5485 Deep Learning Jobs - Page 32

If interested, please apply here: https://aviato.jobs.growhire.com/jobs/cmbu53mgh25mv6yq81weryhym At Aviato Consulting, you'll be at the forefront of innovation, building and deploying impactful AI solutions for some of Australia's largest enterprises. As a Data Scientist, you'll leverage the power of Google Cloud and collaborative environments like Colab notebooks to develop, train, and optimize machine learning models that drive real business outcomes. You'll be a key player in shaping our data science practice, working with diverse datasets, and directly contributing to our clients' success and our company's growth. What Experience is Mandatory: Proven Data Science Expertise: 5+ years of Demonstrated experience in applying machine learning techniques, statistical modeling, and predictive analytics to solve complex business problems. Google Cloud Platform (GCP) Proficiency: Hands-on experience with key GCP services relevant to data science, such as Vertex AI (for model training and deployment), BigQuery (for data warehousing), Cloud Storage, and Dataflow. Model Training and Optimization: Strong background in the end-to-end lifecycle of machine learning models, including data preprocessing, feature engineering, model selection, training, evaluation, and hyperparameter tuning. Python and Notebook Environments: Expert-level proficiency in Python for data manipulation, statistical analysis, and machine learning, with extensive experience using interactive environments like Jupyter or Google Colab notebooks for development and collaboration. Working with Large Datasets: Experience handling, processing, and deriving insights from large and complex datasets, understanding data governance and security best practices. Client-Facing Experience: Previous experience working directly with clients to understand requirements, present findings, and provide technical guidance. What Experience is Beneficial (but Optional): MLOps Practices: Familiarity with MLOps principles and tools for automating and streamlining the machine learning lifecycle, including CI/CD for models. Deep Learning Frameworks: Experience with deep learning frameworks such as TensorFlow or PyTorch. Data Visualization Tools: Proficiency with data visualization libraries or tools (e.g., Matplotlib, Seaborn, Looker) to communicate insights effectively. What We Offer: Impactful Work & Ownership: You'll work on high-impact projects for large Australian clients, with significant autonomy and the opportunity to see your work directly influence business decisions. Culture Built for Growth: Join a company founded by Ex-Googlers, fostering a culture of innovation, continuous learning, and collaboration, where your ideas are valued. Shared Success: Become a part-owner of Aviato with an Employee Share Ownership Plan (ESOP) after 6 months, aligning your success with ours. Rewarding Performance: Benefit from an annual bonus structure that recognizes your contributions and achievements. True Flexibility: Enjoy the freedom of a fully remote work environment, allowing you to work from where you're most productive. Certified Excellence: Be part of a "Great Place to Work" certified organization, reflecting our commitment to a positive and supportive employee experience. Continuous Learning: We invest in your professional development, providing resources and opportunities to expand your skills and stay at the cutting edge of data science and Google Cloud technologies.

We are seeking a passionate and skilled AI/ML Developer to join our innovative team. In this role, you will design, develop, and implement cutting-edge AI-based solutions and machine learning models of various types, including recommendation systems, retrieval-augmented generation (RAG), chatbots, and more. You will also contribute to projects involving computer vision, with knowledge of frameworks like OpenCV and experience with object detection models such as YOLO being a plus. Key Responsibilities: Develop and optimize diverse machine learning models and AI algorithms. Build scalable solutions for applications like recommendation systems, RAG, and chatbots. Apply computer vision techniques for real-world use cases; experience with YOLO and object detection is a bonus. Leverage frameworks such as PyTorch, TensorFlow, LangChain, and Hugging Face for AI development. Utilize tools like LlamaIndex and contribute to innovative AI-driven applications. Qualifications: Bachelors degree from a recognized university. Proficiency in AI/ML tools, frameworks, and techniques. Strong interest in learning new technologies and driving innovation.

