Company Description Blend at a glance: 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. 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.com Job Description Location: Hyderabad 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, 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. 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. Qualifications 8+ years of experience in Data Science & AI, with hands-on expertise in ML, Python, and SQL. Exposure to Generative AI — Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilitiesStrong 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 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. Apply Now!

Company Description 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. 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.com Job Description As a Senior BI Developer, you’ll turn raw data into stunning visual stories that spark action and drive decisions. Collaborate with clients, create jaw-dropping dashboards, and lead end-to-end BI projects that deliver real business value. If you’re passionate about transforming insights into impact, and thrive in a fast-paced, consulting-style environment — we want you on our team! We’re looking for someone with deep expertise in BI, SQL, and a strong knack for working across teams — including Data Engineers, Business Analysts, and business stakeholders — to turn complex data into clarity. What You’ll Tackle Each Day End-to-End BI Implementation : Lead BI projects from requirement gathering to dashboard delivery, including data modelling, deployment, and user training. Power BI Development : Build dynamic, high-performance Power BI dashboards using advanced DAX, Power Query (M), RLS, drill-throughs, bookmarks, and custom visuals. SQL & Data Transformation : Write efficient SQL for data extraction, transformation, and analysis across platforms like Azure SQL, Snowflake, or Databricks. PySpark experience is added advantage. Client & Business Collaboration : Work closely with stakeholders to define KPIs, translate business needs into actionable insights, and deliver impactful analytics. Cross-Tool BI Integration : Integrate Power BI with tools like, Excel, Power Automate, and SharePoint; assist in dashboard migration and embedded analytics. Knowledge exposure to Other BI tools: Experience with other BI tools such Tableau or Qlik Sense will be added advantage. Data Engineering Collaboration : Collaborate with Data Engineers to align with data pipelines, validate source-to-report logic, and ensure data accuracy across layers Qualifications 3 to 6 Years of hands-on BI experience, with a strong focus on Power BI, SQL, and DAX, delivering impactful analytics solutions across diverse business domains. A strong understanding of data visualization best practices and BI architecture ensures that your dashboards and reports are both visually compelling and highly functional. Exited to work on Gen AI innovations /automations using Python apart from the day-to-day project workExperience in implementing BI solutions for complex business scenarios, you solve real-world challenges through data-driven insights. Standing out from the crowd with your unique expertise and problem-solving abilities, you contribute as a key team member. Known as a go-getter, you approach every project with enthusiasm and drive, ensuring high-quality and timely delivery, even in fast-paced environments. As a mentor and collaborator, you pave the way for others, contributing to a positive, innovative team dynamic. Your innovative mindset helps you find creative ways to leverage data, consistently turning insights into actionable strategies. Not just a hard worker but a fun one, you help foster an enjoyable work environment where collaboration and innovation thrive, making the journey as rewarding as the outcome. Additional Information Thrive & Grow with Us: 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 fuelled 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.

Company Description 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. 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.com Job Description We are looking for an experienced Data Scientist with a specialization in forecasting to join our data science team. The ideal candidate will have a deep understanding of statistical and machine learning techniques for time series forecasting and demand prediction. In this role, you will drive business value by developing accurate forecasting models and delivering actionable insights to optimize decision-making processes across the organization. Key Responsibilities Develop and implement advanced time series forecasting models to predict key business metrics (e.g., sales, demand, inventory, etc.). Analyze historical data to identify trends, seasonality, and other patterns that can be leveraged for accurate forecasting. Collaborate closely with client’s cross-functional teams such as Supply Chain, Finance, and Marketing to understand business needs and deliver tailored forecasting solutions. Build and optimize machine learning models for forecasting using state-of-the-art techniques (e.g., ARIMA, Prophet, LSTM, etc.). Design and run experiments to validate forecasting models and continuously improve their accuracy and reliability. Communicate complex data-driven insights and forecasting results to both technical and non-technical stakeholders. Ensure high-quality data inputs for forecasting models by working with data engineering teams to improve data collection, transformation, and integration processes. Stay current with the latest advancements in forecasting methodologies, tools, and techniques, and apply them to enhance existing models. Provide thought leadership in forecasting and predictive analytics, driving innovation within the data science team. Mentor junior team members and help establish best practices for forecasting across the organization. Qualifications Master’s or Ph.D. in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative field. 4+ years of experience in developing and deploying forecasting models in a business environment. Expertise in time series analysis and forecasting techniques, including ARIMA, SARIMA, Holt-Winters, and advanced machine learning methods like gradient boosting, neural networks (e.g., LSTM, GRU), etc. Proficiency in programming languages such as Python or R, with strong experience in data manipulation, model building, and statistical analysis. Hands-on experience with forecasting tools and libraries, such as Prophet, scikit-learn, TensorFlow, PyTorch, etc. Strong understanding of data structures, data wrangling, and working with large datasets. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and working in a distributed data environment is a plus. Excellent problem-solving skills and ability to translate complex data into actionable insights. Strong communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Experience with visualization tools like Tableau, Power BI, or similar to present forecasting outcomes. Ability to work independently and collaboratively in a fast-paced environment. Preferred Qualifications Experience with demand forecasting, sales forecasting, or supply chain optimization in industries such as retail, manufacturing, or finance. Familiarity with statistical testing and experimentation (e.g., A/B testing). Experience deploying models in production environments and collaborating with engineering teams to build scalable solutions. Previous experience in a consulting or client-facing role is a plus. Additional Information Thrive & Grow with Us: 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 fuelled 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.

