156 Nlp Jobs in Hyderabad

As an AI / GenAI Retail Specialist Manager at S&C Global Network, you will be responsible for leading the development and implementation of artificial intelligence solutions across retail operations. Your role will require a strong blend of technical expertise, domain knowledge in the retail sector, and leadership capabilities to drive impactful AI and GenAI initiatives. Your expertise in AI will be crucial in developing cutting-edge solutions that enhance retail performance in areas such as merchandising, pricing, customer engagement, and product assortment. **Key Responsibilities:** - Utilize your deep understanding of the retail industry to design AI solutions addressing critical retail business needs. - Supervise teams in building, validating, and deploying ML/DL models using frameworks such as TensorFlow, PyTorch, and Hugging Face. - Develop and oversee the implementation of GenAI-powered tools. - Design, develop, and implement AI algorithms and generative models tailored to the retail sector. - Focus on creating AI models for various use cases like customer lifecycle, personalized customer experiences, pricing optimization, and product assortment. - Translate data insights into actionable strategies for marketing, merchandising, and customer experience teams. - Collaborate with cross-functional teams to understand retail business challenges and provide AI-driven solutions. - Communicate the potential of AI solutions to technical and non-technical stakeholders, ensuring alignment with business objectives. **Qualifications Required:** - Proven experience in supervised and unsupervised learning, deep learning, and generative AI models. - Expertise in machine learning, NLP, and generative AI models. - Hands-on experience with platforms like TensorFlow, PyTorch, and OpenAI technologies. - Knowledge of AI ethics and responsible AI practices. - Experience with cloud platforms and modern MLOps practices. The company, Accenture, is seeking a candidate with 6-10 years of relevant experience in data science, machine learning, or AI, with at least 2+ years in a leadership or managerial role. Educational qualifications include MSc. Statistics, B.Tech./M.Tech in Computer Science, Econometrics, or Data Science. Retail tech experience in e-commerce, fashion, grocery, or quick-commerce segments is preferred. Knowledge of ethical AI practices, responsible AI governance, and working with APIs of commercial LLMs is desirable.,

As a skilled and motivated Data Scientist with a strong background in backend development and AI/ML engineering, your role will involve developing and implementing machine learning models, collaborating with various teams to create scalable AI-driven solutions, and utilizing Python and object-oriented programming to build efficient ML pipelines. You will work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. Additionally, you will integrate AI/ML models into applications via RESTful APIs, manage containerized services using Docker, and follow best practices in version control and software development lifecycles. You will also contribute to microservices-based architectures for AI/ML systems and analyze large datasets to extract actionable insights. Key Responsibilities: - Develop and implement machine learning models, including advanced architectures like Large Language Models (LLMs). - Collaborate with various teams to create scalable AI-driven solutions using sound software engineering principles. - Utilize Python and object-oriented programming to build efficient, maintainable, and production-grade ML pipelines. - Work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. - Integrate AI/ML models into applications via RESTful APIs while ensuring performance, scalability, and reliability. - Use tools like Hugging Face, LangChain, and OpenAI APIs for NLP and generative AI model development. - Manage containerized services using Docker for seamless deployment and reproducibility of ML solutions. - Follow best practices in version control (Git) and software development lifecycles to support collaborative and agile workflows. - Develop and maintain relational databases (e.g., MySQL, PostgreSQL, Oracle) to support data-driven applications. - Contribute to microservices-based architectures for AI/ML systems. - Apply agent communication protocols and multi-agent system design in relevant AI applications. - Analyze large datasets, extract actionable insights, and continuously improve models. Qualifications Required: - Minimum 4 years of experience in data science, machine learning, or backend development. - Proficiency in Python and solid foundations in object-oriented programming. - Hands-on experience with the entire machine learning model lifecycle, from training to production deployment and monitoring. - Understanding of scalable system design and microservices architecture. - Strong problem-solving skills, attention to detail, and knowledge of data structures and algorithms. - Excellent communication and collaboration abilities, with a knack for working in a dynamic team setting.,

Role Overview: You will be joining as a Senior Data Scientist at Ray Business Technologies in Hyderabad. Your role will involve utilizing your expertise in Machine Learning, Deep Learning, statistical modeling, data analytics, and algorithmic problem-solving to deliver tailor-made solutions in areas like AI, ERP, CRM, Cloud, and BI services. With a focus on quality and excellence, you will be part of a skilled team of experts dedicated to helping organizations achieve growth and operational efficiency. Key Responsibilities: - Sound knowledge of Machine Learning, Deep Learning, statistical modeling, data analytics, and algorithmic problem-solving. - Ability to build from scratch in R & D. - Hands-on experience with components like DL, Transform model, LLM, NLP, Computer Vision, etc. - Implementation of Deep Learning techniques and Natural Language Processing (NLP) techniques. - Proficiency in OCR technology and inclination towards Mathematics/Statistics. - Familiarity with MS Excel skills, Reporting, object-oriented programming, and Python or R. - Good knowledge of Cloud Technology, specifically on the Azure cloud platform. Qualifications Required: - 4-8 years of experience in a data science or analytics role, with a proven track record of leveraging analytics for business impact. - Excellent communication skills to translate complex findings into actionable insights for non-technical stakeholders. - Strong knowledge of machine learning techniques and experience applying them to real-world problems. - Strong analytical and problem-solving skills with attention to detail. - Experience with cloud platforms like Azure and big data technologies such as Hadoop and Spark is a plus.,