Designation : Assistant Vice President Experience: 15+ years Current Role Requirement: Must be at a leadership level Tech Skills: Generative AI, AI/ML, Python, ML/DL Domain: Insurance (any line) Location: Gurugram Cloud: Preference for Azure, though AWS/GCP is acceptable Contact- 9045052073 Key Responsibilities Define and execute the Generative AI roadmap for insurance business functions including underwriting, claims, fraud detection, pricing, and customer experience. Lead, mentor, and scale global teams of Data Scientists, AI/ML Engineers, and Cloud specialists. Architect and deliver LLM-powered solutions (ChatGPT, Falcon, LLaMA, Dolly, LangChain, etc.) to drive automation, intelligence, and decision support. Oversee the design and deployment of predictive, prescriptive, and generative AI models with measurable business impact. Establish AI governance, ethical AI practices, and compliance frameworks for responsible adoption. Collaborate with insurance leaders and stakeholders to ensure solutions address core business priorities and client needs. Leverage cloud-native AI/ML platforms (Azure ML, Databricks, GCP Vertex AI, Dataiku, MLFlow) for scalable and secure deployments. Champion innovation initiatives, hackathons, and PoCs to continuously expand GenAI capabilities . Represent Company in executive forums, client discussions, RFPs, and industry events as a thought leader in AI for insurance. Required Skills & Experience 20+ years of IT industry experience, including 10+ years in AI/ML and 3+ years in Generative AI (LLMs, vector databases, prompt engineering). Strong insurance domain expertise with proven applications in claims automation, fraud analytics, underwriting, and policy servicing. Track record of managing and delivering large-scale AI programs with teams of 50+ global professionals. Proficiency in Generative AI tools and frameworks: OpenAI, LangChain, ChromaDB, Falcon-7B, Dolly, LLaMA, TensorFlow, PyTorch, Kedro. Deep expertise in Python, PySpark, SQL, ML/DL architectures (ANN, CNN, RNN, LSTM, GRU, AutoEncoders). Hands-on experience with cloud platforms (Azure, GCP), MLOps, CI/CD pipelines, Kubernetes, and DevOps tools. Strong business acumen with ability to engage C-suite executives and translate business needs into AI solutions. Proven track record of innovation and automation, including chatbots, copilots, OCR/Form Recognizer, anomaly detection, and knowledge graph solutions.

Role: Data Scientist Experience: 4 to 8 Years Location: Gurugram / Bengaluru (On-site, 5 days a week) Employment Type: Full-time Key Skills & Technologies: Large Language Models (LLM) fine-tuning, prompt engineering, evaluation RAG (Retrieval-Augmented Generation) – implementation, optimization, and scaling Agentic AI systems – AI agents, multi-agent orchestration, workflows Proficiency in Python and common ML/NLP libraries (Transformers, LangChain, etc.) Experience with Vector Databases (e.g., FAISS, Pinecone, Weaviate) Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools Key Responsibilities: Design and build intelligent systems leveraging LLMs and RAG architectures Develop and deploy Agentic AI systems for autonomous task handling Collaborate closely with product and engineering teams to translate ideas into AI-driven solutions Drive experimentation and continuously optimize models and systems Maintain and improve pipelines for training, fine-tuning, and deployment Requirements: 4–8 years of relevant industry experience in AI/ML or Data Science Strong foundation in Machine Learning , NLP , and Deep Learning Prior experience building applications using LLMs, RAG pipelines, or autonomous agents Ability to work onsite 5 days a week in Gurugram or Bengaluru

Preferred Qualifications: Experience in AI/ML in the healthcare sector Experience working with cross-functional and distributed teams in a global and diverse environment Experience in establishing AI/ML best practices, standards, RUAI, and ethics Required Qualifications: Proven solid Python programming skills and experience with deep learning popular frameworks such as PyTorch Proficiency in SQL and other programming languages for data analysis and modeling Proficiency with cloud development environments such as Azure, AWS, and GCP Proven in-depth knowledge in Generative AI technology and Large Language Models (LLM) Experience with LLM frameworks and/or NLP approaches such as text embedding Experience working on collaborative software projects using GitHub Proven solid technical communication skills Experience with both traditional machine learning algorithms and modern deep learning and generative AI models Proven good knowledge of GPU use, and the ability to rapidly set up pipelines for testing new ideas Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Skill Set; NLP, NLU, NLI, Transformers, Attention, GPT, Llama, Mistral, Model Quantization, Model Optimization, Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing, and presentation skills Proven advanced understanding of Deep Learning with applications in Time series Processing, NLP, and multimodal modeling Mandatory Skills: AI Cognitive .Experience: 5-8 Years .

