1973 Preprocessing Jobs - Page 28

Paid AI Engineer Intern Location: Ahmedabad, India (On-site) Employment Type: Part-time Internship (with strong potential for full-time conversion) About Cleardeals: At Cleardeals, we're revolutionizing the real estate landscape through technology. We believe in leveraging innovation to create seamless and efficient experiences for buyers and sellers. As we continue to grow and expand our impact, we're now embarking on an exciting journey to integrate Artificial Intelligence into the core of our operations and offerings. About the Role: We are seeking an exceptionally motivated and bright AI Engineer Intern to work directly alongside our Founder and CEO. This is a unique, hands-on opportunity for an "AI nerd" to be instrumental in shaping the future of AI applications in the real estate industry at Cleardeals. You won't just be an intern; you'll be the Founder's right hand, driving real-world AI initiatives from conception to execution. This is a part-time position designed for individuals ready to make a significant impact, with a clear pathway to a full-time role based on commitment and impactful contributions. What You'll Do: Research & Ideation: Dive deep into the potential of AI within the real estate sector. Identify pain points and opportunities where AI can drive efficiency, enhance user experience, and create new value propositions. Proof-of-Concept Development: Build, prototype, and experiment with AI models and algorithms. This could involve anything from predictive analytics for property valuation to intelligent automation for lead generation or customer interaction. Automation Building: Design and implement AI-powered automations to streamline internal processes or enhance external services for our customers. Data Exploration: Work with real-world real estate data, performing cleaning, preprocessing, and feature engineering to prepare it for AI model training. Collaboration: Work closely with the Founder to translate high-level vision into actionable AI projects, contributing ideas and insights. Execution: See your research and prototypes come to life as you help deploy and refine AI solutions within our platform. What We're Looking For: Education: Currently pursuing or recently completed a B.Tech in Computer Engineering (CE). AI Enthusiasm: A genuine, demonstrable passion for Artificial Intelligence and Machine Learning. You live and breathe AI. Programming Skills: Solid proficiency in Python, including relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Foundational Knowledge: Understanding of core AI/ML concepts, algorithms, and techniques (e.g., supervised/unsupervised learning, neural networks, NLP, computer vision basics). Problem-Solving: Strong analytical and critical thinking skills with an ability to break down complex problems and devise creative AI solutions. Initiative & Proactiveness: Eagerness to take ownership, learn quickly, and contribute actively without constant supervision. Communication: Clear and concise communication skills to articulate technical concepts and progress. On-site Commitment: Willingness to work from our office in Ahmedabad. Why Join Cleardeals? Direct Impact: Work directly with the Founder and see your contributions shape a growing company's AI strategy. Real-World Experience: Gain invaluable hands-on experience by building and deploying AI solutions for a tangible industry. Mentorship: Receive direct mentorship and guidance from an experienced founder. Growth Potential: A clearly defined path for a full-time role upon successful completion of the internship. Innovative Environment: Be part of a dynamic team at the forefront of AI adoption in real estate. Paid Internship: Competitive stipend for your valuable contributions. If you are an "AI nerd" ready to roll up your sleeves and make a significant impact in the exciting intersection of AI and Real Estate, we want to hear from you!

Role : Associate Architect - Machine Learning (Gen AI) Experience : 6 to 8 Years Location : Bangalore / Mumbai (Hybrid) Job Summary: We are looking for an experienced Associate Architect - Machine Learning to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention. Roles and Responsibilities: Agentic AI Development : Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes LLM Fine-Tuning : Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency. Prompt Engineering : Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements. AI Workflow Automation : Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments. Collaboration with Cross-functional Teams : Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions. Research & Development : Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology. Scaling and Deployment : Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments. Documentation & Reporting : Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders. Skill Set Required: Experience : Minimum 5+ years of hands-on experience in machine learning and AI engineering. Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar. Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. Strong experience in prompt engineering to optimize AI models performance. Technical Skills : Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar. Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models. Experience with NLP tasks, such as text classification, text generation, summarization, and question answering. Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks. Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git). Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities to collaborate with stakeholders. Ability to work independently and drive projects to completion with minimal supervision. Preferred Skills & Qualifications: Experience in deploying AI models at scale in production environments. Expertise in large-scale data processing, optimization techniques, and model deployment.

