, you will design technical documentation to ensure consistent privacy decisions within the AI domain. Your role will involve navigating various work-streams, functional concepts, and stakeholders to meet privacy requirements specific to AI and generative AI. You will be expected to connect the dots across systems, products, and teams to implement and scale AI privacy governance solutions throughout Google. Additionally, conducting privacy impact assessments and driving privacy outcomes for AI datasets, models, products, and features will be part of your core duties.,

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the corporate technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will build pipelines in Spark and tune Spark queries, possess advanced knowledge of application, data, and infrastructure disciplines, design, build, and maintain ML models in production, working closely with modelers and business stakeholders. You will apply knowledge of machine learning model frameworks, algorithms, and tools for building ML solutions. The role also involves creating and maintaining technical documentation, contributing to the group's knowledge base by finding new and valuable ways to approach problems and projects, and staying up-to-date with the latest advancements in GenAI and LLM technologies and incorporating them into our data engineering practices. **Required Qualifications, Capabilities, And Skills:** - Formal training or certification on software engineering concepts and 3+ years of applied experience. - Background with Machine Learning Frameworks and Big Data technologies such as Hadoop. - Strong experience in programming languages such as Java or Python. - Experience with Python Machine Learning libraries and ecosystems (e.g., Pandas and Numpy). - Experience with Cloud technologies such as AWS or Azure. - Experience working with databases such as Cassandra, MongoDB, or Teradata. - Knowledge of build tools like Maven and source control like Git/SVN. **Preferred Qualifications, Capabilities, And Skills:** - Familiarity with modern front-end technologies. - Exposure to cloud technologies. ABOUT US,

We are searching for a Senior Software Engineer in AI who possesses more than 3 years of practical experience in Artificial Intelligence and Machine Learning and has a strong enthusiasm for innovation. This position is perfect for an individual who excels in a startup setting that is fast-paced, product-oriented, and filled with opportunities to create a meaningful difference. Your main responsibility will be to contribute to the development of intelligent, scalable, and production-ready AI systems, with a particular emphasis on Generative AI and Agentic AI technologies. Key Responsibilities: - Developing and implementing AI-powered applications and services, with a focus on Generative AI and Large Language Models (LLMs). - Designing and executing Agentic AI systems that consist of autonomous agents capable of planning and executing multi-step tasks. - Collaborating with various teams such as product, design, and engineering to seamlessly integrate AI capabilities into products. - Crafting clean, scalable code and establishing robust APIs and services to facilitate the deployment of AI models. - Taking charge of feature delivery from start to finish, including research, experimentation, deployment, and monitoring. - Keeping abreast of the latest AI frameworks, tools, and best practices and leveraging them in product development. - Contributing to a culture of high performance within the team and providing mentorship to junior team members when necessary. Required Skills: - A total of 6 years of software development experience, with at least 3 years dedicated to AI/ML engineering. - Proficiency in Python, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). - Demonstrated expertise in working with LLMs (e.g., GPT, Claude, Mistral) and various Generative AI models (text, image, or audio). - Practical knowledge of Agentic AI frameworks such as LangChain, AutoGPT, and Semantic Kernel. - Experience in constructing and deploying ML models in production environments. - Familiarity with vector databases like Pinecone, Weaviate, FAISS, and prompt engineering concepts. - Comfortable operating in a startup-like atmosphere - self-driven, adaptable, and eager to take on responsibilities. - Sound understanding of API development, version control, and contemporary DevOps/MLOps procedures. This is a permanent position that requires in-person work.,

Encora is looking for Machine Learning Engineer to join our dynamic team and embark on a rewarding career journey. A Machine Learning Engineer is responsible for designing, building, and maintaining systems that use artificial intelligence (AI) and machine learning (ML) algorithms to solve complex problems. 1 .Developing and implementing ML algorithms : The Machine Learning Engineer develops and implements machine learning algorithms to solve specific problems, such as natural language processing, computer vision, or predictive modeling .2. Building data pipelines : The Machine Learning Engineer is responsible for building data pipelines that collect, store, and preprocess data used in machine learning algorithms. 3. Creating and maintaining ML infrastructure : The Machine Learning Engineer is responsible for creating and maintaining ML infrastructure, including hardware, software, and cloud platforms, that support the development and deployment of ML models. 4. Testing and validating ML models: The Machine Learning Engineer tests and validates ML models, ensuring that they are accurate, robust, and scalable 5. Troubleshooting ML systems: The Machine Learning Engineer troubleshoots ML systems, identifying and resolving issues related to performance, accuracy, and scalability 6 .Deploying ML models : The Machine Learning Engineer deploys ML models in production environments, integrating them with other software systems and ensuring that they are reliable and scalable.

