779 Matplotlib Jobs - Page 28

We are seeking an experienced Mid-Level Data Scientist for the development of data-driven solutions aimed at identifying and capitalizing on critical business opportunities. You will design and implement predictive models, integrate internal and external data sources, and recommend machine learning strategies that enhance decision-making. This role requires hands-on expertise in model development, strategic collaboration with cross-functional teams, and mentoring junior data scientists. You will contribute to shaping the departments strategy and manage complex projects with a focus on delivering high-impact results. Key Responsibilities: Develop and implement advanced statistical and machine learning models to address business challenges and improve decision accuracy. Communicate findings and model insights effectively to stakeholders, ensuring alignment with business processes and objectives. Innovate and recommend new modeling techniques, tools, and approaches to enhance project outcomes. Collaborate with business teams to design and execute machine learning solutions that drive business value and improve overall decision-making. Identify opportunities for integrating new data sources, both internal and external, to enhance model performance and business outcomes. Develop and manage complex analytical projects, ensuring timely delivery while maintaining high-quality standards. Mentor junior data scientists, fostering a collaborative and growth-oriented team environment. Guide the strategy for machine learning and predictive modeling within the department, ensuring continuous improvement in data-driven decision-making. Qualifications: Bachelors degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering) or equivalent experience. 4-6 years of experience in data science, analytics, or quantitative modeling. Expertise in predictive modeling, machine learning, and statistical techniques such as clustering, classification, and regression. Proficiency in Python and SQL, with a strong understanding of data manipulation and analysis tools. Familiarity with a range of machine learning libraries and frameworks such as NumPy , Pandas , Scikit-learn , XGBoost , LightGBM , TensorFlow , Keras , and others listed below. Experience with big data tools and techniques (e.g., PySpark , Dask , Vaex , Apache Airflow ) is a plus. Strong project management skills and ability to break down complex tasks into manageable steps, ensuring timely project delivery. Proven ability to work collaboratively and influence business partners at all levels. Key Tools and Libraries: NumPy, Pandas, SciPy : Scientific computing, data analysis, and modeling. scikit-learn, XGBoost, LightGBM, CatBoost : Predictive modeling, classification, regression, and large datasets. TensorFlow, Keras, PyTorch : Deep learning, neural networks, distributed training. Plotly, Matplotlib, Seaborn, Altair : Data visualization, interactive dashboards, statistical plots. PySpark, Dask, Vaex : Big data processing and real-time data handling. Apache Airflow, PyCaret : Machine learning automation, pipeline scheduling. SpaCy, Hugging Face Transformers : Natural language processing and text analysis.

Department : Market Innovation Level - Senior position Expertise in supervised, unsupervised, machine learning, deep learning, reinforcement learning, statistics techniques. Proficiency in Python, PyTorch, TensorFlow. Good to have knowledge of Bayesian inference, probability distribution, hypothesis testing, A/B testing, and time series forecasting. Hands-on experience with feature engineering and hyperparameter tuning. Experience with MLflow, Weights & Biases, DVC (Data Version Control). Ability to track model performance across multiple experiments and datasets. End-to-end ML lifecycle management from Data ingestion, preprocessing, feature engineering, model training, deployment, and monitoring. Expertise in CI/CD for ML, containerization (Docker, Kubernetes), and orchestration (Kubeflow). Good to have experience in automating data labelling and feature stores (Feast). Good to have data processing experience in Spark, Flink, Druid, Nifi. Good to have real-time data streaming in Kafka and other messaging systems Designing and optimizing data pipelines for structured data. Good to have hands-on experience with Pyspark. Strong SQL skills for data extraction, transformation, and query optimization. Atleast one database experience such as NOSQL database. Implementing parallel and distributed ML techniques for large-scale systems. Good to have knowledge of model explainability (SHAP, LIME), bias mitigation, and adversarial robustness. Experience in model drift monitoring. Good to have CUDA for GPU acceleration. Good to have choosing between CPU/GPU for different ML workloads (batch inference on CPU, training on GPU). Good to have scaling deep learning models on multi-GPU. Strong presentation skills, including data storytelling, visualization (Matplotlib, Seaborn, Superset), and report writing. Experience in mentoring data scientists, research associates, and data engineers. Contributions to research papers, patents, or open-source projects.

