499 Mlops Jobs

As a Senior Data Scientist, you will utilize your expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to design, develop, and deploy advanced AI/ML models. Your role will involve solving complex business problems by building, training, and optimizing AI models using Python and relevant ML frameworks. You will implement Azure AI/ML services for scalable deployment and integrate APIs for real-time model inference. Working with large-scale data, you will extract insights to drive strategic initiatives and collaborate with cross-functional teams to integrate AI/ML solutions into applications. Your responsibilities will include designing and developing ML, NLP, and GenAI models, implementing Azure AI/ML services, developing APIs for model deployment, and working with large-scale data to extract insights. You will collaborate with cross-functional teams, implement CI/CD pipelines, ensure adherence to software engineering best practices, stay updated on AI/ML advancements, conduct research on emerging trends, provide technical mentorship, and optimize model performance in a production environment. To excel in this role, you must have proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn, hands-on experience in NLP techniques, expertise in Generative AI models, knowledge of Azure AI/ML services, and experience in developing APIs for model deployment. Familiarity with CI/CD pipelines, software engineering principles, Agile methodologies, statistical analysis, data mining, and data visualization is essential. Preferred qualifications include experience in MLOps, knowledge of vector databases, and exposure to big data processing frameworks. Joining our team as a Senior Data Scientist will offer you a full-time or part-time permanent position with benefits such as health insurance and provident fund. You will work day shifts from Monday to Friday with weekend availability and have the opportunity for performance bonuses. With a minimum of 8 years of experience in Python, Azure AI/ML services, and Senior Data Scientist roles, you will contribute to innovative solutions and drive data-driven decision-making in a collaborative environment.,

As an MLOps Engineer at Neolytix, you will play a crucial role in developing and implementing intelligent claims analysis, prioritization, and denial resolution models for our AI-driven healthcare claims management application. This involves working closely with healthcare experts and engineers to orchestrate Large Language Models (LLMs) and Small Language Models (SLMs) to optimize revenue cycle processes, minimize Accounts Receivable (AR) dollars, and enhance claim resolution efficiency. Your responsibilities will include designing and implementing AI/ML models for claims prioritization, denial resolution, and revenue cycle optimization. You will be tasked with developing and fine-tuning LLMs and SLMs to increase automation in claims management workflows, preprocessing and structuring claims data for effective model training, as well as deploying, managing, and scaling AI models using Azure-based cloud services. Monitoring model performance, retraining, refining algorithms, ensuring compliance with HIPAA and PHI security standards, and documenting technical solutions will also be part of your role. To qualify for this position, you should hold a Bachelor's or Master's degree in computer science, AI/ML, Engineering, or a related field, along with at least 3 years of experience in AI/ML engineering, preferably in healthcare claims automation. Proficiency in Python, strong knowledge of LLMs, NLP, and text analytics for claims processing, experience with Azure ML services, and familiarity with healthcare claims data formats (EDI 837/835) and revenue cycle processes are essential. Additionally, possessing strong analytical, problem-solving, and teamwork skills is crucial for success in this role. Preferred skills for this position include experience with AI-driven denial resolution and automated claims adjudication, understanding of EHR/EMR systems and insurance reimbursement processes, as well as familiarity with DevOps, CI/CD pipelines, and MLOps for scalable AI deployments. Joining Neolytix offers you a competitive salary and benefits package, an opportunity to contribute to innovative AI solutions in the healthcare industry, a dynamic and collaborative work environment, and opportunities for continuous learning and professional growth.,

As a Senior Data Scientist, you will play a crucial role in supporting the design, development, and implementation of generative AI models and systems. Your responsibilities will include assisting in model development, algorithm optimization, data preprocessing, feature engineering, model evaluation, and collaboration with cross-functional teams. You will focus on learning and developing your skills in generative AI while ensuring ethical considerations are adhered to under the guidance of senior team members. Your technical skills should include in-depth knowledge of ML, Deep Learning, NLP algorithms, and experience with ML platforms like GCP Vertex AI, Azure AI Foundry, or AWS SageMaker. Proficiency in Python, Java, or C++, along with machine learning frameworks such as TensorFlow or PyTorch, is essential for developing and optimizing generative AI models. Cloud computing experience, particularly with Google or Azure Cloud Platform, is crucial, as well as an understanding of Data Analytics Services offered by these platforms. Preferred technical skills may include knowledge of Azure Cognitive Search, Google Cloud Search, AWS Kendra, and experience in large-scale deployment of ML projects with a good understanding of DevOps/MLOps/LLM Ops. Strong communication skills, the ability to work independently, mentor junior developers, and understand business objectives to support data needs are key behavioral attributes required for this role. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science and possess 6 to 8 years of relevant work experience. If you are looking to contribute to cutting-edge generative AI projects, collaborate with diverse teams, and stay updated with the latest AI trends, this role is ideal for you.,

As an ideal candidate for this role, you should possess in-depth knowledge of Python and have good experience in creating APIs using FastAPI. You should also have exposure to data libraries like Pandas, DataFrame, NumPy, as well as knowledge in Apache open-source components and Apache Spark. Familiarity with Lakehouse architecture and Open table formats is also desirable. Additionally, you should be well-versed in automated unit testing, preferably using PyTest, and have exposure to distributed computing. Experience working in a Linux environment is a must, while working knowledge in Kubernetes would be considered an added advantage. Basic exposure to ML and MLOps would also be advantageous for this role.,

