Data Scientist II Jobs in Hyderabad

Job Title: AWS Administrator Location: Hyderabad, India Experience: 5+ Years Job Type: Full Time Job Overview We are seeking a highly skilled and versatile AWS Infrastructure & Systems Administrator with strong expertise in AWS cloud services, MS SQL Server DBA, and Windows/Linux system administration. This role also requires working knowledge of Redis and IIS web server environments. You will be responsible for ensuring the reliability, performance, and scalability of our cloud infrastructure and system architecture in a complex, multi-platform environment. Key Responsibilities AWS Infrastructure Management Design, deploy, and manage core AWS services (EC2, S3, IAM, VPC, etc.). Implement best practices for provisioning, monitoring, and cost optimization. Manage IAM roles, policies, encryption, and security best practices. Handle backups, snapshots, and disaster recovery across AWS services. Monitor system performance and utilization using AWS CloudWatch and other tools. Windows and Linux Administration Administer and maintain Windows Server and Ubuntu-based Linux systems. Perform system updates, security patching, and hardening. Monitor system health, availability, and troubleshoot OS-level issues. Automate administrative tasks using scripting (PowerShell, Bash, or Python). Manage user access, system policies, and event log monitoring. MS SQL Server DBA Responsibilities Monitor database performance (CPU, memory, I/O utilization) and query optimization. Analyze and resolve blocking, deadlocks, and contention in TempDB. Manage space, track database growth trends, and schedule backups. Validate backups with periodic test restores. Configure alerts and analyze SQL error logs for proactive issue handling. Redis Administration Monitor and optimize Redis performance (memory, latency, traffic). Manage Redis configurations and implement sharding/clustering as required. Analyze and resolve slow commands or data structure bottlenecks. IIS Administration Monitor IIS worker process performance and application pool health. Analyze request throughput, traffic patterns, and security events. Optimize configuration for reliability, load handling, and speed. Troubleshoot using logs and performance counters. Required Skills & Qualifications 5+ years of experience managing AWS infrastructure and cloud environments. 3+ years of hands-on experience as a SQL Server DBA in a production setup. Solid expertise in Windows Server and Linux (Ubuntu) system administration. Practical experience with Redis and IIS web server administration. Proficiency in automation/scripting (PowerShell, Bash, or Python). Experience with monitoring tools: CloudWatch, Grafana, Prometheus, SQL Profiler, etc. Sound understanding of networking, firewalls, and load balancing. Preferred Certifications AWS Certified SysOps Administrator or AWS Solutions Architect Microsoft Certified: Azure Database Administrator Associate (optional) RHCSA or Microsoft Certified: Windows Server Administration Fundamentals Soft Skills Strong analytical and troubleshooting abilities. Excellent verbal and written communication. Ability to work both independently and collaboratively. Detail-oriented with strong documentation and reporting skills.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Senior MLOps Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years (with 3 years specifically in ML Engineering) Company: Blend About Blend: Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value. Job Summary: We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations. Key Responsibilities: Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation. Implement essential pipeline extensions to support ongoing data science workflows. Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams. Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment. Research and apply optimization strategies for ML workflows and infrastructure performance. Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives. Qualifications: 5+ years of hands-on DevOps experience with AWS Cloud. Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services. Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions. Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments. Solid understanding of MLOps best practices and fundamental data science principles. Proficient in Python for scripting and automation tasks. Experience with building and managing Docker images. Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines. Work with cutting-edge AI and ML technologies in a highly innovative environment. Collaborate with top-tier experts in data science and cloud engineering. Opportunities for professional growth, mentorship, and certification support. Competitive compensation package and dynamic work culture. Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!