As a Senior Data Engineer at Electronic Arts, you will be responsible for designing, building, and optimizing scalable data acquisition, transformation, and integration pipelines to meet evolving business requirements. Your key responsibilities will include: - Developing, maintaining, and automating ETL/ELT processes to extract, transform, and load data from diverse sources with high accuracy and timeliness. - Optimizing data integration systems for scalability, performance, and reliability as data volume and complexity increase. - Creating and maintaining logical and physical data models to ensure efficient data storage, retrieval, and integration across platforms. - Collaborating with cross-functional teams to define and implement data strategies aligned with enterprise architecture standards. - Ensuring data quality, consistency, and governance by implementing validation, lineage, and monitoring frameworks. - Analyzing complex data sets to design business intelligence, analytics, and integration solutions. - Translating business requirements into technical designs using modern data engineering tools and practices. - Developing and optimizing SQL queries, stored procedures, and automation scripts using SQL, Python, and/or JavaScript. - Leveraging APIs and Python-based automation to streamline data workflows and improve processing efficiency. - Applying prompt engineering and natural language processing (NLP) techniques to enable AI-driven data querying and insight generation. - Integrating machine learning models into data pipelines to support predictive and prescriptive analytics use cases. - Implementing data observability and monitoring solutions to proactively identify and resolve issues. - Following best practices for programming, documentation, version control, and CI/CD in data integration projects. - Developing and documenting data audit, archiving, and restoration procedures. - Reviewing and refining integration development efforts to ensure consistency, security, and adherence to best practices. Qualifications required for this role include: - Bachelor's or Master's degree in IT, Computer Science, or equivalent experience. - 7+ years of experience in data integration, data engineering, or related roles with a proven track record of delivering scalable data solutions. - 5+ years of hands-on experience designing and implementing ETL/ELT pipelines and data integration frameworks. - 2+ years of experience in data modeling (conceptual, logical, and physical). - Advanced proficiency in Snowflake, including its advanced features and utilities. - Strong understanding of data structures, database systems, and data warehousing principles. - Proficiency in Python for data automation, API integration, and scripting; experience with JavaScript is an added advantage. - Familiarity with cloud-based data ecosystems and modern orchestration tools. - Exposure to or interest in AI/ML integration within data pipelines and NLP-based querying for AI-driven data insights. About Electronic Arts: Electronic Arts creates next-level entertainment experiences for players and fans worldwide. The company values diversity, inclusion, and creativity, and offers opportunities for growth and development across its global locations. Electronic Arts emphasizes holistic benefits programs to support physical, emotional, financial, career, and community wellness for its employees.,

As a Python+AIML Developer (Data Scientist), your role will involve developing and implementing innovative AI and ML models to solve complex business problems. You will design and build scalable AI solutions using Python and relevant frameworks/libraries such as Flask API, Fast API, Pandas, Scikit Learn, PyTorch, Transformer, OpenAI, and Hugging face. Collaboration with cross-functional teams to understand business requirements and translating them into technical solutions will be a key responsibility. You will also be expected to conduct research and development to stay updated with the latest advancements in AI and ML, engage with clients to understand their needs and provide tailored AI solutions, lead and mentor junior team members, and ensure continuous learning and development to keep up with the fast-paced AI industry. Rapid prototyping and iteration on AI models and solutions to meet business needs will be essential. Key Responsibilities: - Develop and implement innovative AI and ML models to solve complex business problems. - Design and build scalable AI solutions using Python and relevant frameworks/libraries. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Conduct research and development to stay updated with the latest advancements in AI and ML. - Engage with clients to understand their needs and provide tailored AI solutions. - Lead and mentor junior team members, fostering a collaborative and innovative work environment. - Ensure continuous learning and development to keep up with the fast-paced AI industry. - Rapidly prototype and iterate on AI models and solutions to meet business needs. Key Skills And Qualifications: - Proficiency in Python. - Experience with cloud platforms such as AWS, Azure, or GCP for AI/ML/DS project development. - Good understanding of ML models, Deep Learning, NLP/CV, and Generative AI concepts. - Comfortable working in a fast-paced environment with rapid prototyping. - Experience with client engagement and leading teams is a plus. - Proven track record in building products/solutions using cutting-edge AI models and tools. - Ability to conduct quick R&D and continuously upscale and upskill. Additional Company Details: Not mentioned in the provided Job Description.,

