Data Scientists jobs

Working at Atlassian At Atlassian, we give our employees the flexibility to choose their work environment whether it s in the office, working from home, or a combination of both. This flexibility allows Atlassians to balance their personal goals, family commitments, and other priorities. As a distributed-first company, we can hire people globally in any country where we have a legal entity. Interviews and onboarding are conducted virtually, ensuring a seamless process no matter where you are. Important: This role requires working during EMEA timezone hours to ensure effective collaboration across teams. About the Team: AI, Systems, and Technology (AIST) The AIST team at Atlassian focuses on driving transformative changes through Machine Learning (ML) and Artificial Intelligence (AI) solutions, particularly within our Customer Support Services (CSS) organization. Our goal is to enhance the efficiency and effectiveness of CSS through cutting-edge AI/ML innovations while emphasizing AI responsibility and Human-in-the-Loop methodologies. The team is a mix of Machine Learning Engineers, Data Scientists, Systems Engineers, and Software Engineers, offering a collaborative environment for knowledge sharing and professional growth. We work closely with various teams across the company, providing ample opportunities to contribute to high-impact projects. About the Role: Machine Learning Data Scientist As a Machine Learning Data Scientist at Atlassian, you will be responsible for developing and implementing machine learning algorithms, training sophisticated models, and collaborating with both technical and non-technical partners. Your work will directly contribute to expanding our AI/ML functionality in partnership with the CSS and Sales organizations. We are looking for a talented individual who is both data-driven and capable of aligning machine learning solutions with business objectives. What You ll Do: Develop and implement machine learning models, especially focusing on NLP (Natural Language Processing) and LLMs (Large Language Models) to solve business challenges. Lead end-to-end delivery of ML projects: from design and development to deployment and monitoring. Collaborate closely with cross-functional teams (including engineers, data scientists, and business stakeholders) to ensure the successful implementation of AI/ML solutions. Communicate complex data science concepts to a broad audience, creating a compelling narrative around the impact of ML on business goals. Guide and mentor peers, contributing to knowledge sharing and best practices within the team. What We Expect on Your First Day: 5+ years of experience in Data Science or related fields, with a solid background in Machine Learning. Expertise in applying a broad variety of ML methods, including NLP and LLMs, to solve complex business problems with large datasets. Proven experience in delivering ML projects end-to-end, from design and development to deployment and monitoring. Strong programming skills in Python or Java, with the ability to write efficient, scalable code. Familiarity with SQL, Spark, and cloud data environments like AWS or Databricks. Agile development mindset with an appreciation for continuous iteration and improvement. Exceptional communication skills, capable of explaining complex ML concepts to a diverse audience, including non-technical stakeholders. Nice to Have (Not Required): A post-graduate degree in a quantitative discipline, with at least 5+ years of relevant experience. Experience working in the consumer or B2C space, or domain knowledge in customer support and/or sales, including an understanding of the challenges and dynamics in these areas. Comfort in solving complex problems in ambiguous spaces where the solutions may not be clear from the start. Our Perks & Benefits: At Atlassian, we provide a wide range of perks and benefits to help you thrive, both at work and outside of it: Comprehensive health coverage to support your well-being. Paid volunteer days to encourage giving back to your community. Wellness resources to prioritize your mental and physical health. And much more to ensure that you have the support you need to excel in all aspects of your life. At Atlassian, you ll be part of a forward-thinking, collaborative team where you can make a meaningful impact with your skills in AI and machine learning. If you're passionate about solving real-world problems and driving transformation with data, we want to hear from you! Qualification : A post-graduate degree in a quantitative discipline, with at least 5+ years of relevant experience.

