1197 Aiml Jobs - Page 20

Software Real-Time Data Engineer III - Streaming data Position Responsibilities Summary: Configure and validate infrastructure related to our internal SAAS Real-Time Data Streaming Platform in Azure. Develop and validate the Streaming Pipeline and data models. Enrich data with Azure Stream Analytics. Use Machine Learning techniques like classification and regression. Develop systems to support applying AI/ML techniques . Provide support to our development teams and work with our Data Organization Work with our Application Architects. Documentation: writes knowledge articles and other documentation General Responsibilities: Serving as a regional point of contact in our Data Streaming team together with members in other regions. Work in close coordination with the architecture, development, data and operations team such that the platform functions within expectation. Support the development Streaming Pipeline and data models. Look for opportunities to improve our end-to-end stream by means of architecture and technology-based changes. Education and/or Requirements Required: The incumbent should possess minimum associate or bachelors degree in computer science and proven work experience. Candidates must have proven excellent communications and interpersonal skills. Candidates should have strong organizational acumen. Skill Requirements: Works constructively and collaboratively with other team members and across organizations to accomplish organizational goals and objectives. Applies methodologies, processes, and tools to enhance work effectiveness and to implement process improvements. Leverages experiences and acquires and shares new skills and knowledge to enhance organizational capability and individual competence. Fosters teamwork by identifying and removing obstacles to ensure organization results are achieved. Proven affinity with Microsoft Azure Cloud and specifically with Azure Event Hub, Azure Stream Analytics. Knowledge and experience with Apache Flink or Kafka Streams API, Apache Spark, Apache Nifi and Azure HDInsight are a plus. Proven ability to develop in Java. Alternatives like Scala or Kotlin would be a plus.

About Company Process9 is Indias leading language technology company, poised for a major growth in the domestic and global geographies, to vie for a global leadership in the language technology space. Process9 is the next Unicorn candidate to watch out for. Language services is a $50 billion global industry, while the language market in India is growing by over 30% year-on-year. Process9 is bringing Multilingual Transformation to Enterprises, to make their Digital Transformation complete and scalable. More than 80% of Indian population is not English savvy whereas over 98% of Internet content in India is in English. The need for local language content in India is growing like wild fire. Process9 intends to meet the language needs of the industry and Govt to capture a large share of this unmet need. Being a B2B and SaaS based software company, we develop middleware application platforms for language localization of websites, mobile apps, enterprise applications, digital transaction journeys, digital documents and much more. We develop the best-in-class Natural Language Processing (NLP) software using AI/ML technologies for translation, language processing and voice applications for Indian and global languages that are used by hundreds of leading enterprises in India and now attracting global users on the Internet and Smartphones. Our goal is to connect with all digital users regardless of their native languages and make localization easy-to-use and commercially viable for e-businesses We were one of the finalists in the TOP35 INNOVATIONS at the CNN-IBN networked India campaign. For more information, please visit our website: https://process9.com/ Position: Sr. Data Scientist (Multilingual AI/ML) Location: Gurgaon, Haryana We are seeking an experienced Data Scientist to spearhead our multilingual AI/ML initiatives, focusing on natural language processing, speech technologies, and domain-specific model development. The ideal candidate will have extensive experience in training and fine-tuning transformer-based models, speech recognition/synthesis systems, and large language models for specialized applications. Job Responsibilities: Development of multilingual transformer models for machine translation (OpenNMT) and TTS/STT systems (Coqui TTS). Fine-tune Whisper models for speech to text Fine-tune LLMs for fintech/other domain. Build Agentic chatbots using LangChain/LlamaIndex. Design synthetic data pipelines and cross-lingual training strategies. Mentor team members and drive model deployment with engineering teams. Desired Profile: 4+ years experience in ML/NLP. Strong Python, PyTorch/TensorFlow, and Hugging Face expertise. Experience with MLOps, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure). Knowledge of data privacy and compliance requirements, especially in fintech contexts