Company Description 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. 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.com Job Description Blend is hiring a Senior Data Scientist (Generative AI) to spearhead the development of advanced AI-powered classification and matching systems on Databricks. You will contribute to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization. Key Responsibilities Design and implement end-to-end AI pipelines for product classification, fuzzy matching, and deduplication using LLMs, RAG, and Databricks-native workflows. Develop scalable, reproducible AI solutions within Databricks notebooks and job clusters, leveraging Delta Lake, MLflow, and Unity Catalog. Engineer Retrieval-Augmented Generation (RAG) workflows using vector search and integrate with Python-based matching logic. Build agent-based automation pipelines (rule-driven + GenAI agents) for anomaly detection, compliance validation, and harmonization logic. Implement explainability, audit trails, and governance-first AI workflows aligned with enterprise-grade MDM needs. Collaborate with data engineers, BI teams, and product owners to integrate GenAI outputs into downstream systems. Contribute to modular system design and documentation for long-term scalability and maintainability. Qualifications Bachelor’s/Master’s in Computer Science, Artificial Intelligence, or related field. 5+ years of overall Data Science experience with 2+ years in Generative AI / LLM-based applications. Deep experience with Databricks ecosystem: Delta Lake, MLflow, DBFS, Databricks Jobs & Workflows. Strong Python and PySpark skills with ability to build scalable data pipelines and AI workflows in Databricks. Experience with LLMs (e.g., OpenAI, LLaMA, Mistral) and frameworks like LangChain or LlamaIndex. Working knowledge of vector databases (e.g., FAISS, Chroma) and prompt engineering for classification/retrieval. Exposure to MDM platforms (e.g., Stibo STEP) and familiarity with data harmonization challenges. Experience with explainability frameworks (e.g., SHAP, LIME) and AI audit tooling. Preferred Skills Knowledge of agentic AI architectures and multi-agent orchestration. Familiarity with Azure Data Hub and enterprise data ingestion frameworks. Understanding of data governance, lineage, and regulatory compliance in AI systems. Additional Information Thrive & Grow with Us : 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 fuelled 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. Show more Show less

Company Description 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. 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.com Job Description As a Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 3+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience executing projects end to end. At least one data engineering project should have worked in Azure Synapse, ADF or Azure Fabric Should be experienced in handling multiple data sources Technical expertise with data models, data mining, and segmentation techniques Deep understanding, both conceptually and in practice of at least one object orientated library (Python, pySpark) Strong SQL skills and a good understanding of existing SQL warehouses and relational databases. Strong Spark, PySpark, Spark SQL skills and good understanding of distributed processing frameworks. Build large-scale batches and real-time data pipelines. Ability to work independently and mentor junior resources. Desire to lead and develop a team of Data Engineers across multiple levels Experience or knowledge in Should have experience or knowledge in Data Governance Azure Cloud experience with Data modeling, CI\CD, Agile Methodologies, Docker\Kubernetes Additional Information 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 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. Show more Show less

Job Description: We are seeking a highly skilled Lead Python Developer 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 workflo ws. Required Qualifications & Ski lls : • 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 with containerization (Docker, Kubernetes). • Familiarity with CI/CD pipelines and automation tools. • Knowledge of API design and implementation best practices. • Experience working with monitoring and logging tools (e.g., Prometheus, Grafana). • Strong understanding of security best practices in microservices-based applications. 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. Ide a Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future Growt h 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. Snac k 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 Certific a tions: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifi c ations. Show more Show less

