5495 Data Science Jobs - Page 23

Sumago Infotech is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions.

Code Brains is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions. AngularJS, MongoDB, NodeJs, Java, DB, Android ,Struts2, Hibernate, Spring and Webservices

We are looking for a passionate Python developer to join our team at Billions United. You will be responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks, and collaborating with other teams to define, design, and ship new features. You will also be working on data engineering problems and building data pipelines. Objectives of this Role Develop, test, and maintain high-quality software using Python programming language. Participate in the entire software development lifecyclebuilding, testing, and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. Write clean and reusable code that can be easily maintained and scaled. Your Tasks Create large-scale data processing pipelines to support machine learning development. Participate in code reviews to ensure code quality and identify areas for improvement. Debug code and troubleshoot Python-related issues. Stay updated with emerging trends and technologies in Python development. Required Skills and Qualifications Freshers or 1+ years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering, or a related field. In-depth knowledge of Python stacks, frameworks, and tools such as NumPy, SciPy, Pandas, Dask, spaCy, NLTK, Scikit-learn, and PyTorch. Experience with front-end technologies like HTML, CSS, and JavaScript. Familiarity with SQL and NoSQL databases. Excellent problem-solving, communication, and collaboration skills. Preferred Skills and Qualifications Experience with frameworks such as Django, Flask, or Pyramid. Knowledge of data science and machine learning concepts and tools. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Contributions to open-source Python projects or active involvement in the Python community.

We are seeking a Data Scientist with 3 to 5 years of experience to join our data and analytics team. In this role, you will leverage data to develop and deploy predictive models, uncover actionable insights, and support data-driven decision-making across business units. This position requires a strong foundation in statistics, machine learning, and programming, combined with the ability to communicate findings clearly to both technical and non-technical stakeholders. Key Responsibilities Analyze complex datasets to identify trends, patterns, and insights that drive business outcomes. Design and develop machine learning models for classification, regression, recommendation, clustering, or forecasting. Clean, transform, and enrich data from diverse sources to support modeling and reporting. Work closely with product, engineering, and operations teams to scope problems and translate them into data science solutions. Design and execute A/B testing frameworks for product and marketing optimization. Visualize and present results using dashboards and storytelling techniques that influence decisions. Monitor and improve deployed models and pipelines for performance and stability. Ensure data quality, security, and compliance with governance standards. Required Qualifications Bachelor's or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 35 years of practical experience in a data science or machine learning role. Proficiency in Python (NumPy, pandas, scikit-learn, etc.) or R. Strong command of SQL and working knowledge of relational databases. Solid understanding of statistical methods, hypothesis testing, and model evaluation techniques. Hands-on experience building and tuning supervised and unsupervised models. Experience working with version control systems (e.g., Git) and reproducible workflows. Preferred Qualifications Experience with cloud platforms like AWS (SageMaker), GCP (Vertex AI), or Azure. Familiarity with big data tools like Spark, Hive, Presto, or Snowflake. Exposure to MLOps practices and tools such as MLflow, Airflow, or Docker. Experience with data visualization tools like Tableau, Power BI, Plotly, or matplotlib. Business acumen to frame open-ended problems and translate insights into action.

