525 Generative Ai Jobs - Page 15

Understand the requirements from the Product Owners Collaborate with the team for design and development of features Ensure the deliverables from the Development is of high quality Look for process improvements and drive towards excellence Key Result Areas: Develop new features to meet the needs of Enterprise and Operations teams. Own the deliverables from a Scrum team and responsible for meeting timelines Coordinate rapid, smooth, and successfully iterative product launches in close collaboration with Product Owner, Quality Engineering and UI Teams. Qualifications B.E/B.Tech in Computer Science or similar 3 to 5 years in Application development Excellent programming skills in .Net, .Net Core, C#, Angular, ADO.Net, ASP.Net MVC and related web and Windows development technologies. Experience using Generative AI tools in software development is a plus (Amazon Q, CoPilot, etc) Strong Experience on Web Services especially REST API design Good understanding about Multithreading Data Structures and Algorithms Strong knowledge of relational and non-relational database concepts (MS SQL, MySQL, Oracle, MongoDB) Highly motivated, a Go-Getter who needs very little or no supervision Must possess excellent communication and teamwork skills Must be adaptable to agile methodology work in a fast-paced environment.

Job Overview : This is a Full-time role for a Generative AI Engineers for our client in Software Development, in Bangalore/Bengaluru, Karnataka. We are seeking a talented and experienced Generative AI Engineer to join our client team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and programming with a focus on generative models. You will be responsible for designing, developing, and implementing cutting-edge generative AI solutions to solve complex problems and enhance our clients products and services. As part of a cross-functional engineer, you'll work closely with project managers, and DevOps professionals to enhance functionality, optimize workflows, and deliver high-quality Software. Success in this role is measured through key performance indicators (KPIs) such as System Performance, Code Quality, Team Effectiveness, Project Success. Role & responsibilities Design/develop multi-agent AI systems, architect RAG system/knowledge graphs Create proper engineering frameworks Build orchestration systems Implement generative AI techniques Collaborate on custom AI solutions Maintain scalable cloud AI Infrastructure Required Skills & Qualifications : Graduate/ Masters in Computer Science/AI related streams; model skills fine-tuning experience; multimodal AI knowledge; containerization/orchestration skills 3-5 years generative AI/LLM experience; expert Python skills; experience with LLM frameworks, multi-agent systems, vector databases; cloud proficiency (AWS, GCP, Azure) Compensation and Benefits: Base Salary: Competitive salary range based on experience and performance. Bonuses & Incentives: Performance-based bonuses. Health & Wellness: Comprehensive medical insurance. Career Growth: Ongoing training programs, professional development courses, mentorship opportunities, and career advancement prospects. Immediate joiner within 15 days 30 days notice period

Experience: 35 years (DS) / 58 years (Sr DS) Positions: 3 (2 DS + 1 Sr DS) Target Profiles: 1215 Client: EY ODC Requirements: Must have experience as a Data Scientist or transitioned from Data Engineer Proficient in AWS Expertise in ML Model Design & Development Strong Feature Engineering experience Good to Have: NLP, GraphQL / Graph ML, Generative AI Education: B.Tech / M.Tech in Computer Science, IT, or ECE Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Job Title: Tech Lead (Generative AI) Experience Range: 8-12 Years Location: Noida Job Summary: We are seeking a Tech Lead (AI) to drive innovation in our AI-driven Software Development Life Cycle (SDLC) team. You will lead the development of web-based applications using.NET Core, Python, Angular, and Azure, while architecting AI solutions and accelerators. The ideal candidate will blend technical mastery with leadership to mentor teams, integrate AI into SDLC, and deliver cutting-edge solutions. Key Responsibilities: Design, develop, and maintain web-based applications using Python, .NET Core, Angular (v13 or later), and Entity Framework/EF Core. Collaborate with AI specialists to implement and optimize AI tools within the SDLC. Partner with the Architecture Practice to build AI accelerators, PoCs, and frameworks (e.g., Agentic AI, emerging technologies). Lead code reviews, enforce best practices, and troubleshoot complex technical issues. Develop and execute unit test scenarios to ensure high-quality deliverables. Contribute to technical documentation, including system design and API specifications. Engage directly with clients to gather requirements, provide updates, and address feedback. Mentor junior developers and foster a collaborative team environment. Utilize Azure DevOps for CI/CD pipelines and Agile practices for project execution. Required Skills & Qualifications: 8-12 years of experience in web-based application development. Core Development Skills: 3+ years of hands-on experience with .NET Core. 2+ years of experience with Python is mandatory. 3+ years of experience with Angular (v13 or later) and modern frontend frameworks is preferred 3+ years of expertise in Entity Framework/EF Core. 5+ years of proficiency in C# with strong OOPs concepts. 5+ years of experience in SQL Server (query optimization, stored procedures, schema design). Strong problem-solving skills and ability to debug complex systems. Excellent communication skills with experience in client-facing roles. AI/ML Integration Skills: Knowledge of AI/ML frameworks in SDLC processes (e.g., automated testing, code analysis) and Agentic Frameworks. Good understanding of Prompt Engineering Exposure to Azure AI services e.g., Azure AI Foundry, GitHub, GitHub Copilot, RAG and Agentic frameworks Knowledge of Angular is an add-on Preferred Qualifications: Familiarity with Agile/Scrum methodologies. Exposure to Azure cloud services (e.g., App Services, Azure Functions, Azure SQL). Experience with Azure DevOps for CI/CD and project management. Good understanding of Streamlit UI. Education: Bachelors degree in Computer Science, Engineering, or a relevant field.