Role Overview: As a Performance Steward at Sanofi Global Hub (SGH), your main responsibility will be to maintain the reporting ecosystem and ensure data quality and integrity. You will be creating, developing, and maintaining dashboards and performance metrics using Business Intelligence tools such as PowerBI, Smartsheet, Plai, ValueLens. Additionally, you will manage adhoc metric/KPI requests and external benchmarking reports. Your role will involve developing operational progress and performance metrics, managing tools for projects and business processes, and improving reporting activities to support decision-making across various departments. Key Responsibilities: - Maintain reporting ecosystem and ensure data quality and integrity - Create, develop, and maintain dashboards and performance metrics using Business Intelligence tools - Manage adhoc metric/KPI requests and external benchmarking reports - Develop and manage operational progress and performance metrics - Manage tools for projects and business processes - Strengthen reporting activities and support cross-functional departments - Develop dashboard specifications and manage UAT on delivered dashboards - Provide necessary tool training to stakeholders - Collaborate with stakeholders to improve data quality and standards Qualifications Required: - Experience in Pharmaceutical industry, R&D, or Business - Advanced problem-solving skills with predictive analytics - Flexible, open-minded, with excellent interpersonal and communication skills - Organizational and time-management abilities - Ability to build strong relationships within project teams and support functions - Willingness to work in a global and matrix organization - Ability to challenge the status quo and propose new ideas - Technical skills in Planisware, Agile method, PowerBI, Tableau, Power Platform - Proficiency in analytical technologies like Python, R, NLP - Understanding of Clinical Data management and integrity validation - In-depth knowledge of performance metrics - Master's degree - Proficiency in English (Note: The additional details about the company were not provided in the job description.),

As an AI Engineer with Python at Artmac Soft, your role involves utilizing your 0-1 year of experience in AI engineering with a focus on Python programming. You are expected to have knowledge of Cursor AI, Render, and CloudFlare, along with proficiency in Python libraries and frameworks like TensorFlow, PyTorch, sci-kit-learn, NumPy, and pandas. Your responsibilities include a strong understanding of machine learning algorithms and deep learning architectures, experience with cloud platforms (AWS, GCP, Azure), and containerization tools such as Docker and Kubernetes. You will be working on CI/CD pipelines, MLOps practices, NLP, computer vision, distributed computing, big data technologies, and version control systems like Git. Your tasks will involve real-time data processing, building, deploying, and optimizing AI/ML models, developing scalable data pipelines, and collaborating with cross-functional teams. To excel in this role, you are required to have a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Staying updated on the latest advancements in AI, machine learning, and deep learning is crucial. Additionally, you will be involved in developing APIs, conducting data preprocessing, feature engineering, exploratory data analysis, and documenting AI solutions and best practices. As an AI Engineer with Python at Artmac Soft, your role involves utilizing your 0-1 year of experience in AI engineering with a focus on Python programming. You are expected to have knowledge of Cursor AI, Render, and CloudFlare, along with proficiency in Python libraries and frameworks like TensorFlow, PyTorch, sci-kit-learn, NumPy, and pandas. Your responsibilities include a strong understanding of machine learning algorithms and deep learning architectures, experience with cloud platforms (AWS, GCP, Azure), and containerization tools such as Docker and Kubernetes. You will be working on CI/CD pipelines, MLOps practices, NLP, computer vision, distributed computing, big data technologies, and version control systems like Git. Your tasks will involve real-time data processing, building, deploying, and optimizing AI/ML models, developing scalable data pipelines, and collaborating with cross-functional teams. To excel in this role, you are required to have a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Staying updated on the latest advancements in AI, machine learning, and deep learning is crucial. Additionally, you will be involved in developing APIs, conducting data preprocessing, feature engineering, exploratory data analysis, and documenting AI solutions and best practices.

