Role & responsibilities Job Description Java, Spark, Data Engineering, Big Data, AWS or GCP Roles & Responsibilities Design and Develop data platforms & data pipelines using Java, Spark, Data Engineering, Big Data, AWS or GCP Preferred candidate profile

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Technical Architect/Senior Technical Architect Exp : 10-25 years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking a highly skilled Generative AI Engineer with a strong foundation in data science and a passion for building cutting-edge AI solutions. The ideal candidate will have 10-15 years of overall experience, including at least 3 years of hands-on work in Generative AI and Large Language Models (LLMs). You will play a key role in developing and deploying advanced AI models to drive innovation and impact across our platform. Responsibilities: Design and develop advanced generative models/large language models Collaborate with other teams to integrate AI solutions into our marketing platform Manage the project lifecycle from research and development to deployment and optimization. Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects. Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy. Qualifications and Education: 4 years experience in GenAI and LLM with overall 10-15 years of experience building advanced analytics products. Strong proficiency in Python and AI frameworks. Experience in conceptualizing, developing, and leading large-scale, end-to-end projects in Generative AI, MLOps, and LLMOps Working knowledge of generative models (GANs, VAEs) and NLP. Solid understanding of machine learning algorithms and data pre-processing techniques. Knowledge of cloud computing and AI deployment (Google Cloud preferred) Excellent problem-solving, analytical, and creative thinking skills Bachelors degree in computer science or engineering discipline Experience with MySQL and/or PostgreSQL databases. Strong inter-personal communication and collaboration skills. The candidate must be able to work independently & must possess strong communication skills. A good team player, high level of personal commitment & 'can do' attitude. Demonstrable ownership, commitment and willingness to learn new technologies and frameworks Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Role & responsibilities a. Analyze and solve problems at their root, stepping back to understand the broader context Establish, meet, and monitor SLAs for support issues in conjunction with the rest of the teams b. Interface with customers, understand their requirements and deliver complete application and data solutions c. Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment d. Address and effectively manage sensitive issues and manage escalations from business teams e. Build and maintain effective internal relationships, specifically with Engineering, Site Reliability Engineering, Client Support Managers, and Ad Operations to help identify, report, and resolve issues quickly f. Learn and understand a broad range of Samsung Ads Platform and applications and know when, how, and which to use and which not to use Qualifications 4+ yrs Ad-Tech domain experience 1+ yrs experience with SQL & databases Strong written and verbal communication skills Customer centric mindset and structured approach to troubleshooting issue resolution Demonstrated experience of solving technical issues with third party SSPs, MMPs, SSAI vendors, Measurement solutions, Fraud Prevention companies etc Experience with 3P measurement vendor troubleshooting and integration Experience with support platforms tools, CRM or ticketing tools Ability to present complex technical information in a clear and concise manner to a variety of audiences, especially non-technical / go-to-market teams Experience using cloud-based tools like S3, Athena, QuickSights, and Kibana is a plus Experience as a Business/Product/Data Analyst is a plus Experience with Redshift and Snowflake is a plus

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Lead Data Scientist / TA Exp : 12 - 20 years Mode of work : Hybrid Model (3daya WFO) Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Job Description: We are looking for a highly experienced Lead Data Scientist / ML Engineer to drive innovation in Generative AI (GenAI) , search technologies , recommendation engines , and agentic AI systems . This role demands both technical excellence and strategic vision, combining deep hands-on expertise in AI/ML with proven leadership in building and scaling data science teams. Key Responsibilities: 1. Technical & Strategic Leadership Define and execute AI strategies aligned with business goals. Lead and mentor a high-performing team of data scientists and ML engineers. Drive architectural decisions and innovation in AI-powered products. 2. Generative & Agentic AI Build and deploy GenAI models for text generation and content automation. Develop agentic AI systems with autonomous task planning and decision-making capabilities. Apply latest deep learning advancements (transformers, diffusion models, etc.) to real-world use cases. 