Position Title: Senior Data Engineer, Products and Platform Data Engineering About the Team: Atlassian's Data Engineering team is a highly skilled group dedicated to building world-class data solutions and applications that power crucial business decisions throughout the organization. We manage and maintain multiple analytical data models and pipelines across Atlassian, providing a unified way of analyzing products, customers, operations, and their interconnections. We re the backbone of the data-driven culture at Atlassian, supporting teams across Finance, Growth, Product Analysis, Customer Insights, Sales, and Marketing. We are looking for a Senior Data Engineer to join our Products and Platform Data Engineering team. This role reports to the Data Engineering Manager, based in Sydney. In this role, you will help build the infrastructure that enables our data solutions to grow and scale, making sure that business stakeholders have access to accurate and actionable insights. You ll partner closely with Data Analytics, Data Scientists, and various stakeholders to deliver high-impact data solutions across Atlassian's ecosystem. What You ll Do: Collaborate with Data and Business Teams: Partner with Product Analytics, Data Scientists, and other stakeholders to understand their needs and architect/build data solutions that provide valuable insights and drive business decisions. Design and Build Data Models and Pipelines: Develop scalable data models and build data acquisition/ingestion processes that can handle large volumes of data, ensuring they meet the product and business requirements. Develop Backend Systems: Build and maintain backend data systems that help Atlassian scale its data infrastructure, enabling seamless flow and access to critical data. Lead End-to-End Data Solutions: Take full ownership of building, scaling, and improving data pipelines and processes across Atlassian. You'll handle requirements from vague concepts, iterating to refine solutions rapidly. Improve Data Quality: Drive initiatives to improve the data quality within the team by using and enhancing internal tools and frameworks that automatically detect and resolve data quality issues. Mentor and Support Team Members: Help foster a culture of learning by mentoring junior engineers and ensuring best practices are maintained across the team. What We re Looking For: BS in Computer Science or equivalent experience. 8+ years of experience as a Senior Data Engineer or in a similar role, with a deep understanding of data engineering processes and infrastructure. Strong programming skills in Python (other languages such as Java or Scala are a plus) and experience with data-centric programming. Proficiency in SQL and experience designing and optimizing relational databases for large-scale data storage and retrieval. Experience with Spark (SparkSQL) and other tools in the big data ecosystem to build scalable data pipelines (e.g., Apache Kafka, Hive, Flink, etc.). Familiarity with AWS (Amazon Web Services) or similar cloud platforms and experience with services like EMR, S3, Kinesis, and RDS. Experience with data modeling and designing efficient storage solutions for both structured and unstructured data. Hands-on experience with scheduling frameworks like Airflow or equivalent tools to orchestrate workflows. Strong experience with Agile methodologies, including TDD, CICD, and continuous iteration for improvement. Problem-solving mindset: Ability to turn vague requirements into concrete solutions and handle complex challenges with creative, scalable solutions. Nice-to-Have Skills: Experience building self-service data platforms for internal teams to access and work with data independently. Experience with real-time data processing using technologies like Apache Kafka or Flink. Familiarity with Databricks and their APIs. Knowledge of monitoring and observability tools for ensuring high data quality and reliable data systems. At Atlassian, we believe in delivering high-quality solutions through collaboration, innovation, and a focus on customer success. This is a fantastic opportunity to join a fast-growing company and help build the data systems that power key business decisions across the organization. You will have the chance to work with cutting-edge technology and shape Atlassian s data-driven culture. If you're an experienced Data Engineer with a passion for building scalable data solutions and working with teams to drive business value, we d love to hear from you! Qualification : BS in Computer Science or equivalent experience.

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.

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.

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.

Position: Senior Business Analyst Experience: 6 8 years Location: Jaipur Department: Data & AI Engineering Apply at: careers About the Role: We are looking for an experienced and driven Senior Business Analyst to join our team in Jaipur. In this role, you will bridge the gap between business stakeholders and technical teams eliciting requirements, driving product delivery, and contributing to AI-enabled transformation projects. This is a great opportunity for professionals who excel at strategic analysis, Agile delivery, and have a keen interest in AI/ML technologies. You ll collaborate closely with cross-functional teams to design and deploy robust data pipelines, support Generative AI use cases, and deliver actionable insights through dashboards and AI-driven systems. Key Responsibilities: Act as the primary liaison between business stakeholders, clients, and technical teams. Elicit, document, and manage business and functional requirements with precision. Create detailed documentation such as BRDs, user stories, use cases, process flows, and wireframes. Break down features into epics, user stories, and tasks aligned with Agile best practices. Analyze current and future state business processes to identify optimization opportunities. Support project planning, backlog grooming, risk assessment, and effort estimation. Collaborate with development, QA, and product teams to ensure on-time, high-quality delivery. Assist in UAT planning, execution, and validation of outcomes against requirements. Engage in change management, training, and stakeholder communication activities. Work with data science and AI teams to translate business needs into AI/ML use cases. Contribute to identifying opportunities for AI and automation across internal and client-facing processes. What We're Looking For: Must-Have Skills: 6 8 years of hands-on experience in business analysis, requirement gathering, and Agile delivery. Proficiency in tools like JIRA, Confluence, and Azure DevOps. Strong ability to create user stories, BRDs, process documentation, and wireframes. Deep understanding of Agile methodologies and Scrum frameworks. Experience in backlog grooming, estimation, and facilitating Agile ceremonies. Familiarity with SQL and advanced Excel for basic data analysis. Exposure to AI/ML-driven solutions or involvement in AI-related projects. Excellent stakeholder management, communication, and problem-solving skills. Ability to handle multiple priorities and adapt to fast-paced environments. Preferred Skills (Good to Have): Certifications: CSM, PSM, CBAP, CCBA, or PMI-PBA. Experience with wireframing/prototyping tools (Figma, Balsami, etc.). Familiarity with BI tools like Power BI or Tableau. Exposure to cloud platforms (AWS, Azure). Experience with API integrations, data migration, or system modernization projects. Domain knowledge in finance, healthcare, or retail industries. Experience collaborating with AI/ML or data science teams. Understanding of structured/unstructured data, AI concepts (e.g., NLP, recommender systems), and ethical AI principles. Qualifications & Mindset: Bachelor's degree in Computer Science, MCA, or a related technical/analytical field. Strong interpersonal and customer-centric communication skills. Ownership mindset with the ability to lead, mentor, and work collaboratively. Adaptable, self-motivated, and passionate about emerging technologies like AI, ML, RPA, and automation. Be part of a growing team solving complex business problems with cutting-edge tech. Collaborate with data scientists, AI engineers, and business leaders on impactful solutions. Opportunities for career growth, skill development, and involvement in next-gen AI initiatives. Apply now and help shape the future of data-driven business. Qualification : Bachelor's degree in Computer Science, MCA, or a related technical/analytical field