As a Technical Content Developer (TCD) at NxtWave, you will lead your technical pod in creating and refining industry-relevant content for students. Your role will involve developing engaging materials that enhance learning experiences, ensuring industry relevance, and driving continuous improvement. Collaborating with internal teams and Subject Matter Experts (SMEs) externally, you will manage technical content tracks, analyze industry trends, and deliver high-quality outcomes to improve learners' skills and employability. **Key Responsibilities:** - Lead a team of Associate technical content developers to ensure timely and high-quality content creation. - Develop high-quality, industry-relevant content on Deep Learning concepts, including neural networks, CNNs, RNNs, GANs, transformers, and other advanced topics. - Incorporate hands-on projects and real-world datasets to provide practical learning experiences. - Collaborate with SMEs to ensure technical accuracy and relevance of the content. - Design curriculum outlines, learning objectives, and roadmaps for comprehensive technical programs. - Stay updated with the latest industry trends to incorporate cutting-edge topics and technologies into the content. - Review and revise content regularly based on learner feedback and emerging educational strategies. - Act as a bridge between content development and product teams, driving feature development and design improvements to support immersive and practical learning experiences. - Monitor and report on the progress of content development to ensure alignment with organizational goals. **Qualifications Required:** - Minimum 1-4 years of experience in content development. - Strong understanding of neural networks, CNNs, RNNs, LSTMs, GANs, transformers, and other advanced architectures. - Expertise in Python and popular Deep Learning frameworks like TensorFlow, PyTorch, and Keras. - Hands-on experience building, training, and deploying Deep Learning Models. - Experience working with real-world datasets for image recognition, NLP, time series forecasting, and other domains. - Knowledge of pre-trained models and transfer learning techniques. Please note that the job is a full-time position located at NxtWave Office Spaces in Hyderabad. As a Technical Content Developer (TCD) at NxtWave, you will lead your technical pod in creating and refining industry-relevant content for students. Your role will involve developing engaging materials that enhance learning experiences, ensuring industry relevance, and driving continuous improvement. Collaborating with internal teams and Subject Matter Experts (SMEs) externally, you will manage technical content tracks, analyze industry trends, and deliver high-quality outcomes to improve learners' skills and employability. **Key Responsibilities:** - Lead a team of Associate technical content developers to ensure timely and high-quality content creation. - Develop high-quality, industry-relevant content on Deep Learning concepts, including neural networks, CNNs, RNNs, GANs, transformers, and other advanced topics. - Incorporate hands-on projects and real-world datasets to provide practical learning experiences. - Collaborate with SMEs to ensure technical accuracy and relevance of the content. - Design curriculum outlines, learning objectives, and roadmaps for comprehensive technical programs. - Stay updated with the latest industry trends to incorporate cutting-edge topics and technologies into the content. - Review and revise content regularly based on learner feedback and emerging educational strategies. - Act as a bridge between content development and product teams, driving feature development and design improvements to support immersive and practical learning experiences. - Monitor and report on the progress of content development to ensure alignment with organizational goals. **Qualifications Required:** - Minimum 1-4 years of experience in content development. - Strong understanding of neural networks, CNNs, RNNs, LSTMs, GANs, transformers, and other advanced architectures. - Expertise in Python and popular Deep Learning frameworks like TensorFlow, PyTorch, and Keras. - Hands-on experience building, training, and deploying Deep Learning Models. - Experience working with real-world datasets for image recognition, NLP, time series forecasting, and other domains. - Knowledge of pre-trained models and transfer learning techniques. Please note that the job is a full-time position located at NxtWave Office Spaces in Hyderabad.

As a Python Developer specializing in AI/ML and cloud technologies, you will play a crucial role in designing, building, and deploying Python solutions for automation, data transformation, and decision-making processes within the organization. Your expertise will be instrumental in contributing to AI/ML projects such as document processing, natural language processing (NLP), and intelligent classification. Key Responsibilities: - Design, build, and deploy Python solutions supporting automation, data transformation, and decisioning processes. - Contribute to AI/ML projects involving document processing, NLP, and intelligent classification. - Integrate Python tools with platforms like UiPath, Snowflake, Power BI, and Sigma. - Utilize AI/ML frameworks such as scikit-learn, TensorFlow, and spaCy. - Demonstrate a strong understanding of intelligent document processing, OCR, NLP, and AI-driven decision systems. - Proficient in integrating with APIs, data platforms like Snowflake, and automation orchestrators such as UiPath. Qualifications Required: - Hands-on experience with AI/ML frameworks like scikit-learn, TensorFlow, and spaCy. - Proficiency in integrating Python tools with various platforms and services. - Strong understanding of intelligent document processing, OCR, NLP, and AI-driven decision systems. - Experience in API integration, data platforms like Snowflake, and automation orchestrators. - Exposure to cloud platforms such as AWS and Azure, particularly for model deployment and serverless Python execution. If you meet the above qualifications and are excited about working with cutting-edge technologies in a dynamic environment, we encourage you to apply for this role. As a Python Developer specializing in AI/ML and cloud technologies, you will play a crucial role in designing, building, and deploying Python solutions for automation, data transformation, and decision-making processes within the organization. Your expertise will be instrumental in contributing to AI/ML projects such as document processing, natural language processing (NLP), and intelligent classification. Key Responsibilities: - Design, build, and deploy Python solutions supporting automation, data transformation, and decisioning processes. - Contribute to AI/ML projects involving document processing, NLP, and intelligent classification. - Integrate Python tools with platforms like UiPath, Snowflake, Power BI, and Sigma. - Utilize AI/ML frameworks such as scikit-learn, TensorFlow, and spaCy. - Demonstrate a strong understanding of intelligent document processing, OCR, NLP, and AI-driven decision systems. - Proficient in integrating with APIs, data platforms like Snowflake, and automation orchestrators such as UiPath. Qualifications Required: - Hands-on experience with AI/ML frameworks like scikit-learn, TensorFlow, and spaCy. - Proficiency in integrating Python tools with various platforms and services. - Strong understanding of intelligent document processing, OCR, NLP, and AI-driven decision systems. - Experience in API integration, data platforms like Snowflake, and automation orchestrators. - Exposure to cloud platforms such as AWS and Azure, particularly for model deployment and serverless Python execution. If you meet the above qualifications and are excited about working with cutting-edge technologies in a dynamic environment, we encourage you to apply for this role.

