9276 Pytorch Jobs - Page 16

You will work as a Machine Learning Ops Engineer at Netsmart, contributing to the design, implementation, and maintenance of ML pipelines for model training, validation, and deployment. Your role involves automating model deployment processes using CI/CD pipelines and containerization technologies. You will be responsible for monitoring model performance, data drift, and system health in production environments, collaborating with data scientists to operationalize machine learning models and algorithms. Additionally, you will implement version control for models, datasets, and ML experiments using MLOps tools, optimize ML infrastructure for scalability, reliability, and cost-effectiveness, and troubleshoot and resolve issues related to model deployment and production systems. It will be part of your responsibility to maintain documentation for ML workflows, deployment processes, and system architecture. This position may require availability outside of standard business hours as part of a rotational on-call schedule. To qualify for this role, you must hold a Bachelor's degree in computer science, Information Management, or a related field. You are expected to have 2-4 years of experience in software development, DevOps, or data engineering. Proficiency in Python, SQL, and at least one ML framework such as TensorFlow, PyTorch, or Scikit-learn is required. Experience with containerization (Docker) and orchestration tools (Kubernetes), cloud platforms like AWS, Azure, GCP, and their ML services, as well as knowledge of CI/CD pipelines, version control (Git), and infrastructure as code are essential. Moreover, familiarity with monitoring tools, logging frameworks for production systems, data pipeline tools like Apache Airflow, Kubeflow, or similar, strong problem-solving skills, and the ability to work in fast-paced, collaborative environments are expected. Preferred skills include experience with MLOps platforms like MLflow, Weights & Biases, Neptune, knowledge of streaming data processing (e.g., Kafka, Kinesis), familiarity with infrastructure monitoring tools such as Prometheus, Grafana, understanding of model interpretability and explainability techniques, experience with feature stores and data versioning tools, and certification in cloud platforms like AWS ML, Azure AI, GCP ML. At Netsmart, you will be part of an inclusive environment that prioritizes your growth, offering professional development opportunities, competitive compensation packages, and comprehensive benefits. Netsmart is an Equal Opportunity Employer.,

You will be responsible for building and deploying scalable LLM-based systems using technologies such as OpenAI, Claude, LLaMA, or Mistral for contract understanding and legal automation. Additionally, you will design and implement Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases like FAISS, Pinecone, and Weaviate. Your role will involve fine-tuning and evaluating foundation models for domain-specific tasks such as clause extraction, dispute classification, and document QA. Furthermore, you will be expected to create recommendation models that offer suggestions for similar legal cases, past dispute patterns, or clause templates through collaborative and content-based filtering. Developing inference-ready APIs and backend microservices using FastAPI/Flask and integrating them into production workflows will also be part of your responsibilities. You will need to optimize model latency, prompt engineering, caching strategies, and accuracy using A/B testing and hallucination checks. Collaboration with Data Engineers and QA team members to convert ML prototypes into production-ready pipelines will be essential. Continuous error analysis, evaluation metric design (F1, BLEU, Recall@K), and prompt iterations will also fall under your purview. Participation in model versioning, logging, and reproducibility tracking using tools like MLflow or LangSmith is expected. Additionally, staying up-to-date with research on GenAI, prompting techniques, LLM compression, and RAG design patterns will be crucial. Qualifications: - Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field. - 2+ years of experience in applied ML/NLP projects with real-world deployments. - Experience with LLMs like GPT, Claude, Gemini, Mistral, and techniques like fine-tuning, few-shot prompting, and context window optimization. - Strong knowledge of Python, PyTorch, Transformers, LangChain, and embedding models. - Hands-on experience integrating vector stores and building RAG pipelines. - Understanding of NLP techniques such as summarization, token classification, document ranking, and conversational QA. - Bonus: Experience with Neo4j, recommendation systems, or graph embeddings.,

