1706 Keras Jobs - Page 26

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Develop and implement AI and machine learning strategies for healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Experience in developing solutions in the NLP space and relevant projects Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Roles & Responsibilities:  Understand and design solutions to Business problems leveraging Data science and AI  Should be able to understand and gather the requirement from Stakeholders.  Propose and execute the solution and present the deliverables to Stakeholders.  Manage and optimize the deliverables.  Mentor and Train new team members.  Develop POCs to enhance teams’ capability. Skillsets 1: Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning, Parametric and Non-parametric models.  Experience training and evaluating ML models. Perform statistical analysis of results and refine models.  Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.  Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.  Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modelling.  Use various statistical techniques and ML methods to perform predictive modelling/classification for problems around client, distribution, sales, client profiles, segmentation and provide relevant & actionable recommendations/insights for the business.  Stronghold on Visualization tool (or libraries) like SAS Visual Analytics, Tableau, Python, etc.  Expert in working on Statistical tools (Python/R/SAS).  Experience with cloud computing infrastructure like AWS/Azure/GCP.  Able to develop, test and deploy models on Cloud/Web. Skillsets 2: 1.BERT and Transformer Models: Proficiency in working with BERT and other transformer-based models for various NLP tasks, such as text classification, named entity recognition, question answering, and text generation. Familiarity with fine-tuning BERT on specific downstream tasks using techniques like transfer learning and domain adaptation. 2.Natural Language Processing (NLP): Strong understanding of NLP techniques, including text preprocessing, information extraction, text representation, sentiment analysis, named entity recognition, topic modeling, and information retrieval. 3.Machine Learning and Deep Learning: Proficiency in machine learning and deep learning algorithms and frameworks, such as TensorFlow, PyTorch, scikit-learn, or Keras. Ability to train and evaluate NLP models using supervised and unsupervised learning techniques. 4.Programming Languages: Proficiency in programming languages commonly used in NLP, such as Python, Java, or C++. Ability to write efficient and clean code for data manipulation, model development, and deployment. 5.NLP Libraries and Tools: Familiarity with popular NLP libraries and tools, such as NLTK, SpaCy, Gensim, Stanford NLP, or CoreNLP. Ability to leverage existing librariesfor various NLP tasks and adaptthem to specific use cases. 8.Continuous Learning: Proactive approach to staying updated with the latest advancements in NLP research, technologies, and best practices. Active participation in conferences, workshops, and online forums. Qualifications  MCA/BE/B. Tech. /MBA/M.Stat./M.sc. or equivalent degree in Quant. from reputed institute.  3+ years of relevant experience. Soft Skills:  Excellent organizational skills and ability to prioritize wide range of tasks  Demonstrated initiative and creativity - ability to influence (add value)  Strong interpersonal, communication, organizational and planning skills.

Full time | Work From Office This Position is Currently Open Department / Category: DEVELOPER Listed on Jun 30, 2025 Work Location: CHENNAI BANGALORE HYDERABAD Job Descritpion of Gen AI/ Agentic AI Background Developer 6 to 8 Years Relevant Experience We are looking for a highly skilled and innovative Gen AI / Agentic AI Developer to join our advanced technology team. This role is ideal for a forward-thinking developer with a strong foundation in artificial intelligence and a passion for building intelligent, autonomous systems. The ideal candidate will bring deep technical expertise in AI frameworks, programming, and cloud platforms, along with strong analytical and problem-solving abilities. Key Responsibilities: Design and develop intelligent systems using Generative AI and Agentic AI principles. Build and deploy AI models leveraging frameworks such as TensorFlow, PyTorch, or Keras. Implement and support autonomous decision-making systems, enabling agent-based behaviors and interactions. Analyze complex data sets to derive insights, improve model performance, and support AI-driven functionalities. Integrate AI solutions into scalable environments using cloud platforms like AWS, Azure, or Google Cloud. Employ DevOps practices for seamless CI/CD pipelines, ensuring efficient deployment and iteration cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Communicate AI concepts clearly and effectively to non-technical stakeholders. Contribute to a team-oriented environment, sharing knowledge and participating in problem-solving discussions. Required Technical Skills: Proficiency in programming languages: Python, Java, or C++. Hands-on experience with leading AI/ML frameworks: TensorFlow, PyTorch, Keras, etc. Deep understanding of Agentic AI systems and autonomous workflows. Solid knowledge of cloud services (AWS, Azure, Google Cloud). Familiarity with DevOps tools and methodologies for continuous integration and deployment. Key Competencies: Analytical Thinking: Strong ability to interpret complex data and design intelligent algorithms. Problem-Solving: Creative and critical thinker, able to approach challenges from multiple angles. Communication: Excellent verbal and written skills, capable of explaining technical solutions in layman’s terms. Team Collaboration: A proactive contributor in team environments, focused on shared success. Required Skills for Gen AI/ Agentic AI Background Developer Job Python Java C++ TensorFlow PyTorch or Keras AWS Azure or Google Cloud Our Hiring Process Screening (HR Round) Technical Round 1 Technical Round 2 Final HR Round