What is Blend 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. 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.com What is the Role As a Senior Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products !You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! What you’ll be doing? Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results What do we need from you? 5+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience executing projects end to end. At least one data engineering project should have worked in Azure Synapse, ADF or Azure Fabric Should be experienced in handling multiple data sources Technical expertise with data models, data mining, and segmentation techniques Deep understanding, both conceptually and in practice of at least one object orientated library (Python, pySpark) Strong SQL skills and a good understanding of existing SQL warehouses and relational databases. Strong Spark, PySpark, Spark SQL skills and good understanding of distributed processing frameworks. Build large-scale batches and real-time data pipelines. Ability to work independently and mentor junior resources. Desire to lead and develop a team of Data Engineers across multiple levels Experience or knowledge in Data Governance Azure Cloud experience with Data modeling, CI\CD, Agile Methodologies, Docker\Kubernetes 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 fut ur e. 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 ski lls. Snack Zone : Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flow i ng. 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 prog r am. 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 certificat i ons. Show more Show less

We’re on the lookout for a Data Science Manager with deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), and Generative AI to lead a high-impact Conversational AI initiative for one of our premier EMEA-based clients. You’ll not only guide a team of data scientists and ML engineers but also work hands-on to build cutting-edge systems for real-time transcription, sentiment analysis, summarization, and intelligent decision-making . Your solutions will enable smarter engagement strategies, unlock valuable insights, and directly impact client success. What You'll Do: Strategic Leadership & Delivery: Lead the end-to-end delivery of AI solutions for transcription and conversation analytics. Collaborate with client stakeholders to understand business problems and translate them into AI strategies. Provide mentorship to team members, foster best practices, and ensure high-quality technical delivery. Conversational AI Development: Oversee development and tuning of ASR models using tools like Whisper, DeepSpeech, Kaldi, AWS/GCP STT. Guide implementation of speaker diarization for multi-speaker conversations. Ensure solutions are domain-tuned and accurate in real-world conditions. Generative AI & NLP Applications: Architect LLM-based pipelines for summarization, topic extraction, and conversation analytics. Design and implement custom RAG pipelines to enrich conversational insights using external knowledge bases. Apply prompt engineering and NER techniques for context-aware interactions. Decision Intelligence & Sentiment Analysis: Drive the development of models for sentiment detection, intent classification , and predictive recommendations . Enable intelligent workflows that suggest next-best actions and enhance customer experiences. AI at Scale: Oversee deployment pipelines using Docker, Kubernetes, FastAPI , and cloud-native tools (AWS/GCP/Azure AI). Champion cost-effective model serving using ONNX, TensorRT, or Triton. Implement and monitor MLOps workflows to support continuous learning and model evolution. What You'll Bring to the Table: Technical Excellence 8+ Years of proven experience leading teams in Speech-to-Text, NLP, LLMs, and Conversational AI domains. Strong Python skills and experience with PyTorch, TensorFlow, Hugging Face, LangChain . Deep understanding of RAG architectures , vector DBs (FAISS, Pinecone, Weaviate), and cloud deployment practices. Hands-on experience with real-time applications and inference optimization. Leadership & Communication Ability to balance strategic thinking with hands-on execution. Strong mentorship and team management skills. Exceptional communication and stakeholder engagement capabilities. A passion for transforming business needs into scalable AI systems. Bonus Points For: Experience in healthcare, pharma, or life sciences conversational use cases. Exposure to knowledge graphs, RLHF , or multimodal AI . Demonstrated impact through cross-functional leadership and client-facing solutioning. 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 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 . Show more Show less

What is Blend 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. 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.com What is the Role? We are seeking a highly skilled Lead Data Engineer to join our data engineering team for an on-premise environment. A large portion of your time will be in the weeds working alongside your team architecture, designing, implementing, and optimizing data solutions. The ideal candidate will have extensive experience in building and optimizing data pipelines, architectures, and data sets, with a strong focus on Python, SQL, Hadoop, HDFS, and Apache NiFi. What you’ll be doing? Design, develop, and maintain robust, scalable, and high-performance data pipelines and data integration solutions. Manage and optimize data storage in Hadoop Distributed File System (HDFS). Design and implement data workflows using Apache NiFi for data ingestion, transformation, and distribution. Collaborate with cross-functional teams to understand data requirements and deliver efficient solutions. Ensure data quality, governance, and security standards are met within the on-premise infrastructure. Monitor and troubleshoot data pipelines to ensure optimal performance and reliability. Automate data workflows and processes to enhance system efficiency. What do we need from you? 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 and SQL. Hands-on experience with Hadoop ecosystem (HDFS, Hive, etc.). Proficiency in Apache NiFi for data ingestion and flow orchestration. Experience in data modeling, ETL development, and data warehousing concepts. Strong problem-solving skills and ability to work independently in a fast-paced environment. Good understanding of data governance, data security, and best practices in on-premise environments. 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 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 . Show more Show less