Role Overview We are seeking a highly analytical and detail-oriented Data Analysis Engineer to lead the development of our Recommendation Engine . This role is central to building intelligent, personalized suggestions that help users navigate lifestyle and health decisions. You will work at the intersection of data science, software engineering, and product development, leveraging multi-source data—metabolic, behavioral, and contextual—to craft meaningful and evidence-based user experiences. Key Responsibilities Architect and develop a robust, scalable recommendation system using structured and unstructured data. Design data pipelines and models to collect, process, and analyse behavioural, demographic, and physiological inputs. Apply machine learning and statistical techniques to predict user preferences and outcomes. Work closely with data engineers, product managers, and medical advisors to refine personalisation logic. Continuously evaluate and tune algorithms for accuracy, diversity, and user satisfaction. Design and monitor performance metrics (CTR, precision/recall, RMSE, etc.) to assess and improve model quality. Translate business questions into data queries and actionable insights. Document model assumptions, architecture, and validation rigorously to meet audit and compliance standards. Required Qualifications Bachelor’s or Master’s in Computer Science, Statistics, Data Science, or related field. 3–6 years of hands-on experience building data products, ideally involving recommendation engines or personalisation systems. Strong programming skills in Python or Scala, with proficiency in libraries like Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Proven ability to build and deploy models using ML frameworks and MLOps tools. Deep understanding of algorithms such as collaborative filtering, matrix factorization, embeddings, and content-based filtering. Exposure to real-time data ingestion systems like Kafka, Spark Streaming, or Flink is a plus. Preferred Skills Prior experience in healthtech, wellness, or behavioral analytics domains. Knowledge of A/B testing, causal inference, or reinforcement learning. Experience with AWS, GCP, or Azure cloud platforms. Comfort working with multi-disciplinary teams and translating complex data into user-friendly insights. Why Join Us? Be part of a mission-driven company transforming preventive healthcare through intelligent personalization. Work with real-world data to improve lives, not just metrics.

Greetings from Ubique Systems! We are currently looking to hire an AI/ML Developer with a focus on OCR (Optical Character Recognition). We prefer candidates who can join immediately or within 30 days. This is a remote position requiring a minimum of 5 years of relevant experience in the field of AI/ML. As an AI/ML Developer at Team Computers, you will be responsible for building, deploying, and enhancing AI/ML models with a special emphasis on OCR. You will work on AI applications within a challenging supply chain environment. Your key responsibilities will include taking end-to-end ownership of AI/ML model development, translating real business challenges into AI solutions, leading OCR-based projects, and utilizing tools such as TensorFlow, Keras, PyTorch, GluonTS, and Darts. Collaboration with Data Engineers and integration of solutions with Azure Cloud will also be part of your role. The ideal candidate should possess strong Python skills, a deep understanding of ML algorithms, NLP, and Deep Learning, along with knowledge of OCR, neural networks, and model deployment. Hands-on experience with AI frameworks like TensorFlow, Keras, and PyTorch is essential. Exposure to Azure, SQL/Mongo/ElasticSearch, good communication skills, and the ability to articulate project experiences in detail are also required. Candidates with experience in Supply Chain or Transportation, as well as exposure to C#/.NET, will be given preference. The interview process will be conducted on a rolling basis, and early applications are encouraged. If you are an immediate joiner with a passion for AI/ML and OCR, please feel free to DM us or share your updated resume at [nikita.bhattacharya@ubique-systems.com]. Join us and be part of our exciting AI/ML journey! #Hiring #AIML #MachineLearning #OCR #Python #ImmediateJoiner #RemoteJob,

You are a Senior Machine Learning Engineer with 2-5 years of experience, located in Hyderabad. As a Senior Machine Learning Engineer, your primary responsibilities will include leading the training, fine-tuning, and validation of Language Models (LLMs) customized for web applications. You will be tasked with deploying and optimizing these models to web-based inference endpoints to ensure fast responses and high uptime. Monitoring the real-time performance of models on the web and making necessary adjustments to maintain desired accuracy will be a crucial part of your role. Staying updated on advancements in LLMs, specifically focusing on techniques like prompt engineering, PEFT, LORA, and SFT tailored for web contexts is essential. You will utilize the LangChain framework to develop applications powered by language models, ensuring seamless integration with data sources and enabling the model to interact effectively with its environment. Managing LangChain's modular abstractions and implementing use-case specific chains for optimal language model application will also be part of your responsibilities. Upholding strict data privacy and security standards during web-based model deployments is paramount. Collaboration with the Full Stack Development team to ensure smooth integration of models into web platforms will also be a key aspect of your role. To qualify for this position, you should have solid experience as a Machine Learning Engineer, with expertise in Gen AI & LLMs suitable for web environments. Proficiency in machine learning frameworks like TensorFlow and PyTorch is required. A proven track record of training, fine-tuning, and deploying LLMs optimized for web platforms is essential. Deep comprehension of advanced techniques like prompt engineering, PEFT, LORA, and SFT in web contexts is necessary. Hands-on expertise with the LangChain framework, including its modular abstractions and use-case specific chains for language model application, is expected. Familiarity with tools and practices for monitoring model performance and metrics on the web is a plus. An innovative problem-solving mindset, combined with a flair for optimization, will be beneficial. Outstanding communication skills and a teamwork-oriented attitude are highly valued in this role.,