Role : Senior Machine Learning Engineer (GenAI) Required Experience : 3 to 6 years Location : Mumbai / Bangalore / Trivandrum (hybrid) Job Summary: We are looking for experienced Machine Learning Engineers to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention. Roles & Responsibilities: Agentic AI Development: Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes LLM Fine-Tuning: Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency. Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements. AI Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments. Collaboration with Cross-functional Teams: Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions. Research & Development: Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology. Scaling and Deployment: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments. Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders. Required Skills & Qualifications: Experience: 3+ years of hands-on experience in machine learning and AI engineering. Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar. Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. Strong experience in prompt engineering to optimize AI models performance. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar. Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models. Experience with NLP tasks, such as text classification, text generation, summarization, and question answering. Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks. Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git). Soft Skills: Strong problem-solving and analytical skills. Excellent communication and teamwork abilities to collaborate with stakeholders. Ability to work independently and drive projects to completion with minimal supervision. Good to Have Skills: Experience in deploying AI models at scale in production environments. Expertise in large-scale data processing, optimization techniques, and model deployment.

Job Title : Machine Learning Engineer (NLP & Graph Analytics) Company Overview FWS is at the forefront of innovation in AI and ML .We are dedicated to solving complex challenges and creating impactful solutions through the power of artificial intelligence and machine learning. Our team is composed of passionate and driven experts who are committed to pushing the boundaries of what's possible. We are currently seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team and contribute to our next generation of intelligent products. Job Summary We are looking for an experienced Machine Learning Engineer with a strong background in building and deploying sophisticated machine learning models. The ideal candidate will have a proven track record of working with diverse datasets, a deep understanding of natural language processing (NLP), and hands-on experience with state-of-the-art deep learning frameworks. In this role, you will be responsible for the entire lifecycle of machine learning model development, from data acquisition and preprocessingincluding JSON extraction and graph database modeling with Neo4jto training, evaluation, and deployment via APIs. You will work with cutting-edge technologies, including Stanford NLP and large language models like Llama 3.2, to develop innovative solutions that drive our business forward. Key Responsibilities ML Model Development & Optimization : Design, develop, and implement robust machine learning models using Python and its associated libraries. You will be responsible for the end-to-end model lifecycle, including data preprocessing, feature engineering, model training, and performance evaluation. Deep Learning & NLP Utilize your expertise in deep learning with PyTorch to build and fine-tune complex neural networks. A key focus will be on Natural Language Processing (NLP) tasks, leveraging the Stanford NLP library for tasks such as sentiment analysis, named entity recognition, and coreference resolution. Large Language Models (LLMs) Stay at the forefront of AI by working with and fine-tuning large language models, specifically Llama 3.2. You will explore and implement its capabilities for tasks such as text generation, summarization, and question answering. Data Engineering & Analytics Conduct in-depth data analysis and handle complex data pipelines. This includes robust JSON extraction, transformation of semi-structured data, and modeling complex relationships using graph databases like Neo4j to build knowledge graphs that feed our ML systems. API Development & Deployment Develop and maintain scalable RESTful APIs to serve machine learning models in a production environment. Collaborate with our engineering teams to ensure seamless integration and contribute to our MLOps practices for scalability and reliability. Research & Innovation Stay current with the latest advancements in machine learning, deep learning, and NLP. Proactively identify and champion new technologies and techniques that can enhance our products and processes. Qualifications And Skills Educational Background : A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Bachelor's degree with significant relevant experience will also be considered. Programming Proficiency : Expert-level programming skills in Python and a strong command of its data science and machine learning ecosystem (e.g., Pandas, NumPy, Scikit-learn). Deep Learning Expertise : Proven experience in building and deploying deep learning models using PyTorch. Natural Language Processing (NLP) : Demonstrable experience with NLP techniques and libraries, with specific expertise in using the Stanford NLP toolkit. Large Language Models (LLMs) : Hands-on experience with and a strong understanding of large language models, including practical experience with models like Llama 3.2. Data Handling : Strong proficiency in handling and parsing various data formats, with specific experience in JSON extraction and manipulation. API Development : Solid experience in developing and deploying models via RESTful APIs using frameworks like Flask, FastAPI, or Django. Graph Database Knowledge : Experience with graph databases, particularly Neo4j, and understanding of graph data modeling and querying (Cypher). Problem-Solving Skills : Excellent analytical and problem-solving abilities with a talent for tackling complex and ambiguous challenges. Preferred Qualifications Published research in top-tier machine learning or NLP conferences. Experience with MLOps tools and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with other NLP libraries and frameworks (e.g., spaCy, Hugging Face Transformers). Contributions to open-source machine learning projects. (ref:hirist.tech)

