5453 Data Science Jobs - Page 12

At 5X, we help companies organize their data and make it actionable Founded by engineers who built data platforms at hypergrowth companies, we saw first-hand the complexity and fragmentation plaguing modern data stacks Thats why we created 5X an end-to-end data and AI platform that unifies data tooling, streamlines operations, and empowers teams to build with data without drowning in integrations and vendor sprawl, Responsibilities Understand and analyse client's business requirements to design and implement effective data solutions, Create and optimize data models to support client reporting and analytics needs, Proactively communicate with clients to provide project updates and address any issues or concerns, Comfortable to travel to meet customers in the US and go deeper on projects Provide mentorship and guidance to junior team members, Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes, Qualifications We are looking for people in Medellin, Colombia with Valid US Visa and 5+ years of experience in data science/analytics, with a proven track record of successfully delivering end-to-end data solutions, Skilled in statistical analysis, exploratory data analysis (EDA), and feature engineering to prepare data for model development, Experience in designing, developing, and deploying machine learning models into production environments, Proficient in supervised and unsupervised learning techniques, such as regression analysis, treebased models, and neural networks, Experience in working with ML modules such as scikit-learn, tensorflow Proficiency in SQL and Python for data manipulation and analysis, Experience in working with python modules such as pandas, numpy, matplotlib Strong understanding of business processes with a proven ability to collaborate with crossfunctional teams, identify pain points, and implement data-driven solutions, Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP and AWS is a plus, Experience with modern data stack tools (such as fivetran,dbt) Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision About 5X Were a global, remote-first company building the platform we wish we had and today, it powers the data teams building whats next At 5X, we combine deep technical expertise with a culture of ownership, creativity, and fun Whether you're designing data pipelines or hosting team trivia, we believe in working hard, delivering exponential value, and enjoying the journey Why work with us We prioritize Outsized Impact: Everything we do is centered around driving exponential value to our customers Our customers find it impossible to think of a world outside of 5X, We are committed to Holistic Wellness: The 4 empires which determine our overall wellbeing are the mental, emotional, physical and spiritual empires At 5X prioritize all 4, We wholeheartedly embrace remote work: If we cant build it from a hammock in Bali, were doing something wrong 5X fully embraces remote work We trust you will find the right balance, Transparency is fundamental to us: We put everything on the table for everyone to see This means that you have our permission to ask the tough questions and we will answer We don't like playing political games, Togetherness is at the core of our culture: We work together to maximize our potential We are there for each other and treat others as we expect to be treated This is the 5X Family and we are better together! Offsite: 1 team offsite a year to incredible destinations Check out our recent offsites here: Thailand, Sri Lanka and Bali Know About The Company Website: https://5X co/ LinkedIn: https:// linkedin /company/datawith5X/mycompany/ Glassdoor: https:// glassdoor co in/Reviews/5X-Reviews-E6110869 htm 5X in 2 minutes: https:// youtube /watchv=45Ppi00Lw70 Show

What is the AI/ML Senior Engineer in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research and Proof-of-Concept Work: The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Senior Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in Computer Science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience: 2-8 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential!

What is the Lead Software Engineer in the FTT AI & Digital Transformation group responsible for? The Lead Software Engineer in the FTT AI & Digital Transformation group is responsible for designing, developing, and implementing cutting-edge generative AI tools-based products. These products are tailored for internal use, primarily benefiting sales and distribution teams as well as Operations teams. The engineer will collaborate closely with cross-functional teams to understand user needs, translate these requirements into technical specifications, and ensure that the solutions developed are scalable, efficient, and user-friendly. Moreover, the engineer will be at the forefront of integrating advanced AI methodologies into practical applications, driving innovation and enhancing operational workflows. What are the ongoing responsibilities of the Lead Software Engineer? Development and Implementation: Design, code, test, and deploy AI-based tools and applications using contemporary technologies. Ensure robust, scalable, and maintainable code. Collaboration with Stakeholders: Work closely with sales, distribution, and operations teams to gather requirements, understand challenges, and provide tailored solutions. Act as a bridge between technical and non-technical teams. AI Integration: Integrate generative AI algorithms and models into software products to enhance functionality and user experience. Stay updated with the latest advancements in AI and machine learning. System Maintenance: Maintain and improve existing software systems by identifying and fixing bugs, optimizing performance, and implementing new features based on user feedback. Documentation: Create and maintain comprehensive documentation for all development activities, ensuring that future modifications and maintenance can be conducted efficiently. Quality Assurance: Conduct regular testing and code reviews to ensure high standards of quality and reliability in all software products. Training and Support: Provide training and technical support to end-users, ensuring they can effectively utilize the developed tools. Gather feedback to continuously improve the products. Innovation and Research: Conduct research and feasibility analysis for new technologies and approaches to keep the company's AI tools at the cutting edge. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Software Engineering, or a related field. A masters degree is preferred. Courses or certifications in AI, machine learning, or data science are highly desirable. Work Experience: 8-10 years of experience in software development, with a focus on building AI-based applications. Proficiency in full stack development, or specialization in frontend technologies (React) or backend frameworks (Python, Django). Experience working with cross-functional teams and integrating AI solutions into business processes.

