1435 Deep Learning Jobs - Page 39

Postdoctoral Research Fellowship AI in Power and Energy Systems @ Coimbatore Postdoctoral Research Fellowship AI in Power and Energy Systems @ Coimbatore - Amrita Vishwa Vidyapeetham Postdoctoral Research Fellowship AI in Power and Energy Systems @ Coimbatore Postdoctoral Research Fellowship AI in Power and Energy Systems @ Coimbatore Amrita School of Artificial Intelligence, Coimbatore, is inviting applications for a Postdoctoral Research Fellow to work on AI and Machine Learning applications in Power and Energy Systems. For details contact : s_rahul1@cb. amrita. edu Postdoctoral Research Fellowship AI in Power and Energy Systems Qualification Ph. D. in Electrical Engineering, Artificial Intelligence, Computer Science, or related fields. Strong background in machine learning, deep learning, or data-driven modeling. Solid understanding of power systems, smart grids, or energy infrastructure. Proficiency in MATLAB and Python, including popular ML libraries (TensorFlow, PyTorch, Scikit-learn). Strong communication and scientific writing skills. Job description The Postdoctoral Research Fellow will be part of a dynamic research team working at the intersection of machine learning, power and energy systems, and sustainable technology. The focus will be on applying data-driven methods to solve real-world challenges in smart grids, renewable integration, electric vehicles, and energy resilience. Last date to apply 31 July 2025 For details contact s_rahul1@cb. amrita. edu Thank You for contacting us! Well be in touch shortly. Add File or drop files here Upto 500kb | doc, docx & PDF format only Extra curricular activities To confirm your request , please check the box to let us know you are human

An AI Engineer designs, develops, and implements artificial intelligence systems and applications that can simulate human intelligence processes through the creation and validation of algorithms, neural networks, and other machine learning techniques

Overview As an AI/ML/DS Engineer, you will work on developing, implementing, and optimizing AI/ML models and data-driven solutions. You will collaborate with cross-functional teams to build scalable and efficient AI-based applications. Responsibilities Design, develop, and deploy machine learning models and data science solutions. Work with large datasets, preprocess and analyze data for insights. Implement and optimize deep learning and statistical models. Collaborate with software engineers and data engineers to integrate models into production systems. Stay updated with the latest trends and advancements in AI/ML and Data Science. Qualifications Final year students or recent graduates in Computer Science, Data Science, AI, Mathematics, or related fields. Strong programming skills in Python, R, or Java. Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-Learn. Proficiency in SQL and working with databases. Good understanding of data structures, algorithms, and statistics. Strong problem-solving skills and analytical mindset. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Job description Job title: Consultant - Data Scientist- Computer Vision Location: Bangalore (Hybrid) Years of Experience: 5+ Preferred - Immediate Joiners Primary Skills: Computer Vision (YOLO, PaddleOCR, Video/Image Analytics, number plate identification, parking spot detection, detecting speed of vehicles from videos) Secondary Skills: Neural Networks, Computer Vision, Deep Learning Key Responsibilities: AI/ML Model Development & Optimization Design, develop, and train deep learning models, including CNNs, RNNs, Transformers, and hybrid models for audio-video data fusion. Optimize models for performance, including reducing inference times and memory footprint for deployment on resource-constrained devices. Data Collection & Preprocessing Collect, preprocess, and augment large-scale datasets, particularly for audio and video, ensuring high-quality input for model training. Implement data fusion techniques to combine multimodal data sources (audio, video) to create richer, more accurate models. Edge Computing & Deployment Deploy AI/ML models onto edge devices such as Raspberry Pi, NVIDIA Jetson, or Intel Movidius, ensuring real-time, efficient operation. Perform hardware-aware optimizations like quantization, pruning, and model compression to enable efficient edge deployment. Real-time AI Applications Develop real-time AI applications using computer vision and deep learning techniques for tasks such as object detection, gesture recognition, and video analysis. Ensure high accuracy and low latency for real-time performance, both in cloud and on-device environments. Collaboration with Cross-Functional Teams Collaborate with software engineers, hardware engineers, and data scientists to integrate AI models into embedded systems, ensuring smooth deployment and functionality on edge devices. Work closely with product teams to translate business requirements into AI solutions, ensuring the models meet end-user needs. Model Evaluation & Monitoring Evaluate the performance of deployed models using standard metrics (accuracy, precision, recall, F1 score) and real-world feedback to improve model performance over time. Continuously monitor and troubleshoot models post-deployment to ensure optimal performance and scalability. Research & Innovation Stay up-to-date with the latest advancements in AI/ML, computer vision, and edge computing, and explore new techniques to improve the efficiency and effectiveness of models. Experiment with novel architectures, including fusion models and multi-task learning, to solve complex problems in multimodal environments.

