79 Rnn Jobs - Page 3

Responsibilities: * Design generative AI solutions using LLM, Python, SQL & NLP techniques. * Collaborate with cross-functional teams on project delivery. * Implement RNN, LSTM, GRU models for text analysis.

Job Title - Data Scientist and Analytics Level 9:Consultant Ind & Func AI Decision Science Consultant S&C Management Level:09 - Consultant Location Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Technical (Python, SQL, ML and AI), Functional (Data Scientist and B2B Analytics preferably in Telco and S&P industries) Good to have skills GEN AI, Agentic AI, cloud (AWS/Azure, GCP) Job Summary : About Global Network Data & AI:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About Comms & Media practice: The Accenture Center for Data and Insights (CDI) team helps businesses integrate data and AI into their operations to drive innovation and business growth by designing and implementing data strategies, generating actionable insights from data, and enabling clients to make informed decisions. In CDI, we leverage AI (predictive + generative), analytics, and automation to build innovative and practical solutions, tools and capabilities. The team is also working on building and socializing a Marketplace to democratize data and AI solutions within Accenture and for clients. Globally, CDI practice works across industry to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & Responsibilities: Experienced in Analytics in B2B domain. Responsible to help the clients with designing & delivering AI/ML solutions. He/she should be strong in Telco and S&P domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Data manipulation and aggregation using Python. Propensity modeling using various ML algorithms. Text mining using NLP/AI techniques Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Professional & Technical Skills: Overall 8 years of experience in Data Science B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software Python (must), R, PySpark, SQL (must), BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Qualifications Experience: B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Educational Qualification: B.tech or MSC in Statistics and Data Science

We are looking for a Machine Learning Engineer to join RCM (Revenue Cycle Management) products managing claims, billing and payment processes for healthcare practices. You will work with the team to develop and deploy machine learning models to automate and optimize RCM processes. This role focuses on developing customized models and innovative solutions which can integrate into enterprise applications, ensuring high reliability, security and scalability by following best practices. About you: You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. About the team The athena Collector product is a vital component of the athena One platform, processing billions in client revenue annually. The Data Science team is bringing machine learning to bear against the hardest problem in revenue cycle management in healthcare. We are working with other engineering leaders in athena Collector product to build machine learning into our Best in KLAS suite of products to drive innovation and increase automation. Also, this team is responsible to deploy state-of-the-art machine learning models using cloud technologies. Job Responsibilities As a member of the athena Collector Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following: Identify opportunities for different machine learning techniques and evaluate which are best Assist in developing and deploying ML-based production services to our clients Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so Apply rigorous testing of statistics, models, and code Contribute to the development of internal tools and AI team standards Typical Qualifications: Bachelors or Masters in relevant field: math, computer science, data science, economics 2-4 years of professional experience developing, evaluating and deploying machine learning models Excellent verbal communication and writing skills Experience using machine learning models and libraries, familiarity with NN frameworks a bonus Experience with Python, SQL , Unix Familiarity with NLP or computer vision techniques Experience using the AWS ecosystem a bonus

Dear Candidate, We are hiring a Robotics Engineer to develop intelligent robotic systems for automation and industrial applications. The role requires expertise in robotics programming, sensor integration, and AI-driven automation. Key Responsibilities: Design and develop robotic systems using ROS, C++, and Python. Implement AI-based perception and motion planning algorithms. Integrate sensors, actuators, and embedded controllers. Optimize robotic navigation and real-time decision-making. Test and validate robotic applications in real-world environments. Required Skills & Qualifications: Robotics Frameworks: ROS, OpenCV, TensorFlow Programming: C++, Python, MATLAB Hardware Integration: LIDAR, IMU, Cameras, Actuators Control Systems: PID, Kalman Filters, Path Planning Experience with autonomous vehicles or robotic arms is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Dear Candidate, We are hiring a Robotics Engineer to develop intelligent robotic systems for automation and industrial applications. The role requires expertise in robotics programming, sensor integration, and AI-driven automation. Key Responsibilities: Design and develop robotic systems using ROS, C++, and Python. Implement AI-based perception and motion planning algorithms. Integrate sensors, actuators, and embedded controllers. Optimize robotic navigation and real-time decision-making. Test and validate robotic applications in real-world environments. Required Skills & Qualifications: Robotics Frameworks: ROS, OpenCV, TensorFlow Programming: C++, Python, MATLAB Hardware Integration: LIDAR, IMU, Cameras, Actuators Control Systems: PID, Kalman Filters, Path Planning Experience with autonomous vehicles or robotic arms is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Dear Candidate, We are hiring a Machine Learning Engineer to develop and deploy AI models for real-world applications. The role requires expertise in data science, model training, and cloud-based ML solutions. Key Responsibilities: Build and deploy ML models using TensorFlow, PyTorch, or Scikit-learn. Optimize models for performance and scalability. Develop data pipelines and feature engineering processes. Deploy ML solutions using AWS SageMaker, Azure ML, or Google Vertex AI. Collaborate with data scientists and software engineers to integrate AI into products. Required Skills & Qualifications: Machine Learning: TensorFlow, PyTorch, Scikit-learn Programming: Python, R Cloud ML: AWS SageMaker, Azure ML, Google Vertex AI Experience in NLP, Computer Vision, or Time Series Analysis is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