Job description: Biotecnika Info Labs Pvt Ltd is a leading Bio-IT Company with a diversified portfolio in Information Technology and Biotechnology. We seek a highly motivated and experienced individual to join our team as a Part-Time Bioinformatics Trainer & Researcher. The successful candidate will play a key role in developing and delivering bioinformatics training programs while actively engaging in research activities within our dynamic environment. Name of the Post - Bioinformatics - AI ML Scientist & Trainer Expected Time to Join - Immediate Job Location - Online Full Time / Offline Full Time at Bangalore Work Hours - 9 Hours per day Essential Qualification & Eligibility - PhD in Bioinformatics / Computational Biology / AL ML (PhD will be preferred) Experience Required - 2 to 5 years Responsibilities: 1. AI ML & Bioinformatics Training & Project Work: Design and conduct bioinformatics training sessions for diverse audiences, including researchers, students, and professionals. Develop training materials, resources, and hands-on exercises to enhance participants' understanding of bioinformatics tools and methodologies. Stay abreast of the latest developments in bioinformatics and incorporate relevant advancements into training programs. 2. Curriculum Development: Collaborate with the curriculum development team to create comprehensive and up-to-date bioinformatics training modules. Tailor training content to meet the specific needs of different user groups, ensuring accessibility and effectiveness. 3. Research Activities: Conduct independent and collaborative bioinformatics research projects. Stay informed about current trends and breakthroughs in bioinformatics research and contribute to the advancement of knowledge in the field. Publish research findings in reputable journals and present at conferences. 4. Mentorship : Provide mentorship and guidance to individuals involved in bioinformatics training and research initiatives. Foster a supportive and collaborative learning environment for trainees. Qualifications: PhD or Master's degree in Bioinformatics, Computational Biology, AI ML or a related field. Proven experience in bioinformatics research and a strong publication record in peer-reviewed journals. Knowledge of Genomics and Genetics Data Mining & Data Analysis skills Demonstrated expertise in popular bioinformatics tools and software. Experience in designing and delivering bioinformatics training programs. Excellent communication and interpersonal skills. Ability to work independently and collaboratively in a team environment. Desired Skills: Communication: Clear presentation of complex concepts. Adaptability: Tailoring training to diverse styles, Embracing emerging methodologies. Collaboratio n: Strong interpersonal and mentoring skills. Problem-Solving: Analytical and proactive approach. Project Management: Efficiently managing multiple projects. Continuous Learning: Staying updated on bioinformatics. Networking: Building and maintaining connections. Documentation: Creating clear training materials. Teaching Experience: Previous bioinformatics teaching. Interdisciplinary Collaboration: Working across scientific disciplines. Key Skills Required - Bioinformatics Skills - Should be skilled in sequence alignment (BLAST, Clustal), NGS analysis (BWA, Bowtie), and handling high-throughput data (SAMtools, IGV). Expertise in molecular docking (AutoDock, PyMOL) and data analysis (R, Python) is essential, along with proficiency in phylogenetics, genomics, transcriptomics (Galaxy, Tophat), and functional annotation (DAVID, KEGG). Strong skills in data visualization, scripting, cloud computing, and database management (SQL) are also required, supporting comprehensive bioinformatics research and applications. Programming Skills - You should be familiar with one or more of the following programming languages: CADD, R, BioPerl, Biopython, BioJava, and Matlab. AI ML Skills - AI/ML scientists in bioinformatics should excel in data pre-processing, feature engineering, and model development with Python, R, and libraries like TensorFlow, PyTorch, and Sci-kit-Learn. Key skills include supervised and unsupervised learning (classification, clustering, deep learning), NLP for text mining, image analysis, and time-series analysis. Proficiency in data visualisation (Matplotlib, Plotly), cloud deployment (AWS, Google Cloud), and SQL database management is essential for effective AI/ML applications in bioinformatics. Why Join BioTecNika Info Labs Pvt Ltd? If you are looking for a long-term stable career in the BIO-IT industry and want to rub shoulders with the biggest names in Bio IT, then BioTecNika should be your destination for a Bioinformatics Trainer Job. A Company Supported by Biotech veterans & Venture Capitalists, Biotecnika has a long way to go and we are looking for you. If you do not like processes, hate pyramid-type organisations, and love creativity, innovation, and fun at work, you will love it here. You will find a very flexible work environment that treats people like human beings. You will be challenged at the levels of responsibilities that you end up managing at the workplace. We have a penchant for drawing talented folks from all kinds of places.

Job Position Title: Senior Associate_ APA Developer_Agentic Automation_Advisory_Bangalore Responsibilities: Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions. Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases. Query and manage databases (e.g., SQL, NoSQL) for data extraction, transformation, and integration into automation workflows. Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation. Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge. Ensure scalability, security, and performance of deployed automation solutions in production environments. Experience: 4+ years of hands-on experience in AI/ML, generative AI, or automation development. Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). Technical Skills: Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), Git workflows, and containerization (e.g., Docker, Kubernetes). Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud) for deploying automation solutions. Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. Soft Skills: Exceptional communication skills to articulate technical concepts to non-technical stakeholders. Strong problem-solving and analytical skills to address complex automation challenges. Ability to work collaboratively in a fast-paced, client-facing environment. Proactive mindset with a passion for adopting emerging technologies. Preferred Qualifications Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems. Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation. Exposure to enterprise-grade automation platforms or intelligent process automation (IPA) solutions. Contributions to open-source AI/automation projects or publications in relevant domains. Certification in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer). Mandatory skill sets: Agentic, LLM, RAG, AIML, LangGchain Preferred skill sets: Agentic, LLM, RAG, AIML, LangGchain, Gen AI Years of experience required: 4-7 Years

Experience : 2-5 years 2-5 years in AI/ML development and cloud infrastructure management. Expertise in AWS, Databricks, and Microsoft Azure. 2-3 years of experience with generative AI use cases or deploying ML models in cloud environments. Job Summary We are looking for a Generative AI Cloud Developer to design, develop, and manage private cloud infrastructure for AI/ML solutions. The role involves implementing generative AI use cases, optimizing workflows, and ensuring secure, scalable, and efficient systems using platforms like AWS, Databricks, and Azure. Key Responsibilities Develop generative AI use cases and deploy machine learning models. Build and maintain private cloud infrastructure for AI/ML solutions. Automate workflows and improve system performance. Collaborate with teams to analyse and deliver AI application requirements. Ensure security, scalability, and efficiency of cloud infrastructure. Required Skills Bachelors degree in computer science or related field. Expertise in AWS, Databricks, Azure, and Python. Experience with containerization (Docker, Kubernetes) and cloud-native tools (e.g., AWS Lambda). Familiarity with data pipelines, ETL, and distributed computing. Knowledge of infrastructure-as-code tools like Terraform or Azure Resource Manager. Preferred Skills Certifications in AWS, Azure, or Databricks. Experience with generative AI models and MLOps frameworks. Proficiency in large-scale data processing (e.g., Apache Spark). Understanding of AI ethics, data privacy, and compliance standards.

15+ years of overall experience, including at least 5 years in a presales Lead to partner closely with sales, product, engineering teams to drive business growth. This role requires a strong understanding of our software products

