472 Genai Jobs - Page 2

As a member of the Optum Global Analytics Team at United Health Group, you will be involved in developing advanced analytics solutions across various verticals to enhance health outcomes and drive business growth. Your work will directly impact health equity on a global scale by connecting individuals with the care, pharmacy benefits, data, and resources necessary for improved well-being. Your primary responsibilities will include designing and deploying models, ensuring responsible use of AI, detecting and mitigating bias, conducting business analysis, creating analytical findings, engaging in client communications, mentoring junior data scientists, leading knowledge sharing sessions, overseeing technical deliveries, performing quality checks, collaborating with senior team members to develop new capabilities, and continuously building and applying technical and functional skills. To excel in this role, you must possess a bachelor's degree and have at least 7 years of experience in analytics and machine learning projects within the Business Intelligence or Business Analysis space. Proficiency in analytics tools such as R, Python, SQL, Databricks, and cloud technologies is essential. Additionally, you should have a strong understanding of Predictive & Prescriptive Analytics techniques, problem-solving skills, statistics, mathematics, data technologies, data structures, Natural Language Processing, Gen-AI, Large Language Models, and excellent communication abilities. Preferred qualifications include certification in Azure Cloud (AZ-900), familiarity with Business Intelligence tools like Tableau/Power BI, and exceptional time management, communication, decision-making, and presentation skills. If you are passionate about driving impactful solutions, possess a problem-solving approach, and are committed to continuous learning and growth, we welcome you to apply for this position at our Noida, Uttar Pradesh location. Join us in making a difference in the lives of millions as we strive to advance healthcare and well-being globally through innovative analytics solutions.,

As a Junior Data Scientist at GWC DATA.AI in Kolkata, India, you will be part of a dynamic Data Science team, collaborating with senior professionals to work on data analysis, predictive modeling, and business intelligence projects. This role is ideal for recent graduates or individuals with up to 2 years of experience in data analytics or machine learning. Your responsibilities will include collecting, cleaning, and analyzing large datasets, building machine learning models and algorithms, creating data visualizations, collaborating with cross-functional teams, and documenting data science workflows and outcomes. You will also be expected to stay updated on the latest trends and technologies in the field of data science. To be successful in this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proficiency in Python or R for data analysis, familiarity with SQL, and a solid understanding of statistics, data wrangling, and exploratory data analysis are required. Additionally, having skills in Machine Learning, Deep Learning, NLP, Computer Vision, and GenAI will be beneficial. Strong problem-solving and communication skills, along with a willingness to learn in a fast-paced environment, are essential. This is a full-time position with benefits including paid sick time and Provident Fund. The work schedule is during the day shift, and the role requires in-person work in Kolkata, West Bengal. If you are passionate about data science and looking to grow your career in a collaborative environment, we encourage you to apply before the application deadline on 10/08/2025.,

As a Senior AI Architect at Dailoqa, you will have the opportunity to shape the future of AI within the financial services industry. Dailoqa is a dynamic company at the forefront of combining human expertise with artificial intelligence to address complex challenges in the financial sector. Led by a global team of former CIOs and industry leaders, we are focused on making a high impact with our innovative solutions. To be successful in this role, you should have over 15 years of experience in the tech industry, with a minimum of 8 years specifically in machine learning and data science, and 4-5 years in Generative AI. You should possess a track record of developing scalable AI solutions tailored for enterprise applications. Additionally, you should have deep expertise in GenAI, NLP, Computer Vision, LLMs, and RAG strategies. Proficiency in Python, REST APIs, NoSQL, RDBMS, and cloud platforms such as Azure, OpenAI, Databricks, and Synapse is essential. At Dailoqa, your responsibilities will include collaborating with financial services clients worldwide, designing end-to-end AI solutions that deliver tangible business value, leading agile cross-functional teams, and working in a fast-paced, innovation-driven environment. This role offers the opportunity for rapid growth and the chance to play a significant role in shaping the company's future. We are seeking individuals who are passionate about leadership, mentoring, and innovation. If you thrive in a fast-paced, customer-focused, and mission-driven environment that values simplicity, agility, and impact, Dailoqa could be the perfect fit for you. If you are looking to be part of a team that is committed to building the future of AI and are eager to be fully immersed in a dynamic, forward-thinking organization, we encourage you to apply. Please submit your resume to Arundhati@manasamitr.com to be considered for this exciting opportunity. Join us at Dailoqa and be a part of a team that is dedicated to revolutionizing the financial services industry through the power of artificial intelligence. #AIJobs #GenerativeAI #SeniorAIArchitect #TechJobs #ML #FinTech #Dailoqa #ArtificialIntelligence #Hiring #AILeadership,

You balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. You guide customers from what's now to what's next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society. You are looking for a Python & Data Science professional with 5+ years of experience for a Contract to Hire position in Pune and Hyderabad. Immediate joiners are preferred. As a Python & Data Science expert, you will solve business and customer issues utilizing AI/ML, build prototypes and scalable AI/ML solutions that will be integrated into software products, collaborate with software engineers, business stakeholders, and product owners in an Agile environment, and have complete ownership of model outcomes driving continuous improvement. The essential requirements for this role include strong coding skills in Python, machine learning knowledge (Deep learning, Information Retrieval (RAG), GenAI, Classification, Forecasting, Regression, etc.) with experience in ML model deployment, ability to work with internal stakeholders to transfer business questions into quantitative problem statements, effective communication of data science progress to non-technical internal stakeholders, and the ability to lead a team of data scientists is a plus. Experience with Big Data technologies and/or software development is also a plus.,