We are looking for talented Python Developers with 3 - 6 years of hands-on experience in Natural Language Processing (NLP) and Generative AI Models to join our growing team working on innovative projects in enterprise scale AI applications and solutions. Responsibilities: Design, evaluation, and best fit analysis of NLP / ML Models Design, fine-tuning, and deployment of open-source and API-based LLMs to solve real-world use cases Engage with clients for data preparation process, the subtleties of the fine-tuning procedure, and the challenges it presents. Lead efforts to address challenging data science and machine learning problems, spanning predictive modeling to natural language processing, with a significant impact on organizational success. Building data ingestion pipelines, handling various data formats such as JSON and YAML. Technical Qualifications: Strong in data collection, curation, and dataset preparation for ML Models (Classifiers / Categorization). Demonstrable expertise in area of data science or analytics (e.g., machine learning, deep learning, NLP, predictive modeling and forecasting, statistics). Strong experience in machine learning (unsupervised and supervised techniques) and experience in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, Attention, Generative Models etc would be a plus. SQL expertise for data extraction, transformation, and analysis. Experience in building and maintaining scalable APIs using FastAPI / Flask frameworks. Proficiency in Python, with experience in libraries such as PyTorch or TensorFlow. Solid understanding of data structures, embedding techniques, and vector search systems. Experience in SQL / NoSQL databases including PostgreSQL, MySQL and MongoDB. Proficiency in Graph Databases Neo4j. Generic Qualifications: Comfortable working with cross-functional teams product managers, data scientists, and other developers to deliver quality software solutions. Ensure software quality through code reviews, unit testing, and best practices for DevOps and CI/CD pipelines. Ability to manage time wisely across projects and competing priorities, meet agreed upon deadlines, and be accountable for work. Able to write maintainable and functionally tested modules. You should not hesitate in learning and building innovative solutions in newer technology stacks. Others: Candidate should be willing to relocate or commute to North Bangalore (Yelahanka) for work.

Role & responsibilities 1.Develop and execute a strategic roadmap for executing Applied AI engineering projects with a product engineering mindset . 2. Lead and inspire a high-performance core group of developers, architects & engineering managers. 3. Responsible for hiring, training, coaching, team building, assessing performance, providing feedback, mentoring, and helping the team succeed. Our enthusiastic Data Scientists are just getting started -- and as a manager, you guide the way and set up examples by coming up with the best solutions to complex engineering problems. 4. Collaborate with architects, product management, and other engineering teams to create solutions that increase the platform's value. 5. Own Delivery - This includes overseeing the end-to-end delivery of Applied AI projects, ensuring adherence to timelines, budget, and impeccable engineering quality, setting up and managing periodic progress meeting,s and act as a point of escalation for project issues, providing timely resolution and effective communication with stakeholders. 6. Participate with senior management in developing a long-term technology road map. Influence, collaborate and communicate effectively with various leaders. Education and Qualification 1.Proven experience of 10+ years in a leadership role overseeing Applied AI engineering teams, preferably within a professional services environment. 2. Successful track-record of Solution Architecting and High-end AI based software development. 3. Strong technical background with expertise in Generative AI, Google AI APIs, Machine Learning, software development methodologies, languages, and frameworks. 4. Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences. 5. Demonstrated success in delivering complex software projects on time and within budget. 6. Ability to thrive in a fast-paced, dynamic environment and adapt to evolving business needs. 7. Leadership qualities including strategic thinking, decision-making, problem-solving, and team-building. 8. Experience in client-facing roles with a focus on building and maintaining relationships. 9. Our technology stack is insane and the role requires experience and understanding of technologies like: a. Python, Pyspark , TensorFlow b. Databases: MongoDB, Google Cloud SQL, Graph/NoSQL, Bigtable c. Google App Engine, GKE, Vertex A I , Doc AI, Conversational AI

Job Description : We are seeking a highly analytical and skilled Data Scientist to join our team. The ideal candidate will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Responsibilities: Data mining or extracting usable data from valuable data sources Utilize predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Develop company A/B testing frameworks and test model quality. Coordinate with cross functional teams to implement models and monitor outcomes. Conduct data-driven research and create models to understand complex behaviors and trends. Present data insights and recommendations to senior management for strategic decision-making. Develop and maintain prediction systems and machine learning algorithms. Qualifications: Minimum 4+ years of experience in the IT industry. Strong problem-solving skills with an emphasis on product development. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience using statistical computer languages (Python, R, SQL, etc.) to manipulate data and draw insights from large data sets. A drive to learn and master new technologies and techniques. Experience working with and creating data architectures.