Position Overview: The Provider Technology Shared Services Engineering team is seeking an Software Engineer Lead Analyst for a Band 3 Contributor Career Track position. The Software Engineer Lead Analyst will play a critical role in system development within the broader Provider Technology Solutions and Engineering organization, significantly influencing Operations and Technology Product Management. This position will provide expertise in the engineering, design, installation and startup of automated systems, including a self-service onboarding kit that enables users to begin utilizing the solution within minutes. The solutions developed will be accessible to individuals with minimal technical skills and will require no additional coding, ensuring zero maintenance is needed. As a member of our team, you will operate within a high-performance, high-frequency enterprise technology environment. This role entails collaborating closely with IT management and staff to identify automated solutions that leverage existing resources with tailored configurations for each use case. The objective is to minimize redundancy in solutions while promoting an enterprise mindset focused on reusability and maintaining high standards, ultimately ensuring minimal future maintenance requirements. The Software Engineer Lead Analyst demonstrates significant creativity, foresight, and sound judgment in the conception, planning, and execution of initiatives. This role requires extensive professional knowledge and expertise to effectively advise functional leaders. Additionally, the Lead Analyst stays informed about the latest advancements in technology, including AI and machine learning, to enhance both existing and new automation solutions. These solutions are designed to optimize production costs while facilitating the addition or updating of features aimed at improving the overall software development lifecycle experiences. Responsibilities: Provide comprehensive consultation to business unit and IT management, as well as personnel, regarding all facets of application development, testing and automation solutions across diverse development, financial, operational, and computing environments. Offers leadership and strategic vision in architectural design and AI/ML guidance for the team. Perform comprehensive research to identify and recommend the most efficient, cost-effective, and scalable AI/ML automation solutions applicable throughout the Software Development Life Cycle (SDLC). This includes areas such as test data generation, code generation, test case generation, test script generation, root cause analysis, predictive analysis, etc., with the aim of enhancing the overall SDLC from development to production support. Ensures that engineering solutions are aligned with the overall Technology strategy while addressing all application requirements. Demonstrate industry-leading technical abilities that enhance product quality and optimize day-to-day operations. Understand how changes impact work upstream and downstream including various back-end and front-end architectural modules. Enhance personnel effectiveness using heat matrices to prioritize Quality and Development Engineering resources on high-impact interfaces while identifying areas of lesser focus. Proactively monitor and manage the design of supported automation solutions, ensuring scalability, stability, flexibility, simplicity, performance, availability, security, and capacity. Develop and implement automation solutions to improve engineering and operational efficiency. Troubleshoot and optimize automated solutions and related artifacts to ensure seamless execution in CI/CD pipelines and on local machines, minimizing software and package dependencies or conflicts to reduce cycle time. Execute on a strategy to hand over the automation solutions to every Agile teams for adoption and use within their areas of focus, requiring zero maintenance and minimal effort for any enhancements without delving into coding. Encouraging and building automated processes wherever possible. Recognized internally as a subject matter expert. Required Skills: Foundations in Machine Learning and Deep Learning: Understanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like TensorFlow, PyTorch, and Keras. Generative Models: Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. Natural Language Processing (NLP): Knowledge in NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers) for text generation tasks. Model Deployment: Experience with deploying models using services like TensorFlow Serving, TorchServe, or cloud-based solutions (e.g., AWS SageMaker, Google AI Platform). Basic understanding of implementing Prompt Engineering, Finetuning and RAG. Strong foundation and practical experience in programming languages, especially Python, within the context of AI/ML workflows, crucial for transitioning from traditional software development processes to optimized and innovative solutions that enhance market agility. Containerization and Orchestration: Experience with Docker and Kubernetes / OpenShift for containerization and orchestration of applications. CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices. Security Best Practices: understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security. Cloud Services: Familiarity with cloud platforms like AWS / Google Cloud / Azure for deploying and managing applications and AI models. Required Experience & Education: A Bachelor's degree in Computer Science or a related field is required. A minimum of 5 years of experience in Software Development, including 3 years of professional experience in AI and Machine Learning engineering. At least 3 years of experience in Agile methodologies is required. Familiarity with an onshore/offshore operational model is essential. Demonstrated experience in the architecture, design and development of large-scale enterprise application solutions is required. Desired Experience: Proficient in AI / ML practices and automation techniques. Experienced in programming languages and scripting, including Python, Shell, Bash, Groovy, Ansible and Docker. Providing coaching and guidance to team members. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)

