4379 Pytorch Jobs - Page 3

Location: Remote Timings: Full Time (As per company timings) Notice Period: (Immediate Joiner - Only) Experience: 4 Years Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

About the Job: The Data Development, Insights & Strategy team is a highly focused effort to use the combination of our product fleet data, our business and sales data to provide strategic insight and act on the moments that matter in near real time to both drive meaningful customer interactions, product evolution, modernize/drive our business systems and identifying opportunities to maximize our understanding and execution of product & business models which in turn maximize our ability to successfully capture our market opportunity. We are seeking a technically minded, detail oriented and creative Senior Data Scientist focused on natural language processing, machine learning & data analytics to join our team. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hats data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of DDIS, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What will you do Collaborate with a small, agile team to research and implement effective NLP algorithms and tools. Contribute to the design, development, and delivery of NLP applications from concept to production. Analyze data science prototypes and ensure they meet business requirements. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What will you bring 5+ years of professional experience in NLP using Python, with knowledge of Spacy and Hugging Face. Strong understanding of NLP techniques and experience in Generative AI application development. Familiarity with machine learning frameworks, including TensorFlow, Keras, and PyTorch. Experience in developing scalable backend microservices in AWS. Ability to translate complex data findings into actionable business insights. Comfortable working with a small team in a fast-paced, highly collaborative environment Experience with GenAI application development - LLMs, Embedding models, Vector Databases Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. Bachelors degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry Experience developing highly scalable backend microservices in AWS Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

S&C Global Network - AI - Retail - Consultant - AI Retail Product Specialist Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Knowledge of retail industry trends, consumer behavior analytics, and emerging AI technologies in the retail sector. Develop and maintain AI models and algorithms that support inventory management, personalized shopping experiences, demand forecasting, pricing optimization, and customer segmentation. Creation of process flows and diagrams for merchants day in a life / Ability to interpret consumer behavior data and apply AI insights to optimize customer journeys, product recommendations, and personalized experiences. Leverage AI to enhance the customer experience by delivering personalized recommendations, improving product discovery, and enhancing omnichannel retail strategies. Good to have skills: Familiarity with Agile methodologies and product management processes. Ability to approach complex problems methodically, using AI and data-driven solutions to solve challenges in retail operations and customer experience. Constantly thinking about how to innovate using AI to improve retail products, services, and customer satisfaction. Experience with pre-built AI services from cloud providers (e.g., AWS AI services, Google AI, or Azure AI). Job Summary : The AI Retail Product Specialist is responsible for developing, implementing, and optimizing AI-powered solutions that enhance retail product strategies. This includes working closely with cross-functional teams, analyzing consumer behavior data, and driving product innovations using AI technologies. The specialist will leverage AI tools to improve customer personalization, inventory management, sales forecasting, and the overall shopping experience in retail settings. Roles & Responsibilities: Act as the bridge between business needs and technical solutions, overseeing the development and deployment of AI products. Define the AI product roadmap and ensure that AI-driven initiatives align with business objectives. Work with cross-functional teams to prioritize features and manage product releases. Collaborate with product managers, data scientists, and IT teams to design, implement, and refine AI-driven retail solutions. Focus on developing agentic experiences, where AI can assist or guide users through various tasks (e.g., chatbots, virtual assistants). Analyze large datasets to identify trends, patterns, and insights related to customer preferences, product demand, and shopping behavior. Monitor the performance of AI models and suggest data-driven improvements to enhance accuracy and effectiveness. Support decision-making by delivering actionable insights to stakeholders regarding product assortments, pricing strategies, and promotional activities. Stay up-to-date with the latest developments in AI technologies and retail industry trends. Recommend and implement best practices for AI-based product development and deployment in a retail environment. Professional & Technical Skills : Proficiency in programming languages such as Python, R, or SQL. Familiarity with AI frameworks and tools like TensorFlow, Keras, or PyTorch. Experience with data analysis and visualization tools (e.g., Tableau, Power BI, Excel). Additional Information: - (do not remove the hyperlink) Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Bachelor's degree in Computer Science, Data Science, Engineering, Business, or related field. Masters degree preferred.

