3120 Artificial Intelligence Jobs - Page 30

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

Join our Control, Finance Operating (CFO) Artificial Intelligence (AI) Strategies (Strats) team at Goldman Sachs and play a pivotal role in advancing AI initiatives to drive operational efficiency and enhance processes through cutting-edge AI and Generative AI (GenAI) modeling and automation. You will get to work on one of the firm s priorities for 2025, and leverage AI solutions to accelerate and transform business technology as well as enhancing the productivity of our people. As a CFO AI Strategist, you will be at the forefront of designing, developing, and implementing innovative AI solutions across diverse areas including Risk, Controllers, Legal, and other critical domains. This exciting opportunity will see you collaborating with key stakeholders from these divisions to strategically deploy prioritized AI applications, thereby significantly improving our operational efficiency and improving productivity. The CFO AI Strats team operates horizontally across CFO divisions, with a clear mandate to strategically roll out impactful AI applications. Key Responsibilities: Design, develop, and implement advanced AI and GenAI solutions to address complex challenges in Risk, Controllers, Legal, and other domains. Collaborate with stakeholders from various divisions to identify and prioritize AI applications that can drive operational efficiency and process improvements. Leverage state-of-the-art GenAI techniques, including Retrieval-Augmented Generation (RAG), AI agents, and other advanced methodologies, to develop robust AI models and solutions. Partner with business leaders and classic business teams to understand their needs and integrate AI solutions seamlessly into their workflows. Work closely with Goldman Sachs Engineering teams to leverage their technical solutions and infrastructure, ensuring the successful deployment and scalability of AI applications. Continuously monitor and evaluate the performance of AI models, making necessary adjustments to optimize their effectiveness and accuracy. Stay abreast of the latest advancements in AI and GenAI technologies, and proactively identify opportunities to incorporate these innovations into our AI strategies. Qualifications, Experience, and Attributes: Bachelors degree or higher in a quantitative subject such as Computer Science, Mathematics, Statistics, Engineering, or a related field. Proven commercial experience in designing, developing, and implementing AI and GenAI solutions, with a strong focus on practical applications and real-world impact. Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), AI agents, and other advanced AI methodologies. Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions. Excellent collaboration and communication skills, with the ability to work effectively with both technical and non-technical stakeholders. A proactive and innovative mindset, with a passion for staying at the forefront of AI and GenAI advancements and applying them to solve business challenges. Strong programming skills in languages commonly used in AI development, most importantly Python. Familiarity with AI and machine learning frameworks and tools, such as TensorFlow, PyTorch, or similar, is desirable. We re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https: / / www.goldmansachs.com / careers / footer / disability-statement.html