Job Description - Gen AI Experience 4-12 years Work Location Chennai/ Bangalore Mandatory Skills Gen AI, LLM, RAG, Lang chain, Llama, AI/ML, Deep Learning, Python, Tensorflow, Pytorch, Pandas, Prompt Engineering, Vector DB, MLOps Preferred Skills AWS or GCP or Azure Cloud, GPT-4, SQL, Fast API/ API Development, Docker/ Kubernetes, Hadoop, Spark or Apache Flink Data Pipeline, Banking exposure Educational Background: Bachelors or Masters degree in Computer Science, Artificial Programming Languages: Proficiency in Python, R, API development - Python/Fast API. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras etc. Gen AI & RAG: Experinced in GEN AI Models, Langchain/Langflow and Prompt Engineeri Machine Learning: Strong understanding of machine learning algorithms, Deep Learnin Data Science: Experience with data analysis, data visualization, and statistical modelin Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Sp Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure Awareness on applied statistics, Experinced in Algorithms, Model development / evalua Exposure to ML Ops & Awareness of Containerisation with Docker/ Kubernetes Problem-Solving: Strong analytical and problem-solving skills with the ability to think c Communication: Excellent verbal and written communication skills, with the ability to Mandatory Skills: Generative AI .Experience: 5-8 Years .

Job Description: We are seeking an experienced and highly analytical Data Scientist with a strong statistical background to join our dynamic team. You will be instrumental in leveraging our rich datasets to uncover insights, build sophisticated predictive models, and create impactful visualizations that drive strategic decisions. Responsibilities: Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Technical Requirements: 4+ years of progressive professional experience in a Data Scientist, Machine Learning Engineer, or similar quantitative role, with a track record of successfully delivering data science projects. Bachelor's or Master's degree in Statistics. A strong foundation in statistical theory and application is essential for this role. (We might consider highly related quantitative fields like Applied Statistics, Econometrics, or Mathematical Statistics if they have a demonstrably strong statistical core, but Statistics is our primary focus). Proven hands-on experience applying a variety of machine learning techniques (e.g., regression, classification, clustering, tree-based models, potentially deep learning) to real-world business problems. Must have strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, potentially TensorFlow or PyTorch). Hands-on experience working with cloud computing platforms (e.g., AWS, Azure, GCP) for data storage, processing, and deploying analytical solutions. Extensive experience creating data visualizations and dashboards to effectively communicate insights. You know how to tell a story with data! Solid understanding of experimental design, hypothesis testing, and statistical inference. Excellent problem-solving skills, attention to detail, and the ability to work with complex data structures. Strong communication, presentation, and interpersonal skills, with the ability to explain technical concepts clearly to diverse audiences. Good to Have: Experience working within the Automotive industry or with related data such as vehicle telematics, manufacturing quality, supply chain, or customer behavior in an automotive context. Experience with GCP services such as GCP Big query, GCS, Cloud Run, Cloud Build, Cloud Source Repositories, Cloud Workflows Proficiency with specific dashboarding and visualization tools such as Looker Studio, PowerBI, Qlik. Experience with SQL for data querying and manipulation. Familiarity with big data technologies (e.g., Spark, Hadoop). Experience with MLOps practices and tools for deploying and managing models in production. Advanced degree (PhD) in Statistics or a related quantitative field.

