7846 Artificial Intelligence Jobs - Page 34

Job Title: Chief Architect / Principal Architect - AI & Digital Solutions (Leadership Role Pre-sales) Location: Chennai / Pune / Noida / Bangalore / Hyderabad About the Role: We are seeking a visionary Chief Architect / Principal Architect with a strong leadership focus, who brings deep expertise in AI, Cloud, and Enterprise Architecture combined with a strategic mindset for pre-sales and solution consulting . This dual-role position is perfect for a seasoned technologist who thrives at the intersection of AI/ML, Agentic AI, RAG, MLOps, Data Engineering, Cloud Architecture , and digital transformation consulting . You will not only define the strategic vision and architecture of next-generation platforms but also lead and scale pre-sales engagementscrafting compelling solutions, engaging with customers, and converting opportunities into tangible outcomes. Key Responsibilities: Lead the architecture and design of AI-driven platforms, Agentic AI solutions, and cloud-native enterprise applications . Architect and oversee the development of scalable LLM-based chatbot solutions, Knowledge Management AI systems, and RAG pipelines . Design secure and efficient cloud architectures with deep expertise in Azure, AWS, or GCP . Drive innovation through hands-on prototyping, PoCs, and feasibility analysis of Generative AI models, multi-LLM integration, and LangGraph workflows . Collaborate with cross-functional teams, including Product, Data Science, DevOps, and Engineering , to align AI solutions with business goals. Provide technical leadership in IT strategy for startups , advising on AI adoption, cloud transformation , and scalable product architectures . Lead and manage the pre-sales team for digital transformation projects , working closely with sales, marketing, and delivery teams to create customized solutions, present proposals, build client trust, and accelerate business growth. Respond to RFPs, create reusable solution accelerators, and design end-to-end architectures for client demos and strategic pursuits. Participate in client workshops, understand pain points, and translate business needs into actionable technical roadmaps. Head the Architecture practice and provide executive leadership , establishing frameworks, best practices, and governance for enterprise-wide technology strategy. Key Qualifications: 15+ years of experience in software architecture, cloud computing, and AI/ML-driven solutions . Strong background in DevOps, CI/CD , and cloud-native architectures (Azure, AWS, GCP) . Experience in designing and deploying secure, scalable, and cost-optimized data platforms . Deep knowledge of enterprise AI solutions, chatbot development, and AI-powered process automation . Strong leadership and communication skills, with a track record of mentoring teams and driving architectural excellence. Experience working with startups or innovation labs to build and scale AI-driven products. Extensive experience in product development across B2C and B2B domains ; experience in the Payment Domain will be a plus. Proven success in cloud migration, modernization initiatives , and building secure authentication flows using OAuth2, SAML2 , and social logins . Expertise in integrating complex systems using ETL pipelines, Queuing solutions , and Enterprise Integration products . Demonstrated ability to balance strategic oversight with hands-on technical execution . Why Join Us? Competitive Compensation: We offer industry-leading salaries that reflect your expertise and contributions. Dynamic Work Culture: Experience a flat organizational structure with flexible work arrangements, including remote work options, fostering autonomy and collaboration. Professional Development: Benefit from sponsored training, attendance at industry events, and educational conferences to enhance your skills and stay ahead in AI and cloud technologies. Wellness Programs: Participate in initiatives designed to support your physical and mental well-being, ensuring a balanced work-life experience. Inclusive Environment: Join a team that values diversity and provides equal opportunities for all employees, fostering a culture of innovation and respect. Corporate Social Responsibility: Engage in meaningful projects that give back to the community, such as collaborations with esteemed organizations. Empowerment Initiatives: Take advantage of programs supporting professionals resuming their careers with flexible work options. Be part of a proven leadership team that champions code quality, design congruence, and innovation , helping you grow in both technical and leadership dimensions . At Aziro Technologies, we are committed to fostering an environment where innovation thrives, and employees are empowered to excel in their careers. If you are a hands-on architect who thrives in AI, cloud, and enterprise transformation, and want to climb the leadership ladder , wed love to connect!

