Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. We unlock value and foster innovation by harnessing world-class people and data-driven strategy. We believe that the power of people + AI can create a meaningful impact, driving innovation for our clients while fostering fulfilling work for our teams. For more information, visit www.blend360.com. Role Highlights:As a Manager - Data Science, you wont just manage, you'll lead by doing. This role demands strong hands-on expertise in Machine Learning, Generative AI, Python, and SQL, ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. You'll spearhead end-to-end AI/ML project execution, collaborate with cross-functional teams, and drive innovation within Blends 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, wed love to have you on board!What You'll Tackle Each Day:Delivery & Project Management:Develop and implement ML models, Gen AI solutions, and predictive analytics.Perform data mining, feature engineering, and statistical analysis.Own project roadmaps, quality control, and timely delivery.Collaborate with Data Engineering teams to deploy and operationalize ML models.Automate and optimize workflows for efficiency.Practice Development:Contribute to scaling Blends Data Science practice by building new capabilities.Design industry-specific AI/ML solutions and contribute to thought leadership.Evaluate emerging AI trends and tools and integrate them into our ecosystem.Lead innovation initiatives, research, and internal AI development.People & Leadership:Mentor and develop a high-performance data science team.Guide career development and set performance benchmarks.Collaborate with cross-functional teams to drive seamless execution. What You Bring to the Table:7+ years of experience in Data Science & AI, with hands-on expertise in ML, Gen AI, Python, and SQL.Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.).Experience in end-to-end ML deployment, including working with either Azure or AWS or GCP or Databricks.Proven ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce.Deep expertise in statistics, probability, stochastic processes, and causal inference.Strong communicator who can explain AI concepts to non-technical stakeholders.Experience with big data tools (Hadoop, Hive, PySpark) and ML pipelines.Bonus: Experience in Google Analytics, Adobe Analytics, or digital marketing analytics.Education:Bachelors/Masters degree in Computer Science, Statistics, Math, Operations Research, or a related field.

We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will have a strong technical background, proven leadership in technical teams, and expertise in building scalable, resilient, and secure applications. Key Responsibilities: Lead the design, development, and deployment of applications using microservice architecture. Develop and maintain FastAPI-based backend services with high performance and scalability. Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, API gateways, and error handling. Ensure code quality, security, and performance optimization. Work with containerization technologies like Docker and Kubernetes for application deployment. Collaborate with cross-functional teams to define, design, and ship new features. Establish and manage CI/CD pipelines for seamless application deployment. Implement best practices for API design, development, and security. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana). Ensure adherence to version control systems (e.g., Git) and collaborative workflows. Proven experience in leading technical teams and developing applications using microservice architecture. Strong proficiency in Python and FastAPI. Deep understanding of Pydantic for data validation in FastAPI. Experience w

We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will have a strong technical background, proven leadership in technical teams, and expertise in building scalable, resilient, and secure applications. Key Responsibilities: Lead the design, development, and deployment of applications using microservice architecture. Develop and maintain FastAPI-based backend services with high performance and scalability. Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, API gateways, and error handling. Ensure code quality, security, and performance optimization. Work with containerization technologies like Docker and Kubernetes for application deployment. Collaborate with cross-functional teams to define, design, and ship new features. Establish and manage CI/CD pipelines for seamless application deployment. Implement best practices for API design, development, and security. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana). Ensure adherence to version control systems (e.g., Git) and collaborative workflows. Proven experience in leading technical teams and developing applications using microservice architecture. Strong proficiency in Python and FastAPI. Deep understanding of Pydantic for data validation in FastAPI. Exp

We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will have a strong technical background, proven leadership in technical teams, and expertise in building scalable, resilient, and secure applications. Key Responsibilities: Lead the design, development, and deployment of applications using microservice architecture. Develop and maintain FastAPI-based backend services with high performance and scalability. Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, API gateways, and error handling. Ensure code quality, security, and performance optimization. Work with containerization technologies like Docker and Kubernetes for application deployment. Collaborate with cross-functional teams to define, design, and ship new features. Establish and manage CI/CD pipelines for seamless application deployment. Implement best practices for API design, development, and security. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana). Ensure adherence to version control systems (e.g., Git) and collaborative workflows. Proven experience in leading technical teams and developing applications using microservice architecture. Strong proficiency in Python and FastAPI. Deep understanding of Pydantic for data validation in FastAPI. Exp