As an AI Practitioner Industrial Relations at People Tech Group, you will play a key role in designing, deploying, and managing AI-driven systems to enhance employee relations, labor compliance, workforce insights, and organizational decision-making. Your responsibilities will include: - Developing and executing an AI roadmap customized for Industrial Relations and workforce governance. - Implementing predictive models to forecast grievances, attrition, engagement drops, labor risks, and compliance gaps. - Building AI-driven dashboards for real-time insights on workforce sentiment, employee pulse, and escalations. - Using NLP, computer vision, and ML models to analyze employee feedback, grievance logs, performance reports, and workplace communications. - Identifying root causes of conflicts, recurring issues, and risk-prone business units. - Providing data-backed recommendations during union discussions, audits, investigations, and policy revisions. - Building systems to track and automate statutory compliance. - Ensuring data integrity, ethical AI usage, and responsible automation. - Integrating AI tools into HRMS, LMS, and workforce management systems. - Developing early warning systems for workplace conflicts and dissatisfaction. - Deploying GenAI assistants to guide HR teams on IR processes and statutory actions. - Enabling automated case triaging and resolution workflows. - Working with HR, IR, Legal, and Business Leaders to institutionalize AI-driven decisions. - Training HR and IR teams on AI tools and analytics interpretation. - Supporting leadership during negotiations, audits, and restructuring. Qualifications Required: - Bachelors/Masters in HR, IR, Data Science, CS, or related fields. - 5-12 years of experience in AI/ML, People Analytics, HR Tech, or Industrial Relations. - Experience with Python, NLP, MLflow, Power BI/Tableau, or HR analytics tools. - Understanding of grievance mechanisms, disciplinary actions, and labor laws. Preferred Qualifications: - Experience applying AI/ML in HR or IR functions. - Exposure to union negotiations and compliance management. - Experience implementing GenAI chatbots or HR automation. - HR Analytics or AI certifications. Join People Tech Group to drive an intelligent, ethical, and resilient workforce ecosystem through AI.,

You are a dynamic professional with a strong blend of AI/ML development (70%) and Data Science expertise (30%) or vice versa. Your role involves designing and deploying intelligent solutions, building predictive models, and managing large-scale data workflows. You thrive in innovation-driven environments and want to contribute to cutting-edge AI initiatives. - Design, develop, and deploy machine learning models and AI solutions for real-world applications. - Build and optimize data pipelines to support AI/ML workflows and ensure seamless integration with existing systems. - Work on emerging AI technologies such as Generative AI and Agentic AI for advanced use cases. - Collect, clean, and preprocess large datasets; perform statistical analysis and create dashboards to derive actionable insights. - Partner with engineers, data scientists, and product teams to deliver scalable AI-driven solutions. - Fine-tune models for accuracy, efficiency, and scalability in production environments. You should have: - Minimum 3 years of experience in AI/ML development with exposure to data engineering concepts. - Proficiency in Python or R; Deep knowledge of SQL and data manipulation. - Hands-on experience with TensorFlow, PyTorch, or similar AI/ML Frameworks. - Strong skills in managing large datasets and building ETL pipelines. - Familiarity with AWS, GCP, or Azure for AI/ML deployments. - Experience in developing REST APIs for model integration. - Analytical mindset, problem-solving skills, and ability to work in agile environments. Preferred skills include exposure to Generative AI, Agentic AI, NLP, or Deep Learning, experience with Big Data technologies like Hadoop and Spark, and understanding of MLOps and deployment of models in production.,

As a Python Developer with expertise in AI/ML and AWS/Azure, you will be responsible for designing, building, and deploying Python solutions to support automation, data transformation, and decisioning processes within the organization. Your key responsibilities will include: - Designing, building, and deploying Python solutions that enable automation, data transformation, and decision-making processes across the organization. - Contributing to AI/ML projects such as document processing, natural language processing (NLP), and intelligent classification. - Integrating Python tools with platforms like UiPath, Snowflake, Power BI, and Sigma. - Working hands-on with AI/ML frameworks such as scikit-learn, TensorFlow, and spaCy. - Demonstrating a strong understanding of intelligent document processing, optical character recognition (OCR), NLP, and AI-driven decision systems. - Proficiency in integrating with APIs, data platforms like Snowflake, and automation orchestrators such as UiPath. Qualifications required for this role include: - Hands-on exposure to AI/ML frameworks like scikit-learn, TensorFlow, and spaCy. - Strong understanding of intelligent document processing, OCR, NLP, and AI-driven decision systems. - Proficiency in integrating with APIs, data platforms like Snowflake, and automation orchestrators like UiPath. - Exposure to cloud platforms, particularly AWS or Azure, for model deployment or serverless Python execution (e.g., Lambda for AWS or Azure Functions for Azure). Please note that the job location is Bangalore/Chennai/Hyderabad/Pune, the level is SA/M, and the work model is hybrid. The shift timings are in the US shift.,

