515 Mlops Jobs - Page 3

You are a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). You have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Your responsibilities include developing and implementing AI/ML models, working with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs, fine-tuning and optimizing Large Language Models (LLMs) for various applications, designing and training custom Machine Learning models using structured and unstructured data, leveraging NLP techniques such as text summarization and Named Entity Recognition (NER), implementing ML pipelines, and deploying models in cloud environments (AWS/GCP/Azure). You will collaborate with cross-functional teams to integrate AI-driven solutions into business applications and stay updated with the latest AI advancements to apply innovative techniques to improve model performance. To qualify for this role, you should have 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI, strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn, hands-on experience with NLP models including BERT, GPT, T5, LLaMA, and Stable Diffusion, expertise in data preprocessing, feature engineering, and model evaluation, experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes), knowledge of vector databases and retrieval-augmented generation (RAG) techniques, ability to fine-tune LLMs and work with prompt engineering, strong problem-solving skills, and the ability to work in agile environments. You should hold a Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, or Information Technology. Preferred skills include experience with Reinforcement Learning (RLHF) and multi-modal AI, familiarity with AutoML, Responsible AI (RAI), and AI Ethics, exposure to Graph Neural Networks (GNNs) and time-series forecasting, contributions to open-source AI projects or research papers. Your skills should encompass Machine Learning (ML), Generative AI, Artificial Intelligence (AI), Python, and Large Language Models (LLM).,

You will be working as a Lead Data Engineer & Architect at Phonologies, a company that specializes in managing telephony infrastructure for contact center applications and chatbots. Phonologies" platform is utilized by leading pharmacy chains, Fortune 500 companies, and North America's largest carrier to automate voice-based customer support queries, enhancing customer interactions and operational efficiencies. The company is headquartered in India and operates on a global scale. As the Lead Data Engineer & Architect, your role will involve designing and implementing data architecture, creating and maintaining data pipelines, performing data analysis, and collaborating with different teams to enhance data-driven decision-making processes. You will also be tasked with leading data engineering projects, ensuring data quality and security, and leveraging your expertise to drive successful outcomes. To be successful in this role, you should possess at least 10 years of experience in enterprise data engineering and architecture. You must be proficient in ETL processes, orchestration, and streaming pipelines, with a strong skill set in technologies such as Hadoop, Spark, Azure, Kafka, and Kubernetes. Additionally, you should have a track record of building MLOps and AutoML-ready production pipelines and delivering solutions for telecom, banking, and public sector industries. Your ability to lead cross-functional teams with a focus on client satisfaction will be crucial, as well as your certifications in data platforms and AI leadership. If you are passionate about data engineering, architecture, and driving innovation in a dynamic environment, this role at Phonologies may be the perfect opportunity for you. Join our team in Pune and contribute to our mission of revolutionizing customer support through cutting-edge technology solutions.,

The Gen AI Architect will play a key role in designing, implementing, and overseeing the development of advanced generative AI models, platforms, and systems. You will work closely with data scientists, engineers, and business stakeholders to design AI solutions that drive value and innovation. Lead the design and development of scalable, high-performance generative AI systems. Architect end-to-end AI solutions, from data collection and preprocessing to model development and deployment. Ensure seamless integration of AI systems into existing platforms, enhancing business functionality. Lead the design and development of generative AI models, including but not limited to transformers and Large Language Models (LLMs). Collaborate with research teams to keep the organization at the forefront of AI advancements. Stay up-to-date with the latest advancements in generative AI research and technology. Drive innovation in AI strategies, recommending tools, techniques, and approaches to improve performance and capabilities continually. Contribute to the development of AI strategies that align with organizational goals and objectives. Required Skills & Experience: - Proven experience in AI/ML model development, with a focus on generative models such as LLM, transformers. - Strong experience in MLOps. - Strong experience designing and deploying scalable AI architectures in the cloud environments (AWS/Azure/GCP). - Experience with AI frameworks and libraries such as Tensor Flow PyTorch. - Experience with data engineering and pre-processing for generative models. - Deep understanding of deep learning, reinforcement learning, unsupervised learning, and Natural Language Processing (NLP). - Proficiency in Python and other relevant programming languages. - Strong knowledge of machine learning pipelines, model versioning, and CI/CD for AI/ML.,