Snowflake Architect Location: Hyderabad, Telangana Work Type: On-site, Full-time Company: Blend About Blend: Blend is a premier AI services provider dedicated to driving innovation and value through data science, AI, and technology. Our mission is to co-create meaningful impact by combining human expertise with advanced AI-driven strategies. Job Summary: We are seeking an experienced Snowflake Architect to lead our data engineering efforts by designing scalable Snowflake architectures, optimizing data pipelines, and managing a high-performing team. This role requires a strategic thinker and hands-on leader to deliver secure, reliable, and efficient data solutions. Key Responsibilities: Design and implement robust Snowflake data warehouse architectures and ETL pipelines supporting business intelligence and advanced analytics. Lead and mentor a team of data engineers, ensuring timely delivery of high-quality projects. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and design effective data models. Develop, document, and enforce best practices for Snowflake architecture, data modeling, performance tuning, and ETL workflows. Optimize Snowflake environments for low latency, high availability, and cost efficiency. Drive continuous process improvements and evaluate emerging tools and technologies. Ensure data accuracy, completeness, and security, complying with data privacy regulations like GDPR and CCPA. Partner with cloud engineering and DevOps teams to integrate Snowflake solutions within AWS infrastructure. Participate in capacity planning, budgeting, and resource allocation for data engineering functions. Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (Master s preferred). 9+ years of cloud-based data engineering experience, with at least 4 years of hands-on Snowflake expertise. Proven track record in designing, deploying, and managing large-scale Snowflake data platforms. Expertise with AWS services including S3, Redshift, Lambda, Glue, etc. Strong proficiency in SQL, Python, and other data manipulation languages. Experience managing and mentoring engineering teams and leading cross-functional projects. Solid understanding of data governance, security, and compliance frameworks (GDPR, CCPA). Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: Snowflake certification(s). Experience with other cloud data warehouses such as AWS Redshift or Google BigQuery. Familiarity with Agile methodologies, CI/CD pipelines, Git, Jira, and modern development practices. Apply now to join Blend and help shape the future of data-driven innovation! Qualification : Bachelors degree in Computer Science, Information Technology, or related field (Masters preferred).

Senior Data Scientist Location: Hyderabad, Telangana, India Employment Type: Full-Time Overview Microsoft Search powers delightful and relevant experiences for enterprise users, and AI-driven Copilots have turned futuristic visions into current-day reality. We are seeking candidates who can help build the next-generation machine learning systems to drive innovation in search ranking, clustering, recommendation systems, and much more. As a Senior Data Scientist in the team, you will work independently on complex problems, define success metrics, and contribute to design and review processes for machine learning/data pipelines across the team. If you're ready to tackle challenging data science problems and help shape the future of search, we want you on our team! Key Responsibilities End-to-End Ranking: Oversee the ranking of search results and contribute to enhancing search relevance. Large Language Models (LLMs): Work on developing and deploying large language models to improve search experience and AI-powered copilots. AI-powered Copilot Scenarios: Drive innovations in AI systems that enhance user productivity and engagement through Copilot capabilities. Compliance & Privacy: Develop machine learning training pipelines at scale that are privacy and compliance-aware. Personalization: Customize search results and recommend relevant content based on user preferences. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 2+ years of data science experience OR Master s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 5+ years of data science experience OR Bachelor s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data science experience. Experience working with both structured and unstructured data, applying statistical techniques, and reporting results. Hands-on experience with implementing and shipping production-quality machine learning models or data pipelines. 2+ years of customer-facing, project-delivery experience, professional services, and/or consulting experience. Strong programming skills in Python, R, or similar languages, and familiarity with machine learning libraries. Preferred Qualifications: Prior work or research experience in the Search domain is highly preferred. Familiarity with large-scale distributed systems, cloud platforms (such as Azure), and real-time machine learning applications. Experience with deep learning and large language models (LLMs). Familiarity with compliance and privacy in machine learning pipelines. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft Search, you will be part of a team solving impactful problems for millions globally. Join us to drive cutting-edge advancements in AI and contribute to shaping the future of search and user experiences. Employee Benefits Industry-leading healthcare coverage Generous time off and family leave policies Access to educational resources and professional development Employee discounts on Microsoft products and services Opportunities for networking and global collaborations Inclusive and supportive work environment with a focus on work-life balance Microsoft is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where every individual is treated with respect and can thrive. Join us to make a global impact through innovation, collaboration, and diversity.

Software Engineer III - Artificial Intelligence/Machine Learning Company: Google Location: Hyderabad, Telangana, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio technologies (e.g., voice recognition), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the Job Google's software engineers work on next-generation technologies that reshape how billions of users connect, explore, and interact with information. Our projects scale massively and extend well beyond web search. We're looking for engineers who can bring fresh ideas from diverse areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. As a software engineer, you will focus on critical projects and have opportunities to switch teams and roles as Google s fast-paced business grows. We need engineers who are versatile, demonstrate leadership skills, and are eager to tackle new challenges across the full-stack to help push technology forward. Our mission is to organize the world's information and make it universally accessible and useful. The Devices & Services team at Google combines AI, software, and hardware to create groundbreaking user experiences. We research, design, and develop new technologies to make user interactions faster, seamless, and more powerful. Whether capturing new ways to sense the world, advancing form factors, or improving interaction methods, the Devices & Services team is making a positive impact on people's lives through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation and educational content, adapting it based on updates and feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilizing ML infrastructure and contributing to model optimization and data processing. Qualification : Bachelors degree or equivalent practical experience.