Job Description We are looking for an experienced Data Scientist with a specialization in forecasting to join our data science team. The ideal candidate will have a deep understanding of statistical and machine learning techniques for time series forecasting and demand prediction. In this role, you will drive business value by developing accurate forecasting models and delivering actionable insights to optimize decision-making processes across the organization . Key Responsibilitie s: Develop and implement advanced time series forecasting models to predict key business metrics (e.g., sales, demand, inventory, etc .).Analyze historical data to identify trends, seasonality, and other patterns that can be leveraged for accurate forecasti ng.Collaborate closely with client’s cross-functional teams such as Supply Chain, Finance, and Marketing to understand business needs and deliver tailored forecasting solutio ns.Build and optimize machine learning models for forecasting using state-of-the-art techniques (e.g., ARIMA, Prophet, LSTM, etc .).Design and run experiments to validate forecasting models and continuously improve their accuracy and reliabili ty.Communicate complex data-driven insights and forecasting results to both technical and non-technical stakeholde rs.Ensure high-quality data inputs for forecasting models by working with data engineering teams to improve data collection, transformation, and integration process es.Stay current with the latest advancements in forecasting methodologies, tools, and techniques, and apply them to enhance existing mode ls.Provide thought leadership in forecasting and predictive analytics, driving innovation within the data science te am.Mentor junior team members and help establish best practices for forecasting across the organizati on. Qualificat ions Master’s or Ph.D. in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative f ield.4+ years of experience in developing and deploying forecasting models in a business environ ment.Expertise in time series analysis and forecasting techniques, including ARIMA, SARIMA, Holt-Winters, and advanced machine learning methods like gradient boosting, neural networks (e.g., LSTM, GRU), etc.Proficiency in programming languages such as Python or R, with strong experience in data manipulation, model building, and statistical anal ysis.Hands-on experience with forecasting tools and libraries, such as Prophet, scikit-learn, TensorFlow, PyTorch, etc.Strong understanding of data structures, data wrangling, and working with large data sets.Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and working in a distributed data environment is a plus.Excellent problem-solving skills and ability to translate complex data into actionable insi ghts.Strong communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audie nces.Experience with visualization tools like Tableau, Power BI, or similar to present forecasting outc omes.Ability to work independently and collaboratively in a fast-paced environ ment. Preferred Qualifica tions:Experience with demand forecasting, sales forecasting, or supply chain optimization in industries such as retail, manufacturing, or fi nance.Familiarity with statistical testing and experimentation (e.g., A/B tes ting).Experience deploying models in production environments and collaborating with engineering teams to build scalable solu tions.Previous experience in a consulting or client-facing role is a plus. Show more Show less

Blend is hiring a Lead Data Scientist (Generative AI) to spearhead the development of advanced AI-powered classification and matching systems on Databricks. You will contribute to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization. Key Responsibilitie s Design and implement end-to-end AI pipelines for product classification, fuzzy matching, and deduplication using LLMs, RAG, and Databricks-native workflow s.Develop scalable, reproducible AI solutions within Databricks notebooks and job clusters, leveraging Delta Lake, MLflow, and Unity Catalo g.Engineer Retrieval-Augmented Generation (RAG) workflows using vector search and integrate with Python-based matching logi c.Build agent-based automation pipelines (rule-driven + GenAI agents) for anomaly detection, compliance validation, and harmonization logi c.Implement explainability, audit trails, and governance-first AI workflows aligned with enterprise-grade MDM need s.Collaborate with data engineers, BI teams, and product owners to integrate GenAI outputs into downstream system s.Contribute to modular system design and documentation for long-term scalability and maintainabilit y. Qualificati ons Bachelor’s/Master’s in Computer Science, Artificial Intelligence, or related fi eld.7+ years of overall Data Science experience with 2+ years in Generative AI / LLM-based applicati ons.Deep experience with Databricks ecosystem: Delta Lake, MLflow, DBFS, Databricks Jobs & Workfl ows.Strong Python and PySpark skills with ability to build scalable data pipelines and AI workflows in Databri cks.Experience with LLMs (e.g., OpenAI, LLaMA, Mistral) and frameworks like LangChain or LlamaIn dex.Working knowledge of vector databases (e.g., FAISS, Chroma) and prompt engineering for classification/retrie val.Exposure to MDM platforms (e.g., Stibo STEP) and familiarity with data harmonization challen ges.Experience with explainability frameworks (e.g., SHAP, LIME) and AI audit tool ing. Preferred S kills Knowledge of agentic AI architectures and multi-agent orchestr ation.Familiarity with Azure Data Hub and enterprise data ingestion frame works.Understanding of data governance, lineage, and regulatory compliance in AI sy stems. Thrive & Grow w ith Us: Competitiv e 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 th e table.Dynamic Caree r Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.Id ea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.Growt h 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.Sn ack Zone: Stay fuelled 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 Certif ications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifi cations. Show more Show less