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. This is an exciting time to join our group Customer Experience and work on something highly strategic to Microsoft. The goal of the Customer Experience Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organizations implementation acts as reference architecture for large companies and helps drive product capabilities. Do you want to lead the design and development of mission-critical platforms at Microsoft The Marketing Engineering team is building the next generation of marketing and store experiences, leveraging AI to transform content generation, personalization, and delivery. We are looking for a Principal Engineering Manager who will grow talent, foster team culture, and drive software development & service excellence in our organization. As a member of our growing org, you will play an integral part in making that happen, navigating us into the future and impacting the lives of people all around the world. This role offers the chance to work on innovative solutions, influence the technical direction of the team, and mentor other engineers to deliver scalable, secure, and reliable platforms. Join us to make a meaningful impact at Microsoft while working on cutting-edge technology. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities - Lead, mentor, and manage a team of software engineers to design, develop, and implement robust and scalable software applications that utilize generative AI techniques. - Drive the integration of AI and machine learning capabilities to enhance platform functionality. - Provide technical leadership, ensuring adherence to best practices, coding standards, and quality benchmarks. - Identify opportunities to improve and optimize existing systems using generative AI. - Define and drive the technical roadmap, aligning with business goals and organizational priorities. - Mentor and coach engineers at all levels to grow their technical skills and foster a high-performing team. - Partner with cross-functional teams to define requirements, solve complex technical challenges, and deliver solutions on time. - Collaborate with stakeholders to establish metrics for success and continuously improve system performance. - Stay informed on industry trends and emerging technologies to bring innovative solutions to the team. - Embody our Culture and Values Qualifications Basic Qualifications: - Knowledge of machine learning algorithms and concepts (e.g., supervised learning, unsupervised learning, deep learning) as applied to generative AI. - 3+ years of people management experience in software engineering domain. - 3+ years of professional experience in technical role developing, training, evaluating and deploying ML solutions at scale for real-world problems. - 10+ years of professional software development experience, with a proven track record of designing and delivering large-scale, distributed systems. - Proficiency in programming languages such as Python, C#, or Java. - Deep knowledge of cloud platforms (Azure, AWS, GCP) and modern software development practices (e.g., microservices, CI/CD, DevOps). - Demonstrated ability to lead and mentor engineering teams, fostering a collaborative and high-performing culture. - Excellent problem-solving skills and ability to handle ambiguity in technical requirements. - Excellent cross-group and interpersonal skills, with the ability to articulate solutions. - Bachelor's or master's degree with relevant coursework in Computer Science, Data Science, Statistics, Machine Learning, Data Mining, or equivalent work experience. Preferred Qualifications - Experience in designing and implementing MLOps strategies for model deployment, monitoring, and governance. - Familiarity in deep learning architectures (Transformers, CNNs, RNNs) and knowledge of Natural Language Processing (NLP). - Experience with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and their application to real-world problems. - Knowledge of containers (Docker) and orchestration tools like Kubernetes. - Strong analytical mind and a confident decision maker. - Excellent computer science fundamentals in algorithmic design, data structures, and analyzing complexity. - Ability to balance competing demands and adapt to changing priorities. - Experience mentoring junior engineers and data scientists, providing technical guidance and code reviews. - Designing and implementing applications using Low Code/No Code platforms would be a plus - nice to have. Be part of an innovative team where you can lead, mentor, and make a lasting impact. Join us in shaping the future of marketing experiences at Microsoft!,

As an Artificial Intelligence (AI) Developer in our team, you will have the exciting opportunity to blend cutting-edge AI techniques with scalable web application architectures to design and build intelligent systems. Working closely with cross-functional teams, including data scientists, software engineers, and product managers, you will develop end-to-end solutions that enhance business operations and deliver exceptional user experiences. Your responsibilities will include full-stack development, where you will architect, design, and develop both frontend and backend components of AI-driven web applications. You will build responsive and user-friendly interfaces using modern JavaScript frameworks such as React, Angular, or Vue.js, along with robust backend services using technologies like Node.js, Django, or .NET. Furthermore, you will be responsible for developing and integrating secure RESTful and GraphQL APIs to connect AI models with cloud services and third-party systems. Leveraging cloud platforms like AWS, Azure, or GCP, you will deploy and manage scalable applications and services effectively. Collaborating with data scientists, you will integrate machine learning models, natural language processing, computer vision, and other AI techniques into web applications. You will optimize AI workflows by ensuring seamless data exchange and efficient model inference across the technology stack. In terms of DevOps and deployment, you will implement CI/CD pipelines, containerization using tools like Docker and Kubernetes, and automated testing to ensure efficient and reliable releases. Monitoring application performance and troubleshooting issues in real-time will be essential to maintain high-quality production environments. Your role will also involve close collaboration with cross-functional teams to gather requirements, deliver project updates, and ensure solutions align with business needs. Documenting development processes, API specifications, and integration practices will be crucial to support future enhancements and maintenance. To excel in this role, you must have a degree in Computer Science, Data Science, Engineering, or a related field. Additionally, you should possess a minimum of 5 years of experience with full-stack development and at least 2 years of experience with AI development. Hands-on experience in programming languages like Python, JavaScript (or TypeScript), and/or C#, along with expertise in front-end and backend frameworks, cloud platforms, containerization, and data management, will be essential. If you are detail-oriented, possess strong problem-solving, analytical, and communication skills, and have a passion for continuous learning and innovation, this role is perfect for you. Join us at the intersection of AI and full-stack web development to create robust, intelligent systems that scale in the cloud while delivering intuitive and responsive user experiences.,