As a Python Solution Architect with over 10 years of experience, you will play a crucial role in designing and implementing scalable, high-performance software solutions that align with business requirements. Your expertise in Python frameworks (e.g., Django, Flask, FastAPI) will be instrumental in architecting efficient applications and microservices architectures. Your responsibilities will include collaborating with cross-functional teams to define architecture, best practices, and oversee the development process. You will be tasked with ensuring that Python solutions meet business goals, align with enterprise architecture, and adhere to security best practices (e.g., OWASP, cryptography). Additionally, your role will involve designing and managing RESTful APIs, optimizing database interactions, and integrating Python solutions seamlessly with third-party services and external systems. Your proficiency in cloud environments (AWS, GCP, Azure) will be essential for architecting solutions and implementing CI/CD pipelines for Python projects. You will provide guidance to Python developers on architectural decisions, design patterns, and code quality, while also mentoring teams on best practices for writing clean, maintainable, and efficient code. Preferred skills for this role include deep knowledge of Python frameworks, proficiency in asynchronous programming, experience with microservices-based architectures, and familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Your understanding of relational and NoSQL databases, RESTful APIs, cloud services, CI/CD pipelines, and Infrastructure-as-Code tools will be crucial for success in this position. In addition, your experience with security tools and practices, encryption, authentication, data protection standards, and working in Agile environments will be valuable assets. Your ability to communicate complex technical concepts to non-technical stakeholders and ensure solutions address both functional and non-functional requirements will be key to delivering successful projects.,

The Opportunity We are seeking a talented and driven Machine Learning Engineer to join our team in Hyderabad, Telangana, India. This is an exciting full-time opportunity for an individual with a strong background in machine learning, particularly in Computer Vision and Natural Language Processing, to design, develop, and deploy advanced ML models. Position : Machine Learning Engineer Experience : 3+ Years Location : Hyderabad Working Days : 5 days a week Key Responsibilities As a Machine Learning Engineer, you will be instrumental in developing and deploying intelligent solutions. Your responsibilities will include : Model Design & Optimization : Design, train, and rigorously optimize various machine learning models to achieve high performance and accuracy. Vision & Text Model Fine-tuning : Possess a deep understanding of, and ability to, fine-tune both Computer Vision (CV) and Natural Language Processing (NLP) models for specific tasks and datasets. Research-to-Production Implementation : Implement State-of-the-Art (SOTA) techniques from academic and industry research papers, translating them into robust, production-ready code and solutions. Architectural Expertise : Demonstrate hands-on experience with transformer architectures and Convolutional Neural Networks (CNNs). Efficient Python Development : Write efficient, scalable, and maintainable Python code for all stages of the ML lifecycle, from data preprocessing to model deployment. Cross-functional Collaboration : Work effectively in a cross-functional environment, collaborating with data scientists, software engineers, and product managers to integrate ML solutions into larger systems. Skills And Qualifications Experience : Minimum of 3+ years of hands-on experience in training and deploying machine learning models, specifically in Computer Vision (CV) and Natural Language Processing (NLP). Python Proficiency : Strong and demonstrated proficiency in Python programming, including experience with relevant ML/DL libraries (e.g., TensorFlow, PyTorch, Keras, scikit-learn). Model Architectures : Familiarity and practical experience with State-of-the-Art (SOTA) architectures in both CV and NLP, including various transformer models and advanced CNNs. Problem-Solving : Excellent analytical and problem-solving skills. Communication : Good communication skills, both written and verbal, for effective collaboration. Desired Skills And Experience Core ML : Machine Learning principles and algorithms Domains : Computer Vision, Natural Language Processing Architectures : Convolutional Neural Networks (CNNs), Transformer models Programming : Python (efficient, scalable coding) Deployment : Experience transitioning models from research to production Collaboration : Cross-functional teamwork (ref:hirist.tech)