Duration 6 Months AI (our general term for data science, machine learning, and deep learning) is one of the most exciting technologies of the decade. This role is your opportunity to build and deploy new AI products and projects from the ground up. You will be part of a team helping chart our AI strategy and define the problems we are solving with AI. You will help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production. Responsibilities Set up and manage our AI development and production infrastructure. Build data ingest and data transformation infrastructure. Identify transfer learning opportunities and new training datasets. Build AI models from scratch and help stakeholders understand results. Deploy AI models into production. Create APIs and help business customers put results of your AI models into operations. Keep the latest AI research relevant to our business domain. Skills & experience: Demonstrated proficiency in multiple programming languages with a strong foundation in statistical platforms such as Python, R, SAS, or MatLab. Experience building AI models in platforms such as Keras, TensorFlow, or Theano. Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects. Proficiency in Python and TensorFlow is must. Requirement: Immediate Joining

Job Title: Machine Learning (ML) Developer Company: MaMo Technolabs LLP Location: Vadodara, Gujarat (Onsite or Remote) Experience Required: 2+ Years Employment Type: Full-Time About Us: MaMo Technolabs LLP is a rapidly growing IT company delivering modern, intelligent, and scalable software solutions. We are expanding our AI/ML capabilities and are looking for a skilled and motivated Machine Learning Developer to join our team and help build smart data-driven products. Key Responsibilities: Design and develop machine learning models for real-world applications Preprocess and analyze structured and unstructured datasets Work on model training, validation, and performance optimization Collaborate with cross-functional teams to integrate ML solutions into web or mobile products Use ML frameworks like TensorFlow, PyTorch, or Scikit-learn Monitor and fine-tune deployed models Stay updated with the latest trends and research in AI/ML Required Skills: 2+ years of experience in ML development Strong knowledge of Python and ML libraries (TensorFlow, Keras, PyTorch, etc.) Experience with data processing tools like Pandas, NumPy Familiarity with APIs and model deployment techniques Solid understanding of algorithms, statistics, and data structures Nice to Have: Knowledge of NLP or Computer Vision Experience with cloud ML services (AWS, Azure, GCP) What We Offer: Remote flexibility or vibrant office culture (your choice!) Exciting AI/ML projects across various industries Supportive team and opportunities for continuous learning Send your Resume to hr@mamotechnolabs.com or +91 9325910095

Job Title: Corporate Trainer – Data Science Location: Gurugram Experience Required: 3+ years in Data Science or related field Industry: EdTech / Training & Development / Data & AI Consulting About the Role: We are looking for experienced and passionate Corporate Trainers to lead engaging and industry-relevant Data Science training programs for working professionals and corporate teams. You’ll be responsible for delivering hands-on, practical knowledge that bridges the gap between theory and real-world application. Key Responsibilities: Design, develop, and deliver training modules on core Data Science topics Conduct live workshops, virtual classes, or recorded sessions as per schedule Customize content as per client or industry-specific needs Provide mentorship and guidance to learners on projects and case studies Evaluate learning outcomes through assessments, quizzes, and feedback sessions Stay updated with latest tools, trends, and advancements in Data Science Collaborate with curriculum designers and product teams to improve content quality Topics You’ll Teach: Python/R for Data Science Statistics & Probability Data Wrangling & Visualization Machine Learning Algorithms (Supervised, Unsupervised) Deep Learning (optional) SQL & Data Engineering basics Tools: Jupyter, Pandas, Scikit-learn, TensorFlow/Keras, Power BI/Tableau Real-world case studies and capstone projects Requirements: 3+ years of experience in Data Science or Machine Learning roles Prior experience in corporate or academic training (preferred) Strong communication and presentation skills Ability to simplify complex topics for diverse audiences Bachelor's or Master’s in Computer Science, Statistics, Mathematics, or related field Familiarity with LMS platforms and training tools (Zoom, Google Meet, etc.) To Apply: Send your resume to Nk@bluparrot.in and JK@Bluparrot.in

