9506 Tensorflow Jobs - Page 7

The candidate should have experience in AI Development including experience in developing, deploying, and optimizing AI and Generative AI solutions. The ideal candidate will have a strong technical background, hands-on experience with modern AI tools and platforms, and a proven ability to build innovative applications that leverage advanced AI techniques. You will work collaboratively with cross-functional teams to deliver AI-driven products and services that meet business needs and delight end-users. Key Prerequisites  Experience in AI and Generative AI Development  Experience in Design, develop, and deploy AI models for various use cases, such as predictive analytics, recommendation systems, and natural language processing (NLP).  Experience in Building and fine-tuning Generative AI models for applications like chatbots, text summarization, content generation, and image synthesis.  Experience in implementation and optimization of large language models (LLMs) and transformer-based architectures (e.g., GPT, BERT).  Experience in ingestion and cleaning of data  Feature Engineering and Data Engineering  Experience in Design and implementation of data pipelines for ingesting, processing, and storing large datasets.  Experience in Model Training and Optimization  Exposure to deep learning models and fine-tuning pre-trained models using frameworks like TensorFlow, PyTorch, or Hugging Face.  Exposure to optimization of models for performance, scalability, and cost efficiency on cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI).  Hands-on experience in monitoring and improving model performance through retraining and evaluation metrics like accuracy, precision, and recall. AI Tools and Platform Expertise  OpenAI, Hugging Face  MLOps tools  Generative AI-specific tools and libraries for innovative applications. Technical Skills 1. Strong programming skills in Python (preferred) or other languages like Java, R, or Julia. 2. Expertise in AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. 3. Proficiency in working with transformer-based models (e.g., GPT, BERT, T5, DALL-E). 4. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes). 5. Solid understanding of databases (SQL, NoSQL) and big data processing tools (Spark, Hadoop).

Hi, We have a 6-month (possibilities of further extension) Contract requirement for AI Developer OFFSHORE REMOTE Europe time zone -Central European Time (CET). Working hours will be 5 am/ 5:30am/6 am to 2 pm/2:30 pm / 3 pm IST Position: AI Developer Duration: 6-month (possibilities of further extension) Annual Salary: DOE Work Location: REMOTE Required Experience: 5 yrs Primary Skills Knowledge of Python AWS Lambda AWS Bedrock Detailed JD as follows: 1. Prompt Engineering Techniques – Advanced Design effective prompts for large language models to optimize accuracy, reduce hallucinations, and guide reasoning using few-shot, zero-shot, and chain-of-thought approaches. Work with foundation models via APIs (e.g., OpenAI, AWS Bedrock) to build real-world applications across domains. 2. Generative Modeling Techniques – Intermediate Implement and experiment with generative models like GPT, BERT, or other Transformer-based architectures. Apply pre-trained models in NLP, content generation, or summarization tasks using platforms like Hugging Face or AWS Bedrock. 3. Agentic AI and Reinforcement Learning – Intermediate Understand and integrate basic agentic frameworks that combine reasoning, memory, and planning. Work with simulation environments (e.g., OpenAI Gym) and apply standard reinforcement learning algorithms for prototype development. 4. Building Responsible and Ethical AI – Intermediate Implement fairness-aware model evaluation and explainability practices using tools like SHAP or LIME. Follow best practices for privacy, bias mitigation, and governance in AI systems. 5. Cloud Deployment and MLOps – Intermediate Deploy AI models using AWS Lambda , AWS Bedrock , and SageMaker for serving and scalability. Participate in building MLOps pipelines and model versioning using MLflow or similar tools. 6. Machine Learning Frameworks (PyTorch/TensorFlow) – Beginner Train and fine-tune small-scale models using PyTorch or TensorFlow under guidance or for prototyping. Leverage existing models via transfer learning for quick deployment. 7. Data Preprocessing and Feature Engineering – Beginner Clean and transform raw data for modeling tasks. Perform exploratory data analysis (EDA) and develop basic feature extraction pipelines. 8. Containerization and CI/CD – Beginner Learn and assist in containerizing ML applications using Docker. Support implementation of CI/CD pipelines and Git-based workflow integrations.