We are looking for an innovative AI/ML Developer to join our team and contribute to building intelligent systems and data-driven products. The ideal candidate will have experience designing machine learning models, working with large datasets, and deploying algorithms into scalable production environments. You will collaborate with cross-functional teams to transform data into actionable insights and intelligent solutions that drive business impact. Key Responsibilities: Design and develop machine learning and deep learning models. Preprocess and analyze large datasets for feature engineering and model training. Train, validate, and fine-tune models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Deploy models into production using REST APIs, containers, or MLOps tools. Monitor model performance and retrain as needed based on feedback or drift. Collaborate with data engineers and product managers to integrate ML into applications.

Location: Bangalore Job Type: Contract Position overview: We are seeking a Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services. Detailed job description & Key Responsibilities: Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders. Skills: Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge Python, SQL and commonly used frameworks & tools PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding

This role includes the following responsibilities and requirements: Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for machine learning. This includes distributed systems for data management and computation as well as web-oriented APIs and user interfaces. Take pride and ownership in delivering delightful user experiences Lead other engineers and demonstrate best practices for software engineering Support and mentor junior engineers. Location - Remote.

Dear Candidate Greetings from A2Z HR Consultants !!!!!!!! We are hiring for one of the renowned Web Software company based in Noida Number of working days: 5 Shift Timings: Day Shifts Salary: upto 32 LPA Profile: AI/ ML Engineer Experience Required: Min 5 Years **** Work from Office only Job Summary: Join our forward-thinking team to pioneer cutting-edge AI solutions that transform industries. We seek an AI Expert with 5+ years of experience in Python, machine learning, and large language models (LLMs), paired with robust MLOps expertise. You will architect, optimize, and deploy scalable AI systems, focusing on LLM fine-tuning (e.g., Llama, GPT, Mistral), Retrieval-Augmented Generation (RAG), and production-grade deployment on AWS . If you thrive on solving complex challenges, driving ethical AI innovation, and leading cross-functional teams, this role is for you. Key Responsibilities: Design, develop, and deploy AI/ML models using Python and relevant frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Optimize and fine-tune machine learning algorithms for performance, scalability, and accuracy. Work with large datasets to extract insights, preprocess data, and build predictive models. Develop and integrate AI-powered solutions into applications, including natural language processing (NLP), computer vision, and deep learning systems. Architect, fine-tune, and deploy large language models (LLMs) for various use cases such as chatbots, text generation, summarization, and document understanding. Implement retrieval-augmented generation (RAG) techniques to enhance LLM capabilities. Research and apply model compression techniques such as quantization and distillation to optimize LLM deployment. Leverage embeddings, knowledge graphs, and vector databases for efficient information retrieval and AI-driven insights. Develop robust MLOps/LLMOps pipelines for model versioning, monitoring, and CI/CD integration. Deploy AI models in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML) and optimize inference cost-performance trade-offs. Utilize containerization and orchestration tools such as Docker, Kubernetes, and Kubeflow for scalable AI deployments. Stay updated on the latest AI advancements and integrate emerging technologies into production systems. Ensure AI model interpretability, fairness, and adherence to ethical AI principles. Participate in code reviews, debugging, and troubleshooting of AI models and pipelines. Required Qualifications & Skills: Education: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: 5+ years of hands-on experience in AI, machine learning, or deep learning