We run a recruitment agency and help our clients hire top 1% talent. Our client seeks Data Scientists to write, review, and validate prompt-based questions designed to train AI. Overview 💲 Pay – $55–$75 per hour 🕒 Flexible workload : 10–20 hours per week, with potential to increase to 40 hours 🌍 Fully remote and asynchronous — work on your schedule 📅 Minimum duration : 1–2 months, with potential for extension Your expertise in statistical modeling , machine learning , data pipelines , and analytical reasoning will ensure that each prompt and response is technically sound and reflects industry best practices. We welcome tech, healthcare, finance, and research professionals to contribute to AI training content rooted in real-world data challenges. You'll help shape how advanced AI systems understand and solve data science problems. You are a good fit if you: Have over 3+ years of professional experience in data science or applied analytics Hold a bachelor's degree in data science, statistics, computer science, or a related field Demonstrate excellent verbal and written communication skills Have strong attention to detail and analytical reasoning Strong knowledge in one or more of: Exploratory data analysis and statistical inference Machine learning workflows and model evaluation Data preprocessing / wrangling / feature engineering A/B testing, experimentation, or causal inference Preferred Qualifications Experience with Python, SQL, Jupyter, scikit-learn, pandas, TensorFlow/PyTorch

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. A typical day involves collaborating with various stakeholders to gather insights, analyzing user needs, and translating them into functional specifications. You will engage in discussions to refine application designs, ensuring they align with business objectives while also considering user experience and technical feasibility. Your role will require you to balance creativity with analytical thinking, as you work to create solutions that are both innovative and practical. 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. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of various machine learning algorithms and their applications. - Experience with data preprocessing and feature engineering techniques. - Familiarity with programming languages such as Python or R for model development. - Ability to work with data visualization tools to present findings effectively. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning. - This position is based at our Chennai office. - A 15 years full time education is required. 15 years full time education

Gen AI + Python with ML Fresher :- Job Summary: We are seeking curious and motivated freshers or recent graduates to join our team as Gen AI + Python with ML Trainees . This is an entry-level opportunity to gain hands-on experience working on cutting-edge technologies such as Generative AI, Large Language Models (LLMs), Python development , and Machine Learning . You'll work alongside experienced AI engineers and contribute to real-world AI solutions. Key Responsibilities: Learn and apply Generative AI concepts like text generation, embeddings, image generation, prompt engineering, etc. Assist in building, testing, and fine-tuning LLMs (e.g., GPT, BERT, LLaMA) using Python. Write efficient Python code for ML pipelines, model training, and evaluation. Perform data preprocessing, feature engineering, and exploratory data analysis (EDA). Support the development of AI-powered applications using frameworks like LangChain , Hugging Face , or OpenAI APIs . Document model behavior, limitations, and performance metrics. Collaborate in R&D projects to explore and experiment with new GenAI capabilities. Required Skills & Qualifications: Bachelor’s degree in Computer Science, AI, Data Science, Engineering, or related fields . Solid understanding of Python programming and basic data structures. Familiarity with machine learning algorithms (e.g., regression, classification, clustering). Exposure to data science libraries: NumPy, Pandas, Scikit-learn, Matplotlib . Interest in Generative AI , LLMs , and transformer-based architectures . Strong problem-solving attitude and willingness to learn rapidly. Preferred (Not Mandatory): Projects or coursework involving ChatGPT, DALL·E, BERT, GPT-3/4 , etc. Knowledge of NLP , Deep Learning (TensorFlow/Keras/PyTorch) . Experience with APIs like OpenAI, Hugging Face Transformers, Cohere , etc. Familiarity with tools such as Jupyter Notebooks, GitHub, VS Code. Understanding of prompt engineering and tokenization.

Adani Digital Labs is the digital arm of the Adani Group, focused on driving digital transformation across all Adani businesses. The lab leverages cutting-edge technologies such as AI, ML, data analytics, cloud computing, and automation to enhance customer experience, streamline operations, and enable innovation. With a strong emphasis on building scalable digital platforms and customer-centric solutions, Adani Digital Labs plays a pivotal role in shaping the group's digital strategy across sectors like energy, infrastructure, logistics, airports, and more. Job Title: Data Scientist Location Ahmedabad The Opportunity: We’re looking for a talented Data Scientist enthusiast who uses analytical, statistical, and programming skills to collect large data sets & develop data-driven solutions Technical Skills - Language: Python - Proficiency in data mining, mathematics, and statistical analysis - Machine learning techniques and algorithms, with good expertise in optimization - Cloud: GCP (Preferred) /Azure - Data-oriented personality Ideally, you should have: 04 to 06 years of proven experience as a Data Scientist - Identify valuable data sources and automate collection processes - Undertake preprocessing of structured and unstructured data - Analyze large amounts of information to discover trends and patterns - Run optimization algorithms to identify the best solution (Linear Programming expertise required) - Build predictive models and machine-learning algorithms - Combine models through ensemble modeling - Present information using data visualization techniques - Proficiency in Python and Machine Learning. - Experience with Generative AI and Agentic AI models. - Strong analytical mind and business acumen. - Excellent problem-solving aptitude.