The Credit Strategy team at Navi is responsible for developing and optimizing underwriting strategies across key lending products. The team focuses on key underwriting metrics, asset quality indicators, and portfolio monitoring to ensure that credit decisions align with business objectives and risk tolerance. Continually enhancing underwriting quality and portfolio health is a priority to support sustainable growth. As a Model Strategist on the Credit Strategy team at Navi, we are seeking a highly curious and structured thinker. This role is designed for individuals who deeply understand models and aim to influence their usage and purpose rather than solely focusing on building them. In this position, you will be at the intersection of product, data science, and business, guiding model selection, challenging performance, and shaping solver logic to maximize disbursal while maintaining control over credit costs. This unique role combines system-level thinking with significant business impact, making it ideal for data scientists or quantitative analysts looking to contribute to high-stakes decision-making. Key Responsibilities: - Evaluate and challenge model performance across risk segments, funnel stages, and product variants - Drive model selection logic, deciding when and how to use specific models and blending multiple signals - Brainstorm on modeling techniques, data handling, and exclusions to enhance model performance - Collaborate with Data Science to recommend improved feature sets, inputs, and architecture hypotheses - Own solver logic and trade-off frameworks, such as approval rate versus ACL - Lead test-and-learn initiatives in underwriting experiments - Influence end-to-end underwriting strategy with a precision-first approach Qualifications: - Strong background in data science, credit analytics, or risk modeling (3+ years) - Hands-on experience with building and evaluating ML models, especially in lending or financial domains - Deep understanding and practical experience with modern ML and deep learning techniques - Ability to command respect from data science teams through technical credibility and insight - Curiosity about how models drive business outcomes, emphasizing precision over accuracy - Strong problem-solving skills and structured thinking - Masters or Bachelors degree in Computer Science, Electrical Engineering, Mathematics, Economics, or a related quantitative discipline - PhD in Data Science, ML, or Statistics from a reputable institution is a strong plus - Bonus: Exposure to lending, fintech, credit cards, BNPL, startups, or consulting Join Navi and be part of shaping the future of financial services for a billion Indians. Our tech-first solutions prioritize simplicity, accessibility, and affordability, covering a range of products such as Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. Founded by Sachin Bansal & Ankit Agarwal in 2018, Navi is a rapidly growing financial services organization with a strong customer-first approach. Our Culture: At Navi, we value ambition, perseverance, self-awareness, ownership, and integrity. We seek individuals who dream big, innovate, and deliver real value to customers. If you are driven by challenges and aspire to make a difference, join us in a dynamic team that builds innovative solutions and uplifts each other to achieve excellence. Why You'll Thrive at Navi: - You're impact-driven: Take ownership, build boldly, and strive to make a real difference - You strive for excellence: Maintain focus, precision, and a passion for quality - You embrace change: Adapt quickly, prioritize the customer, and move fast to meet evolving needs,

Description We are seeking a talented Lead Big Data Engineer to deliver roadmap features of Enterprise TruRisk Platform which would help customers to Measure, Communicate and Eliminate Cyber Risks. Working with a team of engineers and architects, you will be responsible for prototyping, designing, developing and supporting a highly scalable, distributed SaaS based Security Risk Prioritization product. This is a fantastic opportunity to be an integral part of a team building Qualys next generation platform using Big Data & Micro-Services based technology to process over billions of transactions data per day, leverage open-source technologies, and work on challenging and business-impacting initiatives. Responsibilities Be the thought leader in data platform and pipeline along with Risk Evaluation . Provide technical leadership to the engineering organization on data platform design, roll out and evolution. Liason to product teams, professional services and sales engineers on solution and trade-off reviews and represent engineering in such conversations. Drive technology explorations and roadmaps. Serve as a technical lead on our most demanding, cross-functional departments . Ensure the quality of architecture and design of systems. Functionally decompose complex problems into simple, straight-forward solutions. Fully and completely understand system interdependencies and limitations. Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Leverage knowledge of internal and industry prior art in design decisions. Effectively research and benchmark cloud technology against other competing systems in the industry. Able to document the details so it will be easy for developers to understand the requirements. Assisting developers with proper requirements and directions. Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience. Able to share knowledge and train others. Qualifications Bachelors degree in computer science or equivalent 8 + years of total experience. 4 + years of relevant experience in design and architecture Big Data solutions using Spark 3+ years experience in working with engineering resources for innovation. 4 + years experience in understanding Big Data events flow pipeline. 3+ years experience in performance testing for large infrastructure. 3+ In depth experience in understanding various search solutions solr /elastic. 3+ years experience in Kafka In depth experience in Data lakes and related ecosystems. In depth experience of messing queue In depth experience in giving requirements to build a scalable architecture for Big data and Micro-services environments. In depth experience in understanding caching components or services Knowledge in Presto technology. Knowledge in Airflow. Hands-on experience in scripting and automation In depth understanding of RDBMS/NoSQL , Oracle , Cassandra , Kafka , Redis , Hadoop, lambda architecture, kappa , kappa ++ architectures with flink data streaming and rule engines Experience in working with ML models engineering and related deployment . Design and implement secure big data clusters to meet many compliances and regulatory requirements. Experience in leading the delivery of large-scale systems focused on managing the infrastructure layer of the technology stack . Strong experience in doing performance benchmarking testing for Big data technologies. Strong troubleshooting skills. Experience leading development life cycle process and best practices Experience in Big Data services administration would be added value. Experience with Agile Management (SCRUM, RUP, XP), OO Modeling, working on internet, UNIX, Mid Show more Show less

