78 Azure Ml Jobs

Design, develop, deploy ML models for real-world applications Implement, optimize ML pipelines using PySpark & MLflow Structured/ unstructured data using Pandas, NumPy Train models using scikit-learn, TensorFlow, PyTorch. Integrate LLMs Required Candidate profile Strong in Python, ML algorithms, model development, evaluation techniques Exp in PySpark model lifecycle management, MLflow Pandas, NumPy, and Scikit-learn, LLMs (OpenAI, Hugging Face Transformers)

Role & responsibilities ML Engineer Role Summary Implements and operationalizes machine learning models, managing the end-to-end ML lifecycle including training, deployment, and monitoring. Detailed Responsibilities Package and deploy ML models using Azure ML pipelines. Automate retraining and versioning workflows. Build and maintain model scoring APIs and batch inference jobs. Monitor performance and drift in deployed models. Implement CI/CD for ML (MLOps). Optimize resource utilization and performance of ML workloads. Key Skills and Technologies Azure ML, MLflow Python (ML frameworks) AKS (Azure Kubernetes Service) for model hosting CI/CD for ML workflows Model monitoring and alerting Experience and Qualifications 5+ years in ML engineering or MLOps. Experience deploying models to production on Azure. Key Deliverables and Outcomes Automated training and deployment pipelines. Production inference APIs with monitoring dashboards. Model rollback and versioning strategies. KPIs / Measures of Success Deployment success rate. Model latency and performance. Drift detection and remediation timelines. Reporting and Collaboration Reports to AI Architect. Works with Data Scientists, Backend Developers, and DevOps teams. Preferred candidate profile

We have multiple roles : Lead AI Developer Senior AI developer Senior software engineer Tech lead - ML Architect Requirement : Skilled and innovative AI Developer to design, develop, and deploy AI and machine learning solutions that solve real-world business problems. The ideal candidate will work. Technical skills : Programming Languages: Python (primary), R, SQL ML Frameworks: TensorFlow, PyTorch, Scikit-learn Data Handling: Pandas, NumPy, Spark Model Deployment: Docker, FastAPI, Flask, Azure ML, MLflow Cloud Platforms: Azure (preferred), AWS, GCP Version Control & CI/CD: Git, GitHub, Azure DevOps Optional: Experience with NLP, computer vision, or generative AI models Required Qualifications Bachelors or Masters degree in Computer Science, Data Science, or a related field. 4+ years of experience in AI/ML development. Strong understanding of machine learning concepts and model lifecycle. Experience deploying models in production environments. Excellent problem-solving and communication skills.

Mode: FTE Relevant experience should not be less than 8 yrs. Job Location Noida sector 16, WTT Tower. Hybrid Preferred is diversity candidates, immediate joiners Job role: AI Platform Lead Requirements: Proven track record with more than 5 years of experience in AI/ML platform management or similar roles Strong knowledge of machine learning, data analytics, and cloud computing Extensive hands-on experience with technologies such as Dataiku, Azure ML, Azure AI Foundry, and related systems Well-versed in agile methodologies, DevOps practices, and CI/CD pipeline management Ability to manage multiple priorities in a fast-paced, dynamic environment Skilled in leading cross-functional teams and executing large-scale technology initiatives Skills and experience in Agile methodologies is a plus Additional attributes: A proactive mindset with a focus on leveraging AI to drive business value Experience with budget oversight and resource allocation Knowledge of software development lifecycle and agile methodologies Work experience: Minimum of 8 years in AI/ML Platform management or related fields Minimum education level: Advanced degree (Masters or PhD preferred) in Computer Science, Data Science, Engineering, or a related field.

Design, build, and scale MLOps systems on Azure, integrating GenAI and edge deployments. Collaborate with AI teams, lead tech decisions, develop CI/CD/data pipelines, and support model optimization, deployment, and monitoring in production.