Role: Software Engineer/Developer Work Mode: Hybrid (3days WFO) Primary Skills: SSIS / MSBI, SQL, Python, ETL, DWH and Azure / AWS JD: 8+ dev experience Strong SQL Expertise Strong DWH knowledge preferable with SSIS ETL or Microsoft tools. Good Cloud Exposure (AWS/AZURE) Python Skills, essentially with the most common libraries (pandas, numpy, matplotlib, os, sys, sqlite3) Good to have knowledge on Retail/Distribution Domain or e-commerce. Good Team Player

Job Summary: We are seeking a skilled and data-driven Data Scientist specializing in Sales Analytics to join our dynamic team. In this role, you will leverage your expertise in Python, database technologies, and advanced analytics techniques to derive actionable insights from sales data, optimize processes, and drive data-informed business strategies. A strong understanding of MS SQL and PostgreSQL databases is essential for this role, along with the ability to create actionable plans from data to guide decision-making across the organization. Key Responsibilities: - Data Analysis & Insights: - Analyze large sales datasets to identify trends, patterns, and opportunities for revenue growth. - Perform segmentation, cohort analysis, and predictive modeling to support sales forecasting and target setting. - Database Management & Integration: - Extract, clean, and transform data from MS SQL and PostgreSQL databases to support analytical needs. - Optimize database queries and structures to enhance data accessibility and processing efficiency. - Collaborate with database administrators to ensure seamless integration and performance of analytics tools. - Model Development: - Build and deploy machine learning models to predict customer behavior, sales performance, and market trends. - Develop recommendation systems for cross-selling and upselling opportunities. - Sales Performance Optimization: - Collaborate with sales teams to optimize pricing strategies, sales funnel conversion rates, and customer acquisition efforts. - Design and implement A/B tests to measure the impact of sales strategies and campaigns. - Action Plan Development: - Translate complex data analyses into actionable business recommendations and strategies. - Collaborate with cross-functional teams to implement data-driven action plans and track their success. - Develop workflows and frameworks to integrate data insights into routine decision-making processes. - Dashboarding & Reporting: - Create and maintain dashboards and visualizations to provide stakeholders with real-time insights into sales performance. - Automate routine reporting tasks using Python, MS SQL, and PostgreSQL in combination with business intelligence tools. - Collaboration & Strategy: - Work closely with marketing, product, and finance teams to align data insights with overall business goals. - Present actionable recommendations and strategic insights to senior management and key stakeholders. Qualifications: - Education: - Bachelor's or Masters degree in Data Science, Statistics, Computer Science, Economics, or a related field. - Experience: - Minimum 3 years of experience in data science, preferably with a focus on sales or marketing analytics. - Demonstrated experience working with sales data, CRM systems, or revenue analytics. - Proven experience working with MS SQL and PostgreSQL databases for analytics and reporting. - Technical Skills: - Proficient in Python and its libraries (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn). - Strong knowledge of MS SQL and PostgreSQL, including query optimization, stored procedures, and data modeling. - Experience with data visualization tools like Tableau, Power BI, or similar. - Familiarity with machine learning frameworks such as TensorFlow, PyTorch (preferred), OpenCV etc. - Analytical Skills: - Strong statistical analysis skills and experience applying them in sales forecasting and performance analysis. - Ability to work with complex datasets and solve ambiguous problems creatively. - Soft Skills: - Proven ability to create actionable business strategies based on data-driven insights. - Excellent communication skills to present insights and recommendations to non-technical stakeholders. - Proactive and solution-oriented mindset with attention to detail. Preferred Qualifications: - Experience in sales or e-commerce industry. - Knowledge of marketing analytics, customer lifetime value (CLV) modeling, Basket Analysis, RFM, Product Pricing or churn prediction. What We Offer: - Competitive salary and performance bonuses. - The option for remote work. - Access to cutting-edge tools and technologies. - Opportunities for professional growth and development.