As a Senior Manager of Technical Program Management at Capital One India, you will be part of the Machine Learning Experience (MLX) team, a group dedicated to implementing responsible ML models and features across the company. Your role will involve collaborating with various teams including product, engineering, and data scientists to create roadmaps, define milestones, and build scalable ML products and platforms. You will be responsible for driving innovation, presenting to executive stakeholders, and ensuring the successful delivery of enterprise-level initiatives. The ideal candidate for this role will possess a strong technical background in building scalable platforms and products, along with exceptional communication and collaboration skills. You should have a quantitative approach to problem-solving, the ability to simplify complex technical concepts, and a focus on execution and results. Emotional intelligence, empathy, and the ability to lead a program team are also key attributes for success in this role. In terms of qualifications, a Bachelor's degree is required, along with at least 5 years of experience managing technical programs and designing data-intensive solutions. Experience with machine learning, cloud infrastructure, and major ML frameworks such as XGBoost and PyTorch is highly desirable. Additionally, familiarity with Agile delivery, building distributed systems, and working within a highly regulated environment are preferred qualifications. If you meet these qualifications and are looking to join a dynamic team at Capital One India, we encourage you to apply for the Senior Manager - Technical Program Management position. Please note that Capital One is an equal opportunity employer committed to non-discrimination and promotes a drug-free workplace. If you require any accommodations during the application process, please contact Capital One Recruiting for assistance.,

As a Senior Software Engineer AI at Techvantage.ai, a pioneering technology and product engineering company specializing in Generative AI, Agentic AI, and autonomous intelligent systems, you will be an integral part of our innovative team. With a minimum of 3 years of hands-on experience in Artificial Intelligence/Machine Learning, you will contribute to the development of cutting-edge solutions that are designed to adapt and scale alongside the advancements in artificial intelligence. In this role, you will be immersed in a fast-paced startup environment that is product-driven and offers ample opportunities to drive real impact. Your primary focus will be on building sophisticated AI systems that are intelligent, scalable, and production-ready, with a particular emphasis on Generative AI and Agentic AI technologies. Your responsibilities will include building and deploying AI-driven applications and services, with a specific focus on Generative AI and Large Language Models (LLMs). You will design and implement Agentic AI systems, autonomous agents capable of planning and executing multi-step tasks. Collaboration with cross-functional teams, including product, design, and engineering, will be crucial as you integrate AI capabilities into various products. Additionally, you will be expected to write clean and scalable code, develop robust APIs and services to support AI model deployment, and take ownership of feature delivery from research and experimentation to deployment and monitoring. Keeping abreast of emerging AI frameworks, tools, and best practices will be essential for your role, as you apply them in product development. Moreover, contributing to a high-performing team culture and mentoring junior team members when necessary will be part of your responsibilities. To excel in this role, you should possess at least 3 years of overall software development experience, with a specific focus on AI/ML engineering. Proficiency in Python is a must, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Your experience with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio) will be highly valued. Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel), as well as experience in building and deploying ML models to production environments, will be beneficial. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts, coupled with the ability to thrive in a startup-like environment, will set you up for success in this role. A solid understanding of API development, version control, and modern DevOps/MLOps practices is also essential. If you are a motivated individual who is passionate about innovation and eager to contribute to cutting-edge AI solutions, we encourage you to share your updated CV with us at amarragi@affable.in or contact us at 9048151003. This is a full-time position that offers a unique opportunity to be at the forefront of AI innovation and product development.,

As a valuable member of our team, you will collaborate with cross-functional teams to effectively translate business requirements into technical specifications for various data exploration, analysis, and modeling use cases. You will play a crucial role in gaining a comprehensive understanding of the data flow process, from applications to databases and reports. Additionally, you will be responsible for designing and implementing robust machine learning models, ensuring their successful deployment to production environments. Ideally, you should possess a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. This educational background will provide you with the necessary foundation to excel in this role and contribute significantly to our data-driven initiatives.,