What is BlendBlend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.comWhat is the Role?You will be a part of our Data Engineering team and will be focused on delivering exceptional results for our clients. A large portion of your time will be in the weeds working alongside your team architecture, designing, implementing, and optimizing data solutions. Youll work with the team to deliver, migrate and/or scale cloud data solutions; build pipelines and scalable analytic tools using leading technologies including AWS, Azure, GCP, Spark, Hadoop, etc.What you'll be doing?Develop data pipelines to move and transform data from various sources to data warehousesEnsure the quality, reliability, and scalability of the organization's data infrastructureOptimize data processing and storage for performance and cost-effectivenessCollaborate with data scientists, analysts, and other stakeholders to understand their requirements and develop solutions to meet their needsContinuously monitor and troubleshoot data pipelines to ensure their reliability and availabilityStay up to date with the latest trends and technologies in data engineering and apply them to improve our data capabilitiesWhat do we need from you?Bachelors degree in computer science, Software Engineering, or a related field6+ years of experience in data engineering or a related fieldStrong programming skills in Python or Scala or JavaExpert SQL skills and a good understanding of existing SQL warehousesFamiliarity with big data technologies like Hadoop, Spark, or HiveExperience with cloud-based data storage and processing platforms like AWS, Azure, or GCPStrong problem-solving and communication skillsWhat do you get in return?Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table.Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.Recognition & Rewards: We believe great work deserves to be recognized. 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’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.

Location : Hyderabad Role Highlights: As a Manager - Data Science , you wont just manage, youll lead by doing . This role demands strong hands-on expertise in Machine Learning, Generative AI, Python, and SQL , and any cloud environment (GCP, Azure or AWS) ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. Youll spearhead end-to-end AI/ML project execution , collaborate with cross-functional teams, and drive innovation within Blends 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, wed love to have you on board! What Youll Tackle Each Day: Delivery & Project Management: Develop and implement ML models, Gen AI solutions, and predictive analytics . Perform data mining, feature engineering, and statistical analysis . Own project roadmaps, quality control, and timely delivery . Collaborate with Data Engineering teams to deploy and operationalize ML models . Automate and optimize workflows for efficiency. Practice Development: Contribute to scaling Blends Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership. Evaluate emerging AI trends and tools and integrate them into our ecosystem. Lead innovation initiatives , research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team . Guide career development and set performance benchmarks. Collaborate with cross-functional teams to drive seamless execution. 8+ years of experience in Data Science & AI , with hands-on expertise in ML, Gen AI, Python, and SQL . Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Experience in end-to-end ML deployment , including working with either Azure or AWS or GCP or Databricks . Proven ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce . Deep expertise in statistics, probability, stochastic processes, and causal inference . Strong communicator who can explain AI concepts to non-technical stakeholders . Experience with big data tools (Hadoop, Hive, PySpark) and ML pipelines . Bonus: Experience in Google Analytics, Adobe Analytics, or digital marketing analytics . Bachelors/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field . What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks : Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats : Dive into our casual "Growth Chats" where you can learn from the best whether its over lunch or during a laid-back session with peers, its the perfect space to grow your skills. Snack Zone: Stay fueled and inspired! In our Snack Zone, youll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards : We believe great work deserves to be recognized. 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 re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications . Apply Now!

You will be a part of our Data Engineering team and will be focused on delivering exceptional results for our clients. A large portion of your time will be in the weeds working alongside your team architecture, designing, implementing, and optimizing data solutions. You ll work with the team to deliver, migrate and/or scale cloud data solutions; build pipelines and scalable analytic tools using leading technologies including AWS, Azure, GCP, Spark, Hadoop, etc. What you ll be doing Develop data pipelines to move and transform data from various sources to data warehouses Ensure the quality, reliability, and scalability of the organizations data infrastructure Optimize data processing and storage for performance and cost-effectiveness Collaborate with data scientists, analysts, and other stakeholders to understand their requirements and develop solutions to meet their needs Continuously monitor and troubleshoot data pipelines to ensure their reliability and availability Stay up to date with the latest trends and technologies in data engineering and apply them to improve our data capabilities Bachelor s degree in computer science, Software Engineering, or a related field 6+ years of experience in data engineering or a related field Strong programming skills in Python or Scala or Java Expert SQL skills and a

