15431 Machine Learning Jobs - Page 8

The Analytics lead role within the Enterprise Data team requires an expert Power BI lead with profound data visualization experience, strong proficiency in DAX, SQL, and data modeling techniques. This position offers a unique opportunity to contribute to cutting-edge business analytics using advanced BI tools like cloud-based databases and self-service analytics, aligning with the company's vision of digital transformation. Responsibilities: - Lead and oversee a team of Power BI Developers, providing guidance and support in their daily tasks. - Design data visualization models and solutions within the Microsoft Azure ecosystem, including Power BI, Azure Synapse Analytics, MSFT Fabric, and Azure Machine Learning. - Develop strategies for analytics, reporting, and governance to ensure scalability, reliability, and security. - Collaborate with business stakeholders to define analytics and reporting strategies. - Ensure solutions are aligned with organizational objectives, compliance requirements, and technological advancements. - Act as a subject matter expert in Analytics services, mentoring senior/junior Power BI Developers. - Evaluate emerging technologies and analytical capabilities. - Provide guidance on cost optimization, performance tuning, and best practices in Azure cloud environments. Stakeholder Collaboration: - Work closely with business stakeholders, product managers, and data scientists to understand business goals and translate them into technical solutions. - Collaborate with DevOps, engineering, and operations teams to implement CI/CD pipelines for smooth deployment of analytical solutions. Governance and Security: - Define and implement policies for data governance, quality, and security, ensuring compliance with relevant standards such as GDPR and HIPAA. - Optimize solutions for data privacy, resilience, and disaster recovery. Qualifications: Required Skills and Experience: - Proficiency in Power BI and related technologies including MSFT Fabric, Azure SQL Database, Azure Synapse, Databricks, and other visualization tools. - Hands-on experience with Power BI, machine learning, and AI services in Azure. - Strong data visualization skills and experience. - 12+ years of Power BI Development experience, with a track record of designing high-quality models and dashboards. - 8+ years of experience using Power BI Desktop, DAX, Tabular Editor, and related tools. - Comprehensive understanding of data modeling, administration, and visualization. - Excellent leadership and communication skills. - Relevant certifications in Power BI, machine learning, AI, or enterprise architecture preferred. Key Competencies: - Expertise in data visualization tools like Power BI or Tableau. - Ability to create semantic models for reporting. - Familiarity with Microsoft Fabric technologies. - Strong understanding of data governance, compliance, and security frameworks. - Experience with DevOps and Infrastructure as Code tools. - Proven ability to drive innovation in data strategy and cloud solutions. - In-depth knowledge of business intelligence workflows and database design. - Experience in cloud-based data integration tools and agile development techniques. Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Dentsu Time Type: Full time Contract Type: Permanent,

The company is seeking a skilled and motivated Data Scientist to join the global team at Sloan and contribute significantly to the development of advanced AI platforms supporting Sales, Marketing, and Operations. In this role, you will lead and coordinate data science initiatives with the offshore team in India. Your responsibilities will include designing, constructing, and deploying AI models utilizing Python, R, SQL, and Java, with a particular emphasis on LLMs, forecasting, and customer analytics. By conducting statistical analysis, predictive modeling, and machine learning, you will address practical business challenges such as marketing and sales targeting enhancements, demand forecasting, customer retention modeling, operational efficiency enhancements, cost reduction strategies, advanced reporting, and insights generation. Additionally, you will be tasked with creating clear, compelling data visualizations and conveying insights to non-technical stakeholders. Collaboration with global teams, as well as managing and mentoring the data team in India, will be essential. Ensuring synchronization between U.S. business priorities and the Indian execution teams, taking charge of project schedules, task management, and quality assurance for deliverables will also fall under your purview. Qualified candidates should possess 5-7 years of hands-on experience in Data Science or a related field, advanced programming proficiency in Python, R, Java, and SQL, familiarity with machine learning models, statistical analysis, and data visualization tools, and experience in working with or developing solutions using LLMs. Demonstrated ability to utilize Cloud Services for analytics, previous experience leading or managing data analytics teams, excellent verbal and written communication skills, fluency in English, proactive self-starting abilities, and a bachelor's or master's degree in Computer Science, Engineering, Statistics, Mathematics, Artificial Intelligence, or a related field are necessary. Ideal candidates will reside within a one-hour commute of Sloan, Gurugram, India, and must be available for a full-time, in-office role as remote or hybrid options are not provided. Comfort working in a fast-paced, global environment with U.S.-based colleagues, experience in Multinational Companies (MNC), a self-starting, curious and open-minded attitude towards learning new concepts are preferred. This position requires working in the U.S. shift from 02:00 PM IST to 10:30 PM IST.,