About Info Edge InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behavior, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. About BU: Corporate Function – Data Science Designation: AI Scientist Desired Experience: 0-3 Year Required Educational Qualification: PhD/ M.Tech / B.Tech with relevant experience from Tier 1 Campus As AI Scientist you will : Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images. Identify potential new business problems that can be solved through machine learning. Ideate, formulate, create metrics and execute on such problems and get buy in from business. Identify potential data-driven machine learning solutions to improve user experience through personalization and prediction of user preferences. Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information. Identify the appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommendation systems and information retrieval solutions. Design solutions for scalable and real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. Participate in external forums /discussions, publish research papers, keep up-to-date on latest publications and build external/internal networks. Required Skills: Strong fundamental understanding and research experience in machine learning/Deep Learning/NLP/Information Retrieval/Artificial Intelligence areas. Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning. Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. An excellent problem solving skills with a research oriented approach. Ability to capture, manage, create pipelines and process Big Data. Why Join us: This is a unique opportunity to work on innovative and disruptive technologies that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast- paced environment and are ready to enhance their skills by learning something new. Being a part of the InfoEdge team, you will be engaged in innovations, product development, integration with mobile and social media, technology, research and development, quality assurance, sales and marketing. To learn more about Info Edge visit http://www.infoedge.in/

Job Title: Content Strategist Data Science / AI / ML Company: Great Learning Experience: 2-6 Years Location: Bangalore Education: B.E./B.Tech/M.Tech/M.Sc in CS, Data Science, Statistics, or related fields Key Skills: Data Science, Machine Learning, Artificial Intelligence, Generative AI, Python, R, Instructional Design, Technical Writing, Content Strategy, Educational Content Creation Job Description Were looking for a technically strong and creatively driven Content Strategist to design and deliver high-impact learning content in Data Science, Machine Learning, and AI/GenAI . Youll collaborate with SMEs, video teams, and instructional designers to shape the future of online learning for professionals across 170+ countries. This role is ideal for someone from a DS/ML/Analytics background who wants to influence how complex concepts are taught, while staying at the edge of emerging technologies. Responsibilities Curate and develop engaging educational content in DS/ML/AI. Collaborate with SMEs and design teams to build structured learning journeys. Ensure clarity, accuracy, and relevance across video and written formats. Stay current with AI/GenAI trends and apply them to content design. Manage timelines and feedback loops across cross-functional teams. Requirements 4+ years of experience in Data Science / Analytics / ML Strong grasp of Python, R, Statistics, and ML concepts. AI/GenAI knowledge is a plus (or eagerness to learn is a must). Excellent communication skills and the ability to simplify technical content. Experience in EdTech or instructional design is preferred. Why Join Us? Be part of an award-winning EdTech leader revolutionizing upskilling and career transformation through cutting-edge learning. Work with global university partners like MIT, UT Austin, IIT Bombay, and more. About Us: Great Learning is one of the worlds leading EdTech platforms for professional and higher education, with 12M+ learners across 170+ countries. Learn more: https://www.mygreatlearning.com/about-us