As an AI/ML Engineer at SolGuruz, you will play a crucial role in harnessing the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to transform software with advanced AI/ML capabilities. Your efforts will directly impact the user experience, pushing the boundaries and setting new benchmarks in AI-driven products. Your responsibilities will involve designing and implementing cutting-edge AI/ML models and solutions. You will delve deep into generative AI models and techniques, spanning Text-to-Speech, Speech to Text, Speech to Speech, Text to Image, and Image to Text. Evaluating AI models across diverse applications like content creation, design automation, Cloud Vision AI, and Natural Language AI will be part of your core tasks. Writing and maintaining high-quality Python code that is not only efficient and scalable but also well-documented will be essential. Collaboration with fellow engineers, researchers, and product managers to define requirements, brainstorm solutions, and refine designs will be a key aspect of your role. Additionally, contributing to the development of internal tools and infrastructure for AI/ML research and development will be expected. To excel in this role, you should stay updated on the latest advancements in AI/ML research and development. Having an understanding of AI Chatbots, document search, MLOps, supervised learning, unsupervised learning, Video analytics, Image analytics, NLP, exploratory data analysis, descriptive analytics, prescriptive analytics, and predictive analytics is crucial. What We Are Looking For: - Proficiency in Large Language Models such as Open AI, Stable Diffusion, and Generative AI models/services offered by AWS, Azure, and Google. - Hands-on experience with popular machine learning libraries like TensorFlow, PyTorch, etc. - Practical knowledge of AI/ML development using Python and advanced scripting in Python. - Expertise in databases, especially vector databases, along with strong experience in one of the cloud platforms. - Experience in implementing MLOps practices for machine learning models using Azure ML/AWS Sagemaker. Why SolGuruz - Embrace a culture that fosters innovation and forward-thinking. - Opportunities for professional growth and career advancement. - No bond, no contract. - Work 5 days a week with flexible timings to support work-life balance. - No bossism culture - thrive through collaboration. - Benefit from a high-config laptop to boost productivity. - Engage in various activities to enhance team spirit. Skills: text-to-speech, image to text, TensorFlow, AI/ML, PyTorch, vector databases, Large Language Models, Python, Azure, AWS, speech to text, cloud platforms, MLOps, NLP, text to image, speech to speech, generative AI.,

You are urgently hiring for a Software Engineer [Python] role with a focus on Core Platform Engineering for one of your direct clients in Pune on a Full-Time Contract basis. The ideal candidate should have 5-8 years of experience, with a preference for domain knowledge in Investment Banking. As a Software Engineer, your primary responsibility will be collaborating with Data Scientists and AI Engineers to develop and integrate enterprise-wide, scalable backend services and tools for agents. You will also work on intuitive user interfaces that support the deployment and usability of AI-driven applications. Your technical and domain skills should include proficiency in Python, RESTful APIs & Integration, Cloud Platform (Azure), SQL, CI/CD. Additionally, knowledge in Financial Services Document Management and Processing would be beneficial. Furthermore, familiarity with Cloud Azure, Enterprise Integration, microservices, server-side frameworks (such as Kafka, REST APIs, Flask), and programming languages like Python is essential for this role. Experience with DevOps practices, particularly in CI/CD, will also be valuable to succeed in this position.,

As an AI Engineer at Xurrent, you will play a crucial role in the development of platforms and solutions that drive the transformation of Service and Operations Management through AI technologies. Your primary responsibilities will involve collaborating with the R&D team to deliver AI software encompassing data engineering, prompt engineering, algorithms, and APIs. Your performance will be gauged based on your ability to generate production-ready code, prototype swiftly for stakeholders, and maintain high code quality as a senior member of the team. You will also be responsible for conducting code reviews and working closely with DevOps and MLOps to ensure a robust deployment and testing pipeline. Responsibilities: - Collaborate with R&D team members to identify functional and non-functional requirements for AI-related software adjustments or extensions and incorporate them into AI RFCs. - Assist product management in developing high-level product specifications related to artificial intelligence, focusing on system integration and feasibility. - Develop software adjustments and extensions that align with specifications, requirements, and coding standards. - Provide technical guidance and coaching on artificial intelligence to fellow R&D members. - Ensure that AI software used in Xurrent services meets quality, security, and extensibility standards. - Actively contribute to the continuous improvement of AI software in Xurrent services through active development participation. Requirements: - Demonstrated proficiency in developing AI features using LLM. - Proven track record in developing, deploying, maintaining, and enhancing machine learning models. - Experience in creating and managing data systems like feature stores and data pipelines for AI and machine learning. - Ability to translate product requirements into technical specifications. - Background in a production engineering environment. This role at Xurrent offers an exciting opportunity to be at the forefront of AI innovation in Service and Operations Management. If you are passionate about leveraging AI technologies to drive impactful changes, this position is tailored for you.,

As a Lead AI/ML Researcher, your primary responsibility will be to spearhead the research, design, and development of cutting-edge AI and ML models that power an innovative AI-driven no-code development platform and a scalable AI inference and training orchestration system. Your role involves building scalable ML pipelines, optimizing models for production, mentoring team members, and translating research innovations into impactful product features that align with business objectives. You will be tasked with designing and implementing state-of-the-art machine learning and deep learning models for Natural Language Processing (NLP), computer vision, and generative AI that are relevant to the field of no-code AI coding and AI orchestration platforms. Additionally, you will develop, optimize, and fine-tune large-scale models, including transformer-based architectures and generative models. It will be crucial for you to architect and oversee end-to-end machine learning pipelines encompassing data processing, training, evaluation, deployment, and continuous monitoring. Collaboration with software engineering teams will be essential to ensure the successful productionization of models, focusing on factors such as reliability, scalability, and performance. Your role will also involve researching and integrating cutting-edge AI techniques and algorithms to uphold product competitiveness. Leading AI research efforts to contribute to intellectual property generation, patents, and academic publications will be a key aspect of your responsibilities. Moreover, you are expected to provide technical leadership and mentorship to junior AI/ML team members and collaborate cross-functionally with product managers, UX designers, and engineers to deliver AI-powered product features. Keeping abreast of AI research trends and technologies and evaluating their applicability, as well as ensuring compliance with data privacy and security standards in AI model development, will be integral to your role. Additionally, possessing experience with AI-driven no-code platforms, familiarity with AI workflow orchestration frameworks, knowledge of probabilistic modeling and uncertainty quantification, hands-on experience with MLOps tools and practices, familiarity with cloud platforms and container orchestration, contributions to open-source AI projects or patent filings, understanding of AI ethics and data privacy compliance, and a strong academic research background with publications in top-tier AI/ML conferences are considered advantageous skills. Qualifications for this role include a PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields with a specialization in Artificial Intelligence, Machine Learning, or Deep Learning. A strong research publication record in reputable AI/ML conferences, demonstrated experience in developing and deploying deep learning models, proficiency in NLP and/or computer vision, hands-on experience with Python and ML frameworks, experience in building scalable ML pipelines, and knowledge of distributed training, GPU acceleration, and cloud infrastructure are highly desirable. Excellent problem-solving, analytical, and communication skills, along with prior experience in mentoring or leading junior AI researchers/engineers, will be beneficial for this position.,