DifferentByte Technologies Pvt Ltd, a GENAI consultancy firm located in Cochin, Kerala, is in immediate need of a talented Python Developer/Backend Developer to join their team. The primary focus of this position is to contribute to the development of an AI-based high-frequency trading platform. This role presents a unique opportunity for individuals looking to establish a rewarding career in a technology-oriented trading organization. As a Python Developer at DifferentByte Technologies Pvt Ltd, your responsibilities will include writing effective and scalable code, enhancing back-end components to optimize responsiveness and performance, integrating user-facing features into applications, as well as testing and debugging programs. You will also be tasked with improving the functionality of existing systems, implementing security measures, evaluating and prioritizing feature requests, and collaborating with internal teams to understand user needs and offer technical solutions. The ideal candidate should possess a minimum of 2 years of demonstrable experience as a Python Developer within a product-based company. Proficiency in Python frameworks such as Fast API and Flask, along with knowledge of PostgreSQL and familiarity with Supabase, are essential requirements for this role. Additionally, expertise in queuing systems like Apache Kafka and Airflow, as well as strong problem-solving skills, are highly valued. Candidates with experience in artificial intelligence, machine learning, deep learning, and technologies like TensorFlow and PyTorch will be preferred. A degree in B.Tech/B.E. in Computer Science, Engineering, or a related field is a prerequisite. This position is open to candidates currently residing in Kerala or those willing to relocate to Cochin. Apart from the technical qualifications, DifferentByte Technologies Pvt Ltd offers a collaborative and informal work environment with a casual dress code and a flat structure. Joining the highly driven and Agile team at DifferentByte presents an excellent opportunity for career advancement, competitive salary, and a comprehensive benefits package. If you are looking to be a part of an innovative team that values code quality, testing, and making a significant impact on the future of AI-based trading platforms, apply now by contacting hr@differentbyte.in.,

NTT DATA is looking for a Salesforce Scrum Master - Digital Solution Consultant to join their team in Hyderabad, India. As a Scrum Master/Agile Project Manager, you will play a crucial role in a new division focused on delivering digital services across the SFDC platform. This is an opportunity to not just have a job but to shape the business and grow your career alongside a talented team in different countries. NTT DATA values training, consulting skills improvement, and certifications, with over 3,000 SF certifications within the company. Your responsibilities will include facilitating sprint planning, scrum ceremonies, and working with the Product Owner and team to meet project requirements. You will mentor teams in agile methodologies, manage agile toolsets, and provide relevant metrics to track team progress. Your role will be essential in ensuring the success of digital technology projects for clients, supporting team leadership, and delivering projects as promised. To qualify for this role, you should have at least 8 years of experience as a Scrum Master, 5 years of experience in Agile Project Management, and a minimum of 3 years in the full software development life cycle. Holding two current certifications from a list that includes PMI-ACP, PMP, CSM, PSM, Certified Scrum Professional, SAFe Scrum Master, SAFe Advanced Scrum Master, SAFe Release Train Engineer, or SAFe Agilist is required. You should also demonstrate a successful track record in managing complex projects, strong interpersonal and communication skills, and the ability to work with diverse teams and stakeholders. Experience with GenAI or AgentForce, GUS, JIRA, and Confluence is preferred, as well as experience as a Scrum Master in a SAFe environment. Ideal candidates should be focused, capable of coaching team members in agile practices, and committed to continuous improvement through data-driven insights and retrospectives. About NTT DATA: NTT DATA is a global innovator in business and technology services, serving 75% of the Fortune Global 100. Committed to helping clients innovate, optimize, and transform for long-term success, NTT DATA has experts in over 50 countries and a strong partner ecosystem. Their services range from business and technology consulting to data and artificial intelligence solutions, with a focus on digital and AI infrastructure. As part of the NTT Group, NTT DATA invests significantly in R&D to support organizations and society in the digital future. Visit their website at us.nttdata.com for more information.,

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet Job Title: Data Analyst/Scientist Location: Chennai Work Type: Hybrid Position Description: For Data Analyst/Scientist Education: Bachelors, Masters, or Ph.D. in a quantitative domain including Statistics, Mathematics, Economics, Computer Science, Physics, and Engineering Experience: 3-5 years Automotive domain experience is a plus Freshers with exceptional educational credentials would be considered Skills: Data Analysis, Statistical Modelling, Artificial Intelligence (including Machine Learning, Natural Language Processing, and GenAI) Skills Required: Python, Statistics, SQL, Machine Learning Skills Preferred: LLM, cloud, GCP Experience Required: 5+ Education Required: Bachelor&aposs Degree Education Preferred: Master&aposs Degree TekWissen Group is an equal opportunity employer supporting workforce diversity. Show more Show less

Kitchen appliance brand Butterfly has introduced a refreshed brand identity centered around the concept of transformation and authenticity, symbolized by a new logo that merges a butterfly with a fingerprint. The brand aims to connect with &aposzillenial' consumersself-aware individuals who value both change and authenticityby focusing on psychographics rather than demographics. Butterfly&aposs new positioning, Celebrating Change, reflects the evolving dynamics of modern Indian households, with a commitment to providing innovative and intuitive kitchen solutions that adapt to contemporary lifestyles. As the SAP FICO Manager, you will be responsible for managing SAP Financial Accounting and Controlling (FICO) module and associated processes, config and providing functional expertise. Your role will involve collaborating with cross-functional teams, implementing best practices, and driving continuous improvement initiatives to optimize financial operations. You will also get opportunity to work on both ECC and S4 HANA systems as well as co-driving a large finance digital transformation project involving latest technologies such as RPA and GenAI etc. KEY SKILLS & EXPERIENCE Experience of at least one end-to-end SAP implementation or large enhancement projects. Experience in any large finance transformation or large end-to-end cross-module transformations is desirable. Solid understanding of SAP Finance module, including General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Asset Accounting (AA), Cash Management, Intercompany accounting, Internal Orders and Controlling (CO). Ability to collaborate effectively with cross-functional teams, business stakeholders, and IT teams to gather requirements, analyze business processes, and design solutions in the SAP Finance module. Experience with Bank/Channel financing integrations with SAP Knowledge and experience on taxation and integrations for GST, TDS, e-invoicing etc Hands-on experience in SAP with ability to provide end-to-end design solutions for business processes as well as collaborating with and guiding external partner consultants to ensure seamless delivery. Ensure internal controls and compliance and collaborate with internal and external auditors during financial audits Qualifications: Bachelor&aposs degree in Finance, Accounting, Business Administration, or a related field. A Master&aposs degree is a plus. Extensive experience (6+ years) in SAP FICO implementation, configuration, and management. Strong understanding of financial accounting principles and practices. Proficiency in financial planning, analysis, and reporting. Strong analytical and problem-solving skills required, and cross-functional skills are a plus. Experience in manufacturing industry processes is a plus. Preferably worked on S4 HANA. Excellent leadership and team management skills. Demonstrated ability to drive process improvement initiatives. Effective communication and interpersonal skills to collaborate with stakeholders at all levels. Experience - 06 to 14 years of experience in SAP and IT Application in SAP FICO Show more Show less