We are seeking an experienced AI Engineer to join our team and spearhead the development of cutting-edge AI solutions with a focus on Generative AI and applications in the legal domain. The ideal candidate will have a strong background in building and training AI/ML models from scratch, deploying them into production, and working with advanced NLP, LLMs, and vector databases. If you have previously created AI models, including custom Large Language Models (LLMs) or domain-specific models, you will be an excellent fit for this role. Key Responsibilities Design, develop, and train custom AI models, including Generative AI and NLPbased models tailored for the legal domain. Implement techniques for fine-tuning and optimizing large language models for domain-specific use cases. Build models from scratch where required, ensuring scalability, accuracy, and efficiency. Design and implement AI-driven systems using Python and frameworks such as FastAPI and Django for robust API development. Develop and integrate vector databases for semantic search, embeddings, and retrieval-augmented generation (RAG). Manage data pipelines, including preprocessing and cleansing of unstructured text (legal documents, contracts, case law, etc.). Work with SQL and PostgreSQL databases for structured data storage and retrieval. Develop generative solutions for document summarization, legal drafting, knowledge extraction, and automated reasoning. Leverage modern transformer architectures (e.g., GPT, BERT, LLaMA, Falcon, etc.) to build advanced capabilities. Collaborate with product, legal, and engineering teams to understand requirements and deliver solutions in an Agile environment using tools like Jira and GitHub. Mentor junior engineers and contribute to knowledge sharing within the team. Stay updated with the latest advancements in AI, LLMs, RAG, and Generative AI technologies and apply them to real-world use cases. Propose innovative solutions to improve efficiency, accuracy, and scalability of existing systems. Preferred Skills & Qualifications Education: Bachelors or Masters in Computer Science, AI/ML, Data Science, or related field. Programming: Strong expertise in Python. Frameworks: FastAPI, Django. AI/ML: TensorFlow, PyTorch, Hugging Face, LangChain (preferred). Databases: MySQL, PostgreSQL, experience with Vector Stores (e.g., Pinecone, Weaviate, FAISS). Deployment: Experience in containerization (Docker), CI/CD pipelines. Domain Knowledge: Exposure to legal domain applications (contract analysis, case law research, compliance automation) is highly desirable. Tools & Practices: GitHub, Jira, Agile methodology. Experience: 8+ years in AI/ML engineering, proven track record of building and deploying custom AI models into production, hands-on experience with Generative AI, LLM fine-tuning, and retrieval-augmented generation (RAG). Good To Have Experience with cloud platforms (AWS, Azure, GCP) for AI deployments. Knowledge of MLOps practices for model lifecycle management. Contributions to open-source AI/ML projects. Prior experience in building legal-specific AI tools or solutions (ref:hirist.tech)

We are seeking a highly skilled Senior Python Developer with expertise in Python frameworks and experience in AI/ML model development. The ideal candidate will have a strong passion for developing scalable applications, working with data-driven systems, and implementing intelligent solutions. Responsibilities include designing, developing, and maintaining scalable Python applications, utilizing Python frameworks such as Django, Flask, and FastAPI, as well as integrating AI/ML models into production systems. The candidate will be expected to write clean, efficient, and reusable code following best practices, collaborate with cross-functional teams, debug, optimize, and ensure high performance of applications, and stay updated with emerging technologies in the AI/ML and Python ecosystem. Required Skills & Qualifications: - 3-5 years of professional experience in Python development - Strong knowledge of Python frameworks (Django, Flask, FastAPI) - Experience with AI/ML algorithms and libraries (TensorFlow, PyTorch, Scikit-learn) - Hands-on experience with REST APIs, SQL/NoSQL databases - Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus - Good understanding of software development best practices (Agile, Git, CI/CD) - Strong problem-solving skills and ability to work independently This is a full-time position based in the Silver Trade Center, Utran Surat. The job type is full-time and the work location is in-person. The schedule is a day shift and the required experience includes 3 years in Python and 1 year in AI/ML. The location requirement is Surat, Gujarat.,