As a Data Scientist with over 5 years of experience, you will be responsible for leveraging your strong analytical and problem-solving skills along with your programming knowledge to drive hypothesis quickly through the discovery phase of projects. You will be expected to have advanced skills in statistical/programming software such as R, Python, and data querying languages like SQL, Hadoop/Hive, Scala. Additionally, you should possess hands-on experience in feature engineering, hyperparameter optimization, and producing high-quality code, tests, and documentation. Your role will involve utilizing Microsoft Azure or AWS data management tools like Azure Data Factory, Data Lake, Azure ML, Synapse, and Databricks. An understanding of descriptive and exploratory statistics, predictive modeling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and deep learning methodologies is crucial. Proficiency in statistical concepts, ML algorithms, and Agile principles is required. You will be expected to lead, manage, build, and deliver customer business results through data scientists or a professional services team. Strong communication skills are essential for sharing ideas effectively, summarizing and communicating data analysis assumptions and results. Being self-motivated, proactive, and capable of working both independently and in teams is important for success in this role. Experience in supply chain functions, AI/ML applications within CPG or Healthcare business environments, Pyomo, Mosel, truck load optimization, multi-echelon inventory optimization (MEIO), NLP, Vision, AR/VR, creating CI/CD pipelines using Jenkins, MLOPs framework implementation, and data security on ML models would be beneficial. Hands-on experience in developing ML-driven models is a plus. If you meet the above requirements and are keen on joining our team, please share your CV directly at career@roitech.biz.,

We are seeking a skilled and experienced AI/ML Engineer to join our Bangalore-based team. The ideal candidate will have a strong background in machine learning, data preprocessing, and deploying AI solutions in cloud environments. This role requires a hands-on professional with a consulting mindset who can translate business needs into actionable AI/ML solutions. The candidate will lead and support the design, implementation, and optimization of AI-powered tools across various business or public sector environments. The role also includes client interaction, mentoring junior staff, and contributing to end-to-end project lifecyclesfrom data ingestion to model deployment and monitoring. Lead the design and implementation of AI/ML solutions for clients. Translate business problems into technical requirements and model-driven solutions. Perform data preparation tasks, including cleansing, preprocessing, and handling missing or inconsistent data. Work with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Leverage cloud-based AI platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI. Provide functional support and guidance during implementation and post-deployment phases. Analyze and redesign business processes as required by AI implementations. Mentor junior team members and support business stakeholders in AI adoption. Engage directly with clients and senior stakeholders to drive solution outcomes. Collaborate across global virtual teams and contribute to best practices in AI solution delivery. To be successful in this role, you must have a Masters degree in computer science, Data Science, AI/ML, or a related technical discipline. Certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer Associate, TensorFlow Developer Certificate) are required. Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines for ML models) is essential. Exposure to Natural Language Processing (NLP), Computer Vision, or Deep Learning projects is preferred. Understanding of data privacy, model interpretability, and responsible AI principles is necessary. Experience working in cross-functional teams and global delivery models is an advantage. Prior experience in client-facing roles within consulting or IT services companies is beneficial. Strong business acumen and ability to communicate AI/ML concepts to non-technical stakeholders is crucial. The must-have skills for this role include 3+ years of hands-on experience in AI/ML development or consulting, proficiency in data preparation, including cleansing, feature engineering, and data validation, strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI), excellent problem-solving and communication skills, and ability to work in dynamic and globally distributed teams. Good-to-have skills include prior consulting experience with public or private sector clients, familiarity with DevOps and MLOps practices for model deployment and monitoring, exposure to business process mapping and improvement initiatives, and experience leading or supporting client-facing workshops or strategy sessions. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect, and belonging. Here, you'll reach your full potential because you are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team - one of the largest IT and business consulting services firms in the world.,