3. Search & Recommendation Systems Design scalable, high-performance search and recommendation platforms. Implement ML models for ranking, personalization, and relevance optimization. Leverage real-time feedback loops and experimentation (A/B testing). 4. Large Language Models (LLMs) Fine-tune and operationalize LLMs (e.g., GPT, BERT) for NLP tasks. Work closely with product teams to integrate LLMs into applications. Establish best practices for LLMOps, including prompt engineering and monitoring. 5. Machine Learning Engineering & MLOps Build robust ML pipelines for model development, deployment, and monitoring. Implement MLOps using CI/CD, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure). Ensure responsible AI practices and data governance compliance. 6. Collaboration & Stakeholder Engagement Translate business needs into ML solutions in partnership with product and engineering teams. Communicate insights and recommendations to stakeholders across levels. Promote a culture of data-driven decision-making. 7. Research & Innovation Stay updated on the latest in AI/ML and contribute to R&D efforts. Encourage experimentation, POCs, and technical publications. Required Qualifications: Masters or PhD in Computer Science, AI, Data Science, or related field. 12+ years of experience in data science/ML, with 5+ years in leadership roles. Strong experience in: Generative AI (e.g., GANs, VAEs, transformer models) Search & Recommendation Systems LLMs & NLP using frameworks like Hugging Face, TensorFlow, PyTorch Agentic AI and autonomous systems ML Engineering & MLOps Leadership skills with proven success in managing cross-functional teams. Strong communication and stakeholder management abilities. Preferred Skills: Experience with big data tools (Spark, Hadoop, Kafka). DevOps tools: Jenkins, GitLab CI, Terraform. Exposure to edge computing and distributed systems. Contributions to open-source AI/ML projects or research publications. Please check below link for organisation details https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Technical Architect/Senior Technical Architect Exp : 10-25 years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are looking for an experienced Senior Lead Data Scientist / ML Engineer with a strong blend of pre-sales expertise, team leadership , and technical proficiency across classical machine learning, deep learning, and generative AI . You will engage in high-level client discussions, drive technical sales strategies, and lead a team to design and implement cutting-edge ML solutions. This is a strategic role requiring both thought leadership and hands-on technical contributions. Roles & Responsibilities Key Responsibilities Pre-Sales & Client Engagement Collaborate with the sales and business development teams to identify client needs and formulate AI/ML solutions. Present technical concepts, project proposals, and proof-of-concepts (POCs) to prospects and clients. Translate complex client requirements into actionable project scopes, estimates, and technical proposals. Leadership & Team Management Provide direction, mentorship, and performance feedback to a team of data scientists and ML engineers. Establish best practices in solution design, code reviews, model validation, and production deployment. Drive the strategic roadmap for AI initiatives,ensuring alignment with organizational goals and market trends. Classical Machine Learning & Statistical Modeling Apply classical machine learning techniques (e.g.,regression, clustering, decision trees, ensemble methods) to solve diverse business problems. Design and optimize data pipelines, feature engineering processes, and model selection strategies. Ensure robust model evaluation, tuning, and performance monitoring in production environments Deep Learning & Generative AI Develop and maintain deep learning models using frameworks such as TensorFlow or PyTorch for tasks like computer vision, NLP, or recommendation systems. Explore and build solutions leveraging generative AI (GANs, VAEs, or transformer-based architectures) for innovative product features and services. Champion research and experimentation with state-of-the-art AI models, staying ahead of industry advances. Project Delivery & MLOps Lead end-to-end ML project lifecycles, from data exploration and model development to deployment and post-launch maintenance. Implement MLOps best practices (CI/CD,containerization, model versioning) on cloud or on-premise infrastructures. Collaborate with DevOps and engineering teams to integrate ML solutions seamlessly into existing systems. Stakeholder Management & Communication Serve as a key technical advisor to executive leadership, product managers, and client teams. Communicate complex AI/ML findings in clear,actionable terms to both technical and non-technical audiences. Advocate data-driven decision-making and foster a culture of innovation within the organization. Required Qualifications Education & Experience Masters or PhD in Computer Science, Data Science, Engineering, or a related field is preferred. 