Job Description The Oracle Health Applications & Infrastructure team focuses on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. At Oracle Health, our mission is to improve healthcare and quality of life globally through better experience and easier access to health and research data for patients and healthcare providers. We are looking for hands-on engineers with expertise and passion in solving difficult problems in all areas of software engineering: distributed systems, identity, security, observability, and user experience. This is an opportunity to design and build Agentic AI based cloud centric applications. You will be part of a team of smart, motivated, diverse people, and given autonomy as well as support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. Who are we looking for? We are seeking hands-on a Consulting Member of Technical Staff (CMTS) who shares our passion and excitement of operating distributed systems at hyper scale using cloud native best practices. You will have part in the disruption of the health care industry and will help deliver better patient care. As a CMTS on our team, youll be responsible and lead efforts in designing and building scalable, distributed, and resilient software components and services to support health care platform in Provider Reimbursement area. We believe in ownership and expect you to think long term, mentor, and empower other engineers. As an architect you will own the complete SDLC from architecture, development, testing, first class monitoring, to production. Responsibilities: Bachelors degree in computer science or related field (Master’s preferred) 12+ years distributed service engineering experience in a software development environment Development experience in Java / J2EE / Messaging / Design Patterns Strong expertise and deeper knowledge in Spring / Micronaut Framework Expertise in scaling and improving performance of solutions to support growing needs of concurrent users. Hands-on experience designing, developing, and operating public cloud services Deep understanding of object-oriented design and SDK development, specifically within a cloud environment Experience working closely with architects, principals, product and program managers to deliver product features on time and with high quality. Good knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Strong understanding of challenges related to scalability, latency and potential optimizations for both the application and database (Oracle) tiers. Experience with containers and container orchestration technologies Good understanding of databases, storage and distributed persistence technologies. Expert in HTML5 and CSS3, including CSS preprocessors. Experience with large Single Page Applications with complex state management. Experience with backend services using REST APIs Strong experience with responsive design and development, ensuring seamless experiences across various devices and screen sizes. Lead and direct architecture discussions, design sessions and code reviews for functional correctness, architectural maintainability, and performance. Partner with strategy and solution teams as technology expert to provide recommendations. Estimate effort for current and future projects of medium to large scope. Assess risks, identify ways to address them and provide right directions to the agile teams Basic understanding and knowledge on AI / ML specifically on Agentic AI. Demonstrable technical leadership and mentorship skills Experience with Cloud Engineering Infrastructure Development Demonstrated knowledge of OCI or AWS, Azure, GCP, Public Cloud SaaS, PaaS Services and/or related technology Preferred Qualifications: Experience in the healthcare industry and / or electronic medical records systems. Hands-on experience developing services on a public cloud platform (e.g., AWS, Azure, GCP) Experience driving security reviews, documentation, UX reviews, and working with Product Managers from inception through launch Experience and understanding of multi-AD/AZ and regional data centers Building continuous integration/deployment pipelines with robust testing and deployment schedules FedRAMP, PCI DSS, or similar compliance and auditing experience Expertise in applying threat modelling or other risk identification techniques to develop security solutions

The Global Solution Engineer - Advanced Chemical Engineer - Operations role offers you the opportunity to be a part of the world-class 24*7 Global Solution Control and Command Center (GSCCC) in Gurgaon, India. You will play a crucial role in transforming the UOP LST Connected Solutions by leveraging your Technical Analytical Data Science, Machine learning, and business knowledge skills to extract technical insights from live operating data of customers. Your work in developing technical insights will define the UOP Customer Experience and mark a significant milestone in your career. As a Global Solution Engineer, you will collaborate with a network of technical professionals to deliver exceptional technical insights that drive Customer Value. Your responsibilities will include reviewing operations with customers, identifying areas for improvement and optimization in UOP technologies processes, and providing technical solutions promptly. You will proactively communicate insights, troubleshoot solutions, and apply data mining techniques to derive technical insights from unstructured data. Moreover, you will be involved in performing descriptive and inferential statistics, analyzing historical data, and designing and developing pipelines to support products, systems, and solutions. Innovation will be a key aspect of your role as you work on next-generation BIG DATA monitoring tools and operation dashboards using Analytics, Artificial Intelligence, and Machine Learning. Aligning with the Intention of the LST Business and ensuring collective commitment to the GSC's Key results will be essential. This position requires you to have experience in designing/operating UOP Technology units, effective communication skills, and a passion for visualizing hidden relationships in technical data. A BS degree in Chemical Engineering is a basic qualification for this role. Additionally, being flexible to work in a 24*7 shift, having strong analytical skills, and a continuous learning mindset are crucial attributes for success in this role. Join us in this exciting opportunity to contribute to the success of the GSCCC Digital Insight operations and work towards making GSC a Center of Excellence.,

As an RPA Developer, you will be expected to have experience in programming languages such as C, C++, Java, or .NET, along with proficiency in scripting languages like JavaScript and HTML. Additionally, familiarity with SQL and NoSQL databases is required. A basic understanding of Machine Learning (ML) and Artificial Intelligence (AI) concepts, as well as knowledge of workflow processes, is essential for this role. Your responsibilities will include analyzing business process requirements, collaborating with both business and technology teams to evaluate automation feasibility, and configuring automation processes based on Solution Design Documents. You will be tasked with developing codes to align with the defined design and solution approach, while ensuring the quality of coded components through end-to-end unit testing. As an RPA Developer, you should possess strong logical, analytical, and problem-solving skills. The ability to work on multiple RPA projects simultaneously is also expected. Expertise in RPA tools such as UiPath, Automation Anywhere, Blue Prism, and Abby Flexi capture is highly desirable for this role.,

We're Hiring: AI/ML Platform Lead Are you passionate about driving cutting-edge AI and machine learning initiatives? Join as an AI/ML Platform Lead and lead the future of intelligent data solutions! Job Description & Requirements: Were looking for a dynamic professional with: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Hands-on experience with platforms such as Dataiku, Azure ML, Azure AI, Foundry , and other related systems Strong knowledge of Agile methodologies , DevOps practices , and CI/CD pipeline management Exceptional ability to manage multiple priorities in a fast-paced, dynamic environment Proven leadership skills in guiding cross-functional teams and leading large-scale tech initiatives Experience with Agile methodologies is a plus Interested? Send your CV to admin@spearheadps.com or reach out via WhatsApp- 9899080360 for more details!