What's the role? You will help design and build the next iteration of processes to improve quality of Place attributes employing machine learning. You will maintain up-to-date knowledge of research activities in the general fields of machine learning and LLMs. Utilize machine learning algorithms/LLMs to generate translation/transliterations, standardization/derivation rules, extract place attributes such as name, address, category and hours of operations from web sites using web scraping solutions. Participate in both algorithm and software developments as a part of a scrum team, and contribute artifacts (software, white-paper, datasets) for project reviews and demos. Collaborate with internal and external team members (researchers and engineers) on expertly implementing the new features to the products or enhancing the existing features. With end-to-tend aspects like developing, testing, and deploying. Who are you? You are determined and have the following to be successful in the role: MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, Data Science, or others with an emphasis or thesis work on one or more of the following areas: statistics/science/engineering, data analysis, machine learning, LLMs 2+ years of experience in Data Science field. Proficient with at least one of the deep learning frameworks like Tensorflow, Keras and Pytorch. Programming experience with Python, shell script Applied statistics or experimentation (i.e. A/B testing, root cause analysis, etc) Unsupervised Machine learning methods (i.e. clustering, Bayesian, etc) Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us. Watch Video In this this position you will part of HERE’s Places Ingestion team, which is responsible for discovering Points Of Interest (Places) by processing large volumes of raw data from a variety of sources to improve the content coverage, accuracy, and freshness. You will be part of an energetic and dedicated team that works on challenging tasks in distributed processing of large data & streaming technologies. In addition to the technical challenges this position offers, you will have every opportunity to expand your career both technically and personally in this role.

Hi, We have an immediate requirement for HPC/AI Application Engineer position with our organization SHI Locuz Enterprise Solutions Pvt Ltd. PFB Job details: Work Location - Pune/Mumbai/Bangalore Work Experience - 6+years(relevant) Subject Matter Expert Skills Required- HPC Application Installation & Deployment, AI Application Deployment. PFB JD for your reference: Senior HPC/AI Applications Engineer Experienced HPC/AI Applications Engineer with 5+ years in High-performance computing and AI application deployment. Expert at architecting, optimizing, and benchmarking CPU/GPU-intensive environments, ensuring maximum efficiency in scientific and ML workloads. Mastery over Open-source and Commercial HPC/AI Applications. Deep experience installing, benchmarking, and fine-tuning open-source applications, libraries, and compilers across CPU and GPU platforms. Proficient deploying and optimizing and benchmarking scientific codes (WRF, OpenFOAM, LAMMPS, GROMACS, Quantum Espresso, VASP, NAMD, BLAST, GATK, Ansys, Abaqus, MATLAB, LS‑DYNA, Nastran, CAE/CFX) etc. Compiler & Library Optimization - Advanced user of Intel OneAPI, AOCC, NVIDIA HPC SDK, GNU, LLVM, PGI compilers, and MPI libraries (OpenMPI, MPICH, Intel MPI). Deep profiling insights via Nsight, VTune, PAPI. Expert in AI frameworks: TensorFlow (CPU/GPU), PyTorch, Keras, Theano, Caffe, cuDNN. Strong knowledge of NVIDIANGC, NIM & NeMo. Proficient with workload & resource managers (PBS, LSF, SLURM, Kubernetes). Knowledge of application installation tools source code, cmake, spack, easy build, mamba etc. Benchmarking experience in accelerated HPC: HPL, HPCG, STREAM and MLPerf and scientific applications. Skilled in NVIDIA GPU tuning, CUDA and NIM workflows, kernel optimization, memory throughput tuning, and multi-GPU scaling strategies. Knowledge of frameworks such as Hugging Face, OpenAI, or other GenAI platforms. Knowledge in data preprocessing and model evaluation tool. Fluent in Bash, Python, and other scripting languages to automate installation, deployment, performance testing, and administrative tasks. Strong interpersonal skills; versed in customer interaction, technical documentation, and collaboration with cross-functional teams.