Job Description: We are looking for a highly skilled AI/ML Architect who possesses a strong background in Data Engineering and a demonstrated ability to utilize Design Thinking principles in addressing complex business issues. As the ideal candidate, you will have a pivotal role in shaping comprehensive AI/ML solutions, spanning from data architecture to model deployment. Your focus will be on ensuring that the design is user-centric, scalable, and in alignment with the business objectives. Key Responsibilities: - Take the lead in architecting and designing AI/ML solutions across various business domains. - Collaborate closely with stakeholders to identify use cases and transform them into scalable, production-ready ML architectures. - Employ design thinking methodologies to foster innovative and user-centric solution designs. - Design data pipelines and feature engineering processes for both structured and unstructured data. - Oversee the entire ML lifecycle, encompassing data preprocessing, model training, evaluation, deployment, and monitoring. - Uphold best practices in MLOps, which includes CI/CD for ML, model governance, and strategies for retraining. - Work collaboratively with data scientists, engineers, and product teams to ensure that the architecture aligns with business goals. - Provide mentorship and guidance to engineering and data science teams regarding solution design, performance optimization, and system integration. Experience: 10 to 15 years Job Reference Number: 13029,

Join Amgen's Mission of Serving Patients At Amgen, you will be part of something bigger, driven by our shared mission to serve patients living with serious illnesses. Since 1980, Amgen has been a pioneer in the world of biotech, focusing on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease, reaching millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that help people live longer, fuller, and happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you are passionate about challenges and the opportunities they present, you will thrive as part of the Amgen team. Join us to make a lasting impact on patients" lives and transform your career. Data Scientist (US Value & Access Insights) In this vital role at Amgen, you will develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Your responsibilities will include creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: - Ensuring that models are trained with the latest data and meet SLA expectations - Acting as a subject matter expert in solving development and commercial questions - Collaborating with a global cross-functional team on the AI tools roadmap - Working in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics - Utilizing technical skills such as hypothesis testing, machine learning, and retrieval processes for statistical and data mining techniques - Performing exploratory and targeted data analyses using descriptive statistics and other methods - Collaborating with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights - Developing and integrating custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities to enhance decision-making and efficiency What We Expect Of You Basic Qualifications: - Masters degree with 1 to 3 years of computer science, statistics, or STEM majors with at least 1 year of Information Systems experience - Bachelors degree with 3 to 5 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Diploma with 7 to 9 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Experience with analytic software tools or languages like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Preferred Qualifications: - Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) - Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) - Outstanding analytical and problem-solving skills, ability to learn quickly, excellent communication and interpersonal skills - Experience with data engineering, pipeline development, NLP techniques for text analysis, sentiment analysis, time-series data analysis, forecasting, trend analysis, AWS, Azure, Google Cloud, Databricks platform for data analytics, and MLOps Professional Certifications: - Any AWS Developer certification (preferred) - Any Python and ML certification (preferred) Soft Skills: - Initiative to explore alternate technology and approaches to problem-solving - Skilled in breaking down problems, documenting problem statements, and estimating efforts - Excellent analytical and troubleshooting skills - Strong verbal and written communication skills - Ability to work effectively with global, virtual teams - High degree of initiative and self-motivation - Ability to manage multiple priorities successfully - Team-oriented, with a focus on achieving team goals What You Can Expect Of Us At Amgen, we support your professional and personal growth and well-being as we develop treatments to take care of others. We offer competitive benefits and a collaborative culture to support your journey every step of the way. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com. As an organization dedicated to improving the quality of life globally, Amgen fosters an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and live by Amgen values to advance science in serving patients. We ensure individuals with disabilities are provided reasonable accommodation throughout the job application process. Contact us to request accommodation.,

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, the mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. In collaboration with leading academics, industry experts, and highly skilled engineers, the goal is to equip customers to generate sophisticated new insights from the biggest of big data. Join the team to do the best work of your career and make a profound social impact as an Advisor on the Data Science Team in Bangalore. As a Data Science Advisor, you will contribute to the business strategy and influence decision-making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. Designing processes to consolidate and examine unstructured data to generate actionable insights will be part of your responsibilities. Additionally, you will partner with business leaders, engineers, and industry experts to construct predictive models, algorithms, and probability engines. You will: - Partner with internal and external teams to understand customer requirements and develop proposals. - Conduct interactions with external customers to gather project requirements, provide status updates, and share analytical insights. - Implement preliminary data exploration and data preparation steps for model development/validation. - Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. - Solution, build, deploy, and set up monitoring for models. Qualifications: - 6+ years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI. - Working experience in data visualization (e.g., Power BI, matplotlib, plotly). - Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB. - Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management. - Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks. Desirable Skills: - Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ). - Experience with cloud platforms (e.g., AWS, Azure, GCP). - Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django). - Skilled in programming languages like Java or JavaScript. Dell Technologies is committed to providing equal employment opportunities for all employees and creating a work environment free of discrimination and harassment. If you are looking for an opportunity to grow your career with advanced technology and some of the best minds in the industry, this role might be the perfect fit for you. Join Dell Technologies to build a future that works for everyone because Progress Takes All of Us.,