12+ years of relevant industry experience in data science or ML engineering, with 5+ years in a leadership or management capacity. Technical Expertise Pre-Sales : Demonstrated experience in client-facing roles, solutioning, and proposal development. Classical ML : Skilled in traditional algorithms (regression, classification, clustering, etc.) and statistical methods. Deep Learning : Hands-on expertise with frameworks (e.g., TensorFlow, PyTorch) for CNNs, RNNs, transformer architectures, etc. Generative AI : Practical exposure to GANs, VAEs, or large language models, with a track record of building generative models. MLOps : Familiarity with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS, Azure, GCP). Leadership & Communication Proven ability to mentor and lead data science/ML engineering teams to meet project goals. Exceptional communication skills for presenting to clients, stakeholders, and executive leadership. Experience in agile methodologies and project management, balancing multiple projects simultaneously. Preferred / Bonus Skills Experience in big data ecosystems (Spark, Hadoop) for large-scale data processing. Background in NLP , computer vision , or recommendation systems . Knowledge of DevOps tools (Jenkins, GitLab CI, Terraform) for infrastructure automation. Track record of published research or contributions to open-source AI projects. Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Role & responsibilities Years of exp - 8-15 Years Location Bangalore and Hyderabad Shifts – 5 days working from office working timing is 5:30 pm to 2:30 AM Proven experience in Windows Server administration Hands-on experience with Exchange Online, Microsoft Teams, SharePoint, and OneDrive for Business. Experience with Azure AD, PowerShell scripting, and Microsoft 365 security and compliance tools. Awareness of Conditional Access Policies Strong knowledge of Exchange Server 2013/2016/2019, Exchange Online, Active Directory, and PowerShell scripting. Strong knowledge of Microsoft 365 Admin Center, Azure AD, Exchange Admin Center, and SharePoint Online. Experience configuring and managing security policies, including MFA, conditional access, and data governance tools. Familiarity with managed configurations (ABM, Configuration Policy) Experience supporting Single Sign-On using Active Directory Federation Services with Multi Factor Authentication. Experience with supporting anti-spam filtering, logging and email tracking and transport rules. Strong analytical and troubleshooting skills. Good communication and documentation skills Roles & Responsibilities Act as a Subject Matter Expert in the below areas Windows Server Administration Install, configure, and maintain Windows Server environments (2012, 2016, 2019, or 2022). Manage Active Directory, DNS, DHCP, Group Policy, and file/print services. Perform routine server maintenance, updates, and patch management. Monitor system performance and troubleshoot server-related issues. Exchange Management: Administering and configuring Exchange Online, including mail flow, mailboxes, distribution, and dynamic groups. Perform life cycle events such as creation, modification, movement, upgrade/downgrade, deletion, or transfer of data. Develop scripts for automating processes within the environment. Perform migrations and deployments related to the building, upgrade, and maintenance of MS Exchange. User Management: Creating and managing user accounts, mailboxes, and permissions. Manage user provisioning, access control, and security group configurations. Create and manage security and distribution groups in Active Directory. Managing data loss prevention (DLP) and ensuring compliance with organizational and regulatory standards. Troubleshoot and resolve technical issues related to Exchange Online Mandatory Skills Windows Server, Exchange Online, communication skills, Exchange Administration, active directory, troubleshooting, power shel. Preferred candidate profile

Java (11/8 or higher), Observability tool:Prometheus/ Grafana/OpenTelemetry/ELK/Jaeger/Zipkin/New Relic,Docker/Kubernetes,CI/CD pipline,Architect Exp - 8 to 12 Years Job Type: Full-time Pay: ₹3,500,000.00 - ₹4,500,000.00 per year Schedule: Day shift Work Location: In person

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : SSE/TL/ATA Exp : 3 - 10 years Mode of work : Hybrid Model Work Location : Kolkata Role Overview: We are seeking a highly skilled and experienced Senior Software Developer to join our team. The ideal candidate will possess a strong background in software development, a deep understanding of various programming languages and frameworks, and the ability to lead complex projects from conception to completion. This role requires collaboration with cross-functional teams, including product management, design, and quality assurance, to deliver high-quality software solutions that meet and exceed our clients' expectations. **Key Responsibilities:** - Design, develop, and maintain robust, scalable, and efficient software applications. - Collaborate with product managers and stakeholders to gather and analyze requirements, translating them into technical specifications and solutions. - Lead the architectural design of software systems, ensuring they align with best practices and development standards. - Mentor and provide guidance to junior developers, fostering an environment of continuous learning and improvement. - Conduct code reviews and provide constructive feedback to enhance code equality and performance. - Troubleshoot, debug, and resolve software defects and performance issues in a timely manner. - Staffy up to date with emerging technologies and industry trends, making recommendations for their adoption within our projects. - Contribute to documentation for system design, development processes, and user manueuals. - Participate in agile development practices and help drive continuous improvement in our development processes. Roles & Responsibilities 1. **Software Development:** - Design, develop, test, and maintain high-quality software applications using various programming languages and frameworks. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications and development tasks. 2. **Code Quality and Best Practices:** - Ensure the adherence to coding standards, best practices, and methodologies (e.g., Agile, DevOps). - Conduct code reviews and provide constructive feedback to team members to enhance code quality and performance. 3. **System Architecture:** - Contribute to the architectural design and overall system architecture discussions to ensure robust and scalable solutions. - Identify and address technical challenges and propose feasible solutions. 4. **Mentorship and Leadership:** - Mentor and guide junior developers to enhance their skills and knowledge. - Take the initiative in leading projects and providing direction to the development team. 5. **Collaboration:** - Work closely with Product Managers, UX/UI Designers, and other stakeholders to ensure alignment between technical and business objectives. - Participate in daily stand-ups, sprint planning, and retrospectives to promote effective team collaboration. 6. **Troubleshooting and Bug Fixing:** - Diagnose, troubleshoot, and resolve software defects and issues promptly. - Proactively identify potential problems and implement preventive measures. 7. **Documentation:** - Create and maintain detailed technical documentation related to software design, architecture, and development processes. - Ensure that documentation is up-to-date and easily accessible for current and future team members. 8. **Performance Monitoring and Optimization:** - Monitor application performance, identify bottlenecks, and implement optimizations to improve application efficiency and user experience. - Stay updated with industry trends and best practices to incorporate the latest technologies and tools in development processes. 9. **Continuous Improvement:** - Actively participate in technology evaluation and selection processes, proposing improvements to existing systems. - Encourage a culture of continuous learning and improvement within the development team. 10. **Security and Compliance:** - Ensure adherence to security best practices and guidelines in software development. - Assist in compliance with relevant legal and regulatory requirements. Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Data Scientist / Senior Data scientist/ Lead Data scientist Exp : 6 - 12years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking a highly skilled Generative AI Engineer with a strong foundation in data science and a passion for building cutting-edge AI solutions. The ideal candidate will have 6 - 10years of overall experience, including at least 2-3 years of hands-on work in Generative AI and Large Language Models (LLMs). You will play a key role in developing and deploying advanced AI models to drive innovation and impact across our platform. Responsibilities: Design and develop advanced generative models/large language models Collaborate with other teams to integrate AI solutions into our marketing platform Manage the project life cycle from research and development to deployment and optimization. Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects. Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy. Qualifications and Education: 2-3 years experience in GenAI and LLM with overall 6- 12 years of experience building advanced analytics products. Strong proficiency in Python and AI frameworks. Experience in conceptualizing, developing, and leading large-scale, end-to-end projects in Generative AI, MLOps, and LLMOps Working knowledge of generative models (GANs, VAEs) and NLP. Solid understanding of machine learning algorithms and data pre-processing techniques. Knowledge of cloud computing and AI deployment (Google Cloud preferred) Excellent problem-solving, analytical, and creative thinking skills Bachelors degree in computer science or engineering discipline Experience with MySQL and/or PostgreSQL databases. Strong inter-personal communication and collaboration skills. The candidate must be able to work independently & must possess strong communication skills. A good team player, high level of personal commitment & 'can do' attitude. Demonstrable ownership, commitment and willingness to learn new technologies and frameworks Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Desired Candidate Profile Proficiency in Apache Kafka messaging system for building event-driven architectures. Strong expertise in Java programming language with proficiency in Spring Boot framework.