Artificial Intelligence & Machine Learning Intern (Remote | 3 Months) Company: INLIGHN TECH Location: Remote Duration: 3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About INLIGHN TECH INLIGHN TECH empowers students and recent graduates through hands-on, project-based internships. Our AI & ML Internship is tailored to develop your expertise in building intelligent systems using real-world datasets and machine learning algorithms. Role Overview As an AI & ML Intern , you’ll work on projects involving model development, data preprocessing, and algorithm implementation. You'll gain practical experience applying artificial intelligence concepts to solve real business problems. Key Responsibilities Collect and preprocess structured and unstructured data Implement supervised and unsupervised machine learning algorithms Work on deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance and tune hyperparameters Develop intelligent solutions and predictive systems Collaborate with peers on AI-driven projects Requirements Pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field Proficient in Python and libraries such as Pandas, NumPy, Scikit-learn Familiar with machine learning and deep learning concepts Knowledge of TensorFlow, Keras, or PyTorch is a plus Strong mathematical and analytical thinking Enthusiastic about AI/ML innovations and eager to learn What You’ll Gain Real-world experience developing AI and ML models Internship Completion Certificate Letter of Recommendation for high-performing interns Portfolio of AI/ML projects for career building Potential full-time offer based on performance

Location: Ahmedabad Work Mode: Work From Office We’re looking for a talented Data Scientist enthusiast who uses analytical, statistical, and programming skills to collect large data sets & develop data-driven solutions. Technical Skills:  Language: Python  Proficiency in data mining, mathematics, and statistical analysis  Machine learning techniques and algorithms, with good expertise in optimization  Cloud: GCP (Preferred) /Azure  Data-oriented personality Ideally, you should have: 04 to 06 years of proven experience as a Data Scientist  Identify valuable data sources and automate collection processes  Undertake preprocessing of structured and unstructured data  Analyze large amounts of information to discover trends and patterns  Run optimization algorithms to identify the best solution (Linear Programming expertise required)  Build predictive models and machine-learning algorithms  Combine models through ensemble modeling  Present information using data visualization techniques  Proficiency in Python and Machine Learning.  Experience with Generative AI and Agentic AI models.  Strong analytical mind and business acumen.  Excellent problem-solving aptitude.  Effective communication and presentation skills.  Knowledge of the Indian power sector will be a definite plus

About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a Remote Senior Software Engineer to join our innovative team and contribute to our cutting-edge projects. Job Responsibilities: Develop and implement advanced language models using transformer architectures. Apply reinforcement learning techniques to improve the performance and efficiency of AI models. Collaborate with AI researchers and data scientists to design and optimize AI solutions. Contribute to the entire model development lifecycle, from research and experimentation to deployment. Troubleshoot and improve existing AI models and architectures for enhanced performance. Stay updated on the latest AI research and technologies, incorporating them into KYFEX's solutions. Write clean, maintainable, and efficient code for various AI projects. Document development processes, model architectures, and evaluation metrics. Minimum Requirements: Bachelor’s degree in Computer Science, Artificial Intelligence, or related field. 5+ years of software engineering experience, with a strong background in AI and machine learning. Proficient in programming languages relevant to AI development, such as Python. Hands-on experience with transformer architectures and language modeling. Demonstrated knowledge and application of reinforcement learning techniques. Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). Experience with deploying AI models in production environments. Strong problem-solving skills and ability to work independently. Preferred Skills: Master’s or Ph.D. in a relevant field. Experience with NLP (Natural Language Processing) and understanding of NLP data preprocessing techniques. Proficiency in working with large-scale datasets and distributed computing technologies. Knowledge of cloud computing platforms (AWS, Google Cloud, or Azure) for AI development and deployment. Excellent communication skills, with the ability to collaborate effectively in a remote team environment. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Engage in challenging and meaningful projects that have a real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with LLMs, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote Senior Software Engineer Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.