and The ideal candidate will lead AI innovation, optimize AI models for clinical decision support, medical imaging, patient engagement, and enterprise process automation. Key Responsibilities 1. Develop and deploy AI/ML solutions with a focus on healthcare AI (clinical NLP, radiology AI, predictive analytics) and enterprise AI (automation, intelligent chatbots, document processing, and knowledge management). 2. Fine-tune and optimize LLMs (GPT-4, Med-PaLM, Gemini, LLaMA, Claude) for medical and enterprise applications. 3. Implement Retrieval-Augmented Generation (RAG) to enhance AI-driven decision-making in healthcare diagnostics, patient interaction, and enterprise knowledge management. 4. Build and integrate AI-powered chatbots, virtual health assistants, and AI co-pilots to improve patient engagement and enterprise workflows. 5. Utilize vector databases (FAISS, Pinecone, Weaviate) for AI-driven clinical data retrieval and enterprise document search. 6. Deploy AI solutions using cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI, Hugging Face Hub) and MLOps pipelines for scalability. 7. Ensure AI solutions comply with healthcare regulations (HIPAA, GDPR, FDA AI/ML regulations) and enterprise security policies. 8. Collaborate with healthcare professionals, enterprise teams, and engineers to align AI solutions with business and medical needs. 9. Stay ahead of advancements in explainable AI (XAI), AI ethics, bias mitigation, and regulatory compliance. Required Skills & Experience 1. Exp. in AI/ML development, with expertise in GenAI, LLMs, and applied AI for Healthcare & Enterprise AI. 2. Strong proficiency in Python and frameworks such as Hugging Face Transformers, LangChain, LlamaIndex, PyTorch, TensorFlow, or JAX. 3. Hands-on experience with LLM fine-tuning, prompt engineering, and model optimization for healthcare diagnostics, medical text processing, and enterprise automation. 4. Experience in healthcare NLP (de-identification, medical summarization, clinical decision support) and enterprise AI (workflow automation, document intelligence, AI-powered search & knowledge retrieval). 5. Proficiency in MLOps, cloud AI services (AWS, GCP, Azure), and deploying AI models at scale. 6. Understanding of multi-modal AI (text, vision, audio) for medical imaging, voice AI for telemedicine, and AI-powered enterprise solutions. 7. Ability to lead AI teams, manage AI projects, and drive AI innovation for business impact. Nice to Have Experience with biomedical AI (e.g., Med-PaLM, BioGPT), federated learning for healthcare data privacy, and AI for clinical trials. Knowledge of AI compliance frameworks (FDAs Good Machine Learning Practice, AI risk management for enterprises). Familiarity with AutoML and low-code AI for rapid prototyping in enterprise AI. Contributions to open-source healthcare AI projects or AI research publications. Company overview: smartData is a leader in global software business space when it comes to business consulting and technology integrations making business easier, accessible, secure and meaningful for its target segment of startups to small & medium enterprises. As your technology partner, we provide both domain and technology consulting and our inhouse products and our unique productized service approach hehelplps us to act as business integrators saving substantial time to market for our esteemed customers. With 8000+ projects, vast experience of 20+ years, backed by offices in the US, Australia, and India, providing next door assistance and round-the-clock connectivity, we ensure continual business growth for all our customers. Our business consulting and integrator services via software solutions focus on important industries of healthcare, B2B, B2C, & B2B2C platforms, online delivery services, video platform services, and IT services. Strong expertise in Microsoft, LAMP stack, MEAN/MERN stack with mobility first approach via native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, PhoneGap) mobility stack mixed with AI & ML help us to deliver on the ongoing needs of customers continuously. For more information, visit https://www.smartdatainc.com Please share your updated CV on deepti.vyas@smartdatainc.net or call on 9664338930

The Main Responsibilities Development of Gen AI applications and conduct reviews. Write clean and maintainable code, improve the system architecture Participate in meetings and conferences to gather requirements, discuss architectural decisions, and collaborate on innovative solutions. Develop frameworks, libraries, and tools to expedite GenAI application development. Explore new technologies in the Gen AI space like MCP and agent protocols, and drive adoption of these advancements to enhance our AI capabilities. Required Qualifications: Bachelors degree in computer science or related field or the equivalent in training and experience 7+ years of professional experience inJava/Pythondevelopment Well-versedwith developmentusingframeworks like Spring / Spring Boot / FastAPI / Django. Well-versedwithREST APIdevelopmentandsecuritystandards (OAuth2.0,OIDCetc), Experienceusingany SQL database (Oracle/PostgreSQL, etc.)andanyNoSQLdatabases–MongoDB/Couchbase. Experience onGenAIDevelopmentusingPython, Langchain,VectorDatastores(Azure, Pinceone etc.), Large language models like Llama, Open AI etc. Well-versed with prompt engineering techniques and using frameworks like Semantic Kernel, LangGraph etc. Experienceusingacontainerecosystem–Kubernetes,Docker. Experience working on developing and deploying applications on any cloud platform (AWS / GCP / Azure) ExperienceusingCI/CDpipelinesforapplicationdevelopment. We are an equal opportunity employer committed to fair and ethical hiring practices. We do not charge any fees or accept any form of payment from candidates at any stage of the recruitment process. If anyone claims to offer employment opportunities in our company in exchange for money or any other benefit, please treat it as fraudulent and report it immediately.

Roles and Responsibilities : Lead a team of data scientists to design, develop, and deploy machine learning models using Python and natural language processing techniques. Collaborate with cross-functional teams to identify business problems that can be solved through data analysis and modeling. Develop and maintain complex algorithms for text classification, sentiment analysis, and topic modeling. Ensure high-quality deliverables by reviewing code reviews, providing feedback on technical designs, and mentoring junior team members. Job Requirements : 7-13 years of experience in machine learning or related field (data science). Strong proficiency in Python programming language with expertise in libraries such as scikit-learn, TensorFlow, or PyTorch. Experience with natural language processing techniques including text preprocessing, feature extraction, and model evaluation metrics.