Company Description 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. 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.com Job Description At Blend360, we help people use data to serve the customer. The Customer Insights team works directly with some of the world’s most loved consumer brands, and as an analyst you will lead our clients and prospects as an expert in using, understanding, and acting on customer data. You’ll call on your business knowledge and deep technical expertise to unlock powerful insights from a wide range of industries. And you’ll accelerate speed to value by creating the framework to scale your most impactful analyses with our internal teams and external users. What you’ll be doing? Develop customer-centric analyses and solve challenging problems from a variety of consumer verticals. Consult with leaders from major consumer brands to identify trends, opportunities, and valuable segments that help them drive and measure incremental growth. Support GTM team’s selling motion with your deep analytics expertise, generating insights that showcase the value from Customer Data Platforms (such as Amperity, Segment, Redpoint, etc.) Build scalable methodology and tools to accelerate the analytics motion. Collaborate with different Departments for data requests & build solutions that automate daily tasks thereby saving man hours. Build data pipelines for data extraction, cleaning, transforming, feature extraction, and machine learning Build KPIs/metrics by applying data transformation techniques such as aggregation, resampling, filtering etc. Comprehension of reports, visualization of data in the form of plots, generate reports using BI tools, develop live updating dashboards. Qualifications Minimum 3 years experience in a consulting, business analytics, or data science role, preferably working with customer behaviour data for a direct-to-consumer business Demonstrated ability to independently plan and execute repeatable analyses and recommend actionable strategy for a variety of industries Strong communicator who easily bridges the gap between data and business owners Excellent SQL skills with experience using statistical computer languages (Python, R, PySpark, etc.) to manipulate data and draw insights from large datasets Experience creating executive-level dashboards using visualization tools like Tableau, PowerBI Demonstrated success working in a fast-paced, swiftly-changing startup environment BE/B.Tech/BS in Math, Economics, Statistics, or other quantitative field (advanced degrees are a plus) Show more Show less

Company Description 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. 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.com Job Description We are looking for an experienced Senior Data Engineer with a strong foundation in Python, SQL, and Spark , and hands-on expertise in AWS, Databricks . In this role, you will build and maintain scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. You’ll work closely with cross-functional teams to drive data reliability, quality, and performance. Responsibilities Design, develop, and optimize scalable data pipelines using Databricks in AWS such as Glue, S3, Lambda, EMR, Databricks notebooks, workflows and jobs. Building data lake in WS Databricks. Build and maintain robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Develop distributed data processing solutions using Apache Spark or PySpark. Partner with data scientists and analysts to provide high-quality, accessible, and well-structured data. Ensure data quality, governance, security, and compliance across pipelines and data stores. Monitor, troubleshoot, and improve the performance of data systems and pipelines. Participate in code reviews and help establish engineering best practices. Mentor junior data engineers and support their technical development. Qualifications Requirements Bachelor's or master's degree in computer science, Engineering, or a related field. 5+ years of hands-on experience in data engineering, with at least 2 years working with AWS Databricks. Strong programming skills in Python for data processing and automation. Advanced proficiency in SQL for querying and transforming large datasets. Deep experience with Apache Spark/PySpark in a distributed computing environment. Solid understanding of data modelling, warehousing, and performance optimization techniques. Proficiency with AWS services such as Glue, S3, Lambda and EMR. Experience with version control Git or Code commit Experience in any workflow orchestration like Airflow, AWS Step funtions is a plu Show more Show less