Associate Credit Operations Job Type: Full-Time Category: Operations Location: Bangalore About Bright Bright is a consumer fintech company dedicated to helping Americans get out of debt using advanced data science and machine learning. Our mobile app integrates all the tools needed for managing and eliminating debt covering credit score building, automated debt paydown plans, financial and budget planning, and loan refinancing across credit cards, student loans, and car loans. With 300,000+ users, 6x growth in the last year, and over 100,000 ratings and reviews, Bright is one of the fastest-growing fintech platforms in the U.S. Supported by top venture capital firms like Sequoia, Falcon Edge, and Hummingbird, Bright has raised over $40 million in funding, including a recent $50M debt financing from Encina Lender Finance. Bright is ranked among the top 8 U.S. fintech companies and is poised to become a top-100 financial institution by leveraging data science and predictive modeling. We are proud to be building the first large-scale consumer tech company from India for global markets. About Our Founders Bright was founded in 2019 by industry veterans from McKinsey s Banking Practice and data scientists from InMobi: Petko Plachkov, Avi Patchava, Varun Modi, Avinash Ramakath, and Jayashree Merwade. Role Overview As an Associate Credit Operations professional, you will play a crucial role in assessing creditworthiness, supporting loan underwriting and approval, and ensuring smooth credit operations. You will work closely with cross-functional teams to monitor credit metrics, facilitate collections, and drive improvements in operational efficiency. Key Responsibilities Conduct thorough creditworthiness assessments following company policies and guidelines. Review customer profiles and credit applications against underwriting standards. Manage loan approval processes and support decision-making with sound judgment. Utilize collection systems to assist in managing delinquent accounts and dues recovery. Monitor and report on credit-related performance metrics regularly. Handle customer conflicts and disputes with a strong customer-centric approach. Investigate customer requests by gathering relevant data and exploring all information sources. Identify opportunities for process improvements to increase efficiency and effectiveness. Collaborate with teams to ensure compliance with credit policies and regulatory requirements. 1-2 years of experience in credit assessment, underwriting, or a related role. Strong understanding of credit product workflows and end-to-end process flows. Familiarity with credit risk assessment principles and banking domain knowledge. Knowledge of the U.S. credit environment and regulatory framework is a plus. Excellent verbal and written communication skills. High analytical and investigative capabilities. Ability to manage credit-related metrics and performance indicators. Strong negotiation, interpersonal skills, and ability to handle conflicts diplomatically. Join a fast-growing fintech startup backed by leading investors. Gain exposure to credit operations and risk management in a global context. Work alongside experienced professionals passionate about transforming consumer finance. Opportunity to grow within a dynamic, collaborative environment.