Knowledge of machine learning frameworks and libraries. Familiarity with database technologies such as SQL and NoSQL. Experience with cloud services preferably with AWS Familiarity with version control systems Required Candidate profile 5+ years of experience as a Python Developer with a strong portfolio of projects. A strong understanding of Python and its associated libraries/tools such as Numpy,Matplotlib,Pandas,etc., is required

Some of the key responsibilities include: Data mining involves extracting usable data from valuable sources. Possesses extensive knowledge of Python, including a deep understanding of machine learning libraries. Utilises machine learning tools to select features, create and optimise classifiers, and carry out preprocessing of both structured and unstructured data. Proficient with deep learning models such as ANN, CNN, and NLP. Enhances data collection procedures to encompass all relevant information for developing analytical systems. Processes, cleanses, and validates the integrity of data for analysis. Analyses large volumes of information to identify patterns and solutions. Develops prediction systems and machine learning algorithms. Proposes solutions and strategies to address business challenges. Collaborates with business and IT teams. Required Technical Skills: Programming Skills Knowledge of statistical programming languages such as R and Python, along with database query languages like SQL, is desirable. Statistics Strong applied statistical skills, encompassing knowledge of statistical tests, distributions, regression, and maximum likelihood estimators, are essential for data-driven companies. Machine Learning A good understanding of machine learning methods is required. Strong Math Skills (Multivariable Calculus and Linear Algebra) - Understanding the fundamentals of Multivariable Calculus and Linear Algebra is crucial, as they form the basis of many predictive performance and algorithm optimization techniques. Data Wrangling Proficiency in managing data imperfections is a key aspect of a data scientist's job description. Experience with Data Visualisation Tools such as Matplotlib, which assist in visually encoding data. Required Skills: Good with ML, Computer Vision & DL concepts Strong experience in creating data pipelines Proficiency in database management Hands-on expertise in model retraining and deployment Proficiency in Python coding Cloud AWS/Azure Looking for 6+Yrs of experience. Looking for Immediate to 30 Days of Notice Period (Also Serving NP Professionals)

Role: Python Fullstack Software Engineer Exper: min 15 Years Salary: 24 LPA Candidate must have minimum 6+ years of experience in Python and 5+ years in ReactJS) Location: Chennai, Bangalore Qualifi: Any Regards, Allen 7200495207

