108 Ml Ops Jobs

One of the Healthcare AI Product Start up based out of Hyderabad is looking out for a AI Architect. If you are looking for a challenging environment and would like to be a part of building AI products, let us connect and discuss. Position: AI Architect Experience: 5+ yrs Qualification: B.Tech / B.E from Tier 1 Academic Institutions Job Type: Permanent & WFO Job Location: Hyderabad Position Overview We are seeking an experienced AI Architect to lead the design, development, and deployment of large-scale AI solutions. The ideal candidate will bridge the gap between business requirements and technical implementation, with deep expertise in generative AI and modern MLOps practices. Key Responsibilities: AI Solution Design & Implementation: • Architect end-to-end AI systems leveraging large language models and generative AI technologies • Design scalable, production-ready AI applications that meet business objectives and performance requirements • Evaluate and integrate LLM APIs from leading providers (OpenAI, Anthropic Claude, Google Gemini, etc.) • Establish best practices for prompt engineering, model selection, and AI system optimization Model Development & Fine-tuning: • Fine-tune open-source models (Llama, Mistral, etc.) for specific business use cases • Implement custom training pipelines and evaluation frameworks • Optimize model performance, latency, and cost for production environments • Stay current with latest model architectures and fine-tuning techniques Infrastructure & Deployment: • Deploy and manage AI models at enterprise scale using containerization (Docker) and orchestration (Kubernetes) • Build robust, scalable APIs using FastAPI and similar frameworks • Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment • Ensure high availability, security, and performance of AI systems in production Business & Technical Leadership: • Collaborate with stakeholders to understand business problems and translate them into technical requirements • Provide technical guidance and mentorship to development teams • Conduct feasibility assessments and technical due diligence for AI initiatives • Create technical documentation, architectural diagrams, and implementation roadmaps Required Qualifications: Experience • 5+ years of experience in machine learning engineering or data science • 1+ years of hands-on experience building, deploying, and managing generative AI models in production • Proven track record of delivering large-scale ML solutions Technical Skills: • Expert-level proficiency with LLM APIs (OpenAI, Claude, Gemini, etc.) • Hands-on experience fine-tuning transformer models (Llama, Mistral, etc.) • Strong proficiency in FastAPI, Docker, and Kubernetes • Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers) • Proficiency in Python and modern software development practices • Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services Core Competencies: • Strong understanding of transformer architectures, attention mechanisms, and modern NLP techniques • Experience with MLOps tools and practices (model versioning, monitoring, CI/CD) • Ability to translate complex business requirements into technical solutions • Strong problem-solving skills and architectural thinking Preferred Qualifications: • Experience with vector databases and retrieval-augmented generation (RAG) systems • Knowledge of distributed training and model parallelization techniques • Experience with model quantization and optimization for edge deployment • Familiarity with AI safety, alignment, and responsible AI practices • Experience in specific domains (finance, healthcare, legal, etc.) • Advanced degree in Computer Science, AI/ML, or related field Please Note: We are looking out for candidates who shorter notice period.

Qualcomm India Private Limited is a leading technology innovator that drives digital transformation to enable next-generation experiences and create a smarter, connected future for all. As a Qualcomm Software Engineer, your role involves designing, developing, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge products that exceed customer needs. You will collaborate with various teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 3+ years of Software Engineering experience - OR Master's degree in relevant field with 2+ years of experience - OR PhD in relevant field with 1+ year of experience - 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. - Location: Hyderabad - Experience: 1-5 Years We are looking for experienced Machine Learning Engineers with expertise in Generative AI to join our core AI team. The ideal candidate will focus on designing, developing, and deploying cutting-edge generative AI solutions, specifically in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems. Key Responsibilities: - Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources - Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation - Create robust evaluation frameworks to measure and improve model performance - Build and maintain agentic workflows for autonomous AI systems - Collaborate with cross-functional teams to identify opportunities and implement AI solutions Required Qualifications: - Bachelor's or Master's degree in Computer Science or related field - 3+ years of experience in Machine Learning/AI engineering - Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow) - Practical experience with LLM deployments and fine-tuning - Experience with vector databases and embedding models - Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure) - Strong understanding of RAG architectures and implementation Preferred Qualifications: - Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers) - Knowledge of prompt engineering and chain-of-thought techniques - Experience with containerization and microservices architecture - Background in NLP and deep learning - Background in Reinforcement Learning - Contributions to open-source AI projects - Experience with ML ops and model deployment pipelines Skills and Competencies: - Strong problem-solving and analytical skills - Excellent communication and collaboration abilities - Experience with agile development methodologies - Ability to balance multiple projects and priorities - Strong focus on code quality and best practices - Understanding of AI ethics and responsible AI development Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. Accommodations can be requested by emailing disability-accommodations@qualcomm.com or calling Qualcomm's toll-free number. Qualcomm expects its employees to adhere to all applicable policies and procedures, including security and confidentiality requirements. Note: The provided email address is solely for requesting accommodations for individuals with disabilities. Requests for updates on applications or resume inquiries will not be addressed here. Staffing and recruiting agencies are not authorized to use the Qualcomm Careers Site for submissions. Unsolicited resumes or applications will not be accepted. For more information, please contact Qualcomm Careers.,