As an exceptional quantitative trader with a proven track record of success, you are sought after for a rare opportunity in the field of High-Frequency Trading (HFT) in Bangalore, India. This role requires individuals with strategic expertise and algorithmic prowess to thrive in a fast-paced and intellectually rigorous environment. Your professional journey should showcase a career focused on applying advanced quantitative models to solve real-world trading problems. From model development to full-cycle strategy execution, your evolution should demonstrate an ability to adapt to changing market dynamics and excel in new trading environments and asset classes. Your projects and performance history should highlight consistent P&L generation, effective risk management, and a track record of developing alpha signals or enhancing existing trading strategies. You should have experience owning projects from conception to live deployment, collaborating with research and development teams to capitalize on market inefficiencies. Your professional skills should combine technical depth with strategic vision, enabling you to identify patterns in large datasets and translate them into actionable trading insights. Project leadership, managing trade-offs between speed and risk, and effective communication with technical and non-technical stakeholders are essential skills. With a strong command of quantitative trading principles, proficiency in statistical modeling, machine learning techniques, and time series analysis, you should also have hands-on experience with back-testing frameworks, simulation environments, market data APIs, trading protocols, and exchange connectivity. Your academic background should reflect a strong quantitative field, a history of continuous learning in quantitative finance, and any relevant professional qualifications or published research would be highly valued. In a collaborative, high-energy environment, you excel at building relationships with researchers and developers to achieve shared goals. Motivated by a meritocratic culture, you thrive on intellectual challenges, possess a competitive drive, a sense of accountability, and a commitment to excellence. Your sharp analytical mindset, adaptability to new technologies, and persistence in tackling complex problems are key attributes for success in this role. If you are prepared to lead with conviction, build enduring solutions, and embrace high-stakes challenges, we encourage you to apply for this exciting opportunity. For more information or to connect directly, please reach out to: Email: info@aaaglobal.co.uk Website: www.aaaglobal.co.uk Confidential conversations are always welcome.,

One of our prestigious clients, a TOP MNC Giant with a global presence, is currently seeking a Lead Enterprise Architect to join their team in Pune, Mumbai, or Bangalore. **Qualifications and Certifications:** **Education:** - Bachelors or masters degree in Computer Science, Information Technology, Engineering, or a related field. **Experience:** - A minimum of 10+ years of experience in data engineering, with at least 4 years of hands-on experience with GCP cloud platforms. - Proven track record in designing and implementing data workflows using GCP services such as BigQuery, Dataform Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer. **Certifications:** - Google Cloud Professional Data Engineer certification is preferred. **Key Skills:** **Mandatory Skills:** - Advanced proficiency in Python for developing data pipelines and automation. - Strong SQL skills for querying, transforming, and analyzing large datasets. - Hands-on experience with various GCP services including Cloud Storage, Dataflow, Cloud Pub/Sub, Cloud SQL, BigQuery, Dataform, Compute Engine, and Kubernetes Engine (GKE). - Familiarity with CI/CD tools like Jenkins, GitHub, or Bitbucket. - Proficiency in Docker, Kubernetes, Terraform, or Ansible for containerization, orchestration, and infrastructure as code (IaC). - Knowledge of workflow orchestration tools such as Apache Airflow or Cloud Composer. - Strong understanding of Agile/Scrum methodologies. **Nice-to-Have Skills:** - Experience with other cloud platforms like AWS or Azure. - Familiarity with data visualization tools such as Power BI, Looker, or Tableau. - Understanding of machine learning workflows and their integration with data pipelines. **Soft Skills:** - Strong problem-solving and critical-thinking abilities. - Excellent communication skills to effectively collaborate with both technical and non-technical stakeholders. - Proactive attitude towards innovation and continuous learning. - Ability to work independently and as part of a collaborative team. If you are interested in this opportunity, please reply back with your updated CV and provide the following details: - Total Experience: - Relevant experience in Data Engineering: - Relevant experience in GCP cloud platforms: - Relevant experience as an Enterprise Architect: - Availability to join ASAP: - Preferred location (Pune / Mumbai / Bangalore): We will contact you once we receive your CV along with the above-mentioned details. Thank you, Kavita.A,