As an AI/ML Engineer Generative AI Specialist with over 5 years of experience, you will be expected to possess the following must-have skills: You should have a strong background in AI/ML frameworks such as PyTorch, TensorFlow, and proficient in Python programming. Your experience with AWS services, specifically AWS Bedrock and Lambda functions, will be crucial. Hands-on expertise in LangChain components (agents, chains, memories, parsers, document loaders), developing and optimizing GenAI, NLP models, and CrewAI is essential for this role. You should be capable of building and deploying RAG (Retrieval-Augmented Generation) systems, chatbots, and AI applications using OpenAI APIs, Ollama, Llama, and llamaparse. Advanced prompt engineering techniques like Chain of Thought (CoT) prompting should be within your skill set. Additionally, experience with Docker, CI/CD pipelines, YML files, and GitHub repository management is required. A strong understanding of system design principles, focusing on security, scalability, and performance optimization, is a must. Good-to-have skills include experience in responsible AI practices, knowledge of event-driven architecture, and familiarity with cloud deployments and Kubernetes. Experience with large-scale AI model training and fine-tuning would be beneficial. Your key responsibilities will involve designing and implementing AI/ML solutions using cutting-edge technologies to ensure scalability, efficiency, and alignment with business objectives. You will be responsible for developing and optimizing LangChain components, CrewAI, GenAI, and NLP models customized to specific applications. Building and deploying production-ready RAG systems, chatbots, and AI-driven applications utilizing OpenAI APIs, Ollama, Llama, and llamaparse will be part of your role. Leveraging AWS Bedrock and other AWS services to deliver high-performance AI solutions is crucial. You will need to apply prompt engineering techniques like Chain of Thought (CoT) prompting to enhance AI interactions, maintain CI/CD pipelines, manage YML files, and utilize GitHub for version control. Implementing containerization using Docker and deploying AI solutions in cloud environments will also fall under your responsibilities. Ensuring that solutions adhere to best practices in system design, focusing on security, performance, and efficiency considerations is essential. You will also need to incorporate responsible AI practices and ensure compliance with ethical AI guidelines. Collaboration with cross-functional teams to translate AI insights into impactful solutions and effective communication of complex technical concepts to both technical and non-technical stakeholders will be expected from you.,

We&aposre seeking a visionary Enterprise Architect to join our CTO Office and shape cross-portfolio solutions at the intersection of AI, Customer Experience (CX), Cybersecurity, and Digital Skilling technologies. Youll architect scalable, standardized solutions for global clients, govern complex deals, and collaborate with diverse stakeholders to translate business needs into future-ready technical strategies. As a trusted advisor, you will evangelize solution value, articulating how the right technology mix enables our customers to achieve strategic outcomes. At TeKnowledge , your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progressin a place where people lead and tech empowers. Youll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world. Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career developmentensuring you stay ahead in an ever-evolving world. Why Youll Enjoy It Here: Be Part of Something Big A growing company where your contributions matter. Make an Immediate Impact Support groundbreaking technologies with real-world results. Work on Cutting-Edge Tech AI, cybersecurity, and next-gen digital solutions. Thrive in an Inclusive Team A culture built on trust, collaboration, and respect. We Care Integrity, empathy, and purpose guide every decision. Were looking for innovators, problem-solvers, and experts ready to drive change and grow with us. We Are TeKnowledge. Where People Lead and Tech Empowers. Responsibilities: Design enterprise-grade architectures integrating structured/unstructured data, analytics, and advanced AI models (GenAI, LLMs, cognitive services). Build scalable data pipelines and lake-centric architectures to power real-time analytics and machine learning. Architect multi-cloud AI/ML platforms using Azure, including deployment of LLMs (Azure OpenAI and open-source models like LLaMA, Mistral, Falcon). Define infrastructure, data, and app requirements to deploy LLMs in customer private data centers. Lead technical reviews for high-value deals, identifying risks and mitigation strategies. Design integrated solutions across AI, CX, Cybersecurity, and Tech Managed Services portfolios. Develop standard design patterns and reusable blueprints for repeatable, low-risk, and scalable solution delivery. Present architectural solutions to C-suite executives, aligning technical outcomes with business value and ROI. Collaborate with sales and pre-sales to scope complex opportunities and develop compelling proposals. Foster innovation across CTO, Sales, and Solution teams. Identify synergy across offerings (e.g., Microsoft Copilot + AI-first CX + Cybersecurity). Support product teams with market feedback and solution evolution. Define architectural best practices ensuring security, compliance, and scalability. Mentor delivery teams on frameworks and emerging tech adoption. Shape and execute the enterprise architecture strategy aligned with business goals. Champion digital transformation and technology innovation. Leverage expertise in Azure and Microsoft D365 to support solution architecture. Drive responsible AI adoption and ensure awareness of privacy, bias, and security in deployments. Ensure all solutions meet IT security and compliance standards. Collaborate with Legal and Procurement for contract negotiations and vendor performance. Lead, mentor, and build a high-performing, collaborative CTO team with a customer-first mindset. Qualifications: Education: Bachelor&aposs or Masters degree in Computer Science, Information Technology, Cybersecurity, or related field. Experience: 10+ years in enterprise architecture, with 5+ years in customer-facing roles. Certifications: Preferred TOGAF, Zachman, ITIL, CISSP, Azure certifications or equivalents. Proven experience architecting and delivering AI/ML platforms, data lakes, and intelligent applications at enterprise scale. Demonstrable experience deploying local LLMs in production environments, including integration with LangChain, databases, and private storage. Strong knowledge of enterprise architecture frameworks and multi-cloud platforms (with a focus on Azure). Ability to design and deliver end-to-end solutions including networks (voice and data), microservices, business applications, resilience, disaster recovery, and security. Understanding of On-Prem / Private Cloud workload migration to public or hybrid cloud environments. Commercial acumen with the ability to articulate the business value of cloud-based solutions to executive stakeholders. Strong problem-solving and critical thinking skills with a proactive, outcome-oriented mindset. Experience with cloud computing, data center technologies, virtualization, and enterprise-grade security policies/processes. Proficiency in AI/ML, cybersecurity frameworks, customer experience platforms, and Microsoft Cloud (Azure, M365, D365). Exceptional communication and storytelling abilities for both technical and non-technical audiences. Experience engaging with large enterprise clients across industries such as government, healthcare, banking & finance, travel, and manufacturing. Empowering Leadership and Innovation At TeKnowledge, we are committed to fostering a culture of inspiring leadership and innovation. Our core leadership competencies are integral to our success: Inspire: We prioritize creating an inclusive environment, leading with purpose, and acting with integrity and respect. Build: Our leaders own business growth, drive innovation, and continuously strive for excellence. Deliver: We focus on setting clear priorities, embracing agility and change, and fostering collaboration for growth. We are looking for talented individuals who embody these competencies, are ready to grow, and are eager to contribute to our dynamic team. If you are passionate about making a meaningful impact and excel in a collaborative, forward-thinking environment, we invite you to apply and help us shape the future. Show more Show less