Job Opening: Generative AI & LLMs / Distinguished Gen AI Engineer Location: Remote Experience: 8+ years 8+ years in data science or AI, with hands-on with LLMs or Gen AI in production settings. share resume to sandhya@welkinsofttrech.com

Role & responsibilities Building a Prompt Engineers Team requires a thoughtful approach that balances technical expertise, domain knowledge, and creativity. Heres a step-by-step plan to help you build an effective team: Step-by-Step Guide to Building a Prompt Engineering Team 1. Define the Purpose and Scope Start with clarity on: • Why you need a prompt engineering team (e.g., to improve chatbot accuracy, optimize RAG pipelines, generate content, automate processes). • Where prompts will be applied (e.g., customer support, legal research, code generation, marketing content). • What models/tools youre using (e.g., OpenAI GPT-4, Claude, Mistral, LangChain, LlamaIndex, Pinecone, etc.). 2. Identify Key Roles to Hire You dont need only prompt writers — build a balanced team. Typical roles include: Core Prompt Engineers • Focused on crafting, testing, and refining prompts • Excellent with language, logic, and experimentation NLP/LLM Engineers • Technical experts who understand model internals, fine-tuning, embeddings, and vector search • Useful if you’re building complex RAG or multi-agent systems Creative Writers or UX Writers (Optional) • Can write natural, engaging, or persuasive prompts especially for customer-facing apps or content generation Evaluation & QA Specialists • Test prompt outputs for accuracy, bias, safety, and relevance • Help benchmark performance 3. Create a Hiring Strategy Look for Candidates Who: • Understand LLM behavior and limitations • Have experience with OpenAI, Claude, or open-source models • Are comfortable with both creative writing and logical reasoning • Can iterate based on output quality Where to Find Them: • AI/NLP communities on Twitter, Discord (e.g., EleutherAI, LangChain) • LinkedIn with filters like: “Prompt Engineer,” “LLM Developer,” “NLP Engineer” • Platforms like GitHub (search AI prompt repositories), Kaggle, Upwork, Toptal 4. Set Up Your Tech Stack Equip the team with: • LLM Access: OpenAI API, Anthropic, HuggingFace, Cohere • Prompt Testing Tools: PromptLayer, LangSmith, PromptPerfect, Flowise • RAG Stack (if needed): LangChain, LlamaIndex, Chroma, Weaviate, Pinecone • Version Control: GitHub + prompt libraries • Prompt Analytics/Logging: To track changes, feedback loops, hallucinations, and success rates 5. Define a Workflow • Prompt Design Test Evaluate Refine Deploy Monitor • Use prompt templates (Few-shot, Chain-of-Thought, ReAct, etc.) • Implement CI for prompt validation if prompts are part of codebase 6. Build a Knowledge Base Document: • Prompt templates and examples • What works well (prompt tuning guides) • Failure cases and anti-patterns • Team learnings, A/B test results, and prompt libraries 7. Encourage Experimentation LLMs are probabilistic — experimentation is critical. Create a culture where: • Engineers test various prompt formats and model behaviors • Insights are shared internally • Prompt quality is benchmarked over time Preferred candidate profile Bonus: Team Composition Example (Startup Scale) Role Count Notes Prompt Engineer 2 NLP-aware, skilled with prompt design & LLMs NLP/LLM Developer 1 Can build pipelines, evaluate embeddings, tune models QA / Evaluator 1 Reviews and scores AI output for relevance, tone, accuracy Creative Writer (Optional) 1 Especially useful for marketing, support, or storytelling prompts Final Tip: Your first hires should be T-shaped people – with deep LLM experience but broad enough to collaborate across engineering, product, and UX.

Responsibilities: * Lead AI strategy development & implementation * Collaborate with cross-functional teams on ML initiatives * Design, architect & optimize AI solutions using latest techs Work Location - Remote Clients - Saudi Arabia Health insurance Annual bonus

Career Category Information Systems Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human data to push beyond what s known today. ABOUT THE ROLE Let s do this. Let s change the world. At Amgen, we believe that innovation can and should be happening across the entire company. Part of the Artificial Intelligence & Data function of the Amgen Technology and Medical Organizations (ATMOS), the AI & Data Innovation Lab (the Lab) is a center for exploration and innovation, focused on integrating and accelerating new technologies and methods that deliver measurable value and competitive advantage. We ve built algorithms that predict bone fractures in patients who haven t even been diagnosed with osteoporosis yet. We ve built software to help us select clinical trial sites so we can get medicines to patients faster. We ve built AI capabilities to standardize and accelerate the authoring of regulatory documents so we can shorten the drug approval cycle. And that s just a part of the beginning. Join us! We are seeking a Senior DevOps Software Engineer to join the Lab s software engineering practice. This role is integral to developing top-tier talent, setting engineering best practices, and evangelizing full-stack development capabilities across the organization. The Senior DevOps Software Engineer will design and implement deployment strategies for AI systems using the AWS stack, ensuring high availability, performance, and scalability of applications. Roles & Responsibilities: Design and implement deployment strategies using the AWS stack, including EKS, ECS, Lambda, SageMaker, and DynamoDB. Configure and manage CI/CD pipelines in GitLab to streamline the deployment process. Develop, deploy, and manage scalable applications on AWS, ensuring they meet high standards for availability and performance. Implement infrastructure-as-code (IaC) to provision and manage cloud resources consistently and reproducibly. Collaborate with AI product design and development teams to ensure seamless integration of AI models into the infrastructure. Monitor and optimize the performance of deployed AI systems, addressing any issues related to scaling, availability, and performance. Lead and develop standards, processes, and best practices for the team across the AI system deployment lifecycle. Stay updated on emerging technologies and best practices in AI infrastructure and AWS services to continuously improve deployment strategies. Familiarity with AI concepts such as traditional AI, generative AI, and agentic AI, with the ability to learn and adopt new skills quickly. Functional Skills: Deep expertise in designing and maintaining CI/CD pipelines and enabling software engineering best practices and overall software product development lifecycle. Ability to implement automated testing, build, deployment, and rollback strategies. Advanced proficiency managing and deploying infrastructure with the AWS cloud platform, including cost planning, tracking and optimization. Proficiency with backend languages and frameworks (Python, FastAPI, Flask preferred). Experience with databases (Postgres/DynamoDB) Experience with microservices architecture and containerization (Docker, Kubernetes). Good-to-Have Skills: Familiarity with enterprise software systems in life sciences or healthcare domains. Familiarity with big data platforms and experience in data pipeline development (Databricks, Spark). Knowledge of data security, privacy regulations, and scalable software solutions. Soft Skills: Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Basic Qualifications: Bachelor s degree in Computer Science, AI, Software Engineering, or related field. 8+ years of experience in full-stack software engineering.