( Embedding techniques MUST ) We are looking for high-energy generalists with a focus on NLP Engineer to deliver theoretically elegant algorithms, practically efficient and well-engineered solutions to complex problems. Skills we need: Build, improve and extend NLP capabilities Research and evaluate different approaches to NLP problems Must be able to write code that is well designed, produce deliverable results Write code that scales and can be deployed to production Ability to design and execute A/B tests through a framework Knowledge of association mining, named entity recognition and vector representations of textual data Knowledge of neural networks - RNN, LSTM Ability to apply machine learning to problems that deal with language Strong knowledge of Python, and general software development skills Strong knowledge in data structures and algorithms. Qualifications: 3+ years of work experience in data. Good communication skills with analytical and problem solving abilities. Must be a good team player. Should have led a team technically, responsible for POCs, designed the solution and provided the estimate as per requirements.

We are looking for high-energy generalists with a focus on NLP Engineer to deliver theoretically elegant algorithms, practically efficient and well-engineered solutions to complex problems. Skills we need: Build, improve and extend NLP capabilities Research and evaluate different approaches to NLP problems Must be able to write code that is well designed, produce deliverable results Write code that scales and can be deployed to production Ability to design and execute A/B tests through a framework Knowledge of association mining, named entity recognition and vector representations of textual data Knowledge of neural networks - RNN, LSTM Ability to apply machine learning to problems that deal with language Strong knowledge of Python, and general software development skills Strong knowledge in data structures and algorithms Qualifications: 3+ years of work experience in data. Good communication skills with analytical and problem solving abilities. Must be a good team player. Should have led a team technically, responsible for POCs, designed the solution and provided the estimate as per requirements

We are looking for high-energy generalists with a focus on NLP Engineer to deliver theoretically elegant algorithms, practically efficient and well-engineered solutions to complex problems. Skills we need: Build, improve and extend NLP capabilities Research and evaluate different approaches to NLP problems Must be able to write code that is well designed, produce deliverable results Write code that scales and can be deployed to production Ability to design and execute A/B tests through a framework Knowledge of association mining, named entity recognition and vector representations of textual data Knowledge of neural networks - RNN, LSTM Ability to apply machine learning to problems that deal with language Strong knowledge of Python, and general software development skills Strong knowledge in data structures and algorithms. Qualifications: 3+ years of work experience in data. Good communication skills with analytical and problem solving abilities. Must be a good team player. Should have led a team technically, responsible for POCs, designed the solution and provided the estimate as per requirements.

Job Description : - Working knowledge of deep learning, statistics. - Experience in Deep learning using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and LSTM - Strong knowledge on deep learning applications with computer vision, image captioning, video analysis, image manipulation, image segmentation, object detection and feature mapping. - Thorough understanding of state-of-the-art DL concepts (Sequence modelling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data. - NLP expertise, especially in Language modelling, experience in using pre-trained language models (Transformer /GPT /BERT). - Knowledge of the Industry 4.0 process - inventory optimization, smart factory, times optimization, quality control, and industrial automation. - Great programming skills with expertise in Python development standards. - Familiarity with code production standards and version control systems - Excellent communication skills