Company Description 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. 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.com. Job Description We are looking for a skilled Test Automation Engineer with experience in automated testing, rollback testing, and continuous integration environments. You will be responsible for ensuring the quality and reliability of our software products through automated testing strategies and robust test frameworks Design, develop, and maintain robust test automation frameworks using tools like Selenium, Cypress, Playwright, or similar. Implement rollback testing to ensure system stability during deployments and rollbacks. Develop automated test scripts for regression, smoke, sanity, and performance testing. Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, etc.). Collaborate with development and DevOps teams to identify areas of improvement in test coverage and release reliability. Analyze test results, identify bugs, and assist developers in debugging and resolving issues. Create and maintain test plans, test cases, and testing documentation. Ensure testing is performed across various environments including staging, production, and rollback scenarios. Qualifications Strong experience with 5+ years of test automation tools (Selenium, Cypress, Playwright, etc.). Good understanding of rollback testing and deployment validation strategies. Hands-on experience with scripting languages like Python, JavaScript, or Java. Familiarity with CI/CD tools and pipelines (e.g., Jenkins, GitLab CI, Azure DevOps). Experience in testing REST APIs using tools like Postman or REST Assured. Working knowledge of version control systems (Git, GitHub). Exposure to cloud environments (AWS, Azure, or GCP) is a plus. Strong analytical, problem-solving, and communication skills. Show more Show less

Company Description 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. 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.com Job Description We are looking for a skilled and experienced Data Engineer to join our team and contribute to enhancement work in the Advanced Master Data Management (AMDM) space. The ideal candidate will have strong hands-on experience with Databricks, SQL, and Python, and must possess practical expertise in Azure Cloud services. You will play a key role in designing, developing, and optimizing scalable data pipelines and solutions to support enterprise-wide data initiatives. Responsibilities Develop and maintain scalable ETL/data pipelines using Databricks, SQL, and Python on Azure Cloud. Design and implement data integration workflows across structured and unstructured sources within the AMDM domain. Collaborate with data architects and business teams to translate requirements into efficient data solutions. Ensure data quality, consistency, and integrity across systems. Monitor, troubleshoot, and optimize data workflows in Azure-based environments. Leverage Azure services like Azure Data Factory, Azure Data Lake, Azure Synapse, and Azure Key Vault as part of solution delivery. Qualifications 6+ years of hands-on experience in Data Engineering or ETL development. Strong proficiency in Databricks for distributed data processing and transformation. Advanced skills in SQL and Python for building and automating data workflows. Solid working experience with core Azure Data Services Experience with relational and non-relational database technologies (e.g., SQL Server, PostgreSQL, Oracle). Familiarity with Stibo or similar Master Data Management (MDM) tools. Show more Show less

What is Blend 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. 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.com. What is the Role We are seeking a highly skilled MLOps Engineer with an overall experience 5 years with 3 years as ML Engineer particularly in building and managing ML pipelines in AWS. The ideal candidate has successfully built and deployed at least two MLOps projects using Amazon SageMaker or similar services, with a strong foundation in infrastructure as code and a keen understanding of MLOps best practices. What you’ll be doing? Maintain and enhance existing ML pipelines in AWS with a focus on Infrastructure as Code using CloudFormation. Implement minimal but essential pipeline extensions to support ongoing data science workstreams. Document infrastructure usage, architecture, and design using tools like Confluence, GitHub Wikis, and system diagrams. Act as the internal infrastructure expert, collaborating with data scientists to guide and support model deployments. Research and implement optimization strategies for ML workflows and infrastructure. Work independently and collaboratively with cross-functional teams to support ML product What do we need from you? 5+ years of hands-on DevOps experience with AWS Cloud. Proven experience with at least two MLOps projects deployed using SageMaker or similar AWS services. Strong proficiency in AWS services: SageMaker, ECR, S3, Lambda, Step Functions. Expertise in Infrastructure as Code using CloudFormation for dev/test/prod environments. Solid understanding of MLOps best practices and Data Science principles. Proficient in Python for scripting and automation. Experience 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. 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 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. Show more Show less