As a Technical Manager, you will lead and manage a team of software engineers to ensure high performance and quality delivery. Your responsibilities will include designing, developing, and maintaining scalable and robust Python applications. You will architect and implement cloud solutions on AWS and Azure, adhering to best practices in security, scalability, and cost-efficiency. Collaborating with cross-functional teams, you will define, design, and ship new features while mentoring and guiding team members in their technical and professional growth. In this role, you will implement DevOps practices to streamline CI/CD pipelines and automate deployment processes. Developing and maintaining APIs using FastAPI and GraphQL will be part of your tasks, ensuring that the team follows best practices in coding, testing, and documentation. You will also oversee database design, optimization, and maintenance, driving productivity within the team by implementing efficient workflows and leveraging code assist tools. To be successful in this position, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as a Technical Manager or in a similar role, leading large teams, is required. Strong proficiency in Python programming, extensive experience with AWS or Azure cloud services, and a solid understanding of DevOps practices and tools are essential. Experience with FastAPI and GraphQL, database systems (SQL and NoSQL), design patterns, and microservices architecture is also necessary. Additionally, familiarity with MLOps for deploying and managing machine learning models, LLMOps for large language model operations, Databricks for big data processing and analytics, and excellent problem-solving skills with attention to detail are desired. Strong communication and leadership skills, along with the ability to drive productivity and enhance team efficiency using code assist tools, will be valuable assets in this role.,

The team at Walmart Global Tech builds reusable technologies to assist in acquiring customers, onboarding and empowering merchants, and ensuring a seamless experience for all stakeholders. They focus on optimizing tariffs and assortment while maintaining Walmart's philosophy of Everyday Low Cost. Additionally, the team creates personalized omnichannel experiences for customers across various platforms. The Marketplace team serves as the gateway for Third-Party sellers, enabling them to manage their onboarding, catalog, orders, and returns. They are responsible for designing, developing, and operating large-scale distributed systems using cutting-edge technologies. As a Staff Data Scientist at Walmart Global Tech, you will be responsible for developing scalable end-to-end data science solutions for data products. You will collaborate with data engineers and analysts to build ML- and statistics-driven data quality workflows. Your role will involve solving business problems by scaling advanced Machine Learning algorithms on large datasets. You will own the MLOps lifecycle, from data monitoring to model lifecycle management. Additionally, you will demonstrate thought leadership by consulting with product and business stakeholders to deploy machine learning solutions. The ideal candidate should have knowledge of machine learning and statistics, experience with web service standards, and proficiency in architecting solutions with Continuous Integration and Continuous Delivery. Strong coding skills in Python, experience with Big Data technologies like Hadoop and Spark, and the ability to work in a big data ecosystem are preferred. Candidates should have experience in developing and deploying machine learning solutions and collaborating with data scientists. Effective communication skills and the ability to present complex ideas clearly are also desired. Educational qualifications in Computer Science, Statistics, Engineering, or related fields are preferred. Candidates with prior experience in Delivery Promise Optimization or Supply Chain domains and hands-on experience in Spark or similar frameworks will be given preference. At Walmart Global Tech, you will have the opportunity to work in a dynamic environment where your contributions can impact millions of people. The team values innovation, collaboration, and continuous learning. Join us in reimagining the future of retail and making a difference on a global scale. Walmart Global Tech offers a hybrid work model that combines in-office and virtual presence. The company provides competitive compensation, incentive awards, and a range of benefits including maternity leave, health benefits, and more. Walmart fosters a culture of belonging where every associate is valued and respected. The company is committed to creating opportunities for all associates, customers, and suppliers. As an Equal Opportunity Employer, Walmart believes in understanding, respecting, and valuing the uniqueness of individuals while promoting inclusivity.,

As a Partner Solution Engineer at Snowflake, you will play a crucial role in technically onboarding and enabling partners to re-platform their Data and AI applications onto the Snowflake AI Data Cloud. Collaborating with partners to develop Snowflake solutions in customer engagements, you will work with them to create assets and demos, build hands-on POCs, and pitch Snowflake solutions. Additionally, you will assist Solution Providers/Practice Leads with the technical strategies that enable them to sell their offerings on Snowflake. Your responsibilities will include keeping partners up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about the latest technology solutions and benefits. Running technical enablement programs to provide best practices and solution design workshops to help partners create effective solutions will also be part of your role. Success in this position will require you to drive strategic engagements by quickly grasping new concepts and articulating their business value. You will showcase the impact of Snowflake through compelling customer success stories and case studies, demonstrating a strong understanding of how partners make revenue through the industry priorities and complexities they face. Preferred skill sets and experiences for this role include having a total of 10+ years of relevant experience, experience working with Tech Partners, ISVs, and System Integrators (SIs) in India, and developing data domain thought leadership within the partner community. You should also have presales or hands-on experience with Data Warehouse, Data Lake, or Lakehouse platforms, as well as experience with partner integration ecosystems like Alation, FiveTran, Informatica, dbtCloud, etc. Having hands-on experience and strong knowledge of Docker and how to containerize Python-based applications, knowledge of Container networking and Kubernetes, and proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD), including DataOps and MLops are desirable skills. Experience in the AI/ML domain is a plus. Snowflake is rapidly expanding, and as part of the team, you will help enable and accelerate the company's growth. If you share Snowflake's values, challenge ordinary thinking, and push the pace of innovation while building a future for yourself and Snowflake, this role could be the perfect fit for you. Please visit the Snowflake Careers Site for salary and benefits information if the job is located in the United States.,