Job Description : - Working knowledge of deep learning, statistics. - Experience in Deep learning using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and LSTM - Strong knowledge on deep learning applications with computer vision, image captioning, video analysis, image manipulation, image segmentation, object detection and feature mapping. - Thorough understanding of state-of-the-art DL concepts (Sequence modelling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data. - NLP expertise, especially in Language modelling, experience in using pre-trained language models (Transformer /GPT /BERT). - Knowledge of the Industry 4.0 process - inventory optimization, smart factory, times optimization, quality control, and industrial automation. - Great programming skills with expertise in Python development standards. - Familiarity with code production standards and version control systems - Excellent communication skills

We are looking for high-energy generalists with a focus on NLP Engineer to deliver theoretically elegant algorithms, practically efficient and well-engineered solutions to complex problems. Skills we need: Build, improve and extend NLP capabilities Research and evaluate different approaches to NLP problems Must be able to write code that is well designed, produce deliverable results Write code that scales and can be deployed to production Ability to design and execute A/B tests through a framework Knowledge of association mining, named entity recognition and vector representations of textual data Knowledge of neural networks - RNN, LSTM Ability to apply machine learning to problems that deal with language Strong knowledge of Python, and general software development skills Strong knowledge in data structures and algorithms. Qualifications: 3+ years of work experience in data. Good communication skills with analytical and problem solving abilities. Must be a good team player. Should have led a team technically, responsible for POCs, designed the solution and provided the estimate as per requirements.

Job Title Data AI Telecom Analytics Level 9 - SC Global Network CMT Management Level:9 Consultant Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Data Science, Predictive Analytics, Model building, Model Production, Data Analysis, Data Visualization, Storytelling, Communication, Teamwork Good to have skills: Vertex AI, GEN AI, LLMs, RAGs Accenture Strategy Consulting Global Network - Data AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data AI practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. About Comms Media practice within Strategy Consulting: Comms Media (CM) is one of the Industry Practices within Accenture's SC Global Network team. It focuses in serving clients across specific Industries Communications, Media Entertainment. Communications Focuses primarily on industries related with telecommunications and information communication technology (ICT). This team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers Media Entertainment Focuses on industries like broadcast, entertainment, print and publishingGlobally, Accenture Comms Media practice works to develop value growth strategies for its clients and infuse AI GenAI to help deliver top their business imperatives i.e., revenue growth cost reduction.From multi-year Data AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices.Roles Responsibilities:A Telco domain experienced and data science consultant is responsible to help the clients with designing delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data numbers to craft a story to be presented to senior client stakeholders. Should be able to travel or relocate to Japan as per business requirement. Professional Technical Skills: Overall 5+ years of experience in Data Science at least 3 years in Telecom Analytics Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Demonstrated experience in solving real-world data problems through Data AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Qualifications Experience: Minimum 5+ year(s) of experience is required Educational Qualification: Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school

Job Title - Telecom Analytics Level 7:Manager Ind & Func AI Decision Science Manager S&C Management Level:07 - Manager Location: Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Must have skills:Data Scientist / Transformation Leader & at least 5 years in Telecom Analytics Good to have skills:GEN AI, Agentic AI, Job Summary : About Global Network Data & AI:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About Comms & Media practice: Comms & Media (C&M) is one of the Industry Practices within Accenture's S&C Global Network team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishingGlobally, Accenture Comms & Media practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction.From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & Responsibilities: A Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Professional & Technical Skills: Overall 10+ years of experience in Data Science & at least 5 years in Telecom Analytics Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Qualifications Experience: Overall 10+ years of experience in Data Science & at least 5 years in Telecom Educational Qualification: Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school