We are seeking a highly skilled and experienced Principal AI Solution Architect to join our dynamic team. The candidate will lead the AI Solutioning and Designing across Enterprise Teams and cross-functional teams. They will primarily be working with the MDM CoE to lead and drive AI solutions and optimizations and also provide thought leadership. The role involves developing and implementing AI strategies, collaborating with cross-functional teams, and ensuring the scalability, reliability, and performance of AI solutions. To succeed in this role, the candidate must have strong AI/ML, Data Science , GenAI experience along with MDM knowledg . Candidate must have AI/ML, data science and GenAI experience on technologies like ( PySpark / PyTorch , TensorFlow, LLM , Autogen , Hugging FaceVectorDB , Embeddings, RAGs etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Lead the Designing, solutioning and development of enterprise-level GenAI applications using LLM frameworks such as Langchain , Autogen , and Hugging Face. Architect intelligent pipelines using PySpark , TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Master s degree with 11 - 1 4 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Bachelor s degree with 1 5 - 16 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Diploma with 1 7 - 1 8 years of hands-on experience in Data Science, AI/ML technologies, or related technical domains Functional Skills: Must-Have Skills: 1 4 + years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain , Autogen , Hugging Face, OpenAI APIs, and embedding models. Expertise in AI/ML solution architecture and design , knowledge of industry best practices Experience desining GenAI based solutions using Databricks platform Hands-on experience with Python, PySpark , PyTorch , LLMs, Vector DB, Embeddings, SciKit , Langchain , SK-learn, Tensorflow , APIs, Autogen , VectorStores , MongoDB, DataBricks , Django Strong knowledge of AWS and cloud-based AI infrastructure Excellent problem-solving skills Strong communication and leadership skills Ability to collaborate effectively with cross-functional teams and stakeholders Experience in managing and mentoring junior team members Must be able to p rovide thought leadership to the junior team members Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores , and modern architecture principles for scalable GenAI applications. Professional Certifications : Any Data Analysis certification (SQL , Python, Other DBs or Programming languages ) Any cloud certification (AWS or AZURE) Data Science and ML Certification s Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

We are seeking an accomplished and visionary Data Scientist/ GenAI Lead to join Amgen s Enterprise Data Management team. As MDM Data Science/Manager, you will lead the design, development, and deployment of Generative AI and ML models to power data-driven decisions across business domains. This role is ideal for an AI practitioner who thrives in a collaborative environment and brings a strategic mindset to applying advanced AI techniques to solve real-world problems. To succeed in this role, the candidate must have strong AI/ML, Data Science , GenAI experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have AI/ML, data science and GenAI experience on technologies like ( PySpark / PyTorch , TensorFlow, LLM , Autogen , Hugging FaceVectorDB , Embeddings, RAGs etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Drive development of enterprise-level GenAI applications using LLM frameworks such as Langchain , Autogen , and Hugging Face. Architect intelligent pipelines using PySpark , TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Master s degree with 8 - 10 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Bachelor s degree with 10 - 14 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Diploma with 14 - 16 years of hands-on experience in Data Science, AI/ML technologies, or related technical domains Functional Skills: Must-Have Skills: 10+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain , Autogen , Hugging Face, OpenAI APIs, and embedding models. Strong programming background with Python, PySpark , and experience in building scalable solutions using TensorFlow, PyTorch , and SK-Learn. Proven track record of building and deploying AI/ML applications in cloud environments such as AWS. Expertise in developing APIs, automation pipelines, and serving GenAI models using frameworks like Django, FastAPI , and DataBricks . Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance best practices. Guide the team on development activities and lead the solution discussions Must have core technical capabilities in GenAI , Data Science space Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores , and modern architecture principles for scalable GenAI applications. Professional Certifications : Any ETL certification ( e.g. Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Data Science and ML Certification Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

Let s do this. Let s change the world. In this vital role you will require expertise in biopharma scientific domains as well as compute systems solution delivery. Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Provide domain expertise for Research Advanced Scientific Computing within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Serve as a liaison between Global Technology functional areas and Global Research scientists, prioritizing their needs and expectations Create functional analytics dashboards and fit-for-purposes applications for progress tracking and performance measurements (e.g. PowerBI, Tableau, Spotfire) Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific compute systems operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The ideal candidate will have a strong background in the end-to-end infrastructure DevOps lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree with 8 to 13 years of experience in Information Systems Preferred Qualifications: BS, MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering 3+ years of experience in implementing and supporting biopharma scientific computing environments or systems Functional Skills: Must-Have Skills: Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Excellent communication skills and experience creating impactful slide decks with data Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team Familiarity with scientific compute applications like cheminformatics, bioinformatics, structural biology and molecular modelling tools including Schrodinger, Cryosparc, GROMACS Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Familiarity with documentations, specifications, pricing estimates for cloud (e.g. AWS) and on-premise compute infrastructure including compute (e.g. EC2) and storage (e.g. S3) components Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High Performance Compute (HPC) environments and clusters (e.g SLURM, Kubernetes) Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Ability to deliver features meeting research user demands using Agile methodology An ongoing commitment to learning and staying at the forefront of AI/ML advancements. We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment. Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) SAFe Scrum Master or similar (preferred) Soft Skills: Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative, self-motivation and learning agility Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Roles and Responsibilities Design and develop technical architecture for large-scale data processing pipelines using Snowflake, AWS, and Azure. Develop high-quality code in Python, Java, or other languages as required by the project. Ensure scalability, reliability, and performance of deployed systems through testing and monitoring. Participate in code reviews to maintain coding standards and best practices. Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Desired Candidate Profile 7-12 years of experience in architecting large-scale data processing systems on cloud platforms (AWS/Azure). Strong understanding of artificial intelligence/machine learning concepts and their application in real-world scenarios. Experience with big data technologies such as Spark, Kafka, Hadoop; streaming analytics tools like PubSub/Kinesis; messaging queues like RabbitMQ/Kafka.