As an AI Architect at our organization, you will play a crucial role in defining and implementing the end-to-end architecture for deploying our machine learning models, including advanced Generative AI and LLM solutions, into production. Your responsibilities will include leading and mentoring a cross-functional team of Data Scientists, Backend Developers, and DevOps Engineers to foster a culture of innovation, technical excellence, and operational efficiency. In terms of Architectural Leadership, you will design, develop, and own the scalable, secure, and reliable architecture for deploying and serving ML models with a focus on real-time inference and high availability. You will also lead the strategy and implementation of the in-house API wrapper infrastructure and define architectural patterns, best practices, and governance for MLOps. Evaluating and selecting the optimal technology stack for our ML serving infrastructure will also be a key part of your role. Regarding Team Leadership & Mentorship, you will lead, mentor, and inspire the diverse team, guiding them through complex architectural decisions and technical challenges. Your goal will be to foster a collaborative environment that encourages knowledge sharing, continuous learning, and innovation across teams while driving technical excellence and adherence to engineering best practices. Your expertise in Generative AI & LLM will be essential as you architect and implement solutions for deploying Large Language Models, drive the adoption of techniques like Retrieval Augmented Generation, and stay updated on the latest advancements in AI to evaluate their applicability to our business needs. Collaborating closely with Data Scientists, Backend Developers, and DevOps Engineers will be crucial to integrate models seamlessly into the serving infrastructure, build robust APIs, and ensure operational excellence of the AI infrastructure. Effective communication of complex technical concepts to both technical and non-technical stakeholders will also be a part of your responsibilities. In terms of qualifications, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field, along with 10+ years of software engineering experience and proven experience in leading cross-functional engineering teams. Your technical skills should include expertise in MLOps principles, Python proficiency, containerization technologies, cloud platforms, Large Language Models, and monitoring tools. Leadership qualities such as exceptional mentorship and team-building abilities, strong analytical and problem-solving skills, excellent communication skills, and a strategic mindset will be highly valued in this role. Bonus points will be awarded for experience with specific ML serving frameworks, contributions to open-source projects, and familiarity with data governance and compliance in an AI context.,

As a Jr. Software Engineer (AI ML) at SynapseIndia, you will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions. With a focus on AI/ML, you will play a crucial role in designing, developing, and deploying machine learning models and AI algorithms using Python and relevant libraries. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field. Additionally, having 0-2 years of professional experience in Python programming with a specialization in AI/ML is essential. Your strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, along with a solid understanding of machine learning algorithms, neural networks, and deep learning will be highly valuable. Furthermore, your proficiency in data manipulation libraries such as Pandas, NumPy, and data visualization tools like Matplotlib, Seaborn, as well as experience with cloud platforms like AWS, GCP, Azure, and deploying ML models using Docker, Kubernetes will be beneficial. Any familiarity with NLP, Computer Vision, or other AI domains will be considered a plus. Your responsibilities will include collaborating with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. You will be optimizing and scaling machine learning pipelines and systems for production, performing data preprocessing, feature engineering, and exploratory data analysis, and implementing and fine-tuning deep learning models using frameworks like TensorFlow, PyTorch, or similar. Additionally, you will be expected to conduct experiments, evaluate model performance using statistical methods, write clean, maintainable, and well-documented code, mentor junior developers, participate in code reviews, and stay up-to-date with the latest AI/ML research and technologies. Ensuring seamless model deployment and integration with existing infrastructure will also be part of your role. If you are a proactive individual with strong problem-solving skills, the ability to work independently and collaboratively, excellent communication skills, and familiarity with REST APIs, microservices architecture, version control systems like Git, MLOps best practices and tools, distributed computing, and big data tools like Spark or Hadoop, we encourage you to apply for this exciting opportunity at SynapseIndia. Join us and be a part of our dynamic team where your contributions are recognized and rewarded, and where you can grow both personally and professionally in a structured, eco-friendly workplace that prioritizes the well-being and job security of its employees.,