This job is provided by apna.co Job TitleLinguist AI Training & Evaluation. CompanyKrutrim (Ola). LocationBengaluru, Kormangala. Employment TypeFull Time. LanguagesPunjabi, Bengali, English, Gujarati, Hindi, Kannada, Malayalam, Marathi, Tamil, Telugu. NoteFluent in any one of the above mentioned languages can apply. About Krutrim. Krutrim (Ola) is a leading innovator in AI and machine learning, specializing in the development of cutting-edge language models and AI-driven solutions. As we continue to grow, we are looking for linguists with expertise in Indian languages, natural language processing (NLP), and large language models (LLMs) to join our dynamic team. Help us shape the future of AI in Indian languages!. Role Overview. Krutrim is seeking a Linguist AI Training & Evaluation for LLM Evaluation to curate high-quality datasets, evaluate language models, and fine-tune performance using Reinforcement Learning from Human Feedback (RLHF). You will work on evaluating model outputs, DPO Data Set creation, performing comparative analysis, and benchmarking Krutrim™s AI models against industry standards. Key Responsibilities. Data Set CreationDevelop high-quality, multilingual data for training large language models (LLMs), ensuring linguistic diversity and cultural relevance in Indian languages. LLM EvaluationConduct rigorous evaluation of NLP models and AI language models. Benchmark model performance against internal and external systems to ensure accuracy, relevance, and coherence. Supervised Fine-Tuning (SFT) & RLHFApply supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) techniques to improve model performance and adapt to specific tasks. Model BenchmarkingPerform benchmarking of AI models to ensure that Krutrim™s LLMs perform competitively in real-world applications. Model Response EvaluationEvaluate the quality of model responses across various tasks and benchmarks. Ensure alignment with desired output accuracy, contextual understanding, and linguistic precision. Collaboration with Cross-Functional TeamsWork closely with data scientists, engineers, and AI researchers to integrate linguistic insights and optimize machine learning models for Indian languages. Desired Skills & Qualifications. Linguistic ExpertiseNative-level fluency in one or more Indian languages, with excellent command over English. Proficiency in multilingual linguistics is a plus. AI & NLP KnowledgeStrong understanding of Natural Language Processing (NLP), machine learning models, deep learning frameworks, and large language models (LLMs). Model Evaluation Skills: Proven experience in evaluating AI models, including benchmarking, fine-tuning, and model assessment. Attention to DetailStrong ability to identify linguistic nuances, model errors, and biases in AI model outputs. Data ManagementSkilled in managing and curating large datasets, understanding of data preprocessing and data cleaning for AI model training. Analytical MindsetAbility to perform quantitative and qualitative assessments of AI model performance, including the development of evaluation metrics. Qualifications. EducationBachelor™s or Master™s degree in Linguistics, Language, or Similar experience in the previous jobs. Experience1-3 years of experience in linguistics, NLP, or AI model evaluation, with a focus on large-scale data curation and model performance evaluation. Interested Candidates Can Contact. Mobile Number9591495202 (NoteShare resumes on whatsapp to this number). or. Mail IDPicchukula.priyanka@netambit.net. Show more Show less