Aera Technology is the Decision Intelligence company. Our platform, Aera Decision Cloud, integrates with enterprise systems to digitize, augment, and automate decisions in real time. We deliver millions of AI-powered recommendations each year, generating significant value for some of the world's largest brands. We are seeking a Machine Learning Engineer (Support & Ops focus) to ensure our AI-powered decision systems run reliably at scale. This role is less about building models from scratch, and more about keeping production AI systems healthy, observable, and performant, while enabling Data Science teams to deliver faster. This position is also a strong career pathway into ML feature development - you will work closely with Product, Data Science, and Engineering teams, gain exposure to LLMs, Agentic AI, and advanced ML tooling, and progressively take on more responsibilities in building new ML-powered product features. Responsibilities: - Monitor, troubleshoot, and maintain ML pipelines and services in production, ensuring high availability and minimal downtime. - Work closely with Data Scientists and Engineers to operationalize ML/LLM models, from development through deployment. - Build and maintain observability tools for tracking data quality, model performance, drift detection, and inference metrics. - Support LLM and Agentic AI features in production, focusing on stability, optimization, and seamless integration into the platform. - Develop and enhance internal ML tooling for faster experimentation, deployment, and feature integration. - Collaborate with Product teams to roll out new ML-driven features and improve existing ones. - Work with DevOps to improve CI/CD workflows for ML code, data pipelines, and models. - Optimize resource usage and costs for large-scale model hosting and inference. - Document workflows, troubleshooting guides, and best practices for ML systems support. About You: - B.E./B.Tech in Computer Science, Engineering, or related field. - 3-5 years of experience in software engineering, ML Ops, or ML platform support. - Strong Python skills, with experience in production-grade code and automation. - Experience with ML pipeline orchestration tools (Airflow, Prefect, Kubeflow, or similar). - Familiarity with containerized microservices (Docker, Kubernetes) and CI/CD pipelines. - Experience monitoring ML systems using tools like Prometheus, Grafana, ELK, Sentry, or equivalent. - Understanding of model packaging and serving frameworks (FastAPI, TorchServe, Triton Inference Server, Hugging Face Inference API). - Strong collaboration skills with cross-functional teams. Good to Have: - Exposure to LLM operations (prompt engineering, fine-tuning, inference optimization). - Familiarity with Agentic AI workflows and multi-step orchestration (LangChain, LlamaIndex). - Experience with data versioning (DVC, Delta Lake) and experiment tracking (MLflow, Weights & Biases). - Knowledge of vector databases (Pinecone, Weaviate, FAISS). - Experience with streaming data (Kafka) and caching (Redis). - Skills in cost optimization for GPU workloads. - Basic understanding of system design for large-scale AI infrastructure. If you share our passion for building a sustainable, intelligent, and efficient world, you're in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let's build this! Benefits Summary: At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You'll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment, to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you're working from the office, you'll also have access to a fully-stocked kitchen with a selection of snacks and beverages.,

As a S&C GN AI - Insurance AI Generalist Consultant at Accenture, you will play a key role in driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. You will have the opportunity to work with Accenture's Global Network, a unified powerhouse that combines the capabilities of Strategy & Consulting with Data and Artificial Intelligence. This role will involve architecting, designing, building, deploying, delivering, and monitoring advanced analytics models, including GenAI, to solve client problems. You will also be responsible for developing functional aspects of Generative AI pipelines and interfacing with clients to understand engineering and business problems. The ideal candidate for this role will have at least 5 years of experience in data-driven techniques, including exploratory data analysis, data pre-processing, machine learning, and visualization. A Bachelor's or Master's degree in Mathematics, Statistics, Economics, Computer Science, or a related field is required. Strong analytical, problem-solving, and communication skills are essential, along with proficiency in programming languages such as Python, PySpark, SQL, and Scala. Experience in implementing AI solutions for the Insurance industry and production-grade integration of AI/ML pipelines is preferred. Additionally, familiarity with Azure, AWS, or Databricks tools, as well as GenAI, LLMs, RAG architecture, and Lang chain frameworks, would be beneficial. Strong communication, collaboration, and presentation skills are necessary to effectively convey complex data insights and recommendations to clients and stakeholders. Joining Accenture offers you the opportunity to work on innovative projects, experience career growth, and gain leadership exposure. If you thrive in a fast-paced, dynamic environment and are passionate about leveraging Generative AI to drive business success, this role is perfect for you.,

Enhancor is a customer service firm specializing in outsourced accounting, regulatory compliance, information technology, and financial services for real estate and property management companies based in the U.S. With offices in New York and Pune, Enhancor provides 24/7, around-the-clock resources to its clients. The Enhancor team has experience interfacing with some of the largest property managers in the world, providing services to multi-family operators, including those with more than $7 billion in real estate assets. We are looking for a Senior AI & Python Developer to lead the design and development of AI-powered features across our platform. You will play a pivotal role in building scalable machine learning systems and integrating AI into our core product offerings. This is an exciting opportunity to work in a fast-paced, innovation-driven environment where your work directly impacts thousands of users. Key Responsibilities: - Design and implement scalable automation frameworks and tools to streamline business and engineering processes. - Lead the development and deployment of machine learning models and AI services tailored for our SaaS platform. - Work closely with cross-functional teams to identify opportunities for automation and streamline workflows to improve process efficiency. - Architect, write, and maintain clean, efficient Python code for AI pipelines and microservices. - Work with large datasets: data preprocessing, model training, evaluation, and optimization. - Drive the implementation of AI/ML features such as predictive analytics, intelligent recommendations, and automated decision-making. - Ensure robust monitoring, testing, and CI/CD practices for AI models in production. - Guide and mentor junior team members on AI best practices and coding standards. - Stay current with the latest AI research and industry trends and evaluate their relevance for product innovation. - Continuously evaluate and optimize existing processes to improve performance, reduce costs, and enhance scalability. Requirements: - Bachelors or masters degree in computer science, Data Science, Artificial Intelligence, or a related field. - 5+ years of professional experience in Python development. - 3+ years of hands-on experience in machine learning, deep learning, or applied AI. - Preferred experience supporting in the real estate and property management industry. - Proven track record of deploying ML models in production environments, preferably for SaaS applications. - Familiarity with ML Ops, model lifecycle management, and data versioning tools (e.g., MLflow, DVC). - Excellent problem-solving skills and the ability to work independently in a dynamic team environment. - Experience with generative AI (e.g., GPT, LLM fine-tuning or prompt engineering). - Background in NLP, computer vision, or recommender systems. - Experience working in Agile environments with tools like Jira, Confluence, or Notion.,