Job Purpose and Impact The R&D Senior Data Scientist will work collaboratively in multidisciplinary teams to develop complex proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create complex predictive and optimization models that help deliver significant value to the company's businesses and functions. Key Accountabilities Continuously seek out best practices and develop skills. Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets. Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope. Take ownership for the entire data science workflow that includes a well defined, complex project scope, exploratory data analysis, model development, deployment and monitoring. Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff. Other duties as assigned Qualifications Minimum Qualifications Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience, Confirmed ability to present to non technical audiences Strong python programming skills Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning Preferred Qualifications Master's degree or PhD in data science, computer science, math, engineering or related field Strong data visualization skills Strong SQL skills Experience working with continuous integration and delivery (CI/CD) pipelines Experience working with Hadoop and other distributed computing frameworks Experience working with AWS Experience in software development environment and code management or versioning Experience in agriculture

Advanced Process Control (APC) Python, R data visualization tools (e.g., PI Vision, Power BI, Tableau, Grafana is a plus. machine learning (ML) models OSIsoft PI System.

Job Title: Python Developer Machine Learning & AI (2-3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2-3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. What You Will Do: As a Senior Data Scientist, you will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our team's use cases include but are not limited to threat detection, threat hunting, malware detection and anomaly detection, and MLOps. You will work with other Senior Data Scientists in the team to execute data science projects. You will identify issues with models running in production and resolve them. This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines. These models will be integrated into popular products of the company to show maximum impact. About You: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both Passion for leveraging ML/AI to solve real-world business problems 4-7 years of industry experience in one or more machine/deep learning frameworks 4-7 years of industry experience with Python/Pyspark and SQL Experience solving multiple business problems using Machine Learning Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as MLFlow) Should be able to drive end-to-end machine learning project with limited guidance Solid computer science foundation Good written and verbal communication Ph.D in Cyber Security/Machine Learning or related field will be an added advantage 4-7 years of industry experience in the field of Data Science/Machine learning Prior experience in solving cyber security problems using machine learning Familiarity with Security Domain will be a plus Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement

You are invited to join the dynamic team at HCL Software, a Product Development Division of HCL Tech, where we deliver cutting-edge software solutions catering to the transformative needs of clients worldwide. Our portfolio includes award-winning products in AI, Automation, Data & Analytics, Security, and Cloud domains. One of our flagship products is the HCL Unica+ Marketing Platform, which empowers our clients to execute precise and high-performance marketing campaigns across diverse channels such as social media, AdTech platforms, mobile applications, and websites. The Unica+ Marketing Platform stands out as a Data and AI first platform, enabling our customers to create hyper-personalized offers and messages for customer acquisition, product awareness, and retention. If you have a passion for leveraging Data Science and Machine Learning technologies to drive AI-driven Marketing Campaigns, we are looking for a skilled Sr. & Lead Python Developer with over 6 years of experience in this field to join our team. Qualifications & Skills: - A minimum of 6-12 years of Python Development Experience, with at least 4 years focused on data science and machine learning. - Proficiency with Customer Data Platforms (CDP) such as Treasure Data, Epsilon, Tealium, Adobe, and Salesforce is considered advantageous. - Experience with AWS SageMaker is a plus. - Familiarity with Lang Chain, RAG for Generative AI, Integration tools, and frameworks like Postman, Swagger, and API Gateways. - Strong knowledge of REST, JSON, XML, and SOAP. - Ability to collaborate effectively within an agile team setup. - Excellent communication and interpersonal skills. - A 4-year degree in Computer Science or IT is required. Responsibilities: - Proficient in Python programming, utilizing libraries like Pandas, NumPy, and Matplotlib/Seaborn for data manipulation, numerical operations, and data visualization. - Strong understanding of statistical concepts and modeling techniques, including hypothesis testing, regression analysis, and time series analysis. - Expertise in data cleaning, preprocessing, and feature engineering to handle real-world data effectively. - Proficient in SQL for database management and querying relational databases. - Skilled in exploratory data analysis to identify patterns and relationships within datasets. - Hands-on experience with various machine learning algorithms and deep learning frameworks like TensorFlow or PyTorch. - Ability to evaluate models, optimize performance, and deploy machine learning solutions in production environments. This role may involve approximately 30% travel, and the preferred location is India, with Pune being the preferred choice. If you are ready to contribute to innovative projects and be rewarded with a competitive base salary and bonus structure, we look forward to meeting you for a face-to-face interview on 2nd August in Hinjewadi, Pune.,