Let s do this. Let s change the world. We are seeking a Associate Director of ML / AI Engineering to lead Amgen India s AI engineering practice. This role is integral to developing top-tier talent, setting ML / AI best practices, and evangelizing ML / AI Engineering capabilities across the organization. The Associate Director will be responsible for driving the successful delivery of strategic business initiatives by overseeing the technical architecture, managing talent, and establishing a culture of excellence in ML / AI The key aspects of this role involve : (1) prior hands-on experience building ML and AI solutions (2) management experience in leading ML / AI engineering team and talent development (3) Delivering AI initiatives at enterprise scale Roles & Responsibilities: Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship. Recruitment & Team Expansion: Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development and build a diverse and inclusive team that drives innovation, aligns with Amgens culture and values, and delivers business priorities Organizational Leadership: Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions Create and implement a strategy for expanding the AI/ML engineering team, including recruitment, onboarding, and talent development. Oversee the end-to-end lifecycle of AI/ML projects, from concept and design through to deployment and optimization, ensuring timely and successful delivery. Ensure adoption of ML-Ops best practices, including model versioning, testing, deployment, and monitoring. Collaborate with multi-functional teams, including product, data science, and software engineering, to find opportunities and deliver AI/ML solutions that drive business value. Serve as an AI/ML evangelist across the organization, promoting awareness and understanding of the capabilities and value of AI/ML technologies. Promote a culture of innovation and continuous learning within the team, encouraging the exploration of new tools, technologies, and methodologies. Provide technical leadership and mentorship, guiding engineers in implementing scalable and robust AI/ML systems. Work closely with collaborators to prioritize AI/ML projects and ensure timely delivery of key initiatives. Lead innovation initiatives to explore new AI/ML technologies, platforms, and tools that can drive further advancements in the organization s AI capabilities. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master s degree and 12 to 14 years of computer science, Artificial Intelligence, Machine Learning experience OR Bachelor s degree and 14 to 18 years of computer science, Artificial Intelligence, Machine Learning experience OR Diploma and 18 to 20 years of computer science, Artificial Intelligence, Machine Learning experience Preferred Qualifications: Experience in building AI Platforms & applications at enterprise scale Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Hands-on experience with LLMs, Generative AI, and NLP (e.g., GPT, BERT, Llama, Claude, Mistral AI ) Strong understanding of MLOps processes and tools such as MLflow, Kubeflow, or similar platforms. Proficient in programming languages such as Python, R, or Scala. Experience deploying AI/ML models in cloud environments (AWS, Azure, or Google Cloud). Proven track record of managing and delivering AI/ML projects at scale. Excellent project management skills, with the ability to lead multi-functional teams and manage multiple priorities. Experience in regulated industries, preferably life sciences and pharma Good-to-Have Skills: Experience with natural language processing, computer vision, or reinforcement learning. Knowledge of data governance, privacy regulations, and ethical AI considerations. Experience with cloud-native AI/ML services (Databricks, AWS, Azure ML, Google AI Platforms) Experience with AI Observability Professional Certifications (Preferred): Google Professional Machine Learning Engineer, AWS Certified Machine Learning, or Azure AI Engineer Associate, Databricks Certified Generative AI Engineer Associate Soft Skills: Excellent leadership and communication skills, with the ability to convey complex technical concepts to non-technical collaborators. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Ability to mentor and develop team members, promoting their growth and success. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen s Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization. You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment. Key Responsibilities Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others. Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc. Develop and maintain evaluation metrics and frameworks for prompt engineering. Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases. Build retrieval algorithms for relevant data identification to support LLMs and AI applications. Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture. Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI. Share insights and findings with team members in an Agile (SAFe) environment. What we expect of you Basic Qualifications: Master s degree and 2 - 4 years of experience in Software Engineering, Data Science, or ML Engineering or Bachelor s degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering or Diploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering Preferred Qualifications: Experience in developing and deploying LLM applications. Strong foundation in ML algorithms, data science workflows, and NLP. Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control). Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks. Understanding of RESTful APIs and frameworks like FastAPI. Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash). Knowledge of GxP compliance and experience working in regulated environments. Strong communication skills with the ability to explain complex topics to diverse audiences. High degree of initiative, self-motivation, and ability to work in global teams. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way.