What Youll Do Experience in creating GenAI applications such as answering engines, extraction components, and content authoring. Strong knowledge in developing RAG-based pipelines using frameworks like LangChain & LlamaIndex. Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization. Expertise in crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques. Skilled in creating prompts that efficiently guide LLMs to generate outputs meeting business requirements. Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding. Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time. Must Have Skills: Python, AWS/Azure, Data Science, Gen AI tools (Azure Open AI, Langchain, vector DB), Software Engineering. Good to Have: DevOps, CI/CD, Kubernetes. Product development Experience. What Youll Bring Technical Proficiency: Demonstrated expertise in Python, AWS/Azure, Data Science, and GenAI tools (including Azure OpenAI, LangChain, and Vector DB), along with a strong foundation in software engineering principles. Advanced Skills in DevOps and CI/CD: Good to have experience in DevOps, Continuous Integration/Continuous Deployment (CI/CD), and Kubernetes is highly beneficial for enhancing product development and deployment processes. Product Development Experience: A background in product development is advantageous, enabling you to contribute to the creation of scalable, user-centric AI solutions. Ability to quickly adapt to new technology and be innovative in creating solutions Strong in at least one of the Programming languages - PySpark, Python or Java, Scala, etc. and Programming basics - Data Structures Experience in designing and implementation of solution on distributed computing and cloud services platform AWS, Azure, GCP.

IT MANAGER, DATA ENGINEERING AND ANALYTICS will lead a team of data engineers and analysts responsible for designing, developing, and maintaining robust data systems and integrations. This role is critical for ensuring the smooth collection, transformation, integration and visualization of data, making it easily accessible for analytics and decision-making across the organization. The Manager will collaborate closely with analysts, developers, business leaders and other stakeholders to ensure that the data infrastructure meets business needs and is scalable, reliable, and efficient. What Youll Do: Team Leadership: Manage, mentor, and guide a team of data engineers and analysts, ensuring their professional development and optimizing team performance. Foster a culture of collaboration, accountability, and continuous learning within the team. Lead performance reviews, provide career guidance, and handle resource planning. Data Engineering & Analytics: Design and implement data pipelines, data models, and architectures that are robust, scalable, and efficient. Develop and enforce data quality frameworks to ensure accuracy, consistency, and reliability of data assets. Establish and maintain data lineage processes to track the flow and transformation of data across systems. Ensure the design and maintenance of robust data warehousing solutions to support analytics and reporting needs. Collaboration and Stakeholder Management: Collaborate with stakeholders, including functional owners, analysts and business leaders, to understand business needs and translate them into technical requirements. Work closely with these stakeholders to ensure the data infrastructure supports organizational goals and provides reliable data for business decisions. Build and Foster relationships with major stakeholders to ensure Management perspectives on Data Strategy and its alignment with Business objectives. Project Management: Drive end-to-end delivery of analytics projects, ensuring quality and timeliness. Manage project roadmaps, prioritize tasks, and allocate resources effectively. Manage project timelines and mitigate risks to ensure timely delivery of high-quality data engineering projects. Technology and Infrastructure: Evaluate and implement new tools, technologies, and best practices to improve the efficiency of data engineering processes. Oversee the design, development, and maintenance of data pipelines, ensuring that data is collected, cleaned, and stored efficiently. Ensure there are no data pipeline leaks and monitor production pipelines to maintain their integrity. Familiarity with reporting tools such as Superset and Tableau is beneficial for creating intuitive data visualizations and reports. Machine Learning and GenAI Integration: Machine Learning: Knowledge of machine learning concepts and integration with data pipelines is a plus. This includes understanding how machine learning models can be used to enhance data quality, predict data trends, and automate decision-making processes. GenAI: Familiarity with Generative AI (GenAI) concepts and exposure is advantageous, particularly in enabling GenAI features on new datasets. Leveraging GenAI with data pipelines to automate tasks, streamline workflows, and uncover deeper insights is beneficial. What Youll Bring: 12+ years of experience in data engineering, with at least 3 years in a managerial role. Technical Expertise: Strong knowledge of data engineering concepts, including data warehousing, ETL processes, and data pipeline design. Proficiency in Azure Synapse or data factory, SQL, Python, and other data engineering tools. Data Modeling: Expertise in data modeling is essential, with the ability to design and implement robust, scalable data models that support complex analytics and reporting needs. Experience with data modeling frameworks and tools is highly valued. Leadership Skills: Proven ability to lead and motivate a team of engineers while managing cross-functional collaborations. Problem-Solving: Strong analytical and troubleshooting skills to address complex data-related challenges. Communication: Excellent verbal and written communication skills to effectively interact with technical and non-technical stakeholders. This includes the ability to motivate team members, provide regular constructive feedback, and facilitate open communication channels to ensure team alignment and success. Data Architecture: Experience with designing scalable, high-performance data systems and understanding cloud platforms such as Azure, Data Bricks. Machine Learning and GenAI: Knowledge of machine learning concepts and integration with data pipelines, as well as familiarity with GenAI, is a plus. Data Governance: Experience with data governance best practices is desirable. Open Mindset: An open mindset with a willingness to learn new technologies, processes, and methodologies is essential. The ability to adapt quickly to evolving data engineering landscapes and embrace innovative solutions is highly valued.