Job Title: Content Strategist - Data Science / AI / ML Company: Great Learning Experience: 2-6 Years Location: Bangalore Education: B.E./B.Tech/M.Tech/M.Sc in CS, Data Science, Statistics, or related fields Key Skills: Data Science, Machine Learning, Artificial Intelligence, Generative AI, Python, R, Instructional Design, Technical Writing, Content Strategy, Educational Content Creation Job Description Were looking for a technically strong and creatively driven Content Strategist to design and deliver high-impact learning content in Data Science, Machine Learning, and AI/GenAI . Youll collaborate with SMEs, video teams, and instructional designers to shape the future of online learning for professionals across 170+ countries. This role is ideal for someone from a DS/ML/Analytics background who wants to influence how complex concepts are taught, while staying at the edge of emerging technologies. Responsibilities Curate and develop engaging educational content in DS/ML/AI. Collaborate with SMEs and design teams to build structured learning journeys. Ensure clarity, accuracy, and relevance across video and written formats. Stay current with AI/GenAI trends and apply them to content design. Manage timelines and feedback loops across cross-functional teams. Requirements 2+ years of experience in Data Science / Analytics / ML Strong grasp of Python, R, Statistics, and ML concepts. AI/GenAI knowledge is a plus (or eagerness to learn is a must). Excellent communication skills and the ability to simplify technical content. Experience in EdTech or instructional design is preferred. Why Join Us? Be part of an award-winning EdTech leader revolutionizing upskilling and career transformation through cutting-edge learning. Work with global university partners like MIT, UT Austin, IIT Bombay, and more. About Us: Great Learning is one of the worlds leading EdTech platforms for professional and higher education, with 12M+ learners across 170+ countries. Learn more: https://www.mygreatlearning.com/about-us

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL, Python and ML, DA & Related technologies

Job Title: Freshers - Data Science Company: Digient Technologies Pvt. Ltd. Location: Chennai (Onsite) Experience: 0 1 Year Functional Area: Data Science & Analytics About Us Digient Technologies is a dynamic and innovative B2B online iGaming company, dedicated to providing cutting-edge solutions in the rapidly evolving iGaming industry. We pride ourselves on delivering high-quality products and services that enable our clients to stay ahead in the competitive landscape of online iGaming. Overview Digient Technologies is looking for fresh graduates who are passionate about data to join our team as Data Science Freshers . Selected candidates will undergo a structured 3-month comprehensive program covering Python, SQL, Machine Learning, and Data Analytics. Upon successful completion, they will be absorbed as full-time employees at Digient Technologies. Key Responsibilities Participate in our structured comprehensive program covering Python, Machine Learning, Data Analytics, and related tools Assist in building and maintaining data models and analytical solutions Collect, clean, and analyze data to derive meaningful insights Support in building dashboards, reports, and predictive models Collaborate with cross-functional teams to solve business problems using data Document workflows, findings, and recommendations Eligibility Criteria Bachelors degree in Computer Science, Data Science, Mathematics, Statistics, or related field Basic knowledge of Python, SQL, and statistics Strong analytical thinking and problem-solving skills Passion for working with data and numbers Good communication and interpersonal skills Willingness to learn and take ownership of tasks Good to Have Familiarity with libraries like Pandas, NumPy, Scikit-learn, or similar Exposure to data visualization tools like Power BI, Tableau, or Matplotlib Basic understanding of Machine Learning concepts