Role: Product Manager - Post Order CX and Last Mile Logistics Location: Bangalore About STYLI STYLI is an e-commerce brand founded in 2019 by Landmark Group, emerging as one of the largest fashion and beauty platforms in the GCC and India. With a strong focus on trendy, affordable fashion and beauty products, STYLI brings over 40,000 styles to men, women, kids, and beauty enthusiasts, offering them the latest global trends delivered directly to their doorsteps. Our vision is to be the most aspirational value fast fashion and lifestyle destination, delivering seamless service excellence. We aim to create personalized experiences, engaging customers across all touchpoints, and continually expanding our curated selection to meet their evolving need states. STYLI has quickly become a leading player in the e-commerce fashion space across the GCC - Saudi Arabia, UAE, Bahrain, and Kuwait and in India. Role Purpose & Impact Deliver a world-class post-purchase journeyorder tracking, delivery notifications, returns, refunds, CXthat reduces anxiety, drives loyalty, and lowers operational costs. Key Responsibilities Integrate carrier APIs to surface real-time shipment statuses and predictive ETAs; continuously improve on-time promise accuracy with ML models. Design self-serve return & refund flows that capture structured return reasons; feed insights back to Merchandising to cut return rates. Automate refund triggers (instant for prepaid, COD post-pickup) and track average refund time as a north-star. Deploy multi-channel support tools (in-app chat, IVR, WhatsApp bots) to resolve >40 % queries without agent hand-off and lower contact rate. Identify & mitigate RTO patterns using data (zip codes, payment types, SKUs); pilot address verification, locker drop-offs, open-box delivery. Build and own dashboards for Delivery SLA, Contact Rate, Return-to-Origin losses; conduct weekly root-cause reviews with Ops & CX leadership. Drive continuous improvement culture (Lean/DMAIC) within the squadexperiment, learn, iterate rapidly. Align cross-functional teams Logistics, Warehouse, Finance, CX, Data Sciencearound shared OKRs and transparent reporting. Act as the post-order customer champion , grounding every decision in NPS, CSAT, and verbatim feedback loops. Balance marketplace economics by reducing costly cancellations and returns while preserving an exceptional buyer experience. Ideal Profile 4-8 years in post-order, logistics tech, or ops-heavy product roles in e-commerce or food/grocery delivery. Hands-on with carrier integrations, OMS/WMS, and communication stacks (Twilio, MoEngage). Strong continuous-improvement mindset. Track record aligning Ops, CX, and Tech on a single set of OKRs. Storytelling chopsyou turn complex supply-chain jargon into insights the C-suite acts on Show more Show less

As a Lead Machine Learning Data Engineer with 10-15 years of experience, you will be responsible for designing, developing, and optimizing ML models for NLP, CV, and data-driven applications. You will work with transformer architectures, multimodal AI models, and generative AI techniques to implement ML pipelines, including data preprocessing, feature engineering, training, evaluation, and deployment. Your role will involve designing and implementing a Speech LLM-based virtual assistant, along with developing and maintaining Python code for audio capture, encoding, modality fusion, LLM interaction, and text output. Additionally, you will integrate and configure pre-trained models for audio encoding, LLM, and audio decoding, while staying up-to-date with the latest research and advancements in Speech LLMs, audio processing, and related fields. It will be your responsibility to document the system design, code, and experimental results, as well as architect scalable, production-ready ML systems integrating MLOps best practices. You will also set the technical direction, ensuring best practices in AI research, model deployment, and system scalability. This role will require you to work 5 days a week in a hybrid mode, with one week working from the office in a month, in either Bangalore or Chennai. The ideal candidate should be able to join immediately or with a notice period of a maximum of 15 days.,

Job Title: Senior Data Scientist Intelligent Offer Management Location: Bangalore (3 days work from office) Type: Hybrid Full-time (On-Site) Experience Level: 36 years About the Role: We are hiring a Data Scientist to lead and scale our Intelligent Offer Management engine a key pillar of our revenue optimization strategy. This role sits at the intersection of data science, pricing strategy, product thinking, and experimentation, enabling personalized, dynamic, and contextual offer decisions at scale. You&aposll work closely with product managers, business teams, and engineers to build models that recommend the right offer to the right customer at the right time. Key Responsibilities: Leverage recommender system techniques to enhance offer relevance, ensuring contextual personalization across customer segments. Design and implement real-time offer recommendation models using historical purchase, engagement, and behavioral data. Develop algorithms for dynamic pricing, offer personalisation, segmentation, and discount optimisation. Collaborate with cross-functional stakeholders to translate business requirements into data science solutions. Conduct A/B and multivariate experiments to evaluate offer performance and optimise offer strategies. Build predictive models for conversion propensity, elasticity curves, and uplift measurement. Package models for production deployment, ensuring scalability, performance, and monitoring. Influence product design and customer journeys with data-driven insights. Must-Have Qualifications: 3-6 years of experience in data science, quantitative analytics, or pricing strategy roles. Proficiency in Python and SQL, with experience in building, validating, and deploying ML models. Deep understanding of offer science, pricing elasticity, behavioural economics, and incentive systems. Strong business acumen with the ability to balance accuracy with impact and speed. Experience working with experimentation frameworks and statistical inference. Ability to communicate complex insights effectively to both technical and non-technical stakeholders. Show more Show less

