1435 Deep Learning Jobs - Page 36

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 : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement algorithms for various AI applications. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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 : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the overall success of projects and drive advancements in AI technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals and assist in their development.- Continuously evaluate and improve existing AI models and systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 15 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgeminis activity. Is able to manage difficult and complex situations calmly and professionally. Considers the bigger picture when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Data Scientist Experience: 3-18yrs Skills: Data Science, Machine Learning, Python, SQL Location: Chennai Contact: Ranjani 6383842191/talenthr.istarbs@gmail.com

Responsibilities: 1. Assist in developing and fine-tuning (LLMs) using deep learning frameworks 2. Work on model training, evaluation, and optimization 3. Support data preprocessing, augmentation, and pipeline setup for large-scale datasets

I am seeking an AI expert who can train the software professional on Machine learning, NLP concepts, and Deep learning frameworks. (Virtual, or hybrid) Required Candidate profile Candidates should have worked with Deep Learning Frameworks, Machine Learning Operations, NLP

We are seeking an experienced and hands-on Senior Data Scientist with expertise in Generative AI and/or Classical Machine Learning to join our growing AI team. In this role, you will lead the design and development of data-driven solutions , ranging from traditional ML models to cutting-edge GenAI applications that solve real business problems. Key Responsibilities: Develop, validate, and deploy ML models for prediction, classification, recommendation, and other business use cases. Design and build GenAI applications using LLMs (e.g., GPT, LLaMA, Claude) for use cases like summarization, Q&A, content generation, document analysis, etc. Collaborate with stakeholders to translate business problems into data science solutions . Perform EDA, feature engineering , and data preprocessing on structured and unstructured data (text, images, documents). Implement model performance monitoring , drift detection, and retraining strategies. Work with MLOps/engineering teams to ensure scalable, production-grade model deployment. Stay up to date with new GenAI and ML research trends and identify opportunities for business impact. Mentor junior data scientists and support peer review of code, model design, and documentation. Required Qualifications: Education: Masters or Bachelor's degree in Computer Science, Data Science, Statistics, or related field. Experience: 58 years of professional experience in data science , with proven delivery of ML/AI models in production. Technical Skills: Strong programming skills in Python and use of libraries such as Pandas, Scikit-learn, NumPy, TensorFlow, PyTorch. Experience building and fine-tuning ML models for regression, classification, clustering, or time-series forecasting. Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI API, RAG pipelines). Exposure to text embeddings, prompt engineering, vector databases (e.g., FAISS, Pinecone, Chroma). Proficient in using SQL and working with large datasets. Familiarity with model deployment tools and practices (Docker, FastAPI, MLflow, Streamlit, or similar). Experience with cloud platforms (AWS, Azure, or GCP) is a strong plus. Preferred Skills: Experience with NLP, Computer Vision , or time-series modeling . Exposure to MLOps workflows (CI/CD, monitoring, pipeline automation). Familiarity with vector search, RAG architecture , and document intelligence workflows. Previous experience in domains like BFSI, healthcare, retail, or enterprise automation is a plus. Key Attributes: Strong business acumen and stakeholder communication. Ability to balance research mindset with production-readiness . Passion for innovation, continuous learning, and cross-functional collaboration. Team player with mentoring and leadership qualities.

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL. Python, Data Science, ML, DL, NLP, Power Bi