As an Azure - Development Consultant/Senior Consultant/Specialist at Hitachi Solutions India Pvt Ltd, you will be responsible for leveraging your 3 to 8 years of experience to work with Microsoft Azure Stack IoT Hub, Event Hub, Azure Functions, Azure Logic Apps, Azure Data Factory, Cosmos DB, Azure data bricks, Azure ML, IoT Edge, Docker, and Python. You will utilize your expertise in Serverless Functions (Using Java/Python), App services, Azure Kubernetes services, and more to configure, monitor, and handle scale scenarios for Network Service Components on Azure. Your experience in implementing Azure security, authentication, and single sign-on will be beneficial for the role. In addition to your primary skills, you will also be expected to deploy cloud applications in Azure following industry best practices, design cloud applications considering design patterns and principles, and ensure the performance tuning of cloud-based applications for optimal performance. Your familiarity with agile/DevOps environments, continuous integration/deployment, and automation tools like Jenkins, Puppet, Ansible, and Terraform will be valuable assets. Candidates with Microsoft certification in Azure Development will be preferred. Your role will involve implementing highly scalable solutions, translating business requirements into technical designs, understanding and improvising current applications and technical architectures, and following a structured approach to software development lifecycle. Strong code review skills will be essential to ensure project quality and resolve performance issues. If you have experience working with Azure Kubernetes, DevOps, microservices, Azure Service, Media services, Azure service bus, Azure storage, Azure AI modules, and leveraging Cloud-Based Machine Learning on Azure, you will be well-suited for this position. Your commitment to continuous learning and growth will be supported by our dynamic work environment, experienced leadership team, and regular training opportunities. Join us at Hitachi Solutions India Pvt Ltd to be part of a team that values creativity, innovation, and personal/professional growth. Your contributions will play a crucial role in our pursuit of profitable growth and expanded opportunities, as we strive to deliver superior value to customers worldwide through innovative solutions.,

You have a total of 8+ years of experience, with at least 4 years in AI, ML, and Gen AI technologies. You have successfully led and expanded AI/ML teams and projects. Your expertise includes a deep understanding and practical experience in AI, ML, Deep Learning, and Generative AI concepts. You are proficient in ML frameworks like PyTorch and/or TensorFlow and have worked with ONNX runtime, model optimization, and hyperparameter tuning. You possess solid experience in DevOps, SDLC, CI/CD, and MLOps practices, with a tech stack that includes Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, and ELK stack. You have deployed AI models at an enterprise scale and are skilled in data preprocessing, feature engineering, and handling large-scale data. Your expertise extends to image and video processing, object detection, image segmentation, and other computer vision tasks. In addition, you have proficiency in text analysis, sentiment analysis, language modeling, and various NLP applications. You also have experience in speech recognition, audio classification, and signal processing techniques. Your knowledge includes RAG, VectorDB, GraphDB, and Knowledge Graphs. You have extensive experience working with major cloud platforms such as AWS, Azure, and GCP for AI/ML deployments, and integrating cloud-based AI services and tools like AWS SageMaker, Azure ML, and Google Cloud AI. As for soft skills, you exhibit strong leadership and team management abilities, excellent verbal and written communication skills, strategic thinking, problem-solving capabilities, adaptability to the evolving AI/ML landscape, collaboration skills, and the capacity to translate market requirements into technological solutions. Moreover, you have a deep understanding of industry dynamics and a demonstrated ability to foster innovation and creative problem-solving within a team.,