About the Role We are seeking a BI Architect to advise the BI Lead of a global CPG organization and architect an intelligent, scalable Business Intelligence ecosystem. This includes an enterprise-wide KPI dashboard suite augmented by a GenAI-driven natural language interface for insight discovery. The ideal candidate will be responsible for end-to-end architecture: from scalable data models and dashboards to a conversational interface powered by Retrieval-Augmented Generation (RAG) and/or Knowledge Graphs. The solution must synthesize internal BI data with external (web-scraped and competitor) data to deliver intelligent, context-rich insights. Key Responsibilities • Architect BI Stack : Design and oversee a scalable and performant BI platform that serves as a single source of truth for key business metrics across functions (Sales, Marketing, Supply Chain, Finance, etc.). • Advise BI Lead : Act as a technical thought partner to the BI Lead, aligning architecture decisions with long-term strategy and business priorities. • Design GenAI Layer : Architect a GenAI-powered natural language interface on top of BI dashboards to allow business users to query KPIs, trends, and anomalies conversationally. • RAG/Graph Approach : Select and implement appropriate architectures (e.g., RAG using vector stores, Knowledge Graphs) to support intelligent, context-aware insights. • External Data Integration : Build mechanisms to ingest and structure data from public sources (e.g., competitor websites, industry reports, social sentiment) to augment internal insights. • Security & Governance : Ensure all layers (BI + GenAI) adhere to enterprise data governance, security, and compliance standards. • Cross-functional Collaboration : Work closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization. Qualifications • 69 years of experience in BI architecture and analytics platforms, with at least 2 years working on GenAI, RAG, or LLM-based solutions. • Strong expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. • Experience with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). • Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is a plus. • Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. • Familiarity with web scraping and structuring external/third-party datasets. • Prior experience in CPG domain or large-scale KPI dashboarding preferred.

Hello everyone, Optum is hiring for Python with AI ML experience at Noida. Primary Skills: Python, AI ML (Artificial Intelligence), GCP/Azure/AWS, Docker, Kubernetes, NLP, GenAI NOTE: Only Premier Institute candidates can apply. Required Qualifications: Graduation 1+ years of experience in Python 1+ years of experience in AI ML Cloud Platforms: Hands-on experience with GCP, Azure, or AWS for deploying AI applications Containerization and Orchestration: Experience with Docker and Kubernetes Database Expertise: Knowledge of vector databases (e.g., Redis, ChromaDB) and traditional SQL & NoSQL databases Generative AI Tools: Familiarity with LLMs, Google ADK, Anthropic MCP, and multi-agent frameworks AI Expertise: Solid understanding of classical ML, deep learning, and Generative AI technologies Programming Languages: Proficiency in Python and experience with FastAPI (asynchronous implementation) Logging Tools: Proficiency in Splunk for logging and diagnostics Performance Optimization: Proven ability to conduct performance testing and optimize backend systems Preferred Qualifications: Experience in prototyping and deploying AI-driven applications in production environments Knowledge of ReAct frameworks for multi-agent AI systems Familiarity with CI/CD pipelines and DevOps practices Understanding of ethical AI practices and governance frameworks Proven solid problem-solving skills and ability to address challenges in cloud deployment and backend optimization Interested can share their updated resume at arshad_mohammad@optum.com . Regards, Arshad Ayub - Talent Scout Optum arshad_mohammad@optum.com

GenAI Developer is a senior software engineer role focused on building AI-powered applications using natural language processing (NLP) and generative AI models. Develop and code in C# or Python, work on prompt engineering and cloud platforms like Azure. Work in an agile environment and collaborate with cross-functional teams. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Design and develop generative AI solutions that align with business goals and optimize performance. Collaborate with product managers, data scientists, and designers to create AI-powered applications tailored to customer needs. Build and refine natural language processing models, ensuring seamless user interaction through intuitive interfaces. Integrate generative AI models into applications and manage end-to-end software life cycles. Utilize C# or Python for backend development, focusing on server-side applications and API integrations. Stay updated on AI advancements to continuously enhance application performance and capabilities. Lead documentation efforts and manage production support issues to ensure system reliability. Foster an agile, collaborative environment that encourages innovative problem-solving and creative solutions. KEY SKILLS AND EXPERIENCE You have: Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field. Overall 5- 9 years of work experience in C# or Python development where natural language processing was a key component. Atleast 1 year of experience in developing GenAI applications using prompt engineering, in-context learning etc Preferably Certified Cloud Developer (either Microsoft, IBM Cloud, AWS, Google) Good understanding of orchestrating frameworks like Semantic Kernel, AutoGen, Langchain, Llamaindex etc. Work with an Agile mindset to create value across projects of multiple scopes and scale It would be nice if you also had: 1-2+ years of experience in participating in data and analytics initiatives in a corporate environment or a growing, data-driven startup Understanding of advanced analytics, including data management, different types of machine learning approaches and machine learning pipelines Understanding of fine tuning large language models

Senior AI/ML Engineer Location: Chennai, Bangalore, Noida and Pune Required Qualifications 5+ years of professional experience in AI/ML development Strong programming skills in Python and related ML frameworks Proven track record of delivering GenAI systems to production Effective communication with client Technical Skills & Experience Proficiency in Python, TensorFlow, PyTorch, Hugging Face, LangChain. Experience with APIs development and integration using Flask, FastAPI, or similar frameworks. Familiarity with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for AI applications. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Strong knowledge of Cloud services (AWS, Azure, GCP) for AI deployment. Understanding of MLOps and CI/CD pipelines for model lifecycle management. Machine Learning & Deep Learning Strong foundation in traditional ML algorithms and statistical modeling Experience with neural network architectures and deep learning frameworks (PyTorch/TensorFlow) Practical knowledge of model optimization, hyperparameter tuning, and performance metrics Expertise in data preprocessing, feature engineering, and model validation techniques Large Language Models (LLMs) Experience working with transformer-based architectures Hands-on experience with LLM deployment and fine-tuning Understanding of prompt engineering and LLM evaluation metrics Knowledge of RAG (Retrieval-Augmented Generation) systems and vector databases AI Agents & Automation Experience in developing autonomous AI agents and workflows Understanding of agentic approaches to AI system design Knowledge of reinforcement learning and decision-making systems Experience with AI orchestration and multi-agent systems Computer Vision (Good to have) Practical experience with image processing and computer vision algorithms Knowledge of CNN architectures and modern vision transformers Experience with object detection, segmentation, and classification tasks Understanding of video processing and real-time vision systems Infrastructure & Deployment Strong experience with cloud platforms (AWS/Azure/GCP) Expertise in API development and RESTful services Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with ML ops and model serving infrastructure Key Responsibilities Design and implement end-to-end AI solutions from concept to production Develop and optimize ML models for various use cases Create and maintain RAG systems for information retrieval and generation Build and deploy computer vision solutions for real-world applications Implement and manage cloud-based AI services and APIs Collaborate with cross functional teams to integrate AI solutions Mentor junior team members and contribute to technical decision making Preferred Skills Experience with distributed computing and large scale data processing Knowledge of AI safety and responsible AI development practices Familiarity with AI research papers and ability to implement novel approaches Experience with A/B testing and experimental design Strong documentation and technical writing abilities Personal Qualities Strong problem solving and analytical skills Excellent communication and collaboration abilities Self motivated with a passion for staying current with AI advancements Ability to work independently and as part of a team share CV to hrajasekaran@aziro.com