Private Markets Data Extraction, Aladdin Data Director Location: Bengaluru, Karnataka Team: Data Science Company: BlackRock About the Role We are seeking a tech-savvy leader to head our Private Markets Data Extraction team within the Aladdin Data group. This role involves driving the strategic direction of data initiatives by leveraging cutting-edge technologies like Large Language Models, AI Orchestration Frameworks (e.g., LangChain), Spring, GIT/ADO, Solr, Cassandra, and more. You will work closely with Data, Product, and Technology teams to ensure our data products exceed client expectations in quality and scope, while gaining deep exposure to finance domains such as risk management, valuations, and operations. What You ll Do Develop strategies for automated extraction of data from semi-structured and unstructured sources (e.g., regulatory documents) to build scalable, reusable pipelines. Architect and build extensible data ingestion and extraction platforms accessible to internal teams and customers. Own technical architecture, design principles, and application governance. Manage diverse, global teams of engineers, data scientists, and other tech professionals. Collaborate with cross-office and international teams. Provide expert technical guidance on software design and implementation. Mentor and support career growth for junior team members. What You Need B.S. / M.S. in Computer Science, Engineering, or related field. 12+ years of professional experience with proven leadership. Strong ability to communicate technical strategies clearly. Hands-on experience with Java and Python, object-oriented programming. Experience designing/building APIs and microservices. Expertise with open-source technologies: Spring/SpringBoot, Apache Solr, Protocol Buffers, LangChain, Docker. Experience with relational and NoSQL databases (e.g., Apache Cassandra). Agile team experience with strong problem-solving and rapid learning capabilities. Excellent interpersonal, communication, and presentation skills. Experience mentoring junior engineers. Good to Have Cloud-native development experience (Kubernetes, Docker) and Microsoft Azure. Familiarity with Apache Kafka or other pub-sub frameworks. Experience with Large Language Models (OpenAI LLMs), AI app frameworks, vector databases, NLP. Finance and financial services domain expertise. Benefits & Work Model Comprehensive benefits including retirement plans, tuition reimbursement, healthcare, family support, and Flexible Time Off (FTO). Hybrid work: typically 4 days in-office, 1 day remote with some flexibility depending on business needs. Collaborative culture fostering learning and innovation. About BlackRock BlackRock s mission is to help more people experience financial well-being globally. We invest in our employees to create a welcoming, valued, and supportive environment that encourages growth and impact. Qualification : B.S. / M.S. in Computer Science, Engineering, or related field.

Data Scientist - I | Meesho Careers Location: Bangalore, Karnataka | Department: Tech Join Meesho as a Data Scientist and Shape the Future of E-commerce At Meesho, our Data Scientists work on high-impact projects such as fraud detection, inventory optimization, and platform vernacularization, building intelligent systems that enhance the experience of millions of users across thousands of product categories. What You ll Do Design and develop advanced data models and run experiments to derive insights from complex datasets Enhance product usability and identify new growth opportunities through data Analyze reseller behavior to recommend relevant products and increase engagement Design and optimize discount programs to boost reseller sales Identify end-customer preferences to help resellers improve revenue Use analytics to identify supply chain bottlenecks and help suppliers meet SLA requirements Forecast seasonal demand and contribute to strategic planning by modeling key metrics Mentor junior data scientists and help foster a collaborative learning environment Bachelor's or Master s degree in Computer Science, Data Science, or related fields 1 2 years of professional experience as a Data Scientist in a fast-paced, preferably B2C environment Hands-on experience with machine learning, neural networks, and related techniques Proficiency in tools like SQL, Python, R Strong statistical foundation, with expertise in hypothesis testing and model validation Proven ability to conduct and analyze A/B testing Experience working closely with product and tech teams Bonus Points If You Have: Experience in personalization or similar ML problem spaces Familiarity with Big Data technologies such as Apache Spark, Hadoop, or Redshift About Meesho Meesho is India's top-rated e-commerce platform on Glassdoor, known for empowering millions of entrepreneurs across the country. We provide sellers with zero-commission benefits and the lowest shipping costs, serving every serviceable pincode in India. With over 1.75 million registered sellers, Meesho is helping small businesses grow using a unique business model and world-class tech infrastructure. From first-time internet users to seasoned entrepreneurs, our inclusive platform caters to a diverse customer base across India. Our Mission Democratizing Internet Commerce for Everyone Meesho (short for Meri Shop) is dedicated to enabling 100 million small businesses to succeed online, offering them an affordable, reliable, and easy-to-use platform that mirrors local market preferences. Our Culture and Total Rewards We cultivate a performance-driven, people-first culture that values learning, creativity, and excellence. Our "Mantras" guide our daily decisions, from hiring to growth discussions. Meesho Total Rewards includes: Market-leading compensation, including equity-based benefits Holistic wellness through our MeeCare Program: medical insurance, telehealth, wellness events, gym discounts, and more Work-life balance support: generous leave policies, parental benefits, and retirement plans Learning & development assistance and career mobility programs Fun workplace culture with events, personalized gifts, and team engagement activities Join Meesho to work on meaningful data problems, impact millions, and grow your career with a supportive and innovative team. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, or related fields