You should have at least 3+ years of relevant experience with the following skills: - Proficiency in Python, machine learning, deep learning, and NLP processing. - Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. - Proficiency in Langchain, LLM. - Ability to prompt and optimize few-shot techniques to enhance LLM's performance on specific tasks. - Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. - Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. - Solid understanding of data structures, algorithms, and principles of software engineering. - Experience with vector databases RDBMS, MongoDB, and NoSQL databases. - Proficiency in working with embeddings. - Strong distributed systems skills and system architecture skills. - Experience in building and running a large platform at scale. - Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. - Experience as a data modeling ML/NLP scientist, including performance tuning, fine-tuning, RLHF, and performance optimization. - Proficient with the integration of data from multiple sources and API design. - Good knowledge of Kubernetes and RESTful design. - Prior experience in developing public cloud services or open-source ML software is an advantage. You should also have a validated background with ML toolkits such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Your experience and strong knowledge of using AI/ML and particularly LLMs will be beneficial in this role.,

You will be a key member of our team as a Software Engineer specializing in AI. Your role will involve working at the cutting-edge intersection of advanced AI technologies and robust backend systems. We are seeking an individual with a strong background in Python development and a keen interest in creating scalable GenAI applications. Your primary responsibilities will revolve around designing, developing, and deploying backend services that support AI-driven systems and user experiences with a focus on LLM-based technologies. Your main tasks will include designing and implementing GenAI pipelines such as LLM orchestration, RAG, and multi-agent workflows using frameworks like LangChain, Agno, LlamaIndex, ReAct, AutoGen, or CrewAI. You will also be responsible for building and maintaining Python backend services utilizing FastAPI or Flask, creating APIs and microservices to expose LLM capabilities, integrating external data sources into AI workflows, and managing model selection, fine-tuning, and optimization for production use. Additionally, you will collaborate closely with product and design teams to translate user requirements into backend AI features. It would be advantageous if you have experience or interest in frontend technologies like React, Next.js, or Vue, as well as deploying applications in cloud environments using tools such as Docker, Kubernetes, and CI/CD pipelines. Familiarity with authentication systems, API gateways, and basic DevOps workflows is also a plus. Exposure to Python libraries for ML/AI such as Transformers, scikit-learn, PyTorch, and TensorFlow would be beneficial. To excel in this role, you should possess at least 4 years of professional experience in Python backend development and machine learning. Experience in building and deploying GenAI applications using LLMs and related orchestration frameworks is essential. A strong understanding of RESTful API design, backend architecture, vector databases, and FastAPI or Flask for production-grade services is required. Additionally, you should have a solid grasp of software engineering principles, testing methodologies, version control practices, and deployment procedures. A proactive mindset and the ability to thrive in dynamic environments are highly valued traits. We value individuals who exhibit ownership, pragmatism, curiosity, and collaboration. Ownership entails taking full responsibility for your work and outcomes, while pragmatism involves balancing innovation with reliability and scalability. Curiosity drives continuous learning and experimentation with new AI tools and trends, while collaboration fosters effective cross-disciplinary teamwork and clear communication. This position is offered as Contract-to-Hire, with the potential for full-time conversion based on your performance and fit within the team.,

As a part of this role, you will be responsible for setting up a Center of Excellence (CoE) and business practice for Enterprise AI solutions. You will be tasked with establishing Data Science & Analytics as a Service (DaaS) and building a practice with capabilities to create solution blueprints and roadmaps, orchestrate data acquisition, management, and engineering, as well as develop AI/ML models to solve analytical problems. It will be essential to stay updated with industry trends and developments to ensure the practice remains cutting-edge. In addition, you will promote collaboration and engagement within the team and with stakeholders. Your responsibilities will include creating technical Proof of Concepts (POCs) and solution demos, driving discussions to evaluate and design AI/ML solutions for various engagements, and implementing a framework across the solutions development lifecycle phases. You will also be required to develop a value tracking mechanism to monitor the Return on Investment (ROI) for AI/ML projects. Furthermore, a key aspect of this role will involve hiring, training, and mentoring a team of AI/ML experts to deliver technical solutions based on AI/ML products and platforms. It will be crucial to possess technical skills such as expertise in AI/ML, statistical modeling, ML techniques, and concepts, as well as experience with agile software development methodology and big-data projects. You should also have a fair understanding of verticals like Insurance, Manufacturing, and Education. Moreover, familiarity with tools and techniques related to data preparation, movement, analysis, visualization, machine learning, and Natural Language Processing (NLP) is essential. Experience in AI/ML enabled solution development leveraging high volume and high-velocity data across disparate systems and supporting large-scale Enterprise analytical solutions will be advantageous. Additionally, having a vision and the ability to set up solution practice groups will be beneficial. In terms of technical skills, it is required to have experience with Spark/Spark MLlib, visualization tools like Tableau/Power BI/Qlik View, cloud platforms such as Azure ML/AWS SageMaker/Snowflake, ML Ops, Automated ML, NLP, and Image/Video Analytics. Non-technical skills like possessing a master's degree in relevant fields, excellent interpersonal and people skills, analytical mindset, good debugging skills, and strong verbal and written English communication skills are also mandatory. Overall, this role offers a challenging opportunity to lead and drive AI/ML initiatives within the organization, requiring a combination of technical expertise, leadership skills, and a passion for innovation in the field of data science and analytics.,

You will be heading the Data Analytics and AI team within the Enterprise Technology Group with a primary purpose of leading and developing a robust team focused on driving the company towards a data-first and data-driven organization. Your role will involve delivering and maintaining smart data-driven solutions essential for growth and operational efficiency. Accelerating the adoption and implementation of AI solutions to enhance innovation and competitive advantage will be a key aspect. Managing all aspects of new data analytics and AI projects from inception to delivery, including day-to-day operations, will be crucial, with a strong emphasis on assessing business value, ROI, and cost reduction. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Math, Quantitative Methods, or Information Systems, with over 10 years of overall technology experience, including substantial experience in data analytics and AI. Proficiency in programming languages such as Python, R, or similar, as well as a deep understanding of algorithms like linear regression, logistic regression, decision trees, random forest, boosting algorithms (e.g., XGBoost), k-means, hierarchical clustering, and principal component analysis is preferred. Familiarity with data science concepts, statistical and mathematical methods, and various Data & AI technologies/tools is essential. Located in Mumbai, this is a full-time office-based position within the Enterprise Technology Group, reporting to the Head of the same group. The key responsibilities will include leading and developing a strong data analytics and AI team, establishing best practices for data analytics and responsible AI initiatives, managing all stages of AI and LLM projects, collaborating with stakeholders to gather requirements, and implementing advanced models and algorithms to solve complex business problems. Staying updated with the latest advancements in AI and LLM technologies will also be a critical aspect of the role. Key behavioral strengths required for this position include excellent analytical, problem-solving, and decision-making skills, proven leadership abilities, effective communication and collaboration skills, and the capacity to work with diverse stakeholders. Joining CulverMax Entertainment Pvt Ltd will offer you the opportunity to work with some of India's leading entertainment channels and OTT platforms, alongside a progressive and inclusive work culture that celebrates diversity and innovation. As a part of the team, you will contribute to creating exceptional content and experiences while being recognized as an Employer of Choice in various prestigious awards and accolades.,