Role & responsibilities Job Title Snowflake with Python Job Description Job Title: Snowflake Data Engineer (TL) Location: Bangalore, Hyderabad, Pune, Noida, Kolkata Work Experience: 3 to 12 years Role & Required Skills: Proven experience in Snowflake. Good experience in SQL and Python. Experience in Data Warehousing. Experience in Data migration from SQL to Snowflake. AWS experience is nice to have. Good communication skills. Responsibilities: Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics). Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models. Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Analyze and translate business needs into long-term solution data models. Evaluate existing data systems. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross-compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems. Roles & Responsibilities Role & Required Skills: Proven experience in Snowflake. Good experience in SQL and Python. Experience in Data Warehousing. Experience in Data migration from SQL to Snowflake. AWS experience is nice to have. Good communication skills. Preferred candidate profile

Role & responsibilities Job Title: Java Developer Spring Boot & Kafka Location: Bangalore Experience: 5 to 15 Years Employment Type: Full-Time Work Mode: All 5 days WFO Job Summary: We are looking for a highly skilled and motivated Java Developer with hands-on experience in Spring Boot and Kafka to join our dynamic engineering team. You will be responsible for designing, developing, and deploying high-performance, scalable backend services and real-time event-driven applications. Key Responsibilities: Design, develop, test, and maintain scalable and robust microservices using Java and Spring Boot . Build and maintain Kafka event streams and messaging architectures for real-time data flow and integration between systems. Work closely with architects, DevOps, QA, and other developers to ensure smooth development and deployment processes. Participate in code reviews, design discussions, and performance tuning sessions. Implement best practices in coding, testing, and continuous integration/delivery. Troubleshoot and resolve technical issues across environments. Maintain documentation and provide technical support when necessary. Required Skills: Strong programming skills in Java 8/11/17+ . Hands-on experience with Spring Boot . Expertise in Apache Kafka , Kafka Streams, and related messaging patterns. Experience in building RESTful APIs and microservices architecture . Understanding of event-driven architecture and asynchronous processing . Familiarity with database technologies (SQL and NoSQL – e.g., PostgreSQL, MongoDB). Experience with tools such as Git , Maven/Gradle , and Jenkins . Knowledge of Docker and container orchestration platforms (Kubernetes is a plus). Good to Have: Exposure to cloud platforms like AWS, Azure, or GCP. Familiarity with CI/CD pipelines , monitoring, and logging tools. Experience with unit testing frameworks like JUnit, Mockito. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Proven track record of working on backend systems and Kafka-based architectures. Preferred candidate profile

We are seeking an experienced Data Platform Reliability Engineer to lead our efforts in designing, implementing, and maintaining highly reliable data infrastructure. The ideal candidate will bring extensive expertise in building enterprise-grade data platforms with a focus on reliability engineering, governance, and SLA/SLO design. This role will be instrumental in developing advanced monitoring solutions, including LLM-powered systems, to ensure the integrity and availability of our critical data assets. Platform Architecture and Design Design and architect scalable, fault-tolerant data platforms leveraging modern technologies like Snowflake, Databricks, and cloud-native services Establish architectural patterns that ensure high availability and resiliency across data systems Develop technical roadmaps for platform evolution with reliability as a core principle Reliability Engineering Implement comprehensive SLA/SLO frameworks for data services Design and execute chaos engineering experiments to identify and address potential failure modes Create automated recovery mechanisms for critical data pipelines and services Establish incident management processes and runbooks Monitoring and Observability Develop advanced monitoring solutions, including LLM-powered anomaly detection Design comprehensive observability strategies across the data ecosystem Implement proactive alerting systems to identify issues before they impact users Create dashboards and visualization tools for reliability metrics Data Quality and Governance Establish data quality monitoring processes and tools Implement data lineage tracking mechanisms Develop automated validation protocols for data integrity Collaborate with data governance teams to ensure compliance with policies Innovation and Improvement Research and implement AI/ML approaches to improve platform reliability Lead continuous improvement initiatives for data infrastructure Mentor team members on reliability engineering best practices Stay current with emerging technologies and reliability patterns in the data platform space Qualifications 10+ years of experience in data platform engineering or related fields Proven expertise with enterprise data platforms (Snowflake, Databricks, etc.) Strong background in reliability engineering, SRE practices, or similar disciplines Experience implementing data quality monitoring frameworks Knowledge of AI/ML applications for system monitoring and reliability Excellent communication skills and ability to translate technical concepts to diverse stakeholders

Proficient in application, data, and infrastructure architecture disciplines. Advanced knowledge of architecture, design, and business processes. Hands-on experience with AWS. Proficiency in modern programming languages such as Python and Scala. Expertise in Big Data technologies like Hadoop, Spark, and PySpark. Experience with deployment tools for CI/CD, such as Jenkins. Design and develop integration solutions involving Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions. Apply system development lifecycle methodologies, such as Waterfall and Agile. Understand and implement data architecture and modeling practices, including entity-relationship diagrams, normalization, abstraction, denormalization, dimensional modeling, and metadata modeling. Utilize knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development, and Big Data solutions. Work collaboratively in teams to develop meaningful relationships and achieve common goals. Strong analytical skills with deep expertise in SQL. Solid understanding of Big Data concepts, particularly with Spark and PySpark/Scala. Experience with CI/CD using Jenkins. Familiarity with NoSQL databases. Excellent communication skills.