Job Responsibilities 1. Understand and Participate in Establishing Requirements Gain a deep understanding of system-level requirements impacting firmware deliverables. Actively participate in the creation of firmware requirements based on system specifications. Collaborate with the broader team to define and improve system-level requirements for hearing aid firmware. Align firmware design with requirements through continuous exploration of the firmware system, review of documentation, and consultations with senior team members. 2. Design and Implement High-Quality Firmware Create designs that meet firmware requirements. At this level, the engineer is expected to solve moderate technical challenges. Senior engineers review solutions for technical sound. Document and review designs, ensuring they provide value and enhance understanding of the firmware. Apply programming knowledge (e.g., C, assembly) to implement firmware on resource-constrained hardware. Follow best practices in firmware development processes such as code reviews, design documentation, and adherence to coding conventions. Update the status of assigned tasks using established issue and project tracking software. Use version control systems to manage code effectively. Investigate, root cause, and resolve firmware issues promptly, providing feedback on potential solutions and their impact to the firmware management team. 3. Verify Firmware Functionality Support the Firmware Verification Team in developing test plans and executing tests to ensure firmware meets high-quality standards at the system level. Review test plans and provide constructive feedback. Conduct unit tests to verify the functionality of developed firmware before passing it to the verification team. Collaborate with Firmware Verification Engineers and others in R&D to identify and resolve issues. 4. Participate Effectively in Project Activities Understand and follow established organizational processes such as Advanced Development and Product Development processes. Work with the Firmware Project Sponsor/Manager to create project plans and provide work estimates for project milestones. Take proactive ownership of project assignments and follow the project management process (Scrum) for assigned projects. Communicate changes to work effort estimates and their potential impact on the project schedule. Provide updates on project activities during sprint reviews, stand-up meetings, and one-on-one meetings. Job Requirements Education and Experience: Education: Bachelors or Masters degree in Electronics and Communication, Computer Science, Embedded Technology, or a related field. Experience: 4-8 years of relevant experience with a BS degree 0-4 years of relevant experience with an MS degree Knowledge and Technical Requirements In-depth knowledge in one or more of the following domains is required: Digital Signal Processing (DSP) Real-time Signal Processing: Knowledge of hardware or embedded systems for real-time signal processing, including the use of microcontrollers, DSP chips, and FPGA. Filtering: Designing and implementing digital filters (FIR, IIR) to remove noise, smooth, or enhance signals. Knowledge of filter design tools and techniques (e.g., Butterworth, Chebyshev filters). Convolution & Correlation: Understanding how to apply these operations to signals to filter or detect patterns. Fourier Analysis: Applying Fourier transforms (FFT, DFT) to analyze signals in the frequency domain, including spectral analysis and signal reconstruction. Time-Frequency Analysis: Familiarity with techniques like Short-Time Fourier Transform (STFT) or wavelet transforms for analyzing non-stationary signals. Adaptive Filtering: Understanding algorithms that adapt their characteristics based on the signal's input, such as LMS (Least Mean Squares) and RLS (Recursive Least Squares). Signal Compression & Coding: Knowledge of data compression techniques (e.g., JPEG, MP3) for efficient transmission and storage of signals. Embedded DSP Experience in implementing DSP algorithms on embedded systems, such as using ARM, TI processors or specialized DSP hardware. Real-Time Operating Systems (RTOS): Experience with real-time operating systems, such as FreeRTOS, VxWorks, or other embedded OS, for scheduling and task management. Hardware/Software Interface: Experience interfacing with hardware components (ADC, DAC, sensors, actuators, etc.). MATLAB/Simulink: Ability to model and simulate DSP algorithms using tools like MATLAB and Simulink. Embedded Development Tools: Familiarity with IDEs (e.g., Eclipse, Keil, IAR Embedded Workbench) and debugging tools (JTAG, oscilloscopes, logic analyzers). Machine Learning (ML) & AI Integration DSP and Machine Learning: Integrating machine learning with DSP to enhance signal processing tasks such as classification, pattern recognition, and feature extraction. Deep Learning for DSP: Familiarity with neural networks, CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), GANs (Generative Adversarial Networks), and other deep learning architectures. Proficiency in using TensorFlow, PyTorch, and Keras Wireless and wired communication protocols. Firmware testing methodologies and tools Proficiency in programming languages such as C or assembly. Familiarity with scripting languages like MATLAB or Python. Understanding of analog and digital circuitry. Competencies, Skills, and Abilities Strong verbal and written communication skills. Driven, methodical, and detail oriented. Ability to work both independently and as part of a team. Proficiency in problem-solving.

About The Role : Client PnP Solutions Architect will develop and enhance a robust PnP AI/ML framework deployed across Intel Client platforms to achieve or surpass platform quality and PnP targets. Insights gained from these deployments and analytics will feed back into future client products and beyond by ensuring continuous improvement. Client PnP Solutions Architect will work on PnP KPIs/KEIs projections on customer configurations by considering dynamic factors like OS upgrades, third-party OEM components, and drivers by deploying insights from PnP AI/ML framework. Qualifications Minimum Qualifications Bachelor degree with 12+ years or Master degree with 10+ years in any of the following field:Computer Science or Data Science and Engineering, Electronics or Electrical Engineering, Applied mathematics, or related technical disciplines. Skills: Strong programming skills in Python, with the capability to debug complex asynchronous systems. Hands-on experience in database design, deployment, and maintenance with programming using dot NET,.NET, LINQ, SQL Server, Web API 2.0, Net Core, JavaScript, C, C++, and Angular. Hand-on experience in creating, and deploying automation scripts using Python, C hash, and batch scripting to streamline workflows and enhance functionality. Experience in windows batch scripting, PowerShell scripting, Python and Windows automation. Working knowledge on development and maintenance of automation solutions for Adobe software, AI applications, 3D gaming platforms, browsers, and Microsoft Teams on Windows OS. Expertise in computer architecture and x86 architecture, working experience in platform, post-silicon and PnP validation. Sound knowledge and experience in various domains such as CPU, AI, Graphics, Gaming and Camera. Machine Learning Expertise: In-depth knowledge of machine learning techniques, including regression, classification, LDA, Naive Bayes, Logistic Regression, and SVM. Deep Learning and Generative AI : Solid understanding of ML/DL techniques, algorithms, and tools. Experience with CNN, RNN (LSTM), and Transformers (BERT, BART, GPT/T5, Megatron, LLMs). Knowledge of various prompt techniques, including zero-shot, few-shot,Experience with database and tools such as SQL, MongoDB, Graph DB, and Elastic Search in native AI applications. ML Ops: Proven experience in deploying and maintaining high-scale AI-based systems.Understanding of scalable deployment of multiple microservices involving LLM-driven RAG and Agent applications in a production environment.Familiarity with Docker, Helm, Kubernetes, etc.Experience with the end-to-end software lifecycle, release packaging, and CI/CD pipeline. Preferred Skills: Good understanding of Computer Architecture and x86 architecture. Experienced in Platform Software Development and Validation. Behavioral traits: Excellent written and oral communication skills.Be able to clearly communicate technical details and concept. Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