Experience: 3--5 years (DS) / 5--8 years (Sr DS) Positions: 3 (2 DS + 1 Sr DS) Target Profiles: 12--15 Requirements: Must have experience as a Data Scientist or transitioned from Data Engineer Proficient in AWS Expertise in ML Model Design & Development Strong Feature Engineering experience Good to Have: NLP, GraphQL / Graph ML, Generative AI, D365 CRM Integrations Specialist Azure Logic Apps, Power Automate, and Azure Service Bus. Education: B.Tech / M.Tech in Computer Science, IT, or ECE Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote

Hiring Immediate AI Engineers !!!!! Job Description : 8+ years of experience in a software engineering role, with Gen AI / LLM / Open AI side Proven track record of AI/LLM application development or integration Strong experience in Python-based AI application development with API engineering Proficiency in AWS LAMDA Exposure in Server less Architecture & API Gateways

Introduction IBM is a global technology and innovation company. It is the largest technology and consulting employer in the world, with presence in 170 countries. The diversity and breadth of the entire IBM portfolio of research, consulting, solutions, services, systems and software, uniquely distinguishes IBM from other companies in the industry.Over the past 100 years, a lot has changed at IBM, in this new era of Cognitive Business, IBM is helping to reshape industries as diverse as healthcare, retail, banking, travel, manufacturing, and many more, by bringing together our expertise in Cloud, Analytics, Security, Mobile, and the Internet of Things. We like to say, be essential. We are changing how we create. How we collaborate. How we analyze. How we engage. IBM is a leader in this global transformation. Join the next generation of innovators, inventors and entrepreneurs who are changing the very way the world works. We want the brightest minds doing work that inspires, in an environment where growth is encouraged. IBMers get to discover their potential, so theyre inspired to create breakthroughs that help our clients succeed. Were building diverse teams with people who want their ideas to matter. Join us - youll be proud to call yourself an IBMer. Your role and responsibilities Back end development with GoLang Expertise in Kubernetes/OpenShift, Cloud service providers. Knowledge of Generative AI, and ability to integrate AI to applications. Ability to pick up new areas based on business requirements Excellent communication skills Required education Bachelors Degree Required technical and professional expertise 6+ years of overall experience in backend development. Excellent understanding of system design and best practices. 6+ years of application development with GoLang development. Good level of expertise in Kubernetes or OpenShift, use of Docker/Podman and Cloud service providers. Good level of knowledge of CNI, container native storage. Expertise in Version Control - Git Experience using cloud technologies (AWS/GCP/Azure/IBM Cloud) Experience with Ansible and Shell scripting Proficient in Linux administration. Experience of IaC (Terraform) Expertise in Version Control - Git Design functional DevOps application lifecycle. Good understanding of CICD pipelines such as Jenkins. Should have hands-on in writing and debugging Jenkinsfile Experience using build tools such as Maven, Gradle, Make, Ant Knowledge of AI - Pytorch, TensorFlow, Scikit, Generative AI, and ability to integrate AI functionalities to applications.

Role: Senior Software Engineer (Python) - GenAI About Eucloid: Eucloid Data Solutions is a fast-growing AI-consulting firm that enables business growth for its clients through advanced Data Analytics, Machine Learning and Data engineering. Eucloid offers bespoke, full- stack and data- driven approach to solving highly complex and large-scale business problems for some of the biggest Fortune-500 organizations. Eucloid has presence across multiple continents & countries, most notably in US, India, Sweden & Indonesia. Eucloid has deep partnerships with leading Data & Cloud vendors in the industry. These range from Marketing Cloud solutions (Adobe, Twilio, Google), Customer Data Platforms (Segment, TreasureData, Adobe), Cloud Vendors (Amazon, Microsoft, Google), Machine Learning (H2O.ai, Tensorflow) and Data Products (Snowflake, Databricks, Confluent). Eucloid is also an early adopter and a strong believer in Opensource platforms like DBT, Airflow & Superset. We take immense pride in our team. We are comprised of high-performing, ambitious, diverse and highly accomplished individuals with educational backgrounds from Top-tier institutes such as IITs/NITs/BITS/DTU/IIMs, World-class Consulting, Analytics, Product & Tech orgs such as Walmart/American Express Accenture/Sapient/EXL/Noon/Citibank/Samsung. About Co-founders Raghvendra Kushwah Raghvendra is a veteran in Business consulting with 19+ years of experience in firms like Accenture Strategy and Cognizant Business Consulting. In his last role at Accenture, he led an independent business for Accenture in India and managed a large team for analytics consultants. He is B.Tech. (IIT Delhi), MBA (IIM Lucknow) and LLB (Faculty of Law, Delhi University). Anuj Gupta Anuj has led large, diverse Products & Engineering teams with leading tech companies like Adobe and Amazon for 20+ years. In his last role at Amazon, he led a team of 50+ Engineers & 10+ Product Managers for Amazon APAC geos. He is B.Tech. (IIT Delhi) and MBA (ISB Hyderabad). About the Role: We are looking for a high-energy tech-savvy individual for the role of Senior Software Engineer- GenAI at Eucloid. The candidate will solve complex problems, picking up new technologies and working at the cutting edge of innovation. The candidate is expected to lead following work-streams: Develop and optimize Python applications for AI-driven products Build and integrate LLM-based applications with structured and unstructured data Work with large datasets, AI pipelines, and model inference APIs Collaborate with AI researchers and engineers to translate ideas into production-ready solutions Stay ahead of emerging AI technologies and contribute to continuous innovation Ideal candidate will have following Background and Skills: Undergraduate Degree in any quantitative discipline such as engineering, science or economics from a Top-Tier institution. 5+ years of experience in Python-based product development Strong foundation in data structures, algorithms, and system design Proven problem-solving ability you love tackling complex technical challenges Hands-on experience with APIs, backend development, and cloud platforms (AWS/GCP/Azure) Experience in AI, ML, or NLP is a bonus, but a strong aptitude to learn AI frameworks quickly is what matters most Exposure to LangChain, OpenAI APIs, or vector databases (advantageous, but not mandatory) The role offers a very attractive compensation (Base + Bonus) and is based out of Chennai. Interested candidates can share their resume at chandershekhar.verma@eucloid.com