OneOrigin is an innovative company based in Scottsdale, AZ and Bangalore, India, dedicated to utilizing the power of AI to revolutionize the operations of Higher Education institutions. Their cutting-edge software solutions aim to streamline administrative processes, enhance student engagement, and facilitate data-driven decision-making for colleges and universities. As an AI Developer at OneOrigin in Bangalore, you will be responsible for creating and implementing advanced AI-driven solutions to empower intelligent products and optimize business operations across various domains. Working closely with data scientists, software engineers, product teams, and stakeholders from different departments, you will design scalable AI systems using cutting-edge machine learning techniques to address complex challenges. Your responsibilities will include designing, developing, and deploying sophisticated AI/ML models for real-world applications, leveraging AI frameworks like TensorFlow, PyTorch, Keras, and Hugging Face Transformers. You will also explore Generative AI applications, manipulate large datasets using tools such as Pandas, NumPy, SQL, and Apache Spark, and deploy scalable AI services using Docker, FastAPI/Flask, and Kubernetes. Collaboration with cross-functional teams to integrate AI solutions into products, drive experimentation, implement automation opportunities, and stay updated on AI advancements will be key aspects of your role. You are required to have a Bachelor's degree in Computer Science, Engineering, or a related field, along with 5-8 years of hands-on experience in AI/ML development. Proficiency in Python, experience with Deep Learning, NLP, Computer Vision projects, and Cloud platforms (AWS, GCP, Azure) is essential. Your strong problem-solving skills, communication abilities, and expertise in API development will be crucial for successfully tackling complex challenges and collaborating effectively across diverse teams and departments. Join OneOrigin in their mission to make AI accessible and impactful for higher education institutions!,

As a Senior AI Engineer with over 5 years of experience, you will be responsible for leading the design, development, and deployment of advanced AI systems. Your expertise in LLMs, ML pipelines, model optimization, and real-time deployment will be crucial in successfully scaling AI systems in production. Additionally, you will play a key role in fine-tuning large language models, optimizing training pipelines, and owning the end-to-end lifecycle of AI projects from data to deployment. In this role, you will evaluate third-party models and tools to recommend best-fit solutions, collaborate with cross-functional teams to align AI efforts with product goals, and lead junior developers while contributing to architectural decisions. Your strong understanding of NLP, deep learning, and large-scale model architectures, coupled with your proficiency in Python, PyTorch/TensorFlow, and data engineering tools, will be essential in designing and optimizing ML pipelines for performance and scalability. Preferred skills for this role include experience managing AI teams or mentoring juniors, working knowledge of Retrieval-Augmented Generation (RAG) and embeddings, as well as familiarity with CI/CD, Docker, and cloud deployment pipelines. If you are looking for an opportunity to work in Mumbai, Maharashtra, and can join immediately, we invite you to apply for this challenging and rewarding position as a Senior AI Engineer.,

As an AI Developer specializing in Large Language Models (LLMs) at RMgX, a Gurgaon based digital product innovation & consulting firm, your role involves designing, developing, and deploying AI solutions using LLMs such as GPT, LLaMA, Claude, or Mistral. You will fine-tune and customize pre-trained LLMs for business-specific use cases, build and maintain NLP pipelines for classification, summarization, semantic search, etc., and create and manage vector database pipelines using tools like Milvus and Pinecone. Collaboration with cross-functional teams to integrate LLM-based features into applications and analyzing model performance to enhance outcomes will be key responsibilities. To excel in this role, you should have at least 12 years of experience in AI/ML development with a specific focus on NLP and LLM-based solutions. Proficiency in Python and AI/ML libraries such as HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc., is essential. Additionally, practical experience in working with closed-source models via APIs (e.g., OpenAI, Gemini), understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus, or Pinecone, and deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) are required. Familiarity with MLOps and version control tools (Git, MLflow, etc.), as well as knowledge of LLMOps platforms like LangSmith, Weights & Biases, will be advantageous. A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field is preferred. Strong problem-solving skills, attention to detail, and the ability to work in an agile environment are crucial for success in this role. In return for your expertise and dedication, RMgX offers various perks and benefits, including flexible working hours, weekends off, health insurance, personal accident insurance, BYOD (Bring Your Own Device) benefit, and a laptop buyback scheme. Join us at RMgX to contribute to the creation of elegant, data-driven digital solutions for complex business problems and make a meaningful impact through your AI development skills.,

As a Lead Machine Learning Engineer at UPS, you will be part of the UPS Data Science and Machine Learning team focusing on Cross Border logistics. Your role involves managing AI, ML, and GenAI applications, with a specific emphasis on continuous integration and deployment of optimal ML models and analytical systems. You will play a crucial role in the end-to-end lifecycle of AI models, from experimentation to deployment in production, requiring a strong background in prompt engineering and experience with Google Cloud's Vertex AI platform. Your key responsibilities will include leading the development and deployment of generative AI solutions, architecting scalable infrastructure for large-scale AI models, fine-tuning pre-trained models, implementing prompt engineering strategies, and managing the lifecycle of deployed models. Collaboration with cross-functional teams, providing technical leadership, and ensuring responsible and ethical AI development are also essential aspects of this role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, along with 5-8 years of hands-on experience in building and managing machine learning models. Proficiency in prompt engineering techniques, Python programming, TensorFlow, PyTorch, and experience with Google Cloud's Vertex AI platform are necessary. Additionally, familiarity with cloud computing platforms, MLOps practices, and version control systems is highly desirable. Having experience with model governance frameworks, ethical AI practices, generative AI use cases in the Logistics industry, and contributions to open-source projects will be considered advantageous. Keeping abreast of emerging trends in generative AI, reinforcement learning, and federated learning approaches is also beneficial for this role. This is a permanent position at UPS, and the company is dedicated to fostering a workplace free of discrimination, harassment, and retaliation. If you are a self-driven individual with a passion for AI and machine learning, and are eager to contribute to cutting-edge projects in a collaborative environment, this role offers an exciting opportunity to grow and innovate within a Fortune Global 500 organization.,