The Senior Statistical Analyst position is ideal for candidates with working knowledge in data science tools & practice as well as qualitative research methods. This position will be mainly involved in the analytical aspect of the research and development efforts associated with the various Comscore panels, a valuable asset unique in the industry. It will entail a deep understanding of methodology and production of Comscore’s panel processes, creating KPIs for mission critical production jobs, diagnosing and resolving data issues, proposing and implementing data solutions for panel assets, and liaising with other stakeholders with different backgrounds. Being detail-oriented is a must, and big plus will be given to candidates who have experience implementing statistical models in a production environment while being adept at communicating data solutions in both plain English and technical language. What You’ll Do: Creating ad-hoc and reusable data solutions that drive effective insights and productivity Troubleshooting data issues and building automatic tools that enable minimal manual intervention Proposing and implementing improvement plans for panel assets Identifying shortcomings and inefficiency in panel processes and implementing optimization plans independently Helping to further best practice in the Panel team in various areas such as documentation, analysis reproducibility, data assets management, etc. Collaborating with teams in Software Engineering, Operations, and Product Management to design processes that help deliver quality data in a timely manner What You’ll Need: Bachelor’s Degree and above in Statistics, Data Science or another math/engineering field Required: professional (i.e. working) experience with a) 5+ years with data science projects with large datasets; b) 2+ years with SQL; c) 2+ years with Python; d) 1+ years with a workflow management system such as Airflow; e) 2+ years with Microsoft Excel Not required but a plus: a) professional experience with building dashboards in PowerBI/Tableau/Superset; b) experience implementing statistical models in a production environment; c) experience with AWS; c) experience implementing data solutions using LLM in the data science space Ability to pay attention to details on every aspect of the work, to diagnose and troubleshoot potential issues logically, to work independently as a process owner, to think creatively about solutions with the big picture in mind, and to communicate effectively Shift Timing: The regular hours for this position will cover a combination of business hours in the US and India – typically 2pm11pm IST. Occasionally, later hours may be required for meetings with teams in other parts of the world. Additionally, for the first 4-6 weeks of onboarding and training, US Eastern time hours (IST -9:30) may be required. Benefits: Medical: Comscore offers a collective Private Medical Insurance scheme which is 100% covered by Comscore. The benefit is applicable to employees, an employee’s spouse, up to two children and parents. Pension: Provident Fund: Comscore bears both the employee and employer contribution. Time Off Annual Leave: Comscore offers market competitive annual leave of 26 Annual Leave Days (8 Casual and 18 Privilege), following local guidelines and practices. National Holidays and Festival Holidays: 10 Days. Sick Leave: 10 Days. Additional Leave: Paternity, Bereavement, Marriage, Maternity, Additional Pregnancy / Birth Related Leave Christmas / New Year Paid Leave, Comscore offers a week of Company paid leave over the Christmas / New Year period. Summer Hours: Comscore has a culture that rewards employees for their hard work. When you work hard, you need time to recharge and refresh. Early releases on Fridays are subject to manager approval. Internal Career Development Opportunities (minimum of 6 months tenure in the current position and in discussion with supervisors) Access to hundreds of professional e-learning courses, specifically created for Comscore Be creative: You don’t have to follow the norm to be successful – we encourage you to think outside the box. Our culture is built on encouraging innovative ideas, communication and joint success. Informal Work Atmosphere: We believe in getting the job done in a comfortable, casual environment! The ability to become a truly global engineer, with exposure to markets across the world. With more than 30 offices around the world, many Comscore teams work together across locations. About Comscore: At Comscore, we’re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we’re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. Suppose you’re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media. In that case, we’d love to hear from you. This will be a foundational role on our Pune-based GL team during a time of exponential growth for Comscore in Pune. The candidate for this role will work with Comscore teams around the world on work vital to the future of Comscore and our clients. Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry’s emerging, thirdparty source for reliable and comprehensive crossplatform measurement. To learn more about Comscore, please visit www.comscore.com About Comscore: At Comscore, we’re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we’re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you’re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we’d love to hear from you. Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry’s emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com. C omscore is committed to creating an inclusive culture, encouraging diversity. *LI-JL1

Role & responsibilities Advanced knowledge in Python Knowledge of AI frameworks Advanced Knowledge at least in one LLM Data Science Preferred candidate profile