Management Level Definition: Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others. What you will do: Experiment, design, develop and maintain machine learning models and pipelines with a high potential for value and scale. Collaborate with other ML engineers, data scientists, product managers, and other engineers to ensure successful implementation of machine learning solutions. Perform research and testing to develop or customize machine learning algorithms; conduct model training and evaluation as needed; integrate, test, tune and monitor the solutions developed. Research and evaluate new technologies and tools for machine learning. Maintain and update existing machine learning systems. Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases. Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models. Leads the project team for design and development of complex products and platforms, including solution design, analysis, coding, testing, and integration for building efficient, scalable and robust cloud subsystems. Reviews and evaluates designs, test plans, and develops code for compliance with cloud design and development guidelines and standards. Provides tangible feedback to improve product quality and mitigate risks. Represents the engineering team in various technical forums and provides guidance and mentoring to less-experienced team members. Drives innovation and integration of new technologies into projects and activities in the software systems design organization. Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns. What you will need: Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline. Typically, 7-15 years experience. Knowledge and Skills: Strong programming skills in Python & preferrable familiar with Golang Understanding microservice architecture and how they can be built in a containerized, Kubernetes-managed environment is central to all modern cloud-native applications. Designing and integrating software systems running on multiple platform types into the overall architecture. Evaluating forms and processes for software systems testing and methodology, including writing and executing test plans, debugging, and testing scripts and tools. Excellent written and verbal communication skills. Ability to effectively communicate product architectures and design proposals at senior management levels.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Develop and implement AI and machine learning strategies for healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Experience in developing solutions in the NLP space and relevant projects Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Job Title - S&C Global Network - AI - Retail - Consultant - Retail Specialized Data Scientist/ Retail Specialized Data Scientist Level 9 SnC GN Data & AI Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn). Expertise in supervised and unsupervised learning algorithms Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity. Good to have skills: Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing. Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows. Familiarity with designing scalable and efficient data pipelines and architecture. Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly. Job Summary : The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models. Use AI-driven techniques for personalization, demand forecasting, and fraud detection. Use advanced statistical methods help optimize existing use cases and build new products to serve new challenges and use cases. Stay updated on the latest trends in data science and retail technology. Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional & Technical Skills : Strong analytical and statistical skills. Expertise in machine learning and AI. Experience with retail-specific datasets and KPIs. Proficiency in data visualization and reporting tools. Ability to work with large datasets and complex data structures. Strong communication skills to interact with both technical and non-technical stakeholders. A solid understanding of the retail business and consumer behavior. Programming Languages:Python, R, SQL, Scala Data Analysis Tools:Pandas, NumPy, Scikit-learn, TensorFlow, Keras Visualization Tools:Tableau, Power BI, Matplotlib, Seaborn Big Data Technologies:Hadoop, Spark, AWS, Google Cloud Databases:SQL, NoSQL (MongoDB, Cassandra) Additional Information: - Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Bachelors or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

We are looking for a skilled MLOps professional with 3 to 11 years of experience to join our team in Hyderabad. The ideal candidate will have a strong background in Machine Learning, Artificial Intelligence, and Computer Vision. Roles and Responsibility Design, build, and maintain efficient, reusable, and tested code in Python and other applicable languages and library tools. Understand stakeholder needs and convey them to developers. Work on automating and improving development and release processes. Deploy Machine Learning (ML) to large production environments. Drive continuous learning in AI and computer vision. Test and examine code written by others and analyze results. Identify technical problems and develop software updates and fixes. Collaborate with software developers and engineers to ensure development follows established processes and works as intended. Plan out projects and participate in project management decisions. Job Minimum 3 years of hands-on experience with AWS services and products (Batch, SageMaker, StepFunctions, CloudFormation/CDK). Strong Python experience. Minimum 3 years of experience with Machine Learning/AI or Computer Vision development/engineering. Ability to provide technical leadership to developers for designing and securing solutions. Understanding of Linux utilities and Bash. Familiarity with containerization using Docker. Experience with data pipeline frameworks, such as MetaFlow is preferred. Experience with Lambda, SQS, ALB/NLBs, SNS, and S3 is preferred. Practical experience deploying Computer Vision/Machine Learning solutions at scale into production. Exposure to technologies/tools such as Keras, Pandas, TensorFlow, PyTorch, Caffe, NumPy, DVC/CML.