As a skilled professional, your primary responsibility will involve designing and implementing cutting-edge deep learning models using frameworks like PyTorch and TensorFlow to tackle specific business challenges. You will be tasked with creating conversational AI agents and chatbots that provide seamless, human-like interactions, tailored to meet client needs. Additionally, you will develop and optimize Retrieval-Augmented Generation (RAG) models to enhance AI's ability to retrieve and synthesize pertinent information for accurate responses. Your expertise will be leveraged in managing data lakes, data warehouses (including Snowflake), and utilizing Databricks for large-scale data storage and processing. You are expected to have a thorough understanding of Machine Learning Operations (MLOps) practices and manage the complete lifecycle of machine learning projects, from data preprocessing to model deployment. You will play a crucial role in conducting advanced data analysis to extract actionable insights and support data-driven strategies across the organization. Collaborating with stakeholders from various departments, you will align AI initiatives with business requirements to develop scalable solutions. Additionally, you will mentor junior data scientists and engineers, encouraging innovation, skill enhancement, and continuous learning within the team. Staying updated on the latest advancements in AI and deep learning, you will experiment with new techniques to enhance model performance and drive business value. Effectively communicating findings to both technical and non-technical audiences through reports, dashboards, and visualizations will be part of your responsibilities. Furthermore, you will utilize cloud platforms like AWS Bedrock to deploy and manage AI models at scale, ensuring optimal performance and reliability. Your technical skills should include hands-on experience with PyTorch, TensorFlow, and scikit-learn for deep learning and machine learning tasks. Proficiency in Python or R programming, along with knowledge of big data technologies like Hadoop and Spark, is essential. Familiarity with MLOps, data handling tools such as pandas and dask, and cloud computing platforms like AWS is required. Skills in LLAMAIndex and LangChain frameworks, as well as data visualization tools like Tableau and Power BI, are desirable. To qualify for this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Specialization in deep learning, significant experience with PyTorch and TensorFlow, and familiarity with reinforcement learning, NLP, and generative models are expected. In addition to challenging work, you will enjoy a friendly work environment, work-life balance, company-sponsored medical insurance, a 5-day work week with flexible timings, frequent team outings, and yearly leave encashment. This exciting opportunity is based in Ahmedabad.,

As a visionary Senior Director, Artificial Intelligence (AI) at Quorum Software, you will play a pivotal role in establishing and leading the AI Innovation Center. Your primary focus will be on designing, developing, and deploying cutting-edge AI solutions across our software portfolio, contributing to the acceleration of our AI strategy. Your responsibilities will include shaping the company's AI vision, leading a cross-functional team of data scientists, ML engineers, and AI product innovators, and collaborating with product, engineering, and customer teams to introduce AI-infused applications to the market. Key Responsibilities: - Establish and Lead the AI Innovation Center to drive R&D in AI and ML technologies for energy-specific software use cases. - Define and execute the company's AI strategy, encompassing tooling, platforms, and applied AI models. - Oversee the development and deployment of ML models, agentic systems, and generative AI applications to enhance customer experience and business outcomes. - Partner closely with various teams to embed AI into product roadmaps and deliver measurable business value. - Guide and cultivate a high-performing AI & Data Science team, fostering a culture of innovation, experimentation, and impact. - Ensure the responsible and ethical use of AI, adhering to industry standards and regulatory requirements, particularly within the energy industry. - Evaluate and select AI/ML tools, frameworks, and platforms while staying abreast of rapid advances in the field. - Represent the company in industry forums, conferences, and AI research communities to drive innovation and thought leadership. Requirements: - Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field. A Master's degree is preferred. - 10+ years of experience in AI/ML, with a minimum of 5 years in a leadership role. - Proven track record of applying AI, machine learning, and generative/agentic AI in commercial software products. - Strong understanding of AI tooling, infrastructure, and cloud-native AI/ML pipelines. - Previous experience in the energy sector or with software tailored for industrial domains. - Demonstrated ability to build and lead multidisciplinary teams and deliver AI-based solutions with tangible business impact. - Excellent communication and stakeholder management skills, including experience presenting to executive leadership. Nice to Have: - Experience with AI agents, autonomous systems, or decision intelligence. - Familiarity with energy industry data types, standards, and use cases such as grid management, asset performance, and forecasting. - Knowledge of MLOps, data governance, and responsible AI practices. Note: Employment eligibility to work with Quorum Software in India is required, as the company will not pursue visa sponsorship for this position. If you require reasonable accommodation during the application and/or interview process, please notify a member of the Human Resources Department.,