projects. Programming: Strong proficiency in Python and its AI/ML libraries (NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn, etc.). LLM Expertise: Hands-on experience with LLMs such as OpenAIs GPT, Llama, Mistral, Gemini, PaLM, or similar frameworks. Fine-Tuning & Optimization: Experience fine-tuning LLMs, optimizing for cost-performance balance, and utilizing techniques like LoRA, PEFT, and RLHF. NLP & Deep Learning: Expertise in NLP model training, transformer-based architectures (BERT, T5, GPT, etc.), and model evaluation techniques. MLOps & LLMOps: Experience with model lifecycle management, monitoring, CI/CD pipelines, and cloud-based model deployment. Cloud & Deployment: Proficiency in deploying AI models on Google Cloud (Vertex AI), AWS, or Azure. Containerization & Orchestration: Experience with Docker, Kubernetes, and Kubeflow for AI model deployment. Data Engineering: Knowledge of data preprocessing, feature engineering, and handling large-scale datasets efficiently. Prompt Engineering: Strong understanding of prompt design, embedding generation, and model evaluation metrics for LLMs. Security & Ethics: Familiarity with AI security best practices, data privacy, and responsible AI principles. Interested candidates can reach out at 9711831492 or share your resume at gaurav.a2zhrconsultants@gmail.com Candidates who are already on Notice period or immediately available shall apply only. Regards Gaurav Kumar A2Z HR Consultants 9711831492

Role & responsibilities Conduct research in AI, focusing on LLMs, NLP, and Graph-based approaches Design and implement innovative algorithms and models to improve AI capabilities Collaborate with cross-functional teams to apply research findings to real-world applications Stay current with the latest advancements in AI and contribute to the company's intellectual property portfolio Key Skills : Large Language Models (e.g., Transformer architectures, few-shot learning, prompt engineering) Natural Language Processing (e.g., text classification, named entity recognition, sentiment analysis) Graph Neural Networks and graph-based machine learning Distributed computing and parallel processing Data analysis and visualization Scientific writing and presentation skills Required Qualifications: B. Tech / Masters in Computer Science, Artificial Intelligence, or a related field Prefer a Ph.D. in Computer Science, Artificial Intelligence, or a related field Strong background in machine learning, deep learning, and AI algorithms Experience in NLP techniques and Large Language Models Experience with Graph Neural Networks and graph-based machine learning approaches Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) Excellent programming and software engineering skills Preferred Qualifications: Ph.D. in Computer Science, Artificial Intelligence, or a related field Experience with distributed computing and large-scale machine learning systems Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) Knowledge of ethical AI and responsible AI development practices Experience with multi-modal AI systems combining language, vision, and other modalities

We are seeking a talented and motivated Senior Data Scientist to join our team. The ideal candidate will have a strong background in Python, neural networks, generative AI (GenAI), and large language models (LLM), as well as experience in prompt engineering. This role requires a solid understanding of data science techniques and the ability to apply them to solve real-world problems. Key Responsibilities: Develop and implement machine learning models, including neural networks and generative AI. Work with large language models to enhance natural language processing capabilities. Design and optimize prompts for various AI applications. Analyze and interpret data to provide actionable insights. Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions. Stay current with the latest advancements in data science and AI technologies. Required Skills: Proficiency in Python programming language. Experience with neural networks and generative AI/LLM. Knowledge of prompt engineering techniques. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Qualifications: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. 5+ years of experience in data science or a related role. Proven experience in developing and deploying machine learning models. Familiarity with cloud platforms and big data technologies is a plus.