We are seeking a highly skilled and innovative Data Engineer to join our dynamic team. This role is ideal for professionals passionate about building scalable data pipelines and enabling machine learning and analytics at scale. Youll play a key role in designing and implementing systems that support real-time and batch data processing for advanced AI-driven use cases, including Retrieval-Augmented Generation (RAG). Key Responsibilities: Develop, maintain, and scale data pipelines using Airflow (preferably Metaflow ) and other orchestration tools. Design microservices-based data solutions to support AI/ML initiatives. Work with vector databases to optimize data retrieval for RAG and generative AI models. Collaborate with data scientists, ML engineers, and software engineers to integrate data engineering solutions into broader systems. Ensure data quality, reliability, and governance across all data pipelines and storage layers. Required Skills: Proficiency in Python for data processing, scripting, and service development. Experience with Airflow (Metaflow preferred) or other workflow orchestration tools. Strong knowledge of Microservices architecture and REST APIs. Familiarity with RAG (Retrieval-Augmented Generation) frameworks and concepts. Experience with Vector databases (e.g., Pinecone, FAISS, Weaviate, Qdrant). Solid understanding of data modeling, ETL/ELT processes, and cloud data platforms.

Impact: This position offers the opportunity to lead a team of highly motivated individuals and contribute to achieving the teams goals. You will lead efforts to improve data accuracy, completeness, and timeliness through collaboration, innovation, and the execution of ad-hoc projects, with a focus on acquiring and collecting public and private data. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitiveenvironment. Responsibilities: Formulate and implement data-driven strategies that balance technical and product knowledge, collaborating with multiple teams to create best-in-class solutions. Oversee and implement data quality projects that align with evolving business priorities, ensuring high standards of data integrity. Identify opportunities for new datasets within the market landscape and support the development of strategies to incorporate them into existing frameworks. Demonstrate empathy and support team members, especially during challenging times, promoting a culture of well-being and collaboration. Encourage team motivation, facilitate career progression discussions, and execute succession planning to nurture talent within the team. Enhance the technical skills of the team, preparing them for future growth and evolving industry demands. Establish SMART objectives for team members, actively manage performance, and communicate the Pay for Performance culture and its linkage to rewards. Track and communicate team performance metrics, including time utilization and quality statistics, while setting challenging benchmarks for resource efficiency. Mentor the team on industry trends and large-scale data projects, providing guidance on business initiatives. Manage short-term and long-term projects from resource planning to execution, collaborating closely with the Data Management team to ensure alignment and effectiveness. Drive constructive conversations with the leadership team and stakeholders across various locations, ensuring alignment on goals and expectations. Advocate for a culture of innovation by understanding processes and workflows, generating ideas to eliminate content gaps and establish best practices. Foster a lean mindset to improve operational efficiency. Ensure all critical timelines and requirements for business-as-usual workflows, KPIs, and projects are met, demonstrating problem-solving capabilities at all levels. As a people leader, embody and promote the organizations values, culture, and strategic objectives, setting an example for the team. What we are looking for: Prior leadership experience in data services, with a strong focus on people management. Knowledge or experience in the industry is preferred. In-depth understanding of the mechanics of the capital markets domain, with the ability to quantify trends impacting the industry and provide insightful analysis. Proven operational management skills with a keen attention to detail, gained within a respected data company, ensuring effective oversight of data quality and performance. Experience in introducing and monitoring Key Performance Indicators (KPIs) and performance metrics, facilitating continuous improvement and accountability within the team. Capacity to give and receive constructive feedback, providing coaching to team members to foster their professional growth and development. Exceptional oral and written communication skills, enabling clear articulation of complex data insights and fostering effective stakeholder engagement. Willingness to work across various shifts, including night shifts on a rotational or as-needed basis, demonstrating adaptability to meet business needs. Maintains high ethical standards both personally and professionally, ensuring transparency and integrity within the team. Strong collaboration skills with the ability to work effectively within cross-functional teams and build relationships with various stakeholders. Comfort with change management processes, adapting to evolving business needs and driving innovation within the team. Familiarity with additional analytical tools or programming languages that enhance data analysis capabilities. Experience in managing projects from inception to completion, including the ability to prioritize tasks and manage resources effectively. Understanding of cultural differences and the ability to navigate them effectively in a global work environment. Commitment to continuous learning and professional development in data analysis and emerging technologies. A results-oriented approach, focusing on achieving goals and delivering measurable outcomes. Preferred Qualifications: A minimum of 8 years of experience working closely with senior leaders and decision-makers, demonstrating the ability to influence and drive strategic initiatives. Proven experience in establishing and nurturing trust with business heads, fostering long-lasting business relationships that benefit both the organization and stakeholders. Comfort with a high degree of autonomy, effectively managing priorities from multiple internal and external stakeholders to achieve organizational goals. Basic knowledge of SQL and Generative AI is desirable, providing a foundation for data analysis and innovative solutions. Familiarity with data visualization tools, enabling effective communication of insights through visual storytelling. Possession of a Green Belt Certification and exposure to Lean concepts, indicating a commitment to process improvement and operational efficiency.