As a Senior Software Engineer at Walmart International, you will be responsible for coding, unit testing, and building high-performance and scalable applications that cater to the needs of millions of Walmart-International customers in the areas of supply chain management and customer experience. Working closely with multiple teams, you will provide guidance on technical aspects, set quality standards, participate in design discussions, and drive technical decisions. Your role will involve conducting architecture and design reviews, code reviews, and engaging with Product Management and Business to prioritize and deliver exceptional products. In collaboration with Walmart International, which operates over 5,900 retail units across 26 countries, you will lead the design, development, implementation, and documentation of cutting-edge solutions at scale. You will interact with engineering teams globally, leveraging expertise and contributing to the tech community to ensure the success of strategic initiatives. Bringing over 12 years of experience in designing and developing highly scalable applications, you will demonstrate a strong understanding of computer science fundamentals, expertise in Java, Python, and ReactJS, and familiarity with distributed systems, microservices architecture, and container technologies. Your deep knowledge of DevOps principles, cloud-native applications, databases, APIs, testing frameworks, and event-based distributed systems will be key in driving innovation and growth. You will work with senior leadership to shape the future roadmap of products, participate in hiring and team-building activities, and collaborate with cross-functional teams to deliver solutions meeting quality, cost, and delivery requirements. Additionally, you will engage with business owners and technical teams globally to gather requirements and drive impactful solutions. At Walmart Global Tech, we are committed to creating a culture of inclusivity and belonging, where every associate is valued and respected. By fostering a workplace where diversity is celebrated, we aim to engage our associates, customers, and suppliers, creating opportunities for all and ultimately serving our global community better. If you have a Master's or Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, and possess the skills and experience to drive innovation at scale, we invite you to join us in reimagining the future of retail at Walmart Global Tech.,

About Aeris: For over three decades, Aeris has established itself as a trusted leader in cellular IoT, playing a key role in enabling major IoT initiatives across various sectors such as Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. With our expertise in IoT technology, we cater to a vast global network of 7,000 enterprise customers, 30 mobile network operator partners, and a staggering 80 million IoT devices worldwide. Aeris is at the forefront of powering today's interconnected smart world with cutting-edge technologies and seamless connectivity that streamline management, enhance security, optimize performance, and drive growth. Our IoT Services at Aeris are purpose-built to cater to the unique demands of IoT, having been rigorously tested and proven at scale. We understand the complexities involved in implementing IoT solutions and take pride in simplifying the process for our clients. As a company, we are in a strong position, witnessing rapid growth both in terms of profitability and global presence. Operating in a dynamic market where technology is constantly evolving and new IoT solutions are emerging at a rapid pace, Aeris is a hub of innovation and growth. At Aeris, a few core principles guide our actions: 1. Customer-Centric Approach: Our decisions are anchored in prioritizing the needs of our customers above all else, followed by the interests of the company, our teams, and individual selves. 2. Culture of Innovation: Being a pioneer in a competitive industry with the potential to revolutionize global sectors, we believe in forging our own path and continuously striving to outpace the competition through innovation. 3. Emphasis on Integrity: Integrity forms the bedrock of our values at Aeris, evident in the conduct of our staff, management practices, and social impact initiatives. Integrity is ingrained in how we handle people, HR matters, and expect direct and respectful communication among employees and managers. 4. Ownership Mentality: We empower our teams to take ownership of problem-solving, fostering a culture of accountability, autonomy, and creativity. Job Description: Position: Lead SDET (Automation and GenAI), Automotive Experience: 7 to 12 Years Location: Noida/Gurgaon Key Responsibilities: - Strategic Automation Leadership: Design and implement robust, scalable, and intelligent test automation frameworks for cloud-based services. - Test Suite Development: Create automated test coverage across various layers such as functional, performance, security, and end-to-end using tools like Playwright, Rest Assured, JMeter, Postman, and Cucumber. - Code Quality Assurance: Conduct code reviews to maintain high standards in both application and test automation code. - CI/CD Integration: Ensure seamless automation within CI/CD pipelines (Jenkins, GitLab CI/CD, Azure DevOps) to facilitate faster releases. - Quality Strategy Definition: Lead QA planning, execution, and reporting for safety-critical systems with a focus on coverage and traceability. - Defect Management: Oversee defect lifecycle utilizing tools like JIRA, Zephyr, and Xray; leverage GenAI for efficient triage and RCA. - GenAI Integration: Identify, evaluate, and integrate Generative AI tools and techniques throughout the SDLC for automated test case generation, code optimization, and defect analysis. - Mentorship & Innovation: Guide junior engineers, promote AI-driven testing practices, and encourage continuous learning. - Agile Collaboration: Collaborate with cross-functional teams including Product, Dev, and DevOps to embed quality throughout the SDLC. Required Skills & Qualifications: - Experience: 7-12 years in QA/Automation with 2-3 years in a lead/senior role, cloud-native background preferred. - Automation Expertise: Proficient in Java, JavaScript, or Python for automation framework development. Strong skills in building scalable frameworks using tools like Rest Assured, Selenium, Playwright, Appium, and JMeter. - GenAI Proficiency: Hands-on experience with GenAI tools (OpenAI, Gemini, Claude) for test automation, code generation, and analysis. Familiarity with GitHub Copilot, ChatGPT, and similar AI-powered dev/test tools. - Cloud & Microservices: Experience in testing apps on AWS, Azure, or GCP in microservices-based architectures. - CI/CD & DevOps: Proficiency in Jenkins, GitLab CI/CD, Azure DevOps for automation pipeline integration. - Testing Depth: Skilled in API testing (Postman, SoapUI), database validation (SQL/NoSQL), and various testing methodologies covering functional, performance, security, and end-to-end aspects. - Soft Skills: Strong problem-solving, analytical thinking, communication, and collaboration abilities. Nice to Have: - Background in Automotive, Telematics, or IoT. - Familiarity with real-time systems and event-driven architectures (Kafka, RabbitMQ). - Experience with monitoring/logging tools (e.g., Grafana). - Expertise in performance tuning and system optimization for large-scale platforms. Join Us: - High-Impact Work: Contribute to next-gen connected vehicle solutions on a global scale. - Innovation-Driven: Operate at the forefront of automotive, cloud, and Generative AI technologies. - Growth Opportunities: Advance your career, take on leadership roles, and expand your skill set. - Inclusive Culture: Be a part of a diverse team that values different perspectives and fosters inclusive collaboration. - Collaborative Environment: Work alongside passionate professionals tackling real-world challenges. If you are a forward-thinking Lead SDET who thrives on technical challenges and is eager to shape the future of quality engineering utilizing Generative AI in the connected vehicle sector, we welcome your application! Note: Aeris may conduct background checks as part of the hiring process to verify the information provided and assess suitability for the role. The scope and nature of these checks will adhere to the relevant laws and regulations of the country where the position is based. Further details will be provided during the formal application process. Aeris is committed to diversity, embracing individuals from varying ethnicities, religions, and cultures, reflecting our inclusive and dynamic work environment.,