2 - 11 Years Full Time Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background : Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. ? Experience : 2 - 11 Years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required Generative AI : Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning : Algorithms, Deep Learning, Neural Networks Programming : Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow MLOps : Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) ? Data Engineering : Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: BRING YOUR PASSION AND FUN . Corporate culture woven from highly diverse perspectives and insights. BALANCE WORK AND PERSONAL TIME LIKE A BOSS . Resources and flexibility to more easily integrate your work and your life. BECOME A CERTIFIED SMARTY PANTS . Ongoing training and development opportunities for even the most insatiable learner. START-UP SPIRIT (Good ten plus years, yet we maintain it) FLEXIBLE WORKING HOURS

We are seeking a highly skilled and experienced Senior Operations Engineer to manage and optimize our cloud infrastructure with a focus on Azure-based solutions . This role will involve daily ticket handling for access management, developing Azure functions and tooling, and ensuring the seamless operation of cloud environments. The ideal candidate will possess deep technical expertise in Azure, senior-level development skills, and a strong background in system administration and IT operations. Key Responsibilities : Cloud Administration & Management Oversee the provisioning, configuration, and maintenance of Azure cloud infrastructure to ensure optimal performance, scalability and security. Develop and maintain Azure functions and tools to enhance automation and streamline operational processes. Monitor cloud resources using advanced tools to identify performance bottlenecks and implement cost-saving measures. Access Management & Ticket Handling Handle daily tickets related to access management, ensuring compliance with organizational policies and security standards. Troubleshoot access-related issues promptly to minimize disruptions and maintain service quality. Collaborate with stakeholders to define access control policies that align with business requirements. Development & Tooling Design, develop, and deploy custom tools and scripts using Azure Functions to automate repetitive tasks and improve operational efficiency. Implement robust solutions for monitoring, reporting, and alerting across cloud environments. Work closely with development teams to integrate new tools into existing workflows while adhering to best practices. System Administration & IT Operations Perform system updates, patches, and configurations across cloud environments to ensure reliability and security. Conduct root cause analysis (RCA) for recurring incidents and implement preventive measures. Optimize system performance through proactive monitoring and advanced troubleshooting techniques. Collaboration & Knowledge Sharing Partner with cross-functional teams including development, IT, and architecture teams to evaluate new services based on requirements. Provide technical guidance on cloud best practices to internal teams while mentoring junior staff members. Maintain comprehensive documentation for operational processes, technical solutions, and troubleshooting guides. Required Skills & Qualifications : Experience in Azure cloud administration , including resource provisioning, security management, and automation tooling. Senior-level development skills with proficiency in scripting languages such as Python or PowerShell for Azure Functions. Strong expertise in system administration and IT operations with a focus on cloud environments. Deep knowledge of Azure services such as Azure Active Directory (AAD), Kubernetes Clusters (AKS), Networking (VNet), Storage Accounts, etc. Advanced problem-solving abilities with a focus on analytical troubleshooting of complex systems. Excellent communication skills for effective collaboration across teams. Preferred Qualifications : Certifications such as Microsoft Certified: Azure Solutions Architect Expert or Azure Administrator Associate are highly desirable. Experience with DevOps practices including CI/CD pipelines for cloud-based applications. What do we offer: Variable and Christmas bonus Hybrid type of work combination of work from home& work from office(telework / homeoffice) Flexible Working Hours Bridge days free extra paid leave 6 days per year 3 sick days per year (no doctors permit needed) In case of sickness 100% salary reimbursement 20 days/ year, this includes max. 10 days/ year for of family care Additional pension plan 300 EUR for regeneration of work force via cafeteria system Multisport Card employer's contribution of 10 EUR Recognition and Reward program Wellbeing program Psychological, Legal and Financial Councelling Family care program (subsidy for newborns, maternity leave, kindergardens, summer camps) Retention program (work anniversary, life anniversary, employee loans) Training and development program (business and product trainings, e-learning, language courses, soft skills trainings,) Adjustable standing desk as a standard Wide project portfolio in healthcare domain and job rotation within company (Cybersecurity, Artificial Intelligence, Healthcare IT services, ) Participation on world famous IT conferences like Microsoft IGNITE for best employees

Roles and Responsibilities Experienced technical writer for writing reports, recommendations and detailed analysis of deeply technical subjects in a way that can be explained. Standard Technical Writer profile with 5-7 years experience as the base requirement. To be sourced from the experienced Tech Writer community in Services or Product firms. Experience in writing product manuals, creating write ups for client proposal etc Experience in helping the corporate communication team in writing blogs and other communication write ups. Prior experience in working on Tech Report authoring in AI space will be an added advantage. Qualifications Required Bachelors degree (or equivalent) in journalism, communications, or relevant technical field Firm understanding of SDLC (systems development lifecycle) Previous experience in software development Professional certification (ex: Society for Technical Communication) Experience in using XML tools to create documentation Skills and Experience Required We are seeking an experienced Technical Writer with 5-7 years of expertise in crafting clear, concise, and comprehensive documentation for complex technical subjects. The ideal candidate will have a strong background in writing technical reports, client proposals, and product manuals, with a flair for translating intricate technical concepts into accessible content for diverse audiences. This role requires collaboration across product, engineering, and corporate communication teams to produce high-quality reports, recommendations, blogs, and internal/external communication materials. Experience in authoring technical documents in the AI/ML space will be a significant advantage.

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Document and communicate technicals pecifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 8-12 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required GenerativeAI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, Tensor Flow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: Opportunity to work on technical challenges with global impact. Vast opportunities for self-development, including online university access and sponsored certifications. Sponsored Tech Talks &Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.

