4 Aiml Expertise Jobs

You have a Bachelor's Degree in Computer Science and possess 6 to 10 years of experience. The job is based in Bangalore. As a Technical Manager for Applied AI Operations, your primary responsibility will be to oversee the operational delivery of AI/ML solutions. You will ensure reliable, scalable, and efficient support for production AI systems. Your role will involve managing client engagements, collaborating with architecture and DevOps teams, and driving innovations in AI/ML operations, particularly in the context of LLM-based solutions. Your key responsibilities will include overseeing operational support and performance for deployed AI models (e.g., GPT, Claude, BERT) in live production environments. You will guide the use of retrieval-augmented generation (RAG) architectures, vector databases (FAISS, Pinecone), and orchestration frameworks (LangChain, LlamaIndex). Additionally, you will implement AI monitoring tools and observability solutions (e.g., Arize, Evidently) to ensure accuracy, latency, drift detection, and model health. Acting as the technical point of contact for client-facing delivery of AI/ML services, you will ensure client satisfaction, uptime, and ongoing optimization. Collaborating with solution architects, DevOps engineers, and AI/ML teams, you will manage infrastructure, CI/CD pipelines, and compliance across deployments. You will also be responsible for driving the development of operational accelerators and reusable components to standardize and optimize LLM/AI model deployments. Identifying and implementing automation opportunities across AI workflows and support functions to improve reliability and reduce manual interventions will be a key part of your role. To excel in this role, you are required to have at least 6 years of experience in technology management, including 2 years of managing production AI/ML systems and teams. You should possess a strong working knowledge of large language models, vector databases, and RAG-based architectures. Familiarity with MLOps best practices, pipelines, containerization (Docker/Kubernetes), and cloud-native AI tooling (Azure OpenAI, AWS Bedrock, GCP Vertex AI) is essential. Hands-on experience with LangChain, LlamaIndex, Arize, Evidently, MLFlow, or similar operational tools is a plus. You must have proven leadership skills to manage multidisciplinary teams, deliver client-facing projects, and balance priorities under deadlines. Strong stakeholder communication skills are also required, with the ability to translate complex AI operations into business value.,

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Centre of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno- science, CNS, CV-Met, and Rare Diseases. We support our clients" needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. Role Summary: This is a client-facing leadership role responsible for managing strategic relationships, designing and delivering advanced analytics and AI/GenAI solutions, and driving measurable impact across global life sciences organizations. The ideal candidate will blend deep pharma domain knowledge, modern AI/ML expertise, and strong consulting acumen to shape and deliver differentiated solutions to commercial and brand teams at top pharmaceutical and biotech companies. Client Engagement & Advisory (40%): - Act as a strategic advisor to brand, commercial, and analytics leaders in global pharma clients. - Lead consultative discussions on AI/analytics roadmaps, omnichannel strategy, forecasting, and performance management. - Present insights, influence stakeholders, and translate analytics into compelling narratives that drive decisions. AI-Enhanced Analytics Delivery (30%): - Oversee delivery of AI-enabled solutions across domains like: - Dynamic segmentation & targeting - Next-best-action engines - Predictive HCP behavior models - LLM-based insight generation (GenAI) - Brand performance diagnostics - Ensure robust quality, timeliness, and strategic relevance of deliverables. Team & Capability Development (20%): - Lead and grow a high-performing team of consultants, data scientists, and domain experts. - Define and scale reusable AI/GenAI assets, frameworks, and accelerators. - Partner with internal technology, data, and innovation teams to align on platform evolution. Practice Growth & Innovation (10%): - Contribute to RFPs, proposals, and solutioning for new business opportunities. - Develop PoVs, whitepapers, and use cases to position the firm as a leader in commercial AI/GenAI. - Continuously scan the market for new pharma AI applications, platforms, and data partnerships. Required Qualifications: - Masters degree or higher in Data Science, Life Sciences, Business Analytics, or related field. - 1015 years of experience in commercial pharma analytics, including at least 35 years in a client-facing vendor/consulting role. - Strong understanding of commercial pharma data: IQVIA (NRx/TRx), patient claims, CRM, HCP engagement, formulary/market access data. - Experience delivering AI/ML/GenAI-driven solutions in real-world commercial use cases. - Proven ability to engage with senior pharma stakeholders (Directors, VPs, GMs) and lead large programs. Preferred Skills: - Familiarity with GenAI tools: OpenAI APIs, Claude, LLM summarization tools, Insight copilots. - Experience with tools like Python/R, SQL, Tableau/Power BI, Databricks/Snowflake. - Hands-on understanding of pharma GTM processes (launch excellence, sales ops, brand planning). Core Competencies: - Strategic thinking and business storytelling - Strong client presence and relationship building - AI fluency ability to evangelize and translate tech to value - Project management and operational excellence - Thought leadership and innovation mindset,