Role & responsibilities Preferred candidate profile Job Title: Senior Python Developer AI/ML Location: [On-site/Remote/Hybrid Location] Experience Required: 6+ years Employment Type: [Full-time Job Summary: We are seeking a highly skilled and experienced Senior Python Developer with strong AI/ML expertise to join our dynamic team. The ideal candidate will play a critical role in designing, developing, and deploying intelligent applications and services. You will collaborate closely with data scientists, ML engineers, and product teams to deliver scalable, high-performance AI solutions. Key Responsibilities: Design, develop, and maintain robust and scalable Python applications with integrated AI/ML components. Build and optimize machine learning models for classification, regression, NLP, computer vision, or recommendation systems. Work with large datasets, perform data wrangling, and implement data pipelines using tools such as Pandas, PySpark, or Apache Airflow. Integrate ML models into production-grade applications and APIs (using Flask, FastAPI, etc.). Collaborate with cross-functional teams including Data Engineering, DevOps, and Product Management to define system architecture and implementation strategies. Participate in code reviews, mentor junior developers, and contribute to best coding practices and documentation. Monitor and improve performance of deployed models and applications. Required Skills and Qualifications: Bachelor's/Master’s degree in Computer Science, Data Science, Engineering, or related field. 6+ years of professional experience in Python development. Strong knowledge of machine learning algorithms, statistical modeling, and data science techniques. Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost . Proficient in data processing and analysis tools like NumPy, Pandas, SQL, Spark . Hands-on experience deploying ML models in production environments. Experience with REST APIs and microservice architecture. Familiarity with containerization tools like Docker and orchestration tools like Kubernetes is a plus. Version control (Git), CI/CD pipelines, and cloud platforms (AWS, GCP, Azure) experience preferred. Excellent problem-solving skills, analytical thinking, and attention to detail.

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key duties & responsibilities Primary responsibilities include: Manage the architectural and technical direction In line with the Business goals on existing as well as new Automation development. Provide technical guidance and architecture support for Automations, Working with IT leadership to understand enterprise technical strategy and help in providing application roadmaps. Enable teams to implement roadmap or in performing modernization activities. Enable leadership and development teams to manage Technical obsolescence / Tech Debt Making sure applications are meeting architecture standards. Estimate, design and develop scalable RPA solution in highly collaborative agile environment. Creation of Intelligent Automation framework including reusable components and ML Model. Understand the business lines aims & aspirations, and define the scope of automation, conduct pre-analyses of the technical feasibility & estimate development time enabling smooth testing and rollout. Identify & implement the right, advance data and analytics tools, Visualization and decision tools like Python\R for real time analytics. Solutioning the business needs/requirements, participate/drive discussions with business for the documentation of the requirements and solution which can be taken by delivery. Coaching, mentoring and developing pool of Staff Engineers and engineers within the organization and ensuring alignment of pool to company-wide vision and strategies. Serves as the point of escalation for Automation Architecture/Design concerns and technical challenges. Qualification Graduate (B.Tech/BE/MCA/BCA/MSc/BSc-Computer Science) or equivalent academic qualification Master Certification Automation Anywhere Experience, Skills and Knowledge Must have Bachelors degree in computer engineering, or similar field. 12+ years hands-on experience on the following of which at least 5 years in leading RPA, Intelligent Automation and managing teams. Should be from Development Background Must have experienced in RPA tool Automation Anywhere and Intelligent Automation with Python and R Expertise in OCR and related technology. Experience in Java, Tensor Flow, Pytorch, Keras, AbbY, HuggingFace, ELK, Splunk RPA frameworks and automation reporting tools Modern engineering practices such as Behavior Driven Development (BDD), Test-Driven Development (TDD), using the Microsoft .NET stack Full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Software development background and scripting with one or more of the following languages: .Net, Java, PowerShell, Python Excellent project management skills. Self-motivated, goal-oriented and persistent; very organized and comfortable producing and managing the details. Experience working with globally distributed teams in a multinational company Familiarity with software architecture principles including open source, object-oriented programming, SaaS, service-oriented architecture, microservices and design patterns; and how architecture impacts team organization and performance. Nice to have Good to have experienced in different RPA and BPM tools like Work Fusion, UiPath and Blue Prism etc. Experience in AI/ML. Knowledge of the healthcare revenue cycle, EMRs, practice management systems, FHIR, HL7 and HIPAA is a major plus. Awareness of DevOps, Agile, Kanban, Scaled Agile Framework (SAFe). Key competency profile Ability to work with cross-functional teams Ability to juggle multiple projects simultaneously Excellent leadership skills Excellent written and verbal communication High attention to detail Experience in customer service Key success criteria Provide automation architectureand detailed technical design documents Alternate design solutions anddecision points by highlighting pros & cons Identify and develop prototypes and leadPoCsfor Bot Architecture that assist in design decisions Provide detailedbuildestimatesto deliver architecture in scope Identify dependencies across various new & existing components/Technology along withtechnicalrisks associated Produce solution architecture document that detail out the architecture blueprint, risks, assumptions andtechnical dependencies On timeand continuousdelivery of Bot Framework and Architecture related components with high quality research and innovative approach following the modern RPA practices and processes. Team Player, ability to direct individual accomplishments toward organizational objectives