Join the model risk audit team as an experienced audit associate reporting locally to an Audit Director in India. As a Model Risk Audit - Associate within the Model Risk Artificial Intelligence/Machine Learning Audit team, you will have exposure to a variety of modeling techniques (AI/ML and non-AI/ML) and their unique limitations spanning all lines of business (associated products, services and quantitative risk management practices) and use the knowledge to shape business strategy and protect the firm. You will be responsible for designing and developing cutting-edge AI/ML solutions to enhance the efficiency and effectiveness as we execute our model risk coverage strategy. In addition, you will be responsible for conducting independent model risk control assessments to help us anticipate, navigate and assess emerging risks and evaluate controls intended to mitigate model risk across the end-to-end model lifecycle. Job Responsibilities Design, develop and implement AI/ML solutions to automate, optimize and enhance model risk analysis and control testing Evaluate adherence to model development standards, processes, policy and procedures through conducting robust data driven quantitative and qualitative analysis and directly partnering with model developers, model users, model reviewers and governance oversight personnel. Document in high quality well written technical reports model risk control assessments and communicate findings to stakeholders including the Chief Auditor. Identify control weaknesses and/or gaps in the firm s model risk management framework Set standards for robust model risk control assessments and enhance them as needed to adapt to changes in the firm s model risk management framework and/or meet evolving regulatory standards. Lead, plan, manage and execute end-to-end line of business model risk analysis and control assessments and strategic team projects Validate strategic solutions implemented by the firm to address regulatory identified issues related to the firm s model risk management framework and practices. Required qualifications, capabilities and skills PhD or Masters Degree in Mathematics, Data Science, Financial Engineering, Computer Science, Artificial Intelligence Machine Learning or a related field. Minimum 5 years of experience in one or more of the following business roles; AI/ML product development, quantitative model development (including machine learning), model validation, data science or related fields Strong leadership and communication skills (both verbal and written) for writing highly technical reports and driving and influencing change on model-related issues Understanding of and proficiency in programming languages (e.g. Python, R, or equivalent) Understanding of and proficiency in developing and using AI/ML solutions (e,g, Gen-AI, agentic AI, traditional AI) and frameworks (e.g. pytest) to ensure code quality and reliability Understanding of and proficiency in statistics, derivative pricing and machine learning modeling techniques Risk and control mindset with the ability to ask incisive questions, converge on critical matters, assess materiality, and escalate complex and sensitive issues to senior management Strong critical thinking and analytical/quantitative skills to perform model risk analysis against the controls in place intended to mitigate the associated risk

Management Level: Ind & Func AI Decision Science Consultant Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 3-6 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 3-6 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 3-6 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

THE ROLE: We are looking for a Fellow to join AMD s ROCm GPU communications team to enhance AMD s future offerings for GPU networking solutions. You will lead vision, architecture and design of GPU networking and collective communication software. You will identify and evaluate new technologies, innovations, and strategic partners to solve problems in modern data centers. You will mentor top-tier talent and drive high-priority strategic initiatives by collaborating with senior executive leadership in this role. THE PERSON: You are an experienced technical leader that is well versed in state-of-the-art technologies employed in modern data centers with large scale deployments of GPUs for AI/ML and HPC workloads. You are passionate about solving networking and communication problems to scale performance to meet the demands of future workloads. KEY RESPONSIBILITIES: Provide deep technical leadership and guidance for GPU communication technologies, define the technical vision and direction for the GPU communication software stack. Engage with executives and key stakeholders to provide insight into industry trends and recommend strategic initiatives. Influence the future direction of the company s technical portfolio. Represent AMD in leadership positions at industry organizations and standards bodies. Engage with clients and industry partners to deeply understand technical needs, ensuring their satisfaction with tailored solutions that leverage your experience in strategic customer engagements and architectural wins. Collaborate with hardware and software architects, system engineers and business teams in identifying requirements and building roadmaps for future products. Mentor engineers and technical leaders, fostering a culture of innovation and excellence. Help develop the next generation of leaders through coaching, training, and feedback. PREFERRED EXPERIENCE: Experience architecting and developing communication software solutions for accelerators using RDMA and accelerator-to-accelerator fabrics (eg. Infinity Fabric, UALink), from low-level device drivers and OS internals up through applications and AI/ML frameworks Deep expertise with distributed programming models (MPI, SHMEM), and the implementation and optimization of collective communication algorithms Deep expertise with RoCE, RDMA, and network topologies Experience with system software development in C/C++, and GPU software development and parallel programing Analytical and performance analysis skills Effective communication and problem-solving skills Proven history of communication software thought leadership, backed with patents, publications, and participation in industry standards bodies ACADEMIC CREDENTIALS: Bachelor s degree in Computer Science, Computer Engineering, Electrical Engineering, or related Advanced degrees, such as Master s or Ph. D. are preferred Benefits offered are described: AMD benefits at a glance .