Job Title : Engineering Manager Location : HSR Layout, Bangalore Employment Type : Full-Time Key Responsibilities : - Oversee the use of deep learning algorithms for a range of applications, such as CNNs, RNNs, and Transformers. - Effectively coordinate cross-functional teams while overseeing the AI project lifecycle from inception to delivery. - Lead the creation, advancement, and implementation of cutting-edge AI technologies, making sure they complement corporate objectives. - Mentor junior team members to foster growth and ensure quality deliverables. Requirements : - Proven experience in managing AI projects and leading technical teams. - Strong knowledge of deep learning architectures, particularly CNNs and Transformers. - Experience in team leadership, mentoring, and fostering a positive work culture. Technical Skills : - Experience in people management - Expertise in data processing, ML systems, MLOps, and infrastructure - 5+ years with cloud tech , DevOps/MLOps. - Strong skills in Python, SQL, and data modeling (DBT is a plus) - Familiar with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras - Experience leading engineering teams in ML adoption Preferred Skills : - Strong project management skills, with experience in Agile methodologies. - Excellent communication and collaboration abilities across technical and non-technical teams. - Contributions to open-source AI projects or a portfolio demonstrating impactful work. What We Offer : - A chance to work on groundbreaking GenAI projects in a fast-paced startup environment. - A supportive and innovative team culture that encourages learning and collaboration.

We are looking for Indias top 1% Machine Learning Engineers for a unique job opportunity to work with the industry leaders Who can be a part of the community? We are looking for top-tier Machine Learning Engineers with expertise in building, deploying, and optimizing AI models If you have experience in this field then this is your chance to collaborate with industry leaders Whats in it for you? Pay above market standards The role is going to be contract based with project timelines from 2-6 months, or freelancing Be a part of Elite Community of professionals who can solve complex AI challenges Responsibilities: Design, optimize, and deploy machine learning models; implement feature engineering and scaling pipelines Use deep learning frameworks (TensorFlow, PyTorch) and manage models in production (Docker, Kubernetes) Automate workflows, ensure model versioning, logging, and real-time monitoring; comply with security and regulations Work with large-scale data, develop feature stores, and implement CI/CD pipelines for model retraining and performance tracking Required Skills: Proficiency in machine learning, deep learning, and data engineering (Spark, Kafka) Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX), and cloud platforms (AWS, GCP, Azure) Strong knowledge of model deployment, monitoring, security, compliance, and responsible AI practices Nice to Have: Experience with A/B testing, Bayesian optimization, and hyperparameter tuning Familiarity with multi-cloud ML deployments and generative AI technologies (LLM fine-tuning, FAISS). Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

Responsibilities: * Develop curriculum for AR/VR courses * Conduct research on emerging technologies * Maintain up-to-date knowledge of industry trends * Collaborate with IT department on equipment integration

Key Responsibilities: Annotate and evaluate AI-generated research content in the field of AI, machine learning, and related domains Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems Develop novel algorithms and models for AI-driven applications across various domains Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products Required Qualifications: Strong background in machine learning, deep learning, reinforcement learning, or natural language processing Proven track record of original research, including publications in leading AI conferences or journals Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e g, TensorFlow, PyTorch) Ability to think critically and creatively to address complex AI challenges Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

We are hiring for Director Data Scientist for one of our leading client - Sigmoid in Bengaluru. Roles and Responsibilities : • Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. • Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of hands-on contribution, technical team management, and client interaction. • Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights • Contribute to internal product development initiatives related to data science. • Drive excellent project management required to deliver complex projects, including effort/time estimation. • Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy • Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects • Manage the team-members, to ensure that the project plan is being adhered to over the course of the project • Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Mandated Skills: • A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject • 14+ years of hands-on experience in applied Machine Learning, AI and analytics • Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) • Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. • Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas • Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Desired Skills: Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. Comfortable with large scale data processing and distributed computing Providing required inputs to sales, and pre-sales activities A self-starter who can work well with minimal guidance Excellent written and verbal communication skills If interested, kindly share your profile to sukssidha@techtales.in

Very Urgent: AI Specialist Company: AurumData Solutions Location: Hyderabad Experience: 5-10Years Work type: Work From Office AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your CVs to Madhavi@aurumdatasolutions.com