As a D365 Finance & Operations Functional/Technical Consultant at Databuzz, you will be responsible for leveraging your expertise in MS Dynamics D365 F&O to enhance business operations and drive efficiency. With 7-9 years of experience in the field, you will play a key role in supporting various modules such as Production (Manufacturing), Trade & Logistics, and Project Management. Your proficiency in D365 F&O will be crucial as you contribute to the success of minimum 2-3 full lifecycle implementations. Your responsibilities will include providing functional support for D365 F&O application maintenance and operations, as well as utilizing your knowledge in areas such as Purchase, Sales, Inventory, Advance Warehouse, Master Planning, and Production. Experience in these domains will be highly advantageous in delivering impactful solutions and driving continuous improvement. Databuzz is a leading provider of data analytics services, specializing in Data Science, Big Data, Data Engineering, AI & ML, Cloud Infrastructure, and DevOps. As an MNC with operations in the UK and India, we adhere to the highest standards of data security and compliance, being an ISO 27001 & GDPR compliant company. If you are passionate about leveraging your skills in D365 F&O to make a meaningful impact, we encourage you to share your profile with us. Kindly include your Current CTC, Expected CTC, Notice Period/Last Working Day, and Date of Birth in your email to joy.praneeth@databuzzltd.com. Candidates currently serving notice period will be given preference. Join us at Databuzz and be part of a dynamic team that is dedicated to driving innovation and delivering excellence in the field of data analytics. We look forward to welcoming talented professionals like you who can contribute to our success. Warm regards, Joypraneeth Talent Acquisition Lead Databuzz Ltd,

As an Associate Manager in the Supply Chain Data Science team, you will be responsible for leveraging your deep expertise in data science and supply chain analytics to engage with global Supply Chain Leaders. Your role will involve defining analytical solutions that optimize processes, provide predictive insights, and facilitate strategic decision-making within the supply chain ecosystem. To excel in this role, you should possess a Master's degree with at least 6 years of experience in Supply Chain Analytics/Data Science, or a Graduate degree with 7+ years of relevant experience. You will be based in Bangalore, India, with flexibility to work from offices in Chennai, Pune, NCR, or Kolkata based on your preference. Key responsibilities include leading client engagements, mentoring teams, and designing advanced analytics solutions for various supply chain functions such as demand forecasting, inventory optimization, and procurement analytics. You will also be involved in developing sustainable analytical tools, overseeing technical solution architecture, and driving adoption of modern data architectures. The ideal candidate will have a deep understanding of supply chain functions, strong programming skills in Python/R, proficiency in SQL for data querying, and experience with machine learning algorithms and visualization tools such as Tableau. Additionally, leadership, consulting, and technical competencies are essential for success in this role. At Tredence, you will have the opportunity to work in a highly impactful role, take ownership of projects, and grow both thought leadership and operational leadership capabilities. You will collaborate with industry-leading talent, receive substantial performance-based compensation, and access cutting-edge analytics tools and methodologies. If you are passionate about leveraging data to drive business value and possess a growth mindset along with strong analytical, technical, and leadership skills, we welcome you to join us at Tredence on our innovative journey.,

About Northern Trust Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Job Summary Associate Consultant/Consultant, a key member of the Model Development Team, plays a crucial role in the Risk Analytics and Data Service Team. The role involves contributing individually to the development and maintenance of AML (Anti-Money Laundering) models. The ideal candidate will take ownership of the AML transaction monitoring framework and leverage data-driven approaches to enhance model performance. Job title: Associate Consultant/Consultant Location: Bangalore/Pune Experience: 4-8 years of relevant experience Major Duties - Manage, monitor, and optimize Actimize SAM models, including tuning thresholds, scenarios, and segmentation logic. - Utilize quantitative analysis, statistical modeling, and machine learning techniques to detect suspicious activity and minimize false positives. - Collaborate with model validation and governance teams to ensure compliance with regulatory requirements. - Work closely with IT and data teams to maintain the integrity and availability of data pipelines supporting Actimize SAM and related AML systems. - Assist in internal and external audits, regulatory reviews, and model validation documentation. - Engage with various committees and senior management. Qualification - Master's in Statistics/Economics/Mathematics or an advanced degree in a quantitative area. - Alternatively, B.Tech/M.Tech from a tier 1 college with an MBA in a related field. Skills Required - Proficiency in Data Science and machine learning models. - 3+ years of experience in banking and AML/Financial Crime Compliance, with direct exposure to Actimize SAM. - Strong grasp of risk concepts and quantitative modeling techniques, with experience in model validation considered a plus. - Proficiency in R, Python, SAS. - Strong organizational and interpersonal skills. - Excellent verbal and written communication skills in English. - Experience working in a multicultural and global environment. Working With Us As a Northern Trust partner, you will be part of a flexible and collaborative work culture within an organization that values financial strength and stability. Opportunities for internal mobility are encouraged, senior leaders are approachable, and you can take pride in contributing to a company committed to supporting the communities it serves. Join us in a workplace with a greater purpose and apply today to explore how your interests and experience align with one of the world's most admired and sustainable companies. Reasonable Accommodation Northern Trust is dedicated to collaborating with and providing reasonable accommodations to individuals with disabilities. If you require an accommodation during any stage of the employment process, please reach out to our HR Service Center at MyHRHelp@ntrs.com. Apply today and discuss your flexible working preferences with us as we strive to achieve greater together.,