We are a rapidly growing AI-First IT Services Engineering company seeking a highly motivated and hands-on Talent Acquisition Lead. As a startup with a lean team, this role requires an individual who is not only a strategic thinker but also enthusiastic about personally executing the full spectrum of recruitment activities. The ideal candidate will have a proven track record in end-to-end technical recruitment across various software technologies, be deeply comfortable with the demands of an AI-driven engineering environment and be ready to roll up their sleeves and actively source, screen, and manage candidates from start to finish, while also building our recruitment foundation. Hands-On Recruitment: - Personally manage the complete recruitment lifecycle for all IT roles, with a strong focus on software engineering and AI/ML positions, from job requisition creation to offer negotiation and onboarding support. - This includes active sourcing, technical screening, interviewing, and candidate management. Strategic Technical Sourcing & Networking: - Proactively identify and engage top-tier software engineers, AI/ML specialists, data scientists, and other technical professionals through diverse channels, including specialized job boards, tech communities, social networks, professional referrals, and direct outreach. - You will be expected to conduct the majority of technical sourcing yourself. Technical Screening & Assessment: - Conduct thorough initial interviews and technical assessments to evaluate candidates' qualifications, coding skills, technical expertise, problem-solving abilities, cultural fit, and alignment with our startup's values and technical stack.. Hiring Manager Collaboration: - Partner directly with engineering leads and technical hiring managers to deeply understand specific hiring needs for complex technical roles, provide market insights, and ensure alignment on candidate profiles and recruitment strategies.. Recruitment Reporting: - Track and report on key recruitment metrics to provide clear insights into pipeline status and hiring progress for technical roles to the leadership team. Process Ownership & Optimization: - Drive the efficiency and effectiveness of our technical recruitment process, actively using and optimizing ATS tools (Zoho) and other recruitment technologies to enhance candidate experience and streamline workflows. Technical Market Intelligence: - Stay deeply updated on industry trends, compensation benchmarks for technical roles, emerging software technologies, and AI/ML advancements, directly applying this knowledge to optimize technical sourcing and hiring strategies.. Team Support (Future): - As we grow, you will lay the groundwork for and potentially mentor future TA team members, but initially, this role is primarily execution focused.. Requirements : Experience: 8+ years of hands-on experience in technical recruitment, specifically within software development, AI/ML, or related IT services engineering domains, demonstrating a consistent record of successfully closing complex technical roles personally. Deep Technical Domain Expertise: Practical understanding of various software roles (e.g., Full Stack, Backend, Frontend, DevOps, QA), programming languages (e.g., Python, Java, JavaScript), cloud platforms, AI/ML concepts, and modern software development lifecycles.. AI-First Environment Comfort: Demonstrated comfort and experience recruiting for companies focused on AI, machine learning, and advanced IT services engineering.. Hands-On Execution: A strong willingness and proven capability to perform all aspects of recruitment from technical sourcing to offer negotiation. This is not a purely managerial or advisory role.. Communication & Interpersonal Skills: Exceptional communication, presentation, and interpersonal skills, with the ability to influence and build strong relationships with technical candidates and internal stakeholders.. Problem Solving: Strong analytical and problem-solving skills, with the ability to adapt quickly and effectively to changing technical recruitment needs in a fast-paced environment.. Negotiation & Persuasion: Highly skilled in negotiation and persuasion, with a track record of personally closing critical technical hires.. ATS Proficiency: Expert-level proficiency with recruitment software and applicant tracking systems, including Zoho, for comprehensive recruitment management.. Advanced Technical Sourcing Expertise: Advanced proficiency in using various technical sourcing techniques, including Boolean search strings, LinkedIn Recruiter, GitHub, Stack Overflow, and other specialized tech platforms, with a clear understanding of how to personally execute these searches.. Results-Oriented: Proactive, self-motivated, and highly results-driven, with a strong sense of urgency and commitment to meeting and exceeding technical recruitment goals independently.. Startup Mentality: Comfortable operating in a dynamic, rapidly evolving startup environment where adaptability and a can-do attitude are paramount.. Show more Show less

As a Product Manager at Layam Group, you will play a crucial role in leading the design, development, and execution of our AI-powered recruitment platform. Your strategic thinking and leadership drive will be instrumental in setting up structures, aligning stakeholders, building high-performing teams, and delivering a scalable product to disrupt the recruitment industry. You will define, own, and drive the end-to-end product strategy and roadmap while collaborating with business leaders and clients to gather insights and shape the product vision. Your role will involve building and leading cross-functional teams in areas such as AI/ML, engineering, design, and operations. It is essential to champion innovation, ensure the delivery of cutting-edge recruitment technology, and implement Agile practices for on-time, high-quality delivery. As the face of the product, you will interact with internal stakeholders, clients, and investors. Your responsibilities will also include establishing KPIs, monitoring performance, and driving continuous improvement in product development processes. With 8-12 years of product management experience in SaaS or HR Tech, you should have a proven ability to lead teams, deliver AI/ML-enabled digital products, and possess a deep understanding of recruitment processes and the HR technology landscape. An entrepreneurial mindset is crucial for operating effectively in a startup environment. Your education background should include a Bachelor's degree in Engineering, Computer Science, or Business (MBA preferred) along with certification in Product Management (e.g., Pragmatic, PMI-ACP) being a plus. Your past projects should demonstrate successful delivery of SaaS or HR Tech platforms, AI/ML integration in real-world business applications, and scaling products to achieve high user adoption and revenue growth. Desired traits for this role include being a visionary leader with strong business acumen, strategic thinking, excellent problem-solving skills focused on outcomes, and the ability to inspire and motivate teams to deliver ambitious goals. Join us at Layam Group and be part of a dynamic team driving innovation in the recruitment industry.,

As a diligent Research and Development Engineer, your primary responsibility will be to conduct thorough research in order to identify cutting-edge manufacturing technologies such as Industry 4.0, Data analytics, and AI/ML that are in line with the company's objectives. Your keen evaluation skills will be crucial in assessing the potential impact of these new technologies on production efficiency, product quality, and overall business performance. You will be tasked with designing and implementing Proof of Concepts (POCs) to assess various solution options within specified time constraints. Your ability to prepare comparative studies on these solution options and recommend the most optimal ones will be highly valued. Additionally, you will be required to develop project implementation scopes and roadmaps to ensure the approval of management. Collaboration will be key in this role, as you will work closely with both internal teams and external stakeholders to drive the successful implementation of projects. Your effective communication and interpersonal skills will play a vital role in fostering these collaborative relationships.,