As an individual contributor at Adobe, you will play a pivotal role in driving innovation and shaping the future of digital experiences. Adobe is dedicated to fostering a work environment where every employee is valued, respected, and provided with equal opportunities. Your insights and ideas are highly valued as we strive to build exceptional products and services that cater to a global audience. The opportunity at hand involves working on a cutting-edge Component Content Management System that powers structured content for large enterprises. In this role, you will collaborate with cross-functional teams to identify key project interfaces and implement complex Machine Learning (ML) solutions using technologies such as Natural Language Processing (NLP), Generative AI, and Transformer architectures. Your responsibilities will include developing, evaluating, and deploying scalable ML models, monitoring their performance, and continuously enhancing Adobe's products and services. To excel in this role, you should possess a master's degree or equivalent experience in Machine Learning, with a minimum of 10 years of combined industry experience in ML, software engineering, and data engineering. Proficiency in Python, ML frameworks like PyTorch and TensorFlow, as well as strong programming skills in languages such as Python and Java, are essential. Additionally, you should have a solid understanding of ML Ops, data analysis, and mining using frameworks like Hadoop and Spark. Your ability to drive innovation, collaborate effectively, and adapt to an ever-evolving technological landscape will be crucial in this role. Strong problem-solving skills, excellent communication abilities, and a passion for staying abreast of the latest technological advancements are highly valued. In this dynamic and fast-paced environment, you will have the opportunity to contribute to the growth and success of Adobe while working alongside a diverse and inclusive team. If you are seeking a challenging yet rewarding opportunity to make a significant impact, Adobe is the place for you. Join us in creating exceptional digital experiences and pushing the boundaries of innovation. Explore the possibilities of a career at Adobe by updating your profile and applying for roles that align with your expertise and aspirations. Your journey towards professional growth and accomplishment starts here.,

As the AI Ops, ML Ops, and LLM Ops Manager, your primary responsibility is to oversee the efficient and scalable operations of AI and machine learning models. You will be in charge of managing the entire model lifecycle, covering development, deployment, monitoring, and maintenance. It is crucial to ensure strict adherence to predefined Service Level Agreements (SLAs) for AI and ML operations. To streamline the integration and deployment of models, you will be required to develop and maintain CI/CD Ops pipelines. Additionally, implementing and managing model registries for version control and governance is essential. You will establish coding checklists and best practices while also developing and automating testing frameworks to maintain model quality and reliability. Designing and managing inference pipelines for both real-time and batch predictions will be under your purview. Innovation plays a key role in this role, as you will be expected to adopt emerging technologies such as GenAI, AI, and NLP. Accelerating product/service development through rapid prototyping and iterative methods will be necessary to drive innovation effectively. Furthermore, aligning analytics innovation efforts with business strategy, IT strategy, and legal/regulatory requirements is imperative. You will also be tasked with identifying and developing advanced analytics capabilities and ecosystem partnerships in alignment with the DnA strategy. Key Responsibilities: - Lead AI Ops, ML Ops, and LLM Ops to ensure efficient and scalable operation of AI and machine learning models. - Develop and manage the model lifecycle, including development, deployment, monitoring, and maintenance. - Ensure adherence to predefined SLAs for AI and ML operations. - Create and manage analytics product/services roadmaps from concept to launch. - Develop and maintain CI/CD Ops pipelines for seamless integration and deployment of models. - Implement and manage model registries for version control and governance. - Establish and enforce coding checklists and best practices. - Develop and automate testing frameworks to ensure model quality and reliability. - Design and manage inference pipelines for real-time and batch predictions. - Incubate and adopt emerging technologies (GenAI, AI, NLP) to accelerate product/service development through rapid prototyping and iterative methods. - Align analytics innovation efforts with business strategy, IT strategy, and legal/regulatory requirements. - Establish and update strategies, implementation plans, and value cases for emerging technologies. - Drive innovation using appropriate people, processes, partners, and tools. - Identify and develop advanced analytics capabilities and ecosystem partnerships in alignment with DnA strategy. - Oversee end-to-end delivery of analytics services and products across cross-functional business areas. - Serve as the point of escalation, review, and approval for key issues and decisions. - Manage resource and capacity planning in line with business priorities and strategies. - Foster continuous improvement within the team. - Decide on program timelines, governance, and deployment strategies. Key Performance Indicators: - Achieved targets in Enterprise business case contribution, KPIs, customer satisfaction, and innovation measures. - Delivery on agreed KPIs including business impact - Launch of innovative technology solutions across Novartis at scale. - Business impact and value generated from DDIT solutions. - Adoption and development of Agile Productization and DevOps practices. - Operations stability and effective risk management. - Feedback on customer experience. - Applications adherence to ISC requirements and are audit ready. - Business capability, vision & strategy clearly defined, communicated, and executed, well aligned to business strategy and Enterprise IT strategy, providing a competitive advantage to Novartis. - Role model with the highest standards of professional conduct in leading the business capability area in line with the new IT operating model. - Deployment of digital platforms and services at scale to deliver the digital strategy. Skills And Experience: - Demonstrated experience in Budget Management, Business Acumen, Performance Management, Planning, Project Management, Risk Management, Service Delivery Management, and stakeholder management. - Strong understanding of AI Ops, ML Ops, and LLM Ops. - Experience in developing and managing the model lifecycle, including deployment and maintenance. - Proficiency in managing operations with predefined SLAs. - Expertise in CI/CD Ops pipelines development. - Experience with model registry and management. - Knowledge of coding checklists and best practices. - Proficiency in developing and automating testing frameworks. - Experience in designing and managing inference pipelines. - Production experience with commercial and open-source ML platforms. - Strong knowledge of AWS, Databricks, and Snowflake service offerings. - Ability to collaborate with business teams to gather requirements, groom product backlogs, and drive delivery. - Agile delivery experience managing multiple concurrent delivery cycles. - Solid foundation in CRISP analytical life cycle management. - Strong leadership skills with the ability to build high-performing teams. - Excellent vendor management and IT governance skills. - Innovative and analytical mindset with a focus on continuous improvement. - Emerging Technology Monitoring, Consulting, Influencing & persuading, Unbossed Leadership, IT governance, Building High Performing Teams, Vendor Management, Innovative & Analytical Technologies. - Strong understanding of descriptive vs. prescriptive Analytical frameworks. - Strong knowledge of visualization platforms and project life cycle management, including Power BI, Qlik, and MicroStrategy. - Significant production experience addressing visualization platform and data pipeline performance constraints. - Strong analytical and problem-solving skills, effective communication, and the ability to influence and collaborate with cross-functional teams.,