We are looking for a highly skilled and experienced Senior Python & ML Engineer with expertise in PySpark, machine learning, and large language models (LLMs). You will play a key role in designing, developing, and implementing scalable data pipelines, machine learning models, and LLM-powered applications. In this role, you will need to have a solid understanding of Python's ecosystem, distributed computing using PySpark, and practical experience in AI optimization. Your responsibilities will include designing and maintaining robust data pipelines with PySpark, optimizing PySpark jobs for efficiency on large datasets, and ensuring data integrity throughout the pipeline. You will also be involved in developing, training, and deploying machine learning models using key ML libraries such as scikit-learn, TensorFlow, and PyTorch. Tasks will include feature engineering, model selection, hyperparameter tuning, and integrating ML models into production systems for scalability and reliability. Additionally, you will research, experiment with, and integrate state-of-the-art Large Language Models (LLMs) into applications. This will involve developing solutions that leverage LLMs for tasks like natural language understanding, text generation, summarization, and question answering. You will also fine-tune pre-trained LLMs for specific business needs and datasets, and explore techniques for prompt engineering, RAG (Retrieval Augmented Generation), and LLM evaluation. Collaboration is key in this role, as you will work closely with data scientists, engineers, and product managers to understand requirements and translate them into technical solutions. You will mentor junior team members, contribute to best practices for code quality, testing, and deployment, and stay updated on the latest advancements in Python, PySpark, ML, and LLMs. Furthermore, you will be responsible for deploying, monitoring, and maintaining models and applications in production environments using MLOps principles. Troubleshooting and resolving issues related to data pipelines, ML models, and LLM applications will also be part of your responsibilities. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Strong proficiency in Python programming, PySpark, machine learning, and LLMs is essential. Experience with cloud platforms like AWS, Azure, or GCP is preferred, along with strong problem-solving, analytical, communication, and teamwork skills. Nice-to-have skills include familiarity with R and Shiny, streaming data technologies, containerization technologies, MLOps tools, graph databases, and contributions to open-source projects.,

You are seeking a dynamic professional with 1-2 years of hands-on experience in data science and generative AI. The ideal candidate will have a strong foundation in machine learning techniques, generative AI, RAG, and experience with productionizing ML models, preferably in cloud environments. Additionally, experience in developing and implementing Agentic AI systems for context-aware and dynamic solutions is highly desirable. You will be responsible for developing and implementing state-of-the-art techniques in Large Language Models (LLM) and Generative AI. This includes designing and implementing RAG (Retrieval-Augmented Generation) techniques to enhance LLM-based systems by integrating external knowledge for dynamic and contextually accurate responses. You will also be developing and integrating Agentic AI systems to enable dynamic, context-aware decision-making. Other responsibilities include ML Model building and deployment on the cloud, leveraging MLOPS techniques, building end-to-end model pipelines, and staying abreast of industry trends, emerging technologies, and advancements in AI/ML. To qualify for this role, you should hold a Bachelors or Masters degree in computer science, Data Science, or a related field. You should have 1-2 years of practical experience in AI/ML and data science, with a proven track record in the field of Large Language Models (LLM) and Generative AI. Demonstrated experience in developing and implementing Agentic AI systems for context-aware and dynamic solutions is required. Hands-on experience with RAG techniques, including integrating external knowledge bases into generative AI workflows, and experience with MLOPS and building end-to-end model pipelines on any cloud environment are essential. Excellent problem-solving skills and the ability to work in a collaborative environment are also key qualifications for this position. If you meet these qualifications and are looking for an opportunity to enhance your career in the field of Data Analytics and AI, we encourage you to apply for this position with us at Cittabase.,

With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk-first approach to model development. As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will be expected to guide and lead junior data scientists. Job responsibilities include participating in cutting-edge research and applying machine learning and data science methodologies to financial markets and related operations. Analyzing the models through a risk-based lens and collaborating with developers to reduce model risk. Providing feedback and collaborating with users and developers to ensure optimal development of ML models. Developing and maintaining a list of tests to validate various common techniques used to build Machine learning models. Guiding models through the review process and enhancing and improving them as required. Evaluating new ML vendor tools for usefulness, effectiveness, and ease of deployment in CIB. Understanding the ever-evolving ML development standards and processes and communicating with developers to ensure compliance. Required qualifications, capabilities, and skills include a Masters, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields. Mastery of advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools. Strong written and oral communication and interpersonal skills. Strong Stakeholder & Project Management skills. Ability to ask incisive questions, converge on critical matters, assess materiality, and escalate issues. Basic understanding of the company's business practices and familiarity with the company's products and services. Preferred qualifications, capabilities, and skills include programming experience with Python; experience in MLOps would be a positive. Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams. Experience in developing testing frameworks for ML models. Experience in handling multiple stakeholders.,

You will be joining our team as a Senior Data Scientist with expertise in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate should possess a minimum of 5-7 years of experience in data science, focusing on AI/ML applications. You are expected to have a strong background in various ML algorithms, programming languages such as Python, R, or Scala, and data processing frameworks like Apache Spark. Proficiency in data visualization tools and experience in model deployment using Docker, Kubernetes, and cloud services will be essential for this role. Your responsibilities will include end-to-end AI/ML project delivery, from data processing to model deployment. You should have a good understanding of statistics, probability, and mathematical concepts used in AI/ML. Additionally, familiarity with big data tools, natural language processing techniques, time-series analysis, and MLOps will be advantageous. As a Senior Data Scientist, you are expected to lead cross-functional project teams and manage data science projects in a production setting. Your problem-solving skills, communication skills, and curiosity to stay updated with the latest advancements in AI and ML are crucial for success in this role. You should be able to convey technical insights clearly to diverse audiences and quickly adapt to new technologies. If you are an innovative, analytical, and collaborative team player with a proven track record in AI/ML project delivery, we invite you to apply for this exciting opportunity.,