Job Title : Sr. Python Developer Job Location : Hyderabad Type : Full : 8+ Period : Immediate to 15 days joiners are highly : Design, develop, and maintain scalable Python applications and AI-powered solutions. Collaborate with cross-functional teams to understand requirements. Create, train, deploy, and optimize machine learning and AI applications. Integrate AI/ML models into production environments with robust error handling, logging, and monitoring. Implement and enhance data preprocessing pipelines, ensuring data quality for training and inference. Conduct research to explore new AI/ML technologies, frameworks, and practices to enable teams. Write clean, testable, and efficient code following best practices for software development. Debug and improve the performance, scalability, and reliability of Python-based applications. Work with cloud platforms, FastAPIs, and databases to develop end-to-end AI : Proficient in Python and its libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, Flask/Django). Hands-on experience with ML algorithms (e.g., supervised and unsupervised learning, reinforcement learning). Knowledge of natural language processing (NLP), computer vision, or deep learning techniques. Familiarity with AI-driven tools and architectures. Solid understanding of data structures, preprocessing techniques, and feature engineering. Experience deploying AI/ML models using frameworks like Docker, Kubernetes, or AWS/GCP/Azure cloud services. (ref:hirist.tech)

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Sr ML Engineer MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Data Scientist II MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Description: GenAI Data Scientist - Senior Associate (PwC US AC) PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. If you are passionate about GenAI technologies and have a proven track record in data science, join PwC US - Acceleration Center and be part of a dynamic team that is shaping the future of GenAI solutions. We offer a collaborative and innovative work environment where you can make a significant impact.

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 4+ years of hands on experience PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

Job Title: Artificial Intelligence Intern Company: ZENO TALENT Location: Remote Duration: 6 Months (3 Months Training + 3 Months Internship) Stipend: Up to ₹15,000 (Performance-based) Start Date: Immediate openings available About the Opportunity: At NEOZENO TALENT LLP, we are committed to shaping the future of artificial intelligence by nurturing aspiring talent. Our 6-month AI/ML Internship Program is a structured pathway designed to empower freshers and early professionals with practical experience, hands-on projects, and direct mentorship from industry experts. Program Highlights: 🔹 Phase 1: Training (3 Months) This training phase focuses on the core concepts and tools required to build intelligent systems: Python Programming for AI Machine Learning Algorithms (Supervised, Unsupervised, Ensemble) Neural Networks & Deep Learning (Basics) Tools: NumPy, Pandas, scikit-learn, TensorFlow, Keras Version Control with Git and GitHub Capstone mini-projects with regular evaluations 🔹 Phase 2: Internship (3 Months) Work on real-world AI/ML use cases under the guidance of experienced mentors. You'll contribute to live projects and develop end-to-end models — from data preprocessing to deployment. Interns during this phase are eligible for a performance-based stipend of up to ₹15,000, based on project contribution and dedication. Roles & Responsibilities: Assist in building and optimizing machine learning models Perform data cleaning, preprocessing, and feature engineering Participate in brainstorming sessions and sprint planning Analyze model performance and suggest improvements Document code, models, and workflows for team use Stay up to date with recent trends in AI/ML Who Can Apply: B.Tech/B.Sc/M.Sc students or graduates in Computer Science, AI/ML, Data Science, or related fields Basic knowledge of Python and Machine Learning Candidates with project experience (even academic) are preferred Those looking to build a strong portfolio or transition into an AI/ML role Career gap candidates and freshers are welcome Certificates Provided: AI/ML Training Completion Certificate (3 months) Internship Completion Certificate (6 months) Capstone project reports and GitHub contributions

Senior AI/ML Engineer Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements Key Responsibilities Develop and optimize machine learning models for various applications. Implement AI algorithms, including deep learning, neural networks, and natural language processing (NLP). Design and maintain data pipelines for model training and deployment. Collaborate with cross-functional teams to integrate AI solutions into products. Conduct research on emerging AI technologies and best practices. Ensure scalability, reliability, and efficiency of AI models in production environments. Troubleshoot and improve existing AI/ML systems. Required Skills & Qualifications - Experience: 3-8 years in AI/ML development. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks. Data Handling: Strong knowledge of data preprocessing, feature engineering, and model evaluation. Cloud & Deployment: Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Problem-Solving: Ability to analyze complex problems and develop AI-driven solutions.