As a Manager, ML Ops Engineer at Genpact, you will be an integral part of the team responsible for building and maintaining the infrastructure and pipelines for cutting-edge Generative AI applications. Your role will involve collaborating closely with the Generative AI Full Stack Architect to ensure the efficiency, scalability, and reliability of Generative AI models in production. Your responsibilities will include designing, developing, and implementing ML/LLM pipelines for generative AI models, conducting research to explore new techniques, integrating GenAI APIs and microservices into existing systems, and automating ML tasks across the model lifecycle using tools like GitOps, CI/CD pipelines, and containerization technologies. Furthermore, you will be involved in MLOps support and maintenance on ML platforms Dataiku/Sagemaker, implementing version control, CI/CD pipelines, and containerization techniques, designing monitoring and alerting systems, and collaborating with infrastructure and DevOps teams for resource management. To qualify for this role, you should have a Bachelor's degree in computer science, Data Science, Engineering, or a related field, along with a deep understanding of generative AI concepts and experience in MLOps or related areas. Strong expertise in cloud platforms, CI/CD principles, containerization technologies, and monitoring tools is essential. Excellent communication, collaboration, and problem-solving skills are also required, along with a passion for Generative AI and its potential to transform industries. If you are looking to join a dynamic team at Genpact and contribute to the advancement of Generative AI technologies, we encourage you to apply for the Manager, ML Ops Engineer position in India-Bangalore. This is a full-time role with the opportunity to work on cutting-edge projects and make a significant impact in the field of AI. Join us on this exciting journey to shape the future with your expertise in ML Ops and Generative AI!,

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities 0 -2 years of experience as AI/ML engineer or similar role. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with model development and deployment processes. Proficiency in programming languages such as Python. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., GitHub). Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas. Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow. Knowledge on text Analytics, NLP, Gen AI Mandatory Skill Sets ML Ops, AI / ML Preferred Skill Sets ML Ops, AI / ML Years Of Experience Required 0 - 2 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Data Science Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy + 22 more Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date Show more Show less

As a Cyber Security professional, you will be part of the Group Operational, Technology and Cybersecurity Risk (OTCR) organization at Standard Chartered Bank in Chennai, IN. You will play a crucial role in safeguarding the bank's data and IT systems by managing technological, information, and cyber security risks across the enterprise. Reporting into the Group Chief Risk Officer (CRO), your responsibilities will include ensuring the effective implementation of Operational, Technology, and ICS controls in alignment with the Operational Risk Type Framework (ORTF) and the ICS Risk Type Framework. You will be instrumental in fostering a positive culture of Operational, Technology, and Cybersecurity risk management within the bank. Collaborating with the OTCR team, CISO & COO, you will support the Tech and ICS risk management strategy, governance, advisory, and assurance roles for various client businesses, regions, and functions. Your expertise in ICS controls domains such as Network Security Management, End-point Security, Security Incident Management, Cyber Forensic, Cloud Computing, Identity Access Management (IAM), AI/ML, and DevSecOps will be essential. Key responsibilities will involve overseeing and challenging 1st line Tech and ICS risk proposals, monitoring Tech and ICS risks and remediation plans, ensuring regulatory compliance, promoting a healthy Tech and ICS risk culture, and conducting reviews to drive improvements. You will also play a pivotal role in governance, collaborating with teams within TTO and participating in work groups to advise and challenge on Tech and ICS matters. To be successful in this role, you should have a strong background in Cyber Security frameworks, standards, and principles, Cloud and Container Security, Data Science and Analytics, ML Ops, and DevSecOps. A degree in Information and Cyber Security or Technology, along with a minimum of 10 years of experience in information security or risk management, is required. Professional certifications such as CRISC, CCSK/CCSP, CISSP, CISA, CISM are desirable. Your ability to communicate effectively in English, present complex AI/ML risk concepts to non-technical stakeholders, and uphold the highest standards of ethics and compliance will be crucial. By joining Standard Chartered, you will be part of an international bank that values diversity, inclusion, and continuous learning, offering flexible working options, wellbeing support, and opportunities for personal and professional growth. If you are looking for a purpose-driven career in Cyber Security and want to contribute to a bank that makes a positive impact, Standard Chartered welcomes your unique talents and values your commitment to driving commerce and prosperity through diversity and inclusion. For more information and to explore career opportunities, visit www.sc.com/careers.,