Location: Pune (Hinjewadi phase - 1) Job Type: Full-Time Job Overview: We are seeking an experienced AI and Data Scientist Engineer to design and implement data-driven AI solutions that optimize safety, operational efficiency, and compliance for industrial environments. This role involves applying advanced machine learning techniques, data modelling, and analytics to extract actionable insights and drive innovation. Key Responsibilities: 1. AI Development: Design, develop, and deploy AI algorithms and machine learning models for safety systems, predictive analytics, and process optimization. Implement computer vision and NLP solutions for AR/VR applications and industrial safety scenarios. 2. Data Analysis and Modelling: Collect, preprocess, and analyse large datasets from industrial systems and safety processes. Build predictive models, recommendation systems, and clustering algorithms to solve business challenges. 3. Integration and Deployment: Integrate AI/ML models into existing software systems, AR/VR platforms, and training simulators. Develop APIs and tools to make AI capabilities accessible across platforms. 4. Visualization and Reporting: Create intuitive dashboards and visualizations to present data insights to stakeholders. Generate detailed reports explaining analytical findings and model performance. 5. Research and Innovation: Explore and experiment with new AI technologies and frameworks to improve safety and operational efficiency. Conduct feasibility studies for integrating emerging AI techniques into industrial solutions. 6. Collaboration: Work closely with software developers, AR/VR teams, and business stakeholders to align AI solutions with company goals. Qualifications and Skills: Experience: 1-5 years in AI, data science, or related fields with proven experience deploying machine learning models in production. Programming Skills: Proficiency in Python, R, or Java with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Data Tools: Strong knowledge of SQL/NoSQL databases, Hadoop, Spark, or other big data platforms. AI/ML Expertise: Hands-on experience with supervised, unsupervised, and deep learning techniques, as well as reinforcement learning. Analytics and Visualization: Expertise in tools like Tableau, Power BI, or Matplotlib for data visualization. Cloud Platforms: Familiarity with AWS, Azure, or Google Cloud AI/ML tools. Education: Bachelors or Masters degree in Computer Science, Data Science, AI, or related fields. PhD is a plus. Preferred Skills: Experience with Safety software, IoT data, predictive maintenance, or integrating AI with AR/VR solutions is highly desirable. Personal Attributes: Strong analytical and problem-solving skills with meticulous attention to detail. Proactive and self-driven with the ability to work independently and in cross-functional teams. Excellent communication skills for explaining complex AI/ML concepts to non-technical stakeholders. A passion for innovation and continuous learning in AI and data science. Benefits: Opportunity to work on transformative AI-driven projects impacting global safety and efficiency. Exposure to advanced AI/ML technologies and cross-functional collaboration. Competitive salary with long-term career prospects. Professional development and continuous learning opportunities.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : AWS Comprehend Minimum 2 year(s) of experience is required Educational Qualification : BE coding python programming Job Requirements :Key Responsibilities :A Designing, developing, and researching Machine Learning systems, models, and schemes through data science B data analytics prototypes Understanding of Natural Language ProcessingNLP, C Natural Language Understanding NLU and Natural Language Generation NLG Technical Experience :A Python, Pandas,scikit-learn, Tenserflow,pytorch,matplotlib,NLTK B Amazon SageMaker, Amazon Transcribe, Amazon Comprehend, Machine Learning C Lex, Amazon Kendratranscribe, AIML Linguistic, Amazon Bedrock AWS CloudFormation, AWS IAM,Amazon CloudWatch, AWS AppSync API, AWS Lambda Professional & Technical Skills: Must To Have Skills:Proficiency in Python. Good To Have Skills:Experience with AWS Comprehend and Amazon SageMaker. Experience in designing, building, and configuring applications to meet business process and application requirements. Solid grasp of data visualization tools. Strong understanding of software engineering principles. Experience with agile development methodologies.Professional Attributes :1:Excellent verbal and written communications skill 2:Problem Solving ability 3:Willingness to work within a team and prepare to accept delegated workEducational Qualification:Bachelor of Engineering, MCA Qualification BE coding python programming

Responsibilities Develop and deploy computer vision algorithms and deep learning models for diverse problems. Design and implement computer vision models using state-of-the-art techniques and frameworks. Explore and analyze unstructured data like images through image processing. Analyze, evaluate and optimize existing computer vision systems to improve performance and accuracy. Test and validate computer vision code and models, ensuring robustness and reliability. Research and implement new computer vision technologies to stay at the forefront of the field. Collaborate with cross-functional teams to develop innovative solutions that meet project requirements. Monitor the performance and accuracy of computer vision models, making necessary adjustments and improvements. Maintain and update computer vision systems to ensure their continued functionality and relevance. Provide technical support and guidance to team members and customers using computer vision systems. Requirements 3 - 5 years of experience as a Computer Vision Engineer. Bachelor's degree in Computer Science, or a related field. Proven experience in developing computer vision systems, including hands-on implementation and deployment. Strong knowledge of computer vision algorithms, libraries and tools, such as OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, PIL, Matplotlib, Seaborn, etc. Familiarity with tools and libraries commonly used in computer vision projects such as CUDA, OpenCL, OpenGL. Expertise in various computer vision projects, including object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking and model compression/optimization. Knowledge of runtime AI frameworks like ONNX, TensorRT, OpenVINO. Experience in cloud platforms (AWS, Azure), Docker, Kubernetes and GitHub. Experience in training models through GPU computing or on the cloud. Familiarity with machine learning and deep learning concepts and frameworks. Excellent problem-solving skills and the ability to think analytically. Good written and verbal communication skills for effectively communicating with the team and ability to present information to varied technical and non-technical audiences. Ability to work independently and in a fast-paced environment and also be able to work in a team when required. Desired Candidate Profile Experience: 3 - 5 years Location: Bangalore/Coimbatore Qualification: Computer Science or a related field Job Type: Full-Time, Permanent Schedule: Day Shift, Monday to Friday Workplace Type: On-site (Work from Office) Notice Period: Immediate