Data Scientist II Join the Meesho Tech Team Location: Bangalore, Karnataka | Department: Technology Empower the Future of E-Commerce with Meesho We are looking for an experienced Data Scientist II to join our Avengers-like Data Science team at Meesho. As part of our mission to revolutionize e-commerce in India, we solve complex problems related to fraud detection, inventory optimization, and localized platform experiences that impact millions of users daily. As a mid-level Data Scientist, you ll partner with stakeholders across teams to create data-driven strategies, improve platform performance, and lead initiatives that enable better business outcomes for resellers and end users across Bharat. What You ll Do Design and build predictive models and machine learning solutions using large-scale data Conduct experiments and extract insights from high-volume structured and unstructured data Enhance product usability and surface new growth opportunities through advanced analytics Analyze reseller behavior to deliver personalized product recommendations Design effective discount programs to increase reseller sales performance Identify customer preferences to help resellers better serve their buyers and drive revenue Uncover supply chain inefficiencies and support SLA adherence through data insights Forecast seasonal and regional demand to optimize key business metrics Mentor junior data scientists and contribute to team knowledge-sharing What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 2 4 years of experience in a Data Scientist role, ideally within a fast-moving B2C tech environment Strong knowledge of Machine Learning algorithms, Neural Networks, and data modeling techniques Hands-on experience with SQL, Python, and R for data manipulation and analysis Strong understanding of statistics, linear algebra, and A/B testing methodologies Demonstrated ability to turn business problems into data science solutions Experience working with product and engineering teams to deliver scalable systems Preferred Qualifications Prior experience solving personalization or recommendation engine problems Familiarity with Big Data technologies like Apache Spark, Hadoop, or Amazon Redshift About Meesho Meesho is India's top-rated e-commerce workplace, revolutionizing online commerce for the next billion users. We empower over 1.75 million sellers through an inclusive, technology-driven platform that offers zero-commission selling, the lowest logistics costs, and access to a massive customer base across every serviceable pincode in India. Our Mission Democratizing Internet Commerce for Everyone Meesho (Meri Shop) aims to help 100 million small businesses succeed online. With relatable merchandise and localized user experiences, we re building a truly inclusive digital shopping ecosystem for underserved markets in India. Our Culture and Benefits Meesho fosters a high-performance and people-first culture. Our workplace philosophy is shaped by 11 guiding principles ("Mantras") and practices like Reflections, Listen or Die, and a robust Internal Mobility Program. Our Total Rewards Include: Competitive compensation packages including performance-based equity Comprehensive wellness through our MeeCare Program covering medical, mental, and financial well-being Flexible leave policies and parental support benefits to ensure work-life balance Relocation support, salary advances, and learning & development assistance Fun, collaborative culture with team engagement events, gifts, and recognition programs We are not just building a company; we re creating a movement. If you re driven by data and inspired to make a difference, come be a part of Meesho s journey to redefine e-commerce in India. Apply today and let's build the future of commerce, together. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field

Principal Data Scientist / Data Science Manager Ads Team Location: Bangalore, Karnataka | Department: Tech Shape the Future of AdTech at Meesho Join Meesho s high-impact Data Science team often compared to the Avengers for our ability to solve some of the toughest data problems in India s e-commerce landscape. We build intelligent, scalable systems that serve millions of users across diverse product categories. Our work in fraud detection, inventory optimization, and platform vernacularization continues to unlock new possibilities in digital commerce. Now, as part of our Ads team, we re seeking a visionary Principal Data Scientist / Data Science Manager to elevate our advertising technology through cutting-edge machine learning solutions. About the Role As a leader within our AdTech division, you ll design, implement, and scale innovative ML solutions for real-time bidding, ad ranking optimization, budget pacing, and performance measurement. Your work will drive business impact and help define the future of our monetization strategy. Key Responsibilities Design and develop advanced bidding and budget pacing algorithms to optimize ad spend and ROI Create experimental frameworks to measure ad effectiveness and attribution Collaborate cross-functionally to transform business needs into efficient AI/ML-based solutions Define and communicate the long-term data science roadmap with business and tech leadership Mentor junior data scientists and guide team-level strategy Lead research initiatives in ML, auction theory, and AdTech domains Required Qualifications B.Tech in Computer Science, Machine Learning, or related field with 6+ years of hands-on experience Strong expertise in auction theory, predictive modeling, causal inference, and reinforcement learning Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Experience with big data tools and environments Proven ability to mentor teams and manage complex analytical projects Excellent written and verbal communication skills Preferred Qualifications M.Tech or Ph.D. in Computer Science or related discipline with ML specialization 3+ years of experience working in AdTech, real-time bidding systems, or programmatic advertising Track record of taking ML research to production Publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI) About Meesho Meesho is India s top-rated e-commerce workplace and the first Indian horizontal e-commerce platform. We empower over 1.75 million sellers and serve customers across every serviceable pincode in India. Our platform enables small businesses and entrepreneurs to thrive online by offering zero commission, lowest shipping cost, and state-of-the-art logistics support. We combine local relevance with a strong technology backbone to deliver a uniquely inclusive shopping experience. Our Mission Democratizing Internet Commerce for Everyone We aim to enable 100 million small businesses to sell online. Our seller-first approach, innovation-first culture, and focus on the underserved population of Bharat drive everything we do. Our Culture & Benefits At Meesho, we ve built a people-first, high-performance culture backed by 11 guiding principles (our "Mantras"). Our employees benefit from a workplace that encourages reflection, continuous growth, and mobility. What We Offer: Competitive compensation including equity options and performance bonuses Comprehensive wellness support via our MeeCare Program medical, mental, and financial wellbeing Flexible benefits, including generous leave policies, parental support, and L&D assistance Support with relocation, telehealth, fitness, and recreational discounts Frequent engagement activities, performance recognition, and a fun, inclusive environment If you are ready to lead transformative projects in advertising and machine learning at scale, apply today and help us redefine commerce in India. Apply now and join Meesho s Data Science revolution. Qualification : B.Tech in Computer Science, Machine Learning, or related field with 6+ years of hands-on experience