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact to ZS. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systemsthe ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector areas for ZS, Beyond Healthcare engagement, comprising clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. The BHCA India team currently has a presence across New Delhi, Pune, and Bengaluru offices and is continuously expanding further at a great pace. The BHCA India team works with colleagues across clients and geographies to create and deliver real-world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. What You'll Do: - Build, Refine and Use ML Engineering platforms and components. - Scaling machine learning algorithms to work on massive datasets and strict SLAs. - Build and orchestrate model pipelines including feature engineering, inferencing, and continuous model training. - Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. - Collaborate with client-facing teams to understand business context at a high level and contribute to technical requirement gathering. - Implement basic features aligning with technical requirements. - Write production-ready code that is easily testable, understood by other developers, and accounts for edge cases and errors. - Ensure the highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews. - Write unit tests as well as higher-level tests to handle expected edge cases and errors gracefully, as well as happy paths. - Use bug tracking, code review, version control, and other tools to organize and deliver work. - Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues, and dependencies. - Consistently contribute to researching & evaluating the latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts, and creating prototype solutions. What You'll Bring: - A master's or bachelor's degree in Computer Science or related field from a top university. - 4+ years hands-on experience in ML development. - Good understanding of the fundamentals of machine learning. - Strong programming expertise in Python, PySpark/Scala. - Expertise in crafting ML Models for high performance and scalability. - Experience in implementing feature engineering, inferencing pipelines, and real-time model predictions. - Experience in ML Ops to measure and track model performance, experience working with MLFlow. - Experience with Spark or other distributed computing frameworks. - Experience in ML platforms like Sage maker, Kubeflow. - Experience with pipeline orchestration tools such as Airflow. - Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML. - Expertise in SQL, SQL DB's. - Knowledgeable of core CS concepts such as common data structures and algorithms. - Collaborate well with teams with different backgrounds/expertise/functions. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client-facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE.,

As an experienced professional with over 5 years of expertise in AI, Cloud Architecture (with a strong emphasis on Azure), and Global SaaS/AI/AgTech Startups, you have the opportunity to shape the future of AI-Driven Agriculture in a high-impact, senior role based in Gurugram, IN. In this role, you will be responsible for architecting scalable AI, IoT, and cloud solutions that contribute to sustainable farming practices. Working closely with the Founder & CEO, CTO, and AI/IoT teams, you will play a pivotal role in defining and executing a global-ready Azure AI-Cloud architecture. Your expertise will be instrumental in expanding the global market presence of AI-driven vertical farms & Agritech platforms into markets such as SEA, UAE, and the US. Your primary responsibilities will include architecting and scaling INNOFarms.AI's AI-powered cloud platform on Azure, optimizing AI-driven data pipelines for real-time farm monitoring, decision-making, and automation, integrating IoT, Robotics, and AI models into a scalable Cloud & Edge Computing framework, and enhancing cybersecurity, compliance, and data privacy measures for global markets. Additionally, you will provide strategic technical direction, guide engineering teams in India(Gurugram) and HK, and collaborate closely with the Founder & CEO/VCs & business teams to align tech strategy with fundraising & global expansion efforts. To excel in this role, you should bring to the table a minimum of 7 years of experience in AI, Cloud, SaaS, or IoT product scaling, deep expertise in Azure technologies such as Deep Azure IoT hub, AI, Event Hubs, CosmosDB, and Serverless Functions, hands-on experience in AI model deployment using tools like ML Ops, TensorFlow, PyTorch, and AutoML, as well as prior experience in scaling AI/SaaS startups globally, particularly in the Middle East, SEA, and US markets. Leadership experience in AI-AgTech or AI Venture would be advantageous, along with a strong ability to mentor remote, distributed engineering teams. Experience in AgriTech, IoT, or Smart Automation Platforms, as well as an understanding of regulatory, security, and compliance requirements for AI-based cloud systems, would be considered a plus for this role. If you are ready to take on this exciting opportunity and contribute to the advancement of AI-driven agriculture, we encourage you to apply by sending your resume to Careers@INNOFarms.ai.,

Looking for Immediate to 15Days of Notice Period and Serving Notice period candidates only Location: Bangalore, Mumbai Role: Contract Role Primary Responsibilities: • Implement and manage AIOps platforms for intelligent monitoring, alerting, anomaly detection, and root cause analysis (RCA). • Possess end-to-end knowledge of VLLM model hosting and inferencing. • Advanced knowledge of public cloud platforms such as AWS and Azure. • Build and maintain machine learning pipelines and models for predictive maintenance, anomaly detection, and noise reduction. • Experience in production support and real-time issue handling. • Design dashboards and visualizations to provide operational insights to stakeholders. • Working knowledge of Bedrock, SageMaker, EKS, Lambda, etc. • 1 to 2 years of experience with Jenkins and GoCD to make build/deploy pipelines. • Hands-on experience with open-source and self-hosted model APIs using SDKs. • Drive data-driven decisions by analyzing operational data and generating reports on system health, performance, and availability. • Basic knowledge of kserve and rayserve inferencing . • Good knowledge of high level scaling using Karpenter , Keda , System based vertical/horizontal scaling. • Strong knowledge on linux operating system or linux certified . • Previous experience with Helm chart deployments and Terraform template and module creation is highly recommended. Secondary Responsibilities: • Proven experience in AIOps and DevOps, with a strong background in cloud technologies (AWS, Azure, Google Cloud). • Proficiency in tools such as Kubeflow, Kserve, ONNX, and containerization technologies (Docker, Kubernetes). • Experience with enterprise-level infrastructure, including tools like terraform, helm, and On-Prem servers hosting. • Previous experience in fintech or AI based tech companies are highly desirable. • Demonstrates the ability to manage workloads effectively in a production environment. • Possesses excellent communication and collaboration skills, with a strong focus on cross-functional teamwork.

