86 Data Scientists Jobs

As an experienced Data Engineer with 6+ years of experience, your role will involve: - Designing and implementing modern data lakehouse architectures (Delta Lake, or equivalent) on cloud platforms like AWS, Azure, or GCP. - Defining data modeling, schema evolution, partitioning, and governance strategies for high-performance and secure data access. - Owning the technical roadmap for scalable data platform solutions, aligned with enterprise needs and future growth. - Providing architectural guidance and conducting code/design reviews across data engineering teams. - Building and maintaining reliable, high-throughput data pipelines for ingestion, transformation, and integration of structured, ...

Role Overview: You are invited to work on Agentic AI, LLM, NLP, and CV projects as a Gen AI developer or Data scientist at EXL Services. The preferred experience for this role is 3 to 10 years. Key Responsibilities: - Develop Gen AI solutions for Agentic AI projects - Utilize LLM techniques for enhancing NLP projects - Work on Computer Vision (CV) projects using advanced algorithms - Collaborate with the team to deliver high-quality results Qualifications Required: - Bachelor's degree in Computer Science or related field - Proven experience in developing AI solutions - Strong knowledge of NLP techniques - Proficiency in computer vision algorithms - Excellent problem-solving skills and teamwo...

Role Overview: As a Lead GenAI Architect at Cognizant AI Labs (CAIL), you will play a key role in designing, implementing, and delivering cutting-edge solutions in the field of Generative Artificial Intelligence (GenAI). You will be responsible for engaging with CxO-level stakeholders, providing thought leadership, collaborating with cross-functional teams, conducting feasibility assessments, driving architecture decisions, and ensuring scalability and cost-efficiency in GenAI solution design. Key Responsibilities: - Engage with CxO-level stakeholders to understand business priorities and demonstrate the strategic value of Generative AI solutions. - Share insights, trends, and best practices...

As an experienced Product Manager - UI/UX with expertise in AI-driven design principles, your role at MADTECH.AI will be highly collaborative and technical. You will lead the enhancement of the user experience for the AI-powered B2B SaaS platform by combining advanced UI/UX design knowledge with technical understanding of AI technologies. Your work will involve collaborating with cross-functional teams to drive innovation through cutting-edge design. Key Responsibilities: - AI-Enhanced Design Strategy: - Lead the integration of AI into the design process using data-driven design, AI-powered personalization, and predictive analytics for optimizing user experiences. - Collaborative Product Man...

Role Overview: You will be joining EY FABERNOVEL as a Data Product Owner Senior, specializing in data and AI projects. Your role will involve preparing, coordinating, and overseeing the implementation of projects from conception to delivery, focusing on innovative and data-driven solutions. You will play a central role in project orchestration and act as the primary point of contact between technical teams (Data engineers, Data scientists, Machine Learning Engineers, Software Engineers), business teams, and clients. Key Responsibilities: - Framing data/AI requirements: - Collecting requirements: Understanding and gathering clients" data analysis and visualization needs. - Facilitating design...

In this role, you will be responsible for building the machine learning production system (MLOps) to help companies transition to becoming AI-driven organizations. You will work with a team to deploy state-of-the-art AI solutions for clients. Your key responsibilities will include: - Collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models - Automating and streamlining model development and operations - Building and maintaining tools for deployment, monitoring, and operations - Troubleshooting and resolving issues in development, testing, and production environments - Enabling model tracking, experimentation, and automation - Deve...

As an AI/ML Engineer at our company, you will play a crucial role in transforming Data Science prototypes into production-ready applications, building scalable MLOps pipelines, and maintaining deployed models. Your strong background in software engineering, cloud infrastructure, and practical experience with the full ML lifecycle will be essential for success in this role. Key Responsibilities: - Refactor and optimise Data Science prototypes for performance and efficiency. - Containerise models using Docker and deploy them onto a scalable infrastructure, such as Kubernetes. - Design and build low-latency APIs to serve model predictions in real-time. - Implement CI/CD/CT pipelines to automate...

As an MLOps Engineer at Fractal Analytics, you will play a crucial role in building the machine learning production system and deploying state-of-the-art AI solutions for clients. You will collaborate with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your responsibilities will include: - Enabling model tracking, model experimentation, and model automation - Developing scalable ML pipelines - Building MLOps components in the machine learning development lifecycle using Model Repository such as MLFlow or Kubeflow Model Registry - Working across all phases of model development to build MLOps components - Developing the knowledge base requi...