You will be working for one of our direct clients in Pune as a Data Scientist-ML Engineer on a Fixed Term Contract basis. With 5-10 years of experience, preferred domain knowledge in Investment Banking or Trade Lifecycle, Settlements, Inventory Management will be an advantage. Your role will involve extracting actionable insights from complex data through statistical analysis, machine learning, and data modeling to facilitate strategic decision-making. Proficiency in Python, Machine Learning Algorithms, Model Training/Deployment, Computer Vision, LLM, Statistical Analysis, Data Visualization, SQL, Cloud Platform (Azure), and MLOps will be essential for this position. If you are passionate about leveraging data to drive business decisions and have the required skill set, we would like to hear from you.,

Job Title: Senior MLOps Engineer Azure ML & Azure Databricks Location: Bangalore, India Experience: 5.5+ Years (3+ years in MLOps) Company: MNC Domain: Artificial Intelligence / Machine Learning / Data Engineering About the Role: We are looking for a Senior MLOps Engineer with deep expertise in Azure ML , Azure Databricks , and modern MLOps practices to join our fast-growing AI/ML team. This role will focus on building and scaling MLOps frameworks for enterprise-grade AI solutions, ensuring seamless model deployment, governance, and operational excellence across the ML lifecycle. Key Responsibilities: Build and maintain a robust MLOps framework covering the entire ML lifecycle: development, training, evaluation, deployment, monitoring, and model governance. Work with Azure Databricks , Azure ML , and Unity Catalog to manage models, workflows, and data access. Implement CI/CD pipelines for ML using Azure DevOps , Docker , Python , and Git . Establish best practices, standards, and automation for repeatable MLOps workflows. Collaborate with data scientists, platform architects , and other stakeholders across cross-functional teams. Mandatory Skills: 5.5+ years overall in AI/ML, with 3+ years in MLOps Expertise in: Azure Databricks Azure ML Unity Catalog Proficiency in: CI/CD for MLOps using Azure DevOps Python, Git, Docker Strong background in building enterprise-grade MLOps frameworks Nice to Have: Experience with Azure Data Factory (ADF) Understanding of data privacy , AI compliance , and responsible AI principles Soft Skills: Excellent communication and stakeholder management Ability to work effectively in cross-functional teams

Primary Skills: Machine Learning, Optimization, Cloud Services (Azure/Oracle), MLOps. Secondary Skills: End-to-end data science projects, databases and pipelines, manufacturing domain Soft skills: Stakeholder management, leadership, proactive Note: Preference will be given to those with manufacturing domain experienced.

As a Software Developer, you will be responsible for designing, developing, modifying, debugging, and maintaining software systems. Your role will involve working on specific modules, applications, or technologies, handling sophisticated assignments throughout the software development process. Your responsibilities will include owning specific modules within applications, providing technical support and guidance during solution design, presenting software product demos to partners and customers, investigating issues by reviewing/debugging code and providing solutions, and bringing continuous improvements to software or business processes through automation and innovative techniques. Key responsibilities will involve working with LLMs such as Lama, Gpt, and others, handling GenAI use cases, developing cloud jobs for data ingestion, creating partnerships with project stakeholders, and implementing Gen AI use-cases in live production. Mandatory technical skills required for this role include experience in deep learning engineering, strong NLP/LLM experience, proficiency in Python & Terraform programming, building backend applications using Python and deep learning frameworks, deploying models and building APIs, experience with GPUs, and working knowledge of vector databases and transformers. Good to have technical skills include knowledge and experience in Kubernetes, Docker, cloud experience with VMs and Azure storage, and sound data engineering experience. In terms of behavioral skills, you should demonstrate good communication with clients and operational managers, strong problem-solving abilities, the capacity to build relationships, adaptability, prioritization skills, the ability to anticipate problems and solutions, an innovative approach, and willingness to work in shifts/extended hours.,

You are a Java Developer with AI/ML experience, required to have at least 5+ years of industry experience in Java, Spring Boot, Spring Data, and a minimum of 2 years of AI/ML project or professional experience. You should possess a strong background in developing and consuming REST APIs and asynchronous messaging using technologies like Kafka or RabbitMQ. Your role involves integrating AI/ML models into Java services or making calls to external ML endpoints. You need to have a comprehensive understanding of the ML lifecycle encompassing training, validation, inference, monitoring, and retraining. Familiarity with tools such as TensorFlow, PyTorch, Scikit-Learn, or ONNX is essential. Previous experience in implementing domain-specific ML solutions like fraud detection, recommendation systems, or NLP chatbots is beneficial. Proficiency in working with various data formats including JSON, Parquet, Avro, and CSV is required. You should have a solid grasp of both SQL (PostgreSQL, MySQL) and NoSQL (Redis) database systems. Your responsibilities will include integrating machine learning models (both batch and real-time) into backend systems and APIs, optimizing and automating AI/ML workflows using MLOps best practices, and monitoring model performance, versioning, and rollbacks. Collaboration with cross-functional teams such as DevOps, SRE, and Product Engineering is necessary to ensure smooth deployment. Exposure to MLOps tools like MLflow, Kubeflow, or Seldon is desired. Experience with at least one cloud platform, preferably AWS, and knowledge of observability tools, metrics, events, logs, and traces (e.g., Prometheus, Grafana, Open Telemetry, Splunk, Data Dog, App Dynamics) are valuable skills in this role. Thank you. Aatmesh,