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 1000 companies. With a presence in more than 45 countries across five continents, Evalueserve excels in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate clients" business impact and strategic decision-making. The team at Evalueserve consists of 4,500+ talented professionals operating across 45 countries, spanning India, China, Chile, Romania, the US, Canada, as well as emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in multiple countries, Evalueserve offers a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all. Evalueserve University has been established to design and deliver a Global Learning Strategy integral to business success. From new graduate onboarding to leadership skill development workshops and domain-specific knowledge programs, the university strengthens structured learning opportunities. As a member of the Evalueserve team, you will partner with business leaders and subject matter experts to design and deliver learning programs focused on developing key competencies in Data Science. You will manage, enhance, and deliver signature boot-camp training programs for new hires globally and collaborate with Operations to identify training needs for on-role analysts. Additionally, you will create new learning content, monitor training quality and effectiveness, and ensure alignment with business needs. To excel in this role, you should have 5-10 years of experience in Data Science, along with proficiency in Cloud Fundamentals (Azure/AWS/GCP), Python, Machine Learning, LLM Ops, MLOps, Project Management, and NLP. Advanced skills in Computer Vision, Deep Learning, and other frameworks are desirable. Experience in Data Warehousing/Data Engineering/Big Data is an added advantage. A graduation degree is a prerequisite, along with excellent communication and interpersonal skills, and proficiency in Excel and PowerPoint. If you are ready to elevate your impact through innovation and learning, Evalueserve welcomes you to join its dynamic team and contribute to its mission of delivering cutting-edge solutions to clients worldwide.,

At Rhythm, our values serve as the cornerstone of our organization. We are deeply committed to customer success, fostering innovation, and nurturing our employees. These values shape our decisions, actions, and interactions, ensuring that we consistently create a positive impact on the world around us. Rhythm Innovations is currently looking for a skilled and enthusiastic Machine Learning (ML) Developer to conceptualize, create, and implement machine learning models that enhance our supply chain risk management and other cutting-edge solutions. As an ML Developer, you will collaborate closely with our AI Architect and diverse teams to construct intelligent systems that tackle intricate business challenges and further our goal of providing unparalleled customer satisfaction. Key Responsibilities Model Development: Devise, execute, and train machine learning models utilizing cutting-edge algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Data Preparation: Process, refine, and convert extensive datasets for the training and assessment of ML models. Feature Engineering: Identify and engineer pertinent features to enhance model performance and precision. Algorithm Optimization: Explore and implement advanced algorithms to cater to specific use cases such as classification, regression, clustering, and anomaly detection. Integration: Coordinate with software developers to integrate ML models into operational systems and guarantee smooth functionality. Performance Evaluation: Assess model performance using suitable metrics and consistently refine for accuracy, efficacy, and scalability. MLOps: Aid in establishing and overseeing CI/CD pipelines for model deployment and monitoring in production environments. Research and Development: Stay abreast of the latest breakthroughs in Gen AI AI/ML technologies and propose inventive solutions. Collaboration: Engage closely with data engineers, product teams, and stakeholders to grasp requirements and deliver customized ML solutions. Requirements Educational Background: Bachelor's in Engineering in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: 3 to 6 years of practical experience in developing and deploying machine learning models. Technical Skills Proficiency in Python and ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Familiarity with big data frameworks (Hadoop, Spark) is advantageous. Knowledge of SQL/NoSQL databases and data pipeline tools (e.g., Apache Airflow). Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and their Gen AI AI/ML services. Thorough understanding of supervised and unsupervised learning, deep learning, and reinforcement learning. Exposure to MLOps practices and model deployment pipelines. Soft Skills Strong problem-solving and analytical abilities. Effective communication and teamwork skills. Capability to thrive in a dynamic, collaborative environment.,

As a Data Scientist at Setu, you will have the opportunity to be a part of a team that is revolutionizing the fintech landscape. Setu believes in empowering every company to become a fintech company by providing them with cutting-edge APIs. The Data Science team at Setu is dedicated to understanding the vast population of India and creating solutions for various fintech sectors such as personal lending, collections, PFM, and BBPS. In this role, you will have the unique opportunity to delve deep into the business objectives and technical architecture of multiple companies, leading to a customer-centric approach that fosters innovation and delights customers. The learning potential in this role is immense, with the chance to explore, experiment, and build critical, scalable, and high-value use cases. At Setu, innovation is not just a goal; it's a way of life. The team is constantly pushing boundaries and introducing groundbreaking methods to drive business growth, enhance customer experiences, and streamline operational processes. From computer vision to natural language processing and Generative AI, each day presents new challenges and opportunities for breakthroughs. To excel in this role, you will need a minimum of 2 years of experience in Data Science and Machine Learning. Strong knowledge in statistics, tree-based techniques, machine learning, inference, hypothesis testing, and optimizations is essential. Proficiency in Python programming, building Data Pipelines, feature engineering, pandas, sci-kit-learn, SQL, and familiarity with TensorFlow/PyTorch are also required. Experience with deep learning techniques and understanding of DevOps/MLOps will be a bonus. Setu offers a dynamic and inclusive work environment where you will have the opportunity to work closely with the founding team who built and scaled public infrastructure such as UPI, GST, and Aadhaar. The company is dedicated to your growth and provides various benefits such as access to a fully stocked library, tickets to conferences, learning sessions, and development allowance. Additionally, Setu offers comprehensive health insurance, access to mental health counselors, and a beautiful office space designed to foster creativity and collaboration. If you are passionate about making a tangible difference in the fintech landscape, Setu offers the perfect platform to contribute to financial inclusion and improve millions of lives. Join us in our audacious mission and obsession with craftsmanship in code as we work together to build infrastructure that directly impacts the lives of individuals across India.,