We are seeking a Data Scientist / ML Engineer with comprehensive knowledge in AI/ML , strong coding prowess, and an intrinsic passion for R&D . You will be responsible for designing, developing, and deploying machine learning solutions, while also driving innovation through research and experimentation. If you thrive on tackling complex challenges, continuously learning new techniques, and pushing boundaries in AI, this role is for you. End-to-End Model Development Design and implement ML pipelines from data collection and preprocessing to training, validation, and deployment. Select the right models (classical ML or deep learning) and optimize them for performance and scalability. Advanced Coding & Software Engineering Write clean, efficient, and maintainable code in Python (or relevant languages like R, Scala, C++). Utilize ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.) and adhere to software engineering best practices (version control, CI/CD). Research & Innovation Stay updated with the latest AI/ML research, frameworks, and tools; propose and test new ideas or methodologies. Conduct experiments, benchmark against industry standards, and publish or present findings as needed. Data Exploration & Feature Engineering Analyze large datasets for insights; engineer relevant features and conduct appropriate transformations. Collaborate with data engineering teams to ensure data pipelines are robust and scalable. Collaboration & Mentorship Work cross-functionally with product managers, software engineers, and domain experts to integrate ML solutions into products. Share knowledge, review code, and assist junior team members in their growth and development. Deployment & Monitoring Implement MLOps best practices, including containerization (Docker), orchestration (Kubernetes), and cloud services (AWS, Azure, GCP). Monitor model performance in production; iterate and refine models to adapt to evolving data and requirements. Problem-Solving & Performance Optimization Tackle complex data challenges, optimize algorithms for latency and throughput, and ensure reliable system performance at scale. Identify and address data quality issues, model drift, and other factors affecting solution success. Required Qualifications Education & Experience Bachelor s or Master s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field. Advanced degrees are a plus. Proven track record (2+ years) in developing and deploying AI/ML solutions. (Adjust experience level as needed.) Technical Expertise Comprehensive AI/ML Knowledge : Classical ML (regression, classification, clustering, etc.) and deep learning (CNNs, RNNs, Transformers). Strong Coding Skills : Fluency in Python; familiarity with other programming languages is a bonus. R&D Mindset : Hands-on experience with research methodologies, ability to quickly prototype and evaluate new ideas. Frameworks & Tools : Proficiency in ML/DL libraries (TensorFlow, PyTorch, scikit-learn), data platforms (Spark, Hadoop) is beneficial. Cloud & Deployment : Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes). Soft Skills Excellent problem-solving ability and a hunger for tackling complex, ambiguous challenges. Strong communication skills, capable of articulating technical concepts to a diverse audience. Self-motivated with a drive to continuously learn and adopt new AI technologies. Preferred/Bonus Skills Experience with NLP , computer vision , or recommendation systems . Exposure to MLOps tools and platforms for end-to-end model lifecycle management. Contributions to open-source AI/ML projects or research publications. Background in mathematics or statistics for rigorous model validation.

Good Explosure with US Mortgage and Encompass Admistration Manage user access, roles, and security settings & loan setup settings. Configure milestones, personas, input forms, and system settings. Design, code, test, and document projects/stories/tickets related to Encompass. Manage help desk tickets and user issues, collaborating with teams to find solutions. Skilled in configuring milestones and personas, building input forms, reports, dashboards, and advanced coding of business rules. Automation and development within the Encompass system to improve efficiency and workflow. Familiarity with scripting and programming in C# and/or VB is must. In-depth understanding of the mortgage industry and loan origination life cycle. Strong problem-solving and analytical skills.