Join our Team About this Opportunity The complexity of running and optimizing the next generation of wireless networks, such as 5G with distributed edge compute, will require Machine Learning (ML) and Artificial Intelligence (AI) technologies. Ericsson is setting up an AI Accelerator Hub in India to fast-track our strategy execution, using Machine Intelligence (MI) to drive thought leadership, automate, and transform Ericsson s offerings and operations. We collaborate with academia and industry to develop state-of-the-art solutions that simplify and automate processes, creating new value through data insights. What you will do As a Senior Data Scientist, you will apply your knowledge of data science and ML tools backed with strong programming skills to solve real-world problems. Responsibilities: 1. Lead AI/ML features/capabilities in product/business areas 2. Define business metrics of success for AI/ML projects and translate them into model metrics 3. Lead end-to-end development and deployment of Generative AI solutions for enterprise use cases 4. Design and implement architectures for vector search, embedding models, and RAG systems 5. Fine-tune and evaluate large language models (LLMs) for domain-specific tasks 6. Collaborate with stakeholders to translate vague problems into concrete Generative AI use cases 7. Develop and deploy generative AI solutions using AWS services such as SageMaker, Bedrock, and other AWS AI tools. Provide technical expertise and guidance on implementing GenAI models and best practices within the AWS ecosystem. 8. Develop secure, scalable, and production-grade AI pipelines 9. Ensure ethical and responsible AI practices 10. Mentor junior team members in GenAI frameworks and best practices 11. Stay current with research and industry trends in Generative AI and apply cutting-edge techniques 12. Contribute to internal AI governance, tooling frameworks, and reusable components 13. Work with large datasets including petabytes of 4G/5G networks and IoT data 14. Propose/select/test predictive models and other ML systems 15. Define visualization and dashboarding requirements with business stakeholders 16. Build proof-of-concepts for business opportunities using AI/ML 17. Lead functional and technical analysis to define AI/ML-driven business opportunities 18. Work with multiple data sources and apply the right feature engineering to AI models 19. Lead studies and creative usage of new/existing data sources What you will bring 1. Bachelors/Masters/Ph.D. in Computer Science, Data Science, AI, ML, Electrical Engineering, or related disciplines from reputed institutes 2. 3+ years of applied ML/AI production-level experience 3. Strong programming skills (R/Python) 4. Proven ability to lead AI/ML projects end-to-end 5. Strong grounding in mathematics, probability, and statistics 6. Hands-on experience with data analysis, visualization techniques, and ML frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML) 7. Experience with semi-structured/unstructured data for AI/ML models 8. Strong understanding of building AI models using Deep Neural Networks 9. Experience with Big Data technologies (Hadoop, Cassandra) 10. Ability to source and combine data from multiple sources for ML models Preferred Qualifications: 1. Good communication skills in English 2. Certifying MI MOOCs, a plus 3. Domain knowledge in Telecommunication/IoT, a plus 4. Experience with data visualization and dashboard creation, a plus 5. Knowledge of Cognitive models, a plus 6. Experience in partnering and collaborative co-creation in a global matrix organization. Why join Ericsson What happens once you apply Primary country and city: India (IN) || Bangalore Req ID: 766481

Job Title: Industry & Function AI Decision Science Consultant S&C Global Network Management Level: 9 Consultant Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc. Job Summary : As an Industry & Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making. Roles & Responsibilities: Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain Lead data science engagements, manage delivery teams, and build innovative AI capabilities Develop and implement advanced analytics solutions tailored to client requirements Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions Translate complex data into compelling narratives for effective data storytelling Mentor junior team members and contribute to thought leadership Professional & Technical Skills: Proficiency in Python, R, PySpark, and SQL Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning Hands-on experience in Consumer Goods & Services domain Cloud integration skills with platforms like AWS, Azure, or Google Cloud Experience with optimization techniques (exact and evolutionary) Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer Familiarity with visualization tools like Tableau and Power BI Exposure to large language models (e.g., ChatGPT, Llama 2) Familiarity with version control systems like Git. Additional Information: The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry. About Our Company | Accenture Qualification Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)