Screen Andragogy Platforms is a screen industries technology management company that empowers professionals, organizations, and educational institutions with integrated tools, insights, and services to streamline storytelling, analytics, and product development. By utilizing AI-driven platforms and expert-led support, the company drives value across content creation, market research, and strategic growth, ensuring that every story is told professionally, efficiently, and universally. Screen Andragogy Platforms is currently seeking a consultant with expertise in media finance, AI-powered modeling, and investment strategy to support clients in the entertainment sector. The consultant will be responsible for combining advanced financial analysis with AI-enhanced workflows to contribute to custom research, automated financial tools, and strategic financial documentation for clients. This position is structured for long-term cultural and strategic alignment, with full-time hiring not being offered initially. Candidates are required to complete a mandatory one-year internship or consulting residency, during which they will collaborate closely with leadership and clients to understand the company's mission, operating model, and value delivery. Selected candidates must be willing to travel with the company for at least 12 years to achieve cultural alignment, understand cross-market financing practices, and participate in live client engagements and real-time project iterations. Only after successful completion of this phase will candidates be evaluated for full-time positions based on value creation, strategic alignment, and contribution to the Screen Andragogy Platforms ecosystem. Key Responsibilities - AI-Driven Investment Analysis: Develop predictive ROI models for film, series, and digital content using AI-powered tools. - Capital Structuring & Deal Design: Structure slate financing, co-productions, and pre-sales using automated risk analysis, model tax incentives, and support strategic financial planning for media projects. - AI Agent Training & Customization: Design and train custom financial agents, build prompt workflows for automated financial reporting, and forecasting. - Research Services: Lead research projects for clients, deliver insights on funding strategy, profitability, and global market positioning. - Document Automation Support: Assist in developing AI-generated business plans, financial summaries, and pitch documents, ensure consistency and accuracy in financial models. - Industry Trend Monitoring: Stay informed on developments in AI finance, content monetization, and entertainment investment models, evaluate new financial technologies such as blockchain, NFTs, and decentralized funding in media. Qualifications - Background & Experience: Strong foundation in finance, economics, or data science, prior experience in media finance, investment analysis, or financial technology. - Technical Proficiency: Comfortable with AI/ML concepts, financial modeling using Excel, Python, or R, understanding of APIs, automated dashboards, and data visualization. - Core Competencies: Analytical thinking, clear communication, interest in the evolving intersection of media, AI, and capital markets. The recruitment process for this role is rigorous and structured, consisting of application and screening, technical assessment, interviews, and cultural fit evaluation to assess each candidate's technical capability, strategic thinking, and readiness for long-term contribution in the intersection of AI and media finance.,

The ideal candidate should possess a Bachelor's Degree in Computer Science or B.Stat and a Master's Degree in Computer Science, AI/ML, Data Science, or Statistics. A PhD in one of these fields is highly desirable. Candidates with a Master's degree should have a minimum of 6 years of relevant industry experience, while those with a PhD should have at least 2 years of industry experience. The candidate must have excellent knowledge of Data Structures and Algorithms, with a focus on efficiently solving complex problems through optimized approaches. Strong programming skills in Python are required, with hands-on experience in developing AI/ML algorithms and working on data analysis projects. A working knowledge of C++ is essential for integrating algorithms into product pipelines. Extensive experience in designing, developing, and deploying AI/ML solutions is necessary. The candidate should also have experience in applying data science techniques such as classification and clustering, with a strong understanding of statistical methods. Proficiency in working with Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) is required for solving advanced problems. Understanding and experience in working with Large Language Models (LLM) for natural language processing tasks are also important. The primary responsibility of the candidate will be to design and develop AI/ML algorithms to address complex technical challenges, specifically in the context of 3GPP standards. They will leverage AI to provide innovative solutions for telecom technologies. The candidate will also be responsible for documenting the design and functionality of developed data science and AI/ML algorithms and presenting the algorithms and their results to technical and non-technical stakeholders. Collaboration with cross-functional teams is essential to ensure the seamless integration, productization, and deployment of AI/ML models into the product pipeline. Efficient management of all stages of the AI/ML model lifecycle, from development to deployment, is also a key responsibility.,

In this role, you will have the opportunity to develop underwriting strategies for merchant lending based on existing data within the organization's ecosystem and explore alternate data sources. Your responsibilities will include: - Demonstrating functional expertise with hands-on experience in secured lending. - Assessing balance sheets and commercial underwriting. - Early assessment of segment-level loss rates and taking quick action. - Having a detailed understanding of in-house systems and being agile in changing legacy systems when necessary. - Collaborating with teams such as Data Science, Product, Business to establish and monitor underwriting strategies. - Taking portfolio actions based on offus behavior triggers from bureau or alternate data sources. - Monitoring implemented strategies to continuously assess business and risk impact. Your interaction will involve collaborating with teams such as Data Science, Product, Technology, and Business. You should have a hands-on approach to risk segmentation and proactively assess risks in the portfolio to make a positive impact. A curious mind and the ability to evaluate acquisition and portfolio level risks are essential. Some challenges and decisions you will face include constant identification of changes that need to be initiated and assessing their impact on business and risk. Qualifications and Experience: - 4+ years of Risk Analytics or Portfolio Management experience in Financial Services/Secured lending. Skills required for this role include hands-on experience in defining risk strategies, managing portfolios, building risk models and policies, as well as problem-solving and analytical thinking abilities.,