As an ML Engineer, you will play a crucial role in developing and implementing various Machine Learning models that contribute to the growth of the company. Your primary focus will be on creating ML workflows tailored for the legal industry to enhance the efficiencies of in-house teams at Draft n Craft. This position offers you the opportunity to enhance your ML/Data Engineering skills while actively participating in the creation of valuable products. Your responsibilities will include developing data ingestion and preprocessing pipelines to extract actionable insights from legal data, ensuring accurate and consistent data cleaning for ML models, and experimenting with different ML models and architectures suitable for the legal industry. You will also be responsible for deploying ML models in production environments, analyzing model performance metrics, and improving model efficiencies. Additionally, you will document data preprocessing steps, model development processes, and optimization techniques. Collaboration with software engineers within the company will be essential, requiring an understanding of software development terminologies. Integration of ML models into existing software solutions and employee workflows will also be part of your role. The ideal candidate holds a degree in Computer Science Engineering, Data Science, or related fields. A minimum of 2 years of experience as an ML Engineer or Data Scientist is required, along with strong programming skills in Python and familiarity with libraries such as Tensorflow, PyTorch, and Pandas. Proficiency in SQL/NoSQL for database querying, working with data extraction and ETL pipelines, and experience in NLP, Neural Networks, and Gen AI technologies are essential. Familiarity with transfer learning on LLM models and deploying ML models to cloud services like AWS/Azure is preferred. Some experience in software development will be advantageous. This is a full-time position with a preferred total work experience of 6 years. The work location is in person.,

The ideal candidate for this position should have at least 6+ years of experience in Machine Learning, with a primary focus on Google Vertex AI and Python. You must possess a strong understanding of MLOps practices and hands-on experience in deploying and productionizing ML models. Proficiency in Python is a must, along with experience working with Google Vertex AI. Additionally, solid knowledge of machine learning algorithms such as XGBoost, Classification models, and BigQuery ML (BQML) is required. As a member of the team, your key responsibilities will include designing, building, and maintaining ML infrastructure on Google Cloud Platform (GCP) using tools like Vertex AI, GKE, Dataflow, BigQuery, and Cloud Functions. You will be responsible for developing and automating ML pipelines for model training, validation, deployment, and monitoring using tools like Kubeflow Pipelines, TFX, or Vertex AI Pipelines. Collaboration with Data Scientists to productionize ML models and support experimentation workflows will be essential. You will also be expected to implement model monitoring and alerting for drift, performance degradation, and data quality issues, along with managing and scaling containerized ML workloads using Kubernetes (GKE) and Docker. Setting up CI/CD workflows for ML using tools like Cloud Build, Bitbucket, Jenkins, or similar will be part of your daily tasks. Ensuring proper security, versioning, and compliance across the ML lifecycle is crucial, as well as maintaining documentation, artifacts, and reusable templates for reproducibility and auditability. Having a GCP MLE Certification will be considered a plus. This is a full-time, permanent position with the possibility of remote work. The job location is Hyderabad, and the work schedule includes day and morning shifts. Application Questions: - Do you have hands-on experience in deploying and productionizing ML models - Are you proficient in Python - Do you have experience with Google Vertex AI - Do you have solid knowledge of machine learning algorithms such as XGBoost, Classification models, BigQuery ML (BQML) If you meet the qualifications and are looking for a challenging opportunity in the field of Machine Learning, we encourage you to apply for this position.,