Role Overview: At PwC, as a Senior Associate in the Data, Analytics & Specialist Managed Service tower, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Your responsibilities at this management level include, but are not limited to: Key Responsibilities: - Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. - Be flexible to work in stretch opportunities/assignments. - Demonstrate critical thinking and the ability to bring order to unstructured problems. - Review ticket quality and deliverables, provide status reporting for the project. - Adhere to SLAs, with experienc...

As the Head of Data Engineering & AI, you will play a crucial role in shaping the organization's data strategy, overseeing data lake architecture, and leading data & AI projects. Your responsibilities will include building and managing scalable data platforms, ensuring data quality, availability, and security, and enabling advanced analytics, AI/ML, and business intelligence across the enterprise. Additionally, you will be accountable for compliance and governance related to data and AI, collaborating closely with business leaders, data scientists, product teams, and others to derive business value from data. Key Responsibilities: - Define and own the vision, strategy, and roadmap for the en...

Role Overview: As an AI Engineer, you will be responsible for developing machine learning models and AI solutions. You will test, deploy, and maintain AI systems while collaborating with data scientists and other engineers to integrate AI into broader system architectures. It is essential to stay current with AI trends and suggest improvements to existing systems and workflows. Key Responsibilities: - Develop machine learning models and AI solutions - Test, deploy, and maintain AI systems - Collaborate with data scientists and other engineers to integrate AI into broader system architectures - Stay current with AI trends and suggest improvements to existing systems and workflows Qualificatio...

You will be responsible for working as a Business/Data Analyst in the IT department. Your role will involve various tasks related to techno-functional areas and data management. - Senior level (No of positions - 01): - Require 10-15 years of work experience in techno-functional areas - Middle-Junior level (No of positions - 03): - Need 1-10 years of work experience in techno-functional areas - Fresh candidates with an interest in techno-functional roles can also be considered - Experience/exposure of software development life cycle from a techno-functional standpoint - Setting up/maintaining data procedures and policies - Collaborating with teams/departments to collect, prepare, organize, pr...

As a Vice President in the Wealth Management Technology team at Morgan Stanley, your primary role will involve technical and functional analysis of platforms/applications. You will be responsible for documenting the current state and to-be state scenarios. **Key Responsibilities:** - Experience in working with Agile, SAFe agile, and scrum teams - Good understanding of N-Tier architecture, APIs, and Batches - Knowledge of BFSI domain, Wealth Management business, AI, Virtual Assistants, and Chatbots - Hands-on experience in machine learning concepts and model evaluation metrics - Strong understanding of statistical analysis and predictive modeling - Project management skills with the ability t...

As a Manager, AI Engineering at our company, you will lead a team of Applied AI Engineers to design and deliver product enhancements for AI products. You will collaborate closely with Data Scientists, Python Engineers, and Product Management to ensure the successful delivery of product features. Your responsibilities will include staying updated on the latest AI/ML research and technologies to evaluate their applicability to business problems, as well as overseeing the end-to-end lifecycle of AI features, from ideation to deployment and monitoring. **Key Responsibilities:** - Understand complex business problems and implement secure, scalable, and robust product features for AI products. - T...

Design, develop,& implement machine learning models & deep learning models Explore & analyze large, complex datasets to identify trends & patterns & developing & deploying machine learning models Proficiency in programming languages like Python or R Required Candidate profile Master's or PhD degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. Exp. with statistical analysis & data mining Exp with SQL and relational databases

As a Data Architect at Searce, you will play a crucial role in collaborating with business leads, analysts, data scientists, and engineers to develop data products that drive better decision-making. Your responsibilities will include: - Proposing architectural solutions for migrating and enhancing data from on-premise to the cloud. - Strategizing the migration of client data using GCP or AWS effectively. - Providing advisory and thought leadership on analytics environments utilizing Cloud-based platforms and big data technologies. - Designing and implementing scalable data architectures leveraging technologies like Big Query, Hadoop, NoSQL, etc. - Creating data access patterns for various wo...

Role Overview: As a Senior Vice President in the Digital Delivery Practice Lead role, you will lead a talented team of AI engineers and data scientists to design, develop, and deploy cutting-edge AI solutions. Your responsibilities include driving the entire lifecycle of AI application development, overseeing project delivery, collaborating with cross-functional groups, and setting up best practices in software engineering. Key Responsibilities: - Oversee the end-to-end lifecycle of AI application development, ensuring solutions align with business goals and high-quality standards. - Manage the delivery of AI projects, implementing agile methodologies and DevOps practices for efficient proje...