Are you seeking an exciting opportunity to be part of a dynamic and growing team in a fast-paced and challenging environment As an Analytics Solutions Manager - Applied AI/ML Vice President within the Asset & Wealth Management (AWM) Risk Management team, your role will involve designing, developing, and implementing advanced AI/ML solutions to meet various business needs while ensuring scalability and performance. As a Generative AI/ML Specialist in the AWM Risk Management team, you will play a crucial role in an agile team dedicated to creating and implementing cutting-edge generative AI and machine learning solutions. Your responsibilities will include offering strategic leadership in designing and executing innovative generative AI/ML models and algorithms that drive business transformation and enhance decision-making processes. You will be tasked with architecting adaptable and scalable solutions that remain robust at their core yet flexible enough to evolve with changing business requirements. As a key technical and strategic contributor, collaboration across different business functions will be essential to integrate AI/ML capabilities that align with the firm's objectives. Furthermore, you will collaborate closely with leadership to provide thought leadership, create strategic roadmaps, and assess new AI/ML technologies, necessitating a blend of technical expertise and strategic foresight. Your responsibilities will include designing, developing, and implementing advanced AI/ML solutions to address various business needs, ensuring scalability and performance. You will also be involved in enhancing state-of-the-art Gen-AI models to support various use cases such as Document Q&A, Information Retrieval/Summarization, and Search. Collaborating with leadership to establish the technical vision and execute strategic roadmaps will be crucial in transforming business requirements into actionable AI/ML specifications. Leading AI/ML projects through the ML development lifecycle, employing agile methodology, defining key milestones, and ensuring timely delivery is another key responsibility. Staying updated on data science and machine learning advancements and collaborating with the internal AI/ML community to introduce innovative solutions to the AWM Risk organization is also part of your role. Mentoring junior data scientists and analysts, designing training programs to enhance AI/ML awareness and adoption within the team, developing and maintaining efficient data pipelines and workflows, and conducting exploratory data analysis to uncover trends and insights are additional responsibilities. Presenting findings through clear and impactful visualizations and reports to enable informed decision-making across the organization is also a key aspect of this role. Required Qualifications, Skills, and Capabilities: - Bachelor's or higher in a quantitative discipline such as Computer Science, Data Science, or Machine Learning with 7+ years of experience - Proficiency in programming languages such as Python or R, and experience with SQL and relational databases - Deep knowledge of machine learning, artificial intelligence, and statistical analysis and modeling techniques - Strong problem-solving skills, attention to detail, and the ability to work independently and as part of a team - Excellent communication and collaboration skills, with the ability to inspire and lead teams composed of both technical and non-technical members Preferred Qualifications, Skills, and Capabilities: - Experience with large language models (LLMs), prompt engineering techniques, and generative AI - Solid background in natural language processing (NLP), deep learning methods, and experience in implementing ML solutions for insights, pattern detection, and forecasting - Experience with Graph Databases, Large Graph Models (LGM), and GraphRAG applications,

The Machine Learning Architect role is a crucial position within our team where you will be responsible for studying and transforming data science prototypes, designing machine learning systems, and implementing cutting-edge artificial intelligence products. Your role will involve researching and implementing suitable ML algorithms, developing machine learning applications based on project requirements, and selecting appropriate datasets and data representation methods. Additionally, you will be conducting machine learning tests and experiments, performing statistical analysis, and fine-tuning systems based on test results. As a Machine Learning Architect, you will also be expected to train and retrain systems as needed, extend existing ML libraries and frameworks, and stay updated with the latest developments in the field. The ideal candidate for this position should have proven experience as a Machine Learning Architect or in a similar role, possess a strong understanding of data structures, data modeling, and software architecture, and demonstrate deep knowledge of math, probability, statistics, and algorithms. Candidates should have the ability to write robust code in Python, Java, and R, be familiar with machine learning frameworks such as Keras or PyTorch, and libraries like scikit-learn. Excellent communication skills, the capability to work effectively in a team, outstanding analytical and problem-solving abilities are essential for this role. A Bachelor's degree in Computer Science, Mathematics, or a related field is required, while a Master's degree would be considered a plus. If you are passionate about machine learning, possess the necessary skills and qualifications, and are looking to work on exciting AI projects, we encourage you to apply for the Machine Learning Architect position with us.,