As a Senior Software Engineer with 12-16 years of experience in supply chain retail technology, you will be joining the Fulfilment Optimization team at Wayfair. The team is responsible for building platforms that determine how customer orders are fulfilled, focusing on optimizing Wayfair profitability and customer satisfaction. Your role will involve enhancing and scaling customer-facing platforms that provide fulfillment information on the website, ensuring the accurate representation of the dynamic supply chain, and surfacing the necessary information for customers, suppliers, and carriers in real-time. In this position, you will partner with business stakeholders to provide transparency, data, and resources for informed decision-making. You will be a technical leader within and across the teams, driving high-impact architectural decisions and hands-on development following best design and coding practices. Your responsibilities will include ensuring production readiness, identifying risks and proposing solutions, contributing to the team's strategy and roadmap, and fostering a culture of continuous learning and innovation. To be successful in this role, you should have a Bachelor's Degree in Computer Science or a related field, along with at least 12 years of experience in a senior engineer or technical lead role. You should have mentored a team of 10-12 people and possess expertise in developing and designing scalable distributed systems. Strong communication skills, the ability to collaborate effectively with cross-functional teams, and a passion for mentoring and leading engineers are essential qualities for this role. Experience in designing APIs and microservices, working with cloud technologies (specifically GCP), data processing, data pipelines, and familiarity with common open-source platforms and tools such as Kafka, Kubernetes, Java microservices, and GraphQL APIs are highly desirable. Additionally, experience in designing and developing recommendation systems, productionalizing ML models, and working with event-driven systems and technologies would be advantageous. Joining Wayfair means being part of one of the world's largest online destinations for home goods. With a commitment to industry-leading technology and creative problem-solving, Wayfair offers rewarding career opportunities for individuals seeking rapid growth, continuous learning, and dynamic challenges. If you are looking to be a part of a team that is reinventing the way people shop for their homes, Wayfair is the place for you. Please review our Candidate Privacy Notice for information on how your personal data is processed. If you have any questions or wish to exercise your privacy rights, please contact us at dataprotectionofficer@wayfair.com.,

As a global leader in cybersecurity, CrowdStrike protects the people, processes, and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe, and their lives moving forward. We are also a mission-driven company that cultivates a culture giving every CrowdStriker the flexibility and autonomy to own their careers. We are always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation, and a fanatical commitment to our customers, our community, and each other. Are you ready to join a mission that matters The future of cybersecurity starts with you. This role will lead our Data Engineering team, focusing on tools, services, and pipelines for Data scientist, analysts, threat researchers, and internal partners. The manager will lead the Data Engineering team in developing tools, services, and pipelines for data scientists, analysts, threat researchers, and internal partners. Close collaboration with cross-functional teams, product management, and security researchers is required to advance research and development while cultivating team culture and supervising direct reports. You will lead the development of next-generation experimental ML models that help customers identify and detect threats while establishing technical vision and roadmap. Managing a distributed team of engineers and technical leads, fostering a collaborative culture while coordinating across time zones to deliver high-quality initiatives. The role necessitates partnership with product management and engineering teams to translate experiments into customer-facing products that influence CrowdStrike's CTO organizational strategy. You will own validation processes for internal services, implementing automated workflows that maintain CrowdStrike's high standards for security solutions. Qualifications: - 10+ years in development and shipping products. - 3+ years of management experience with a proven ability to lead technical teams. - Hands-on technical leadership in Data Engineering. - Excellent communication skills for executive and technical audiences. - Experience with Agile/Scrum methodology and the ability to scale processes. - Programming skills in Go, Python, or similar languages. Bonus Points: - Experience in the cybersecurity space. - Experience with AWS tools, distributed systems such as Kafka, Cassandra. - Experience in CI/CD tools and automation. - Remote/distributed multi-team leadership experience. - Understanding of CVE analysis. - Experience with organizational scaling, SDLC, and process optimization. - GenAI/Agentic AI automation experience. Benefits of Working at CrowdStrike: - Remote-friendly and flexible work culture. - Market leader in compensation and equity awards. - Comprehensive physical and mental wellness programs. - Competitive vacation and holidays for recharge. - Paid parental and adoption leaves. - Professional development opportunities for all employees regardless of level or role. - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections. - Vibrant office culture with world-class amenities. - Great Place to Work Certified across the globe. CrowdStrike is proud to be an equal opportunity employer, committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,

We are seeking a Sr. Data Engineer to join our Data Engineering team within our Enterprise Data Insights organization to build data solutions, design and implement ETL/ELT processes and manage our data platform to enable our cross functional stakeholders. As a part of our Corporate Engineering division, our vision is to spearhead technology and data-led solutions and experiences to drive growth & innovation at scale. The ideal candidate will have a strong Data Engineering background, advanced Python knowledge and experience with cloud services and SQL/NoSQL databases. You will work closely with our cross functional stakeholders in Product, Finance and GTM along with Business and Enterprise Technology teams. As a Senior Data Engineer, you will: Collaborating closely with various stakeholders to prioritize requests, identify improvements, and offer recommendations. Taking the lead in analyzing, designing, and implementing data solutions, which involves constructing and designing data models and ETL processes. Cultivating collaboration with corporate engineering, product teams, and other engineering groups. Leading and mentoring engineering discussions, advocating for best practices. Actively participating in design and code reviews. Accessing and exploring third-party data APIs to determine the data required to meet business needs. Ensuring data quality and integrity across different sources and systems. Managing data pipelines for both analytics and operational purposes. Continuously enhancing processes and policies to improve SLA and SOX compliance. You'll be a great addition to the team if you have: Hold a B.S., M.S., or Ph.D. in Computer Science or a related technical field. Possess over 5 years of experience in Data Engineering, focusing on building and maintaining data environments. Demonstrate at least 5 years of experience in designing and constructing ETL/ELT processes, managing data solutions within an SLA-driven environment. Exhibit a strong background in developing data products, APIs, and maintaining testing, monitoring, isolation, and SLA processes. Possess advanced knowledge of SQL/NoSQL databases (such as Snowflake, Redshift, MongoDB). Proficient in programming with Python or other scripting languages. Have familiarity with columnar OLAP databases and data modeling. Experience in building ELT/ETL processes using tools like dbt, AirFlow, Fivetran, CI/CD using GitHub, and reporting in Tableau. Possess excellent communication and interpersonal skills to effectively collaborate with various business stakeholders and translate requirements. Added bonus if you also have: A good understanding of Salesforce & Netsuite systems Experience in SAAS environments Designed and deployed ML models Experience with events and streaming data