🚀 We’re Hiring: Data Scientist Location: Pune Experience: 6–9 Years | About the Role We are looking for a highly skilled Data Scientist to join our team and work on impactful data-driven problem statements. The ideal candidate will have hands-on expertise in data science, statistical modeling, and machine learning frameworks, along with strong domain knowledge in Healthcare, Finance, or Banking . This is an IC4 individual contributor role that requires both technical depth and the ability to mentor junior team members. Key Responsibilities Perform exploratory data analysis, build and optimize classification/regression models, and create visualizations. Work with numeric, imaging, and textual data for wrangling and insights. Apply statistical analysis, modeling techniques, and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras). Utilize cloud platforms (AWS, GCP, or Azure) for data science solutions and ML services. Collaborate with cross-functional teams, proactively learn new technologies, and adapt to evolving data science methodologies. Mentor junior members and contribute to the team’s knowledge-sharing initiatives. Must-Have Qualifications 5+ years of hands-on experience in Data Science . 3+ years in exploratory data analysis, visualization, classification/regression algorithms, and statistical modeling. Strong programming skills (Python preferred) with solid understanding of OOPS concepts. 2+ years of domain experience in Healthcare, Finance, or Banking . 2+ years working with ML frameworks (Scikit-Learn, TensorFlow, Keras, etc.) and cloud platforms. 3+ years handling numeric, imaging, and textual data wrangling. 1+ year mentoring junior team members. Good to Have Experience with MLOps and DevSecOps practices.

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation.- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.-Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)--Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation.- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.-Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)--Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

!!!! We are Hiring a Data Scientist (Remote)!!! Job Summary: We are seeking an experienced Data Scientist with 5 to 6 years of hands-on experience to join our analytics and AI/ML team. The ideal candidate has a strong background in statistics, machine learning, data engineering, and business analytics, and is capable of turning complex data into actionable insights and predictive solutions. Key Responsibilities: • Work with stakeholders to identify business problems and translate them into data science solutions. • Build, evaluate, and deploy machine learning and statistical models. • Perform data wrangling, feature engineering, and exploratory data analysis (EDA) on large datasets. • Design and implement data pipelines and ETL processes. • Collaborate with engineering teams to deploy models into production. • Interpret model results, validate assumptions, and communicate findings to non-technical stakeholders. • Continuously monitor model performance and retrain as necessary. • Stay up to date with the latest trends, tools, and technologies in data science and AI. Required Skills & Qualifications: • 5–6 years of experience in a data science or machine learning role. • Strong proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch) • Solid knowledge of machine learning algorithms, deep learning, NLP, or time series forecasting. • Experience with SQL and relational databases. • Experience with data visualization tools like QuickSight, Power BI, or Matplotlib/Seaborn. • Proficiency with cloud platforms like AWS. • Familiarity with version control systems (Git), Docker, and CI/CD workflows. • Strong communication skills and ability to present technical findings clearly to business stakeholders. Preferred Qualifications: • Master's in Computer Science, Statistics, Data Science, Mathematics, or a related field. • Experience working with big data tools such as Spark or Kafka. • Prior experience in industries such as healthcare or retail. • Background in MLOps or data science productization is a plus. Send the resume to HR@muverity.com

We're Hiring: AI/ML Intern @ Atomo Location: Gandhinagar ,Gujarat Duration: 6 months At Atomo , we’re building AI-powered edge devices for automation, smart infrastructure, and industrial IoT — made in India, designed for the world. We’re looking for a passionate AI/ML Intern to join our team and work on cutting-edge applications like: On-device inference (NPU optimization) Predictive maintenance models Energy efficiency & anomaly detection Real-time data processing on the edge,video and image analysis What You’ll Do: Build, train, and optimize ML models for embedded deployment Work closely with our firmware and hardware teams Evaluate model performance across edge devices (Electron, Proton, Neutron) Contribute to real-world, production-grade features You Should Have: Background in Computer Science, AI/ML, or related field Experience with Python, TensorFlow / PyTorch Familiarity with edge ML (TensorFlow Lite, ONNX, etc.) Interest in embedded systems, IoT, or edge computing Why Atomo? Hands-on work with real devices Learn how AI meets hardware Be part of India’s deep-tech innovation story Strong chance of PPO (pre-placement offer) for top performers #AIIntern #MLIntern #EdgeAI #IoT #Internship #Hiring #MadeInIndia #DeepTech #CareersAtAtomo