JobSummary We are seeking a visionary and execution oriented Senior Manager to leadcustomer centric projects focused on AI powered and Autonomous NetworkSolutions, spanning wireless (4G/5G),wireline (fiber, broadband), and FixedWireless Access (FWA) domains. This role connects business strategy, technicalinnovation, and operational delivery, ensuring customer success throughintelligent network transformation. Key Responsibilities AI and Autonomous Network Solutions Lead e2e engagement for AI enabled, closed loop autonomous network solutionsacross wireless, wireline, and FWA technologies. Translate customer requirements into delivery roadmaps featuring AI/ML models,LLM prompting, network self healing, and predictive analytics. Oversee deployment of automation use cases like alarm correlation, anomalydetection, traffic prediction, and zero touch optimization. Sales Enablement and Solution Engineering Partner with sales, product, and pre sales engineering teams to designscalable, AI driven solutions for both wireless (4G/5G NSA/SA) and wirelinenetworks (FTTx, xDSL, GPON, DOCSIS). Create and present business cases and proof of concepts (PoCs) tailored tohybrid network environments, including FWA deployment strategies. Develop proposals that address customer pain points using AI driven KPIinsights, RF/wireline performance analytics, and capacity modeling. Project Leadership and Delivery Execution Manage cross functional delivery of multi technology engagements, from FWArollout automation to AI driven fiber network analytics. Track timelines, budgets, risk mitigation plans, and outcomes using Agile orhybrid methodologies, ensuring high impact delivery aligned with customergoals. Drive adoption of autonomous workflows and AI based decisioning acrossplanning, optimization, provisioning, and fault management. Customer Relationship and Stakeholder Management Act as the primary interface with customers for sales aligned project delivery,status updates, and solution expansion discussions. Conduct technical deep dives, workshops, and strategy sessions with telecomoperators and enterprise clients. Foster long term client relationships by consistently demonstrating valuethrough network intelligence, automation, and performance improvement. Innovation and Ecosystem Leadership Champion the use of generative AI, prompting, and large language models (LLMs)for automation and proactive network management. Collaborate with internal RandD, product management, and operations teams toevolve the service portfolio across wireless, wireline, and converged networkdomains. Influence the design and adoption of self optimizing networks (SON), FWAperformance platforms, and fiber diagnostics using AI. Qualifications Bachelor/Master degree in Telecommunications, Computer Science, Data Science,or related fields. 15 plus years of experience in telecom network services with 5 plus years inAI/automation leadership roles. Strong understanding of 4G/5G, FWA, and wireline network technologies (e.g.fiber broadband, GPON, DOCSIS, xDSL). Expertise in AI/ML (supervised/unsupervised learning), prompt engineering,automation scripting (Python, SQL), and analytics tools (Tableau, Power BI). PMP, Agile, or relevant delivery certifications preferred. Key Skills AI/ML in Network Optimization Prompt Engineering and LLM Integration Autonomous Wireless/Wireline Network Architectures Fixed Wireless Access (FWA) Deployment and Analytics RF and Fiber Network Planning and Performance Customer Engagement and Technical Pre sales Automation Frameworks and Closed Loop Operations Program Management and Cross Functional Leadership

Gather data from multiple sources and prepare it for analysis. Analyze large volumes of structured and unstructured data to identify trends and patterns. Develop machine learning models and predictive algorithms to solve business problems. Use statistical techniques to validate findings and ensure accuracy. Automate processes using AI tools and programming. Create clear, engaging visualizations and reports to communicate results. Work closely with different teams to apply data-driven insights. Stay updated with the latest tools, technologies, and methods in data science.

The 2-month online internship program is offered by leading scientists of Gilbert Research Center . Gilbert Research Center is one of the most reputed and notable research centres in India. What you'll learn from this Online-Internship Basics of Mathematics - Linear Algebra, Probability, Differential Equations Fundamentals of Python Programming Language Fundamentals of Statistics, Statistical Power Analysis & Optimization. Machine Learning Algorithms - Linear, Multiple, Non-Linear Regression, Correlation, Gradient Descent & PCA Fundamental of Neural Networks, Convolution & Deep Learning ( CNN - Convolutional Neural Network). Image Processing, Medical Image Processing - X-ray modality. Industry-relevant projects discussion and implementation, fundamental programming assignments, and attending mentorship sessions of our Scientists. You'll get basic and complete Industry-related knowledge for your recruitment process at Gilbert Research Center , career shift , and other job opportunities . You'll get core knowledge of machine learning & data science from a leading scientist. This program definitely boosts your professional career and promotion. Every candidate will get a Verified Certificate & Letter of Recommendation from a Scientist at Gilbert Research Center. Stipends will be provided to all students based on their assignment performance. Our internship provide to grab a job at Gilbert Research Center, a software industry, fin-tech company based on data science and machine learning. Every candidate will get a Verified Certificate & Letter of Recommendation from a Scientist at Gilbert Research Center. Stipends will be provided to all students based on their performance. Our internship provides a bridge to grab a job opportunity in a software or fin-tech company based on data science and machine learning. Job Role Assigned with Mentorship with Scientist: One of the most reputed research centres in India, Gilbert Research Center invites high-level top leading Internship positions in organizations. It's an Online-Internship Programme. The working location is completely Online . You don't need to switch your locations. It's an Internship Programme working 2 -Months Programme. Our high-level Internship Programme will be mentored and guided by the leading Scientists of Gilbert Research Center. Your role would be to lead a high-level Internship Programme by allocating Industry relevant projects, fundamental programming assignments, and attending mentorship classes of our Scientists. Youll have experience collaborating with our leading Scientists to make your career as Industry-Academic. You'll get top experience in Industry Readiness & Trending topics . Selection is based on a pure merit basis. The interview will be conducted for Shortlisting applicants.