Impact: This position offers the opportunity to lead a team of highly motivated individuals and contribute to achieving the teams goals. You will lead efforts to improve data accuracy, completeness, and timeliness through collaboration, innovation, and the execution of ad-hoc projects, with a focus on acquiring and collecting public and private data. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitiveenvironment. Responsibilities: Formulate and implement data-driven strategies that balance technical and product knowledge, collaborating with multiple teams to create best-in-class solutions. Oversee and implement data quality projects that align with evolving business priorities, ensuring high standards of data integrity. Identify opportunities for new datasets within the market landscape and support the development of strategies to incorporate them into existing frameworks. Demonstrate empathy and support team members, especially during challenging times, promoting a culture of well-being and collaboration. Encourage team motivation, facilitate career progression discussions, and execute succession planning to nurture talent within the team. Enhance the technical skills of the team, preparing them for future growth and evolving industry demands. Establish SMART objectives for team members, actively manage performance, and communicate the Pay for Performance culture and its linkage to rewards. Track and communicate team performance metrics, including time utilization and quality statistics, while setting challenging benchmarks for resource efficiency. Mentor the team on industry trends and large-scale data projects, providing guidance on business initiatives. Manage short-term and long-term projects from resource planning to execution, collaborating closely with the Data Management team to ensure alignment and effectiveness. Drive constructive conversations with the leadership team and stakeholders across various locations, ensuring alignment on goals and expectations. Advocate for a culture of innovation by understanding processes and workflows, generating ideas to eliminate content gaps and establish best practices. Foster a lean mindset to improve operational efficiency. Ensure all critical timelines and requirements for business-as-usual workflows, KPIs, and projects are met, demonstrating problem-solving capabilities at all levels. As a people leader, embody and promote the organizations values, culture, and strategic objectives, setting an example for the team. What we are looking for: Prior leadership experience in data services, with a strong focus on people management. Knowledge or experience in the industry is preferred. In-depth understanding of the mechanics of the capital markets domain, with the ability to quantify trends impacting the industry and provide insightful analysis. Proven operational management skills with a keen attention to detail, gained within a respected data company, ensuring effective oversight of data quality and performance. Experience in introducing and monitoring Key Performance Indicators (KPIs) and performance metrics, facilitating continuous improvement and accountability within the team. Capacity to give and receive constructive feedback, providing coaching to team members to foster their professional growth and development. Exceptional oral and written communication skills, enabling clear articulation of complex data insights and fostering effective stakeholder engagement. Willingness to work across various shifts, including night shifts on a rotational or as-needed basis, demonstrating adaptability to meet business needs. Maintains high ethical standards both personally and professionally, ensuring transparency and integrity within the team. Strong collaboration skills with the ability to work effectively within cross-functional teams and build relationships with various stakeholders. Comfort with change management processes, adapting to evolving business needs and driving innovation within the team. Familiarity with additional analytical tools or programming languages that enhance data analysis capabilities. Experience in managing projects from inception to completion, including the ability to prioritize tasks and manage resources effectively. Understanding of cultural differences and the ability to navigate them effectively in a global work environment. Commitment to continuous learning and professional development in data analysis and emerging technologies. A results-oriented approach, focusing on achieving goals and delivering measurable outcomes. Preferred Qualifications: A minimum of 8 years of experience working closely with senior leaders and decision-makers, demonstrating the ability to influence and drive strategic initiatives. Proven experience in establishing and nurturing trust with business heads, fostering long-lasting business relationships that benefit both the organization and stakeholders. Comfort with a high degree of autonomy, effectively managing priorities from multiple internal and external stakeholders to achieve organizational goals. Basic knowledge of SQL and Generative AI is desirable, providing a foundation for data analysis and innovative solutions. Familiarity with data visualization tools, enabling effective communication of insights through visual storytelling. Possession of a Green Belt Certification and exposure to Lean concepts, indicating a commitment to process improvement and operational efficiency.

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models. Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes. Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities. Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth. Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring. Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives. Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or related field. Advanced degree (Master's or Ph.D.) preferred. Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP. Proven track record of leading and delivering multiple AI projects from conception to completion. Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP. Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models. Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Location - Noida,Mumbai,Hyderabad,Kochi.

Hands-on experience in IOT product and tools, Gen AI, SQL and basics of PLC programming with troubleshooting. Strong analytical and problem solving skills. Exposure in MySQL, Python and PLC logic understanding. Previous experience in debugging and understanding of PLC systems, and industrial protocols such as (OPC,MQTT,TCP) Integrating and utilizing existing GenAI models and services Understanding and Evaluating GenAI Models and APIs Integrating GenAI Services (e.g., GPT-3, Claude, Anthropic, Google AI, etc.) Prompt Engineering for GenAI Models Software Development Life Cycle (SDLC) methodologies (Agile, Scrum)

Role Responsibilities: Build and maintain Generative AI models using AWS and Azure AI services Design and deploy data pipelines for ML workflows Ensure secure and context-aware AI implementations Provide production support and optimize deployed models Job Requirements: Minimum 1 year of hands-on Generative AI project experience Strong understanding of AWS (Sagemaker, Lambda, API Gateway, S3) Familiarity with Azure AI services and Azure OpenAI Experience in production-grade ML/AI model support