Company Description Founded in 2018, Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs. Our platform helps AI ML teams with incident management, automation, remediation, and self-healing while ensuring audit and security compliance. Giggso is web 3.0 and blockchain-enabled, consolidating information from data quality to bias and drifts to support Model Risk MExperience in productizing and deploying Machine Learning solutions. Thorough understanding of the full ML pipeline, from data collection to inference. Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes. Proficiency in Python and experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn. Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization. Must be located in commutable distance to Chennai, Tamil Nadu, India Preferred Qualification Master's Degree. Knowledge or experience in MLOps and ModelOps practices. Strong problem-solving skills with the ability to analyze, optimize, and scale models. Excellent verbal and written communication skills to collaborate effectively across teams and influence strategic decisions.

Company Description : ExcelR is a premier training provider specializing in delivering top-tier professional courses in domains such as Data Analytics, Data Science,Full stack, Agile Methodologies, Project Management, IT Service Management, and Quality Assurance. are committed to empowering professionals to achieve accelerated career growth. Our course portfolio includes globally recognized certifications such as PMP, PMI-ACP, Six Sigma, and ITIL. Job Opportunity: Senior Training Instructor (Full-Time, On-Site) Location: Bangalore & Hyderabad We are currently hiring Senior Training Instructors for the following specialized tracks: Data Analyst/Business Analyst Data Science Digital Marketing As a Senior Training Instructor, you will be responsible for delivering high-quality, interactive training sessions and providing guidance and mentorship to learners, ensuring their successful career development. Skill Sets Required 🔹 Data Analyst Proficiency in Excel, SQL, Power BI/Tableau Data cleaning, data visualization, and dashboarding Understanding of statistics and reporting techniques Knowledge of Python or R (preferred) Strong knowledge of SDLC, Agile, and Waterfall methodologies Proficiency in tools like MS Visio, Jira, and Balsamiq Requirement gathering, stakeholder management, and process modeling Excellent analytical and documentation skills 🔹 Data Science Strong grasp of Python/R, Machine Learning, and statistical modeling Experience with data preprocessing, EDA, and model building Familiarity with libraries like NumPy, pandas, scikit-learn, and TensorFlow Proficiency in deploying models and working with real-world datasets 🔹 Digital Marketing In-depth knowledge of SEO, SEM, and Social Media Marketing Experience with tools like Google Ads, Google Analytics, and Search Console, Familiarity with email marketing, content strategy, and performance marketing, Hands-on expertise in campaign planning, execution, and ROI tracking, Proficiency in tools such as Meta Ads Manager, Mailchimp, and HubSpot, Strong understanding of digital marketing trends, automation, and lead generation strategies Ideal Candidate Profile Demonstrated expertise in the relevant domain with industry experience Excellent communication and presentation abilities to deliver impactful training Passion for teaching and mentoring aspiring professionals Qualifications Prior experience in training, mentoring, or educational roles Strong interpersonal and time management skills Ability to collaborate effectively in a team environment Certifications in relevant subject areas or instructional design What We Offer Attractive Compensation: Competitive and in line with market standards Platform to Inspire: An opportunity to share your industry knowledge and shape the next generation of professionals Interested? Share your resume with yourus at mail to: balaji.k@excelr.com or:sayyad.siddiq@excelr.com. We look forward to collaborating with you!