The tech space is crowded, but most solutions feel like they're cut from the same cloth missing the mark on what businesses truly need. At Dawn Technologies is a niche company laser-focused on delivering specialized tech solutions in Gen AI, Data Engineering, and Backend Systems. What sets us apart is our commitment to the technologists the creators, problem-solvers, and innovators who bring true value to transformation. We are seeking an experienced Lead Solutions Architect with deep expertise in AI/ML infrastructure, High Performance Computing (HPC), and container platforms to join our dynamic team. You will play a key role in architecting, deploying, and optimizing private cloud environments that leverage co-developed solutions with NVIDIA and validated reference architectures to support enterprise-grade AI workloads at scale. As the Lead Solutions Architect, you will provide delivery assurance, serve as the lead design authority, and align solution architecture with NVIDIA Enterprise AI Factory design principles. Your responsibilities will include overseeing planning, risk management, and stakeholder alignment throughout the project lifecycle to ensure successful outcomes. You will architect and optimize end-to-end solutions across container orchestration and HPC workload management domains, ensuring seamless integration of container and AI platforms with the broader software ecosystem. Additionally, you will lead technical responses to RFPs and customer inquiries, conduct proof-of-concept engagements, and assess customer infrastructure to recommend optimal configurations using validated reference architectures. To be successful in this role, you must have extensive knowledge of HPC technologies, containerization technologies, GPU technologies, Linux system administration, virtualization technologies, hybrid cloud architectures, DevOps practices, networking principles, programming languages, and automation. You should also possess strong problem-solving, analytical thinking, and communication skills, along with the ability to lead complex technical projects and align technical solutions with client challenges and objectives. A bachelor's or master's degree in computer science, Information Technology, or a related field, along with professional certifications in AI Infrastructure, Containers, and Kubernetes are highly desirable. You should have 8-10 years of hands-on experience in architecting and implementing HPC, AI/ML, and container platform solutions within hybrid or private cloud environments. Join us at AT Dawn Technologies and be part of a workplace culture centered on innovation, ownership, and excellence. We are an equal-opportunity employer that celebrates diversity and inclusion. Come redefine the future with us!,

As an MLOps & AI Infrastructure Engineer at Credartha, located in Vapi, Gujarat, you will be part of a team dedicated to revolutionizing the AI industry by addressing the critical issue of data quality. Calaxis by Credartha is focused on automating the creation of high-quality datasets for AI applications, making the development of specialized AI more accessible and cost-effective across various industries. Your responsibilities will include architecting the AI Flywheel by designing and implementing the end-to-end MLOps infrastructure, building a Multi-Tenant PaaS on AWS, automating CI/CD/CT processes for AI models and backend services, optimizing LLM serving infrastructure, managing GPU resources efficiently, ensuring production-grade reliability through monitoring and alerting, and championing Infrastructure as Code using tools like Terraform or AWS CloudFormation. To excel in this role, you should have at least 5 years of experience in DevOps, SRE, or MLOps roles, with a strong background in cloud services, particularly AWS, containerization, CI/CD pipeline design, Python scripting, networking, security, and infrastructure best practices. Bonus points if you have experience with MLOps pipelines for Large Language Models, LLM-specific serving frameworks, ML platforms like Kubeflow and MLflow, and advanced fine-tuning techniques such as RLHF and DPO. Joining Credartha offers you the opportunity to build the infrastructure foundation for a deep-tech company, work on mission-critical challenges at the forefront of AI technology, have significant impact and ownership over your projects, be part of a culture that values technical excellence and innovation, and receive competitive compensation with equity and benefits. If you are a skilled infrastructure engineer passionate about shaping the future of AI and eager to tackle complex challenges in a dynamic environment, we invite you to apply by submitting your resume and a cover letter highlighting your experience in building scalable, production-grade infrastructure and your enthusiasm for the mission at Calaxis.,

As an Agentic Thinker and visionary Generative AI Subject Matter Expert (SME) at UBS in Hyderabad, you will lead the design, development, and deployment of cutting-edge generative AI solutions to solve complex business challenges. UBS emphasizes innovation and agility to enhance responsiveness, adaptability, and overall innovation in the workplace. In this role, you will leverage large language models (LLMs), diffusion models, and other generative architectures to drive innovation and act as a technical authority for generative AI. Your responsibilities will include architecting, training, and fine-tuning generative AI models for various applications such as content generation, conversational AI, code automation, and data synthesis. Additionally, you will lead research and development initiatives to enhance model performance, efficiency, and alignment with business objectives. You will collaborate with product, engineering, and business teams to integrate generative AI into workflows and translate business requirements into technical specifications for generative AI use cases. Moreover, you will optimize generative models for latency, cost, and scalability, deploy models on cloud platforms and edge devices, and implement safeguards to mitigate risks such as bias and misinformation while ensuring compliance with data privacy regulations and ethical AI guidelines. As part of the Mainframe & Midrange Stream team in India, you will work on Mainframe and Midrange Gen AI Journey, aligning with UBS AI elements and the Emerging Technology and Modernization Team. Your expertise should include a master's or PhD in Computer Science, Machine Learning, or a related field, along with at least 5 years of experience in AI/ML development with a focus on generative AI. You should have a proven track record of deploying generative AI solutions in production environments, deep expertise in generative architectures such as GPT and Transformers, proficiency in Python, PyTorch/TensorFlow, and cloud platforms, as well as experience with NLP tools and vector databases. Preferred skills include knowledge of multimodal AI, reinforcement learning, and familiarity with AI ethics frameworks. UBS, as the world's largest and truly global wealth manager, operates through four business divisions and has a presence in over 50 countries. If you are passionate about driving innovation, solving complex business challenges with generative AI, and being part of a diverse and inclusive culture that values collaboration and empowerment, UBS is the place for you. Join us to grow, learn, and make a difference in a supportive and inclusive environment.,