You will be joining a dynamic team in Hyderabad, Telangana as a Mid-Level Machine Learning Engineer or a Junior Machine Learning Engineer. As a Mid-Level Machine Learning Engineer, your responsibilities will include leading the design, implementation, and maintenance of machine learning models, with a focus on NLP and LLMs for legal applications. You will also be enhancing model training processes, data pipelines, and performance optimization for scalability. Collaboration with front-end developers to integrate AI functionalities into our React UI for a seamless user experience is a key aspect of your role. Additionally, you will be conducting rigorous testing and performance evaluations to drive continuous improvement. As a Junior Machine Learning Engineer, you will support the development and maintenance of machine learning models and data processing tasks. Your role will involve assisting in integrating AI technologies into our React-based front-end, under the guidance of senior engineers. Participation in ongoing learning and team collaboration will ensure you stay updated with the latest trends in AI research and development. Qualifications for Mid-Level Engineer: - Bachelor's or Master's in Computer Science, AI, Machine Learning (ML), or related field. - Strong understanding of ML and neural network(NN) concepts. Capable of training, validating, and testing NN models. - Proficiency in Python, ML frameworks (e.g., Tensor Flow, PyTorch), and ML ops. Qualifications for Junior Engineer: - Bachelor's degree in a relevant field. - 1+ year of machine learning experience or related internships. - Basic knowledge of Python and machine learning frameworks. - Interest in learning and contributing to React UI development. General Qualifications: - Strong analytical, problem-solving, and communication skills. - Ability to work effectively in a fast-paced, collaborative environment. - Passion for innovation and continuous learning in AI and legal tech.,

As a Senior Data Scientist with Deep Learning experience, your role will involve designing, building, and deploying advanced machine learning models for real-world applications. You will collaborate with research, product, and engineering teams to deliver impactful AI-driven solutions. Your expertise in Deep Learning, NLP, and traditional ML will be essential in the following key responsibilities: - Design, develop, test, and deploy machine learning and deep learning models using state-of-the-art algorithms. - Develop state-of-the-art deep learning models for audio projects. - Research and experiment with deep learning architectures (CNNs, RNNs, LSTMs, Transformers, etc.) for structured and unstructured data. - Work on end-to-end AI/ML solutions including data acquisition, feature engineering, model development, and deployment. - Build and improve reusable model pipelines, frameworks, and data processing tools. - Define and enforce best practices for Machine Learning and MLOps, including model versioning, testing, and deployment. - Collaborate closely with product managers and business stakeholders to translate data-driven insights into actionable strategies. - Mentor junior team members and promote knowledge sharing across teams. Qualifications required for this role include: - Experience: 5-8 years in Data Science or Machine Learning with hands-on deep learning expertise. - Strong knowledge of machine learning algorithms, optimization techniques, and statistical modeling. - Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras. - Strong understanding of neural networks, CNNs, LSTMs, transformers, and other deep learning architectures. - Experience using Python and ML/NLP libraries such as SpaCy, NLTK, Gensim, CoreNLP, and OpenNLP. - Familiarity with data preprocessing techniques and tools for audio data. - MLOps & Deployment: Familiarity with Flask/FastAPI, Docker, and cloud environments (AWS, GCP, or Azure) for deploying models. - Data & Visualization: Proficient with Pandas, NumPy, Scikit-learn, and visualization tools such as Matplotlib or Plotly. - Soft Skills: Excellent communication and storytelling skills with the ability to present complex results clearly. Proven ability to work collaboratively in cross-functional teams. Strong problem-solving skills and initiative in driving innovation.,

As a Technical Content Developer at NxtWave, you will be leading your technical pod to create and refine industry-relevant content for students. Your role will involve developing engaging materials that enhance learning experiences, ensuring industry relevance, and driving continuous improvement. Collaboration with internal teams and Subject Matter Experts (SMEs) externally will be key to managing technical content tracks, analyzing industry trends, and delivering high-quality outcomes that enhance learners" skills and employability. **Key Responsibilities:** - Lead a team of Associate technical content developers to ensure timely and high-quality content creation. - Develop high-quality, industry-relevant content on Deep Learning concepts such as neural networks, CNNs, RNNs, GANs, transformers, and other advanced topics. - Incorporate hands-on projects and real-world datasets to provide practical learning experiences. - Understand how to develop content to meet various learner needs and styles. - Collaborate with SMEs to ensure technical accuracy and relevance of the content. - Design curriculum outlines, learning objectives, and roadmaps for comprehensive technical programs. - Stay updated with the latest industry trends to incorporate cutting-edge topics and technologies into the content. - Review and revise content regularly based on learner feedback and emerging educational strategies. - Act as a bridge between content development and product teams, driving feature development and design improvements to support immersive and practical learning experiences. - Monitor and report on the progress of content development to ensure alignment with organizational goals. **Qualifications Required:** - Minimum 1-4 years of experience in content development. - Strong understanding of neural networks, CNNs, RNNs, LSTMs, GANs, transformers, and other advanced architectures. - Expertise in Python and popular Deep Learning frameworks like TensorFlow, PyTorch, and Keras. - Hands-on experience building, training, and deploying Deep Learning Models. - Experience working with real-world datasets for image recognition, NLP, time series forecasting, and other domains. - Knowledge of pre-trained models and transfer learning techniques. You will be located at NxtWave Office Spaces in Hyderabad and the job type is Full-Time.,