Job Title: AI/ML Engineer – Generative AI Specialist Experience: 7-9 Years Location: Chennai/On-site Job Type: Full-Time About the Role: We are looking for a highly motivated AI/ML Engineer with 3–5 years of experience to join our growing team. This role focuses on building and optimizing solutions using Generative AI . You’ll work at the intersection of AI research and real-world application development, helping us deliver next-generation intelligent systems for enterprise use cases. Responsibilities: • Design, build ML models with a focus on LLMs and Generative AI. • Conduct research that contributes to the state-of-the-art in LLM architectures. • Expertise in full and parameter-efficient fine-tuning (LoRA, QLoRA, Adapter, Prefix Tuning), instruction tuning, RLHF, and multi-task learning. • Proficient in model compression (AWQ, GPTQ, GPTQ-for-LLaMA) and optimized inference engines (vLLM, DeepSpeed, FP6-LLM). • Develop and maintain scalable APIs to serve model outputs in production environments. • Collaborate with cross-functional teams (product, data and engineering) to identify AI opportunities and deliver solutions. • Implement Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases (e.g., FAISS, Pinecone). • Database Knowledge: Experience with PostgreSQL. • Research and apply the latest techniques in prompt engineering, model compression, and optimization. • Monitor, evaluate, and continuously improve model performance and reliability. Required Skills & Experience: • Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field. • 7-9 years of hands-on experience in AI/ML development and Expertise in Agentic approach. • Strong programming skills in Python and experience with ML frameworks such as Proficiency in TensorFlow, PyTorch, Keras • Experience in distributed training, NVIDIA AI platforms, and cloud/on-premise infrastructure. • Familiarity with integrating MCP-based architectures into broader system workflows, ensuring semantic consistency and interoperability. • Experience with performance tuning, caching strategies, and cost optimization, particularly in the context of production-grade LLM deployments. • Experience with LLMs, including fine-tuning, prompt engineering, and using frameworks like Hugging Face Transformers. • Familiarity with GenAI techniques and tools such as LangChain, LangGraph, LLMOps, LoRA, and PEFT. • Experience deploying models using FastAPI, Flask, Docker, or on cloud platforms (AWS/GCP/Azure). • Understanding of NLP concepts, deep learning architectures, and transformer models. Preferred Qualifications: • B Tech or MTech in AI -Data Science - Gen AI -Computer Science, Data Science with Real Gen AI Project/Product Development Experience/Fine Tuned LLM Experience is added advantage • Knowledge of AI guardrails, compliance frameworks (e.g., Microsoft AI Guidance), and responsible AI practices. • Previous work on chatbots, copilots, or AI assistants. • Publications, contributions to open-source projects, or participation in AI competitions.

About DeepTek DeepTek is a pioneering healthcare AI company aiming to transform radiology by empowering radiologists with an AI-powered, feature-rich radiology platform and specialized AI models. We leverage cutting-edge technologies to deliver advanced solutions in medical imaging. With a team of over 200+ members, including top-tier application developers, data scientists, and expert radiologists, DeepTek fosters an environment of innovation and collaboration. Job Description We are looking for a Data Scientist who is passionate about working in the healthcare AI domain. This role will involve collaborating with cross-functional teams, including senior data scientists, application developers, and radiology experts, to develop and refine AI solutions for medical imaging. You will gain hands-on experience working on advanced projects and research opportunities in Computer Vision and Deep Learning. Key Responsibilities Develop and optimize deep learning models for medical image analysis, including segmentation, classification, and object detection. Preprocess and clean medical imaging datasets to enhance AI model performance and reliability. Conduct model evaluation, error analysis, and performance benchmarking to improve accuracy and generalization. Collaborate with radiologists and domain experts to refine AI model outputs and ensure clinical relevance. Experience 2-3 years Data Science/Machine Learning experience Required Skills Strong fundamental knowledge of machine learning, computer vision and image processing Demonstrable experience training convolutional neural networks for segmentation and object detection Strong programming skills in Python and familiarity with data science and image processing libraries (e.g., NumPy, pandas, scikit-learn, opencv, PIL). Hands-on experience with deep learning frameworks like Keras or PyTorch. Experience with model evaluation and error analysis. Desired Skills Familiarity with healthcare or radiology datasets. Familiarity with ONNX format Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Company Location Baner, Pune, India https://goo.gl/maps/Fmd22UNSiXYQD2ba9 Please send your resumes at hr@deeptek.ai