Develop and implement a robust and scalable AI/ML architecture that aligns with business objectives. Design, develop architect scalable and robust AI/ML solutions and help productionize the workloads. Define and enforce AI/ML architecture, standards and best practices including MLOps. Help in accuracy and robustness improvements for AI systems which have been developed. Implement model monitoring and performance optimization strategies. Ensure model scalability and reliability in production environments. Enable innovation, efficiency and competitive advantage through AI/ML. Cost-effectiveness of the AI/ML infrastructure. Define the overall AI /ML architecture roadmap and patterns practices. Research and analysis to identify emerging AI architecture, techniques and accuracy improvement trends and patterns and on the latest advancements in AI/ML. Drive AI /ML /MLOps architecture definition and guidance on developing solutions. Maintain a competitive edge and explore new business opportunities Contribute to Infra architecture for ML model training and deployment. Prototype and experiment with novel AI/ML techniques and applications. Define the overall AI architecture roadmap and patterns, MLOPs practices. Work on prototypes Successful implementation of new techniques. Drive innovation and research in AI/ML to identify and implement cutting-edge solutions. Conduct regular audits and assessments of solutions. Put together Auditing framework with various aspects on scoring method and execute. Compliance with ethical guidelines and regulations. Reduction in bias and fairness issues in models. Conduct code reviews and architecture assessments and evaluations using standard techniques and best practices. Develop and publish Evaluation Metrics Design and put together AI auditing framework Evaluate and select appropriate AI models and frameworks and help in evaluation POCs. Contribute to presentation, content, awareness building and trainings of AI/ML. Presentation and content development Awareness building and communication Training and capability building Metrics and evaluation.

AIML Architect, you will play a crucial role in designing, developing, and deploying innovative AI/ML, Imaging, CV solutions for our clients. You will be responsible for leading the technical direction of computer vision projects, Required Candidate profile Ensuring the successful implementation of cutting-edge AI/ML algorithms, and driving the development of high-performance systems

Job Title : AI / Gen-AI Data Scientist Employment Type: Full-Time Experience: 4 to 6 years Industry: Information Technology Services Domain: BFSI (Capital Markets, Banking & Financial Services, Insurance) Location: Mumbai Role Summary We are hiring an AI / Gen-AI Data Scientist with 46 years of experience in developing and deploying machine learning and generative AI models . The ideal candidate should be proficient in Python, NLP, LLMs, and statistical modelling , with hands-on exposure to ML Ops practices . Prior experience in the BFSI domain will be a strong advantage. Key Responsibilities Develop, fine-tune, and deploy AI/ML & Generative AI models for NLP, text analytics, and predictive solutions. Build data pipelines, perform feature engineering , and ensure data quality for model training & inference. Collaborate with cross-functional teams to translate business problems into AI solutions . Implement ML Ops practices (model versioning, monitoring, deployment pipelines). Conduct exploratory data analysis & statistical modelling to derive actionable insights. Experiment with LLMs/SLMs , prompt engineering , fine-tuning approaches for BFSI-specific use cases. Must-Have Tech Stack 4–8 years of proven experience as a Data Scientist / AI Engineer. Strong proficiency in Python with libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch . Expertise in NLP & LLMs (Hugging Face, LangChain, RAG pipelines, prompt engineering). Solid understanding of machine learning algorithms, deep learning, and statistical methods . Experience in data preprocessing, feature engineering , and building end-to-end ML pipelines Experience with ML Ops frameworks (MLflow, DVC) for model lifecycle management. Good-to-Have Skills Prior exposure to BFSI projects (fraud detection, risk modelling, compliance automation). Familiarity with cloud AI/ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI). Knowledge of vector databases (FAISS, Pinecone, Weaviate) for retrieval-augmented generation. Exposure to data engineering tools (Spark, Databricks, Airflow, Kafka). Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn). Awareness of Responsible AI / Explainable AI practices.

Greetings From Scorelabs Inc ! Deploy models/APIs using Flask/Django on AWS, Azure, or GCP. Work with vector databases (FAISS, Pinecone, Weaviate) for similarity search. Implement AI workflows (LangChain, LangGraph, CrewAI, MCP) HR 9550760771 Required Candidate profile 2 - 4 years (1-2 years In Data Science) Experience with LangChain, LangGraph, CrewAI, MCP servers, Hugging Face Transformers, Retrieval-Augmented Generation (RAG) Or (Zapier, Make.com, n8n) & AI

Hiring AI/ML Engineer Mandatory : Work model : WFO only - Pune/Hyderabad location Salary Range : 20LPA -25LPA Looking for candidates who can join immediately or Max in 15 days only apply Skills & Expertise : - ML Models - Deep Learning - LLM