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

About KPMG in India KPMG entities in India are professional services firm(s) affiliated with KPMG International Limited since August 1993. Leveraging the global network of firms, professionals at KPMG in India are well-versed in local laws, regulations, markets, and competition. With offices across various cities in India such as Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, KPMG entities offer services to national and international clients across sectors. The services aim to be rapid, performance-based, industry-focused, and technology-enabled, reflecting a deep understanding of global and local industries and the Indian business environment. Major Duties & Responsibilities - Collaborate with business stakeholders and cross-functional SMEs to understand business context and key questions. - Develop Proof of concepts (POCs) / Minimum Viable Products (MVPs) and guide them through production deployment. - Influence machine learning strategy for Digital programs and projects. - Provide solution recommendations balancing speed to market and analytical soundness. - Explore design options, assess efficiency and impact, and develop approaches for improvement. - Develop analytical / modelling solutions using commercial and open-source tools like Python, R, TensorFlow. - Formulate model-based solutions by combining machine learning algorithms with other techniques. - Design, adapt, and visualize solutions based on evolving requirements. - Create algorithms to extract information from large, multiparametric data sets. - Deploy algorithms to production for actionable insights from large databases. - Compare and recommend optimal techniques from various methodologies. - Develop and embed automated processes for predictive model validation, deployment, and implementation. - Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science. - Ensure solutions meet high standards of performance, security, scalability, maintainability, and reliability. - Lead discussions, provide thought leadership, and expertise in machine learning techniques. - Facilitate sharing of ideas, learnings, and best-practices across geographies. Required Qualifications - Minimum Bachelor of Science or Bachelor of Engineering. - Strong analytical, problem-solving skills, and programming knowledge. - Proficiency in statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala). - Hands-on skills in feature engineering and hyperparameter optimization. - Experience in producing high-quality code, tests, documentation. - Familiarity with Microsoft Azure or AWS data management tools. - Understanding of descriptive and exploratory statistics, predictive modelling, decision trees, machine learning algorithms, and deep learning methodologies. - Proficiency in statistical concepts and ML algorithms. - Knowledge of Agile principles and process. - Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team. - Strong communication skills and ability to share ideas effectively. - Self-motivated, proactive problem solver, capable of working independently and in teams. QUALIFICATIONS - B.Tech/M.Tech/MCA/M.Sc,

As a Sr. Data Scientist with over 5 years of professional experience, you will be joining the data team of Inferenz, a client of Uplers. Your primary responsibility will involve analyzing large datasets, developing predictive models, and deriving actionable insights to facilitate strategic decision-making. This role presents an exciting opportunity to create a tangible impact by leveraging machine learning, statistical analysis, and business intelligence within a dynamic work environment. Your key responsibilities will include extracting insights and constructing models to comprehend and predict key metrics. You will collaborate closely with stakeholders to identify business challenges and translate them into data science problems. Additionally, you will be responsible for collecting, cleaning, and pre-processing structured and unstructured data from diverse sources. Emphasis will be placed on research analysis, model development, and deploying machine learning models to address real-world business issues. You will also conduct statistical analysis to produce data-driven insights and recommendations, working in collaboration with engineering and product teams to implement data solutions. Automation of model performance monitoring and retraining will also be part of your duties. To qualify for this role, you need to hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. In addition, you should possess at least 5 years of experience in a data science or machine learning capacity. Proficiency in Python, particularly PySpark, pandas, scikit-learn, TensorFlow/PyTorch, is essential. Hands-on experience with MLflow for model tracking and deployment, as well as expertise in Databricks for scalable ML workflows, are required. Your skill set should also include the ability to handle data issues such as gaps, duplicates, and drifts, along with strong SQL capabilities and experience working with large databases. A solid understanding of statistical modeling, A/B testing, predictive analytics, supervised/unsupervised learning, and deep learning is crucial. Familiarity with cloud platforms like AWS, GCP, or Azure, and working knowledge of MLOps, will be advantageous. Effective problem-solving skills, communication abilities, attention to detail, and experience deploying models to production using CI/CD pipelines are desired attributes. Preferred skills for this role include experience with MosaicML, Azure ML, or AWS Sagemaker, as well as expertise in the Healthcare industry. The interview process consists of a technical round with the AD-Solution Architect, followed by two Techno/Managerial rounds with different stakeholders, and a final culture round with the MD. To apply for this opportunity, you need to click on the "Apply" button, register or login on the portal, complete the screening form, and upload your updated resume. Enhancing your chances of being shortlisted and meeting the client for an interview will be beneficial for your application. Uplers aims to simplify and expedite the hiring process, supporting talents in finding and applying for relevant contractual onsite opportunities to advance their careers. If you are prepared for a new challenge, a stimulating work environment, and a chance to elevate your career, do not hesitate to apply today. Uplers is looking forward to welcoming you aboard!,