We are looking for a talented MERN Stack Intern to join our dynamic team of innovators and contribute to the development of our AI products from start to finish. As a MERN Stack Intern, you will work closely with our team of AI engineers and domain experts to create robust and scalable software solutions that incorporate AI technologies into real-world applications. The ideal candidate should have a passion for using technology to solve complex problems and possess a solid background in both frontend and backend development. As a MERN Stack Intern, your responsibilities will include collaborating with cross-functional teams to understand project requirements and translate them into technical specifications. You will develop front-end components using React.js and integrate them with back-end services built with Node.js and Express.js. Additionally, you will design and implement RESTful APIs for seamless communication between the front-end and back-end systems, leverage databases such as MongoDB for efficient data storage and retrieval, and implement AI and machine learning algorithms to enhance product functionality and user experience. It is crucial to write clean, maintainable, and well-documented code following best practices and coding standards. You will also be involved in code reviews, debugging, and troubleshooting to ensure the software's quality and reliability. The ideal candidate for this role should hold a Bachelors or Masters Degree in Computer Science, Engineering, or a related field. Proficiency in JavaScript, HTML, CSS, and related web technologies is essential, along with a strong understanding of the MERN stack. Familiarity with AI and machine learning concepts and frameworks like TensorFlow, PyTorch, and scikit-learn will be advantageous. Strong problem-solving skills, attention to detail, the ability to work effectively in a team environment, excellent communication skills, and a passion for learning new technologies are key attributes we are looking for. Techolution is a consulting firm committed to delivering innovative solutions and enhancing the human experience through novel technologies. Our goal is to help our enterprise clients achieve greater profits while creating positive impacts on the communities they serve. Recently recognized with the prestigious Inc 500 Best In Business award, we are dedicated to excellence and delivering ROI-generating innovation at a guaranteed price for each client. Visit our website www.techolution.com to learn more about our innovative core practices and how we use technology to enrich human experiences.,

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 11+ years. Hands on working experience in data science with a focus on predictive modeling and optimization. Strong working experience with Data Science on GCP, Generative AI fundamentals. Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g. Azure, GCP). Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques. Familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering. Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 11+ years. Hands on working experience in data science with a focus on predictive modeling and optimization. Strong working experience with Data Science on GCP, Generative AI fundamentals. Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g. Azure, GCP). Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques. Familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering. Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 5+ years. Hands on working experience in data science with a focus on predictive modeling and optimization. Strong working experience with Data Science on GCP, Generative AI fundamentals. Strong experience with Python (and/or R), SQL and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g. Azure, GCP and AWS). Experience in deploying ML models in production using MLflow, Kubeflow, Docker, Kubernetes. Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques. Familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering. Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

You will be working as a Machine Learning Engineer in an in-office setting in Hyderabad. Your primary focus will be on utilizing AI/ML techniques, specifically in computer vision applications. Your responsibilities will include designing, building, and fine-tuning machine learning models for tasks like object detection, segmentation, and image classification. As a Machine Learning Engineer, you will leverage pre-trained models and implement fine-tuning to customize them for specific use cases. It will be crucial for you to optimize model performance by incorporating cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning. Collaboration with data scientists, engineers, and product teams is essential to deliver AI solutions that align with business requirements. Your role will involve developing scalable solutions and deployment pipelines to operationalize machine learning models effectively. You will need to prioritize model efficiency, ensuring high speed and low latency in production environments. Staying updated on the latest trends and technologies in AI, machine learning, and computer vision will be key in enhancing existing solutions. Additionally, you will conduct thorough evaluations of models using relevant metrics and implement strategies for performance enhancement. Troubleshooting and resolving model-related issues in production environments will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's, Master's, or PhD in Computer Science and possess at least 3 years of experience in machine learning or deep learning, focusing on computer vision. Expertise in model fine-tuning, transfer learning, and working with pre-trained models like ResNet, VGG, and EfficientNet is required. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras, along with a deep understanding of deep learning architectures, is essential. Familiarity with vision-specific tasks, data preprocessing, augmentation, and labeling techniques for vision tasks, as well as proficiency in programming languages like Python, C++, or similar, are necessary. A strong grasp of model evaluation techniques and metrics for computer vision tasks and experience with cloud platforms and containerization technologies will be advantageous.,