Languages/Frameworks : Python, SQL, TensorFlow, PyTorch, Scikit-learn Cloud & Infrastructure : AWS, Azure, GCP, Docker, MLOps principles AI Focus Areas : LLMs, Prompt Engineering, Neural Networks, NLP, NLU, RAG, GraphQL, Graph Databases House rent allowance Travel allowance Health insurance Maternity policy Annual bonus Performance bonus Job/soft skill training Course reimbursements

Required Skills (Technical):- Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Keras, Pytorch. Knowledge of work with Pyspark is a must. (Working with Azure Databricks platform is preferred) Advanced knowledge in handling Time Series Data and modelling it with time series algorithms. Knowledge of working with Geospatial data would be preferable. Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies. Build complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team. Familiar with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases). Knowledge of REST APIs and Web Services 6. Experience with Python, R, sh/bash Required Skills (Non-Technical):- Fluent in English Communication (Spoken and verbal) Should be a team player Should have a learning aptitude Detail-oriented, analytically. Extremely organized with strong time-management skills Problem Solving & Critical Thinking Require Work Location :Remote , hyderabad,ahmedabad,pune,chennai,kolkata. Work Timing : 2:30 PM to 11:30 PM IST

We are seeking a talented and motivated Senior Data Scientist to join our team. The ideal candidate will have a strong background in Python, neural networks, generative AI (GenAI), and large language models (LLM), as well as experience in prompt engineering. This role requires a solid understanding of data science techniques and the ability to apply them to solve real-world problems. Key Responsibilities: Develop and implement machine learning models, including neural networks and generative AI. Work with large language models to enhance natural language processing capabilities. Design and optimize prompts for various AI applications. Analyze and interpret data to provide actionable insights. Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions. Stay current with the latest advancements in data science and AI technologies. Required Skills: Proficiency in Python programming language. Experience with neural networks and generative AI/LLM. Knowledge of prompt engineering techniques. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team.

Overview: We are seeking an exceptional and technically accomplished Senior Data Scientist to join our rapidly growing team. This role is ideal for a hands-on AI expert with deep experience in Large Language Models (LLMs) , Natural Language Processing (NLP) , Cognitive AI , Conversational AI , and Agentic AI systems . You will work on designing, developing, and scaling state-of-the-art AI solutions that drive business innovation, operational intelligence, and customer experience transformation. This is a high-impact individual contributor role, focused on technical excellence and product-grade AI development. Key Responsibilities LLM & Cognitive AI Solution Development Architect and fine-tune LLM-based solutions (e.g., GPT, LLaMA, Claude, Mistral) using transfer learning, PEFT, and retrieval-augmented generation (RAG). Develop Agentic AI architectures with autonomous behavior and multi-agent collaboration capabilities. Apply prompt engineering , in-context learning , and tool former-style techniques to enable complex reasoning and task execution. Build Conversational AI systems using Transformer-based backbones and orchestration tools (LangChain, Haystack, Rasa, Semantic Kernel). Natural Language Processing (NLP) Design and implement advanced NLP pipelines for semantic search, summarization, NER, text classification, and knowledge extraction. Utilize and integrate tools such as SpaCy , BERT , RoBERTa , GloVe , Word2Vec , NLTK , and TextBlob . Conduct advanced text preprocessing, dependency parsing, sentiment analysis, tokenization, and multilingual NLP modeling. AI/ML Engineering Build scalable ML pipelines with FastAPI, gRPC, and RESTful interfaces. Containerize services using Docker and deploy to production environments via Kubernetes and cloud-native workflows. Integrate models into real-time and batch data systems, optimizing for latency, throughput, and reliability. Cloud & Infrastructure Develop and deploy solutions on AWS , Azure , or Google Cloud Platform (GCP) . Leverage services like SageMaker, Vertex AI, Azure ML Studio, and serverless orchestration tools. MLOps & CI/CD Design and maintain end-to-end MLOps pipelines using tools like MLflow, Kubeflow, or TFX for reproducibility and traceability. Automate model testing, monitoring, versioning, and rollback strategies in production. Big Data & Analytics Apply Spark, Hadoop, and Hive to process large-scale datasets efficiently. Perform complex data transformations and statistical modeling to extract actionable insights. Database & Data Engineering Interface with SQL and NoSQL systems (PostgreSQL, MongoDB, DynamoDB, etc.) for efficient data retrieval and processing. Design data schemas and optimize query performance for AI-centric applications. Cross-functional Collaboration Work closely with product managers, engineers, and domain experts to identify high-impact problems and deliver AI-driven solutions. Communicate findings and solution architectures clearly to technical and non-technical stakeholders. Technical Skills Expert in Python , PyTorch, HuggingFace Transformers, LangChain, and OpenAI/Anthropic/LLama APIs. Deep understanding of Transformer architectures , Attention Mechanisms , and LLM fine-tuning techniques . Familiarity with Agentic AI paradigms , including memory management, autonomous goal completion, and tool use. Strong experience with cloud platforms, container orchestration (Docker + Kubernetes), and deployment automation. Proficient in statistical modeling, probabilistic reasoning, and experimental design. Bonus Experience in Online Reputation Management (ORM) or product-centric platforms . Publications or open-source contributions in AI/ML/NLP.