Role: Gen AI Engineer Exp: 5 to 8 yrs. Loc: Bangalore, Pune, Hyderabad NP: Immediate joiners, who can join in 30 days. Required Skills: Python, Large Language Models (LLM), Machine Learning (ML), Generative AI Required Candidate profile Looking for candidates working in Data Analytics companies preferably.

At PwC, the focus in data and analytics revolves around leveraging data to drive insights and make informed business decisions. By utilizing advanced analytics techniques, our team helps clients optimize operations and achieve strategic goals. As a professional in data analysis at PwC, you will specialize in utilizing advanced analytical techniques to extract insights from large datasets, supporting data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently seeking individuals with a strong analytical background to join our Analytics Consulting practice. As a Senior Associate, you will be an essential part of business analytics teams in India, collaborating with clients and consultants in the U.S. You will lead teams for high-end analytics consulting engagements and provide business recommendations to project teams. **Years of Experience:** Candidates should possess 4+ years of hands-on experience. **Must Have:** - Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCPs Vertex AI platform, AWS SageMaker) - Knowledge of predictive/prescriptive analytics, particularly in the usage of Log-Log, Log-Linear, Bayesian Regression techniques, Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks - Good knowledge of statistics, including statistical tests & distributions - Experience in Data analysis, such as data cleansing, standardization, and data preparation for machine learning use cases - Experience in machine learning frameworks and tools (e.g., scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) - Advanced level programming in SQL or Python/Pyspark - Expertise with visualization tools like 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 project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the U.S. as a subject matter expert to formalize data sources, acquire datasets, and clarify data & use cases for a strong understanding of data and business problems - Drive and conduct analysis using advanced analytics tools and mentor junior team members - Implement quality control measures to ensure deliverable integrity - Validate analysis outcomes and recommendations with stakeholders, including the client team - Build storylines and deliver presentations to the client team and/or PwC project leadership team - Contribute to knowledge sharing and firm building activities **Professional And Educational Background:** - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

Design and deploy AI-powered automation workflows. Build ML/NLP models, create scalable APIs, integrate with CRMs/ERPs, and lead end-to-end AI solution delivery in production.

Job Description Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. 6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. Familiarity with vector databases and embedding techniques. Experience deploying models using APIs, Docker, and cloud platforms Strong analytical, problem-solving, and communication skills. Experience in ML Ops, Model deployment, Model lifecycle and management

As a Business Analyst at PhonePe Limited, you will play a crucial role in the pod strategy by defining critical metrics, monitoring performance trends, and influencing interventions based on performance. You will collaborate closely with the business and product functions to understand the business problem and translate them into the right analytical problem statements. Your responsibilities will include owning the insight generation phase, conducting deep and thorough analysis to provide unbiased answers, and presenting evidence-backed data-driven hypotheses to influence decisions. In this role, you will move beyond being just the "Data person" and contribute with individual thoughts on improving critical metrics for the pod. As an integral part of the team, you are expected to act as the analytics and visualization subject matter expert, ensuring that dashboards are designed and built in a way that facilitates easy consumption of data by the pod. Additionally, you will be responsible for mentoring other analysts in the team, actively participating in the hiring process, and assisting in the onboarding process of new team members. To excel in this position, you should possess a minimum of 4 years of analytics experience in relevant roles, strong problem-solving and analytical skills, and a penchant for business with curiosity to understand how products work. Proficiency in writing complex SQL queries to manipulate and consolidate multiple data sources for dashboarding and analysis is essential. You should have an intuition for data, the ability to handle big data sources, and a strong working knowledge of Excel and visualization tools like PowerBI, Tableau, and QlikView. Knowledge of data-analysis languages such as R, Python, and core statistical concepts is expected. Experience in building ML models is advantageous but not mandatory. Effective communication skills, both verbal and written, are crucial, and candidates who can articulate the story behind their analysis will have an advantage. Joining PhonePe as a full-time employee comes with a range of benefits, including insurance coverage (medical, critical illness, accidental, life), wellness programs, parental support programs, mobility benefits, retirement benefits, and other perks like higher education assistance, car lease, and salary advance policy. If you are a first-principle problem solver who is passionate about working with data and eager to uncover insights that drive business growth, PhonePe is the place for you to bring your best self to work every day and contribute to building platforms that impact millions.,