You have accumulated over 10 years of experience as a Product Manager/Product Owner, with a minimum of 2 years specifically in AI/ML product ownership. As an experienced Product Owner, you will be responsible for leading the vision, strategy, and implementation of our AI-based Test Intelligence Platform. This platform is designed to transform software testing through the utilization of AI/ML, data analytics, and automation to offer actionable insights, test generation, predictive testing, risk-based prioritization, and intelligent regression strategies. Your key responsibilities will include defining and managing the product roadmap, backlog, and feature prioritization based on customer requirements, business objectives, and AI capabilities. Collaboration with cross-functional teams, such as AI/ML engineers, QA, DevOps, and UX, will be essential to translate requirements into scalable product features. You will drive the discovery, definition, and delivery of features like test generation, test impact analysis, flaky test detection, root cause analytics, and automated risk scoring. Additionally, conducting competitive benchmarking of test intelligence tools and partnering with customers and internal stakeholders to collect feedback and enhance user journeys will be part of your role. Defining and monitoring necessary KPIs is also crucial. The ideal candidate will possess proven experience as a Product Owner or Product Manager in software development, test automation, DevOps, or quality engineering domains. A good grasp of AI/ML concepts, model lifecycle, and their integration in software products is essential. Familiarity with test frameworks, CI/CD pipelines, and telemetry tools, along with experience in test analytics, coverage tracking, impact-based testing, and test optimization, are required. Strong analytical, communication, and stakeholder management skills are necessary, as well as exposure to agile methodologies and tools. Experience with or the development of developer/tester tools, along with exposure to GenAI, LLMs, or NLP-driven test automation, will be considered advantageous.,

You are a highly experienced Principal Solution Architect responsible for leading the design, development, and implementation of sophisticated cloud-based data solutions for key clients. With deep technical expertise in multiple cloud platforms such as AWS, Azure, and GCP, as well as modern data technologies, your role is pivotal in shaping data strategies, driving innovation through GenAI and LLMs, and ensuring successful delivery of complex data projects across various industries. Your key responsibilities include leading the architecture and design of robust, scalable, and secure enterprise-grade data solutions like data lakes, data warehouses, data mesh, and real-time data pipelines on AWS, Azure, and GCP. Additionally, you will collaborate closely with clients to understand their business challenges, translate requirements into technical solutions, and present compelling data strategies. Supporting pre-sales activities, including proposal development and solution demonstrations, is also a crucial aspect of your role. Furthermore, you are expected to drive data and analytics modernization initiatives by leveraging cloud-native services, Big Data technologies, GenAI, and LLMs to deliver transformative business value. Applying data architecture best practices across various industries such as BFSI, Retail, Supply Chain, and Manufacturing is also a key part of your responsibilities. To qualify for this position, you should have at least 10 years of experience in IT, focusing on data architecture, solution architecture, and data engineering, with proven experience in a principal-level or lead architect role. Deep, hands-on experience with major cloud platforms like Azure (Microsoft Fabric, Data Lake, Power BI, Data Factory, Azure Purview) and GCP (Big Query, Vertex.AI, Gemini) is essential. Additionally, you should have expertise in integrating AI/ML capabilities, including GenAI and LLMs, into data solutions, strong leadership and communication skills, exceptional problem-solving abilities, and a Bachelor's or Master's degree in computer science, engineering, information technology, or a related field. Preferred qualifications include relevant certifications in AWS, Azure, GCP, Snowflake, or Databricks, as well as experience with Agentic AI and hyper-intelligent automation.,

Acronotics Limited specializes in the application of human intelligence to develop cutting-edge robotic automation and artificial intelligence solutions. We focus on modern-age automation technologies such as RPA & AI to build transformative solutions for our clients. Our mission is to assist clients in designing, developing, implementing, and running game-changing AI and robotic automation solutions. Based out of Bengaluru, we are a team of automation & AI engineers, designers, consultants, and thought leaders, dedicated to driving innovation with our flagship product, Radium AI, which automates bot monitoring and support activities. This is a full-time on-site role located in Bengaluru for a Finance Business Analyst (AI + KPI Translation). The Finance Business Analyst will be responsible for conducting business analysis, understanding business requirements, analyzing key performance indicators (KPIs), and translating these into actionable insights powered by AI. The Finance BA will bridge the gap between our client's finance function and our AI technical team. You will understand financial KPIs, reporting logic, and analytical needs and work with AI engineers to translate them into natural language queries and ensure meaningful AI outputs. Key Responsibilities: - Work with finance leadership to map KPIs, reports, and dashboards into AI-ready formats. - Translate user stories into prompt flows and test cases. - Review LLM responses for financial correctness and context. - Identify critical business queries that demonstrate AI value vs traditional BI. - Help create a repository of validated questions and expected answers. Requirements: - 5+ years in a finance or FP&A role (preferably as a finance BA in an IT Services company). - Understanding of BI tools (Power BI) and experience with finance KPIs. - Strong written and analytical communication skills. - Exposure to GenAI tools or natural language analytics preferred.,