As an AI Data Scientist at Johnson Controls located in Pune, India, you will be an integral part of the Data Strategy & Intelligence team. You will be responsible for developing and deploying machine learning/Generative AI and time series analysis models in production to contribute to optimized energy utilization, auto-generation of building insights, and predictive maintenance for installed devices. To excel in this role, you must possess a deep understanding of machine learning concepts, Large Language Models (LLM), time series models, and have hands-on experience in developing and deploying ML/Generative AI/time series models in a production environment. Your primary responsibilities will include developing and maintaining AI algorithms and capabilities within digital products at Johnson Controls. By leveraging data from commercial buildings and applying advanced algorithms, you will optimize building energy consumption, reduce CO2 emissions, enhance user comfort, and generate actionable insights to improve building operations. Additionally, you will translate data into recommendations for various stakeholders, ensuring that AI solutions deliver robust and repeatable outcomes through well-designed algorithms and software. Collaboration is key in this role, as you will work closely with product managers to design new AI capabilities, explore and analyze datasets, write Python code to develop ML/Generative AI/time series prediction solutions, implement state-of-the-art techniques in Generative AI, and pre-train and finetune ML models over CPU/GPU clusters. You will also uphold code-quality standards, develop test cases to validate algorithm correctness, and communicate key results to stakeholders effectively. The ideal candidate for this position should hold a Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 5 years of experience in developing and deploying ML models. Proficiency in Python and standard ML libraries such as PyTorch, Tensorflow, and scikit-learn is essential. Moreover, a strong understanding of ML algorithms and techniques, experience in working with cloud-based ML/GenAI model development/deployment, and excellent communication skills are prerequisites for success in this role. Preferred qualifications include prior domain experience in smart buildings and building operations optimization, as well as experience working with Microsoft Azure Cloud.,

As a Machine Learning Engineer at Optimum Data Analytics, you will be part of a strategic technology partner delivering reliable turnkey AI solutions. Your role will involve designing, developing, and deploying machine learning models for real-world applications using modern ML tools and frameworks. You will collaborate with cross-functional teams to ensure high-quality results and client satisfaction. Additionally, you will work on integrating and experimenting with Large Language Models, such as OpenAI GPT and Hugging Face Transformers, to drive outcomes that matter. Your expertise in Python programming, machine learning algorithms, and model development will be crucial in optimizing end-to-end ML pipelines and improving model accuracy and reliability. Key Responsibilities: - Design, develop, and deploy machine learning models for real-world applications. - Implement and optimize end-to-end ML pipelines using PySpark and MLflow. - Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. - Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. - Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. - Collaborate with cross-functional teams including data engineers, product managers, and software developers. - Monitor model performance and continuously improve model accuracy and reliability. - Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: - Strong programming experience in Python. - Solid understanding of machine learning algorithms, model development, and evaluation techniques. - Experience with PySpark for large-scale data processing. - Proficient with MLflow for tracking experiments and model lifecycle management. - Hands-on experience with Pandas, NumPy, and Scikit-learn. - Familiarity or hands-on experience with Large Language Models (LLMs). - Understanding of MLOps principles and deployment best practices. Preferred Qualifications: - Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. - Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. - Strong analytical and problem-solving abilities. - Excellent communication and teamwork skills. If you are a highly motivated individual with 6-8 years of experience in Machine Learning and are looking to work onsite at either Pune or Indore office with an immediate joiner notice period of 15 days, we invite you to join our team at Optimum Data Analytics. Let's change how AI/ML is approached in the service sector and deliver outcomes that matter together.,

As a Data Scientist Lead-GenAI at Your Partner, a strategic technology partner specializing in AI solutions, you will be responsible for developing and deploying machine learning models and NLP solutions. With 8 to 10 years of experience, you will play a key role in optimizing performance for GenAI applications and collaborating with cross-functional teams to deliver AI-driven insights. Your expertise in Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) will be essential in driving the success of our projects. Proficiency in Python and NLP libraries such as NLTK, spaCy, TextBlob, TensorFlow, PyTorch, and Hugging Face is required. Experience with pre-trained models like BERT, GPT-3, and Transformers, as well as text preprocessing techniques including tokenization, part-of-speech tagging, lemmatization, stemming, and named entity recognition, will be highly valued. As a key member of our team, you will be expected to stay updated with the latest advancements in NLP technologies and play a crucial role in the growth and transformation of businesses. Your role will involve handling NLP tasks such as sentiment analysis, text classification, and entity recognition, while also focusing on effective stakeholder management and people leadership. Join us in changing how AI/ML is approached in the service sector and delivering outcomes that matter. Your contributions will enable businesses to grow, transform, and achieve their objectives, ultimately increasing profit and delivering improved value for customers.,