As an AI Solution Architect and CoE Lead at CES, you will be a key player in designing, developing, and implementing artificial intelligence solutions within the organization. Your role will involve shaping the strategy for AI excellence and best practices by establishing and overseeing the AI Centre of Excellence (CoE). The CoE will focus on nurturing AI talent, promoting knowledge sharing, and continuously advancing AI practices across the organization. Your responsibilities will include leading the end-to-end process of designing, developing, and deploying AI solutions tailored to business needs. You will provide technical leadership to cross-functional teams working on AI-related projects, ensuring high standards in solution design, integration, and deployment. Working closely with stakeholders, you will identify business requirements and translate them into AI-powered solutions, including machine learning models, data pipelines, and AI-driven processes. Additionally, you will evaluate and select appropriate AI tools, platforms, and technologies, oversee integration with existing systems, and ensure scalability and efficiency. In terms of CoE management, you will develop and implement a strategy for the AI Centre of Excellence, ensuring alignment with business objectives and AI best practices. You will establish frameworks for knowledge sharing, training, and governance to ensure consistency and scalability of AI practices across the organization. Fostering a culture of innovation and experimentation, you will lead efforts to upskill internal teams and define AI-related standards, processes, and best practices to maintain quality and consistency. Collaboration will be a key aspect of your role as you engage with business leaders, data scientists, IT teams, and product managers to deliver effective AI solutions. You will also interact with clients to understand their needs, showcase AI capabilities, and provide insights on how AI can address their challenges. Regular reporting to senior leadership on the progress of AI initiatives, including key milestones, risks, and opportunities, will be part of your responsibilities. Staying updated on the latest AI technologies, leading the development of PoCs and pilot projects, ensuring ethical AI use, compliance with regulations, and maintaining awareness of industry standards will also fall within your purview. The ideal candidate for this role will possess a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field, with 11+ years of experience in AI, machine learning, or data science. Leadership or architecture experience, proficiency in AI frameworks, and excellent communication and project management skills are essential. Certification as a Certified AI Professional or Certified Solutions Architect is advantageous, along with traits such as visionary thinking, problem-solving abilities, and a passion for mentoring AI talent.,

You are a technology-led healthcare solutions provider with a strong purpose to enable healthcare organizations to be future-ready. You offer accelerated global growth opportunities for individuals who are bold, industrious, and nimble. At Indegene, you provide a unique career experience that celebrates entrepreneurship and is driven by passion, innovation, collaboration, and empathy. Indegene values the importance of the early years of your career, recognizing that they lay the foundation for your professional journey. By joining the team, you can expect a differentiated career experience that exposes you to the dynamic intersection of healthcare and technology. You will have the opportunity to be mentored by industry experts and grow alongside the company's high-speed expansion on a global scale. As a Competency Leader, your role involves leading the design, development, and deployment of advanced AI and Generative AI solutions that bring substantial business value to pharma clients. You should possess extensive hands-on experience with AI/ML frameworks, cloud platforms, MLOps, and a deep understanding of GenAI technologies. Key Responsibilities: - Design, develop, and optimize AI/ML models for practical applications ensuring high performance, scalability, and reliability. - Innovate using advanced GenAI technologies to address complex business challenges. - Implement and manage end-to-end MLOps pipelines, including CI/CD, model monitoring, retraining workflows, and versioning. - Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms such as AWS and Azure. - Collaborate with cross-functional stakeholders to align AI solutions with business objectives. - Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment. - Develop and train Generative AI models. - Perform data analysis and prepare data for AI model training. - Integrate AI models with Snowflake, AWS, and other systems. Required Knowledge: - 10+ years of experience in AI/ML development and deployment, including leadership roles. - Good knowledge of machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI-based models. - Proficiency in working with GenAI tools and technologies such as LLMs, RAG, OpenAI APIs, LangChain, Streamlit, and vector databases. - Experience in building scalable (Gen) AI applications on AWS. - Strong background and understanding of vector databases. - Good knowledge of Python for data science and streamlit for rapid deployment of prototypes. - Experience working in an agile environment. - Experience in setting up and using CI/CD pipelines as well as writing software in a test-driven fashion. - Experience in building (Gen) AI solutions on Snowflake is a plus. - Experience with Agentic AI build. Key Skills: Python, AI/ML Expertise, Deep Learning, NLP, MLOps, Cloud Platforms (AWS, Azure), GenAI (LLM, RAG, OpenAI), LangChain, Streamlit, API Architecture, Leadership, Business-Aligned Problem Solving, Prompt Engineering, Knowledge of Vector Databases. EQUAL OPPORTUNITY If you are excited about the prospect of contributing to cutting-edge AI solutions in the healthcare industry and are ready to take on a challenging yet rewarding role, we encourage you to apply.,