You are a highly skilled and experienced Senior Engineer in Data Science who will be responsible for designing and implementing next-generation data science solutions. Your role will involve shaping the data strategy and driving innovation through advanced analytics and machine learning. In this position, your responsibilities will include providing technical leadership and designing end-to-end data science solutions. This encompasses data acquisition, ingestion, processing, storage, modeling, and deployment. You will also be tasked with developing and maintaining scalable data pipelines and architectures using cloud-based platforms and big data technologies to handle large volumes of data efficiently. Collaboration with stakeholders to define business requirements and translate them into technical specifications is essential. As a Senior Engineer in Data Science, you will select and implement appropriate machine learning algorithms and techniques, staying updated on the latest advancements in AI/ML to solve complex business problems. Building and deploying machine learning models, monitoring and evaluating model performance, and providing technical leadership and mentorship to junior data scientists are also key aspects of this role. Furthermore, you will contribute to the development of data science best practices and standards. To qualify for this position, you should hold a B.Tech/M.Tech/M.Sc (Mathematics/Statistics)/PhD from India or abroad. You are expected to have at least 4+ years of experience in data science and machine learning, with a total of around 7+ years of overall experience. A proven track record of technical leadership and implementing complex data science solutions is required, along with a strong understanding of data warehousing, data modeling, and ETL processes. Expertise in machine learning algorithms and techniques, time series analysis, programming proficiency in Python, knowledge of general data science tools, domain knowledge in Industrial, Manufacturing, and/or Healthcare, proficiency in cloud-based platforms and big data technologies, and excellent communication and collaboration skills are all essential qualifications for this role. Additionally, contributions to open-source projects or publications in relevant fields will be considered an added advantage.,

As an AI Engineer at Tiger Analytics in the Data and AI team, you will have the opportunity to work on internal strategic initiatives as well as tackle complex AI/ML challenges for clients. Your role will involve collaborating closely with senior leadership, including one of the founders, to develop an innovative enterprise platform. This platform will serve as a digital twin of existing systems, functioning as an intelligent bot/platform that offers real-time insights and guidance on tasks. If you have a passion for Generative AI, LLMs, and cutting-edge technologies, and enjoy creating high-impact solutions, we invite you to join our team. Your responsibilities will include: - Working with leadership to grasp the vision, scope, and requirements of the enterprise platform. - Designing and constructing a smart, AI-driven platform that optimizes projects with real-time intelligence. - Utilizing advanced technologies like LLMs (Large Language Models) and Generative AI to develop transformative tools. - Integrating the platform seamlessly with existing organizational systems to ensure smooth operations. - Contributing to the development of scalable, reliable, and high-performance software solutions. - Engaging in peer reviews and promoting code quality within the team. The ideal candidate for this role should possess: - 2-6 years of experience in MLE/MLOps/AI Engineering. - Previous exposure to LLMs, Generative AI, or similar AI technologies. - Proficiency in backend development using Python (Django/Flask) or equivalent technologies. - A solid understanding of APIs and microservices architecture. - The ability to collaborate effectively with cross-functional teams in a dynamic environment. - A keen interest in learning and leveraging new technologies to address intricate challenges. At Tiger Analytics, we value diversity and inclusivity. We encourage individuals with varying skill sets and qualities to apply, even if they do not meet all the criteria for the role. We are committed to being an equal opportunity employer, fostering a culture where listening, trust, respect, and personal growth are prioritized. Please note that the job title and compensation will be determined based on your expertise and experience level. Additionally, our competitive compensation packages are designed to be among the best in the industry. In addition to your salary, we offer a range of benefits including health insurance for yourself and your family, access to a virtual wellness platform, and opportunities to engage with various knowledge communities.,

As the Lead AI Strategist & Architect at DivyaSree's AI Division, you will drive early-stage AI vision and system design to establish a foundation for scalable AI adoption. The AI Division at DivyaSree is a dynamic startup within the organization, focused on reshaping real estate, education, and hospitality through AI innovation. You will play a pivotal role in defining the high-level AI roadmap, architecting secure and scalable AI systems, and leading the development of AI solutions for internal workflows and customer-facing tools. Your responsibilities will include setting up data pipelines, cloud infrastructure, and MLOps practices while also focusing on research, IP creation, team building, and ecosystem partnerships. To excel in this role, you should have at least 7 years of experience in developing and deploying AI/ML solutions in production environments. Proficiency in multiple AI domains such as NLP, computer vision, and generative AI is essential, along with a strong software engineering background and expertise in Python and relevant AI frameworks. Experience with cloud platforms and MLOps practices is also required. Preferred qualifications include an advanced degree in AI, Machine Learning, or a related field, hands-on experience with generative AI, LLMs, and agent-based systems, as well as contributions to open-source projects or research publications in AI-related fields. Knowledge of data privacy, security, and ethical considerations in AI implementation is also beneficial. In return, DivyaSree offers a unique opportunity to lead the AI vision from day zero, influence both business and tech decisions, work on cutting-edge projects, receive full support from leadership, and have the chance to make a significant impact on the AI ecosystem in India. Join us in building a bold future in AI innovation and be part of a team committed to creating lasting change through technology.,