As a Computer Vision Researcher, you will be responsible for designing and optimizing deep learning models, building prototypes, and collaborating closely with cross-functional teams to ensure the seamless integration and real-time deployment of computer vision technologies into robotic systems. Joining our ambitious Advanced Robotics team, dedicated to pushing the boundaries of robotics and launching innovative products, you will be based out of Noida Headquarters. In this role, you will play a crucial part in developing a robot vision system that enables humanoid robots to navigate, interact, and learn from complex and dynamic environments. Your responsibilities will include conducting advanced research in computer vision, designing and training deep learning models, implementing efficient data processing pipelines, building prototypes and proof-of-concept systems, evaluating and optimizing the performance of computer vision models, integrating third-party computer vision libraries, and collaborating with product teams, hardware engineers, and software developers. You will also mentor junior researchers and engineers on computer vision concepts and technologies, providing guidance in experimental design, data analysis, and algorithm development. To qualify for this role, you should have a PhD or master's degree in computer science, Computer Vision, AI, Robotics, or a related field, along with 5-8 years of experience. Strong understanding of computer vision techniques, proficiency in deep learning frameworks, experience with Visual SLAM, LiDAR SLAM, VIO, CNNs, RNNs, GANs, Visual Language Action (VLA), traditional computer vision techniques, programming skills in C++, Python, data processing, augmentation, computer vision libraries, GPU programming, machine learning algorithms, model evaluation metrics, and staying current with the latest research trends are essential requirements for this role.,

We are seeking a highly skilled Data/AI/ML/Gen AI Scientist to join our team and contribute to the development and implementation of advanced AI products and solutions. Your role will be instrumental in helping businesses leverage AI and ML technologies to their full potential. The ideal candidate should possess a strong proficiency in Python, hands-on experience with cloud platforms, and a comprehensive understanding of various AI concepts. Your responsibilities will include developing and deploying innovative AI and ML models to address complex business challenges. You will be tasked with creating scalable AI solutions using Python and relevant frameworks/libraries such as Flask API, Fast API, Pandas, Scikit Learn, PyTorch, Transformer, OpenAI, and Huggingface. Collaboration with cross-functional teams to comprehend business requirements and translate them into technical solutions will be a key aspect of your role. Staying abreast of the latest advancements in AI and ML through research and development activities will be crucial. You will also engage with clients to tailor AI solutions to their specific needs. Additionally, you will play a pivotal role in leading and mentoring junior team members, fostering a culture of collaboration and innovation within the team. Continuous learning and development are essential to keep pace with the rapidly evolving AI industry. As part of your role, you will be expected to rapidly prototype and iterate on AI models and solutions to meet evolving business needs. Proficiency in Python, experience with cloud platforms like AWS, Azure, or GCP for AI/ML/DS project development, and a solid grasp of ML models, Deep Learning, NLP/CV, and Generative AI concepts are key qualifications required for this position. The ability to thrive in a fast-paced environment with a focus on rapid prototyping is essential. Experience in client engagement and team leadership will be advantageous. A proven track record of building products and solutions using cutting-edge AI models and tools is highly desirable for this role.,

As a Data Scientist at DataBeat.io, you will have the opportunity to work with leading companies globally, shaping the technology world with breakthrough solutions and cutting-edge tools. With a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field, along with 6+ years of proven experience in data science and successful project leadership, you will play a crucial role in the big data and analytics ecosystem. Your responsibilities will include a deep understanding of advanced machine learning techniques like deep learning and ensemble methods, as well as experience in projects involving LLMs and GenAI models. Proficiency in programming languages such as Python or R, along with familiarity with big data technologies like Apache Spark and cloud platforms such as AWS, Azure, and GCP, will be essential for success in this role. In addition to technical skills, you will need strong data visualization capabilities to present complex data in a clear and concise manner. Excellent problem-solving and analytical skills, coupled with a strategic mindset, will enable you to drive impactful results in your projects. Effective communication and leadership skills are crucial for influencing stakeholders at all levels within the organization. On the business front, you will be required to interact with various levels of management to gather use cases and requirements, providing designs that cater to stakeholders" needs. The ability to quickly grasp industry-specific knowledge and engage with stakeholders in a meaningful way is vital. Managing clients across multiple industries simultaneously and transforming solutions into compelling stories for top management presentations will be part of your role. Join DataBeat.io and be part of a fast-growing company where your performance and contributions can propel you into leadership positions swiftly. Embrace the opportunity to work on diverse projects, collaborate with industry leaders, and make a significant impact in the data and analytics domain.,