Role Overview: We' re looking for a Lead Data Scientist to join our fast-growing, mission-driven team. This is a high-impact leadership role at the intersection of technology, strategy, and innovation where your expertise will power intelligent solutions that redefine how we think about data, products, and customer experience. If you thrive in high-performance environments and want to lead cutting-edge projects with Generative AI, LLMs, and large-scale NLP systems, this is your opportunity to make a lasting impact. Key Responsibilities: Build the Future with AI/ML Architect scalable AI systems to solve real-world, high-value business challenges cross domains. Design and deploy cutting-edge solutions with Generative AI, Transformer architectures, and custom Large Language Models (LLMs). Apply state-of-the-art ML techniques prompt engineering, transfer learning, multi-modal learning to push the boundaries of what's possible. NLP at Scale Lead the development of advanced NLP systems: semantic search, question answering, summarization, classification, and conversational AI. Work with best-in-class models and libraries: BERT, GPT, RoBERTa, Word2Vec, SpaCy, NLTK, Hugging Face Transformers, and more. Leverage language understanding to transform unstructured data into strategic insights. Full-Lifecycle Model Deployment Build robust MLOps pipelines for training, testing, deployment, and monitoring using MLflow, Kubeflow, Airflow, and CI/CD tools. Containerize and orchestrate AI models using Docker and Kubernetes across cloud environments (AWS, GCP, Azure). Design APIs and inference services using FastAPI or gRPC, optimized for performance, scalability, and uptime. Lead, Inspire, and Elevate Build and mentor a world-class data science team, nurturing talent and fostering a culture of curiosity, experimentation, and technical excellence. Drive the data science strategy, influence key decisions, and align AI initiatives with business goals. Establish best-in-class practices for model development, code quality, documentation, and performance evaluation. Data at the Core Work hands-on with structured, semi-structured, and unstructured data. Optimize high-volume data pipelines, integrate with SQL and NoSQL databases, and leverage big data ecosystems like Spark, Hive, and Hadoop. Use statistical modeling and experimental design to derive actionable intelligence from data Collaborate Across the Enterprise Work closely with engineering, product, and executive teams to define problems, explore solutions, and deliver AI products that move the needle. Translate technical concepts into strategic recommendations and insights that influence roadmaps and revenue. Champion AI literacy and advocate for ethical, explainable, and scalable data science across the organization. Education Bachelors or Master’s in Computer Science, AI, Data Science, Machine Learning, Engineering, or a related technical discipline. PhD is a plus. Experience 6+ years of experience in data science or machine learning, with 2+ years in a leadership or managerial role. Proven record of building and deploying AI solutions at scale in real-world production environments. Experience in GenAI, NLP, cloud-native architectures, and full-cycle ML development. Technical Expertise Languages & Libraries: Python, Scikit-learn, PyTorch, TensorFlow, Hugging Face, NumPy, Pandas NLP: BERT, GPT, Word2Vec, SpaCy, NLTK, TextBlob, CoreNLP, Transformer-based architectures Cloud & Deployment: AWS, Azure, GCP, Docker, Kubernetes, FastAPI, gRPC Big Data: Spark, Hive, Hadoop, Kafka Data Systems: PostgreSQL, MongoDB, Cassandra, Snowflake, BigQuery MLOps & Monitoring: MLflow, Airflow, Kubeflow, Prometheus, Grafana Nice to Have Experience in online reputation management, customer analytics, or product-led organizations. Familiarity with responsible AI, fairness, and explainability techniques (SHAP, LIME).