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Job Title: Senior MLOps Engineer Location : Pan India (WFO) Experience Range: 8-12 years Primary Key skills: MLOps Key Responsibilities: Design, develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, maintenance, and scalability. Automate the retraining, testing, and validation processes for ML models. Collaborate with cross-functional teams, including data science, software engineering and DevOps, to integrate ML models into production systems. Monitor model performance, diagnose issues, and implement improvements. Ensure scalability, reliability, and compliance of ML systems in production. Optimize infrastructure costs while maintaining high system performance. Stay up-to-date with the latest developments in MLOps, machine learning and AI, and apply new techniques to improve existing models and processes. Qualifications: Education: Bachelors or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. Experience: Solid experience as a MLOps Engineer, Machine Learning Engineer, DevOps Engineer, or similar role. Experience in the retail industry or e-commerce is highly desirable. Technical Skills: Strong experience with Infrastructure as Code frameworks and languages (Terraform, Bicep or ARM) Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, etc.). Hands-on experience with containerization (Docker) and orchestration tools (Kubernetes). Proficiency in CI/CD tools and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of model monitoring and evaluation metrics. Familiarity with version control systems, such as Git, and model versioning tools like MLflow or DVC. Experience with Generative AI product deployment is desirable. Experience with big data using Databricks, Snowflake, Apache Spark or Hadoop is desirable. – some of these System level architecture understanding including scaling, MLOps, model/data monitoring, andensuring a deterministic pipeline. Soft Skills: Strong problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. A proactive attitude and a passion for continuous learning and innovation. Role & responsibilities Preferred candidate profile

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Caprae Capital Partners - Machine Learning Engineer Caprae Capital Partners is an innovative private equity firm led by the principal Kevin Hong who has been a serial tech entrepreneur, and who grew two startups to $31M ARR and $7M in revenue. The fund originated with two additional tech entrepreneur friends of Kevin who have had ~8 figure and ~9 figure exits to Twitter and Square, respectively. Additional partners include an Ex-Nasa software engineer and an Ex-Chief of Staff from Google. Caprae Capital in conjunction with its portfolio company launched AI-RaaS (AI Readiness as a Service) and is looking for teammates to join for the long haul If you have a passion for disrupting the finance industry and happen to be a mission-driven person, this is a great fit for you. Additionally, given the recent expansion of this particular firm, you will have the opportunity to work from the ground level and take on a leadership role for the internship program which would result in a paid role. Lastly, this is also a great role for those who are looking into strategy and consulting roles in the future as it will give you the exposure and experience necessary to develop strong business acumen. Responsibilities Assess and analyze current business processes, workflows, and systems to identify areas for improvement. Design, develop, and implement AI models and algorithms to optimize operational efficiency. Collaborate with stakeholders to understand business needs and translate them into technical solutions. Develop and maintain scalable AI-driven tools for automation, forecasting, and decision support. Monitor and evaluate AI models' performance, ensuring accuracy and alignment with business goals. Provide technical guidance and best practices to teams adopting AI-driven process improvements. Document solutions, processes, and outcomes to support future enhancements. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field. Proven experience in developing AI models for process optimization and automation. Strong programming skills in Python, R, or similar languages. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with data engineering, ETL pipelines, and cloud platforms (AWS, Azure, or GCP). Strong problem-solving skills with the ability to translate business challenges into technical solutions. Excellent communication skills and a collaborative mindset. Preferred Skills Experience with process mining tools like Celonis, UIPath, or similar. Knowledge of RPA (Robotic Process Automation) frameworks. Familiarity with agile methodologies and p r oject management tools. Why Join Us? Be part of a forward-thinking team driving innovation through AI. Opportunity to make a measurable impact on business performance. Flexible work environment and growth opportunities. Internship can lead to a paid role after 1-3 months After 3-6 months, internship can lead to a PT or FT role