As a Machine Learning Engineer, your primary focus will be on analyzing time series data, specifically vibration and acoustic signals, to create models for fault detection, diagnosis, and Remaining Useful Life (RUL) estimation. You will collaborate closely with a diverse team of data scientists, engineers, and domain experts to develop and deploy machine learning algorithms that improve our predictive maintenance capabilities. Your key responsibilities will include: - Analyzing and preprocessing time series data captured by vibration and acoustic sensors to extract relevant features for fault detection and prognostics. - Designing and implementing machine learning models for anomaly detection, clustering, and classification to detect equipment faults and forecast RUL. - Utilizing signal processing techniques to improve data quality and feature extraction procedures. - Working with domain experts to interpret model outcomes and incorporate insights into practical maintenance strategies. - Validating and testing models using historical data and real-time sensor inputs to ensure their robustness and accuracy. - Documenting methodologies, experiments, and findings for knowledge sharing and continuous enhancement. Qualifications for this role include: - A Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field. - A solid grasp of fundamental machine learning concepts and algorithms. - Basic experience with anomaly detection techniques, clustering methods, and signal processing. - Proficiency in programming languages like Python or MATLAB. - Familiarity with data analysis and visualization tools. - Strong problem-solving abilities and the capacity to collaborate effectively within a team. - Excellent communication skills for conveying technical concepts efficiently. Preferred skills that would be beneficial for this role are: - Exposure to time series analysis and prior experience working with sensor data. - Knowledge of predictive maintenance principles and condition monitoring practices. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Understanding of industrial equipment and maintenance processes. In addition to the challenging work environment, as a Machine Learning Engineer, you can expect: - A competitive salary with performance-based incentives. - Opportunities for professional development and growth. - A collaborative and inclusive workplace culture. - Exposure to cutting-edge technologies within the predictive maintenance domain. - Health and wellness benefits. Skills required for this role include node.js, MATLAB, data visualization, TensorFlow, Python, JavaScript, anomaly detection, clustering, deep learning, signal processing, and more.,

The job description for this position is currently unavailable. Please check back later for updates. In the meantime, feel free to review the qualifications for this role. Thank you.,

As a Senior Technology Advisor - AI Strategy at Nokia, you will play a crucial role in shaping the company's future technology innovation and identifying opportunities for creating new value. Your responsibilities will include developing corporate technology strategy and thought leadership in collaboration with cross-functional teams, managing the technology portfolio, and driving alignment on AI/ML topics that have a significant impact on Nokia. Your main responsibilities will revolve around evaluating and evolving Nokia's AI strategy, defining the integration of AI across Nokia's solutions portfolio, collaborating with R&D teams, shaping AI-driven innovations, identifying high-impact areas for technology investments, and advocating Nokias AI vision in global forums. To excel in this role, you should possess a deep understanding of AI and its alignment with networks, cognitive systems, and sustainability initiatives. Your ability to communicate strategic recommendations effectively to senior leaders and external audiences, lead cross-functional teams, and synthesize complex technological trends into actionable insights will be crucial. Key qualifications for this role include a doctorate or Masters degree in Computer Science or a related field, 15+ years of experience in technology strategy and innovation with a focus on AI, expertise in aligning AI strategies with network automation and sustainability, and hands-on experience with AI technologies such as ML, deep learning, NLP, and computer vision. It would be advantageous if you also had an MBA or equivalent qualification, certifications in AI, experience in contributing to AI-specific standardization efforts, exposure to implementing AI across various industries, and a strong understanding of ethical AI practices and governance frameworks. By joining Nokia, you will lead the charge in shaping Nokias AI-first transformation, collaborate with world-class teams to define the future of telecommunications, and represent Nokia on a global stage. Nokia offers continuous learning opportunities, well-being programs, and an inclusive culture where you can thrive and succeed. If you are passionate about driving innovation at the intersection of AI, networks, and cognitive platforms and want to be part of a company committed to inclusion and equality, then join us at Nokia and make a positive impact on the world through technology.,