About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Account Management provide a secure and scalable platform that makes ad buying easier for businesses of all sizes. We take a strong Customer First mindset and have a responsibility to help advertisers achieve their business goals. Be a part of a team of analysts passionate about learning and using cutting edge data science and analytics techniques to shape our next generation Ads Account Management efforts. This role will manage a team of Data Scientists based out of Bengaluru. In this role, you will be responsible for managing a team and delivering insights, building and measuring key metrics, creating and maintaining reporting to assess our account management efforts. Responsibilities Work closely with the Account Management leadership team, UX, Marketing, and Support to develop a deep understanding of the needs of our advertisers, developers, and other partners. Set the direction, strategy, manage priorities and backlog of analytics projects, and coach a team of data scientists that support our account management efforts. Perform deep technical analyses with unstructured data (e.g., logs) to assess the success of our mobile efforts and new agency/large company account management products. Investigate fundamental business and product strategy questions. Deliver deep insights on specific topics and areas to provoke new feature/product ideas, or new interventions to drive improved advertiser experiences. Drive strategic analysis and reporting for business health metrics, focusing on retention, cost savings, and performance. Minimum qualifications: Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 7 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R. 7 years of experience developing and managing metrics or evaluating programs/products. 5 years of experience as a people manager within a technical leadership role. Preferred qualifications: Experience managing a team of Data Scientists. Experience working with large and multiple datasets/data warehouses, and ability to pull from such data sets using relevant tools and coding. Strong business acumen and experience with utilizing unstructured data to answer open-ended business questions. Ability to start and direct work in an unstructured environment and comfortable dealing with ambiguity. Expertise in experimental design (e.g., A/B, multivariate, Bayesian methods) and incrementality analysis. Qualification : Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.

Job Title: AI Engineer Job Type: Full Time Job Description: We are seeking an AI Engineer to join our team, responsible for building intelligent systems that leverage deep learning, NLP, and AI-driven automation. The ideal candidate will have experience in developing AI-powered applications and optimizing machine learning models for real-time processing. Key Responsibilities: Develop and deploy AI-powered applications using machine learning models. Implement and fine-tune deep learning models for applications in NLP, computer vision (CV), and recommendation systems. Optimize AI pipelines to ensure efficient and scalable real-time processing. Collaborate closely with software engineers and data scientists for seamless end-to-end integration of AI solutions into production environments. Continuously evaluate and improve the performance and accuracy of AI models. Stay up-to-date with the latest advancements in AI technologies and implement them in practical applications. Preferred Qualifications: Strong background in Python, and hands-on experience with frameworks such as TensorFlow, PyTorch, or Hugging Face. Experience in deploying AI models using tools like Docker, Kubernetes, or cloud platforms (e.g., AWS, Azure). Deep understanding of ethical AI and responsible AI practices to ensure fairness, transparency, and accountability in AI systems. Ability to work in a collaborative, fast-paced environment to deliver high-quality solutions. Desired Skills: Experience with reinforcement learning or generative models. Familiarity with building and maintaining AI pipelines and working with large datasets. Knowledge of AI interpretability and model explainability techniques.

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).