The role of warehousing and logistics systems is becoming increasingly crucial in enhancing the competitiveness of various companies and contributing to the overall efficiency of the global economy. Modern intra-logistics solutions integrate cutting-edge mechatronics, sophisticated software, advanced robotics, computational perception, and AI algorithms to ensure high throughput and streamlined processing for critical commercial logistics functions. Our Warehouse Execution Software is designed to optimize intralogistics and warehouse automation by utilizing advanced optimization techniques. By synchronizing discrete logistics processes, we have created a real-time decision engine that maximizes labor and equipment efficiency. Our software empowers customers with operational agility essential for meeting the demands of an Omni-channel environment. We are seeking a dynamic individual who can develop state-of-the-art MLOps and DevOps frameworks for AI model deployment. The ideal candidate should possess expertise in cloud technologies, deployment architectures, and software production standards. Moreover, effective collaboration within interdisciplinary teams is key to successfully guiding products through the development cycle. **Core Job Responsibilities:** - Develop comprehensive pipelines covering the ML lifecycle from data ingestion to model evaluation. - Collaborate with AI scientists to expedite the operationalization of ML algorithms. - Establish CI/CD/CT pipelines for ML algorithms. - Implement model deployment both in cloud and on-premises edge environments. - Lead a team of DevOps/MLOps engineers. - Stay updated on new tools, technologies, and industry best practices. **Key Qualifications:** - Master's degree in Computer Science, Software Engineering, or a related field. - Proficiency in Cloud Platforms, particularly GCP, and relevant skills like Docker, Kubernetes, and edge computing. - Familiarity with task orchestration tools such as MLflow, Kubeflow, Airflow, Vertex AI, and Azure ML. - Strong programming skills, preferably in Python. - Robust DevOps expertise including Linux/Unix, testing, automation, Git, and build tools. - Knowledge of data engineering tools like Beam, Spark, Pandas, SQL, and GCP Dataflow is advantageous. - Minimum 5 years of experience in relevant fields, including academic exposure. - At least 3 years of experience in managing a DevOps/MLOps team.,

You are an experienced Senior Machine Learning Engineer looking to leverage your expertise in building and deploying ML model pipelines at scale. As part of Salesforce's Marketing AI/ML Algorithms and Applications team, you will play a crucial role in developing high-impact ML solutions that enhance marketing effectiveness and deliver customer value. In this role, you will collaborate closely with Data Science, Data Engineering, Product, and Marketing teams to design, implement, and operate end-to-end ML solutions at scale. Your responsibilities will include designing and developing scalable ML platforms and pipelines, implementing MLOps best practices for model serving and lifecycle management, optimizing ML workflows for scale and performance, and collaborating with cross-functional teams to create ML-driven decision-making data products. You will also evaluate and adopt emerging ML technologies, lead the design and deployment of ML model pipelines, implement infrastructure-as-code and automation for efficient ML operations, support the rollout of ML features, define and implement ML governance policies, and contribute to scaling operations by developing automation scripts and reusable libraries. To excel in this role, you should have 5+ years of experience in building and deploying ML model pipelines at scale, expert-level knowledge of containerization, orchestration, and workflow management technologies, advanced Python skills, extensive experience with cloud-based ML platforms, a proven track record in implementing MLOps best practices, proficiency in ML frameworks and MLOps tools, strong problem-solving skills, and experience contributing to ML projects that deliver measurable business value in marketing or customer analytics. This position offers you an exciting opportunity to apply your machine learning engineering expertise to drive data and AI-driven innovation for Salesforce, the world's #1 CRM provider. By working closely with the Data Science team, you will unlock transformative value for Salesforce's global customer base through AI/ML-driven marketing initiatives. Join us in shaping the future of customer engagement powered by AI and be a part of our mission to empower companies to do well and do good.,