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Manager Job location :- Bangalore, Hyderabad About S&C - Global Network:- 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. WHAT'S IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. Youll work with Accenture's highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You'll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organizations ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Data Science, or a related field. Over 12 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Demonstrable hands-on experience in designing & flawlessly operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Extensive experience in implementing Generative AI solutions, including incubation, design, and deployment. Strong proficiency in deep learning frameworks such as TensorFlow and PyTorch. In-depth knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with API , Integration architecture , microservices If you are a visionary Machine Learning Architect with a passion for advancing ML maturity, implementing cutting-edge Gen AI solutions, and driving innovation, we invite you to apply and contribute to our organizations success. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Role & responsibilities: Delivery of Key Projects : Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints. Collaboration : Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities. Solution Development : Develop efficient solutions for complex problems, showcasing expertise in data structures like Delta/Parquet, databases, data analytics, Python programming, and statistics. End-to-End Pipeline Management : Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance. Dashboard Design : Design dashboards using Python Dash (plotly) or Flask framework for effective data visualization and reporting. Technological Expertise : Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently. ETL Pipeline Building : Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management. Data Procurement and Management : Independently procure and process data, ensuring seamless integration within the company's overall data management strategy. Technology Exploration : Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company. Technical Skills: Proficiency in Python and common libraries ( Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow ). Strong Knowledge in Statistics and Probability . Set up cloud alerts, monitors, dashboards, and logging systems, and troubleshoot data platform infrastructure as needed. Experience in OpenShift/Kubernetes, Azure ML is desirable. Proficiency in programming languages: Python (Dash) and database query languages SQL or KQL . Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, and regression . Knowledge of DevOps/MLOps . Exceptional analytical and problem-solving skills. Desired candidate profile : Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience. Total of 6 to 10 years of professional experience. Minimum 4 years of experience in data science/machine learning . Minimum 3 years of experience with SQL . Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with Azure being preferred. If the above has triggered your interest, we are looking forward to receiving your application! ** Data Analyst/ Data Engineer profiles are not suitable for this role. Looking for core experience with a Data Scientist role only.

If interested please share the following details on PriyaM4@hexaware.com Total Exp- CTC- ECTC- NP- Loc Proven experience as a Python Developer, with a focus on data wrangling and ETL processes. Strong proficiency in Python and its libraries such as Pandas, NumPy, and Scikit-learn. Knowledge of big data technologies (e.g., Hadoop, Spark) is an advantage. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn) is a plus.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting- Global Network Practice :- Marketing Analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence 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. WHATS IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading 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. Accenture will continually invest in your learning and growth. Youll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 3+ years of experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with nonlinear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working along with the team and consultant/manager Looking for insight and creating a presentation to demonstrate these insights Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Qualifications Who we are looking for? 2+ years for Analyst & 4+ years for Consultant of work experience in consulting/analytics with reputed organization is desirable Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc.

As an Associate level Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. We have 1 of positions open in these locations: Bangalore, Karnataka, India. The below requirements are a guideline. If you have transferable skills we encourage you to apply to this role. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 2+ Years of experience. Technical Skills : Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. Strong knowledge of statistical techniques (e.g., regression, classification, hypothesis testing). Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn, Tableau). Experience working with databases and data storage systems (e.g., SQL, NoSQL). Problem-Solving: Ability to think critically and solve complex problems using data-driven approaches. Communication: Strong written and verbal communication skills to present technical concepts to non-technical stakeholders. Teamwork: Ability to work in a collaborative team environment and contribute to both individual and group projects. Detail-Oriented: High attention to detail and commitment to producing accurate and high-quality work. Preferred technical and professional experience Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for data science workflows. Knowledge of big data technologies (e.g., Hadoop, Spark). Experience with deep learning techniques.