About this Opportunity The complexity of running and optimizing the next generation of wireless networks, such as 5G with distributed edge compute, will require Machine Learning (ML) and Artificial Intelligence (AI) technologies. Ericsson is setting up an AI Accelerator Hub in India to fast-track our strategy execution, using Machine Intelligence (MI) to drive thought leadership, automate, and transform Ericsson s offerings and operations. We collaborate with academia and industry to develop state-of-the-art solutions that simplify and automate processes, creating new value through data insights. What you will do As a Senior Data Scientist, you will apply your knowledge of data science and ML tools backed with strong programming skills to solve real-world problems. Responsibilities: 1. Lead AI/ML features/capabilities in product/business areas 2. Define business metrics of success for AI/ML projects and translate them into model metrics 3. Lead end-to-end development and deployment of Generative AI solutions for enterprise use cases 4. Design and implement architectures for vector search, embedding models, and RAG systems 5. Fine-tune and evaluate large language models (LLMs) for domain-specific tasks 6. Collaborate with stakeholders to translate vague problems into concrete Generative AI use cases 7. Develop and deploy generative AI solutions using AWS services such as SageMaker, Bedrock, and other AWS AI tools. Provide technical expertise and guidance on implementing GenAI models and best practices within the AWS ecosystem. 8. Develop secure, scalable, and production-grade AI pipelines 9. Ensure ethical and responsible AI practices 10. Mentor junior team members in GenAI frameworks and best practices 11. Stay current with research and industry trends in Generative AI and apply cutting-edge techniques 12. Contribute to internal AI governance, tooling frameworks, and reusable components 13. Work with large datasets including petabytes of 4G/5G networks and IoT data 14. Propose/select/test predictive models and other ML systems 15. Define visualization and dashboarding requirements with business stakeholders 16. Build proof-of-concepts for business opportunities using AI/ML 17. Lead functional and technical analysis to define AI/ML-driven business opportunities 18. Work with multiple data sources and apply the right feature engineering to AI models 19. Lead studies and creative usage of new/existing data sources What you will bring 1. Bachelors/Masters/Ph.D. in Computer Science, Data Science, AI, ML, Electrical Engineering, or related disciplines from reputed institutes 2. 3+ years of applied ML/AI production-level experience 3. Strong programming skills (R/Python) 4. Proven ability to lead AI/ML projects end-to-end 5. Strong grounding in mathematics, probability, and statistics 6. Hands-on experience with data analysis, visualization techniques, and ML frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML) 7. Experience with semi-structured/unstructured data for AI/ML models 8. Strong understanding of building AI models using Deep Neural Networks 9. Experience with Big Data technologies (Hadoop, Cassandra) 10. Ability to source and combine data from multiple sources for ML models Preferred Qualifications: 1. Good communication skills in English 2. Certifying MI MOOCs, a plus 3. Domain knowledge in Telecommunication/IoT, a plus 4. Experience with data visualization and dashboard creation, a plus 5. Knowledge of Cognitive models, a plus 6. Experience in partnering and collaborative co-creation in a global matrix organization. Primary country and city: India (IN) || Bangalore Req ID: 766481

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Masters degree with 3+ years of experience, OR Bachelors degree with 4+ years of experience.

Designs, implements and maintains quality assurance protocols and methods for processing materials into partially finished or finished products Responsible for planning, implementing and managing compliance of manufacturing and production processes with internal and external safety, quality and regulatory standards requirements for worldwide distribution Designs methods and procedures for inspecting, testing and evaluating the precision and accuracy of production processes, production equipment and finished products Performs analysis of reports and production data to identify trends and recommend updates or changes to quality standards and procedures when necessary May assure compliance to in-house and/or external specifications and standards (i e GLP, GMP, ISO, Six Sigma)