About the job: Key responsibilities: 1. Research and experiment with state-of-the-art AI models including GPT, BERT, Stable Diffusion, and other generative architectures 2. Fine-tune, evaluate, and deploy large language models (LLMs) for various AI-driven applications 3. Design and build AI agents capable of autonomous decision-making and task execution 4. Develop and optimize machine learning pipelines and datasets for training AI models 5. Collaborate with software engineers and data scientists to integrate AI models into products 6. Stay updated with the latest AI research, papers, and trends in generative AI and reinforcement learning 7. Participate in code reviews, design discussions, and knowledge sharing sessions within the team 8. Create documentation, tutorials, and reports on AI experiments and project outcomes Required Skills and Knowledge: 1. Demonstrate strong understanding of Artificial Intelligence concepts including machine learning (supervised, unsupervised, reinforcement learning), deep learning fundamentals (neural networks, CNNs, RNNs, transformers), large language models (LLMs) such as GPT, BERT, T5, generative AI techniques (GANs, VAEs, diffusion models), and AI agents and autonomous systems 2. Show proficiency in Python programming; experience with AI/ML frameworks such as TensorFlow, PyTorch, HuggingFace Transformers, or similar 3. Exhibit experience or academic exposure to natural language processing (NLP) and computer vision 4. Familiarity with prompt engineering, fine-tuning models, and evaluation metrics 5. Possess basic understanding of cloud platforms and AI APIs (AWS, Azure, Google Cloud, etc.) 6. Apply analytical mindset and strong problem-solving skills 7. Be self-driven with eagerness to learn new AI technologies and tools 8. Hold a bachelor's or higher degree in computer science, data science, AI/ML, or related technical field 9. Demonstrate proven hands-on experience with AI projects, research, or industry applications 10. Knowledge of ethical AI, bias mitigation, and AI safety considerations 11. Ability to work independently and collaboratively in a remote team environment 12. Exhibit good communication and documentation skills What We Offer: 1. Provide opportunity to work with cutting-edge AI and generative models 2. Collaborate with experienced AI researchers and engineers 3. Gain exposure to AI agents, LLMs, and the latest generative AI technologies 4. Work on real-world AI applications impacting diverse industries 5. Receive competitive salary and potential growth into leadership roles Note: This job is open to serious candidates committed to building a career in AI research and development Who can apply: Only those candidates can apply who: have minimum 1 years of experience can work from 8:00 am - 6:00 pm Indian Standard Time (as the company is based outside of India & their local work timings are 8:00 am - 6:00 pm India Standard Time) are Computer Science Engineering students Salary: ₹ 2,00,000 - 8,00,000 /year Experience: 1 year(s) Deadline: 2025-06-29 23:59:59 Other perks: 5 days a week Skills required: Python, Data Structures, Machine Learning, Data Science, Neural Networks, Natural Language Processing (NLP), Deep Learning, Artificial intelligence, Artificial Intelligence Markup Language (AIML) and LLM evaluation About Company: NetWit.ca is a Vancouver-based software and digital solutions company dedicated to empowering businesses with innovative technology and marketing strategies. We specialize in custom software development, mobile and web applications, CRM systems, and automation tools tailored to meet unique business needs. Alongside our software expertise, we offer data-driven digital marketing services to help clients generate leads, enhance online visibility, and drive growth. Our team combines technical excellence with creative problem-solving to deliver scalable solutions that streamline operations and accelerate success across industries. At NetWit.ca, we build technology that works for your business.