Consumer QA Analyst III At Coinbase, our mission is to increase economic freedom in the world. It s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform and with it, the future global financial system. To achieve our mission, we re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company s hardest problems. Ourwork cultureis intense and isn t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there s no better place to be. The Coinbase Customer Experience (CX) organization is on a mission to provide the most trusted and value-added Customer Support in Crypto. Our team is dedicated to eliminating customer pain points, empowering our global user base via self-service and automation, and optimizing customer support interactions to create an effortless experience. As a Consumer QA Analyst III, you will serve as a subject matter expert, quality officer, and process engineer for specific lines of business (LOB). Aligned with our mission to deliver outstanding support, you will work closely with production QA teams to ensure compliance with audit requirements, generate actionable insights, and share key findings with stakeholders. You will lead quality programs aiming to enhance metrics for your assigned LOB, embodying the philosophy that QA professionals are catalysts for improvement and innovation, not just auditors. Please note that this role is expected to report onsite in our Manila/Hyderabad office. Kindly expect to work in a US timezone per business needs. What you ll be doing (ie. job duties): Full ownership of quality program:Govern the quality management of specific lines of business assigned to you. Ensure quality deliverables are done on time based on business requirements. Analyze metric trends:Support our business operations by analyzing KPI trends and conduct root cause analysis. Surface agent and non-agent opportunities and work with different stakeholders (Workforce Management, Vendor Management, Operations, Learning & Development, Content, Compliance, etc.) by proposing a solution and executing it. Communicate quality issues: Present QA findings, insights, and recommendations persuasively to inspire positive change via business reviews and other channels with your stakeholders. Manage quality projects and deployments:Work with the QA leaders in developing quality solutions for your LOBs which will help drive metric improvement. Own dashboard management: Work with Analytics in developing and maintaining quality dashboards to monitor KPI movements. Facilitate calibration sessions: Ensure productive discussions during calibration calls with production QAs, training facilitators, and operations. Drive alignment scores above expectations. Handle disputes and escalations: Work with your stakeholders in managing audit disputes and misalignments. Clarify process grey areas and make in black and white in our agent SOPs. Prioritize critical escalations as needed and work with your stakeholders in minimizing such instances. What we look for in you (ie. job requirements): Relevant Experience:3+ years of experience in quality management in customer service operations. [For internal applicants]:Process expert with strong knowledge in complex workflows. 90%+ QA score with no captured critical error in the past 6 months, and currently not in any performance improvement plan. Mission-driven:Strong commitment to Coinbase s mission with a passion of improving customer experience. Problem solver:Excellent analytical and problem-solving skills to identify trends, patterns, and areas for improvement. Ability to translate QA data into actionable insights. Expert calibrator: Strong communications skills in facilitating discussions and handling misalignments. Ability to handle disagreements but knows when to sway to other s perspectives. Project management:Excellent project management skills in handling quality-specific projects. Reporting management: Great skills in dashboard reporting, documentation, and presentation creation. This includes proficiency in using Google Sheets, Docs, and Slides. Stakeholder management:Exceptional communication and interpersonal abilities, engaging and influencing stakeholders as needed. Organizational and time management:Excellent organizational and time management skills, able to prioritize tasks and manage competing deadlines. Nice to haves: Prior supervisory experience is a huge advantage Experience in supporting high-value customer, account management, and elevated support Basic crypto knowledge COPC or Lean Six Sigma Yellow/Green Belt certification Familiarity with change management processes Familiarity with quality management tools such as NICE/MaestroQA