Job Description We are looking for an experienced & creative Graphic Designer who will help us in design and develop creative materials to support marketing initiatives and campaigns and building high-end marketing collaterals. The candidate who can create visual communications to convey messages in an effective and aesthetically pleasing manner. This includes several tasks and responsibilities within the creative forte. Emphasis will be on designing customized static & video-based graphics, Power Point presentations, brochures, newsletters, microsites, and other marketing materials used to bring attention of the audience. Roles and Responsibility: Acts as a key contributor in operationalizing design strategies for Digital, Multimedia, and UI/UX. He/she would offer creative consultancy and suggest design and implementation of new and cutting-edge on-brand campaigns and visuals. Responsible for effectively creating storyboard layouts with animated infographic representations, appropriate use of colour, images and typography. Expertise in Photoshop, illustrator, InDesign, XD, Figma and After effect. Conceptualize & formulate creative themes, layout designs and presentation approach, and specify material details, such as style and size of type, photographs, graphics, animation, and video. Conceptualizes ideas for preparation of original art for storyboards and compositions. Must have a superior understanding of the fundamental concepts of graphic design principles. Maintains a high level of knowledge on tools and resources used by the firm and constantly evaluates new technologies and tools for adaptation into the team s work stream. Generate clear ideas, concepts, and designs of creative assets from beginning to end. Work collaboratively with other designers to ensure a consistent, integrated brand perception. Collaborate with a cross-functional team that includes senior management, sales, HR, Operations etc in order to create compelling designs Stay on top of the latest standards, processes, and trends in the visual design field. Manages wireframe design projects Desired Skills: Bachelor s in any disciple or graphic design field with a significant equivalent experience. Have 0-2 years of relevant experience. Excellent teamwork, communication (comprehend, verbal & written) and interpersonal skills with the ability to communicate and persuade Ability to work independently and under deadline pressure on several projects simultaneously. Drive the decision to choose an effective design and deliverable solution The ability to receive, interpret, and implement constructive feedback from project stakeholders into your design work. You have a team-oriented attitude and ability to contribute to design- and functionality- related marketing decision About CloudThat CloudThat is the first company in India to offer Cloud Training & Cloud Consultancy services for mid-market & enterprise clients from across the globe. Founded by Bhavesh Goswami, an ex-Amazonian with more than 17 years of experience in the Cloud Computing space, CloudThat has been empowering tech professionals with the best cloud training and cloud consulting services. With 11 years of Industry excellence under our belt, the journey in the Cloud space has won us many accolades, such as being the winners of the Microsoft Asia & India Superstars campaign for FY 23, Finalist of the prestigious Microsoft Learning Partner of the Year Awards 2022 and 2020. CloudThat is also a proud AWS Advanced Consulting Partner, AWS Advanced Tier Training Partner, VMware Authorized Training Reseller, Google Cloud Platform Partner, Microsoft Solutions Partner, and Databricks Partner. Since our inception in 2012, we have trained over 650K IT professionals from fortune 500 companies in different types of cloud computing technologies such as Microsoft Azure, Amazon Web Services, Artificial Intelligence, Machine Learning, Google Cloud Platform, IoT, OpenStack, and OpenShift, DevOps, MongoDB, Big Data and more. We have also delivered over 300 AWS consulting services to top companies in need of cloud solutions. We have a global presence with offices in Bengaluru (India), the UK, the USA and now in Bangladesh. Our on-site and pre-scheduled public batches are available in different IT-centric cities in India and Overseas.

Project Manager Your Responsibilities Manage and oversee international projects in the IT environment, ensuring high quality and compliance with relevant time and cost budgets. Plan, manage, and control project budgets, including forecasting, tracking, and reporting on financial performance to ensure projects deliver within approved financial parameters. Collaborate with security teams to ensure that all projects comply with relevant data protection and cybersecurity requirements. Support the IT teams transformation from an internal service provider to a business enabler, leveraging innovative technologies such as AI and advanced analytics. Drive the optimization of IT processes and IT infrastructure, incorporating best practices in automation and artificial intelligence (AI) where appropriate. Function as a key interface between our internal and external customers, ensuring effective communication and alignment of expectations. Manage the intake and assessment of customer requirements, and develop concepts for their implementation, considering security, compliance, and scalability. Lead product evaluations, company-specific customizations, and rollouts, ensuring adherence to security standards and best practices. Define, monitor, and report on Service Level Agreements (SLAs) and Key Performance Indicators (KPIs) to ensure continuous improvement and customer satisfaction. Your Profile Successfully completed degree in Computer Engineering or a comparable field. Strong, clear communication skills. Assertive, with a high level of initiative and willingness to shape and drive change. Collaborative, goal-oriented, and strategic working style. Confident in dealing with internal and external customers. At least 5 years of proven professional experience in IT project management. Project management certification (e.g., PMI, Prince2, or similar). Solid technical experience in IT infrastructure (network, server, cloud), with a strong understanding of security concepts and practices. Good knowledge of ITIL, with experience in managing SLAs and KPIs. Experience with AI technologies and their application in IT processes is a strong advantage. Familiarity with cybersecurity best practices and compliance requirements. Demonstrated expertise in budget management, including planning, estimating, tracking, controlling, and optimizing project budgets. Fluent in English (business proficiency). Desirable Skills: Experience with AI-driven IT solutions and automation. Proven history of managing security aspects of IT projects. Firsthand experience with SLA and KPI definition, monitoring, and reporting. Strong financial analysis, risk management, and decision-making skills related to project budgets. Ability to work in a dynamic, international environment, managing multiple stakeholders. Location- Bangalore Yrs of Exp-10+Yrs