We are seeking a skilled and driven AI Developer to create, implement, and launch advanced machine learning models and artificial intelligence solutions. The ideal candidate will possess strong programming abilities, a profound comprehension of machine learning algorithms, and proficiency in model deployment and refinement. Your primary responsibilities will include crafting and executing ML models and AI solutions utilizing suitable algorithms, examining extensive datasets to extract valuable patterns for business decisions, and refining machine learning models to ensure optimal performance. You will also be involved in constructing pipelines for data preprocessing, model training, testing, and deployment, as well as integrating ML models into production through REST APIs, Docker, or cloud services (e.g., AWS SageMaker, GCP AI Platform, Azure ML). Monitoring and enhancing model accuracy, scalability, and dependability post-deployment will also be part of your duties. Collaboration with cross-functional teams comprising product, engineering, and data science professionals to incorporate ML solutions into existing systems is crucial. You will be expected to research and implement new AI methodologies while staying abreast of the latest trends in the field. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and libraries like TensorFlow, PyTorch, and Scikit-learn is essential. A solid grasp of supervised, unsupervised, and reinforcement learning techniques is required, along with experience in NLP, computer vision, or time-series forecasting projects. Familiarity with data processing tools such as Pandas, NumPy, and SQL is expected, as well as knowledge of statistics, linear algebra, and probability theory. Experience in deploying models using Flask/FastAPI, Docker, and CI/CD pipelines is preferred. Familiarity with cloud platforms like AWS, GCP, or Azure, as well as proficiency in version control systems (Git) and collaborative tools like JIRA and Confluence, are advantageous. Hands-on experience with MLOps practices, model monitoring tools, Hugging Face Transformers, OpenCV, YOLO, and similar tools will be beneficial. Participation in Kaggle competitions, published papers, or GitHub AI/ML projects is considered a strong advantage. This is a full-time position located in Nagpur with a salary as per market standards. The ideal candidate should have 2-4 years of experience and be below 35 years old. Educational requirements include a Bachelors or Masters degree or equivalent in a relevant field. Proficiency in English and Hindi is required. Please note that there are no specific perks and benefits mentioned for this position.,

You will be working full-time at Soothsayer Analytics in Hyderabad as a Generative AI/LLM Engineer. Your primary responsibility will be to design, develop, and deploy generative AI models using cutting-edge technologies like Azure OpenAI GPT-4, GPT-4 Vision, or GPT-4 Omni. You should have a strong background in building and deploying AI models, with a focus on leveraging technologies such as Retrieval-Augmented Generation (RAG) and working with Vector Databases. While experience in fine-tuning large language models (LLMs) is beneficial, it is not mandatory. You are expected to have a general understanding of training or fine-tuning deep learning models and be able to quickly learn and implement advanced techniques. Your key responsibilities will include designing, developing, and deploying generative AI models using GPT-4 variants, implementing and optimizing RAG techniques, building and managing AI services using Python frameworks like LangChain or LlamaIndex, and developing APIs with FastAPI or Quart for efficient integration. You will focus on scalability, performance, and optimization of AI solutions across cloud environments, particularly with Azure and AWS. Working with Vector Databases is mandatory, and experience with Graph Databases is optional. You will also utilize Cosmos DB and SQL for data storage and management solutions, apply MLOps or LLMOps practices, and manage Azure Pipelines for continuous integration and deployment. Additionally, you will continuously research and adopt the latest advancements in AI technologies. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field, with at least 1+ years of experience in Generative AI/LLM technologies and 5+ years of experience in related fields. Proficiency in Python and experience with frameworks like LangChain, LlamaIndex, FastAPI, or Quart is required. Expertise in RAG and experience with Vector Databases are mandatory. Knowledge of Cosmos DB and SQL is also essential. Experience with fine-tuning LLMs and Graph Databases is beneficial but not mandatory. You should have proven experience in MLOps, LLMOps, or DevOps, a strong understanding of CI/CD processes, automation, and pipeline management, and familiarity with containers, Docker, or Kubernetes. Experience with cloud platforms, particularly Azure or AWS, and cloud-native AI services is desirable. Strong problem-solving abilities and a proactive approach to learning new AI trends and best practices quickly are necessary for this role.,