As a Data Analyst with Market Research and Web Scraping skills at our company located in Udyog Vihar Phase-1, Gurgaon, you will be expected to leverage your 2-5 years of experience in data analysis, particularly in competitive analysis and market research within the Fashion/garment/apparel industry. A Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field is required, while advanced degrees or certifications in data analytics or market research are considered a plus. Your main responsibility will be to analyze large datasets to identify trends, patterns, and insights related to market trends and competitor performance. You will conduct quantitative and qualitative analyses to support decision-making in product development and strategy. Additionally, you will be involved in performing in-depth market research to track competitor performance, emerging trends, and customer preferences. Furthermore, you will design and implement data scraping solutions to gather competitor data from websites, ensuring compliance with legal standards and respect of website terms of service. Creating and maintaining organized databases with market and competitor data for easy access and retrieval will be part of your routine, along with collaborating closely with cross-functional teams to align data insights with company objectives. To excel in this role, you should have proven experience with data scraping tools such as BeautifulSoup, Scrapy, or Selenium, proficiency in SQL, Python, or R for data analysis and data manipulation, and experience with data visualization tools like Tableau, Power BI, or D3.js. Strong analytical skills and the ability to interpret data to draw insights and make strategic recommendations are essential. If you are passionate about data analysis, market research, and web scraping and possess the technical skills and analytical mindset required, we encourage you to apply by sending your updated resume with current salary details to jobs@glansolutions.com. For any inquiries, please contact Satish at 8802749743 or visit our website at www.glansolutions.com. Join us on this exciting journey of leveraging data to drive strategic decisions and make a meaningful impact in the Fashion/garment/apparel industry.,

As an innovative, enthusiastic, and versatile AI professional at Siemens Energy, you will be a crucial part of the Data & Artificial Intelligence team working on challenging projects within the energy industry. Your primary focus will be on developing advanced Artificial Intelligence solutions with a specific emphasis on Generative AI techniques. By combining strategic insights and the latest data science methodologies, you will help drive maximum value from data and create AI solutions that offer strategic advantages for day-to-day operations. In this role, you will collaborate with cross-organizational, multi-disciplinary teams to support the application and implementation of innovative data science and AI/ML concepts at scale. Your responsibilities will include leading the implementation of AI/ML initiatives across the company, providing training sessions, and ensuring awareness of these technologies. Staying updated on the latest developments in data science and AI/ML principles will be essential for making data-driven decisions and contributing to the company's success. To excel in this position, you should possess 3-6 years of IT experience with a deep understanding of Gen AI solutions, including frameworks like RAG (Retrieval-Augmented Generation), Agents, and Lang graph. Strong analytical skills, expertise in data science focusing on Generative AI and Natural Language Processing, and proficiency in programming languages such as Python are key attributes required for this role. Additionally, effective collaboration in global teams, excellent communication skills, customer focus, and a willingness to learn are essential qualities for success in this position. As part of the Corporate and Global Functions team at Siemens Energy, you will play a vital role in driving critical initiatives and ensuring operational excellence. You will contribute to the company's vision of becoming the most valued energy technology company by actively participating in shaping the global energy transition and engaging with internal and external stakeholders to conduct business responsibly and in compliance with legal requirements. Siemens Energy is a global leader in energy technology with a commitment to sustainability, reliability, and affordability. With a diverse team of employees from over 130 nationalities, the company values inclusion and celebrates differences. By joining Siemens Energy, you will be part of a legacy of innovation that focuses on decarbonization, new technologies, and energy transformation. If you are passionate about making a difference in the energy sector and contributing to a sustainable future, Siemens Energy offers a rewarding work environment with benefits such as remote working arrangements, medical insurance coverage for employees and their families, and meal card options as part of the comprehensive compensation package. Join us in driving the energy transformation and exploring new possibilities in the field of Artificial Intelligence at Siemens Energy. To explore career opportunities and learn more about Siemens Energy, visit: https://www.siemens-energy.com/employeevideo.,

As the Lead Data & AI Architect for 6G Automation at Nokia, you will play a crucial role within the Nokia Standards Architecture, Security, and Automation team. Your primary responsibility will be to leverage cutting-edge advancements in machine learning, logical reasoning, and data science to advance 6G networks towards autonomous operation. Joining a dynamic global team focused on continuous improvement and innovation in networking research, you will have the opportunity to elevate automation research to new heights. Your role will involve tackling real-world challenges, developing innovative solutions, and offering guidance on the application of artificial intelligence in communication networks. Nokia is seeking a lead architect to steer the research and standardization roadmap for 6G edge and AI automation. At Nokia, we value professionals who not only excel in their expertise but also possess a spirit of innovation, creativity, and visionary thinking. In this role, you will contribute to: - Conceptualizing network intelligent and data-driven automation strategies across wireline and wireless networks - Shaping the future of AI-native, autonomous 6G networks and their core architectures - Defining research and standards roadmaps for network automation and AI innovations - Collaborating with engineering teams to create novel AI solutions for network challenges - Mentoring and guiding network automation practitioners and data engineers - Staying updated on the latest advancements in network automation and AI technology - Building intellectual property assets for Nokia - Representing Nokia in industry events and publications - Supporting standards organizations with contributions and concepts - Validating concepts through experimental work and prototypes Key Skills and Experience: - PhD in computer science, telecommunications, or related field - 5+ years of experience in automation research for wireline and wireless networks - Knowledge of edge networking, machine learning platforms, and AI fundamentals - Hands-on experience in network automation and data analytics - Strong understanding of various AI sub-fields and data frameworks - Experience with standards specifications and project management - Excellent team collaboration skills and a drive for mentoring Desirable skills include R&D project management experience and expertise in network security and cloud platforms. As an autonomous, proactive, and collaborative professional, you will bring vision, systemic thinking, and innovative solutions to complex problems. Your curiosity and research spirit will drive you to innovate beyond the current state-of-the-art. Join Nokia in creating technology that fosters global collaboration and positive impact. Embrace our inclusive culture and be part of a diverse, empowered, and innovative team where your contributions will shape a more sustainable and inclusive world.,