Role Overview We are seeking an innovative and passionate Machine Learning Engineer specializing in Computer Vision to design, develop, and deploy cutting-edge computer vision models and algorithms for real-world robotic applications. In this role, you will work alongside a talented team to leverage state-of-the-art deep learning techniques to solve complex vision problems, from object detection to image segmentation and 3D perception. Your contributions will have a direct impact on shaping the future of intelligent systems in robotics. This position is on-site in Pune and requires immediate availability. Please apply only if you are available to join within one month. Essential Qualifications Educational Background - B.Tech., B.S., or B.E. in CSE, EE, ECE, ME, Data Science, AI, or related fields with ≥ 2 years of hands-on experience in Computer Vision and Machine Learning. - M.S. or M.Tech. in the same disciplines with ≥ 2 years of practical experience in Computer Vision and Python programming. Technical Expertise - Strong experience developing deep learning models and algorithms for computer vision tasks (e.g., object detection, image classification, segmentation, keypoint detection). - Proficiency with Python and ML frameworks such as PyTorch , TensorFlow , or Keras . - Experience with OpenCV for image processing and computer vision pipelines. - Solid understanding of convolutional neural networks (CNNs) and other vision-specific architectures (e.g., YOLO, Mask R-CNN, EfficientNet , etc.). - Ability to build, test, and deploy robust models with PyTest or PyUnit testing frameworks. - Hands-on experience with data augmentation, transformation, and preprocessing techniques for visual data. - Familiarity with version control using Git . Desirable Skills Experience with 3D vision , stereo vision , or depth sensing technologies. Familiarity with ROS2 for integrating vision systems into robotic platforms. Understanding of sensor fusion techniques, including LiDAR, depth cameras, and IMUs. Exposure to MLOps for deploying and maintaining computer vision models in production environments. Knowledge of CMake for building and integrating machine learning and vision-based solutions. Experience working with cloud-based solutions for computer vision, including cloud inference services. Ability to work with CUDA , GPU-accelerated libraries , and distributed computing environments. Location On-site in Pune , India. Immediate availability required. Why Join Us? Shape the future of robotics and AI, focusing on state-of-the-art computer vision applications. Work in a dynamic and collaborative environment with a team of highly motivated engineers. Competitive salary and benefits package, along with performance-based incentives. Opportunities for growth and professional development, including mentorship from industry experts. If you're passionate about combining deep learning and computer vision to build intelligent systems that perceive and interact with the world, we want to hear from you!

We are looking for a talented Python AI/ML Developer with a strong foundation in machine learning, natural language processing, and data science. If you have a passion for building smart, conversational AI systems and want to work on cutting-edge technology, we’d love to hire you! Benefits 5 Days a Week Health Insurance Flexible Timings Open Work Culture Workshops & Webinars Awards & Recognition Festive Celebrations Key Responsibilities Advanced Model Development: Design and implement cutting-edge deep learning models using frameworks like PyTorch and TensorFlow to address specific business challenges. AI Agent and Chatbot Development: Create conversational AI agents capable of delivering seamless, human-like interactions, from foundational models to fine-tuning chatbots tailored to client needs. Retrieval-Augmented Generation (RAG): Develop and optimize RAG models, enhancing AI’s ability to retrieve and synthesize relevant information for accurate responses. Framework Expertise: Leverage LLAMAIndex and LangChain frameworks for building agent-driven applications that interact with large language models (LLMs). Data Infrastructure: Expertise in managing and utilizing data lakes, data warehouses (including Snowflake), and Databricks for large-scale data storage and processing. Machine Learning Operations (MLOps): Manage the full lifecycle of machine learning projects, from data preprocessing and feature engineering through model training, evaluation, and deployment, with a solid understanding of MLOps practices. Data Analysis & Insights: Conduct advanced data analysis to uncover actionable insights and support data-driven strategies across the organization. Cross-Functional Collaboration: Partner with cross-departmental stakeholders to align AI initiatives with business needs, developing scalable AI-driven solutions. Mentorship & Leadership: Guide junior data scientists and engineers, fostering innovation, skill growth, and continuous learning within the team. Research & Innovation: Stay at the forefront of AI and deep learning advancements, experimenting with new techniques to improve model performance and enhance business value. Reporting & Visualization: Develop and present reports, dashboards, and visualizations to effectively communicate findings to both technical and non-technical audiences. Cloud-Based AI Deployment: Utilize AWS Bedrock, including tools like Mistral and Anthropic Claude, to deploy and manage AI models at scale, ensuring optimal performance and reliability. Web Framework Integration: Build and deploy AI-powered applications using web frameworks such as Django and Flask, enabling seamless API integration and scalable backend services. Technical Skills Deep Learning & Machine Learning: Extensive hands-on experience with PyTorch, TensorFlow, and scikit-learn, along with large-scale data processing. Programming & Data Engineering: Strong programming skills in Python or R, with knowledge of big data technologies such as Hadoop, Spark, and advanced SQL. Data Infrastructure: Proficiency in managing and utilising data lakes, data warehouses, and Databricks for large-scale data processing and storage. MLOps & Data Handling: Familiar with MLOps and experienced in data handling tools like pandas and dask for efficient data manipulation. Cloud Computing: Advanced understanding of cloud platforms, especially AWS, for scalable AI/ML model deployment. AWS Bedrock: Expertise in deploying models on AWS Bedrock, with tools such as Mistral and Anthropic Claude. AI Frameworks: Skilled in LLAMAIndex and LangChain, with practical experience in agent-based applications. Data Visualization: Proficient in visualization tools like Tableau, Power BI for clear data presentation. Analytical & Communication Skills: Strong problem-solving abilities with the capability to convey complex technical concepts to diverse audiences. Team Collaboration & Leadership: Proven success in collaborative team environments, with experience in mentorship and leading innovative data science projects. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Experience : 3-5 years specializing in deep learning, including extensive experience in PyTorch and TensorFlow. Industry Expertise: Experience in finance, manufacturing, healthcare, or retail sectors. Advanced AI Knowledge: Familiarity with reinforcement learning, NLP, and generative models. Location: Ahmedabad Reporting to: Project Manager