Join Qualcomms Multimedia Systems Group as a Voice AI Systems Engineer, driving innovation in on-device AI for next-generation multimedia technologies. You will focus on R&D and implementation of Voice AI systems, with special emphasis on always on AI that support Agentic AI use cases. Your work will enable system design, development and evaluation of Agentic AI, ASR, TTS, and multilingual translation, powering intelligent voice-driven experiences. - Implementation and R&D of Voice AI systems, focusing on HW AI acceleration for efficient on-device intelligence. - Develop, train, and optimize Voice AI models (ASR, TTS, NLP, Translation, Summarization, Language Modeling) for deployment on embedded hardware (NPU, GPU, CPU). - Design and prototype systems supporting Agentic AI, enabling continuous, context-aware voice and data capture. - Conduct evaluation and testing for Agentic AI features, including ASR, TTS, and translation notebook workflows. - Perform competitive analysis and benchmarking of open-source and proprietary model variants, focusing on system-level integration and performance. - Collaborate with cross-functional R&D and Systems teams for use case validation, efficient hardware offload, and commercialization support. - Develop automated test suites and evaluation pipelines for Agentic AI, ASR, TTS, and translation notebook. - Document system architecture, implementation strategies, and evaluation results for internal and external stakeholders. - Strong programming skills in C/C++, Python. - Experience with ML inference optimizations and deployment on embedded platforms. - Knowledge of fixed-point programming. - Proficiency in designing, implementing, and training deep learning models using frameworks such as PyTorch, TensorFlow, ONNX. - Knowledge of ML architectures (Transformers, LSTM, GRU) and recent trends (diffusion models, U-Nets, BERT, BART). - Experience with ASR, TTS, NLP, and multilingual translation applications. - Familiarity with model quantization, compression, and hardware acceleration techniques. - Expertise in developing and debugging software for embedded systems and AI hardware accelerators (NPU, GPU). - Experience with system-level evaluation, automated testing, and benchmarking for voice AI features. - Knowledge of computer architecture, operating systems, data structures, and multi-threaded programming (POSIX, PTHREADS). - Excellent communication, presentation, and teamwork skills; ability to work independently and across global teams. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.,

Role Overview: You will be responsible for utilizing your strong hands-on expertise in Python and scripting to develop data solutions. You will focus on MLOps and big data solutions, working on cloud platforms such as AWS and designing end-to-end projects. Additionally, you will be involved in ETL pipeline design, orchestration, and optimization, and utilize containerization technologies like Docker and Kubernetes for data solutions. Your familiarity with data governance, data quality standards, and workflow management will be crucial in this role, as well as your passion for innovation and applying cutting-edge technologies in ambiguous environments. Key Responsibilities: - Utilize Python and scripting for data solutions - Focus on MLOps and big data solutions - Design end-to-end projects on cloud platforms, preferably AWS - Develop ETL pipeline design, orchestration, and optimization - Implement containerization technologies like Docker and Kubernetes for data solutions - Ensure data governance, data quality standards, and workflow management - Drive innovation and apply cutting-edge technologies in ambiguous environments Qualifications: - Bachelors or Masters degree in Computer Science, Data Engineering, Information Technology, or related field - 10+ years of experience in data engineering, architecture, and cloud-based solutions - Strong analytical, problem-solving, and stakeholder management skills - Excellent collaboration and communication skills,

As a Technical Content Developer (TCD) at NxtWave, you will lead your technical pod in creating and refining industry-relevant content for students. Your role will involve developing engaging materials to enhance learning experiences, ensuring industry relevance, and driving continuous improvement. Collaboration with internal teams and Subject Matter Experts (SMEs) externally will be essential to manage technical content tracks, analyze industry trends, and deliver high-quality outcomes that enhance learners" skills and employability. **Key Responsibilities:** - Lead a team of Associate technical content developers to ensure timely and high-quality content creation - Develop high-quality, industry-relevant content on Deep Learning concepts such as neural networks, CNNs, RNNs, GANs, transformers, and other advanced topics - Incorporate hands-on projects and real-world datasets for practical learning experiences - Understand and cater to various learner needs and styles through content development - Collaborate with SMEs to ensure technical accuracy and relevance of the content - Design curriculum outlines, learning objectives, and roadmaps for comprehensive technical programs - Stay updated with industry trends to include cutting-edge topics and technologies in the content - Regularly review and revise content based on learner feedback and emerging educational strategies - Act as a liaison between content development and product teams, driving feature development and design improvements for immersive learning experiences - Monitor and report on content development progress to ensure alignment with organizational goals **Qualifications Required:** - Minimum 1-4 years of experience in content development - Strong understanding of neural networks, CNNs, RNNs, LSTMs, GANs, transformers, and other advanced architectures - Expertise in Python and popular Deep Learning frameworks like TensorFlow, PyTorch, and Keras - Hands-on experience in building, training, and deploying Deep Learning Models - Experience with real-world datasets for image recognition, NLP, time series forecasting, and other domains - Knowledge of pre-trained models and transfer learning techniques Location: NxtWave Office Spaces in Hyderabad Job Type: Full-Time,