Role Responsibilities: Build and maintain Generative AI models using AWS and Azure AI services Design and deploy data pipelines for ML workflows Ensure secure and context-aware AI implementations Provide production support and optimize deployed models Job Requirements: Minimum 1 year of hands-on Generative AI project experience Strong understanding of AWS (Sagemaker, Lambda, API Gateway, S3) Familiarity with Azure AI services and Azure OpenAI Experience in production-grade ML/AI model support

Role & responsibilities Hands-on programming and capabilities in Python, Java, R, or SCALA Experience in Enterprise applications development (Java, . Net) Experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc. ) Strong hands-on experience with statistical packages and ML libraries (e. g. R, Python scikit learn, Spark MLlib, etc. ) Experience in effective data exploration and visualization (e. g. Excel, Power BI, Tableau, Qlik, etc. ) Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc. ) Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra, Hbase, Hive, HDFS Experience with open source software. Additional Requirements Defining, designing and delivering ML patterns operable in native and hybrid cloud architectures. Research, analyze, recommend and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio Basic knowledge in LLM butAI, NLP and deep learning should be strong Good with Associate architect or solution architect but no for Technical Lead. Hands on experience on Docker. Building docker images with a model and all its dependent packages into the image. Excellent problem-solving skills and ability to break down complexity. Ability to see multiple solutions to problems and choose the right one for the situation. Excellent written and oral communication skills. Demonstrated technical expertise around architecting solutions aroundAI, ML, deep learning and related technologies. DevelopingAI/ML models in real-world environments and integratingAI/ML using Cloud native or hybrid technologies into large-scale enterprise applications. In-depth experience inAI/ML and Data analytics services offered on Amazon Web Services and/or Microsoft Azure cloud solution and their interdependencies. Specializes in at least one of theAI/ML stack (Frameworks and tools like MxNET and Tensorflow, ML platform such as Amazon SageMaker for data scientists, API-drivenAIServices like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call). Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches and Model monitoring and tuning.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with teams, make key decisions, and provide solutions to problems. Your typical day will involve designing and developing applications, analyzing user requirements, and ensuring the functionality and performance of the applications. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Design and develop applications based on business process and requirements. Analyze user requirements and translate them into application features. Ensure the functionality and performance of applications. Collaborate with cross-functional teams to gather and understand requirements. Manage and prioritize application development tasks. Perform code reviews and provide feedback to team members. Troubleshoot and debug application issues. Ensure the security and integrity of applications. Stay updated with the latest industry trends and technologies. Contribute to the continuous improvement of application development processes. Provide technical guidance and mentorship to junior team members. Professional & Technical Skills: Must To Have Skills: Proficiency in Machine Learning. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning. This position is based at our Bengaluru office. A 15 years full time education is required.

Lead Software Engineer GenAI Development and Exploration Location: India Experience: 510 Years Primary Skillset: Generative AI Services, Machine Learning, Python, Cloud, MLOps, Prompt Engineering About the Role: We are seeking a visionary and hands-on Lead Software Engineer to drive Generative AI development and exploration initiatives within our technology innovation team. This role is ideal for someone passionate about applying GenAI to real-world enterprise challenges and who enjoys building proof-of-concepts, production-ready solutions, and scalable AI platforms. Key Responsibilities: Lead the design and development of Generative AI applications, including LLM-based solutions, document intelligence, summarization, chatbot development, and intelligent automation. Evaluate and integrate GenAI services and APIs (e.g., Vertex AI, OpenAI, Anthropic, HuggingFace, etc.) into existing or new platforms. Build scalable backend services and data pipelines to support AI/ML workloads. Explore and validate use cases across multiple business functions for GenAI application and automation opportunities. Mentor junior engineers on GenAI design patterns, best practices, and engineering discipline. Partner with data scientists, product teams, and business stakeholders to define requirements, build MVPs, and iterate toward enterprise-scale solutions. Champion MLOps practices for GenAI model deployment, monitoring, and lifecycle management. Contribute to technical research, architecture recommendations, and the long-term GenAI roadmap. Qualifications: Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. 8+ years of experience in software engineering with 23 years working directly with AI/ML models or GenAI solutions. Strong experience with Python, cloud platforms (especially GCP Vertex AI), and ML frameworks. Hands-on experience with LLMs, prompt engineering, fine-tuning, and embeddings. Experience in building and integrating GenAI services in real-time or batch applications. Solid understanding of machine learning lifecycle, data preprocessing, and deployment pipelines. Familiarity with CI/CD pipelines, API development, and cloud-native architectures. Excellent communication, collaboration, and stakeholder management skills.