Responsibilities a. Analyze and solve problems at their root, stepping back to understand the broader context Establish, meet, and monitor SLAs for support issues in conjunction with the rest of the teams b. Interface with customers, understand their requirements and deliver complete application and data solutions c. Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment d. Address and effectively manage sensitive issues and manage escalations from business teams e. Build and maintain effective internal relationships, specifically with Engineering, Site Reliability Engineering, Client Support Managers, and Ad Operations to help identify, report, and resolve issues quickly f. Learn and understand a broad range of Samsung Ads Platform and applications and know when, how, and which to use and which not to use Qualifications 3+ yrs Ad-Tech domain experience 1+ yrs experience with SQL & databases Strong written and verbal communication skills Customer-centric mindset and structured approach to troubleshooting issue resolution. Demonstrated experience of solving technical issues with third-party SSPs, MMPs, SSAI vendors, Measurement solutions, Fraud Prevention companies, etc Experience with 3P measurement vendor troubleshooting and integration Experience with support platforms, tools, CRM, or ticketing tools Ability to present complex technical information clearly and concisely to a variety of audiences, especially non-technical / go-to-market teams Experience using cloud-based tools like S3, Athena, QuickSights, and Kibana is a plus Experience as a Business/Product/Data Analyst is a plus Experience with Redshift and Snowflake is a plus Responsibilities a. Analyze and solve problems at their root, stepping back to understand the broader context Establish, meet, and monitor SLAs for support issues in conjunction with the rest of the teams b. Interface with customers, understand their requirements and deliver complete application and data solutions c. Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment d. Address and effectively manage sensitive issues and manage escalations from business teams e. Build and maintain effective internal relationships, specifically with Engineering, Site Reliability Engineering, Client Support Managers, and Ad Operations to help identify, report, and resolve issues quickly f. Learn and understand a broad range of Samsung Ads Platform and applications and know when, how, and which to use and which not to use Qualifications 3+ yrs Ad-Tech domain experience 1+ yrs experience with SQL & databases Strong written and verbal communication skills Customer-centric mindset and structured approach to troubleshooting issue resolution. Demonstrated experience of solving technical issues with third-party SSPs, MMPs, SSAI vendors, Measurement solutions, Fraud Prevention companies, etc Experience with 3P measurement vendor troubleshooting and integration Experience with support platforms, tools, CRM, or ticketing tools Ability to present complex technical information clearly and concisely to a variety of audiences, especially non-technical / go-to-market teams Experience using cloud-based tools like S3, Athena, QuickSights, and Kibana is a plus Experience as a Business/Product/Data Analyst is a plus Experience with Redshift and Snowflake is a plus

Responsibilities a. Analyze and solve problems at their root, stepping back to understand the broader context Establish, meet, and monitor SLAs for support issues in conjunction with the rest of the teams b. Interface with customers, understand their requirements and deliver complete application and data solutions c. Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment d. Address and effectively manage sensitive issues and manage escalations from business teams e. Build and maintain effective internal relationships, specifically with Engineering, Site Reliability Engineering, Client Support Managers, and Ad Operations to help identify, report, and resolve issues quickly f. Learn and understand a broad range of Samsung Ads Platform and applications and know when, how, and which to use and which not to use Qualifications 7+ yrs Ad-Tech domain experience 2+ yrs experience with SQL & databases Strong written and verbal communication skills Customer-centric mindset and structured approach to troubleshooting issue resolution. Demonstrated experience of solving technical issues with third-party SSPs, MMPs, SSAI vendors, Measurement solutions, Fraud Prevention companies, etc Experience with 3P measurement vendor troubleshooting and integration Experience with support platforms, tools, CRM, or ticketing tools Ability to present complex technical information clearly and concisely to a variety of audiences, especially non-technical / go-to-market teams Experience using cloud-based tools like S3, Athena, QuickSights, and Kibana is a plus Experience as a Business/Product/Data Analyst is a plus Experience with Redshift and Snowflake is a plus Responsibilities a. Analyze and solve problems at their root, stepping back to understand the broader context Establish, meet, and monitor SLAs for support issues in conjunction with the rest of the teams b. Interface with customers, understand their requirements and deliver complete application and data solutions c. Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment d. Address and effectively manage sensitive issues and manage escalations from business teams e. Build and maintain effective internal relationships, specifically with Engineering, Site Reliability Engineering, Client Support Managers, and Ad Operations to help identify, report, and resolve issues quickly f. Learn and understand a broad range of Samsung Ads Platform and applications and know when, how, and which to use and which not to use Qualifications 7+ yrs Ad-Tech domain experience 2+ yrs experience with SQL & databases Strong written and verbal communication skills Customer-centric mindset and structured approach to troubleshooting issue resolution. Demonstrated experience of solving technical issues with third-party SSPs, MMPs, SSAI vendors, Measurement solutions, Fraud Prevention companies, etc Experience with 3P measurement vendor troubleshooting and integration Experience with support platforms, tools, CRM, or ticketing tools Ability to present complex technical information clearly and concisely to a variety of audiences, especially non-technical / go-to-market teams Experience using cloud-based tools like S3, Athena, QuickSights, and Kibana is a plus Experience as a Business/Product/Data Analyst is a plus Experience with Redshift and Snowflake is a plus

Job Title: Technical Architect Job Description: We are seeking a skilled and experienced Technical Architect to join our dynamic team. The ideal candidate will be responsible for designing and implementing complex software solutions while ensuring that technical frameworks align with business goals and user needs. Key Responsibilities: - Develop and manage technical architecture strategies, frameworks, and standards that support business objectives. - Collaborate with stakeholders to gather requirements and translate them into detailed architecture designs. - Lead the design and implementation of scalable and robust software solutions across various platforms. - Ensure systems are designed with reliability, performance, and security in mind. - Conduct code reviews and provide mentorship to development teams to uphold coding best practices. - Stay current with emerging technologies and industry trends, and assess their application to the organizations goals. - Facilitate communication and cooperation between cross-functional teams and business units. - Document architectural designs and maintain up-to-date architecture documentation. Qualifications: - Bachelors degree in Computer Science, Information Technology, or a related field. - Proven experience as a Technical Architect or in a similar role, with a strong portfolio of successful projects. - Expertise in one or more programming languages and frameworks such as Java, .NET, Python, or JavaScript. - Strong understanding of cloud computing, microservices architecture, and containerization technologies. - Excellent analytical, problem-solving, and organizational skills. - Proven ability to work collaboratively in a team-oriented environment. - Strong communication and interpersonal skills, with the ability to present complex technical concepts to non-technical stakeholders. We offer a competitive salary, comprehensive benefits, and opportunities for professional growth. If you are passionate about technology and architecture, we encourage you to apply and contribute to our innovative projects. Job Title: Technical Architect Roles and Responsibilities: 1. Design and develop technical architecture for software applications, ensuring scalability, reliability, and performance. 2. Collaborate with cross-functional teams, including developers, project managers, and business analysts, to gather and understand requirements. 3. Evaluate and select appropriate technology stacks, frameworks, and tools to meet project needs. 4. Create architectural blueprints and documentation that outline system components, interactions, and data flows. 5. Provide technical leadership and guidance to development teams, ensuring best practices are followed throughout the development lifecycle. 6. Address technical issues and challenges that arise during project execution, providing solutions and troubleshooting support. 7. Conduct code reviews and architecture reviews to ensure adherence to design principles and organizational standards. 8. Stay current with emerging technologies and industry trends, assessing their potential impact on existing architectures and recommending adaptations as necessary. 9. Collaborate with stakeholders to define project scope, timelines, and resource requirements, ensuring alignment with business goals. 10. Mentor junior engineers and promote knowledge sharing within the team, fostering a culture of continuous improvement. 11. Ensure compliance with security, performance, and quality standards throughout the architecture and development processes. 12. Participate in the planning and execution of system testing and deployment strategies to ensure a smooth launch. 13. Provide input for budget planning relating to technology investments and resource allocation.

8 to 11 Years - ATA Notice period: Immediate to 30 days Mandatory skills: candidate should be on Data Engineer background, Snowflake, SQL, Databricks (All mandatory) Good to have: Python, Terraform. Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Strong hands-on programming skills in core technologies is a must. Hands on experience in designing scalable solutions. Data engineering, integration, and data modeling experience Can write scalable/performant pipelines, queries, and summaries of data. Has worked with various data systems and tools. Understands analytics and data science workflows and common use cases that leverage their work. Snowflake experience (MUST) Python (Good to have) SQL (MUST) Datawarehouse experience AWS experience (good to have) Data QA / validation skills (to check their work) Matillion, DBT, or other Data tech experience (good to have)