This role is for one of Weekday's clients Min Experience: 0 years Location: Bengaluru JobType: full-time Requirements About the Role: We are seeking a motivated and passionate Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for recent graduates or early-career professionals to work on real-world applications of Machine Learning (ML) , Artificial Intelligence (AI) , and Natural Language Processing (NLP) technologies. You'll be part of a team that builds intelligent systems to solve complex problems and deliver value to our customers across domains. If you're a self-starter who's eager to apply theoretical knowledge into practice, experiment with state-of-the-art tools like TensorFlow , and work collaboratively on challenging problems in NLP and AI, this role is for you. Key Responsibilities: Assist in the development, training, and evaluation of machine learning models using Python and libraries such as TensorFlow and Scikit-learn. Support data collection, preprocessing, and transformation tasks to build robust ML pipelines. Collaborate with data scientists, software engineers, and product teams to understand problem requirements and deliver ML-based solutions. Work on natural language processing tasks such as text classification, sentiment analysis, named entity recognition, and language modeling. Implement ML models into production environments and monitor model performance. Conduct research and stay updated with the latest developments in AI/ML and NLP. Optimize and tune models for accuracy, speed, and scalability. Prepare documentation, reports, and presentations to communicate results and findings to stakeholders. Required Skills: Basic understanding of machine learning concepts such as supervised/unsupervised learning, classification, regression, and clustering. Familiarity with Python programming and common ML libraries like TensorFlow, Keras, Scikit-learn, and Pandas. Exposure to natural language processing (NLP) tasks and basic algorithms. Understanding of data preprocessing, feature engineering, and model evaluation techniques. Enthusiasm to learn and work with deep learning models and frameworks. Strong analytical thinking and problem-solving skills. Good communication skills and the ability to work in a collaborative environment. Nice to Have: Internship or project experience in ML, AI, or NLP. Knowledge of neural networks, RNNs, CNNs, or transformer models like BERT or GPT. Experience working with large datasets or on cloud platforms such as AWS, GCP, or Azure. Understanding of version control (Git) and deployment tools (Docker, MLflow, etc.). Participation in ML competitions (e.g., Kaggle) or open-source contributions. Educational Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.

Position Summary POSITION SUMMARY AND PRIMARY RESPONSIBILITIES The Software Engineer develops capabilities required to build software systems using various software and cloud technologies. He/She should have strong analytical, problem solving, Software programming, Software Database, ability to create visualization and interaction layer on Web/Windows with good integration with underlying technology framework and computer operating system such as Windows / Unix. Any exposure to AI/ML and Data science is an added advantage. Responsibilities Develop/Build software application / systems based on the design document across Front-end (web/windows), Back-end (.net/java/python) and Database systems Utilize best practices around design, coding, automated unit, regression testing, and deployment of software to production Work effectively in the agile-at-scale framework Clearly communicate status, updates and plan to project leadership Learn, acquire and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data science will be of additional advantage. Please describe in some detail the level of supervision provided: Report to Project manager or Technical lead or equivalent with general supervision. Required Skills At least one of Java/.Net/Python/NodeJS Good Knowledge of JavaScript At least one of ASP.Net/Angular/ReactJS RDBMS (Oracle/SQL Server/Postgre) and Good Knowledge of SQL Preferable: Knowledge of database management tools like Liquibase / Hibernate Good understanding of Devops (e.g. Azure DevOps) and cloud PaaS. Good understanding of coding standards, ability to debug. Good understanding of Software development lifecycle and processes. Cloud-based (AWS/Azure) deployment of models, performance monitoring and issues troubleshooting Excellent written and oral communication skills Ability to work effectively in a cross-functional team Familiarity with Docker and Git Exposure to AI/ML frameworks in Python, Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles Most of our Full Stack projects use MEAN/MERN stack. So knowledge of this will be an added advantage. POSITION SPECIFICATIONS Bachelor’s degree in Computer Science OR Information Technology.