Job Title: Senior AI Engineer GenAI & ML Solutions Location: Pune / Mumbai (Hybrid Work Model) Experience: 4 7 Years (Minimum 2 Years in AI Development) Industry: Credit Rating & Financial Analytics About Us: Join a leading global credit rating and financial analytics powerhouse where innovation meets finance! We leverage cutting-edge AI and analytics to deliver state of the art solutions. As we embark on our next growth phase, we re looking for a passionate AI Engineer to propel our AI capabilities into the future redefining how financial intelligence is powered and delivered. Why Join Us Be at the forefront of AI innovation in finance technology with exposure to next-gen GenAI techniques. Collaborate with dynamic global teams spanning finance, technology, and client solutions. Work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Opportunity to directly influence client-facing AI solutions impacting real-world business outcomes. Grow your career in an environment that champions best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms. What You ll Do: Develop and deploy advanced AI solutions using the latest Generative AI techniques including: Retrieval-Augmented Generation (RAG) pipelines. Designing and building Agentic AI systems to automate complex decision-making workflows. Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation. Build scalable AI workflows, adhering to robust engineering and code quality standards. Lead end-to-end AI solution development lifecycle from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP). Collaborate closely with cross-functional global teams financial analysts, technology architects, and client stakeholders to translate business challenges into AI-driven solutions. Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. What We re Looking For: Experience & Skills: 4 to 7 years of experience in software engineering/development with a minimum 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM. Strong programming skills in Python with a focus on clean, maintainable, and performant code. Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines. Having a public Github code repository or Kaggle profile will be a big plus. Solid understanding of data structures, algorithms, software design principles, and scalable system design. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus. Decent communication skills to effectively collaborate across global teams and handle client interactions. Self-driven, proactive mindset with a passion for problem-solving and innovation. Educational Background: - Bachelor s or Master s degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) in: - Computer Science - Any Engineering discipline - Mathematics or related quantitative fields.

Roles and Responsibilities Lead end-to-end business analysis efforts for strategic and cross-functional initiatives. Strong AI/ML technology exposure. Collaborate with business leaders, product managers, engineering, and design teams to shape product and platform solutions. Conduct enterprise-level requirement elicitation through stakeholder workshops, interviews, and data reviews. Translate high-level business needs into detailed business requirements, user stories, workflows, data mappings, and acceptance criteria. Own and manage Business Requirements Documents (BRDs), Functional Specs, and Process Documents. Lead grooming sessions and maintain traceability of requirements throughout the lifecycle. Drive process optimization through gap analysis, as-is/to-be modeling, and digital automation initiatives. Interface with solution architects and data teams to validate feasibility and alignment. Lead UAT planning, business sign-offs, and support deployment readiness. Qualifications Required Experience with cloud-based platforms (AWS, Azure), API integrations, and data models. Exposure to AI/ML-enabled platforms or decision-intelligence systems. Certifications: CBAP / PMI-PBA / Agile BA / SAFe Product Owner / Scrum Master. Experience in stakeholder training, change management, or workshop facilitation. Skills and Experience Required 6-9 years of solid experience as a Business Analyst in product, services, or consulting firms. Demonstrated experience in handling large-scale transformation programs (e.g., AI/ML/ERP/CRM/ HRMS/Digital platforms). Deep understanding of Agile and Hybrid delivery models (Scrum, SAFe, Waterfall). Proficiency in tools: JIRA, Confluence, Miro/Lucidchart, MS Visio, Excel, SQL. Strong stakeholder management skills across CXO, business heads, and delivery teams. Ability to analyze data, validate business logic, and ensure systems compliance. Strong verbal and written communication skilled at storytelling, documentation, and facilitation. Domain expertise in [customize based on your domain, e.g., BFSI, HRTech, Public Sector, Healthcare, Retail].

Notice Period : Early joiners A Generative AI Developer specializing in Azure-based chatbot development is responsible for designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services . They leverage natural language processing (NLP), large language models (LLMs), and cloud-based AI tools to create chatbots that enhance user experience and automate interactions. Key Responsibilities Design and develop AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. Implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling. Fine-tune GPT-based models and integrate them with business applications. Optimize chatbot performance by training models, improving responses, and handling edge cases. Deploy and manage chatbots using Azure Machine Learning, Azure Functions, and Kubernetes. Integrate chatbots with databases, APIs, and enterprise applications (e.g., Dynamics 365, Microsoft Teams, or custom apps). Ensure chatbot security, compliance, and scalability in Azure cloud environments. Monitor chatbot analytics using Azure Monitor, Application Insights, and Power BI.

We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs), who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications. The ideal candidate should have hands-on experience with foundation model customization, prompt engineering, retrieval-augmented generation (RAG), and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI, or Anthropics Claude. Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning, parameter-efficient fine-tuning (LoRA, QLoRA, PEFT), or prompt tuning. Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Haystack, or OpenAI Assistants API. Use embedding models, vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock, Azure OpenAI, Google Vertex AI, Anthropic Claude, or OpenAI API. Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails, content moderation, and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields. 3-6+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems. Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex. Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters. Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services. Preferred Skills: Experience with open-source LLMs: Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows, or multi-agent LLM orchestration. Experience with multi-turn conversation modeling, dialogue state tracking. Understanding of model quantization, distillation, or fine-tuning in low-resource environments. Familiarity with ethical AI practices, hallucination mitigation, and user alignment. Tools & Technologies: Category Tools & Platforms LLM Frameworks Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring Prometheus, MLflow, Langfuse, Weights & Biases