What is the AI Adoption and Solutions team responsible for? The AI Adoption and Solutions team drives innovation and transformation within our organization. This dynamic team is responsible for identifying opportunities where artificial intelligence can be leveraged to solve complex business challenges and enhance operational efficiency. They work closely with various departments to understand their needs and develop tailored AI solutions that align with the company's strategic goals. From implementing AI/ML/GenAI models to automating processes, the AI Adoption and Solutions team ensures that AI technologies are seamlessly integrated into the business, providing AI insights, driving growth and enterprise impact. Their expertise in AI adoption and product solutions helps FT stay competitive in a rapidly evolving digital landscape, making them an essential part of the company's success. What is the Product Architect-AI responsible for? As an AI Solution Architect, you will be responsible for designing, developing, and implementing AI solutions that address complex business challenges. You will work closely with cross-functional teams to ensure the successful integration of AI technologies into our products and services. What are the ongoing responsibilities of the Product Architect-AI? Technical: Design and architect AI solutions that meet business value streams and requirements. Own the solution outcome for responsible focus areas. Collaboration: Work closely with stakeholders to understand their business needs and technical specifications. Build partnerships across Technology, Business and control groups. AI Product Management: Lead the development and deployment of AI algorithms for solutions. Ensure scalability, performance, monitoring, security, privacy and ethics of AI solutions. Industry Research and Thought Leadership: Stay informed about the latest trends and advancements in AI technology. Share insights with clients and internal teams to drive continuous improvement and innovation. Leadership: Provide technical guidance and knowledge sharing to teams and partners. Influence AI culture, solutions and mindset among cross-functional teams. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Engineering, Data Science, or a related field or equivalent experience. Advanced degrees and certifications in AI, Machine Learning, or related areas are preferred. 10+ years of experience in Product, Artificial Intelligence (AI). Demonstrated experience in AI consulting, AI solution design, implementation, and deployment. Familiarity with AI industry trends and use cases. Experience in a client-facing role is necessary. 5+ years of experience. Understanding business processes related to Asset Management, Retail, Advisory, Retirement, Wealth, Insurance. Experience in product lifecycle processes, including product research, market research, competitive analysis, planning positioning, roadmap development, requirements definition, and product launches and go-to-market strategies. Experience in project management, with the ability to manage multiple projects simultaneously and deliver results within deadlines. Comprehensive knowledge of AI technologies, including machine learning algorithms, data analytics, natural language processing, and computer vision. Proficiency in programming languages such as Python, R, or Java. Strong analytical and problem-solving abilities to evaluate client requirements and develop effective AI strategies. Excellent written and verbal communication skills, with the ability to convey business needs to technical solutions and articulate to stakeholders. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST

Summary Bitkraft Technologies LLP is looking for a Senior DevOps Engineer to join our software engineering team. The DevOps engineer will be responsible for implementing cutting-edge technology and solving real-life challenges in a variety of client environments using VI Editor & YAML Editor. If you love solving problems, are a team player, and want to work in a fast-paced environment with core technical and business challenges, we would like to meet you. Key Skills Azure, GitHub Actions, Kubernetes, Infrastructure, Terraform AWS Bedrock (part of Generative AI), Amazon Q, Generative AI, Quicksight Pro Certification in Cloud Technologies Key Responsibilities DevOps Frameworks : Implement and work with newer frameworks in the DevOps landscape, ensuring up-to-date practices and methodologies. Infrastructure as Code : Develop and maintain infrastructure as code solutions, enabling scalable and manageable infrastructure deployment. Microservice Architecture Management : Manage and optimize microservices architectures, ensuring high availability and efficient operation of services. GitHub Actions : Utilize mandatory GitHub actions for automating workflows, including CI/CD pipelines and infrastructure deployment. Infrastructure Automation : Focus on automating the building and maintenance of infrastructure, both in cloud environments and on-premises setups. Cloud and On-Premise Solutions : Work across both cloud and on-premise environments, demonstrating flexibility and adaptability in various infrastructural contexts. Kubernetes Expertise : Manage and optimize container orchestration using Kubernetes, ensuring efficient deployment, scaling, and management of applications. Repository Management : Experience working with both Monorepo and polyrepo setups, understanding the nuances and best practices of each. Tech Stack Proficiency : Proficient in Java and able to leverage this in a DevOps context to improve systems and processes. AWS & Generative AI : Work with AWS Bedrock, Amazon Q, and other Generative AI tools to optimize cloud and automation processes. Visualization & Monitoring : Utilize AWS Quicksight for data visualization and monitoring infrastructure performance. Qualifications Proven experience as a DevOps Engineer, with a focus on modern DevOps practices and tools. Strong knowledge of infrastructure as code and experience in managing microservice architectures. Proficient in GitHub Actions and experienced in automating infrastructure development. Experience working with both cloud and on-premises environments. Demonstrable skills in Kubernetes and familiarity with Monorepo and polyrepo setups Technical proficiency in Java. Experience with AWS Bedrock, Amazon Q, and Generative AI tools. Strong expertise in AWS Quicksight for infrastructure monitoring. Cloud Pro Certification is highly preferred. Excellent problem-solving skills and the ability to work independently or as part of a team. Strong communication skills and the ability to collaborate effectively with cross-functional teams. Experience 5+ years