As a Learning Data Science/Machine Learning Professional at our organization, you will be responsible for conducting live instruction sessions to teach core topics in data science and machine learning. These topics include supervised and unsupervised learning, deep learning, model evaluation, and MLOps. You will engage with learners through interactive sessions to ensure a comprehensive understanding of the subject matter. Collaboration with content teams is a crucial aspect of this role. You will work closely with these teams to design labs, conduct code walkthroughs, and develop real-world case studies utilizing Python, scikit-learn, TensorFlow/PyTorch, and cloud-based data science and machine learning services. Your input will contribute to the creation of a dynamic and engaging curriculum. In addition to live instruction and curriculum collaboration, you will provide support to learners by addressing technical queries, debugging code, reviewing notebooks, and offering constructive feedback on assignments and projects. Your mentorship will extend to guiding learners on capstone projects such as image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous improvement is a key focus area of this role. You will analyze learner performance data to refine modules, introduce emerging topics like transformers and generative models, and enhance assessments to ensure an enriching learning experience. To be successful in this position, you should possess a minimum of 3 years of industry or academic experience in data science, machine learning, or artificial intelligence. A Master's degree in Data Science, Machine Learning, AI, or a Computer Science specialization in AI and Data Science/Machine Learning is required. Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch is essential. Familiarity with MLOps tools like Docker, Kubernetes, MLflow, and cloud ML services such as AWS SageMaker, GCP AI Platform, or Azure ML is highly desirable. Strong presentation and mentoring skills in live and small-group settings are crucial for this role. Previous teaching or educational technology experience would be a significant advantage in fulfilling the responsibilities of this position.,

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 an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

We are looking for a Senior Solution Architect with 10+ years of experience in software development and AI/ML, including 5+ years in Generative AI and Azure ML, with hands on experience in designing and deployment of scalable AI solutions, drive innovation, and collaborate across teams to integrate cutting-edge technologies into business processes. Responsibilities & Skills: Architect and implement AI solutions using Generative AI, ML, and Azure ML aligned with business goals. Lead development of Generative AI models (e.g., GPT, DALL•E, BERT) for NLP, computer vision, and automation. Expert in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn); strong understanding of learning techniques. Hands-on experience with Azure ML, Azure AI Services, Data Lake, Databricks, and MLOps via Azure DevOps. Collaborate with cross-functional teams and mentor junior engineers to foster innovation and best practices. Advise leadership on AI strategy, emerging technologies, and scalable architecture. Define data strategy for AI/ML, ensuring governance, security, and compliance. Stay ahead of AI trends and prototype new solutions for continuous improvement. Engage with stakeholders to translate business needs into technical solutions. Experience with AWS/GCP, hybrid cloud, CI/CD for ML, and certifications in Azure AI/Architect. Familiarity with NLP, computer vision, and reinforcement learning. Proven track record in AI/ML solution architecture and cloud-native deployments. Strong leadership, communication, and stakeholder management skills. Bachelors/Masters in Computer Science or related field; Ph.D. preferred.