Company Description Blend at a glance: 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. 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.com Job Description We are seeking a highly skilled Data Scientist/Analyst with expertise in Media Mix Modeling (MMM) to join our dynamic analytics team. The ideal candidate will play a critical role in providing actionable insights and optimizing marketing spend across various channels by leveraging statistical models and data-driven techniques. Key Responsibilities Develop and implement Media Mix Models to optimize marketing spend across different channels (e.g., TV, digital, radio, print, etc.). Analyze historical data to understand the impact of marketing efforts and determine the effectiveness of different media channels. Collaborate with marketing and business teams to translate business objectives into quantitative analyses and actionable insights. Build predictive models to forecast the impact of future marketing activities and recommend budget allocation. Present and communicate complex findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders. Perform deep-dive analyses of marketing campaigns and customer data to identify trends, opportunities, and areas for improvement. Ensure data integrity, accuracy, and consistency in all analyses and models. Stay up-to-date with the latest trends and advancements in media mix modeling, marketing analytics, and data science. Collaborate with cross-functional teams including Data Engineering, Marketing, and Business Intelligence to ensure seamless data flow and integration. Create and maintain documentation for all models, methodologies, and analysis processes. Qualifications Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Mathematics, or a related field. Proven experience (6+ years) working in Media Mix Modeling (MMM) and/or marketing analytics. Strong proficiency in statistical modeling techniques (e.g., regression analysis, time-series modeling) and data analysis. Hands-on experience with tools and technologies such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI). Familiarity with marketing data sources (e.g., Nielsen, IRI, social media data, CRM, etc.). Excellent problem-solving skills and a strong analytical mindset. Ability to translate complex data into actionable insights and recommendations for business stakeholders. Strong communication skills with the ability to present findings to both technical and non-technical audiences. Experience working in a fast-paced, data-driven environment. Familiarity with machine learning techniques and frameworks is a plus. Preferred Qualifications Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure, Google Cloud). Knowledge of marketing attribution models, customer segmentation, and lifetime value (LTV) analysis. Experience in running A/B tests and controlled experiments. Prior experience in a consulting or marketing agency environment is a plus. Additional Information 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 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. Show more Show less

Company Description 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. 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.com. Job Description We are looking for a skilled Test Engineer with experience in automated testing, rollback testing, and continuous integration environments. You will be responsible for ensuring the quality and reliability of our software products through automated testing strategies and robust test frameworks Design and execute end-to-end test strategies for data pipelines, ETL/ELT jobs, and database systems. Validate data quality, completeness, transformation logic, and integrity across distributed data systems (e.g., Hadoop, Spark, Hive). Develop Python-based automated test scripts to validate data flows, schema validations, and business rules. Perform complex SQL queries to verify large datasets across staging and production environments. Identify data issues and work closely with data engineers to resolve discrepancies. Contribute to test data management, environment setup, and regression testing processes. Work collaboratively with data engineers, business analysts, and QA leads to ensure accurate and timely data delivery. Participate in sprint planning, reviews, and defect triaging as part of the Agile process. Qualifications 4+ of experience in Data Testing, Big Data Testing, and/or Database Testing. Strong programming skills in Python for automation and scripting. Expertise in SQL for writing complex queries and validating large datasets. Experience with Big Data technologies such as Hadoop, Hive, Spark, HDFS, Kafka (any combination is acceptable). Hands-on experience with ETL/ELT testing and validating data transformations and pipelines. Exposure to cloud data platforms like AWS (Glue, S3, Redshift), Azure (Data Lake, Synapse), or GCP is a plus. Familiarity with test management and defect tracking tools like JIRA, TestRail, or Zephyr. Experience with CI/CD pipelines and version control (e.g., Git) is an advantage. Show more Show less