As a Fullstack Engineer at our company, you will be an integral part of developing a new AI-driven product right from its inception. Your passion for innovation, prototyping, and product development will be key in shaping the technical direction and architecture of the product. This hands-on role will also involve mentoring and managing junior Engineers as the team expands. Your primary responsibilities will include designing, building, and iterating on Proof of Concepts for new AI-powered features, leading the development of scalable web applications from frontend to backend, integrating APIs and machine learning models in collaboration with product and AI/ML teams, and making strategic decisions regarding architecture, tooling, and infrastructure. You will also be responsible for deploying, monitoring, and maintaining applications in production environments, defining coding standards, documentation practices, and development workflows, and overseeing the full Software Development Life Cycle. To excel in this role, you should possess strong experience in fullstack development, a proven track record of building and deploying web applications, and familiarity with AI/ML product POCs, model integration, and API-based ML services. A solid understanding of RESTful APIs, JSON, and modern frontend frameworks such as React, Angular, or Vue is essential, along with proficiency in frontend and backend technologies, DevOps practices, and the ability to prototype and iterate quickly in a fast-paced environment. Strong problem-solving skills, a startup mindset, and leadership experience or potential to mentor and manage a small team will be valuable assets. Additionally, experience with MLOps or ML model lifecycle, familiarity with LLMs, vector databases, or AI service platforms like OpenAI, HuggingFace, Pinecone, exposure to data engineering and pipeline design, and previous involvement in startup or product development initiatives will be beneficial. Joining our team will offer you the opportunity to be a founding engineer on a product with exciting potential, work at the cutting edge of AI, product innovation, and software engineering, and contribute to building and shaping the tech stack, processes, and team culture right from the start.,

The Salesforce AI Platform powers AI investments in the Einstein product portfolio across various Salesforce clouds, including Service, Sales, and the recent Einstein GPT capabilities. The team collaborates with external vendors, open-source platforms, and the internal Salesforce Research team to host various LLMs (Large Language Models). They continuously evaluate and measure quality, build an experimentation platform, and enable seamless rollout of LLMs based on customer data and feedback. We are looking for an exceptional Product Manager to lead the development of Sales AI for Salescloud, focusing on building AI capabilities to assist sellers. The ideal candidate is an experienced product manager dedicated to ensuring customer and team success. This role offers a high-profile opportunity for someone looking to advance their career. **Responsibilities:** - Define and drive the product vision, strategy, and roadmap for Sales AI, covering areas such as Experimentation and Improvements, Prompt tuning, Model fine-tuning, Retrieval Augmented Generation (RAG), Keyword & Vector Search, and No-code model builder experiences. - Manage the entire product lifecycle from concept to adoption, including defining requirements, prioritizing features, justifying decisions, and establishing success metrics. - Collaborate with engineering teams to outline, prioritize, and implement feature specifications. - Engage with customers, stakeholders, and partners to provide roadmap updates, gather feedback, and identify challenges and opportunities. - Stay informed about industry trends and competition in Generative AI. - Work with product marketing on positioning, messaging, and go-to-market strategies. - Serve as a domain and product expert for Salesforce in customer interactions, industry events, and community platforms. **Required Skills:** - 8+ years of Product Management experience with technical products/platforms. - Strong background in AI/ML with the ability to communicate effectively with engineers and data scientists. - Excellent written and verbal communication skills, including presenting to executives, participating in the sales process, and managing critical issues. - Experience working in agile/lean environments and managing backlogs. - Proficiency in gathering and translating product requirements into a practical roadmap. - Proven ability to collaborate internally and externally to deliver products or services. - Bachelor's degree or equivalent experience required. **Desired Skills:** - Experience in defining and developing AI platforms to support different user personas throughout the ML lifecycle. - Familiarity with Generative AI and LLM landscape. - Background in ML metrics, evaluations, and benchmarking. - Experience working closely with Data Science and ML Engineering teams.,

We are in search of an AI/ML Full Stack Engineer who will be responsible for implementing end-to-end, AI-powered solutions. Your primary responsibilities will include: Building & Integrating AI Solutions: Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. Full Stack Development: Designing REST or GraphQL APIs to enable real-time conversational interactions. Creating frontend components using React, Vue.js, or similar technologies to incorporate chat widgets, voice interfaces, and AI-driven product discovery features. Optimizing backend services in Node.js, Python, or Go for enhanced performance and reliability to ensure seamless customer experiences across web and mobile platforms. Conversational Flow & Orchestration: Collaborating with Product and UX teams to design user-centric conversational flows that align with brand voice. Evaluating and integrating state-of-the-art NLP libraries and frameworks such as SpaCy, Hugging Face Transformers, Rasa, and LangChain for intent detection, sentiment analysis, and context management. Data Engineering & Infrastructure: Working with DevOps to deploy models and services on cloud platforms like AWS, GCP, or Azure using container orchestration tools like Docker and Kubernetes. Implementing CI/CD pipelines for smooth deployments and continuous model updates. Ensuring robust data security and privacy in compliance with relevant regulations such as GDPR and CCPA. Cross-Functional Collaboration: Partnering with product managers, designers, and other engineers to define technical solutions that enhance user experiences and scale effectively. Participating in code reviews, architectural planning, and knowledge-sharing sessions. In terms of qualifications, we are looking for someone with: Hands-on experience in AI/ML, particularly in NLP and recommendation systems. Proficiency in a modern backend language (Python, Node.js, Go, or Java) and familiarity with frontend frameworks like React, Vue.js, or Angular. Experience with cloud services for deploying and scaling AI applications, as well as knowledge of database technologies and data warehousing solutions. Understanding of ML Ops practices such as model versioning, A/B testing, monitoring, and retraining pipelines. Moreover, expertise in Conversational AI & NLP, and a Full Stack Mindset will be highly valued. Additionally, any knowledge in eCommerce, recommendation systems, or retail AI solutions, exposure to LangChain, LLM fine-tuning, or generative AI approaches, and a background in UI/UX or conversational design best practices would be considered a bonus. This is a full-time position based in Hosur, Tamil Nadu, and the expected start date is 30/07/2025. Join us in a fast-paced environment where you can enhance your ML and full stack skills.,