As an AI Coach, you will be responsible for staying at the forefront of AI research and applying the latest techniques in deep learning, computer vision, and NLP. Your role will involve designing and delivering AI-focused training programs, workshops, and courses for employees at all levels. You will develop learning paths tailored to different roles to enhance AI literacy and skills. Additionally, you will provide hands-on coaching for teams adopting AI tools and technologies in their workflows. Your key responsibilities include defining and executing the AI strategy roadmap, guiding employees in implementing AI solutions for real-world challenges, and offering personalized feedback and support for continuous improvement. You will collaborate with department heads to identify AI skill gaps and align training initiatives with organizational goals. Working closely with technical teams, you will provide insights into AI adoption and best practices. In terms of content creation, you will develop engaging learning materials such as e-learning modules, case studies, and AI application guides. You will also create knowledge repositories and documentation for self-paced learning. Monitoring the performance of AI training programs is crucial, and you will be responsible for assessing their effectiveness and refining them based on feedback and outcomes. Tracking employee progress and providing actionable recommendations for improvement will be part of your role. As an AI Coach, you will act as a champion for AI adoption within the organization, fostering a culture of innovation. It is essential to stay updated on AI trends, tools, and technologies and share relevant knowledge with employees. The position requires a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent experience. You should have at least 5 years of experience working in AI, machine learning, or related technologies, along with a proven track record of delivering training programs or coaching in a corporate environment. Strong understanding of LLMs, AI tools, frameworks (e.g., TensorFlow, PyTorch), and applications is necessary. Excellent communication, presentation, and interpersonal skills are also required. Preferred qualifications include a Master's degree in a related field, experience with e-learning platforms and instructional design, knowledge of AI ethics, responsible AI practices, and emerging AI trends, as well as certification in AI or machine learning (e.g., Google AI, AWS AI, or equivalent).,

As the Lead AI Architect, you will be responsible for leading the design, development, and deployment of robust AI and Generative AI systems that can scale efficiently for high-traffic applications. Your role will involve architecting scalable and fault-tolerant AI systems, optimizing for performance during peak load times and user growth. With at least 7 years of experience in AI system architecture, you will leverage your strong background in designing and deploying large-scale AI and Gen AI systems. Your proven expertise in architecting systems for high availability and scalability, including managing applications with peak usage and millions of users, will be key to your success in this role. You will demonstrate extensive experience with cloud platforms such as AWS, Azure, and GCP, and excel in scaling AI applications using cloud-native tools and services. Proficiency in AI/ML algorithms, deep learning, and the deployment of AI models in production environments is essential. Your strong coding skills in Python, TensorFlow, PyTorch, and other relevant AI technologies will be instrumental in your day-to-day tasks. Experience with distributed systems, microservices architecture, and containerization technologies like Docker and Kubernetes will also be beneficial. In this role, your problem-solving skills will be put to the test as you troubleshoot complex scaling issues under high-load conditions. Your proven ability to lead teams, collaborate with stakeholders, and deliver AI-driven solutions will be crucial in meeting project objectives. Ideally, you will hold a Masters or PhD in Computer Science, AI, or a related field to complement your practical experience in the field. Join us in Gurgaon or Bangalore and be part of a dynamic team that is at the forefront of cutting-edge AI technology.,