Founding AI Engineer – Synthetic Data & Digital Twins (Builder Role with Skin in the Game | Delhi NCR Preferred | Hybrid) About Acutus AI At Acutus AI, we’re building the next frontier of behavioural simulation. We help businesses understand how customers think, decide, and act before they do using lifelike synthetic data, digital twins, and AI-generated users-in-context. Our proprietary platform combines Generative AI, Micro-Contextual Profiling (MCP), and Domain-Specific Languages (DSL) to simulate human decision-making across channels, emotions, and moments. This isn’t just about code, it’s about building company-defining technology. Role Overview We’re looking for a Founding AI Engineer to lead the technical execution of our synthetic data engine and digital twin modules. You’ll work closely with the founder to build the product from the ground up, translating product hypotheses into working AI systems. This role is hands-on, technical, and demands startup hustle. You should be ready to roll up your sleeves, navigate ambiguity, and own both the product and the platform vision. What You’ll Do Own the AI Vision & Roadmap Define the architecture for our synthetic data engine: training, validation, simulation pipelines Translate product hypotheses into generative models and simulation logic Co-design our MCP architecture and DSL grammar for scalable users-in-context simulation Build AI/ML Systems Hands-On Develop GANs/VAEs/Diffusion models for behavioural and structured data generation Build scalable workflows for persona simulation and edge-case generation Lead model validation to ensure fairness, diversity, fidelity, and compliance Team Building & Technical Leadership Mentor junior AI engineers, set coding and experimentation standards Collaborate with product and engineering teams to deploy AI features Drive technical hiring as we scale the team Work Cross-Functionally Partner with product teams to design experiments on Gen Z behaviour, OTT, e-commerce and more Ensure all AI development aligns with our privacy-first, modular platform vision You Should Have Must-Have: 4–6 years of AI/ML experience, especially in Generative Models (GANs, VAEs, Diffusion, Transformers) Strong Python & PyTorch/TensorFlow expertise Experience building platforms around synthetic data, simulations, or behaviour modelling Exposure to privacy-preserving AI, fairness, and model validation Startup experience or a 0→1 product builder mindset Great-to-Have: MCP, DSL, or agent-based modelling experience Digital twin experience across industries (retail, fintech, media, research) What You’ll Get Compensation: Strictly Cash + Equity structure Salary will scale with company growth and milestone achievements ESOPs that grow as the company scales Skin in the Game: Foundational role — your decisions shape the platform ESOP buyback aligned to liquidity or strategic milestones (3–5 years horizon) Clear growth track to Head of AI or Chief Product Officer, based on ownership & impact Other Perks: Work directly with the founder & leadership team Visibility in investor conversations and proprietary IP development Opportunity to present research or product work at global conferences Why Acutus, Why Now? This isn’t a cushy role with pre-written playbooks. At Acutus AI, we are: Experiment-First: Full freedom to test wild ideas & iterate fast Problem-Solvers, Not Process-Followers: If it makes sense, we build it Building Original IP: Simulation engines, MCPs, DSLs — not prompt wrapping Early Enough to Matter, Late Enough to Ship: We have a working engine and early pilots — your work turns into real product We need builders, not spectators. If you thrive in ambiguity, love shaping new categories, and want your work to turn into platform-scale IP — this is your moment. How to Apply Send your CV, GitHub/publications, and a short note on how you’ve built or contributed to AI engines or generative systems to hr@acutusai.com

Job Title: AI-ML Engineer Location: Pune Experience: 3–7 Years Job Summary: We are looking for an experienced AI/ML Engineer to join our team and contribute to the development of scalable machine learning systems. You will work across teams to design, implement, and optimize end-to-end ML pipelines in a high-performance, real-time environment. Key Responsibilities: Collaborate with teams in Data Science, Engineering, and Operations to address large-scale ML challenges. Build and manage end-to-end ML pipelines including data processing, training, and deployment. Optimize models for performance, hyperparameter tuning, and training efficiency. Leverage deep learning frameworks and cloud platforms for scalable model deployment. Ensure seamless integration with distributed systems and data ecosystems. Required Skills: 2+ years of Python programming experience. 1+ year in ML methods : classification, clustering, recommendation, optimization, graph mining, or deep learning. 2+ years Experience with distributed frameworks ( Hadoop, Spark, Kubernetes ). 2+ years Experience with DL tools like TensorFlow, PyTorch, or Keras . 2+ years Experience with Cloud experience (AWS/GCP/Azure) . Excellent communication skills. Must Have : Prior AdTech experience (DSP, SSP, Ad Exchange). M.Tech or Ph.D. in Computer Science, Software Engineering, Mathematics, or a related field.