Job Title: AI/ML Intern Location: Pratap Nagar, Jaipur (On-site) Duration: 3 to 6 Months Internship About the Role: We are seeking a driven and enthusiastic AI/ML Intern to join our on-site team in Pratap Nagar, Jaipur. This internship offers a great opportunity to work on practical machine learning and AI-based projects under expert guidance. Key Responsibilities: Assist in developing, training, and evaluating ML models Work with datasets for preprocessing, cleaning, and feature engineering Support in research and implementation of AI algorithms Collaborate with developers and project leads on real-time AI/ML use cases Required Skills: Strong understanding of Python and libraries like NumPy, Pandas, Scikit-learn Familiarity with basic Machine Learning algorithms Knowledge of TensorFlow, Keras, or PyTorch is a plus Eagerness to learn and solve real-world problems Stipend Structure: 3-Month Internship: ₹10,000 (Total for 3 months) 6-Month Internship: ₹24,000 (Total for 6 months) Note: This is a full-time, on-site internship opportunity based in Pratap Nagar, Jaipur. Remote work is not allowed.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India . Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 4 years of experience coding in a general purpose coding language or in system design, and troubleshooting and advocating for customers' needs, and triaging technical issues. 4 years of experience with 2 or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes. Experience in Computer Networking (e.g., Firewalls, Routing, Load balancing, etc.), web technologies (e.g., HTTP, HTML, DNS, TCP, etc.). Experience in Artificial intelligence (AI) concepts and techniques. Experience with AI model trainings, performance analysis and integration with other Cloud services. Preferred qualifications: 2 years of experience in recommendation systems, NLP, speech recognition, or computer vision. Experience with exploratory data analysis, model development, auxiliary practical concerns in production ML systems. Experience in Generative AI understanding of Prompt Engineering, tokenization. Experience with public cloud services and infrastructure. Experience with troubleshooting ML models (e.g., Tensorflow, Keras, PyTorch). Experience with performance analysis of containerized systems, with understanding of underlying resources like Kubernetes, compute resources. Excellent leadership and influencing skills in AI/ML application, with the ability to lead the design and implementation of AI-based solutions, web services, and debugging tools. About The Job The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate. As a Technical Solutions Engineer, you will be a part of a global team that provides support for customer issues. You will ensure we have the necessary tools, processes, and needed technical knowledge to resolve the issue. In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation and when needed coding/scripting. You will make our products easier to adopt and use by making improvements to the products, tools, processes and documentation. You'll help drive the success of Google Cloud by understanding and advocating for our customer issues. You will work in a Shift Pattern or non-standard work hours as needed, including weekends. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with customers on their ML deployments to resolve issues, achieve production readiness, availability, and scale. Partner with Product and engineering teams to improve products based on customer feedback. Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to improve the product, fix product bugs, drive production. Manage customer problems through effective diagnosis, resolution, documentation, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products. Develop an understanding of Google Cloud’s AI/ML products/solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools for faster diagnosis. Act as consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Role**: Digital : Data Science Required Technical Skill Set: Data Scientist Desired Experience Range: 03 - 08 yrs Notice Period: Immediate to 30Days only Location of Requirement: Hyderabad/Kolkata/Bangalore/Chennai/Pune We are currently planning to do a Virtual Interview Job Description: Must-Have** (Ideally should not be more than 3-5) Proficiency in Python or R for data analysis and modeling. Strong understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with SQL and working with relational databases. Hands-on experience with data wrangling, feature engineering, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Strong understanding of statistics and probability. Ability to translate business problems into analytical solutions. Good-to-Have Experience with deep learning frameworks (TensorFlow, Keras, PyTorch). Knowledge of big data platforms (Spark, Hadoop, Databricks). Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP). Familiarity with NLP, computer vision, or time series forecasting. Exposure to MLOps practices for model lifecycle management. Understanding of data privacy and governance concepts. SN Responsibility of / Expectations from the Role 1 Work with stakeholders to identify business requirements and opportunities for leveraging data. Design and implement advanced analytics models using machine learning and statistical techniques. Clean, process, and analyze large datasets from various sources (structured & unstructured). Develop, test, and deploy predictive models and data pipelines. Create data visualizations, dashboards, and reports to communicate insights to non-technical users. Collaborate with data engineers, analysts, and product teams to integrate models into production environments. Monitor and continuously improve model performance. Stay up-to-date with latest research, tools, and techniques in data science and AI.