About the job: Key responsibilities: 1. Write reusable, testable, and efficient code 2. Design and implement low-latency, high-availability, and performant applications 3. Integrate user-facing elements developed by front-end developers with server-side logic 4. Implement security and data protection 5. Integrate data storage solutions 6. Work on performance tuning, improvement, balancing, usability, and automation 7. Work collaboratively with the design team to understand end-user requirements to provide technical solutions and for the implementation of new software features Friday, it is compulsory to attend the company. Based on the requirement, it may be compulsory to attend the company on regular days. Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 2,00,000 - 2,50,000 /year Experience: 0 year(s) Deadline: 2025-07-02 23:59:59 Skills required: Negotiation, Python, Data Structures, Data Analytics, Machine Learning, Problem Solving, GitHub, Computer Vision, Data Science, Neural Networks, REST API, English Proficiency (Spoken), English Proficiency (Written), Natural Language Processing (NLP), Deep Learning, Tableau, Big Data Analytics, Research and Analytics and Data Analysis About Company: We provide application solutions and development needs to clients. We offer business solutions for computing and creative excellence and deliver innovative and cost-effective solutions with ethics. Our experienced and committed team, with its strong focus on technology, is the backbone of our company in delivering the synergy of creative solutions. We design, develop, and deliver cost-effective and high-quality software applications. We provide e-commerce, retail, manufacturing, and many other services. We work on political campaigning with transparency. Megaminds IT Services (now Megaminds IT & Job Consultancy Services) has started job consultancy services too.

Architecting scalable, end-to-end machine learning systems that solve complex business problems. Strong knowledge on data structures, algorithms, and system design and selection of appropriate models, frameworks, and deployment strategies. Required Candidate profile Minimum 5 years in ML. Skilled in Python, NLP (BERT, Transformers).Experience in leveraging Computer Vision and OCR in document extraction use cases

Responsibilities: Teach computer science engineering which also includes AI, ML & Data science concepts using Python/Java/C++/R Collaborate with industry partners on project development Publish research papers in reputed conferences/journals

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL. Python, Data Science, ML, DL, NLP, Power Bi

Eightfold was founded with a vision to solve for employment in our society. For decades, the connection between individuals and opportunities has been based on who the individuals are and the strength of their network, vs. their potential. Eightfold leverages artificial intelligence to transform how to think about skills and capabilities for individuals as well as how jobs and career decisions are made. Eightfold offers the industry s first AI-powered Talent Intelligence Platform to transform how organizations plan, hire, develop and retain a diverse workforce, enabling individuals to transform their careers. To date, Eightfold AI has received more than $410 million in funding and a valuation of over $2B from leading investors to further our mission of finding the right career for everyone in the world. If you are passionate about solving one of the most fundamental challenges of our society - employment, working on hard business problems, and being part of an amazing growth story - Eightfold is the place to be! You may want to refer to the media coverage on TechCrunch and Reuters. Eightfold.ai is led by Ashutosh Garg, a PhD in Machine Learning/IIT Delhi alumni who managed Search and Personalization at Google, and Varun Kacholia- IIT Bombay alumni, who led the News Feed Ranking team at Facebook and developed YouTube Search at Google. Our customers- https: / / eightfold.ai / customers / customer-stories / Press - https: / / eightfold.ai / about / press / About Team - Our AI/ML team is the driving force behind Eightfolds cutting-edge solutions. Were a group of passionate experts who thrive on pushing the boundaries of applied machine learning. We work with massive datasets, tackle complex challenges, and collaborate to create AI models that are transforming the way companies approach talent management. At Eightfold, we re transforming how the world hires and grows talent through AI. We re looking for a Lead Data Scientist to build scalable ML models, drive fairness in AI, and solve complex, real-world problems using diverse datasets. What You ll Do: Build and deploy machine learning models that deliver business impact. Develop frameworks to monitor and ensure fairness in our AI systems. Analyze large, complex datasets to uncover insights and power product decisions. Collaborate with cross-functional teams to translate models into production. Push the boundaries of applied ML and Responsible AI. What You Bring: 5+ years in Data Science roles (Senior/Lead level preferred). Strong foundation in ML, deep learning, and statistical inference. Experience with Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow). Proven work with ML interpretability and fair AI practices. Strong communication and a bias for ownership and impact. Hybrid Work @ Eightfold: We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.