About Jivi Jivi is an AI-powered healthcare platform designed to transform primary healthcare for 8 billion people. Jivi is building an AI doctor to help consumers and medical professionals globally. Founded by Ankur Jain , GV Sanjay Reddy , and Andrew Ng ’s AI Fund , Jivi is built on a cutting-edge agentic AI platform. Its proprietary LLM model, Jivi MedX , has surpassed industry benchmarks, outperforming global LLM models in clinical reasonings. More than 120,000 people have already used Jivi from 50+ countries. Job Overview We are looking for a talented and driven AI Engineer / Data Scientist with expertise in AI and Machine Learning to join our innovative team. You will design and implement AI algorithms, work on machine learning models, and contribute to the core AI technology that drives our healthcare solutions. Responsible for analyzing large datasets, you'll extract meaningful insights to inform healthcare decisions and improve patient outcomes. Key Responsibilities Healthcare Domain Knowledge (Optional): While not mandatory, a background in healthcare, medical imaging, or related fields is a valuable asset. Strong Analytical Skills: A keen analytical mind with the ability to extract actionable insights from complex datasets and a passion for applying AI to solve real-world challenges. AI/ML Model Development: Design, develop, and deploy machine learning models and algorithms to address various business challenges. Data Analysis and Preprocessing: Perform data collection, cleaning, preprocessing, and exploratory data analysis to ensure data quality and readiness for modeling. Feature Engineering: Identify and create relevant features to improve model accuracy and performance. Model Evaluation and Validation: Evaluate model performance using appropriate metrics and validate results through rigorous testing. Collaboration: Work closely with cross-functional teams, including data engineers, software developers, and domain experts, to understand requirements and deliver effective solutions. Research and Innovation: Stay up-to-date with the latest advancements in AI/ML and continuously explore new techniques and technologies to enhance our capabilities. Documentation: Document methodologies, processes, and results to ensure transparency and reproducibility. Team Player: Strong interpersonal and teamwork skills to collaborate effectively with multidisciplinary teams and contribute to a culture of innovation and excellence. Technical Skills Programming Skills: Strong proficiency in Python with familiarity in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Experience with TensorRT and NVIDIA Triton Server is a plus. Model Expertise: Extensive experience with Convolutional Neural Networks (CNNs), diffusion models, and transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models. Multimodal Proficiency: In-depth knowledge and experience with large language models (LLMs) and multimodal AI. Algorithmic Understanding: Strong understanding of a wide range of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques. Experience & Qualifications Work Experience: Minimum 3+ years of proven experience as AI researcher or similar. Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience). Why Join Us? Work on cutting-edge AI-powered healthcare solutions that impact billions. Opportunity to lead and shape Jivi’s growth strategy in a high-growth, fast-paced environment. Competitive salary, performance-based incentives, and career growth opportunities. How to use Jivi? iOS app Android app WhatsApp Economic Times - https://tinyurl.com/m3kep5at Reuters - https://tinyurl.com/mpcs6dpx Inc42 - https://tinyurl.com/emsdas55 Many more - https://www.jivi.ai/news

Minimum of (4+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Job Location: Chennai, Bangalore, Noida, Hyderabad As a Gen AI Researcher, you will develop and optimize domain specific large language models (LLMs) and small language models (SLMs) to address unique domain specific challenges and deliver innovative solutions. Your role includes creating advanced SLMs and LLMs for specific domains, focusing on supervised fine tuning, reinforcement learning from human feedback (RLHF), pre and post training, evaluation, and multi-modalities. Key Responsibilities: Conduct cutting edge research in the field of NLP and develop advanced SLMs and LLMs tailored to domain specific applications. Design, implement, and optimize language models to solve domain specific problems effectively and efficiently. Analyze and preprocess large datasets to ensure high-quality input for training SLMs and LLMs. Design and Evaluate the performance of language models using appropriate metrics and benchmarks, and iterate on improvements. Developing and implementing methods that extend and improve model capabilities, reliability, and safety Work closely with cross functional teams, including domain experts, data engineers, and software engineers, to integrate language models into the production. Publish research findings in top tier conferences and journals, and communicate results to both technical and non technical stakeholders. Keep abreast of the latest advancements in the field of NLP, ML, and AI, and apply relevant techniques to ongoing projects. Qualifications: Ph.D. in Computer Science, Computational Linguistics , Data Science, Artificial Intelligence, or a related field with a focus on NLP or ML. Bachelor's or Master’s degree in Computer Science, Computer Engineering, relevant technical field. At least 1 year of experience in developing and optimizing SLMs and LLMs, focusing on foundation model training, supervised fine tuning, reinforcement learning from human feedback (RLHF). Solid understanding of various fine-tuning techniques like full fine tuning, PEFT techniques like LoRA, QLoRA and the strategy to adopt for various objectives Have solid ML and RL software engineering and scientific research skills Have produced novel research related to fine tuning SLMs / LLMs or improving upon pretrained SLMs / LLMs Proven experience in Gen AI libraries / frameworks, including but not limited to LangChain, LangGraph, LlamaIndex and LangSmith. At least 5 years of Research experience in one or more of these areas: NLP, speech, computer vision, Multimodal, machine learning, deep learning, or related fields. Proficiency in programming languages such as Python, and experience with NLP/ML frameworks like TensorFlow, PyTorch, and Hugging Face, as evidenced by released code (e.g. on GitHub) or elsewhere Familiarity with domain specific applications and the ability to translate domain knowledge into effective language models. Knowledge of Responsible AI practices and compliance with relevant laws is a plus. Industry experience with large-scale data processing, distributed computing, or cloud platforms. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms is a plus. Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences. Ability to work collaboratively in a team environment and contribute to a positive and productive work culture.