As an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities Collaborate with clients to understand their business processes, goals, and requirements. Design and implement AI/ML solutions using state-of-the-art techniques and methodologies. Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions. Work with cross-functional teams to map AI/ML solutions to client business processes. Perform data analysis, data preprocessing, and feature engineering as needed. Conduct hypothesis testing, feature extraction, feature selection, cross-validation. Develop and deploy machine learning models in a production environment. Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation. Communicate findings and insights effectively to both technical and non-technical stakeholders. Ensure project deliverables meet high-quality standards and are completed on time and within budget. Qualifications Bachelors or masters degree in computer science, Machine Learning, Data Science or a related field. At least 3 to 5 years of hands-on experience in designing and delivering AI/ML solutions. Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification. Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus. Proficiency in programming languages such as Python or R. Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with MLOps is a plus Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and presentation skills.

About Us: Founded in 2008, Red & White is Gujarat's leading NSDC & ISO-certified institute, focused on industry-relevant education and global employability. Role Overview: Hiring faculty to teach AI/ML & Data Science, guide projects, mentor students, and stay updated with tech trends. Key Responsibilities: Conduct lectures on AI, Machine Learning, and Data Science. Create and update course content and projects. Guide students on practical work and research. Mentor students in academics and career planning. Stay updated with latest trends in AI/ML and Data Science. Evaluate student performance and provide feedback. Contribute to curriculum development. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Masters/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in

Hello All, Urgent job openings for Data Science Lead & Architect role @ Remote. Job Description given below please go through to understand the requirement. if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (vinay.kondapalli@smarkinfosolutions.com). Mention Subject Line :- Applying for Data Lead Or Architect @ Remote Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Looking for Serving candidates only (15-30 days) Preffered Location -: Hyd or Bangalore or Remote - Job Description : We are looking for a Data Scientist Lead/Architects for one of service based Organization. Mandatory Skills- Generative AI, Python , LLM, Agentic Ai , RAG, Langchain Role : As a Gen AI Lead /Architect your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems: As a Gen AI Architect, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems Req Skills : GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. Documentation: Excellent documentation and communication skills.. Responsibilities : Lead the design of architecture for generative AI solutions within the Azure ecosystem. Collaborate with project managers, data scientists, software engineers, and other stakeholders to understand business goals and determine AI requirements. Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions.. Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization. Thanks & Regards, Vinay Kondapalli, vinay.kondapalli@smarkinfosolutions.com Sr.IT Recruiter

Data Scientist is to run various data analysis and management to assist in design development and testing of algorithmic trading strategies, development of state-of-art transaction cost analysis modules(TCA)for global equities options futures and f/x