About Blend360:Blend360 is a premier AI services provider, dedicated to solving complex business challenges through the power of Data Science, AI, and technology. We co-create impactful solutions by seamlessly integrating human expertise with artificial intelligence, fostering innovation, and unlocking value for our clients. Our mission is to fuel bold visions, and we believe that People + AI can create meaningful impact.For more information, visit www.blend360.com.Role Highlights:This is not just a leadership role it's a hands-on, execution-driven position where you will build, optimize, and deploy AI/ML models while leading a team. As a Manager Data Science, you will work at the intersection of machine learning, generative AI, and business problem-solving. Youll be responsible for developing cutting-edge solutions, guiding projects from ideation to production, and mentoring a team of data scientists to drive measurable impact.If you thrive in a fast-paced, hands-on environment where you can design, develop, and implement AI-powered solutions while leading from the front, wed love to have you on board!What Youll Tackle Each Day:Hands-on AI & ML Development:Build, train, and deploy ML models – from classical techniques (Classification, Regression, Forecasting) to advanced deep learning, LLMs, and Generative AI.Perform feature engineering, statistical analysis, and model tuning to enhance predictive capabilities.Work with big data tools (Hadoop, PySpark, Hive) to process large datasets efficiently.Develop AI-driven solutions tailored for industries like Retail, CPG, BFSI, Healthcare, and eCommerce.Optimize and automate machine learning pipelines for scalable deployment.End-to-End AI/ML Deployment:Own the full ML lifecycle, from development to deployment and monitoring.Collaborate with Data Engineering teams to build production-ready ML pipelines.Work with cloud platforms such as Azure, AWS, GCP, or Databricks for model deployment and monitoring.Design and implement A/B testing strategies to measure model impact.Project Execution & Delivery:Drive multiple AI/ML initiatives from concept to execution, ensuring quality and timely delivery.Partner with cross-functional teams (Product, Data Engineering, Business) to translate business problems into scalable AI solutions.Own project roadmaps, track milestones, and ensure stakeholder alignment.Communicate AI/ML concepts effectively to both technical and non-technical stakeholders.Leadership & Team Growth:Lead by doing – mentor and guide a high-performance team of data scientists.Set technical direction, review code, and establish best practices in AI/ML development.Foster a culture of continuous learning, innovation, and hands-on problem-solving.Provide career development guidance and help team members achieve technical excellence. What You Bring to the Table:7+ years of hands-on experience in Data Science & AI, with strong expertise in ML, Generative AI, Python, and SQL.Deep understanding of ML algorithms, including NLP, LLMs, forecasting, and optimization techniques.Proven track record of building and deploying machine learning models in production environments.Expertise in at least one cloud platform: AWS, Azure, GCP, or Databricks.Strong grasp of statistics, probability, and causal inference.Ability to break down complex AI concepts for business stakeholders.Experience with big data tools (Hadoop, Hive, PySpark) and ML workflow automation.Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics.

We are seeking a highly skilled Master Data Management (MDM) Architect with expertise in Stibo or Stibo STEP. The ideal candidate will have extensive experience in data modeling, governance, and security while being able to analyze existing systems and propose future-state architectural solutions.Key Responsibilities:Leverage expertise in Stibo or Stibo STEP for effective MDM solutions.Design and implement master data management strategies for large-scale datasets.Conduct system reviews by interviewing technical stakeholders to identify inefficiencies, pain points, and document the As-Is state.Develop a future-state architecture plan with clear comparisons between Stibo and other potential solutions.Ensure robust data governance, data security, and performance optimization in MDM solutions.Collaborate with cross-functional teams to integrate MDM solutions seamlessly into enterprise systems.Required Qualifications:Proven experience with Stibo or Stibo STEP.Strong background in master data management (MDM) and data modeling.Ability to analyze complex systems and document existing and future-state architecture.Hands-on experience in data governance, security, and performance management.Strong communication skills to work with both technical and non-technical stakeholders.Preferred Qualifications:Experience with additional MDM tools and solutions.Knowledge of cloud-based data management solutions.Previous experience working in enterprise-scale environments