As a Mid-Level Machine Learning Engineer at our company, your primary responsibility will be to lead the design, implementation, and maintenance of machine learning models, focusing specifically on Natural Language Processing (NLP) and Large Language Models (LLMs) for legal applications. Your role will entail enhancing model training processes, optimizing data pipelines, and ensuring performance scalability. Collaboration with front-end developers to integrate AI functionalities into our React UI for a seamless user experience will also be a crucial part of your daily tasks. Rigorous testing and performance evaluations are key components of your responsibilities. Qualifications required for this position include holding a Bachelor's or Master's degree in Computer Science, Artificial Intelligence (AI), Machine Learning (ML), or a related field. It is essential to have a strong understanding of ML and neural network (NN) concepts, along with the ability to train, validate, and test NN models. Proficiency in Python, ML frameworks (such as Tensor Flow, PyTorch), and ML ops is also a prerequisite. Join our team and play a significant role in developing custom Large Language Models (LLMs) for legal research applications. Contribute to our innovative project's AI backend and React-based frontend and be a vital part of our company's growth and success.,

As a Business Process Analyst at our company, you will play a crucial role in designing and maintaining analytics frameworks for business processes and financial workflows. Your responsibilities will include developing dashboards and reports to offer real-time insights into key business metrics. You will also analyze user interaction patterns with AI features to enhance adoption and effectiveness. Managing ETL pipelines to ensure data quality and accessibility, as well as generating actionable insights from complex financial datasets to inform product strategy will be part of your daily tasks. Key Responsibilities: - Designing and maintaining analytics frameworks for business processes and financial workflows - Developing dashboards and reports for real-time insights into key business metrics - Analyzing user interaction patterns with AI features for enhanced adoption and effectiveness - Managing ETL pipelines to ensure data quality and accessibility - Generating actionable insights from complex financial datasets to inform product strategy In terms of AI Platform Analysis, you will be responsible for developing and implementing frameworks to evaluate the performance of LLM-based systems and AI agents. This involves analyzing AI model outputs, response quality, and automation effectiveness. You will also track and report on key AI performance metrics such as accuracy, latency, and automation rates. Collaborating with ML engineers to identify areas for model improvements based on data insights and creating dashboards for monitoring AI system performance and reliability will also be part of your duties. Additionally, conducting A/B testing of different AI configurations and prompt strategies is essential. Key Responsibilities: - Developing and implementing frameworks to evaluate the performance of LLM-based systems and AI agents - Analyzing AI model outputs, response quality, and automation effectiveness - Tracking and reporting on key AI performance metrics such as accuracy, latency, and automation rates - Collaborating with ML engineers to identify areas for model improvements - Creating dashboards for monitoring AI system performance and reliability - Conducting A/B testing of different AI configurations and prompt strategies In terms of the Strategic Impact aspect of the role, you will provide data-driven recommendations for enhancing both AI capabilities and business processes. Partnering with product teams to define and track success metrics for AI features and collaborating with customer success teams to analyze user feedback and AI system effectiveness will be essential. Building and maintaining documentation for AI performance metrics and analytics processes is another key responsibility. Key Responsibilities: - Providing data-driven recommendations for enhancing AI capabilities and business processes - Partnering with product teams to define and track success metrics for AI features - Collaborating with customer success teams to analyze user feedback and AI system effectiveness - Building and maintaining documentation for AI performance metrics and analytics processes Qualifications Required: - 5+ years of experience in data analysis, with recent exposure to AI/ML systems - Proficiency in SQL and Python for data manipulation and analysis - Experience analyzing AI/ML system performance and metrics - Expertise in business intelligence tools (e.g., Tableau, Power BI, Looker) - Familiarity with large-scale financial datasets and ETL processes - Strong statistical analysis skills and experience with A/B testing - Experience with cloud-based data warehouses, preferably Snowflake - Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field Preferred Qualifications: - Experience analyzing LLM-based systems and generative AI applications - Knowledge of NLP metrics and evaluation frameworks - Experience with financial systems and processes (AP, AR, Vendor Management) - Familiarity with prompt engineering and LLM performance optimization - Experience with real-time analytics and streaming data - Understanding of data privacy and compliance requirements in finance - Master's degree in a related field Technical Skills Required: - Data Analysis & Visualization: Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly, Dash), SQL, Tableau/Power BI/QuickSight, Excel - AI/ML Analytics: LLM evaluation metrics, AI monitoring frameworks, Prompt effectiveness analysis - Data Infrastructure: Snowflake or similar data warehouses, AWS/Azure data services, ETL tools and frameworks, Data modeling - Statistics & Testing: Statistical analysis, A/B testing, Hypothesis testing, Experimental design This role requires a candidate with expertise in data analysis, AI/ML systems, and a strong technical skill set in various tools and frameworks related to data analysis and AI analytics. Please let me know if you need any further information or clarification.,