Automation Specialist with Project Management Skills Job Overview: We are seeking highly skilled and enthusiastic Automation & AI knowledge to join our Team. The ideal candidate will have a strong ability to handle and analyze large amounts of data, drive effective decision making and deliver high quality project execution. The role demands flexibility to multitask, manage projects efficiently and build comprehensive project plans to achieve organizational goals. Key Responsibilities: Automation & AI Development: Develop & Deploy AI and Automation solutions using Python to optimize business processes and workflows. Ensure that deployed models are monitored for performance and retain necessary Identify opportunities to enhance existing processes and implement innovative solutions Data Preparation & Analysis: Collaborate with Domain experts to understand business requirements and contextualize data Perform Exploratory Data Analysis (EDA) to uncover trends, patterns and actionable insights Present data insights in a clear and concise manner to drive decisions Project management: Create and manage detailed project plans, timelines & deliverables. Collaborate with cross functional teams to ensure seamless execution of projects Monitor project progress and resolve any roadblocks proactively Collaboration & Communication: Work closely with software developers, data engineers and domain experts to integrate AI capabilities into products and services Communicate findings and recommendations to technical and non technical teams Stay updated with latest trends and advancements in AI & Automation technologies Qualification & Key Skills: Proficiency in Python,VB Macros for Automation development of processes and workflows Experience with data analysis, handling high volume data sets and tools like Pandas, NumPy & Matplotlib Strong problem solving skills with the ability to drive actionable insights from complex data Exceptional Project management and organizational skills Ability to multitask, prioritize and work effectively under pressure Excellent troubleshooting, problem solving and communication skills

All Levels Comms & Media Non-Networks Join our team in Strategy consulting to find endless opportunities and solve our clients toughest challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Comms & Media, Industry Consulting, S&C Global Network (GN) I Areas of Work: Non-Networks | Level: Manager & Sr Manager | Location: Delhi, Gurgaon, Mumbai, Bangalore, Pune, Hyderabad | Years of Exp: 8- 15 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, is the right place for you to explore limitless possibilities. Comms & Media (C&M) is one of the Industry Practices within Accenture's S&C Global Network (GN) 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 dynamic 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 publishing.Globally, works to develop value growth strategies for its clients, who are top-notch organizations, and help improve their offers and go-to-market performance and maximize organizational effectiveness. We work on end-to-end projects delivering management and technology consultancy to help our clients achieve greater profitability, quality, and reliability.From multi-year major systems integration transformation deals to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen technology and industry practices, with the following requirements: Deep expertise in one or more Telecom Domains Lead delivery of small to medium-size teams to deliver management consulting projects for global clients. Lead innovation transformation programs and process enablement for our clients Take responsibility within Comms & Media industry group or across the Products group, help build the practice, track metrics, and so on. Develop assets and methodologies , point-of-view, research, or white papers for use by the team and larger community. Support global sales team to identify and win potential opportunities within the practice. Help in drafting proposals as an expert for domain areas. Lead proposals, business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Understand customer needs and translate them to business requirements, business process flows and functional requirements Experience to engage with stakeholders independently Execute a transformational change plan aligned with client's business strategy and context for change. Engage stakeholders in the change journey and build commitment for change. Bring your best skills forward to excel in the role: Skills in one or more Telecom areas Should have an excellent knowledge on various BSS modules and Telco Journeys such as CRM, Order Management, Billing, Mediation, Provisioning, Collections, Channels, Customer Care, Lead to Cash etc. Digital Transformation - Proven experience in Strategy, Innovation and Digital initiatives across Digital Maturity models, CSPs Operating model, Innovation Barometers, Intelligent operations for CSPs and other related areas Cloud BSS - Determine the appropriate Cloud deployment model & design BSS journey to cloud strategies engineered to accelerate ROI and performance. Good to have knowledge of tools like AWS, Azure, SFDC, etc. Business Strategy - Leading/managing strategic initiatives and develop project plans, frame and conduct insightful analyses, identify solutions, and develop business cases and implementation plans for CSPs across the globe Transformation & Project Governance - Drive profitability and continued success though managing service quality, cost and leadership of the people delivering services across projects/ programs/portfolios of all scale Should have understanding of lean concepts and hands-on experience in delivering technology-driven business transformation projects using agile practices such as Scrum, Kanban, SAFe, etc. Experience in agile related tools like JIRA Confluence/Rally/MS Projects/VersionOne Certification profession in PSM/CSM/SAFe/ICP-ACC Skills in one or more roles Experience in the role of Functional Business Analyst, Product Owners, Process Designers, Service Designers, Scrum Masters, Program Delivery Managers Business Analysis - Gather requirements from business and prepared requirement documents. Propose solutions to the client based on gap analysis for the existing Telco platforms. Analyse large data to conduct analysis and present insights with visualisations Process Improvement - Understand issues with the current processes which can be resolved either through technology or process solutions and design detail level to-be process with all stakeholders Value Architect and Tracking - Create value driver trees to breakdown into value components of business objectives and value drivers Other required skills Communication and Presentation - Plan and deliver well-structured oral and written communications Structured Problem Solving - Help identify and structure key client challenges into hypotheses and conduct analyses to address the challenges Stakeholder Management - Manage mid-level to senior client leadership and lead conversations Impeccable team management skills with an ability to engage effectively with multiple stakeholders Strong program management skills Cross-cultural competence with an ability to thrive in a dynamic environment Qualifications Your experience counts! MBA from a Tier 1 and Tier 2 school and Engineering from Tier 1 school or rich relevant industry experience At least 1-15 years of progressive business and/or telecom and consulting experience Knowledge of Telco BSS/OSS stack, its various components, and interactions / flows Strong telecom industry background experience and knowledge of BSS processes for B2C and B2B areas Knowledge of telecom products across wireline, wireless and Enterprise domains eTOM certification is highly desirable 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 soft skills Experience in strategy and business/technology consulting role conversant with process improvement, cost optimization, customer analytics and experience management, telecom technology etc. Experience in value architecting, business case preparation, value realization Experience in Digital, New IT, Cloud & Core modernization, Cloud transformation processes, transforming legacy to the cloud, Agile transformation, RPA, AI/ML strategy implementation and use cases Knowledge of design thinking workshops and innovation Experience in large data analysis, data driven consulting, BI and analytics, reporting, dashboarding, visualization tools like PowerBI, Tableau Certifications like CBAP, CSM, SPC, Prince 2 or PMP will be an added advantage For Experienced candidates, experience of team Management Coach and mentor team members in projects, on asset development, BDs and overall professional development Whats in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Network (GN) a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network (GN) teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.For more information visit At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, .