We are looking for a dynamic and self-motivated Sr Business Analyst with a minimum of 4 years of experience to join our team In this role, you will act as the bridge between clients and internal teams, ensuring the successful delivery of Conversational AI Solutions (chat & voice) powered by Generative AI Technology Your expertise in requirements gathering, consulting, and client management will contribute to the seamless execution of projects while enhancing customer satisfaction. Key Attributes you need to possess: Analytical Thinking Ability to analyze client needs, system capabilities, and project constraints to propose effective solutions. Skill in identifying potential risks or gaps in requirements and addressing them proactively. Strong problem-solving abilities to handle unexpected challenges during project delivery. Communication Skills Exceptional verbal skills to articulate complex technical concepts in simple terms for clients and stakeholders. Strong written skills for creating clear and concise documentation, including requirement specifications, user stories, and status reports. Active listening skills to ensure accurate understanding of client needs and concerns. Client-Centric Mindset Empathy to understand and prioritize client requirements and business goals. Ability to build and maintain trust with clients through consistent communication and delivery excellence. Willingness to go the extra mile to ensure client satisfaction and success. Project Management Skills Proficiency in managing multiple tasks, timelines, and resources effectively without compromising quality. Familiarity with project management tools to track project progress and milestones. Strong organizational skills to ensure smooth project execution and timely deliverables. Collaboration Ability to work seamlessly with cross-functional teams, including developers, designers, and quality analysts. Openness to feedback and a collaborative approach to brainstorming and problem-solving. Proactive participation in team meetings, knowledge-sharing sessions, and retrospectives. Attention to Detail Meticulous approach to reviewing project requirements, deliverables, and client feedback. Commitment to quality assurance to avoid errors and rework in deliverables. Ability to maintain accuracy in tracking financials, such as invoicing and collections. Adaptability Comfort with working in dynamic environments and adjusting to shifting client priorities or project scopes. Eagerness to learn and apply new tools, technologies, and methodologies as needed. Resilience in handling pressure during tight deadlines and critical project phases. Typical work week looks like: Act as the first point of contact for clients and collaborate with clients to gather, analyze, and validate requirements for Conversational AI Solutions (chat & voice). Conduct workshops or discovery sessions with clients to propose best-in-class solutions powered by Generative AI Technology. Create detailed documentation such as requirement specifications, user stories, and process workflows. Assemble project scope and maintain project related documentation. Create a project plan with details and illustrations to identify the flow of activities needed in order to successfully conclude a project. Identify, track, monitor and communicate project related issues and other variances, scope changes, and contingencies that may crop up during implementation. Assign, schedule and review the project at regular intervals to analyze its progress in terms of quality guidelines and time constraints. Provide regular internal and external project status updates and reports. Coordinate with internal teams, including developers, designers, and QA, to ensure timely and quality project delivery. Track invoicing and collections to maintain financial clarity for assigned projects. Proactively identify potential risks and suggest mitigation strategies. Assist in enhancing client relationships by understanding their evolving needs and proposing new opportunities to help build new revenue streams. Our ideal candidate should have- A Bachelors degree in Computer Science, IT, or a related field. A minimum of 4 years of experience in a Business Analyst or similar role in IT or software delivery. Proven experience in requirements gathering, client management, and consulting. Knowledge of project management tools and methodologies Familiarity with Conversational AI technologies, and a keen interest in Generative AI Solutions. Proficiency in creating project documentation and workflow diagrams. Solid understanding of invoicing, collections, and project financials. An ability to effectively communicate and present technical concepts to non-technical stakeholders. Experience in stakeholder management and cross-functional team collaboration. What you can expect from ORI: Passion & happiness in the workplace with great people & open culture with amazing growth opportunities. An ecosystem where leadership is fostered which builds an environment where everyone is free to take necessary actions to learn from real experiences. Chance to work on the cutting-edge technology, including Generative AI. Freedom to pursue your ideas and innovate with multiple technologies. This role offers the opportunity to work with cutting-edge AI technologies and directly impact client success. If you are passionate about delivering innovative solutions and thrive in a collaborative environment, wed love to hear from you!

Hello, Greetings from GlobalData!!! Job Opening for below roles @ GlobalData -Hyderabad. Data Science Senior Data Science Job Criteria :- Qualification: B.Tech/BE/MCA/M.Tech/B.Sc/M.Sc-(Computers) Experience Range : 2 to 5 years Key Skills : Python, SQL, Gen AI, LLM, Data Science Notice Period : Immediate joiners or with one month notice period Job Location : Hyderabad Work Mode : Hybrid Salary : best as per market standard's Detailed job description given below please go through to understand requirement. If requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :-Applying for Data Science @ GlobalData-Hyd. Please Share your details in the mail :- Your Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Present Location : If out-station willing to relocate to Hyd : Yes/No Job Description:- Data Scientist Location: Hyderabad, India Experience: 2+ years About the Role :- We are looking for a Data Scientist with at least 2 years of experience to join our Hyderabad team. The ideal candidate is skilled in Python and SQL, with a strong analytical mindset. Experience with Generative AI (GenAI) or Large Language Models (LLMs) is a plus. Responsibilities Analyze large datasets and extract actionable insights. Build and deploy machine learning models. Write efficient SQL queries for data extraction and analysis. Collaborate with cross-functional teams to deliver data-driven solutions. Present findings to technical and non-technical stakeholders. Requirements Bachelors or Masters in Computer Science, Statistics, Mathematics, Engineering, or related field. 2+ years of experience in Data Science or a similar role. Strong Python and SQL skills. Solid understanding of statistics, machine learning, and data visualization. Excellent problem-solving and communication skills. Preferred Experience with GenAI or LLMs. Familiarity with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop). Knowledge of deep learning frameworks (TensorFlow, PyTorch). Job Description: Senior Data Scientist Location: Hyderabad, India Experience: 5+ years About the Role :- We are seeking a Senior Data Scientist with at least 5 years of experience to join our Hyderabad team. The ideal candidate has strong expertise in Python and SQL, hands-on experience with Generative AI (GenAI) or Large Language Models (LLMs), and a proven ability to manage multiple projects. You will lead data science initiatives, ensure timely project delivery, and mentor junior team members. Responsibilities Lead and deliver multiple data science projects on schedule. Design, develop, and deploy advanced machine learning and GenAI/LLM solutions. Guide and mentor junior data scientists, providing technical direction and support. Collaborate with cross-functional teams to define project goals and deliverables. Communicate complex findings clearly to stakeholders at all levels. Requirements Bachelors or Masters in Computer Science, Statistics, Mathematics, Engineering, or related field. 5+ years of experience in Data Science or a similar role. Strong proficiency in Python and SQL. Hands-on experience with GenAI or LLMs. Proven project management and team leadership skills. Deep understanding of statistics, machine learning, and data visualization. Excellent problem-solving, communication, and organizational skills. Preferred Experience with handling data formats like structured (SQL), semi-structured (Elasticsearch) and unstructured (PDF, Images in S3) Experience with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop). Knowledge of deep learning frameworks (TensorFlow, PyTorch). Thanks & Regards, Salim (Human Resources)