Company Description About Nielsen Sports: Nielsen Sports is the premier provider of analytics and insights within the growing sports industry, offering the most reliable source of independent and holistic market data. We help businesses around the world effectively measure and commercialize their assets in sports. Our technology, data, and insights empower clients to make smarter decisions regarding media valuation, sponsorship, fan engagement, and more, by understanding and connecting with audiences through sports. We leverage cutting-edge image detection, machine learning, and AI to provide a comprehensive view of the sports media landscape. Job Description Key Responsibilities: AI/ML System Development: Contribute to the design, development, and implementation of scalable AI/ML systems, with a focus on computer vision and LLM applications for sports media analysis. Model Implementation & Training: Develop, train, test, and fine-tune deep learning models (e.g., object detectors like RT-DETR, custom classifiers) on large-scale, domain-specific datasets under the guidance of senior engineers. Computer Vision Solutions: Implement computer vision algorithms and models to identify visual elements (e.g., logos, brand assets) in sports content. LLM & GenAI Application: Assist in exploring and implementing solutions leveraging LLMs and Generative AI for tasks such as data processing, feature extraction, and supporting model validation. Software Development & Deployment: Write high-quality, maintainable code for AI/ML pipelines. Contribute to building APIs and integrating models into Nielsen Sports platforms. UI/UX for AI Tools: Develop or assist in developing internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities and support data workflows. Learning & Innovation: Actively learn about advancements in computer vision, LLMs, and related AI fields. Contribute to evaluating and prototyping new technologies and methodologies. Collaboration: Work closely and collaboratively with senior engineers, data scientists, product managers, and other team members in an agile environment. Code Quality & Optimization: Write efficient code and assist in optimizing model performance and resource utilization. Data Handling: Participate in data collection, preprocessing, and augmentation efforts to support model development. Qualifications Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 1-6 years of hands-on software development experience, with a keen interest or experience in AI/ML and Computer Vision. Experience with training or implementing deep learning models (e.g., for object detection, classification) using common frameworks. Proficiency in Python and experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras. Exposure to or interest in Large Language Models (LLMs) and their applications. Familiarity with developing simple UIs or scripting for model interaction or data tasks. Understanding of basic MLOps principles and familiarity with tools for model development and deployment (e.g., Docker, Git). Solid software engineering fundamentals, including data structures, algorithms, code versioning (Git), and testing practices. Good problem-solving skills and an eagerness to learn and tackle new challenges. Strong communication and teamwork skills. Nice to have: Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills Experience with Generative AI vision models. Contributions to open-source projects or personal AI/ML projects. Interest in or experience with sports data (broadcast feeds, social media imagery, sponsorship analytics). Familiarity with cloud computing platforms (AWS, GCP, Azure). Experience with video processing basics. Exposure to data pipeline tools. Ability to quickly learn new technologies and adapt to a fast-paced environment. Additional Information Are you passionate about building innovative solutions with the latest advancements in computer vision and multi-modal Large Language Models? Do you want to contribute to industry-defining software and grow your skills at the cutting edge of AI research and application? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. In this role, you will be a key contributor to our mission, developing and implementing AI systems that unlock novel insights from complex multimedia sports data. We are looking for enthusiastic Software Engineers at various levels (MTS-1 to MTS-3) to join our dynamic team. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager- Analytics/ Senior Manager-Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Procurement Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech /BE/ Masters in CS/IS/AI/ML Previous Work Experience Required Minimum 3 years of relevant experience Technical Skills Required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning , NLP using Python Solid understanding of GenAI concepts and experience in Prompt Engineering and RAG Experience with version control tools such as Git. Consistently display an intent for problem solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization Good To Have Preferred industry exposure in CPG and experience of working in the domain of Procurement Analytics Product building experience would be a plus Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Experience with Airflow for orchestrating and automating workflows Familiarity with MLOPS and containerization tools like Docker would be plus. Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to work independently and with others We dream big to create future with more cheers