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

Overview The Web Experiences Team (WebXT) at Microsoft is accelerating innovation to enable engaging web experience products for every person. Our team uses latest NLP deep learnt models to prepare Grounding data for our Copilot efforts. Doing this at web-scale impacts billions of queries per day and millions of users. If you are excited and passionate about running end to end experiments, creating substantial impact, you will find home in our team. We are looking for a Data & Applied Scientist IIwho is excited to work on ML/DL models capable to work at internet scale. An ideal candidate will have good Machine/Deep Learning knowledge with hands on experience in solving complex real-world ML/DL problems. In addition, the candidate will have knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions. We hire people excited to solve the hard problems, eager to work in a larger team of data scientists and engineers and ready to make an impact on how the web works. As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office. We would like you to get a peek into our culture on Instagram (@lifeatstci) and below is more about this job and what we are looking for. Happy applying! Visit us at https://aka.ms/STCI Microsoft s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Additional or Preferred Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electricalor Computer Engineering, or related field 3+years of professional experience applying Deep learning, Machine Learning concepts in real world applications. Research and/or development experience with machine learning, NLP and data mining. Experience in architecting, developing, and delivering advanced NLP projects. Responsibilities Your responsibilities include: Developing novel machine learning and data mining algorithms. Designing and developing solutions that respond in real time. Build data quality checks and re-usable modules for the training. Host ML models with production-ready code. Designing and executing offline/online experiments. Advancing the state of the art of NLP technologies for real world scenarios. Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages. Qualification : Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)

Job title: Data Scientist Location : IN / Hyderabad About the job An exciting opportunity to join our risk-based monitoring team. Risk-based monitoring (RBM) is an adaptive approach to clinical trial monitoring that directs focus and activities to critical data and processes that have the most potential to impact patient safety and data quality. In this context, the RBM team is responsible for designing, executing, and optimizing the Sanofi RBM approach to align with regulatory requirements and Sanofi's objective to drive quality, efficiency, and speed of clinical trials. The D ata Scientist (DS) is responsible for setting up and refreshing the RBM application for assigned studies, ensuring a seamless data flow, and configuring the system to meet RBM specifications and industry standards. You will work closely with Central Monitors and study Lead DS together to delivery RBM activities. If you are passionate about leveraging data to drive excellence in clinical trials, this is the opportunity for you. Main responsibilities: Data Extraction and Processing:Extract data from various systems and ensure it is preprocessed correctly, supporting the accuracy and reliability of our monitoring processes.. Dashboard Management:You will be in charge of setting up and updating KRI, DQA, QTL, and SPOT dashboards with precision and within the set timelines, adhering to established processes and standards. Script Execution and Updates:Execute SAS or Python scripts, updating parameters as required to meet the specific needs of each study. Collaborative Problem Solving:Provide a clear explanation of results and signals, working closely with Central Monitors and Lead Data Scientists to deliver effective RBM activities. About you Experience: Experience in a Clinical Research environment (CRO or Pharma). Experience in clinical data programming (SAS, Python, R, ) Soft and technical skills: Learns and adapts quickly when facing new problems. Think critically and use rigorous, objective, and pragmatic methods to solve multidimensional problems with effective and timely solutions. Good at SAS programming skills, it s better be able to develop from scratch. Execute Python script with updating parameters based on studies. Understand clinical trial-related documents with basic clinical knowledge, e.g., Protocol, SDS, CRF. Good interpersonal, communication, and negotiation skills (verbal and written). Able to acquire and apply new technical skills. Education: Bachelor s degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences) Languages: Strong English skills (verbal and written), ability to exchange fluently in a global environment. Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks gender-neutral parental leave. An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team A team that drives the innovation of the monitoring activities that align with future need W e believe that a Data Scientist is not just a job title; it's a role that embodies innovation, curiosity, and the power to transform data into actionable insights. You are the architects of our data-driven future, equipped with the latest technologies and a supportive environment that fosters growth and collaboration. Qualification : Bachelors degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences)