Company Description Webbrains Technologies Private Ltd. is an Australian-based IT firm with developmental locations in India. Offering a wide range of IT services such as Web Designing, Mobile Application Development, Custom Software Solutions, and more, we cater to clients across over 42 countries. Our expertise spans numerous technologies including React JS, Node JS, Python, PHP, iOS, Android, and many others. We provide comprehensive IT solutions to diverse industries such as Healthcare, Finance, Media, and Hospitality, and also offer dedicated remote IT resources on a contract basis. Job Overview: We are seeking a highly skilled and experienced AI/ML Developer to join our team. The ideal candidate will have strong expertise in building and deploying machine learning models, data analysis, and algorithm development. Experience in the healthcare domain is a significant advantage. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models . Analyze complex data sets to drive actionable insights and solutions. Work on end-to-end ML pipelines including data preprocessing, feature engineering, model training, evaluation, and deployment. Collaborate with data engineers, software developers, and domain experts to integrate ML solutions into products. Conduct research and stay updated with the latest developments in AI/ML technologies. Optimize model performance and troubleshoot any issues during development or deployment. Document experiments, code, and reports clearly and efficiently. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3–4 years of hands-on experience in AI/ML development. Proficient in Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch . Experience with data preprocessing , feature selection , model validation , and hyperparameter tuning . Strong understanding of statistical modeling , classification , regression , clustering , and NLP techniques. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, Matplotlib , etc. Experience working with cloud platforms (AWS/GCP/Azure) is a plus. Prior experience in healthcare domain or medical data analytics will be an added advantage. Excellent problem-solving, analytical, and communication skills.

Job Description: About Us At Byteverse Labs, we believe in pushing the boundaries of technology through collaborative, real-world projects. We are the innovation hub of byteverse.tech, dedicated to building cutting-edge solutions and fostering a community of passionate developers, researchers, and creators. The Project We are excited to announce the launch of a new, ambitious project: building an advanced Text-to-Speech (TTS) Machine Learning model from the ground up. This isn't just an academic exercise; it's a chance to be part of a team creating a tangible, high-impact product. We're looking for passionate and driven individuals to join us on this journey. Your Role & What You'll Be Doing As a contributor to our TTS project, you will collaborate with a diverse team to research, design, code, and test components of our AI model. We have opportunities for individuals with various interests and skills, including: Machine Learning & Research: Experimenting with different model architectures, implementing research papers, and optimizing training pipelines. Software Development: Writing clean, efficient code for data processing, model training, and API integration. Audio Processing: Working with audio datasets, signal processing, and analyzing voice characteristics. System Design & Coordination: Helping to structure the project, manage tasks, and ensure smooth collaboration across the team. This is a unique opportunity to see a real-world ML system come to life and to contribute to its success. Project Highlights & Opportunities While this is a collaborative, project-based role, we believe in recognizing and rewarding contribution. Selected team members will receive: Hands-On Experience: Gain invaluable experience in Machine Learning, audio processing, and large-scale system design. Build Your Portfolio: Contribute to a high-impact, resume-worthy project that you can showcase to future employers. Certificate of Contribution: Receive an official certificate from Byteverse Labs recognizing your successful involvement and achievements. Internship Opportunity: Outstanding contributors will be considered for an Internship Offer, providing a pathway to a more formal role. Networking: Connect and collaborate with a talented team of peers and mentors who share your passion for technology. Who We're Looking For Individuals with a strong passion for AI, Machine Learning, and technology. Proactive, collaborative team players who are eager to learn and contribute. Students or professionals looking for hands-on experience outside of a traditional academic or work setting. Experience in Python, PyTorch/TensorFlow, or audio processing is a plus, but passion and a willingness to learn are most important. We welcome coders, researchers, designers, and project coordinators. Ready to build the voice of AI with us? Apply here: https://docs.google.com/forms/d/e/1FAIpQLScWtzWhWJiE0AU2QRd1Hb8jx81EYXfyQxmA0OjBGBUyOFiuhQ/viewform Let's build something awesome together! A project by labs.byteverse.tech