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Noida Location-3rd Aug 2025(Sunday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Noida Date of drive- 3rd Aug 2025(Sunday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

As a Senior AI Architect at Dailoqa, you will play a pivotal role in shaping, designing, and delivering agentic AI solutions that drive real-world business value. You will collaborate with business and technology stakeholders, lead cross-functional teams, and ensure our AI architectures are robust, scalable, and aligned with our vision of combined intelligence and financial inclusion. Agentic AI Solution Design: Collaborate with stakeholders to identify high-impact agentic AI use cases, define success metrics, and determine data requirements tailored to Financial Services clients. Architect and oversee the implementation of end-to-end agentic AI solutions aligned with Dailoqa's strategic objectives and client needs. Leadership & Cross-Functional Collaboration: Lead and mentor cross-functional teams in the development and deployment of scalable agentic AI applications and infrastructures. Work closely with business stakeholders to translate complex requirements into actionable AI architecture and technical roadmaps. Technology Evaluation & Governance: Evaluate, recommend, and integrate advanced AI/ML platforms, frameworks, and technologies that enable agentic AI capabilities. Develop and enforce AI governance frameworks, best practices, and ethical standards, ensuring compliance with industry regulations and responsible AI principles. Performance Optimization & Continuous Improvement: Optimize AI models for performance, scalability, and efficiency, leveraging cloud-native and distributed computing resources. Stay ahead of emerging trends in agentic AI, machine learning, and data science, applying new insights to enhance solution quality and business impact. Technical Leadership & Talent Development: Provide technical leadership, mentorship, and code review for junior and peer team members. Participate in the hiring, onboarding, and development of AI talent, fostering a culture of innovation and excellence. Lead sprint planning, technical assessments, and ensure high standards in code quality and solution delivery. Required Qualifications: - 15+ years of Total experience. 8+ years in machine learning, and data science and more recent experience (4-5 yrs) in gen AI models applying AI to practical, comprehensive technology solutions and AI Consultancy. - Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns. - Experience in implementing GenAI, NLP, computer vision, or other AI frameworks/technologies. Tools & Technology: - LLMs and implementing RAG or different prompt strategies. - Azure OpenAI, Off the shelf Platform native AI tools and Models. - Knowledge of ML pipeline orchestration tools. - Experienced in python; ideally working knowledge of various supporting packages. - Experience in REST API development, NoSQL database design, and RDBMS design and optimizations. - Strong experience in Data engineering and aligned Hyperscale Platforms e.g. Databricks, Synapse, Fivetran etc. Education and Others Skills: - Master's or Ph.D. in Computer Science, Data Science, or related field. - Extensive experience with modern AI frameworks, cloud platforms, and big data technologies. - Strong background in designing and implementing AI solutions for enterprise-level applications. - Proven ability to lead and mentor technical teams. - Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical audiences. - Deep understanding of AI ethics and responsible AI practices. Working at Dailoqa will provide you with an opportunity to be part of a dynamic and innovative team that values collaboration, innovation, and continuous learning. If you are proactive, adaptable, and passionate about leveraging AI to solve real-world challenges in the financial services industry, then this role might be the perfect fit for you.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 16+ years of hands-on experience are required for this role. **Required Skills** - 15 years of relevant experience in pharma & life sciences analytics, with knowledge of industry trends, regulations, and challenges. - Proven track record of working within the pharma and life sciences domain, addressing industry-specific issues and leveraging domain knowledge to drive results. - Knowledge of drug development processes, clinical trials, regulatory compliance, market access strategies, and commercial operations. - Strong knowledge of healthcare industry trends, regulations, and challenges. - Proficiency in data analysis and statistical modeling techniques. - Good knowledge of statistics, Data analysis hypothesis testing, and preparation for machine learning use cases. - Expertise in GenAI, AI/ML, and data engineering. - Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib). - Familiarity with programming in SQL and Python/Pyspark to guide teams. - Familiarity with visualization tools for e.g.: Tableau, PowerBI, AWS QuickSight etc. - Excellent problem-solving and critical-thinking abilities. - Strong communication and presentation skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders. - Leadership skills, with the ability to manage and mentor a team. - Project management skills, with the ability to prioritize tasks and meet deadlines. **Responsibilities** - Lead and manage the pharma life sciences analytics team, providing guidance, mentorship, and support to team members. - Collaborate with cross-functional teams to identify business challenges and develop data-driven solutions tailored to the pharma and life sciences sector. - Leverage in-depth domain knowledge across the pharma life sciences value chain, including R&D, drug manufacturing, commercial, pricing, product planning, product launch, market access, and revenue management. - Utilize data science, GenAI, AI/ML, and data engineering tools to extract, transform, and analyze data, generating insights and actionable recommendations. - Develop and implement statistical models and predictive analytics to support decision-making and improve healthcare outcomes. - Stay up-to-date with industry trends, regulations, and best practices, ensuring compliance and driving innovation. - Present findings and recommendations to clients and internal stakeholders, effectively communicating complex concepts in a clear and concise manner. - Collaborate with clients to understand their business objectives and develop customized analytics solutions to meet their needs. - Manage multiple projects simultaneously, ensuring timely delivery and high-quality results. - Continuously evaluate and improve analytics processes and methodologies, driving efficiency and effectiveness. - Stay informed about emerging technologies and advancements in pharma life sciences space, identifying opportunities for innovation and growth to provide thought leadership and subject matter expertise. **Professional And Educational Background** BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA,

You should have 15 to 18 years of experience and be based in Chennai. Your responsibilities will include managing service desk operations, demonstrating expertise in ITSM and automation tools, possessing a strong understanding of ITIL processes, identifying process gaps in service desk operations and recommending solutions, incorporating AI technologies to modernize the ServiceDesk, showcasing transformation initiatives to customers in the service desk and automation domain, and having knowledge in both application and infrastructure automation, particularly in GenAI related automation.,