What Youll Do Build, Refine and Use ML Engineering platforms and components. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training. Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering. Implement basic features aligning with technical requirements. Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors. Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews. Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths. Uses bug tracking, code review, version control and other tools to organize and deliver work. Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies. Consistently contribute in researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions. What Youll Bring A masters or bachelors degree in Computer Science or related field from a top university. 5+ years hands-on experience in ML development. Good fundamentals of machine learning Strong programming expertise in Python, PySpark/Scala. Expertise in crafting ML Models for high performance and scalability. Experience in implementing feature engineering, inferencing pipelines, and real time model predictions. Experience in ML Ops to measure and track model performance, experience working with MLFlow Experience with Spark or other distributed computing frameworks. Experience in ML platforms like Sage maker, Kubeflow. Experience with pipeline orchestration tools such Airflow. Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML. Expertise in SQL, SQL DB's. Knowledgeable of core CS concepts such as common data structures and algorithms. Collaborate well with teams with different backgrounds / expertise / functions. Additional Skills Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform; Experience in data engineering in Big Data systems

At Uber, we reimagine the way the world moves for the better. The Uber AI Solutions organization, also known as Global Scaled Solutions, is at the forefront of enabling various operations and technologies to support this mission. Our capabilities include data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering, and more. We leverage a combination of technology and human intelligence to efficiently run scaled programs. Within Uber AI Solutions, we focus on delivering high-quality scaled programs in operations, technology, and data analytics for different Uber businesses. We utilize our extensive vendor partner network to execute these programs effectively. Moreover, we aim to expand our impact beyond Uber by offering tech and operations solutions that can help enterprises worldwide accelerate their data, AI, and product initiatives. Through online tasks, we create flexible earning opportunities for millions of individuals globally. Our unique combination of technology, operations expertise, and knowledge work platform positions us as a leading human-in-the-loop solution provider in the industry. About The Role We are seeking an exceptional candidate to drive and oversee programs related to AI training and evaluations within the Engineering Services team of Uber AI Solutions. This role specifically focuses on coding/engineering, agentic AI, data analytics, and related fields. The candidate will have the opportunity to enhance and scale existing capabilities for coding and data applications in AI training, establishing Uber AI Solutions as a leader in data annotation and AI training. What You Will Do - Lead multiple annotation/training/evaluation programs for clients, focusing on coding and data areas - Develop delivery solutions based on client requirements, including sourcing technical talent and managing service delivery quality checks - Engage with client stakeholders to shape project scope, demonstrate capabilities, and ensure successful project governance - Collaborate with Sales to interact with clients and design delivery solutions - Implement a sourcing strategy to acquire technical talent for coding and data-related training/evaluations - Work with Product and Engineering teams to develop tech platform capabilities specific to coding and data analytics tasks - Demonstrate expertise in coding and data analytics AI training/evaluations during client engagements and drive talent supply strategy and platform development - Coach and mentor the program manager team to enhance in-house talent for coding and data AI evaluations/training - Represent coding and data AI capabilities at senior leadership interactions and drive sponsorship for initiatives - Continually improve work processes, enhance delivery maturity, and promote organizational culture What You Will Need - 10+ years of experience in software engineering, ML engineering, and ML operations - Experience in managing delivery services for data annotation, training, and evaluation in coding and development fields - Familiarity with client-facing service management, solutioning, and talent sourcing strategies - Strong communication skills for engaging with senior management and cross-functional teams - Track record of driving innovation and thought leadership in AI/ML training and evaluation services - Ability to collaborate effectively across teams and drive impact in a global organization - Experience in mentoring and coaching team members to facilitate organizational growth,

As an AI Engineer specializing in GenAI & ML Solutions at a leading global credit rating and financial analytics organization, you will be at the forefront of AI innovation in finance technology with exposure to cutting-edge GenAI techniques. Your primary responsibility will be to develop and deploy advanced AI solutions using the latest Generative AI techniques, including Retrieval-Augmented Generation (RAG) pipelines and designing Agentic AI systems to automate complex decision-making workflows. You will also be tasked with fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation and building scalable AI workflows while adhering to robust engineering and code quality standards. In this role, you will lead the end-to-end AI solution development lifecycle, from prototyping and experimentation to deployment on cloud platforms such as AWS, Azure, or GCP. Collaboration with cross-functional global teams, including financial analysts, technology architects, and client stakeholders, will be essential to translate business challenges into AI-driven solutions. Additionally, you will continuously evaluate emerging AI technologies and research to ensure that the organization's AI toolkit remains state-of-the-art. To be successful in this position, you should possess 4 to 7 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies, strong programming skills in Python, and proven experience deploying AI/ML solutions on cloud platforms are required. Exposure to NLP, knowledge graphs, ML ops, or similar related areas would be a significant advantage. Effective communication skills, the ability to collaborate across global teams, and handle client interactions are also important traits for this role. A Bachelors or Masters degree from premier Indian institutes in Computer Science, any Engineering discipline, Mathematics, or related quantitative fields is preferred. Join us in redefining how financial intelligence is powered and delivered through innovative AI solutions that have a real-world impact on business outcomes. Grow your career in an environment that fosters best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms while working in a hybrid setup in Pune or Mumbai.,

You should have a Bachelor's Degree in a technical or quantitative field from an accredited college or university. A Master's or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred. You must have at least 10 years of relevant experience in Machine Learning and Statistics. A strong mathematical background is required, with the ability to understand algorithms and methods both mathematically and intuitively. Your primary responsibilities will include translating business objectives into analytic approaches, identifying data sources to support analysis, and analyzing structured and unstructured data using advanced statistical methods, deep learning, and Generative AI. You will need to perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data, and identify patterns. Proficiency in Python and SQL is essential, along with experience in working with open-source packages and commercial/enterprise applications. You should be comfortable with machine learning and statistical methods such as regression, classification, clustering, ensemble and tree-based models, and time-series analysis. Prior experience or understanding in ML Ops in any cloud platform is required. You should have a strong background in Generative AI, particularly with tools like ChatGPT and CoPilot, and hands-on experience in using APIs to integrate with CoPilot and fabric. Exposure to the Microsoft Tech Stack ecosystem is necessary, along with familiarity with Azure Document Intelligence and Azure Machine Learning for model training and deployment. Additionally, you should be familiar with at least one of the following: Azure AI Language, Azure AI Vision. As part of your role, you will need to communicate results and educate others through reports and presentations. Familiarity with DevOps, code version control, and software development coding best practices is essential. Candidates must hold at least two of the following certifications from Azure: DP-203, MB260, DP-900, AI-102, AI-900.,