KYC EDD Analyst II At Coinbase, our mission is to increase economic freedom in the world. It s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform and with it, the future global financial system. To achieve our mission, we re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company s hardest problems. Ourwork cultureis intense and isn t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there s no better place to be. This role is for the KYC EDD Analyst II as part of the operations function in the Compliance team, reporting to the Team Manager Compliance operations. In this role, Compliance EDD Analyst - II will be responsible to manage the speciality case work streams. In this role, candidates will be expected to work on the high net worth individual cases and deal with executive escalations for such customers. Through the investigation into the KYC documents, candidates will be expected to safeguard the customer experience by satisfying the compliance regulatory requirements. Additionally, candidates will have certain metrics to achieve as a part of business operations. Onboarding retail customers with adherence to Coinbase s AML program, BSA/AML, KYC, and EDD policies, procedures and standards appropriate for each jurisdiction in which Coinbase operates. You will serve as the subject matter expert and escalation point within the KYC EDD team and the broader AML team and manage client onboarding and remediations. To be successful in this role, you will need to have a proven track record of subject matter expertise for an onboarding KYC program, have an enthusiastic and positive attitude, have a strong knowledge of KYC best practices, and a proven ability of taking innovative approaches to solving complex regulatory challenges. If you're ready to take on a challenge that will make a difference in the world, we want you on our team. Apply now and be a part of something truly transformative! What you ll be doing (ie. job duties): Lead and execute comprehensive EDD on High-risk customers, transactions, and high-net worth individuals, ensuring thorough risk assessment. Review, analyze, and validate KYC information to ensure it aligns with internal policies, regulatory requirements, and quality standards. Identify, assess, and escalate suspicious activities with precision, providing clear and actionable recommendations. Complete review in a timely and efficient manner, ensuring application of risk based approach helping mitigating any AML risk and at the same time ensuring a good customer experience Make recommendations on process improvements to increase efficiency and accuracy Provide mentorship and guidance to junior analysts, fostering a culture of excellence and continuous improvement. Collaborate with internal support teams across Data Analytics, Escalations teams, Financial Crime Compliance, and L&D to help launch or improve existing processes and workflow Utilize an in-depth understanding of metrics to drive data-driven recommendations Maintain awareness of regulatory updates and incorporate process and procedural changes in the due diligence review process Identify process gaps and work with stakeholders within CX and financial crime to improve the process. Provide regular insights, recommendations and feedback to Client Service Management Continuously add value through effective impact analysis, prioritization, root cause analysis and efficient execution of initiatives. Tackle routine problems, largely through precedent and referral to general guidelines What we look for in you (ie. job requirements): Years of experience: minimum 2 years of compliance experience (Enhanced Due Diligence [EDD]) Minimum Bachelor s degree or equivalent Knowledge of on-boarding checks, entity types and AML/KYC laws, guidelines (e.g. BSA, OFAC, FinCEN guidance), and rules for financial products & services Strong written/verbal communication, critical thinking, and problem-solving skills Experience working with Google Sheet, Google Doc, Excel, Word Flexible and adaptable to the evolving needs of a high-growth and fast paced organization environment Multi-tasking ability, team-oriented, and a self-starter Ability to work with limited direction from management when situations occur Intermediate to advanced level in PowerPoint/Google Slides and Excel/Google Sheets Ready to support in 24*7 environment Organized with a high level of attention to detail Work from the office 100%, no hybrid or work from home. Nice to haves: Knowledge of the cryptocurrency industry. Professional certifications (e.g. CRCM, CAMS, CIA, CISA, and CICA). Deep understanding of Google apps, JIRA, Salesforce Service Cloud.