The project involves the development of an AI-based door control system that utilizes computer vision and deep learning technologies to manage boardings and exits through real-time video analysis. This system aims to detect individuals and objects in doorways, replacing traditional sensors with a single AI-powered solution. The project includes the implementation of deep learning models for people and object recognition, movement analysis, real-time processing, decision-making, and logging. The system must process video data on the edge, requiring models optimized for embedded deployment while ensuring detection accuracy and speed. It should function reliably under varying lighting conditions and handle complex scenarios such as multiple passengers, carried objects, and potential obstructions while adhering to strict safety standards. Task Descriptions: Task 1: Data Analysis and Annotation - Categorize data for analysis - Annotate data for training and validation purposes Task 2: Model Evaluation and Performance Analysis - Conduct comprehensive testing to generate detailed daily performance reports - Analyze and document detection failures and performance issues - Develop recommendations for model improvements based on observed failure patterns Task 3: Model Enhancement and Optimization - Prepare data for model training - Develop and optimize deep learning models Task 4: Extended Vision Capabilities - Enhance the system's vision capabilities for improved performance Required Skillset: - Strong expertise in computer vision and deep learning, particularly with PyTorch / TensorFlow and object detection models - Experience in data annotation, preparation, and validation for computer vision applications - Proficiency in model optimization, testing, and deployment on edge devices - Familiarity with MLOps tools such as AWS Sage Maker, DVC, and version control systems Input: - Existing labeled dataset from current deployments - New video data from existing installations - Current model architecture and weights - System performance requirements and specifications,

Year of experience :- 5years to 11years Location :- Pune, Hyderabad Work Mode- Hybrid Job Description Primary Skills Data Science, Python, Machine Learning Mandatory Skills Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills Python, NLP, LLMs, Data Science Must-Have Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts

If Interested, Kindly share your resume at deepshikha@symbiosisindia.net Role & responsibilities Job Description: An Edge AI Specialist is responsible for designing, developing, and optimizing AI models and systems to operate efficiently on edge devices. This role combines expertise in artificial intelligence, machine learning, and edge computing to deploy intelligent solutions in low-latency, resource-constrained environments Key Responsibilities: Design and train AI/ML models tailored for edge environments. Optimize AI algorithms for low power consumption and minimal memory usage without compromising performance Deploy and test AI models on edge devices Deploy and monitor AI applications in real-world edge environments, ensuring reliability and robustness. Troubleshoot and resolve issues related to latency, security, and resource utilization. Ensure compliance with industry standards and best practices for AI and edge computing. Preferred candidate profile - Required Skills and Qualifications Coding : Python, C/C++ Technology : Deep learning (Advanced- CNN/LSTM/Transformer- Capable to develop , retrain), GenAI, Computer Vision , Edge AI stack ( QNN , SNPE , Onnx ) , Edge AI deployement , Model conversion and optimization suitable for edge Hardware platforms : ARM based SOC like Qualcomm SA8295 , GPU/ NPU/AI accelerators Deep learning Framework : Tensorflow, Pytorch, Strong understanding of software development lifecycle (SDLC) and Agile methodologies. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Skills Knowledge on AI Model optimizations embedded hardware Linux/QNX/Android work experience Databricks , MLOps Expereince in automative domain Audio /video frameworks on Linux/QNX/Android

The candidates selected are to teach undergraduate and postgraduate courses in computer sciences or similar branches, supervise UG/PG/PhD students in their projects/thesis both in the lab and as a co-curricular activity, as well as participate in building linkages and driving cooperation with industry. Functional Area Teaching Essential Qualification PhD in Computer Science/IT Domain with Strong Emphasis on Artificial Intelligence, Machine and Deep Learning Techniques, Software Engineering Desired Qualification Required Skills Knowledge about Data Analytics Tools, Sound Knowledge of Python and R Programming Salary Details As Per SRMIST Norms

We are looking for a Machine Learning Engineer with strong expertise in developing, deploying, and optimizing machine learning models. The ideal candidate will have hands-on experience with deep learning libraries, API development, and modern optimization algorithms. You will work closely with data scientists and engineers to design scalable ML solutions that solve real-world business problems. Key Responsibilities Design, build, and train machine learning models using TensorFlow and Keras . Implement and optimize algorithms, with strong focus on stochastic gradient descent (SGD) . Apply and fine-tune advanced optimization models such as Adagrad, Adam, and RMSProp . Perform data preprocessing, transformation, and analysis using NumPy and Pandas . Develop and expose ML models as APIs using FastAPI . Collaborate with cross-functional teams to integrate ML solutions into production systems. Test, validate, and monitor deployed ML models to ensure performance and accuracy. Use tools like Postman for API testing and validation.