Job Title: TL/ Manager -AIML (Image Processing )(Healthcare /Medical domain experience is preferable) Experience - Min 7yrs to 12years . Company: Optra Scan India Pvt Ltd Location: Pune (Near Pune Station) About Optra Scan: Optra Scan is a leading provider of AI-powered digital pathology solutions, revolutionizing the way pathology is practiced worldwide. Our cutting-edge technology enables pathologists and researchers to make accurate diagnoses efficiently and effectively, ultimately improving patient outcomes. Job Description: Optra Scan is seeking a talented and motivated AI/ML professional to join our dynamic team. As an AI/ML professional, you will play a pivotal role in the development and implementation of machine learning algorithms and AI models to enhance our digital pathology platform. You will collaborate closely with cross-functional teams to drive innovation and deliver solutions that address complex challenges in healthcare. Responsibilities: Design, develop, and implement machine learning algorithms and AI models for digital pathology applications. Analyze large-scale medical imaging datasets and extract meaningful insights to improve diagnostic accuracy and efficiency. Optimize algorithms for performance, scalability, and robustness in real-world clinical settings. Collaborate with software engineers, pathologists, and data scientists to integrate AI/ML solutions into our digital pathology platform. Stay updated on the latest advancements in AI/ML technologies and contribute to continuous learning and improvement within the team. Participate in code reviews, documentation, and knowledge sharing activities to maintain high standards of software quality and best practices. Requirements: Python, TensorFlow, PyTorch, MATLAB, CUDA programming, Image Processing, NLP, Neural networks and multithreading knowledge Min. 6+ yr of relevant experience Knowledge of AI/ML technology, Data Science, NLP, Machine learning, Imaging Algorithms development in medical domain. object oriented design/development skills, Knowledge of image analysis methods, techniques and practices Experience in C++ and Python is required If you would like to explore this opportunity kindly revert with resume.

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 : Large Language Models Good to have skills : NA Minimum 12 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, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and training sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud computing platforms and services. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 12 years of experience in Large Language Models. - This position is based at our Chennai office. - A 15 years full time education is required.

Data Science @Dream Sports: Data Science at Dream Sports comprises seasoned data scientists thriving to drive value with data across all our initiatives. The team has developed state-of-the-art solutions for forecasting and optimization, data-driven risk prevention systems, Causal Inference and Recommender Systems to enhance product and user experience. We are a team of Machine Learning Scientists and Research Scientists with a portfolio of projects ranges from production ML systems that we conceptualize, build, support and innovate upon, to longer term research projects with potential game-changing impact for Dream Sports. This is a unique opportunity for highly motivated candidates to work on real-world applications of machine learning in the sports industry, with access to state-of-the-art resources, infrastructure, and data from multiple sources streaming from 250 million users and contributing to our collaboration with Columbia Dream Sports AI Innovation Center. Your Role: Executing clean experiments rigorously against pertinent performance guardrails and analysing performance metrics to infer actionable findings Developing and maintaining services with proactive monitoring and can incorporate best industry practices for optimal service quality and risk mitigation Breaking down complex projects into actionable tasks that adhere to set management practices and ensure stakeholder visibility Managing end-to-end lifecycle of large scale ML projects from data preparation, model training, deployment, monitoring, and upgradation of experiments Leveraging a strong foundation in ML, statistics, and deep learning to adeptly implement research-backed techniques for model development Staying abreast of the best ML practices and developments of the industry to mentor and guide team members Qualifiers: 4-6 years of experience in building, deploying and maintaining ML solutions Extensive experience with Python, Sql, Tensorflow/Pytorch and atleast one distributed data framework (Spark/Ray/Dask ) Working knowledge of Machine Learning, probability & statistics and Deep Learning Fundamentals Experience in designing end to end machine learning systems that work at scale About Dream Sports: Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11 , the world’s largest fantasy sports platform, FanCode , a premier sports content & commerce platform and DreamSetGo , a sports experiences platform. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology. For more information: https://dreamsports.group/ Dream11 is the world’s largest fantasy sports platform with 230 million users playing fantasy cricket, football, basketball & hockey on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers.

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 : Large Language Models Good to have skills : NA Minimum 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 collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. 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. - Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Experience with cloud-based AI services and deployment. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based in Pune. - A 15 years full time education is required.

Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Key Responsibilities Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the team to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills And Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management Qualifications Masters with specialisation in Technology with certification in AI and ML 5-12 years relevant of Hands-on Experience in developing and delivering AI solutions About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 01st August 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