Data Engineer Location: Noida Experience: 2 5 Years Employment Type: Full Time About Times Internet Times Internet is India s largest digital products company, building premium digital platforms across diverse sectors like News, Sports, Fintech, and Enterprise Solutions. Our brands such as TOI, ET, Cricbuzz, Times Prime, Willow TV, and Whatshot reach millions and are designed to simplify and enrich everyday experiences. We take pride in fostering an inclusive, innovative workplace. As an equal opportunity employer, we ve maintained gender pay parity (independently verified by Aon Hewitt) and are committed to building a diverse and equitable team. About the Business Unit ET B2B The Economic Times B2B Verticals (ETB2B) is a leading business media platform, delivering insightful content, newsletters, and premium conferences across 23+ sectors including Auto, Energy, Pharma, Retail, and HR. With a monthly reach of over 8 million professionals, ETB2B powers business decision-making and industry learning through platforms like ET Masterclass, vConfex, and the ET B2B Intent Signal Platform a cutting-edge initiative leveraging behavioral data, enrichment tools, and event-driven insights. Role Overview As a Data Engineer, you will work on building scalable data pipelines, deploying machine learning models, and extracting actionable buyer intent signals using a variety of data sources and advanced ML/NLP techniques. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines to process large-scale structured and unstructured data (web behavior, CRM, third-party APIs, etc.). Build predictive models to extract buyer intent signals, leveraging NLP, behavioral analytics, and pattern recognition. Use modern ML and NLP tools: spaCy, Transformers, Scikit-learn, TensorFlow, PyTorch, and OpenAI APIs. Collaborate with product managers, backend engineers, and data scientists to deploy models into production and optimize performance. Ensure data pipeline reliability, compliance (GDPR, SOC 2), and freshness through robust monitoring and alerting systems. Enhance pipeline and model inference efficiency for near real-time scoring applications. Document workflows, model performance, and pipeline architecture for internal transparency and reproducibility. Required Skills & Qualifications Strong experience in Python for data engineering, ML pipelines, and model integration. Proficiency with ETL tools (Airflow, Prefect), data processing frameworks (Pandas, Dask), and workflow orchestration. Knowledge of machine learning and NLP techniques (entity extraction, sentiment analysis, text classification). Familiarity with ML model deployment via Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML). Experience with relational databases (PostgreSQL, MySQL) and cloud data warehouses (BigQuery, Redshift, Snowflake). Strong grasp of version control (Git), CI/CD pipelines, and agile collaboration tools. Ability to interpret, visualize, and communicate model insights effectively working alongside analysts or through dashboards. Education & Experience Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related technical field. 2 5 years of hands-on experience in data engineering, applied ML, or software development, ideally in SaaS, Martech, or B2B analytics domains. Be part of India s largest digital ecosystem. Work on impactful, high-scale products with real-world value. Collaborate with top minds in data, AI, and product development. Enjoy a culture of innovation, inclusion, and continuous growth. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related technical field

Job Summary: We are seeking a skilled Data Engineer with 2-5 years of industry experience to join our dynamic team. The ideal candidate will have a strong background in data engineering and a keen interest in the drug safety or pharmacovigilance domain. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure to support our data-driven initiatives. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality and integrity through rigorous testing and validation. Optimize and tune data processing systems for performance and scalability. Implement data governance and security best practices. Work with large datasets from various sources, including clinical trials, adverse event reports, and other pharmacovigilance data. Develop and maintain documentation for data engineering processes and systems. Qualifications: Bachelor s degree in computer science, Engineering, or a related field. 2-5 years of experience in data engineering or a related role. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle RDBMS). Experience with big data technologies (e.g., Hadoop, Spark). Familiarity with data warehousing solutions (e.g., Redshift, Big Query). Strong programming skills in Python, Java, or Scala. Experience with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of data modeling, ETL processes, and data integration. Experience in the drug safety or pharmacovigilance domain is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Qualification : Bachelors degree in computer science, Engineering, or a related field.

AI Developer Experience: Minimum 6 months of experience required. Freshers may also apply. Qualification: Bachelor of Science, Bachelor of Engineering/Bachelor of Technology, B.C.A, Diploma, M.E./M.Tech, M.S., M.C.A Roles & Responsibilities: Develop, test, and deploy AI models and algorithms for real-world applications. Implement machine learning (ML), deep learning (DL), and natural language processing (NLP) solutions. Preprocess and analyze large datasets for training AI models. Optimize AI models for accuracy, performance, and efficiency. Integrate AI capabilities into web, mobile, and cloud applications. Research and stay updated with the latest AI trends, frameworks, and best practices. Work with computer vision, speech recognition, and recommendation systems. Collaborate with data scientists, software engineers, and business teams to develop AI solutions. Skills Required: Strong knowledge of Python, TensorFlow, PyTorch, Scikit-learn, and Keras. Experience with machine learning algorithms, neural networks, and deep learning architectures. Proficiency in NLP libraries (e.g., Transformers, NLTK, SpaCy, Hugging Face). Understanding of AI model deployment using Docker, Kubernetes, and cloud services. Hands-on experience with data preprocessing, feature engineering, and model training. Knowledge of Big Data technologies (e.g., Hadoop, Spark, Kafka) and databases (e.g., SQL, NoSQL). Be part of an innovative team driving the future of artificial intelligence across diverse applications! Qualification : Bachelor of Science, Bachelor of Engineering/Bachelor of Technology, B.C.A, Diploma, M.E./M.Tech, M.S., M.C.A