Skills and requirements Proficiency in Python and experience with libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization. Understanding of core machine learning algorithms, including linear/logistic regression, decision trees, random forests, SVM, KNN, K-Means, and neural networks. Experience with ML frameworks such as Scikit-learn, TensorFlow, and PyTorch for building and training models. Ability to preprocess data, including handling missing values, normalization, encoding categorical variables, and feature engineering. Knowledge of model evaluation techniques such as accuracy, precision, recall, F1-score, confusion matrix, and cross-validation. Mathematical foundation in linear algebra, probability, statistics, and basic calculus to understand and fine-tune models. Version control skills using Git/GitHub and familiarity with Jupyter Notebooks or similar development environments. Basic understanding of deep learning, computer vision, or NLP concepts (optional but preferred). Please attach your CV Upload File Here (Max. file size: 2 MB) By using this form you agree with the storage and handling of your data by this website. *

Job Title: Data Scientist Job Location: Gurgaon Educational Qualification B.E / B.Tech with Minimum 60 % marks BSC Mathematics/ Data science Experience: 4-7 Years Responsibilities: Design data-driven solutions to address business challenges. Acquire specialized knowledge in the automotive domain relevant to the problem at hand, seeking expertise from domain specialists as needed. Gain proficiency in the vehicle s IoT device, specifically the Telematics Control Unit. Develop a comprehensive understanding of Time-Series Data. Clean, prepare, and manage datasets for modelling, engaging in the ETL process when necessary. Conduct data exploration to extract insights, present findings to domain experts, identify patterns, seasonality, trends, and causality, and collaborate with domain experts to formulate and test hypotheses. Devise and refine features, evaluate their significance, and determine the machine learning strategy. Engage in data modelling, select suitable machine learning or deep learning algorithms, establish data pipelines for training, perform hyper-parameter optimization, and conduct validation and testing. Implement ensemble techniques if beneficial. Interpret and visualize data through reports and graphical plots. Provide guidance and mentorship to junior data science professionals. Technical Skills / Experience Essential Qualifications: A minimum of 4 years of industry experience in data science. Proficiency in Python programming with experience in pandas , NumPy , matplotlib , and sklearn libraries. Competence in statistical analysis , including descriptive, inferential statistics, and hypothesis testing. Practical experience in mathematical modelling and a variety of machine learning techniques, such as: o Generalized Linear Models (GLM), Boosting Algorithms, Decision Trees, Neural Networks, Support Vector Machines (SVM), and Bayesian Methods. o Econometric analysis. o Deep Learning models including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRUs). o Unsupervised learning algorithms and image classification using computer vision. Proven track record of successful model deployment. Desirable Qualifications: Experience with accident simulation tools such as PC crash or OPENPass . Familiarity with time-series and IoT data analytics. Familiarity with LLMs Knowledge of automotive systems, vehicle fundamentals, and Controller Area Network (CAN) protocol