Job Description You will be joining WonDRx, a dynamic and forward-thinking healthtech startup dedicated to revolutionizing the digital connection between patients, doctors, and the healthcare industry. As a Java Full Stack Technical Lead with over 8 years of experience, including a minimum of 3 years in a leadership position, you will play a pivotal role in designing and implementing full-stack solutions, leading teams, and upholding high technical standards. Your responsibilities will include leading the end-to-end development of full-stack applications, overseeing the transition from a monolithic to a microservices-based architecture, supervising the integration of AI/ML-powered functionalities, collaborating closely with product and cross-functional teams, optimizing databases for performance, scalability, and security, as well as advocating for CI/CD practices and maintaining clean code standards. The ideal candidate for this role will possess a proven track record of building and launching successful full-stack products, demonstrate proficiency in Java, Spring Boot, and various front-end frameworks, showcase experience in managing engineering teams and nurturing junior developers, exhibit familiarity with cloud deployment, DevOps tools, and scripting languages, and possess exceptional communication skills coupled with strong problem-solving abilities.,

You will play a key role as a GenAI Solutions & Engineering Subject Matter Expert within our GenAI Incubation Team. Your responsibilities will revolve around collaborating with clients, business stakeholders, and product teams to identify valuable use cases, design scalable Generative AI solutions, and guide them from conceptualization to Minimum Viable Product (MVP) to deployment. To excel in this role, you should possess a total of 10 years of experience in AI/ML, with at least 2 years dedicated to Generative AI solutioning. Your expertise should include the ability to create and implement GenAI applications, copilots, or agent-based systems effectively. Additionally, you should be well-versed in the LLM stack, encompassing prompting, model selection, evaluation, fine-tuning, and deployment processes. Proficiency in Python and familiarity with libraries/frameworks such as LangChain, LlamaIndex, and FastAPI are essential for this position. You should also demonstrate a strong understanding of various GenAI patterns like prompt engineering, RAG, summarization, code generation, and AI Agents among others. Hands-on experience with cloud platforms like Azure OpenAI, AWS Bedrock, GCP Vertex AI, and NVIDIA is a must. A deep comprehension of vector databases, LLM orchestration, memory management, and API integration will further solidify your qualifications. Your role will involve building AI Agents and Agentic AI solutions using industry-leading frameworks and protocols like MCP and A2A. Moreover, a good grasp of Responsible AI principles, explainability, data security, and model auditability will be valuable. Excellent communication skills and the ability to engage effectively with stakeholders are crucial attributes for success in this role. You should be comfortable operating within an agile, fast-paced, and innovative environment where ambiguity is common.,

NTT DATA is looking for a Data & AI Technical Solution Architect to join their team in Pune, Maharashtra, India. As a Data & AI Architect, you will be responsible for delivering multi-technology consulting services to clients, providing strategies and solutions for infrastructure and related technology components. Your role will involve collaborating with stakeholders to develop architectural approaches for solutions and working on strategic projects to ensure optimal functioning of clients" technology infrastructure. Key Responsibilities: - Engage in conversations with CEO, Business owners, and CTO/CDO - Analyze complex business challenges and propose effective solutions focusing on client needs - Develop high-level innovative solution approaches for complex business problems - Utilize best practices and creativity to address challenges - Conduct market research, formulate perspectives, and communicate insights to clients - Build strong client relationships and ensure client satisfaction - Contribute to the improvement of internal effectiveness by enhancing methodologies, processes, and tools Minimum Skills Required: - Academic Qualifications: BE/BTech or equivalent in Information Technology and/or Business Management - Scaled Agile certification is desirable - Relevant consulting and technical certifications, such as TOGAF - 12-15 years of experience in a similar role within a large-scale technology services environment - Proficiency in Data, AI, Gen AI, and Agentic AI - Experience in Data Architecture and Solutioning, E2E Data Architecture, and GenAI Solution design - Ability to work on Data & AI RFP responses as Solution Architect - Experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect - Proficiency in Snowflake, Databricks, Azure, AWS, GCP cloud, Data Engineering & AI tools - Experience in large-scale consulting and program execution engagements in AI and data - Expertise in multi-technology infrastructure design and client engagement Additional Career Level Description: - Seasoned professional with complete knowledge and understanding of the specialization area - Solves diverse problems using judgment and interpretation - Enhances relationships with senior partners and suggests variations in approach About NTT DATA: NTT DATA is a global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. With experts in over 50 countries, NTT DATA offers business and technology consulting, data and artificial intelligence solutions, industry solutions, as well as application, infrastructure, and connectivity management. They are a leading provider of digital and AI infrastructure and are part of the NTT Group, investing significantly in R&D to support organizations in their digital transformation journey. Visit us at us.nttdata.com,

As a Senior MEAN Stack Developer with 2-4 years of hands-on experience, you will be responsible for designing, developing, and maintaining scalable web applications. Your expertise in MongoDB, Express.js, Angular, and Node.js (MEAN stack) will be crucial, along with strong problem-solving abilities and leadership skills. Working closely with cross-functional teams, you will contribute to building high-performance applications and play a key role in architectural responsibilities. Your main tasks will include designing, developing, and deploying full-stack web applications using the MEAN stack, as well as architecting and optimizing scalable, high-performance web applications. You will also be responsible for developing RESTful APIs and GraphQL services for seamless integration with frontend applications, implementing authentication and authorization mechanisms, optimizing database queries and performance in MongoDB using Mongoose, and mentoring and guiding junior developers. Additionally, you will integrate third-party APIs, cloud services, and DevOps solutions for automation and deployment, implement CI/CD pipelines, troubleshoot complex issues, debug applications, and improve code quality. It is essential to stay updated with emerging technologies and contribute to the continuous improvement of development practices. To be successful in this role, you should have 3-5 years of experience in MEAN stack development, strong proficiency in Angular 15+ and frontend optimization techniques, advanced knowledge of Node.js and Express.js, expertise in MongoDB, MySQL & PostgreSQL, experience in building microservices-based architectures, and a solid understanding of Docker, Kubernetes, and CI/CD pipelines. Proficiency in Git, GitHub, or GitLab for version control, along with experience with message queues for distributed systems, is also required. Moreover, you should have hands-on experience in unit testing, integration testing, TDD, strong analytical and debugging skills, excellent communication and leadership skills, and basic understanding and hands-on experience of HTML & CSS. Experience with GraphQL API development, familiarity with AWS, Azure, or Google Cloud Platform, knowledge of Serverless architecture, Nextjs, Reactjs, Angular Universal, Nginx, PM2, load balancing strategies, exposure to AI/ML-based applications using Node.js, and the ability to boost productivity using AI tools like ChatGPT are a plus. (ref:hirist.tech),