You are an experienced Senior DevOps/MLOps Engineer who will be responsible for leading and managing a high-performing engineering team. Your main focus will be on overseeing the deployment and scaling of machine learning models and backend services using modern DevOps and MLOps practices. It is essential that you have proficiency in FastAPI, Docker, Kubernetes, and CI/CD. Your key responsibilities will include guiding and managing a team of DevOps/MLOps engineers, optimizing, containerizing, and deploying FastAPI applications at scale, managing infrastructure using tools like Terraform or Helm, handling multi-environment Kubernetes clusters (GKE, EKS, AKS, or on-prem), managing ML model lifecycle including versioning, deployment, monitoring, and rollback, designing and maintaining robust CI/CD pipelines for model and application deployment, setting up observability tools such as Prometheus, Grafana, ELK, ensuring secure infrastructure and data pipelines. Your required skills should include a deep understanding of building, scaling, and securing APIs with FastAPI, expert-level experience in Docker and Kubernetes for containerization and orchestration, familiarity with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, ArgoCD, or similar, experience with cloud platforms such as AWS/GCP/Azure, strong scripting and automation skills with Python, and knowledge of ML Workflow Tools like MLflow, DVC, Kubeflow, or Seldon. Preferred qualifications for this role include experience in managing hybrid cloud/on-premise deployments, strong communication and mentoring skills, and an understanding of data pipelines, feature stores, and model drift monitoring. This is a full-time, permanent position that requires in-person work location.,

NTT DATA is looking for a Systems Integration Specialist to join their team in Bangalore, Karntaka (IN-KA), India. As a Systems Integration Specialist, your main responsibility will be to build machine learning models for predicting asset health, process anomalies, and optimizing operations. You will also work on sensor data pre-processing, model training, and inference deployment. Collaboration with simulation engineers for closed-loop systems will also be a part of your role. The ideal candidate should have 4-6 years of experience and possess the following skills: - Experience in time-series modeling, regression/classification, and anomaly detection. - Familiarity with Python, scikit-learn, TensorFlow/PyTorch. - Experience with ML Ops on Azure ML, Databricks, or similar. - Understanding of manufacturing KPIs such as OEE, MTBF, and cycle time. NTT DATA is a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in more than 50 countries and a strong partner ecosystem, NTT DATA offers services including business and technology consulting, data and artificial intelligence solutions, industry-specific offerings, as well as development, implementation, and management of applications, infrastructure, and connectivity. As a part of the NTT Group, which invests significantly in R&D, NTT DATA is at the forefront of digital and AI infrastructure globally. If you are an exceptional, innovative, and passionate individual looking to be part of an inclusive and forward-thinking organization, consider applying to NTT DATA for the Systems Integration Specialist role.,

As the leader of the data analytics and AI team, you will play a crucial role in driving our organization towards a data-first and data-driven approach. Your primary responsibility will be to deliver and maintain smart data-driven solutions that are essential for our growth and daily operations. By accelerating the adoption of AI solutions, you will enhance efficiency, foster innovation, and gain a competitive advantage for the company. Your role will involve overseeing all aspects of new data and AI projects, from their inception to delivery, with a strong emphasis on assessing business value, ROI, and cost reduction. Your key responsibilities will include leading and developing a robust data analytics and AI team, establishing best practices and methodologies for data analytics and responsible AI initiatives, managing and overseeing AI and LLM projects, building relationships with business process owners, collaborating with internal and external stakeholders, developing advanced models and algorithms, addressing data mining performance issues, and staying updated on the latest advancements in AI and LLM technologies to improve project outcomes. Preferred skills for this role include proficiency in programming languages such as Python, R, or similar, understanding of algorithms like linear regression, logistic regression, decision trees, random forest, boosting algorithms (e.g., XGBoost), clustering techniques, and principal component analysis. Additionally, familiarity with data science concepts including statistics, probability, data transformation, visualization, storytelling, and deep learning, as well as expertise in statistical and mathematical methods and data & AI technologies/tools like ML Ops, ETL, data lakes, graph databases, NLK, and data optimization will be beneficial for success in this position.,

As a Data Science Consultant at S&C GN, you will be a key contributor to innovative projects and impactful solutions in various domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals, and Forest Product. Your role will involve hands-on technical expertise, client delivery management skills, and the execution of cutting-edge projects in Generative AI, data science, and cloud-based analytics. Your responsibilities will include: Data Science and Engineering: - Performing advanced analytics using Python, SQL, and Pyspark with machine learning frameworks. - Developing predictive models, recommendation systems, and optimization solutions tailored to business needs. - Managing and preprocessing large, complex datasets to ensure efficient pipelines and advanced feature engineering. - Building MLOps pipelines for model training/retraining, monitoring, and scalability. Dashboard and Reporting: - Developing dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. - Presenting results and recommendations to stakeholders, utilizing data storytelling to drive decision-making. Cloud Platform Expertise: - Designing and implementing end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. - Leveraging cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. Generative AI Expertise: - Leading the development of Generative AI-based applications and solutions using frameworks like LangChain, LlamaIndex. - Driving model evaluation strategies with advanced metrics (e.g., BLEU, ROUGE, FID) and optimizing performance for production-grade applications. - Architecting deployment solutions, including API development and seamless integration with existing systems. Required Qualifications: - Experience: 4+ years in data science. - Education: Bachelor's/master's degree in computer science, statistics, applied mathematics, or a related field. - Industry Knowledge: Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals, and Forest Product. Technical Skills: - Programming: Proficiency in Python, SQL, and Pyspark. - GenAI Expertise: Hands-on experience in building GenAI-based applications and solutions, deploying GenAI applications in production. - Cloud Platforms: Experience with Azure/AWS/GCP. - Visualization Tools: PowerBI/Tableau. Preferred Skills: - Strong analytical and problem-solving skills with a results-oriented mindset. - Good communication and stakeholder management capabilities. - Ability to generate business insights and present them effectively to stakeholders. Note: This role requires 4-8 years of experience in data science and a Bachelor's/master's degree in computer science, statistics, applied mathematics, or a related field. Join us at Accenture and be part of our dynamic team.,