Position Overview: We are seeking a highly motivated and talented AI & ML Intern to join our team and assist in the development and implementation of AI-driven solutions. This internship offers a unique opportunity to gain hands-on experience in leveraging AI and ML techniques to solve real-world healthcare challenges. Responsibilities: Collaborate with cross-functional teams to understand business requirements and develop AI/ML models that address healthcare-related problems. Assist in data collection, preprocessing, and feature engineering to prepare datasets for analysis and modeling. Build and train predictive models using Python and popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Implement data pipelines and workflows, incorporating SQL for data retrieval and manipulation. Explore and experiment with advanced AI techniques, including deep learning, natural language processing, and computer vision. Contribute to the design and evaluation of algorithms, conducting experiments and analyzing results to improve model performance. Stay current with emerging trends and technologies in AI, ML, and healthcare to inform project development and decision-making. Qualifications: Have a degree or Pursuing a degree in Computer Science, Data Science, Engineering, or a related field. Strong proficiency in Python programming and SQL database management. Familiarity with AI and ML concepts and algorithms, demonstrated through coursework, projects, or relevant experience. Exposure or experience with AI techniques such as deep learning, reinforcement learning, or generative adversarial networks is a plus. Passion for healthcare and a desire to apply AI/ML to address challenges in the industry. Excellent problem-solving skills, analytical thinking, and attention to detail. Ability to work independently as well as collaboratively in a fast-paced, dynamic environment. Strong communication skills and the ability to convey technical concepts effectively. Benefits: Gain hands-on experience working on impactful projects at the intersection of AI, ML, and healthcare. Collaborate with a talented and passionate team of professionals dedicated to driving innovation. Mentorship and guidance from experienced AI and healthcare professionals. Opportunity to contribute to meaningful advancements in personalized healthcare and make a positive impact on patient lives. Flexible working hours and the possibility of remote work arrangements. Potential for future career growth and opportunities within the company. Location: Remote 100% If you're passionate about leveraging AI and ML to revolutionize healthcare and eager to make a difference, we want to hear from you! Join us on our journey to transform the future of healthcare. Apply now by sending your resume and a cover letter outlining your interest and qualifications for the AI & ML Intern position. Location: Delhi / NCR, Bengaluru ,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