Role: Gen AI Engineer Location: Hyderabad Experience: 5+ years Mode of Interview: Scheduled in-person interview only Date: 12th July Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Job Title: Python & AI Developer Location: Mohali 8B Experience: 2–7 Years Job Summary: We are seeking a skilled Python & AI Developer to join our team. The ideal candidate will have strong experience in Python programming and hands-on expertise in Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying AI-based applications and solutions. Key Responsibilities: Develop and maintain AI/ML models using Python. Work with large datasets: cleaning, processing, and analyzing data. Build predictive and classification models using algorithms like Regression, Decision Trees, SVM, CNN, RNN, etc. Deploy AI solutions into production environments using Flask, FastAPI, or other frameworks. Collaborate with data scientists, analysts, and backend engineers to integrate models into existing systems. Write efficient, reusable, and testable code. Stay up to date with the latest AI and machine learning trends. Required Skills: Proficient in Python and AI/ML libraries such as TensorFlow, Keras, PyTorch, scikit-learn, NumPy, Pandas. Strong understanding of AI/ML algorithms, deep learning, and statistical modeling. Experience with data preprocessing and model evaluation techniques. Familiarity with RESTful APIs, Flask/Django/FastAPI for model deployment. Knowledge of cloud platforms (AWS, GCP, Azure) is a plus. Good problem-solving and communication skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Experience with version control systems (e.g., Git). Familiarity with NLP, computer vision, or reinforcement learning is a bonus. Job Types: Full-time, Permanent Schedule: Day shift Monday to Friday Work Location: In person

Job Requirements Job Requirements Role/ Job Title: Senior Data Scientist Function/ Department: Data & Analytics Job Purpose In this specialized role, you will leverage your expertise in machine learning and statistics to derive valuable insights from data. Your role will include developing predictive models, interpreting data and working closely with out ML engineers to ensure the effective deployment and functioning of these models. Key / Primary Responsibilities Lead cross-functional teams in the design, development, and deployment of Generative AI solutions, with a strong focus on Large Language Models (LLMs). Architect, train, and fine-tune state-of-the-art LLMs (e.g., GPT, BERT, T5) for various business applications, ensuring alignment with project goals. Deploy and scale LLM-based solutions, integrating them seamlessly into production environments and optimizing for performance and efficiency. Develop and maintain machine learning workflows and pipelines for training, evaluating, and deploying Generative AI models, using Python or R, and leveraging libraries like Hugging Face Transformers, TensorFlow, and PyTorch. Collaborate with product, data, and engineering teams to define and refine use cases for LLM applications such as conversational agents, content generation, and semantic search. Design and implement fine-tuning strategies to adapt pre-trained models to domain-specific tasks, ensuring high relevance and accuracy. Evaluate and optimize LLM performance, including handling challenges such as prompt engineering, inference time, and model bias. Manage and process large, unstructured datasets using SQL and NoSQL databases, ensuring smooth integration with AI models. Build and deploy AI-driven APIs and services, providing scalable access to LLM-based solutions. Use data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to communicate AI model performance, insights, and results to non-technical stakeholders. Secondary Responsibilities Contribute to data analysis projects, with a strong emphasis on text analytics, natural language understanding, and Generative AI applications. Build, validate, and deploy predictive models specifically tailored to text data, including models for text generation, classification, and entity recognition. Handle large, unstructured text datasets, performing essential preprocessing and data cleaning steps, such as tokenization, lemmatization, and noise removal, for machine learning and NLP tasks. Work with cutting-edge text data processing techniques, ensuring high-quality input for training and fine-tuning Large Language Models (LLMs). Collaborate with cross-functional teams to develop and deploy scalable AI-powered solutions that process and analyze textual data at scale. Key Success Metrics Ensure timely deliverables. Spot Training Infrastructure fixes. Lead technical aspects of the projects. Error free deliverables. Education Qualification Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA) Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA Experience: 5-10 years of relevant experience