IIM - Assistant Manager Experience: 0 - 1+ Year Location: Hyderabad Job Summary: The Assistant Manager- IIT will support the management team in overseeing daily operations and ensuring the efficient functioning of the department. The role requires strong leadership skills, excellent communication abilities, and the capability to manage and mentor team members. Key Responsibilities: Assist in the planning, coordination, and supervision of daily activities within the department. Manage and monitor staff performance, providing guidance and support to ensure high levels of productivity and morale. Ensure compliance with company policies and procedures, as well as industry regulations. Develop and implement strategies to improve operational efficiency and effectiveness. Handle customer inquiries and complaints, ensuring timely and satisfactory resolution. Prepare and analyze reports on departmental performance, identifying areas for improvement and implementing corrective actions. Collaborate with other departments to ensure seamless integration of operations. Assist in budget preparation and management, ensuring cost-effective use of resources. Participate in recruitment, training, and development of staff. Stay updated on industry trends and best practices to ensure the department remains competitive and innovative. Employee Benefits: 5 day working Free Lunch and Snacks Festivals, family day and team outing Health insurance Flexi working environment Company Sponsored certifications Travel opportunities Bonuses- Fixed, variable, project linked, referral etc. Disclaimer: Machint is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Machint is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.machint.com and Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Role Overview We are looking for a Technical Lead with 8 12 years of experience in Python and JavaScript development. You will architect and design new solutions, develop internal tools for data analysis and visualization, and lead data-driven projects from concept to delivery. This role involves working with cutting-edge technologies and collaborating with diverse teams to deliver impactful solutions for clients across multiple domains. Key Responsibilities Architect and design data pipelines and data flow architecture for scalable solutions. Build and integrate custom solutions that leverage models, algorithms, and point solutions to meet client needs. Lead the development of Minimum Viable Products (MVPs) and work closely with pre-sales teams to propose and implement solutions. Develop internal tools for data analysis and visualization using technologies such as Python, JavaScript, R, SQL, HTML, and CSS. Collaborate with cross-functional teams to ensure smooth project execution and high-quality deliverables. Manage data-driven projects from ideation to execution, ensuring alignment with business goals. Demonstrate solutions and product capabilities to clients, addressing their technical needs and objectives. Required Skills and Experience 8 12 years of hands-on programming experience in Python and JavaScript. Strong foundation in data pipeline design and data flow architecture. Experience with Linux, JIRA, and Apache. Proven ability to architect scalable solutions and deliver high-quality results within deadlines. Familiarity with custom delivery frameworks and building MVP solutions for pre-sales activities. Excellent verbal and written communication skills. Strong relationship-building and organizational skills with a collaborative spirit. Preferred Qualifications BTech/Master s degree or equivalent in Computer Science, IT, or related field. Experience in formulating, solutioning, and managing data-driven projects. Knowledge of integrating solutions across multiple domains and platforms. Willingness to travel to end-client sites when required. First-hand experience in working on C-suite-focused business advisory projects. An opportunity to collaborate with industry experts, data scientists, and domain champions. Be part of a dynamic, fast-changing environment with the freedom to innovate and create meaningful solutions. Work with cutting-edge technologies and make a real impact. Qualification : BTech/Masters degree or equivalent in Computer Science, IT, or related field.

AWS Cloud Admin Data Science Team We are seeking an experienced AWS Cloud Admin to join our Data Science Team. The ideal candidate will have 5 to 8 years of experience in managing AWS cloud infrastructure. The AWS Cloud Admin will be responsible for ensuring the reliability, security, and performance of our cloud environment to enable us to efficiently analyze and derive insights from large datasets. Key Responsibilities: Manage and monitor AWS services, including EC2, S3, RDS, and Redshift. Implement and maintain security best practices for AWS environments. Troubleshoot and resolve issues related to AWS infrastructure. Collaborate with data scientists and engineers to optimize AWS resources for data processing and analysis. Implement automation and scripting solutions to streamline AWS administration tasks. Stay up-to-date on AWS best practices and new features to continuously improve our cloud infrastructure. Qualifications: Experience: 4+ years of experience in cloud infrastructure management, with at least 2 years focusing on AWS services. In-depth knowledge of AWS services including EC2, S3, Lambda, RDS, SQS, SNS, IAM, CloudWatch, Redshift, and SageMaker. Strong experience in automation and configuration management tools such as Terraform, CloudFormation, or Ansible. Knowledge of cloud security best practices, including managing IAM roles and policies, encryption, and data protection in the cloud. Proficiency in Python, Bash, or other scripting languages for automation tasks. Experience with AWS CloudWatch, CloudTrail, and other monitoring tools for analyzing logs, alerts, and resource performance. Nice to Have: Experience on Azure DevOps.

Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a history of creating remarkable outcomes for our customers. We deliver exceptional experiences through cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Senior Data Scientist Generative AI Job Summary: Tezo is seeking passionate AI Engineers to harness the power of Generative AI and build cutting-edge solutions that transform enterprises. Join us in revolutionizing the business landscape by developing intelligent, generative AI models that drive real-world impact at scale. In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying Generative AI models for enterprise use cases. You ll work closely with architects, developers, and product teams to deliver state-of-the-art AI solutions. What Makes Our AI/ML Practice Unique: Purpose-Driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Core Responsibilities: Build production-grade Retrieval-Augmented Generation (RAG) solutions with advanced retrieval, re-ranking, and optimization techniques. Develop GenAI applications using LangChain, LlamaIndex, and Vector Stores, leveraging Large Language Models (LLMs). Fine-tune LLMs for specific business use cases (preferred). Design and implement end-to-end machine learning and NLP solutions, including data preprocessing, modeling, and deployment. Deploy ML solutions in production using cloud services such as Azure or AWS. Collaborate with business stakeholders to ensure alignment of AI solutions with organizational goals. Lead and mentor team members, promoting best practices in data science and AI/ML. Qualifications: Required: 4+ years of experience in developing end-to-end machine learning and NLP projects. Hands-on experience with Retrieval-Augmented Generation (RAG) and advanced RAG techniques. Proficiency in building GenAI applications using LangChain, LlamaIndex, and Vector Stores. Strong expertise in Python and SQL for data science projects. Experience deploying ML models in production environments on Azure or AWS. Strong business acumen, stakeholder management, and team-leading skills. Preferred: Experience fine-tuning Large Language Models (LLMs) for business use cases. Familiarity with cloud-native AI/ML services and scalable architecture. At Tezo, you ll be part of a dynamic, innovation-driven team committed to delivering cutting-edge AI solutions that drive real-world transformation. If you re ready to take on exciting challenges and work on impactful projects, we d love to hear from you!

Let s do this. Let s change the world. In this vital role you will be pivotal in ensuring compliance, efficiency, and innovation in the management of data validation processes in tools like Veeva Study Startup. This position combines technical expertise, validation experience, and a strong understanding of regulatory requirements. The role also leverages domain and business process expertise to drive ongoing improvements to validation and meets our regulatory and validation procedures. This role involves working closely with developers and business analysts to ensure that the technical requirements for upcoming development are thoroughly elaborated and validated. Roles & Responsibilities: Collaborate with System Architects and Product owners to manage Validation strategy and Deliverable for the GxP applications. Defining the scope, objectives, and approach of the validation process, creating detailed validation plans, and aligning them with project timelines and resources Perform Validation testing, including Installation Qualification (IQ), Operational Qualification (OQ) for new and existing SSU Systems Ensure compliance with industry standards, regulations and internal policies during all validation activities. (GxP, FDA 21 CFR Part 11) Identify, document, and track defects during the testing process. Collaborate with development teams to define validation requirements, resolve defects and validate fixes. Maintain comprehensive audit trails and validation documentation to support regulatory inspections. Configure and optimize workflows within the Veeva Vault Management (VVM) to streamline test management and approval processes. Partner with quality assurance, IT, and business teams to ensure alignment on validation objectives and testing requirements. Act as a liaison between technical teams and stakeholders to ensure system requirements are met. Provide training to end-users on Veeva VM Testing Vault functionalities and best practices. Assist in the development and continuous improvement of validation processes and procedures Stay up to date with industry trends, best practices and evolving regulatory needs We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree OR Master s degree and 4 to 6 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Bachelor s degree and 6 to 8 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 10 to 12 years of Life Science/Biotechnology/Pharmacology/Information Systems experience Preferred Qualifications: Must-Have Skills: Solid understanding of GxP regulations, specifically 21 CFR Part 11. Familiarity with GxP Validation management tools such as ALM, Veeva Vault Management etc. Experience in defining and executing validation strategies aligned with regulatory requirements Familiarity with risk-based approaches to validation Experience in creating and executing validation protocols (e.g., Installation Qualification (IQ), Operational Qualification (OQ)) Excellent documentation and report writing skills Good-to-Have Skills: Proficiency in automation tools, data systems, and validation software. Experience of DevOps, Continuous Integration and Continuous Delivery methodology Experience as a business analyst, with command of business analysis techniques & tools, as well as SDLC & iterative systems development methodologies Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) Veeva VM certification (preferred) Soft Skills: Able to work under minimal supervision Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Shift Information: This position operates on the second shift, from 2:00 PM to 10:00 PM IST. Candidates must be willing and able to work during these hours. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.