As a Mid-Level Python and AI Engineer at Amplework Software, your role involves assisting in building and training machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You will be experimenting with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Working with both structured and unstructured data, you will collaborate with data scientists and software engineers to continuously learn, experiment, and optimize models to enhance performance and efficiency. Key Responsibilities: - Assist in building and training machine learning models using TensorFlow, PyTorch, and Scikit-Learn. - Experiment with pre-trained AI models for NLP, Compute...

As a Senior ML Engineer, you will be responsible for designing, developing, and deploying machine learning models and algorithms. Your role will involve collaborating with data scientists and software engineers to integrate ML solutions into products. It will be crucial for you to stay current with advancements in AI/ML technologies, optimize and scale ML models for performance and efficiency, provide technical guidance and mentorship to junior ML engineers, and ensure the robustness and reliability of ML systems. Key Responsibilities: - Design, develop, and deploy machine learning models and algorithms. - Collaborate with data scientists and software engineers to integrate ML solutions into...

As an MLOps Engineer at Fractal Analytics, you will be tasked with collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your responsibilities will include: - Enabling model tracking, model experimentation, and model automation - Developing scalable ML pipelines - Building MLOps components in the machine learning development lifecycle using Model Repository such as MLFlow or Kubeflow Model Registry - Utilizing Machine Learning Services like Kubeflow, DataRobot, HopsWorks, Dataiku, or any relevant ML E2E PaaS/SaaS - Working across all phases of the model development lifecycle to construct MLOPS components - Establishing the kno...

As an AI Lead or Architect at V Ascendus International Tech Park in Hi-Tech City, Hyderabad, your main responsibility is to oversee the development, implementation, and growth of the organization's Artificial Intelligence (AI) initiatives. **Key Responsibilities:** - **Solution Design and Architecture** - Develop end-to-end AI/ML solution architectures, including data ingestion, model development, and deployment. - Define and document AI architecture blueprints, best practices, and standards. - Evaluate and select appropriate AI frameworks, tools, and technologies for project requirements. - **Practice Development** - Build and manage a team of AI specialists, data scientists, machine learni...

As a Cloud Architect with over 18 years of experience, located in Chennai, you will play a crucial role in managing and leading Data & AI projects and programs. Your primary responsibilities will include: - Experience with any cloud platforms (e.g., AWS, Azure, Google Cloud) and Big Data technologies (e.g., Hadoop, Spark). - Implementation experience of various Data Management projects such as Data platform Modernization, data lake, lake house, data mesh implementation, data virtualization, migration, advanced use-cases handling, streaming, unstructured data, Gen AI integration. - Managing the full life cycle of a large Data Lake / Lake house / Data mesh implementation from Discovery; assess...

You will be responsible for building the machine learning production system (MLOps) to help large companies transition into AI-driven organizations. As an MLOps Engineer, you will collaborate with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your key responsibilities will include: - Enabling model tracking, experimentation, and automation - Developing scalable ML pipelines - Building MLOps components using Model Repository (e.g., MLFlow, Kubeflow Model Registry) and Machine Learning Services (e.g., Kubeflow, DataRobot, HopsWorks, Dataiku) - Working across all phases of the Model development life cycle to build MLOps components - Buildin...

As an Associate Product Manager for Conversational AI at IDFC First Bank, your role involves supporting in defining, building, and scaling AI-driven solutions to enhance customer engagement, automate workflows, and drive hyper-personalization across digital and assisted channels. **Key Responsibilities:** - Assist in defining the roadmap and strategy for AI-driven banking solutions. - Identify high-impact AI use cases to improve customer experience, self-service, and operational efficiency. - Work closely with AI engineers, data scientists, and UX teams to build and optimize AI-powered solutions. - Prioritize features based on business impact, user insights, and technological feasibility. - ...

As an AI Hub Leader at Linde, you will play a crucial role in supporting the continuous development, scaling, and operations maintenance of Linde's global AI and digital products. Your primary responsibility will be to advance Linde's AI strategy, driving growth, innovation, and productivity through AI technologies. You will also act as a central point for collaboration, talent development, and delivery excellence across the global ecosystem. Your key responsibilities will include: - Leading the Bengaluru AI Hub and managing a diverse team of AI and digital talents, such as data scientists, software engineers, commercial leads, and adoption leads under a matrix reporting line. - Building and...