We at Nagesh Karajgi Orchid College of Engineering and Technology, Solapur, Maharashtra is seeking a dynamic and highly qualified individual to join our esteemed organization as an Assistant Professor/ Associate Professor/ Professor in Department of Computer Science & Engg. / AI&DS . We are committed to fostering a vibrant academic community that encourages innovation, collaboration, and excellence in teaching and research. We welcome diverse applicants to contribute to our dynamic academic community. Responsibilities: Deliver effective lectures and hands-on sessions as per the curriculum. Conduct labs and guide projects. Assess student progress and provide feedback. Build industry connections for real-world exposure. Stay updated on technical trends through professional development. Offer students support and guidance. Contribute to research and publications. Qualifications and Salary: Assistant Professor ME/M.Tech in Computer Science and Engineering and its Related Branches from AICTE-recognized Institutes and Universities. Salary ranges from 7 LPA to 10 LPA. Note: Salary is no bar for right candidate.

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews, and processing of all AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains included in AI development. We are seeking candidates with a passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities: - Work in or lead an agile team to design and build architectures on AI solutions. - Engage proactively with customers to better understand their needs and obtain feedback. - Acquire and develop technology agnostic reference architectures across AI Security Architecture. - Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps. - Develop vendor-agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI, etc. - Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades. - Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. - Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. - Develop Technology design and program planning to bring in value-added solution delivery and ensure strategic alignment and long-term business benefits. - Engage in grooming security analysts and solution architects to bring in a holistic perspective in every solution delivery. - Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. - Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. - Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. - Develop scalable algorithms capable of learning, analyzing, and predicting future events. - Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. - Devise, develop, and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. - Ability to perform in-depth data analysis including but not limited to: Machine Learning, Classification, Optimization, Time Series analysis, Pattern Recognition. Candidate must have a thorough understanding and experience in the following in terms of AI and AI Security: Threat models, Security analysis, Design and integration into AI and ML infra, Some familiarity with the offensive perspective on AI attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills: - 5+ years of experience as an Architect with skills in AI and AI Systems. - 3+ years working with languages Python and SQL. - 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.). - 5 or more years of experience presenting and delivering results to business partners and leadership. - 2 or more years of experience in Cyber Security domain knowledge. - Strong project management, negotiation, and interpersonal skills. - Advanced written and verbal communication skills and presentation skills. - Bachelor's and/or postgraduate degree in computer science, information systems, engineering, or a related major. Preferred: - Certifications in data science, deep learning, and ML. - Exposure to Generative AI and NLP. - Experience in multi-cloud. - 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.). - 2 or more years with modern data engineering with APIs. - 2 or more years of experience in Cyber Security domain knowledge. - M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. - 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As an AI/ML professional with 4-8 years of experience, your role will involve developing and implementing AI models and pipelines utilizing LLMs to meet business requirements. You will be responsible for designing and deploying machine learning solutions on Azure, ensuring high performance, scalability, and reliability. Using Python for data preprocessing, model development, and experimentation will be a key part of your responsibilities. Moreover, you will play a crucial role in building and integrating REST APIs using Flask to facilitate seamless model access for various applications. Your expertise in containerizing models and applications with Docker will be vital in streamlining deployment processes and enhancing portability. Collaboration with cross-functional teams to comprehend project objectives and develop customized AI solutions will also be a significant aspect of your job. To excel in this role, you should stay abreast of the latest advancements in LLMs and cloud technologies. Optimizing models for accuracy, performance, and inference speed based on real-time data will be essential to drive continuous improvement and innovation. Qualifications for this position include 4-8 years of experience in data science, specifically working with LLMs models in domains such as CPG, Retail, and Supply Chain. Hands-on experience in deploying AI/ML models on Azure and utilizing cloud-based tools is essential. Proficiency in Python for data manipulation, model building, and evaluation is required. Additionally, experience with Dockerization for deploying and managing AI applications, knowledge of Flask for building lightweight APIs, and strong problem-solving skills to translate business challenges into AI solutions are necessary. Good communication skills are vital for effective collaboration with stakeholders and presenting technical results convincingly. A working knowledge of the finance domain is a must for this role.,