🚀 We're Hiring: AI Learning Experience Designer (Freelance / Part-Time) 💼 Remote | 15–20 hrs/week | Per Project | Global Clients Are you passionate about designing impactful learning experiences in the world of AI and emerging tech ? We're looking for a freelance Instructional Designer / Learning Experience Designer (ID/LED) who can craft engaging, instructor-led programs for both technical and non-technical audiences. This is a high-impact, client-facing role — perfect for someone who thrives at the intersection of education, technology, and innovation . 🔧 What You'll Do: • Design and develop instructor-led training content focused on AI/ML • Collaborate with SMEs to break down complex topics into hands-on, accessible experiences • Build structured learning pathways — from AI foundations to advanced deep learning • Create live training assets: slide decks, hands-on labs, real-world case studies, assessments • Align with global teams on standards, delivery formats, and localization 🎯 Who We’re Looking For: • 3+ years in instructional design or LXD (tech or AI focus preferred) • Experience designing for instructor-led formats • Strong understanding of AI concepts: LLMs, machine learning, ethics, etc. • Ability to create hands-on, practical, and interactive learning materials • Bonus: GitHub experience, AI frameworks (Python, TensorFlow, etc.), or virtual labs 📩 Interested? Let’s get to know you better! This is a remote, project-based opportunity with flexible hours, ideal for educators and designers who want to shape the future of AI learning.

Role : Sr ML Engineer - 4yrs experience - Remote Experience : 4+ Yrs Location: Bangalore/Remote Notice Period : 15 Days/ Immediate Skills : ML Engineer, Python, Deep Learning, Computer Vision, Image Processing Salary Range : 12 LPA , based on skills, experience, and interview performance Job Responsibilities: ● Deep Learning & Computer Vision Model Development: Lead and contribute to the development of deep learning-based computer vision models for real-world applications (e.g., image recognition, object detection, segmentation, tracking, etc.). ● Research & Innovation: Stay up-to-date with the latest advancements in deep learning, computer vision, and AI technologies. Evaluate and implement cutting-edge techniques to improve model performance and scalability. ● End-to-End Solution Deployment: Take responsibility for the full life cycle of a project, from conceptualizing solutions to deploying and maintaining deep learning models in production. ● Code Optimization & Model Performance: Develop and fine-tune algorithms for real-time and large-scale image/video processing. Optimize code for performance, efficiency, and scalability. ● Collaboration & Mentorship: Work closely with cross-functional teams (e.g., data scientists, software engineers, product managers) to design and implement practical AI solutions. Guide and mentor junior engineers and data scientists, providing technical leadership and ensuring high-quality code and designs. ● Research Paper Review & Knowledge Sharing: Review and contribute to research papers and publications. Organize and lead internal knowledge-sharing sessions on new techniques, industry trends, and best practices. ● Documentation & Reporting: Document models, processes, and experiments. Provide clear and concise reports on findings and progress to the leadership team. Required Skills & Qualifications: ● Industry Experience: Minimum of 3 years of industry experience working on deep learning and computer vision projects, with a strong focus on practical implementations. ● Proficiency in Python: Advanced knowledge of Python and its deep learning libraries (TensorFlow, PyTorch, Keras, OpenCV, etc.). Familiarity with other languages is a plus (e.g., C++, CUDA). ● Deep Learning Frameworks: Extensive experience using deep learning frameworks (e.g., TensorFlow, PyTorch) to develop and train models for various computer vision tasks. ● Computer Vision Expertise: Strong understanding of computer vision algorithms, techniques, and applications (e.g., object detection, segmentation, facial recognition, optical flow, etc.). ● Model Deployment: Experience with model deployment tools and techniques (e.g., TensorFlow Serving, Docker, cloud services like AWS, Azure, etc.). ● Mentorship & Leadership: Proven ability to mentor and guide junior engineers and data scientists in the team, providing technical support and helping them grow in their careers. ● Problem-Solving & Critical Thinking: Strong analytical and problem-solving skills. Ability to break down complex challenges and come up with innovative, scalable solutions. ● Communication Skills: Excellent written and verbal communication skills. Ability to explain technical concepts to non-technical stakeholders and present findings clearly. Preferred Qualifications: ● Master's or PhD in Computer Science, Engineering, or a related field. ● Experience with cloud-based services (AWS, GCP, or Azure) for deploying deep learning models. ● Familiarity with model explainability and interpretability tools.