Company Description At Blend, we are award-winning experts who transform businesses by delivering valuable insights that make a difference. From crafting a data strategy that focuses resources on what will make the biggest difference to your company, to standing up infrastructure, and turning raw data into value through data science and visualization: we do it all. We believe that data that doesn't drive value is lost opportunity, and we are passionate about helping our clients drive better outcome through applied analytics. We are obsessed with delivering world class solutions to our customers through our network of industry leading partners. If this sounds like your kind of challenge, we would love to hear from you. For more information, visit www.blend360.com Job Description We are looking for someone who is ready for the next step in their career and is excited by the idea of solving problems and designing best in class. However, they also need to be aware of the practicalities of making a difference in the real world – whilst we love innovative advanced solutions, we also believe that sometimes a simple solution can have the most impact. Our AI Engineer is someone who feels the most comfortable around solving problems, answering questions and proposing solutions. We place a high value on the ability to communicate and translate complex analytical thinking into non-technical and commercially oriented concepts, and experience working on difficult projects and/or with demanding stakeholders is always appreciated. What can you expect from the role? Contribute to design, develop, deploy and maintain AI solutions Use a variety of AI Engineering tools and methods to deliver Own parts of projects end-to-end Contributing to solutions design and proposal submissions Supporting the development of the AI engineering team within Blend Maintain in-depth knowledge of the AI ecosystems and trends Mentor junior colleagues Qualifications Contribute to the design, development, testing, deployment, maintenance, and improvement of robust, scalable, and reliable software systems, adhering to best practices. Apply Python programming skills for both software development and AI/ML tasks. Utilize analytical and problem-solving skills to debug complex software, infrastructure, and AI integration issues. Proficiently use version control systems, especially Git and ML/LLMOps model versioning protocols. Assist in analysing complex or ambiguous AI problems, breaking them down into manageable tasks, and contributing to conceptual solution design within the rapidly evolving field of generative AI. Work effectively within a standard software development lifecycle (e.g., Agile, Scrum). Contribute to the design and utilization of scalable systems using cloud services (AWS, Azure, GCP), including compute, storage, and ML/AI services. (Preferred: Azure) Participate in designing and building scalable and reliable infrastructure to support AI inference workloads, including implementing APIs, microservices, and orchestration layers. Contribute to the design, building, or working with event-driven architectures and relevant technologies (e.g., Kafka, RabbitMQ, cloud event services) for asynchronous processing and system integration. Experience with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes, Airflow, Kubeflow, Databricks Jobs, etc). Assist in implementing CI/CD pipelines and optionally using IaC principles/tools for deploying and managing infrastructure and ML/LLM models. Contribute to developing and deploying LLM-powered features into production systems, translating experimental outputs into robust services with clear APIs. Demonstrate familiarity with transformer model architectures and a practical understanding of LLM specifics like context handling. Assist in designing, implementing, and optimising prompt strategies (e.g., chaining, templates, dynamic inputs); practical understanding of output post-processing. Experience integrating with third-party LLM providers, managing API usage, rate limits, token efficiency, and applying best practices for versioning, retries, and failover. Contribute to coordinating multi-step AI workflows, potentially involving multiple models or services, and optimising for latency and cost (sequential vs. parallel execution). Assist in monitoring, evaluating, and optimising AI/LLM solutions for performance (latency, throughput, reliability), accuracy, and cost in production environments. Additional Information Experience specifically with the Databricks MLOps platform. Familiarity with fine-tuning classical LLM models. Experience ensuring security and observability for AI services. Contribution to relevant open-source projects. Familiarity with building agentic GenAI modules or systems. Have hands-on experience implementing and automating MLOps/LLMOps practices, including model tracking, versioning, deployment, monitoring (latency, cost, throughput, reliability), logging, and retraining workflows. Experience working with MLOps/experiment tracking and operational tools (e.g., MLflow, Weights & Biases). Show more Show less

Company Description 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. 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.com Job Description We are seeking an experienced and dynamic Senior Talent Acquisition Specialist to lead end-to-end recruitment efforts across key technical functions, including Data Engineering, Data Science, and Business Intelligence . This pivotal role will manage the full hiring lifecycle—from creating and overseeing job requisitions and postings to partnering closely with hiring managers, building strong talent pipelines, screening candidates, and ensuring an exceptional candidate experience. The ideal candidate will bring deep expertise in the technology landscape and a proven track record in technical recruiting. This individual will thrive in a fast-paced, high-volume environment and demonstrate a passion for finding and attracting top talent. In addition to recruiting responsibilities, the Senior Talent Acquisition Specialist will play a vital role in employer branding , helping to communicate and amplify what makes our company an outstanding place to work. A strong attention to detail is essential, particularly in maintaining and optimizing the Applicant Tracking System (ATS) to ensure accurate candidate tracking and efficient reporting. Above all, we are looking for someone who is committed to delivering an exceptional candidate experience —from the first impression to the final interaction—while consistently representing and strengthening the Blend employer brand . Key Responsibilities Lead full-cycle recruitment across technology functions. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Build and execute sourcing strategies to attract passive and active candidates through job boardes, social media, employee referrals, and networking Use data and analytics to track metrics such as time-to fill, source of hire and pipeline health. Manage ATS workflows, maintain accurate records. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Qualifications Required: 5+ years of progressive experience in talent acquisition, with a minimum of 3 years specifically focused on hiring Data Engineering, Data Science, and/or Business Intelligence professionals. Demonstrated understanding of various data technologies, methodologies (e.g., Big Data, Python, R, SQL, Spark, cloud platforms like AWS/Azure/GCP, machine learning algorithms, data warehousing, ETL tools, BI platforms like Tableau/Power BI). Proven ability to develop and execute effective sourcing strategies for highly specialized technical roles. Strong analytical skills with the ability to use data to drive recruitment decisions and report on performance. Exceptional communication, interpersonal, and negotiation skills. Proficiency with Applicant Tracking Systems (ATS). Preferred: Experience recruiting in a fast-paced, high-growth technology environment. Familiarity with employer branding strategies and social media recruitment. Show more Show less