About The Role : AI/ML technologist will focus on leveraging advanced capabilities in Deep Learning, Generative AI, and Agentic AI to revolutionize traditional manual validation and debug processes, transforming them into fully automated, intelligent systems which aim to reduce human intervention, enhance accuracy, and scale validation workflows to meet increasing demands.AI/ML Technologist will work with internal validation teams and Intel Labs deliver AI based modernization of system integration and validation solutions for client products execution. Researches technical trends and utilizes deep domain and expertise to prototype solutions and develop AI software including open-source libraries and models. Optimizes performance of AI models through deep knowledge and expertise of AI frameworks, algorithms, models, and related hardware. AI/ML Technologist will lead development of self-reasoning systems for improved test case generation, enhancing fault resolution quality, creating AI-assisted debugging solutions for both internal and customer issues, and building automated recommendation systems. Analyzing and elevating the overall customer experience will be crucial for long-term success. By integrating AI, the organization will deliver higher quality products and solutions. Qualifications Minimum Qualifications Bachelor degree with 12+ years or Master degree with 10+ years in any of the following field:Computer Science or Data Science and Engineering, Electronics or Electrical Engineering, Applied mathematics, or related technical disciplines. Skills: Strong programming skills in Python, with the capability to debug complex asynchronous systems. Machine Learning Expertise: In-depth knowledge of machine learning techniques, including regression, classification, LDA, Naive Bayes, Logistic Regression, and SVM. Deep Learning and Generative AI: Solid understanding of ML/DL techniques, algorithms, and tools. Experience with CNN, RNN (LSTM), and Transformers ( BERT, BART, GPT/T5, Megatron, LLMs). Practical experience with Retrieval-Augmented Generation (RAG) and LLM-based applications. Familiarity with LLM function calling, Information Retrieval, Vector Databases, Embedding, and Re rank models. Hands-on experience with large language model (LLM) agentic pipelines. Knowledge of various prompt techniques, including zero-shot, few-shot, Chain-of-Thought, Tree-of-Thought, and React. Database and Tools: Experience with database and tools such as SQL, MongoDB, Graph DB, and Elastic Search in native AI applications. ML Ops: Proven experience in deploying and maintaining high-scale AI-based systems. Understanding of scalable deployment of multiple microservices involving LLM-driven RAG and Agent applications in a production environment. Familiarity with Docker, Helm, Kubernetes, etc. Experience with the end-to-end software lifecycle, release packaging, and CI/CD pipeline. Preferred Skills: Good understanding of Computer Architecture and x86 architecture. Experienced in Platform Software Development and Validation. Behavioral traits: Excellent written and oral communication skills.Be able to clearly communicate technical details and concept. Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

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 | Qualifications 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)