As a member of our Data Analytics team, you will play a crucial role in understanding customers" financial needs and interactions with our products, services, and channels. Your responsibilities will involve various hands-on tasks that require creative thinking, ambition, and a curious attitude towards data. You will be expected to extract valuable insights from data to drive business decisions and strategies effectively. Your typical day will include activities such as identifying patterns of behaviors and events to anticipate customer actions, collaborating with key stakeholders to enhance operational processes, building business cases and test designs for pilot programs, analyzing customer interactions across different channels, developing performance metrics, and creating self-serve tools for real-time decision-making. To excel in this role, you should hold a Bachelor's or Master's Degree in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science, along with at least 5 years of experience in data science. Your ability to adapt, communicate effectively, and work with large datasets using SQL scripts and data analytics tools like SQL, Python, SAS, Tableau, or Alteryx will be crucial for success. Moreover, having a track record of solving business problems through analytical methods, leveraging insights to influence decision-making, and presenting recommendations to senior management will be highly beneficial. Experience in the financial services industry or consulting firms, familiarity with big data disciplines, AWS, Agile methodologies, and new technologies will be considered as preferred qualifications. In this role, you will have the opportunity to make a significant impact on the business by leveraging data-driven insights to drive customer-centric strategies and operational efficiency. If you are a proactive, analytical thinker with a passion for data analytics and a desire to contribute to the success of a banking office, we encourage you to apply for this position and be a part of our dynamic team.,

Are you passionate about the IT industry and eager to gain hands-on experience KEVELL GURU is excited to announce internship opportunities in various domains such as AI/ML, Microsoft Assure, Web Development, Flutter Development, Mobile App Development, UI/UX Design, Data Science, HR, IOT, and Full Stack. The internship duration ranges from short-term options of 10 days, 15 days, 21 days, and 30 days to long-term internships lasting 3 months, 4 months, and 6 months. Join us at KEVELL GURU's office locations: 1. 1st Floor, Hakeem Ajmal, 33, Madhavan Enclave, Hakim Ajmal Khan Rd, near Seventhday School, Chinna Chokikulam, Madurai, Tamil Nadu 625002. 2. No 54/F 4-1, Sarah Tucker College Road, Perumal Puram, Tirunelveli - 627007. 3. No 146/1-E Dindigul Palani Main Road, near Dharmar Mahal, Sivagiripatti, Palani - 624601. Don't miss this opportunity to enhance your skills and knowledge in the world of technology with KEVELL GURU!,

Are you passionate about the IT industry and eager to gain hands-on experience KEVELL GURU is excited to announce short-term internship opportunities in various domains including AI/ML, Microsoft Assure, Web Development, Flutter Development, Mobile App Development, UI/UX Designer, Data Science, HR, IOT, and Full Stack. The internship durations available are: - Short-term internship: 10 days, 15 days, 21 days, and 30 days - Long-term internship: 3 months, 4 months, 6 months The internship locations are as follows: 1. 1st Floor, Hakeem Ajmal, 33, Madhavan Enclave, Hakim Ajmal Khan Rd, near Seventhday School, Chinna Chokikulam, Madurai, Tamil Nadu 625002 2. No 54/F 4-1, Sarah Tucker College Road, Perumal Puram, Tirunelveli - 627007 3. No 146/1-E Dindigul Palani Main Road, near Dharmar Mahal, Sivagiripatti, Palani - 624601 If you are interested in this exciting internship opportunity, please send your resume to ishwarya.e@gmail.com or contact 82486 81608.,