At Zybisys, the focus is on pushing boundaries in the FinTech world by rethinking how businesses operate to make them smoother, smarter, and more efficient. The company's tech solutions help FinTech companies stay ahead in the digital game with confidence and flexibility. Zybisys values innovation and is constantly seeking bold thinkers who can tackle significant challenges with creativity and precision. The company believes in growing together, nurturing talent, and building a future where technology transforms the FinTech industry. As a Principal Software Architect at Zybisys, you will play a crucial role in designing and building smart, AI-driven solutions to address complex business challenges. Working closely with product, development, and research teams, you will shape the tech strategy to ensure alignment with the next-gen platform. If you are passionate about AI/ML and product innovation, and enjoy pushing the boundaries of technology to drive real innovation, then this role is for you. Key Responsibilities: - Architect, design, and develop large-scale distributed cloud services and solutions with a focus on AI/ML, high availability, scalability, and robustness. - Spearhead the application of AI/ML in solving business problems at scale. - Work with Product Management to set the technical product roadmap and define direction. - Evaluate different programming languages and frameworks for project requirements. - Develop modular software components for reuse across projects. - Collaborate with design teams to craft intuitive user interfaces. - Oversee projects from initiation to completion, managing resources effectively. - Guide and inspire a team of engineers and designers, promoting continuous learning. - Champion the generation of new ideas for product features. - Lead initiatives exploring new technologies or methodologies. - Participate in high-level decisions shaping product and service direction. - Represent the company in industry forums or academic partnerships. Preferred Candidate Profile: - Minimum 10 years of software development experience, with at least 5 years in a scalable software architect role. - Proficient in software architecture, AI/ML technologies, and UI/UX principles. - Proven leadership skills in mentoring teams and driving collaboration. - Demonstrated ability to think creatively and introduce groundbreaking ideas. - Excellent communication skills to engage effectively with technical and non-technical stakeholders. - Bachelor's or Master's degree in Computer Science, Engineering, or related field. Perks and Benefits: - Dynamic work environment valuing employee ideas. - Opportunities to attend and speak at industry conferences. - Collaboration with cutting-edge technology and tools. - Culture emphasizing innovation, autonomy, and personal growth.,

As a skilled Full Stack JavaScript Developer at our company, you will be responsible for building robust and scalable solutions that power our legal tech platform. Your work will directly impact how millions of users access legal services, from real-time lawyer matching systems to AI-powered legal assistants. In this role, your key responsibilities will include: - Developing and maintaining web applications using Node.js and Next.js - Building responsive and high-performance frontend interfaces with React - Designing and implementing RESTful APIs and microservices - Working with databases such as MongoDB and PostgreSQL to manage legal data - Implementing real-time features for our 24/7 legal helpline (LOTS) and collaborating on our AI legal assistant (LAILA) integration - Optimizing applications for speed, scalability, and security - Writing clean and maintainable code with proper testing procedures We are looking for a candidate with: - 3+ years of full stack JavaScript development experience - Strong proficiency in Node.js and Express.js - Expert knowledge of React and Next.js - Experience with MongoDB and/or PostgreSQL - Understanding of RESTful API design and development - Knowledge of version control (Git) and deployment processes - Experience with cloud platforms, with AWS/Google Cloud preferred - Understanding of authentication, security, and data protection Nice to have skills include experience with TypeScript, knowledge of Docker and containerization, real-time systems experience, experience with legal tech, fintech, or compliance-heavy applications, mobile app development experience in React Native, and AI/ML integration experience. The tech stack you will work with includes: - Frontend: React, Next.js, TypeScript, Tailwind CSS - Backend: Node.js, Express.js, MongoDB, PostgreSQL - Cloud: AWS/Google Cloud, Docker - Tools: Git, Figma, Postman, Jest In return, we offer the opportunity to work on technology that democratizes access to justice, build systems serving millions of users, a flexible hybrid work environment, the latest tech stack and development tools, professional development and conference opportunities, health benefits, performance bonuses, and fast-track career growth in a scaling startup.,

HCLTech is looking for MLOps Engineer HCLTech is a globally recognized leader in technology solutions, renowned for delivering innovative and transformative digital services. With a commitment to excellence and a focus on responsible AI practices, Roles & Responsibilities: Candidate with 6+years of experience Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy. Cloud experience in GCP / AWS / Azure Location: Chennai / Bangalore / Noida/ Hyderabad/ Pune Experience: 6-18 years

The Enterprise Switching organization delivers top-tier products, with the Catalyst Cat9000 series leading in core, aggregation, and access switching for security, IoT, and Cloud. These switches are essential for SD-Access, Cisco's intent-based networking architecture, offering the bandwidth, speed, and scale needed for hybrid work environments. They enhance security with PoE power and AI/ML for zero-trust security and provide superior network experiences both on-premises and in the cloud through Cisco DNA Center or the Meraki Dashboard. The new Catalyst 9000X models offer flexible operations and secure, high-speed performance. Our team is renowned for creating industry-leading products that have dominated the enterprise market for decades through innovation. Cisco provides you an excellent opportunity to take your career aspirations forward. You will bring your unique talents to the group that works on Cisco's Switching technology, which large enterprises now consider to be the Networking Equipment of choice for mission-critical networks. In your role as Lead Software Engineer, you will develop and integrate products that are deployed by some of the leading Enterprises in the world. You will work on networking equipment that forms a crucial backbone of many offices, hospitals, educational and financial institutions. You will work with a BU-wide vibrant technical community, exchanging ideas and innovating on next-gen technology, all the while exploring opportunities for personal growth. Experience the exhilaration of mentoring colleagues and working on cutting-edge technologies. Minimum Qualifications: - Experience in understanding software system specifications and developing sophisticated test plans - Strong programming knowledge (Python/C/C++), git, AI/ML to develop modular and scalable automation to meet functional/solution requirement - CI/CD, Jenkins, Test driven development, Test as a service approach with flexible and modular automation. Experience in configuration/fixing Protocols: ISIS/OSPF, BGP, L2/L3 VPN, EVPN, SegmentRouting, IPv6, MPLS-LDP/RSVP-TE, Multicast, SNMP, Telemetry, gNMI, gRPC, Netconf & OpenConfig Yang Models - 4-8 years of relevant experience as a software test engineering in computer networking Preferred Qualifications: - Bachelors degree in computer science or related field (MS preferred). #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection; we celebrate our employees" diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best but be their best. We understand our outstanding opportunity to bring communities together, and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer 80 hours each year allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!,