The people here at Apple don t just build products they craft the kind of wonder that has revolutionized entire industries. It s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Imagine what you could do here. Join Apple, and help us leave the world better than we found it. A job at Apple is unlike any other you ve had. You will be challenged. You will inspired. And you ll be proud! At Apple, phenomenal ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish!We are seeking a highly motivated and innovative AI/ML Engineer to join our EMC Design Engineering team. The ideal candidate will bring a deep understanding of machine learning, especially in the area of Generative AI, and apply these skills to real-world challenges in electromagnetic compatibility (EMC) validation, testing, and automation. You will be part of a forward-thinking team working on transformative projects that span multiple Lines of Business (LoB), collaborating with cross-functional teams to develop, optimise, and integrate generative AI/ML solutions to support EMC design and test automation. At Apple, great ideas quickly turn into great products, services, and customer experiences. Join us and help drive groundbreaking innovation that impacts billions of users. Description You ll collaborate with EMC and other cross-functional teams to develop AI-driven workflows for EMC testing and design optimization. This includes building, fine-tuning, and deploying Generative AI models (such as LLMs, VLMs, and diffusion models), integrating them into existing EMC pipelines, and improving productivity through automation.- Design, develop, and optimize Generative AI/ML models to improve EMC validation workflows.- Collaborate across teams to validate and enhance the performance of AI/ML models.- Automate complex EMC test procedures using custom-built ML tools and algorithms.- Maintain, evaluate, and iterate on existing ML pipelines and models.- Generate comprehensive performance analysis and validation reports.- Coordinate with cross-functional teams to deploy ML solutions at scale. Bachelor s in Computer Science or related field 5+ years of hands-on experience in AI/ML software development, with a strong focus on Generative AI. Strong programming skills in Python and C++ Solid experience with deep learning frameworks such as PyTorch, TensorFlow, sklearn, or similar. Experience in machine learning, deep learning or a related field Expertise in model training, fine-tuning, and deployment Preferred Qualifications Experience working with foundation models, LLMs, multimodal models, and large-scale model optimization. Strong and validated experience in ML development and production systems Strong industry background and experience in search and related technologies (LLMs, Machine Learning, NLP, Information Retrieval, Question Answering) Masters with 5+ years of working experience in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field Strong analytical thinking and problem-solving skills. Excellent written and verbal communication skills. Ability to work across time zones and manage multiple project timelines.

Job Summary: We are seeking a highly skilled Data Scientist with deep expertise in Computer Vision, particularly with YOLO (You Only Look Once) object detection models. The ideal candidate will have experience in designing, training, and deploying YOLO-based solutions for real-time or near real-time applications. You will collaborate with cross-functional teams to develop AI models that drive innovation and efficiency across our products and platforms. Key Responsibilities: Develop and deploy state-of-the-art object detection models using YOLO (v5/v6/v7/v8). Design and execute computer vision experiments for image and video analysis, including detection, tracking, and classification. Collect, preprocess, and annotate image and video datasets tailored for computer vision tasks. Optimize model performance for deployment on edge devices, cloud services, or embedded systems. Work closely with data engineers and MLOps teams to integrate models into production pipelines. Continuously evaluate and improve models using techniques such as transfer learning, pruning, quantization, and A/B testing. Stay updated with the latest research and advancements in computer vision and deep learning. Required Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Electrical Engineering, or related field (PhD preferred). 5+ years of experience in computer vision, with a focus on object detection. Proven hands-on experience with YOLO (v5 or later), including custom training and deployment. Proficient in Python and deep learning libraries such as PyTorch, TensorFlow, or OpenCV. Experience working with GPU acceleration and cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, GCP AI Platform). Strong understanding of CNNs, image augmentation, model evaluation metrics, and visual debugging.

Job Responsibilities: Build and deploy GenAI Models with techniques such as RAG and Fine Tuning. Developing AI/ML algorithms to analyze huge volumes of historical data to make predictions and recommendations. Implement and optimize deep learning models for generative tasks such as image synthesis, voice etc Collaborate with software engineers to integrate Generative AI models into production systems Should be able evaluate the application cases and problem-solving potential of AI/ML algorithms and rank them according to success likelihood. Should be able to comprehend data through exploration and visualization, spot discrepancies in data distribution Should be able to work on structured as well as unstructured data Should be able to develop various algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production Should be able to leverage cloud platforms for training and deploying large scale solutions (AWS Preferred) Should have working knowledge on managing ModelOps framework Should understand CI/CD processes in product deployment and used it in delivery. Should be able to collaborate with data engineers to build data and model pipelines and maintain accuracy Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool Competencies / Skills Understanding of AI/ML frameworks,LLM libraries, data structures, data modeling, and software architecture. Proficiency with a deep learning framework such as TensorFlow, Keras, NLP and text analytics and ML algorithms like clustering, regression, classification etc Proficiency with Python and basic libraries for machine learning such as scikit-learn, pandas Experience working with recommendation engines, data pipelines and distributed machine learning Ability to select hardware to run an ML model with the required latency Knowledge of cloud platforms (AWS, Azure and GCP) Great communication and collaboration skills.