AI/ML Instructor Location: Gurugram, Haryana Hybrid Job Summary Saras AI Institute is seeking a passionate and knowledgeable AI/ML Instructor to lead live, interactive sessions in Artificial Intelligence, Machine Learning, and foundational Computing. This role is ideal for professionals who thrive in teaching, enjoy mentoring students, and want to shape the future of AI education through innovative, real-time engagement. The instructor will deliver high-quality learning experiences, provide personalized student support, and collaborate on curriculum design. Reporting to the Chief Academic Officer, you will be instrumental in creating a dynamic, inclusive, and industry-relevant academic environment. Key Responsibilities 1. Live Instruction & Engagement Deliver engaging, hands-on live sessions in AI/ML and Computing. Simplify complex technical concepts using real-world examples and interactive teaching methods. Foster active student participation and create a collaborative learning atmosphere. 2. Learner Support & Mentorship Provide timely and thoughtful responses to student queries. Offer one-on-one academic mentorship and support outside of live sessions. Monitor student progress and recommend personalized learning strategies. 3. Assessment & Feedback Design, evaluate, and grade projects, assignments, and quizzes. Provide constructive feedback to help learners grow academically and professionally. Maintain grading consistency aligned with academic goals and industry benchmarks. 4. Content Enhancement & Curriculum Collaboration Work with the curriculum development team to update course materials in sync with the latest AI/ML advancements. Introduce practical applications, case studies, and tools such as TensorFlow, PyTorch, Scikit-learn, etc. Recommend improvements based on student feedback and learning outcomes. 5. Administrative Contributions Maintain accurate academic records, including attendance and performance logs. Participate in team meetings, peer reviews, and training workshops. Contribute to Saras AI’s vision of making elite AI education accessible and engaging. Qualifications Education: Master’s degree (minimum) or Ph.D. in Computer Science, AI, Machine Learning, Data Science, or a related discipline from a recognized institution. Experience: Prior experience in teaching, tutoring, or academic mentoring at the undergraduate or professional level. Strong command over tools, languages, and libraries used in modern AI/ML (e.g., Python, NumPy, Pandas, Keras). Demonstrated experience in online teaching or live session facilitation. Skills: Excellent verbal and written communication skills. Strong conceptual clarity and ability to explain topics in an accessible manner. Proficiency with LMS platforms and virtual teaching tools (e.g., Zoom, MS Teams, Moodle, Canvas). Passion for teaching, learning, and mentoring students from diverse backgrounds. Why Join Saras AI Institute? Competitive compensation structure Remote flexibility and performance bonuses Opportunity to shape next-generation AI talent Work with a mission-driven team on cutting-edge education initiatives Access to continuous learning and upskilling resources About Saras AI Institute Saras AI Institute is the world’s first AI-only, US-based online university. We are transforming higher education by delivering industry-aligned, tech-driven, and accessible programs in Artificial Intelligence and related fields. Our global faculty and learners are at the forefront of the future of learning.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are looking for an AI/ML Specialist with expertise in clustering algorithms, dimension reduction algorithms, and anomaly detection techniques on large datasets. The ideal candidate will be well-versed in unsupervised learning techniques and have solid proficiency in Python and various ML modules such as PyTorch, TensorFlow, or Scikit-learn. Additionally, the candidate should have extensive knowledge of Snowflake, Databricks, and Azure services like Azure ML and AKS. Knowledge of healthcare and FHIR standards. Primary Responsibilities Develop and implement clustering algorithms to analyze large datasets and detect anomalies Apply dimension reduction techniques to enhance data processing and model performance Utilize unsupervised learning techniques to uncover patterns and insights from data Select, write, train, and test AI/ML models to ensure optimal accuracy and performance Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems Utilize Python and ML modules (PyTorch, TensorFlow, Scikit-learn) for model development and deployment Leverage Snowflake and Databricks for data warehousing and management Utilize Azure services such as Azure ML and AKS for model deployment and management Continuously monitor and refine models to improve their effectiveness Document processes and results, and present findings to stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field Proven experience in developing and implementing clustering algorithms, dimension reduction techniques, and anomaly detection Experience with Azure services (Azure ML, AKS) Knowledge of Snowflake and Databricks Proficiency in Python and ML modules (PyTorch, TensorFlow, Scikit-learn) Solid understanding of unsupervised learning techniques Proven excellent problem-solving skills and attention to detail Proven ability to work independently and as part of a team. Proven solid communication skills to convey complex technical concepts to non-technical stakeholders At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 26th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer 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) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 26th June 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.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 26th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 26th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer 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) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 26th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 26th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 26th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

JD:- AL/ML Program Manager 15 + years of Experience Bangalore Role: Lead Cross-Functional Teams : Oversee and coordinate AI/ML projects, ensuring they align with business objectives and are delivered on time and within budget. Develop Program Plans : Create and manage comprehensive program plans, including budgets, timelines, and resource allocation. Stakeholder Management : Collaborate with stakeholders, including data scientists, engineers, business analysts, and executives, to define project goals and scope. Performance Tracking : Monitor program progress, track performance metrics, and address potential roadblocks. Innovation and Strategy : Drive innovation by staying updated with the latest AI/ML trends and integrating them into the program strategy. Mandatory Skillsets 10+ years of extensive experience in program management, adept at leading diverse teams and managing complex projects. Technical Expertise : Deep understanding of AI/ML technologies, including machine learning algorithms, tools (e.g., TensorFlow, PyTorch), and frameworks. Program Management : Proven experience in managing large-scale AI/ML projects, with strong skills in project planning, execution, and delivery. Leadership : Strong leadership skills with the ability to lead cross-functional teams and manage multiple projects simultaneously. Communication : Excellent communication skills to effectively convey technical concepts to non-technical stakeholders and executives. Analytical Skills : Proficiency in quantitative analysis, cost-effectiveness assessment techniques, and data quality metrics for AI products. Experience : Approximately 15 years of experience in program management, with a significant portion in AI/ML projects. Good to Have Skillsets Cloud Computing : Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their AI/ML services. Business Acumen : Understanding of business processes and the ability to align AI/ML projects with business goals.