Supports engineering activities such as design, test, check-out, modification, fabrication, and assembly of prototype electro-mechanical systems, experimental design circuitry, or specialized test equipment Applications may include analog, digital and/or video circuits and logic systems Works from schematics, diagrams, written, and verbal descriptions, layouts or defined plans to perform testing, checkout, and trouble-shooting functions Performs operational test and fault isolation on systems and equipment Assists in determining methods or actions to remedy malfunctions Assists in the design, construction, test, and check-out of test equipment Uses manufacturing, test, development, or diagnostic equipment, including, but not limited to, test programs oscilloscopes, signal generators, and specialized test apparatus

Get the passdown Capture information from supervisors and planning reports Build an action plan Implement and communicate the plan Assess and evaluate plan results Make necessary adjustments Monitor progress Maintain equipment Diagnose equipment problems and implement solutions Evaluate problems using validated detailed troubleshooting methods Ensure record keeping/documentation in equipment tracking system Perform preventive maintenance Perform calibrations on area equipment Select and utilize accurate test equipment and tools Align with standardized procedures and guidelines Stay ahead of on process and equipment procedures Keep work areas clean and organized Monitor equipment performance and address deviations Extract data from applicable sources Ensure reliability of data Measure process metrics Identify equipment inaccuracy or inefficiency Communicate trends of machine performance Contain deviation or inefficiencies Communicate information to appropriate personnel Provide communication between ES, Engineering, and Production Communicate with production to relay problems, changes, or request information as needed Provide feedback observations and data to the engineering group to help resolve chronic problems or experiments Customer Service Respond quickly and positively to all customers Reprioritize work when customer needs arise Continuous Improvement Assist engineer on projects to improve overall test equipment efficiency and effectiveness Support continuous improvement projects to improve yield Propose and execute improvement projects to desired results Perform FA analysis from PE request Adhere to and Promote Safety Identify and promptly report hazards Follow safety procedures and area work rules including proper PPE, lockout and chemical safety. Operate and maintain equipment and tools within manufacturers and company guidelines. Use proper lifting techniques and work in an ergonomically correct manner.

As an Automation Engineer, you will be enabling factory automation solutions to aid Assembly Test manufacturing goals on cycle time, inventory, quality and productivity. You are expected to assimilate core expertise on mechanical or electrical design, sub-components, industry best practices, safety requirements. You must collaborate with network teams - site automation, central/ site PEE, procurement, safety EHS - for surfacing opportunities, selecting solution providers, standardizing design, reviewing safety standards. You will build strategic partnership with automation vendors and drive their roadmap to align to Micron needs. Responsibilities and Tasks Establish standards to enable automation solutions Standardize mechanical and electrical design, sub-assemblies, process control & vision solutions Ensure supplier compliance to safety & ergonomic standards, both SEMI and country specific codes Standardize design for WIP carriers - FOUPS, Cassette, Magazine, JEDEC tray, PCB Racks etc Develop and review process tool automation requirements (TAR) catered to AMHS & Stocker interfaces Augment factory tool layout standards catered to AMHS, stockers and ASRS requirements Publish Design for Automation guidelines on new products Review opportunities and build roadmap on global factory automation Approve design review on automation solutions Ensure standardization on designs across the network based on BKMs or prototyping experience Review technical procurement specification (Doc2/TAR) in purchase orders to vendors Establish & review ROI analysis methodology Strategic partnership with automation solution provider Performs research and survey on industrial best practices and automation direction Leverage supplier technology roadmap to align with Micron automation needs Develop and drive innovation that reaps significant bottom-line benefits Provide models for cost and lead-time to drive effective negotiation with suppliers Establish performance KPIs for automation solution at manufacturing network Ensure solutions meet the requirements on payback analysis published Create & publish metrics related to AMHS, stocker and automation tools. Review and drive system performance improvement through CIP program Additional Job Description Manages production support engineering for a specific product or group of products after transfer from design to high volume production. Interfaces with design, process, test and reliability engineering to solve problems. Sustains products with cost reduction and yield improvements.