Scope: This role is responsible for client projects that involve route designing and the synthesis of molecules according to client specifications. The position will be carried out independently or through supervision of a team of chemists. Key Responsibilities: Reaction Setup & Execution: Set up and execute reactions for the synthesis of target molecules, ensuring proper reagents and equipment are used, maintaining specified conditions (e.g., temperature, pressure). Project Understanding & Deliverables: Understand the project requirements and deliverables as specified by the manager and client. Literature & Protocol Research: Understand reaction protocols and research literature as required for efficient synthesis. Team Management & Delegation: Efficiently delegate tasks and monitor team members for effective planning, execution, and delivery. Safety Compliance: Discuss and review MSDS (Material Safety Data Sheet) with the team to identify and mitigate potential safety risks with supervisor assistance. Analytical Monitoring: Monitor reactions and use analytical techniques to observe progress. Identify appropriate workup and purification methods to ensure desired compound quality. Reporting & Documentation: Analyze and interpret analytical data, and report synthesis results accurately. Prepare weekly, monthly, and final reports as required by the client. Project Management Support: Support project managers by helping finalize project estimations, identifying relevant literature, and proposing appropriate synthetic routes/reaction designs. Safety & Equipment Maintenance: Enforce good laboratory practices and ensure the maintenance of equipment, adhering to safety and quality systems. Team Development: Guide and mentor junior team members in organic chemistry techniques, analytical methods, and project execution. Regularly review performance and train team members. Functional/Technical Skills: Chemistry Knowledge: Expertise in organic chemistry (particularly synthesis) and analytical techniques. Safety Protocols: Strong understanding of safety standards in the laboratory environment. Data Integrity & Confidentiality: Knowledge of IP protection, data integrity, and confidentiality policies. Cost-Benefit Analysis: Ability to conduct cost-benefit analyses for resource optimization. Required Qualifications: Educational Requirements: MSc in Organic/Medicinal Chemistry with 1 5 years of relevant experience OR Ph.D. or Postdoctoral Fellowship in Organic/Medicinal Chemistry with 1 3 years of relevant experience. Additional Preferences: Candidates with research publications in leading journals will be given preference.

Company Overview: Microsoft s mission is to empower every person and every organization on the planet to achieve more. The Microsoft Security Response Center (MSRC) team is at the forefront of this mission, ensuring the security of Microsoft's products, including the Azure platform. The team operates in an agile, start-up-like environment where innovation, collaboration, and fast-paced execution drive success. We are seeking a skilled Data Scientist to join our dynamic and growing team. This is a unique opportunity to work alongside engineers, data scientists, and security experts to build foundational services that will shape the future of security response. Role Overview: As a Data Scientist at MSRC, you will leverage your expertise in Large Language Models (LLMs), Machine Learning (ML), and Natural Language Processing (NLP) to design and build systems capable of reasoning over vast amounts of data. You will collaborate closely with engineering teams to develop fine-tuned LLM models, evaluate model outputs, and work on solutions that align with the product's needs. This role requires you to think creatively and work across teams to drive innovative solutions while maintaining productive working relationships with stakeholders. Key Responsibilities: Develop ML Systems: Design, build, and deploy systems that enable LLMs to reason over large data sets, leveraging lighter models where applicable. Collaborate with Engineering Teams: Work closely with engineers and partner teams to deliver solutions, including fine-tuning LLM models and evaluating model outputs for product requirements. Applied Science & Experimentation: Conduct experiments in applied science, develop metrics, build ML pipelines, and implement algorithms for LLM, NLP, and Information Retrieval. Data Management & Integrity: Prepare and manage data, ensure data cleanliness, and communicate project updates to senior leadership. Contribute to data ethics and privacy policies. Build Conversational Models: Develop and deploy conversational models for natural language understanding at scale. Responsible AI & Privacy: Advocate for and follow best practices in Responsible AI and Privacy Preserving Machine Learning. Stakeholder Collaboration: Collaborate with security, engineering, and product teams to align models with business goals, gather feedback, and drive effective execution of strategies. Thought Leadership: Provide feedback to engineering teams, identify business opportunities, and contribute to industry best practices. Required Qualifications: Bachelor's Degree in Computer Science or a related technical field AND 4+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python, OR Master's Degree in Computer Science or a related field AND 3+ years of technical engineering experience, OR Equivalent experience in the field. 3+ years of hands-on experience in Machine Learning. Proficiency in using ML tools such as Pytorch and TensorFlow. Experience in prompt engineering, fine-tuning, and using OpenAI or Azure Open AI APIs. Strong system development skills with experience in developing both rapid prototypes and complex, architected systems. Preferred Qualifications: Experience developing and deploying conversational models at scale. Familiarity with Responsible AI practices and Privacy Preserving Machine Learning. Ability to collaborate with cross-functional teams and work in a fast-paced environment.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field