Tezo is a new generation Digital & AI solutions provider, renowned for delivering exceptional outcomes to customers through cutting-edge analytics, data proficiency, technology, and digital excellence. We are currently looking for a highly experienced and dynamic Practice Head in Data Science & AI to spearhead our data practice in Hyderabad. This role is tailored for a technology leader well-versed in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), with a track record of building and expanding data practices. The ideal candidate should possess strong business acumen, experience in solution selling, and pre-sales expertise. As the Practice Head in Data Science & AI at Tezo, you will have the following key responsibilities: Leadership & Strategy: - Create and execute the strategic vision for the Data Science and AI practice. - Form and lead a high-performing team comprising data scientists, ML engineers, and AI experts. - Collaborate with various teams to embed data-driven solutions within broader business strategies. Technical Expertise: - Oversee the design and implementation of advanced AI/ML solutions across diverse domains. - Stay updated on industry trends, emerging technologies, and best practices in AI, ML, and data science. - Offer technical guidance and hands-on support for key initiatives. Practice Development: - Establish frameworks, methodologies, and best practices to enhance the scalability of the data science practice. - Define and deploy reusable components, accelerators, and IPs to streamline solution delivery. Client Engagement & Pre-Sales: - Assist in business development by collaborating with sales teams to identify opportunities, craft proposals, and deliver presentations. - Engage in solution selling by tailoring AI/ML-based solutions to meet client requirements. - Cultivate strong client relationships and serve as a trusted advisor on their data journey. Required Skills & Experience: - Minimum of 12 years of experience, with at least 5 years in leading data science/AI teams. - Demonstrated expertise in establishing or leading data science or AI practices. - Strong technical background in AI, ML, NLP, predictive analytics, and data engineering. - Proficiency with tools and platforms such as Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, among others. - Sound understanding of data strategy, governance, and architecture. - Proven track record in solutioning and pre-sales engagements. - Excellent communication, leadership, and stakeholder management skills.,

We are seeking a talented Systems Architect (AVP level) with specialized knowledge in designing and expanding Generative AI solutions for production environments. In this pivotal position, you will collaborate across various teams including data scientists, ML engineers, and product leaders to mold enterprise-level GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI, architecting data pipelines, training/inference workflows, and integrating MLOps. You will be tasked with ensuring that systems are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic AI, vector DBs, and CI/CD for AI. The ideal candidate should possess 12-15 years of experience in cloud-native and distributed systems, with 2-3 years focusing on GenAI/LLMs utilizing tools like LangChain, HuggingFace, and Kubeflow. Proficiency in cloud platforms such as AWS, GCP, or Azure (SageMaker, Vertex AI, Azure ML) is essential. Experience with RAG, semantic search, agent orchestration, and MLOps is highly valued. Strong architectural acumen, effective stakeholder communication skills, and preferred certifications in cloud technologies, AI open-source contributions, and knowledge of security and governance are all advantageous.,

As a Software Engineer specializing in AI/ML/LLM/Data Science at Entra Solutions, a FinTech company within the mortgage Industry, you will play a crucial role in designing, developing, and deploying AI-driven solutions using cutting-edge technologies such as Machine Learning, NLP, and Large Language Models (LLMs). Your primary focus will be on building and optimizing retrieval-augmented generation (RAG) systems, LLM fine-tuning, and vector search technologies using Python. You will be responsible for developing scalable AI pipelines that ensure high performance and seamless integration with both cloud and on-premises environments. Additionally, this role will involve implementing MLOps best practices, optimizing AI model performance, and deploying intelligent applications. In this role, you will: - Develop, fine-tune, and deploy AI/ML models and LLM-based applications for real-world use cases. - Build and optimize retrieval-augmented generation (RAG) systems using Vector Databases such as ChromaDB, Pinecone, and FAISS. - Work on LLM fine-tuning, embeddings, and prompt engineering to enhance model performance. - Create end-to-end AI solutions with APIs using frameworks like FastAPI, Flask, or similar technologies. - Establish and maintain scalable data pipelines for training and inferencing AI models. - Deploy and manage models using MLOps best practices on cloud platforms like AWS or Azure. - Optimize AI model performance for low-latency inference and scalability. - Collaborate with cross-functional teams including Product, Engineering, and Data Science to integrate AI capabilities into applications. Qualifications: Must Have: - Proficiency in Python - Strong hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI APIs. Good to Have: - Experience with LLM fine-tuning, embeddings, and transformers. - Knowledge of NLP, vector search technologies (ChromaDB, Pinecone, FAISS, Milvus). - Experience in building scalable AI models and data pipelines with Spark, Kafka, or Dask. - Familiarity with MLOps tools like Docker, Kubernetes, and CI/CD for AI models. - Hands-on experience in cloud-based AI deployment using platforms like AWS Lambda, SageMaker, GCP Vertex AI, or Azure ML. - Knowledge of prompt engineering, GPT models, or knowledge graphs. What's in it for you - Competitive Salary & Full Benefits Package - PTOs / Medical Insurance - Exposure to cutting-edge AI/LLM projects in an innovative environment - Career Growth Opportunities in AI/ML leadership - Collaborative & AI-driven work culture Entra Solutions is an equal employment opportunity employer, and we welcome applicants from diverse backgrounds. Join us and be a part of our dynamic team driving innovation in the FinTech industry.,