Role & responsibilities Design, develop, and deploy AI models to solve complex business problems and generate actionable insights. Work closely with stakeholders, including business leaders, product managers, and engineers, to understand requirements, define project goals, and develop AI powered solutions. Analyse large, complex datasets to identify patterns, trends, and correlations. Clean, transform, and preprocess data to ensure its accuracy and reliability. Keep abreast of the latest advancements in AI, Machine learning, and big data technologies. Identify and recommend new tools, methodologies, and best practices to improve data science capabilities within the organization. Provide guidance and mentorship to junior data scientists, helping them grow their skills and expertise in data science techniques and methodologies. Collaborate with external partners, such as research institutions or universities, to explore innovative AI approaches and foster collaborative research projects. Ensure compliance with data privacy regulations and ethical guidelines while working with sensitive and confidential data. Preferred candidate profile Ph.D, Masters or Bachelors degree in computer science, AI, Mathematics, or a related field. 4+ years of professional experience in AI, machine learning, or a related field. Good mathematical understanding of machine learning and deep learning algorithms. Proficiency in programming languages such as Python, R, or Scala, along with experience using DL frameworks like TensorFlow, PyTorch etc. Experience in REST API development Strong problem-solving skills and the ability to work independently or in a team-oriented, collaborative environment. Perks and benefits Competitive Salary and Benefits. Opportunity to be part of a fast-paced and growing startup. Grow your career with the company. Ownership - You will own your initiative and be given specific responsibilities. Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment – we truly value you!

Job Description Developing a software pipeline for end-to-end ML Model Inference for specific hardware accelerator by achieving maximum performance & accuracy. Implementing cutting edge deep learning layers for various model categories like CNN, RNN, LSTM, GANs, etc using customized inference pipeline for NN Processor. Hardware architecture aware and computation conscious implementation of solutions in an embedded device and maximize the throughput. Develop tools and applications by producing clean, efficient code. Identify, prioritize and execute tasks based on requirement. Implementation, Review, Debug code, Product Delivery and quick turn arounds. Collaborate with team to brainstorm and create new products. Mentor fresh joiners and foster team culture. Must-Have BE/BTech/MS/MTech graduates with Computer science Engineering with 5+ yrs of experience. Solid programming experience in C/C++ with proven experience as Senior Software Engineer. Experience in implementing kernel intrinsics for Machine Learning or Computer Vision algorithms with a focus on optimization. Extensive experience in software development and project management. Strong analytical and problem-solving skills. Adaptable to execute complex tasks, under tight schedules and dynamic conditions. Familiarity with various operating systems (Linux, Mac OS, Windows). Ability to work independently and manage a team. Excellent organizational and leadership skills. Working knowledge on Deep Learning frameworks (Like ONNX, TensorFlow, PyTorch or Any Hardware Accelerator Software Pipeline Experience). Nice-to-Have Knowledge in Python. Experience in managing team size of 5 or more. Experience Working in an Agile Environment. Experience in using automated testing frameworks.

Responsibilities: Customer & Architecture Interact with customers to define problem statements and technical requirements Design and architect AI/ML cloud solutions using AWS/GCP Create system architecture diagrams and establish best practices for ML systems Define data architecture and model serving strategies Technical Leadership & Development Guide team in building Python-based APIs and AI/ML models Design and implement ML pipeline automation Establish model deployment and monitoring architectures Review technical designs and approve implementation approaches Lead architectural decision-making and technical direction Project & Team Management Overall responsibility for project/program delivery Manage and mentor AI/ML engineers Lead sprint planning and technical grooming sessions Coordinate with cross-functional teams Balance resource allocation and technical debt Qualifications Must have at least 10 years of IT experience with 5+ years experience in designing, developing, deploying, and operationalizing AI/ML solutions. Experience in GenAI and Conversational AI LLMs, frameworks like Lang chain, Llama Index etc, Vector DBs like Pinecone, Elasticsearch, etc. Deep understanding and experience with popular Deep Learning and Machine Learning techniques and algorithms such as LLMs, Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), LSTM, Transformers, Time Series Forecasting, Segmentation, etc. Experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps/LLMOps, Optimization techniques, and AI solution Architecture. Experience with ML Pipelines both On-Prem and Cloud (like SageMaker) Expert in Python as well as open-source frameworks such as PyTorch, TensorFlow, NumPy, etc. Experience in designing cloud-native solutions using AI and other services from Azure, GCP, AWS, etc. Ability to lead Data Engineers and ML engineers to provide guidance on technical architecture and best practices.

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 | Qualifications 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)

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 | Qualifications 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)