You are a highly skilled and experienced Python Developer with over 3 years of professional experience, seeking an exciting opportunity in the field of Machine Learning and AI. You will be joining our dynamic team at Chicmic Studios, where you will be responsible for developing and maintaining web applications using Django and Flask frameworks. Your expertise in deploying and managing applications on AWS will be crucial for optimizing performance and reliability. As a Python Machine Learning & AI Developer, your key responsibilities will include designing and implementing RESTful APIs using Django Rest Framework (DRF), integrating APIs for AI/ML models into existing systems, and creating scalable machine learning models using frameworks like PyTorch and TensorFlow. You will also be implementing transformer architectures for NLP and other advanced AI use cases, optimizing machine learning models through techniques such as hyperparameter tuning, and deploying them in production environments using tools like TensorFlow Serving and AWS SageMaker. To excel in this role, you must have a Bachelor's degree in Computer Science, Engineering, or a related field, along with a strong understanding of Python and its ecosystem. Your extensive experience with Django and Flask frameworks, AWS services, Django Rest Framework (DRF), and machine learning frameworks such as PyTorch and TensorFlow will be essential. Additionally, familiarity with SQL and NoSQL databases, MLOps practices, and front-end technologies will be beneficial. You should possess excellent problem-solving skills, the ability to work independently and collaboratively, and strong communication skills to effectively articulate complex technical concepts to non-technical stakeholders. Staying up-to-date with the latest industry trends and technologies, particularly in AI/ML, will be essential for delivering effective technical solutions and ensuring the success of our projects. If you meet the requirements and are passionate about leveraging Python, Machine Learning, and AI technologies to drive innovation, we encourage you to apply for this full-time position at Chicmic Studios, located at F273, Phase 8b Industrial Area Mohali, Punjab. Kindly contact us at 9875952836 for further details. Application Questions: - What is your Native & Current Location - What is your Highest Qualification Experience: - AI & ML: 2 years (Required) Work Location: In person,

We are looking for a skilled MLOps Engineer with 2-3 years of experience to join our team. As an MLOps Engineer, you will collaborate with data scientists, software engineers, and IT teams to ensure smooth deployment, scaling, and monitoring of machine learning models. Your responsibilities will include designing, developing, and maintaining automated pipelines for continuous integration and deployment (CI/CD) of machine learning models. You will manage model versioning, deployment, and monitoring in production environments and optimize the performance and scalability of machine learning models post-deployment. Collaboration with data science teams will be essential to improve model reproducibility, experiment tracking, and data workflows. You will implement monitoring, alerting, and logging solutions to ensure model performance and detect anomalies in production. Managing and scaling infrastructure required for model training and inference, whether on-premise or cloud, will be part of your daily tasks. Working closely with DevOps teams to integrate MLOps practices seamlessly into existing development workflows is also a key responsibility. Implementing security and compliance practices for AI/ML pipelines, including data governance, will be crucial. Troubleshooting issues in production environments and ensuring high availability of models will also be part of your role. Qualifications: - Education: Bachelor's degree in Computer Science, Engineering, or a related field. - Experience: 2-3 years of hands-on experience in MLOps, DevOps, or related fields. - Experience with machine learning lifecycle management tools such as MLflow, Kubeflow, or TFX. - Strong knowledge of cloud platforms such as AWS, Google Cloud, or Azure (experience in setting up AI/ML services is a plus). - Proficiency in scripting and automation (Python, Bash, etc.). - Experience with containerization (Docker) and orchestration tools (Kubernetes). - Familiarity with CI/CD tools like Jenkins, CircleCI, or GitLab CI for deploying machine learning models. - Knowledge of version control systems (e.g., Git) and infrastructure-as-code (e.g., Terraform, CloudFormation). - Understanding of monitoring and logging frameworks (e.g., Prometheus, Grafana, ELK stack). - Familiarity with data engineering tools (e.g., Apache Airflow, Kafka) is a plus.,

Genpact is a global professional services and solutions firm committed to delivering outcomes that help shape the future. With a team of over 125,000 individuals across 30+ countries, we are driven by curiosity, entrepreneurial agility, and a desire to create lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, empowers us to serve and transform leading enterprises, including the Fortune Global 500, utilizing our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist specializing in Azure Generative AI & Advanced Analytics. As a highly skilled and experienced professional, you will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. Your role will be crucial in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets for actionable insights and data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging various platforms including AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines to efficiently process and analyze large-scale datasets. - Implement Agentic AI techniques to develop intelligent, autonomous systems capable of making decisions and taking actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models and data-driven solutions, refining and optimizing them as necessary. - Stay updated with the latest industry trends, tools, and technologies in data science, AI, and generative models to enhance existing solutions and develop new ones. - Mentor and guide junior team members to aid in their professional growth and skill development. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Keep abreast of advancements in AI, ML, and data science and apply best practices to enhance business operations. Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is advantageous. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. Job Title: Principal Consultant Location: India-Noida Schedule: Full-time Education Level: Bachelor's / Graduation / Equivalent Job Posting: Apr 11, 2025, 9:36:00 AM Unposting Date: May 11, 2025, 1:29:00 PM Master Skills List: Digital Job Category: Full Time,