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!,

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

At Quark, we have been at the forefront of revolutionizing graphic design, digital publishing, and content automation since 1981. With over four decades of experience, we empower organizations to master their content lifecycle through cutting-edge design, automation, and intelligence. Our innovative software solutions allow customers to efficiently create, manage, publish, and analyze their content. As we enter a new phase of growth, we are seeking exceptional individuals to join our global team. Quark serves as the foundation for all content, just like a Quark forms the basis of all matter in science. Our commitment to excellence is encapsulated in our tagline, "brilliant content that works." With a diverse global workforce of approximately 250 professionals, we foster an inclusive culture that values and celebrates our team's diversity. As a highly motivated Senior AI Engineer at Quark Inc., you will play a crucial role in our expanding AI team. Your primary responsibilities will include building scalable AI systems that focus on document conversion, domain-adaptive model training, and conversational AI. The ideal candidate will possess a strong background in Natural Language Processing (NLP), experience with both open-source and commercial AI platforms, and a proven track record of delivering AI solutions in production environments. Your key responsibilities will include: - Designing and implementing AI pipelines for converting unstructured documents to structured formats such as XML, JSON, or proprietary schemas. - Developing and fine-tuning Conversational AI agents (chatbots, virtual assistants) for various use cases using Large Language Models (LLMs) or open-source models. - Training, evaluating, and deploying domain-specific AI/ML/NLP models. - Collaborating with product managers, domain experts, and backend/frontend engineers to integrate AI capabilities into production systems. - Leveraging frameworks like LangChain, Spring AI, or RAG pipelines for building intelligent systems. - Building tools and infrastructure to facilitate scalable and reusable AI model development. - Conducting comprehensive data preprocessing, feature engineering, and model performance evaluations. - Enabling Bring Your Own Model/AI capabilities for customers by designing pluggable AI interfaces. - Keeping abreast of the latest research and developments in the AI space. We are looking for candidates with the following qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - 8+ years of experience in Software Development. - 5+ years of professional experience in AI/ML/NLP. - Proven experience in Document AI, Conversational AI, model training and fine-tuning, strong programming skills in Python, and familiarity with Java/Kotlin-based backends. - Hands-on experience with frameworks like HuggingFace Transformers, LangChain, Spring AI, TensorFlow, PyTorch, or OpenAI API. - Experience with vector databases and semantic search, as well as familiarity with cloud platforms like Azure, AWS, or GCP. - Solid understanding of data privacy, model security, and ethical AI principles. Join Quark, a pioneer in closed-loop content lifecycle management, and be part of a team that enables organizations to engage their audiences with precision and impact. We offer comprehensive benefits from day one and are committed to your growth and success. Together, we will harness the power of innovative and successful content.,

Do you want to be part of a team that delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month Join the Microsoft Turing team, an innovative engineering and research team working on cutting-edge deep learning models and conversational search experiences. The team leads the platform and innovation for conversational search and core copilot experiences across Microsoft's ecosystem, including BizChat, Office, and Windows. As a Principal Applied Science Manager in the Turing team, you will be involved in multiple hands-on data science activities with tight timelines. This includes training models, creating evaluation sets, building infrastructure for training and evaluation, and more. You will collaborate with internal and external data science, product, and engineering teams across time zones. Microsoft's mission is to empower every person and organization on the planet to achieve more. We embrace a growth mindset, innovate to empower others, and collaborate to achieve our shared goals. We uphold values of respect, integrity, and accountability to create an inclusive culture where everyone can thrive. Responsibilities As a Principal Applied Science Manager, you will: - Drive projects from design through implementation, experimentation, and shipping to users by deep diving into data, identifying gaps, creating models, and setting up infrastructure. - Manage a team of applied scientists, assign tasks, mentor them, and take responsibility for their growth and output. - Document progress, assist junior team members, and come up with evaluation techniques, datasets, and metrics for model evaluations. - Own the fine-tuning and use of language models, including dataset creation, filtering, review, and continuous iteration. You will work in a geographically distributed team environment where collaboration and innovation are key. Your work will directly impact the design, functionality, security, and scalability of Microsoft products using deep learning technology. Qualifications Required Qualifications: - Bachelor's, Master's, or Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field with relevant years of experience. - People management experience. - Industrial experience coding in C++, C#, C, Java, or Python. - Prior experience with data analysis, machine learning frameworks, and deep learning concepts. - Ability to communicate technical details clearly across teams. Preferred Qualifications: - Master's or Doctorate in related fields with additional years of experience. - People management experience. Join us at Microsoft and be part of a team that values collaboration, innovation, and continuous learning. Your contributions will shape the future of technology and empower users worldwide.,