We are seeking a highly skilled and experienced Business Analytics and Insights Manager to drive data-driven business strategies, empower decision-making, and enhance customer experiences for our enterprise products. Your role will involve leveraging advanced analytics, predictive modeling, and data integration to provide actionable insights aligned with business objectives. You will be responsible for predicting business trends, forecasting performance, and providing data-backed recommendations to improve revenue attainment, customer retention, and sales performance. Additionally, you will lead efforts to establish seamless integrations between data sources, data catalogue systems, and analytics tools to drive insights and innovation. You will be expected to: - Deliver actionable insights and dashboards using tools like Power BI, KNIME, Tableau, and similar analytics platforms - Communicate insights to Success Managers, Product Leaders, and Customer Experience Executives through engaging visualizations and data stories - Support leadership with data-driven recommendations to enhance decision-making and strategic planning You will also: - Analyze historical and real-time data to develop predictive models and forecasts for business value growth, revenue attainment, and customer experience improvement - Identify renewal trends, churn risks, and upsell/cross-sell opportunities through data-driven insights - Provide forward-looking recommendations to mitigate risks and optimize performance Furthermore, you will: - Establish and manage integrations across data sources, ensuring a unified data view - Build, maintain, and optimize data pipelines, warehouses, and catalog systems for scalable analytics - Implement robust data governance frameworks to ensure data integrity, accuracy, and security You will leverage advanced analytics platforms and AI/ML capabilities to generate predictive and prescriptive insights. Your role will involve developing forecasting models to anticipate business trends, revenue outcomes, and customer behavior, as well as driving corrective and preventive strategies based on analytics. Collaboration with cross-functional teams to understand business challenges, providing strategic insights to senior leadership, and fostering a culture of data-driven decision-making will be key aspects of your role. Qualifications and Skills: - Education: Bachelors or Masters degree in Statistics, Computer Science, Data Science, Business Analytics, or a related field - Experience: 13-15 years in data analytics, business intelligence, or related domains, with expertise in predictive analytics and forecasting, preferably in a B2B SaaS environment - Technical Expertise: Proficiency in analytics and visualization tools, expertise in AI/ML platforms, and strong understanding of data management and governance frameworks - Functional Knowledge: Deep understanding of customer lifecycle management, business performance metrics, and ability to translate data into actionable insights for strategy and performance improvement,

You will play a crucial role as a Senior Hardware Engineer at Enlog, where we are dedicated to revolutionizing energy management through cutting-edge technology that promotes energy efficiency and sustainability. As a burgeoning startup, we foster a dynamic work environment that encourages continuous learning and offers the chance to make a positive impact on the environment. Your primary responsibility will be to lead the Research and Development efforts in designing, developing, and scaling all hardware and embedded systems essential for Enlog's electricity management solutions. This includes overseeing the creation of innovative products ranging from household-level edge devices to grid infrastructure for electricity distribution companies. Key Responsibilities: - Lead the complete cycle of hardware and firmware development - Design embedded energy monitoring devices for various purposes such as unit tracking, phase balancing, grid laxity, and predictive safety - Manage circuit design, sensor selection, PCB development, and firmware delivery - Evaluate and incorporate various components like CTs, power ICs, digital sensors, BLE mesh, sub-GHz, and high-speed ADCs - Drive the hardware development process from prototyping to mass production, ensuring rigorous validation - Establish a team focused on data communication subsystems exploring technologies like Wi-SUN, 6LoWPAN, and BLE mesh You will also be responsible for building and leading a high-impact R&D team, including hiring and managing Analog/Digital Hardware Engineers, Firmware Developers, and Embedded ML Engineers. Your role involves aligning the team for independent execution, promoting structured innovation, and fostering collaboration between design and production teams. In addition, you will spearhead strategic R&D initiatives for Grid-to-Edge Solutions, managing end-device strategies for consumption, distribution, and transmission aspects. This includes designing modular hardware platforms that can adapt to various use cases and collaborating closely with the CTO and Cloud Engineering team on backend firmware integrations, OTA, secure provisioning, and architecture compatibility. Moreover, you will ensure the reliability, compliance, and scalability of the hardware products, defining and enforcing test plans, ensuring regulatory compliance, and optimizing for manufacturability and testability. Your role also involves staying updated on emerging technologies in sensing, communication, and ML, while leading the launch of impactful Proof of Concepts with key partners. Requirements: - 5-7 years of hands-on experience in embedded hardware and firmware development - Demonstrated track record of delivering IoT devices at scale - Strong expertise in power electronics, energy metering, and wireless protocols - Experience in firmware-cloud integration and OTA - Exposure to AI/ML in embedded systems is a plus - Previous experience in leading hardware/embedded teams or founding hardware projects is desirable Nice to Have: - Experience with IoT platforms and edge computing - Knowledge of Linux-based systems and scripting languages - Familiarity with cloud integration and REST APIs - Prior experience in a fast-paced startup environment If you are passionate about driving innovation in energy management and possess the required expertise, we encourage you to apply for this exciting opportunity by sending your resume to hr@enlog.co.in. Join us in our mission to create a greener and more sustainable future with Enlog!,

STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We are looking for a Senior AI Engineer / Data Engineer to be a part of our engineering team and contribute to building the future of AI-powered business solutions. In this role, you will be involved in developing intelligent systems that make use of advanced large language models (LLMs), real-time AI interactions, and cutting-edge retrieval architectures. Your efforts will have a direct impact on products that are revolutionizing business operations, particularly in the areas of recruitment, data extraction, and intelligent decision-making. This position offers an exciting opportunity for individuals who excel in constructing production-grade AI systems and are adept at working across the full spectrum of modern AI technologies. Responsibilities - Design, construct, and enhance AI-powered systems utilizing multi-modal architectures encompassing text, voice, and visual elements. - Incorporate and deploy LLM APIs sourced from providers like OpenAI, Anthropic, and AWS Bedrock. - Develop and manage RAG (Retrieval-Augmented Generation) systems featuring hybrid search, re-ranking, and knowledge graphs. - Create real-time AI functionalities through the utilization of streaming analytics and voice interaction tools such as ElevenLabs. - Establish APIs and pipelines using FastAPI or similar frameworks to facilitate AI workflows. - Process and evaluate unstructured documents with an understanding of layout and semantics. - Implement predictive models that drive intelligent business recommendations. - Deploy and sustain scalable solutions leveraging AWS services like EC2, S3, RDS, Lambda, Bedrock, among others. - Utilize Docker for containerization and oversee CI/CD workflows and version control via Git. - Debug, monitor, and optimize performance for large-scale data pipelines. - Collaborate seamlessly with product, data, and engineering teams across different functions. Qualifications - Possess 5+ years of experience in AI/ML or data engineering utilizing Python in production environments. - Hands-on familiarity with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain. - Previous experience in deploying vector databases like PGVector, Weaviate, FAISS, or Pinecone in production settings. - Solid grasp of NLP, document extraction, and text processing. - Proficiency in AWS cloud services including Bedrock, EC2, S3, Lambda, and monitoring tools. - Experience with FastAPI or similar frameworks for constructing AI/ML APIs. - Knowledge of embedding models, prompt engineering, and RAG systems. - Proficiency in asynchronous programming for high-throughput pipelines. - Proficiency in Docker, Git workflows, CI/CD pipelines, and adherence to testing best practices. Preferred - Background in HRTech or ATS integrations (e.g., Greenhouse, Workday, Bullhorn). - Experience working with knowledge graphs (e.g., Neo4j) for semantic relationships. - Exposure to real-time AI systems (e.g., WebRTC, OpenAI Realtime API) and voice AI tools (e.g., ElevenLabs). - Advanced Python development skills employing design patterns and clean architecture. - Experience in large-scale data processing (1-2M+ records) with cost optimization techniques for LLMs. - Proficiency in event-driven architecture utilizing AWS SQS, SNS, or EventBridge. - Hands-on experience with fine-tuning, evaluating, and deploying foundation models.,

As a Pre-Sales Lead, you will play a crucial role in defining and driving the pre-sales roadmap to support growth objectives and industry focus areas like Telecom, Retail, Healthcare, and Manufacturing. Your responsibilities will include collaborating with delivery and sales teams to design impactful solutions for data platforms, analytics, AI/ML, CDPs, and cloud migrations. Your expertise in data science, analytics methodologies, AI/ML applications, and BI tools will be essential in translating complex client business problems into technical solutions. Working closely with the Practice team, you will gather requirements and design customized solutions tailored to meet specific client needs. You will be responsible for developing detailed proposals, conducting industry and market research, and leading the RFI/RFP response process. Additionally, you will engage with clients in key meetings to present solutions, run discovery workshops, and conduct product/service demos. As a leader, you will build and mentor a high-performing pre-sales team, establish playbooks, and best practices. Collaboration with cross-functional teams such as Product, Delivery, Marketing, and Partnerships will be crucial to ensure scalable solutions. You will also stay updated on industry trends in AI, data engineering, cloud, and digital transformation to maintain competitive offerings. To be successful in this role, you should possess a Bachelor's degree in computer science, Information Technology, Business, or a related field, along with 8-12 years of experience in Pre-Sales, Solutioning, or Consulting roles in SaaS or Data/AI firms. Deep understanding of data and analytics ecosystems, strong leadership skills, proficiency in stakeholder and project management, and excellent communication and presentation abilities are required. A willingness to travel, self-motivation, and the ability to build strong relationships with clients and internal teams are also essential. If you have experience in building and scaling pre-sales or solutioning teams, familiarity with industry verticals like Telecom, CPG, BFSI, or Healthcare, and expertise in tools and technologies, it will be considered advantageous for this role.,

You are looking for a Deputy General Manager - IT (DGM-IT) to join our organization's multi-city hospital network in India. Reporting directly to the Vice President of IT (CIO), you will play a crucial role in driving the digital transformation agenda across our hospital network. We are seeking a strategic thinker with deep expertise in healthcare IT, a strong grasp of digital innovation, and a successful track record in leading enterprise-wide transformation initiatives. As the DGM-IT, your key responsibilities will include collaborating with the VP/CIO to define and execute the digital and IT strategy aligned with the organization's long-term goals. You will act as a thought partner in identifying emerging technologies and digital trends relevant to healthcare delivery and operations. Additionally, you will oversee the implementation and optimization of core healthcare IT systems, ensuring interoperability, data integrity, and compliance with healthcare regulations. Your role will also involve driving cybersecurity and data governance initiatives and leading digital innovation projects such as telemedicine, AI/ML in diagnostics, patient engagement platforms, and mobile health apps. You will be responsible for managing cross-functional teams, monitoring KPIs, and ensuring the timely delivery of digital initiatives within budget and scope. Stakeholder engagement is a critical aspect of this role, as you will work closely with clinical, administrative, and business leadership to understand their needs and co-create digital solutions. Strong leadership, communication, and stakeholder management skills are essential for success in this position. Ideally, you should have a Bachelor's degree in Engineering, Computer Science, or a related field, with a Master's in Healthcare Management, MBA, or equivalent preferred. You should possess 10-15 years of experience in IT/digital leadership roles, with at least 5 years in healthcare or hospital IT. Proven experience in leading digital transformation or large-scale IT modernization programs, as well as a strong understanding of healthcare workflows, clinical systems, and regulatory frameworks, are required. Exposure to AI/ML, IoT, and data analytics in healthcare, experience with cloud platforms, and familiarity with the Indian healthcare ecosystem and public-private healthcare models are preferred skills for this role.,