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

We are looking for a Systems Architect (AVP level) with extensive experience in designing and scaling Generative AI solutions for production. As a Systems Architect, you will play a crucial role in collaborating with data scientists, ML engineers, and product leaders to shape enterprise-grade GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI. You will also be responsible for architecting data pipelines, training/inference workflows, and MLOps integration. It is essential to ensure that the systems you design are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic AI, vector DBs, and CI/CD for AI. The ideal candidate should have 12-15 years of experience in cloud-native and distributed systems, with at least 2-3 years of experience in GenAI/LLMs using tools like LangChain, HuggingFace, and Kubeflow. Proficiency in cloud platforms such as AWS, GCP, or Azure (SageMaker, Vertex AI, Azure ML) is required. Experience with technologies like RAG, semantic search, agent orchestration, and MLOps will be beneficial for this role. Strong architectural thinking and effective communication with stakeholders are essential skills. Preferred qualifications include cloud certifications, AI open-source contributions, and knowledge of security and governance principles. If you are passionate about designing cutting-edge Generative AI solutions and possess the necessary skills and experience, we encourage you to apply for this leadership role.,

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

As a Data Scientist for AI Products at Linde, you will be an integral part of the Artificial Intelligence team within Linde's global corporate division. Your primary responsibility will involve working on real business challenges and opportunities across multiple countries. Your focus will be on supporting the AI team in extending existing AI products and developing new ones to cater to various use cases within Linde's business and value chain. Collaboration with diverse teams including Project Managers, Data Scientists, Data and Software Engineers will be a key aspect of your role. You will directly work with a variety of data sources, types, and structures to derive actionable insights. Developing, customizing, and managing AI software products based on Machine and Deep Learning backends will be among your core tasks. Your role will also entail supporting the replication of existing products and pipelines to other systems and geographies, defining data requirements for new developments, and interacting with business functions to identify opportunities with potential business impact. To excel in this role, you are required to have a Bachelor's or Master's degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research, or a related field. A strong understanding and practical experience in Multivariate Statistics, Machine Learning, and Probability concepts are essential. Additionally, hands-on experience with preprocessing, feature engineering, data cleansing, and Python programming skills are crucial. Proficiency in handling large datasets using SQL, knowledge of data architectures, and experience with data visualization tools like Tableau or PowerBI are desired. Your result-driven mindset, excellent communication skills, and ability to structure projects from ideation to implementation will be valuable assets in this role. Fluency in English is a must, and any experience with DevOps, MS Azure, Azure ML, Kedro, Airflow, MLflow, or similar tools will be advantageous. Working at Linde offers you the opportunity to be part of a leading global industrial gases and engineering company with a strong commitment to sustainable development and customer success. If you are looking for a challenging yet rewarding career where you can make a positive impact on the world, Linde provides limitless possibilities for your professional growth. Join us in our mission to make the world more productive and sustainable. Let's talk about how you can contribute to our team!,