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing Analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence 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. WHAT'S IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading 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. Accenture will continually invest in your learning and growth. Youll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. Qualifications What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 3+ years of experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with nonlinear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working along with the team and consultant/manager Looking for insight and creating a presentation to demonstrate these insights Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Who we are looking for? 2+ years for Analyst & 4+ years for Consultant of work experience in consulting/analytics with reputed organization is desirable Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Responsibilities Asset Engineering is looking for a talented Python Developer with a strong background in SQL server and experience in both data processing and database management to join our growing team. In this role, you will be responsible for developing efficient Python applications and scripts, working with SQL Server databases for data extraction, manipulation, and analysis. Familiarity with data science libraries is a plus, as is experience with cloud platforms like IBM Cloud or Microsoft Azure. Key Responsibilities: Design and develop AI agentic applications using Python programming languages Collaborate with cross-functional teams to identify and prioritize project requirements Integrate AI models with Salesforce, Watsonx Assistant, Watsonx Orchestrate, Slack and other web applications using RESTful APIs and web frameworks such as Spring Boot or Flask/FastAPI. Develop and maintain databases using relational databases PostgreSQL and VectorDB. Ensure high-quality software development by following best practices, testing, and validation Develop and maintain Python applications for data processing, automation, and analysis. Use data science libraries (e.g., pandas, NumPy) to process and analyze data, providing insights and support for analytics needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s degree in Computer Science, Data Engineering, or a related field. 5+ years of experience with Python, with a strong proficiency in SQL Server. Solid understanding of relational databases, data modeling, and database query optimization. Experience with data processing libraries like pandas and NumPy. Strong analytical and problem-solving skills with an eye for detail. Preferred technical and professional experience Experience with cloud platforms (IBM Cloud or Microsoft Azure) & Familiarity with serverless functions in Azure (Azure Functions) using Python. Experience with Microsoft SQL Server. Experience with build tools like Jenkins. Experience with Angular for front-end development. Familiarity with additional data science libraries (e.g., scikit-learn, Matplotlib) is a plus.