As a Cloud Platform Engineer at Healthcare Intelligence within Providence, you will be responsible for the Azure Administration to ensure the availability and operational efficiency of the cloud platform. Your role will involve managing critical applications hosted on Azure Infrastructure, including AzureSQL, ADF, AKS, Azure VM, and more. Your primary focus will be on maintaining platform availability, reliability, and performance of the Azure Cloud Infrastructure. In the position of Sr. Cloud Engineer, you will play a crucial role in Azure Infrastructure administration, ensuring a highly available and stable environment with sustained performance. Your responsibilities will include working on various Azure services, implementing automation using IaaC approach, troubleshooting production issues, managing Azure resource utilization, and utilizing Telemetry solutions for monitoring and alerting. Your day-to-day activities will involve monitoring and addressing incidents and user requests related to Azure Infrastructure, collaborating with product teams on application architecture and performance issues, working with Enterprise Infrastructure and Security teams on policy implementation, and engaging with Microsoft support on severity issues. To be successful in this role, you should have a Bachelor's degree in Engineering, a minimum of 5 years of experience in Cloud Infrastructure administration with at least 3 years in Azure administration, strong knowledge of Azure Administration concepts, experience with Infrastructure as Code deployment, Azure DevOps, CI/CD, system reliability, Azure Databricks, Azure AI Services, and more. Additionally, you should be proficient in incident management, source code control systems, agile methodologies, and have excellent communication and collaborative skills. Join our team of professionals who are dedicated to improving patient and caregiver experience through innovative technologies and drive a lasting social impact. If you are a pioneering and compassionate individual who is ready to plan for the future of healthcare, we look forward to working with you in re-imagining the future of care with cutting-edge technologies.,

The role of Associate in the Capital Markets team is crucial as you will be responsible for conducting data analysis and providing insights to support business decisions. You must possess a strong analytical mindset, excellent communication skills, and the ability to work both independently and collaboratively within a team. You will be tasked with collecting, cleaning, and transforming data from various sources such as databases and spreadsheets. Conducting data analysis to identify trends, patterns, and insights relevant to business objectives will be a key responsibility. Additionally, you will develop and maintain reports and dashboards to track key performance indicators (KPIs) and monitor business performance. Preparing presentations and reports summarizing data findings for senior management will also be part of your role. Collaboration with internal stakeholders to understand their data needs and provide timely and accurate data support is essential. Proactively identifying and addressing data quality issues, as well as assisting in the development and implementation of data-driven strategies and initiatives, are crucial aspects of the role. You will be responsible for ensuring data accuracy, integrity, and security. Updating data-based information across various technology platforms for business leadership reports and dashboards, including Salesforce and SharePoint, will also be within your purview. To qualify for this role, you should hold a Bachelor's degree in Finance, Economics, Data Science, or a related field. Ideally, you should have 1-3 years of experience in a data analysis or business analyst role, preferably within the financial services industry. Strong analytical, quantitative, and problem-solving skills are a must. Excellent communication and interpersonal skills are required to effectively communicate complex data to technical and non-technical audiences. Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word) is necessary, along with experience in data management and governance principles. Attention to detail and accuracy, along with the ability to work independently and collaboratively, are essential qualities for this role. A proactive and results-oriented approach will help you succeed in this position.,

Your work at Caterpillar Inc. plays a crucial role in shaping the world by creating stronger, more sustainable communities. As part of a global team that values both the work being done and the well-being of each team member, you will have the opportunity to be a maker, problem solver, and future world builder. At Caterpillar, progress and innovation are not just talked about - they are made a reality through collaboration with customers and a commitment to building a better world for all to enjoy living in. As a Data Scientist at Caterpillar Inc., you will be responsible for transforming product data into valuable insights to support new product development, continuous product improvement, productivity enhancements, and condition monitoring. You will independently lead end-to-end analytics projects, act as a technical lead within the team, and collaborate closely with business stakeholders to understand their goals and provide visualization solutions through proof of concept (PoC) and building data hubs. Your role will involve designing data modeling processes, creating visualization solutions, reviewing insights generated by the BI Analytics team, and developing innovative PoCs to solve automation problems utilizing power platforms. In this position, you will serve as a single point of contact for internal clients, deliver solutions, work with the Scrum master to define user stories, and have a good understanding of various processes such as Manufacturing, Supply Chain, and Purchasing. You will be expected to come up with creative ways to visualize solutions based on business needs and possess a solid understanding of statistical tables to support development work. To be successful in this role, you should have a minimum of 4 years of experience in transforming business requirements into meaningful insights and providing solutions through visualization. A degree in B.Tech/M.Tech or an equivalent professional qualification in Data Science, Statistics, Machine Learning, and Data Visualization is required. As a Data Scientist at Caterpillar Inc., you will need to demonstrate expertise in domain knowledge, technical analysis, analytical thinking, decision-making, critical thinking, effective communications, technical excellence, software development, and requirements analysis. Proficiency in tools such as Tableau, Power BI, Python, SQL, Power Platform, Power Apps, Power Automate, and familiarity with servers, cloud databases such as SQL, Snowflakes, AWS, Azure DB, and Agile tools like Jira and Dev Ops is essential. If you are passionate about leveraging data to drive innovation and contribute to building a better world, consider joining Caterpillar Inc. to be part of a team that values collaboration, progress, and making a positive impact on communities worldwide.,