The Role We are hiring an AI/ML Developer (India), to join our India team, in support of a large global client! You will be responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications. What You Will Be Doing •Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering. •Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. •Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI). •Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis. •Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI. •Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics. •Design and optimize ETL pipelines for data quality management, transformation, and validation. •Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization. •Create interactive data visualizations using Tableau and Power BI to drive business insights. •Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization. •Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time. What You Bring Along •2+ years of experience applying AI to practical uses. •Strong programming skills in Python, SQL, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. •Knowledge of basic algorithms and object-oriented and functional design principles •Proficiency in using data analytics libraries like Pandas, NumPy, Matplotlib, and Seaborn. •Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud. •Experience with big data processing using Apache Spark and Snowflake. •Knowledge of NLP and AI model implementations using Hugging Face and cloud-based AI services. •Strong understanding of database management, query optimization, and data warehousing. •Experience with data visualization tools such as Tableau and Power BI. •Ability to work in a collaborative environment and adapt to new AI technologies. •Strong analytical and problem solving skills. Education: •Bachelor’s degree in computer science, Data Science, AI/ML, or a related field.

Key Responsibilities: Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like LangChain, AutoGen, or Semantic Kernel. Engineer prompt strategies for task-specific agent workflows (e.g., document classification, summarization, labeling, sentiment detection). Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops. Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory/state management. Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments. Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability. Monitor and refine agent performance using logging, observability tools, and feedback signals. Required Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field. 3+ years of experience in developing AI/ML systems; 1+ year in agent-based architectures or LLM-enabled automation. Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn). Experience with LLM frameworks (LangChain, AutoGen, OpenAI, Anthropic, Hugging Face Transformers). Strong grasp of NLP, prompt engineering, reinforcement learning, and decision systems. Knowledge of cloud environments (AWS, Azure, GCP) and CI/CD for AI systems. Preferred Skills: Familiarity with multi-agent frameworks and agent orchestration design patterns. Experience in building autonomous AI applications for data governance, annotation, or knowledge extraction. Background in human-in-the-loop systems, active learning, or interactive AI workflows. Understanding of vector databases (e.g., FAISS, Pinecone) and semantic search.

Assist in developing Python-based applications and scripts supporting AI/ML workflows. Support model building and data analysis using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Clean and preprocess datasets for training and validation using best practices in data wrangling. Work under senior developers/data scientists to deploy, test, and validate ML models. Contribute to automation scripts and tools that optimize data pipelines and ML operations. Document code, algorithms, and workflows for internal and external use. Stay updated with emerging trends in Python development and machine learning frameworks. Participate in code reviews and team meetings, ensuring continuous learning and improvement. Good knowledge in SQL.