Entity :- Accenture Strategy Consulting Team :- Strategy Consulting Global Network Practice :- Communications Media - AI Data Architectures Title :- IF Decision Sci Practitioner Consultant Job location :- Bangalore, Hyderabad About SC - Global Network:- 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. WHAT'S IN IT FOR YOU Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. Youll work with Accenture's highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You'll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organizations ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Qualifications Who we are looking for Bachelors or advanced degree in Computer Science, Data Science, or a related field. Over 8 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices If you are a visionary Machine Learning Architect with a passion for advancing ML maturity, implementing cutting-edge Gen AI solutions, and driving innovation, we invite you to apply and contribute to our organizations success. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Role & responsibilities : Key Result Areas 1. Implementation of Actionable Analytics Program in close coordination with the functional stakeholders Getting sponsorship from leadership and senior management on specific analytics initiatives and report progress on a regular basis Cross-functional coordination for driving business intervention with various teams incl. IT. Digital, Marketing and respective stakeholders. Drive Establish processes and manage development of infrastructure (e.g. IT, Marketing) to support analytics program Validate statistical models, implementation and actionable and improve efficacy and efficiency of analytics program 2. Revenue enhancement initiatives Increasing conversion through Better customer segmentation, targeting and Response modelling and campaign design New target opportunities including social listening Increasing cross-sell / upsell through Marketing (Upsell/ Cross-sell) of health insurance to Distributors customers to increase conversion rates Wellness & lifestyle partner up-sell/ cross-sell Cross-sell Wellness products to existing health insurance customers Increase Customer Retention Maximize renewal collection and reducing lapse rate 3. Cost and Claims optimization initiatives Cost reduction incl. optimization of campaigns Risk reduction including Claims adjudication and UW and claims/loss fraud investigation Optimization of model on a frequent basis 4. Increasing customer engagement loyalty initiatives Designing strategies to get low engagement clients to engage more. Maintain Planned spends across partners 5. Building data marts and models for Revenue enhancement and claims /cost initiatives Increasing cross-sell / upsell and Increase Customer Retention Risk reduction including Claims adjudication and UW and claims/loss fraud investigation Health risk reduction analytics 6. Resource Management and Develop individual and team competence to achieve overall effectiveness . Ensure elaborate functional knowledge sharing and extensive training to have a well-motivated and effective team who can provide high quality support and innovative solutions.

We are looking for a Data Scientist with a strong background in Machine Learning, Deep Learning, and AI-driven applications. The ideal candidate should be passionate about building models, extracting insights from data, fine-tuning LLMs, and developing AI-powered solutions. You will work closely with cross-functional teams to develop innovative AI applications and help drive data-driven decision-making. Key Responsibilities: Data Analysis & Pattern Recognition ? Read and analyze large datasets to uncover trends and actionable insights. Model Development ? Build, train, and optimize Machine Learning/Deep Learning models. Generative AI & LLM Fine-Tuning ? Work on fine-tuning large language models, Retrieval-Augmented Generation (RAG), and NLP/NLU applications. AI-Powered Applications ? Develop AI-driven applications, including chatbots and automation tools. Computer Vision & OpenCV ? Implement image processing and deep learning models for visual data. MLOps & Deployment ? Develop and deploy ML models using MLOps frameworks for scalability and efficiency. Agentic AI & Autonomous Systems (Preferred) ? Research and implement AI agents for decision-making tasks. Data Visualization & Insights ? Utilize visualization tools to present findings and support strategic decisions. Domain Understanding & Strategy ? Collaborate with stakeholders to understand business needs and contribute AI-driven solutions. Be a team player and help the team to build applications Requirements Programming: Python Machine Learning & Deep Learning: TensorFlow, PyTorch, Scikit-learn NLP & NLU: Large Language Models, Transformers, RAG Applications Computer Vision: OpenCV, Image Processing, Object Detectio MLOps & Model Deployment: Docker, Kubernetes, MLflow Generative AI & LLM Fine-Tuning: OpenAI, Hugging Face, LangChain Data Visualization: Tableau, Power BI, Matplotlib, Seaborn Agentic AI (Preferred but not mandatory)

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education