Job Summary: We are looking for a results-driven and innovative AI/ML Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning systems at scale. Youll collaborate with cross-functional teams to integrate AI capabilities into products and services, transforming data into actionable insights and intelligent automation. Key Responsibilities: Design, implement, and maintain scalable machine learning models and pipelines. Work closely with data scientists to transition prototypes into production-ready solutions. Optimize models for performance, scalability, and low-latency inference. Deploy models using modern MLOps practices (e.g., CI/CD, model monitoring, versioning). Collaborate with data engineers to build efficient data pipelines and feature stores. Continuously monitor and improve the performance of deployed models. Integrate AI/ML systems with cloud services, APIs, and front-end applications. Stay up to date with the latest developments in AI/ML frameworks, tools, and research. Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 5+ years of experience in machine learning, software engineering, or a related area. Strong programming skills in Python, R Programming Language and experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn. Experience deploying ML models in production (e.g., REST APIs, batch processing, real-time inference). Familiarity with cloud platforms like AWS, OCI, GCP, or Azure (e.g., Sagemaker, Vertex AI). Solid understanding of software engineering best practices (version control, testing, debugging). Strong knowledge of statistical analysis, predictive modelling, and deep learning. Experience working with large datasets and distributed computing tools (e.g., Spark, Dask). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Preferred Qualifications: Experience with deep learning, NLP, or computer vision. Knowledge of distributed systems and big data tools (e.g., Spark, Kafka, Hadoop). Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow). Experience with model interpretability and explainability techniques. Contributions to open-source AI/ML projects or research publications.

Abhinandan Ventures is a collective of high-growth new-age businesses that support ambitious ideas to create disruptive businesses. The company provides patient capital for value creation and fosters a culture of performance-driven leadership. They specialize in cultivating consumer-centric brands at the forefront of innovation, shaping industries with sound business practices. The House of Abhinandan Lodha, a consumer tech brand under Abhinandan Ventures, disrupts traditional land ownership by leveraging technology to make land more accessible, flexible, and secure. Their mission is to create intergenerational wealth for consumers by reinventing the land buying process and promoting sustainable development practices. As part of the corporate philosophy, The House of Abhinandan Lodha emphasizes transparency, sustainability, and social responsibility in all dealings. They use technology to digitize land ownership, simplify investments, and enhance lifestyle amenities, aiming to make land ownership a younger, nimbler, and more viable asset for all. The role of a Performance Enhancement Lead at The House of Abhinandan Lodha involves driving data-driven marketing transformation by integrating MarTech capabilities with robust data analytics. The selected candidate will be responsible for managing the marketing technology stack, enhancing marketing efficiency, and leveraging data insights to drive growth, customer engagement, and ROI. Key Responsibilities: - Define and lead the integrated MarTech and data analytics roadmap aligned with business goals - Drive performance marketing efficiency by integrating Salesforce platforms and tools - Implement and optimize Salesforce Marketing Cloud and Salesforce Data Cloud - Develop and manage marketing automation frameworks using CRM and customer data platforms - Utilize analytics tools like Tableau and Google Analytics for actionable insights - Implement predictive analytics for lead scoring, customer segmentation, and churn prediction - Oversee personalization engines, recommendation systems, and ML models - Ensure seamless integration of AdTech, CMS, and DXP platforms for unified marketing operations - Collaborate with cross-functional teams for data-driven marketing strategy - Monitor and report on marketing performance metrics, leading performance enhancement initiatives Key Requirements: - 8-12 years of experience in MarTech, CRM, and Data Analytics roles - Expertise in Salesforce Marketing Cloud, Salesforce Data Cloud, and CDP platforms - Hands-on knowledge of marketing automation, web analytics, Tableau, and data storytelling - Experience with ML models in marketing contexts and understanding of AdTech integrations - Ability to drive measurable outcomes through partnership with business and tech teams Key Attributes: - Strategic and analytical thinker with strong execution capability - Ownership and ability to work across functions in a fast-paced environment - Excellent communication and stakeholder management skills - Passion for marketing innovation and data-driven growth The Performance Enhancement Lead at The House of Abhinandan Lodha plays a crucial role in driving marketing transformation and accelerating business growth through technology and data-driven strategies.,