🌟 We're Hiring: Artificial Intelligence Consultant! 🌟 We're seeking a highly motivated and technically adept Artificial Intelligence Consultant to join our growing Artificial Intelligence and Business Transformation practice. This role is ideal for a strategic thinker with a strong blend of leadership, business consulting acumen, and technical expertise in Python, LLMs, Retrieval-Augmented Generation (RAG), and agentic systems. Location: Remote (Contract to Hire/ 1 Year Renewable) ⏰ Work Mode: Work From Home 💼 Role: Artificial Intelligence Consultant Roles And Responsibilities AI Engagements: Independently manage end-to-end delivery of AI-led transformation projects across industries, ensuring value realization and high client satisfaction. Strategic Consulting & Roadmapping: Identify key enterprise challenges and translate them into AI solution opportunities, crafting transformation roadmaps that leverage RAG, LLMs, and intelligent agent frameworks. LLM/RAG Solution Design & Implementation: Architect and deliver cutting-edge AI systems using Python, LangChain, LlamaIndex, OpenAI function calling, semantic search, and vector store integrations (FAISS, Qdrant, Pinecone, ChromaDB). Agentic Systems: Design and deploy multi-step agent workflows using frameworks like CrewAI, LangGraph, AutoGen or ReAct, optimizing tool-augmented reasoning pipelines. Client Engagement & Advisory: Build lasting client relationships as a trusted AI advisor, delivering technical insight and strategic direction on generative AI initiatives. Hands-on Prototyping: Rapidly prototype PoCs using Python and modern ML/LLM stacks to demonstrate feasibility and business impact. Thought Leadership: Conduct market research, stay updated with the latest in GenAI and RAG/Agentic systems, and contribute to whitepapers, blogs, and new offerings. Essential Skills Education: Bachelor's or Master’s in Computer Science, AI, Engineering, or related field. Experience: Minimum 5 years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions. Leadership Quality: Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact. Business Consulting Mindset: Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains. Python & AI Proficiency: Advanced proficiency in Python and popular AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models. LLM Ecosystem Fluency: Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; and structured task orchestration. Independent Contributor: Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments. Preferred Skills Cloud Platform Expertise: Strong familiarity with Microsoft Azure (preferred), AWS, or GCP — including compute instances, storage, managed services, and serverless/cloud-native deployment models. Programming Paradigms: Hands-on experience with both functional and object-oriented programming in AI system design. Hugging Face Ecosystem: Proficiency in using Hugging Face Transformers, Datasets, and Model Hub. Vector Store Experience: Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB. LangChain Expertise: Strong proficiency in LangChain for agentic task orchestration and RAG pipelines. MLOps & Deployment: CI/CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker/Kubernetes). Cloud & Service Architecture: Knowledge of microservices, scaling strategies, inter-service communication. Programming Languages: Proficiency in Python and C# for enterprise-grade AI solution development.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Senior Engineer: Job Title: Senior Machine Learning & Data Engineer We are looking for a highly skilled and experienced Machine Learning & Data Engineer to join our team. This hybrid role blends the responsibilities of a data engineer and a machine learning engineer, with a strong emphasis on Python development. You will be instrumental in designing scalable data pipelines, building and deploying ML/NLP models, and enabling data-driven decision-making across the organization. Key Responsibilities Data Engineering & Infrastructure Design and implement robust ETL pipelines and data integration workflows using SQL, NoSQL, and big data technologies (e.g., Spark, Hadoop). Optimize data storage and retrieval using relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Ensure data quality, validation, and governance across systems. Develop and maintain data models and documentation for data flows and architecture. Machine Learning & NLP Build, fine-tune, and deploy ML/NLP models using frameworks like TensorFlow, PyTorch, and Scikit-learn. Apply advanced NLP techniques including Transformers, BERT, and LLM fine-tuning. Implement Retrieval-Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, and vector databases (e.g., FAISS, Milvus). Operationalize ML models using APIs, model registries (e.g., Hugging Face), and cloud services (e.g., SageMaker, Azure ML). Python Development Develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django. Automate data workflows and model training pipelines using Python libraries (e.g., Pandas, NumPy, SQLAlchemy). Collaborate with cross-functional teams to integrate ML solutions into production systems. Collaboration & Communication Work closely with data scientists, analysts, and software engineers in Agile/Scrum teams. Translate business requirements into technical solutions. Maintain clean, well-documented code and contribute to knowledge sharing. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience in both data engineering and machine learning roles. Strong Python programming skills and experience with modern Python libraries and frameworks. Deep understanding of ML/NLP concepts and practical experience with LLMs and RAG architectures. Proficiency in SQL and experience with both SQL and NoSQL databases. Experience with big data tools (e.g., Spark, PySpark) and cloud platforms (AWS, Azure). Familiarity with data visualization tools like Power BI or Tableau. Excellent problem-solving, communication, and collaboration skills. Engineer: Job Title : Automation Engineer Job Description We are seeking a skilled and experienced Automation Engineer to join our team. As a C#/Python Developer, you will play a pivotal role in developing and deploying advanced solutions to drive our Product Test automation. You will collaborate closely with Testers, product managers, and stakeholders to ensure the successful implementation and operation of Automation solutions. The ideal candidate will have a strong background in API development with C# programming and python, with experience in deploying scalable solutions. Responsibilities Design, develop, and maintain core APIs using mainly C#. Collaborate with cross-functional teams to understand requirements and implement API solutions. Create and execute unit tests for APIs to ensure software quality. Identify, analyze, and troubleshoot issues in API development and testing. Continuously improve and optimize API development processes. Document API specifications, procedures, and results. Stay updated with the latest industry trends and technologies in API development. Requirements Bachelor's degree in Computer Science, Engineering, or related field. Proven experience in developing APIs and scripts/apps using C# and python. Knowledge in python is a plus. Experience in using visual studio for development Experience in wireless domain will be a plus Strong understanding of software testing principles and methodologies. Proficiency in C# programming language. Experience with Test Automation tools and best practices Familiarity with CI/CD pipelines and version control systems (e.g., Perforce). Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.