As a Python Web Scraping & AI Engineer at ZANG - an AI-powered E-commerce Search Engine based in Mumbai, you will play a crucial role in revolutionizing the e-commerce landscape by contributing to the development of cutting-edge web scraping infrastructure and AI algorithms. ZANG is a dynamic startup that is focused on innovation, and we are seeking a skilled individual like you to enhance our search capabilities. Your primary responsibilities will include designing, building, and maintaining scalable web scraping solutions using Python to extract structured data from various e-commerce websites. You will be tasked with handling challenges such as CAPTCHA, rotating proxies, and anti-scraping techniques to ensure data integrity. Additionally, you will work on integrating machine learning models and algorithms into the search engine for recommendation, ranking, and personalization purposes. Collaboration with front-end and back-end developers will be essential to integrate scraped data and AI models into the user-facing product. You will be required to write clean, scalable, and well-documented code following best practices and provide regular updates on project milestones and deliverables. Furthermore, you will be responsible for designing and managing data storage systems and optimizing data pipelines for fast querying and retrieval by the search engine. To be successful in this role, you should have proficiency in Python and related libraries such as BeautifulSoup, Scrapy, Selenium, or similar tools. Experience in web scraping, familiarity with AI/ML libraries like TensorFlow, PyTorch, and knowledge of NLP techniques will be advantageous. Strong understanding of REST APIs, version control systems, and experience with Vector/NoSQL databases are also required qualifications. If you have a passion for working with cutting-edge AI and data scraping technologies, then this position offers you a competitive salary, stock options, and the opportunity to work in a fast-paced startup environment with significant growth potential. To apply for this exciting opportunity, please email your resume to amit@inventiway.in and we will schedule a time to discuss this position in detail.,

You should have hands-on experience working with Marketing Domain datasets and at least 2 years of applicable work experience in Machine Learning. With 5+ years of hands-on experience in Snowflake and 2+ years of experience on Generative AI projects, you should also possess proficiency with the Python Machine Learning stack, including Pandas, and knowledge of experimental design and analysis of results. Demonstrating experience in applying Machine Learning, both Deep Learning (PyTorch) and Classical ML (Scikit-Learn), is essential. Furthermore, you should have experience in leading Machine Learning teams to deploy and enhance ML features in production and collaborating in cross-functional teams to deliver ML solutions at scale. Familiarity with Large Language Models, particularly in interactive dialog systems and chatbots, as well as experience deploying NLP systems like Information Retrieval (IR) and Recommender Systems (RecSys) are crucial. Preferred qualifications include proficiency in SQL and experience with big data technologies such as Hive, Presto, Glue, (Py)Spark, or Athena. Advanced software engineering skills, including data structures and algorithms, are desired. Experience in data pipelines and model serving in AWS, as well as MLOps on AWS at scale, is an advantage. Familiarity with AWS Cloud Formation templates, Agile and SCRUM methodologies, and working with PowerBI to develop dashboards are considered positives. Additionally, analytical skills related to unstructured datasets, a successful track record of extracting value from large, disconnected datasets, and experience working with agile, globally distributed teams are beneficial.,

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 11+ years. Hands on working experience in data science with a focus on predictive modeling and optimization. Strong working experience with Data Science on GCP, Generative AI fundamentals. Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g. Azure, GCP and AWS). Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques. Familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering. Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 11+ years. Hands on working experience in data science with a focus on predictive modeling and optimization. Strong working experience with Data Science on GCP, Generative AI fundamentals. Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g. Azure, GCP). Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques. Familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering. Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.