About Accenture:Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries,we offer Strategy and Consulting,Technology and Operations Services, and Accenture Song - all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us atwww.accenture.comResponsibilities/AuthoritiesA Telco domain experienced and data science analyst/consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders – Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements – and be able to inform the best approach to the problem Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints Storytelling – Crunch the data & numbers to craft a story to be presented to senior client stakeholders Should be able to travel or relocate to Japan as per business requirementJOB REQUIREMENTS – Overall Experience Industry experience in Telecom JLPT N2/N3/N4 Japanese language certification is a must Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Relevant experience of 7+ years for Consultant role Demonstrated experience in solving real-world data problems through Data & AI Qualifications Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Machine Learning Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BTech Summary :As an AI/ML Engineer,, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: Must To Have Skills:CCAI hands on experience and generative AI understanding. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 3 - 5 years of experience in Google Cloud Machine Learning Services.and overall Experience around 5 - 7 years The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications BTech

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve working with Python and applying GenAI models as part of the solution, along with deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Develop and deploy applications and systems that utilize AI tools and Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. Apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Collaborate with cross-functional teams to design and implement AI-based solutions that meet business requirements. Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Proficiency in Python. Good To Have Skills:Experience with deep learning, neural networks, chatbots, and image processing. Strong understanding of AI and machine learning algorithms. Experience with cloud AI services and application pipeline. Experience with production-ready quality. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in Python. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful AI-driven solutions. This position is based at our Bengaluru office. Qualifications 15 years

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education

The Digital :Azure Machine Learning (ML) role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Digital :Azure Machine Learning (ML) domain.

The Digital :Azure Machine Learning (ML), Digital :Databricks role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Digital :Azure Machine Learning (ML), Digital :Databricks domain.

The Python, Digital :Chatbots / Conversational Agents role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Python, Digital :Chatbots / Conversational Agents domain.

Responsibilities: Develop and Propose the solution architecture for Generative AI (especially LLMs), advanced Conversational AI chatbots & cloud AIaaS. Develop and implement applications leveraging advanced Generative AI models such as OpenAI GPT, Anthropic Clude, Meta Llama2 and Google Gemini focusing on enhancing developer and business productivity. Develop, Train, Finetune, and Deploy large language models to perform the domain specific tasks. Apply instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient finetuning such as, adaptors, LoRA, and so on to improve LLMs for different use cases. Architect solutions incorporating advanced techniques like Retrieval Augmented Generation (RAG), Transformer Architectures, Lanchain, Sqlchain ensuring optimal model performance and scalability. Hands on experience in RAG system, LLM fine tuning and Vector DB is must Measure and benchmark of the various LLMs and application performance. Drive end-to-end implementation and deployment with extensive knowledge of Azure and AWS services Stay abreast of emerging trends, complex patterns, data dependencies, and advancements in AI architecture, contributing to the refinement and innovation of application development processes. Qualifications: Bachelor Degree or Masters degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence. Excellent programming skills in Python with strong fundamentals in programming, optimizations and software design Strong knowledge of ML/DL techniques, algorithms, and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, BART, GPT/T5, Megatron, LLMs) Hands-on experience on conversational AI Technologies like Natural Language Understanding, Natural Language Generation, Dialog systems (including system integration, state tracking and action prediction), Information retrieval and Question and Answering, Machine Translation etc. Experience with Training BERT, GPT and Megatron Models for different NLP and dialog system tasks using “PyTorch” Deep Learning Frameworks and performing NLP data wrangling and tokenization Understanding of MLOps life cycle and experience with MLOps workflows & traceability and versioning of datasets including knowhow of database management and queries (in SQL, MongoDB etc) Experience using end-to-end MLOps platform such as Kubeflow, MLFlow, AirFlow Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.