Job Description: As a leader at a Fortune Global 500 organization, you will be responsible for advocating various data science teams on best practices surrounding the development and implementation of advanced analytic systems and predictive and prescriptive models. Working closely with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects, you will play a crucial role in creating and delivering insights from large and disparate data to enable confident business decisions. Your role will involve evaluating and adopting emerging technologies that support statistical modeling, machine learning, distributed computing, and run-time performance tuning to optimize processes and introduce new products and services to the market. Additionally, you will support senior leadership by planning and executing broad advanced analytics initiatives aimed at delivering value to both internal and external stakeholders. Furthermore, you may also be involved in managing people within the department. Responsibilities: - Lead and oversee the data analysts, data scientist team, machine learning engineers, and big data specialists to implement models and systems that provide optimal results and are scalable to meet future business needs. - Serve as a subject matter expert on UPS business processes, data, and advanced analytics capabilities to define problems, data, and model requirements using proven predictive and prescriptive techniques. - Maintain a broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to develop strategies that support the creation, development, and delivery of analytic solutions aligned with business needs. - Prototype algorithms to ensure analytic results address problem statements and business requirements effectively. - Interpret and analyze large-scale datasets to uncover insights supporting the building of analytic systems and predictive models while experimenting with new and emerging techniques. - Identify and evaluate cutting-edge open-source, data science/machine learning libraries, data platforms, and vendor solutions to prioritize and plan data projects across the enterprise. - Provide thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, recommend courses of action, and design and implement solutions. - Advocate for best practices in the adoption of Cloud-AI technologies, open-source software, machine learning libraries/packages, and data science platforms to derive actionable insights empowering business decisions. - Communicate effectively with business customers and the senior leadership team with varying levels of technical knowledge, educate them about systems, and share insights and recommendations to inform business strategies. - Manage analytics projects/teams and act as a point of contact to ensure alignment of team actions and communication with stakeholders to keep projects on track with goals. Qualifications: - Ability to engage key business and executive-level stakeholders to translate business problems into high-level analytics solutions. - Extensive experience working with large-scale, complex datasets to develop machine learning, predictive, forecasting, and optimization models. - Proven track record of handling ambiguity, prioritizing needs, and delivering results in a dynamic environment. - Expertise in data management pipelines involving data extraction, analysis, and transformation using data querying languages (e.g. SQL, NoSQL, BQ) or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). - Hands-on experience in launching moderate to large-scale advanced analytics projects in production at scale; utilizing Cloud-AI technologies, machine learning frameworks, and enterprise data science platforms. - Ability to explain technical concepts to non-experts, strong analytical skills, attention to detail. - Direct experience in developing analytical solutions empowering business decisions and product creation using various techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP). - Excellent verbal and written communication skills with the ability to convey data through a story framework, present data-driven results to technical and non-technical audiences, and advocate technical solutions to diverse groups. - Master's Degree in a quantitative field such as mathematics, computer science, physics, economics, engineering, statistics, or equivalent job experience. Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.,

As a Project Manager / Assistant Manager at iMerit located in Kolkata, you will be responsible for overseeing data annotation projects that provide labeled training datasets for machine learning models. Your primary role will involve managing teams of project managers, prompt engineers, content writers, and English language experts to ensure project milestones are met and project outcomes align with client expectations. In this role, you will lead and manage large-scale data annotation projects involving diverse teams, including single-frame, multi-frame, EgoPose LiDar Data, and Multimodal AV projects. You will initiate and develop strong partnerships with customers and customer success managers to define and evaluate project goals and service performance outcomes. Designing and implementing project plans focusing on efficiency, quality, and timely delivery while aligning with the company's mission will be crucial. Collaborating with the Technology team to ensure the high quality and accuracy of data annotation, you will be required to juggle multiple competing priorities in a fast-paced environment and make strategic decisions based on data analysis. Managing and resolving conflicts within teams, while keeping employees motivated and engaged, will also be part of your responsibilities. Additionally, you will liaise with senior stakeholders across functions to create synergies and enhance client experiences and ensure compliance with all relevant guidelines, standards, and certifications (e.g., ISO). To excel in this role, you should have proven ability to manage complex LiDar projects in a dynamic, fast-paced environment and possess strong leadership skills with the ability to coach and mentor diverse teams. Exceptional problem-solving skills, analytical abilities, expertise in project management methodologies and tools, excellent communication, and presentation skills with proficiency in English are essential. You should also have a high attention to detail and quality orientation, along with proficiency in Microsoft Office Suite and Google Workspace. As a Project Manager / Assistant Manager, you will be responsible for your team members" overall well-being, addressing concerns, facilitating career development, encouraging active participation in company and engagement activities, and maintaining responsibility for compliance with all applicable regulations and certifications. About iMerit: iMerit is a global enterprise in data enrichment and annotation, delivering enterprise-level solutions to its esteemed clients consistently. With a focus on AI and Machine Learning ecosystems, iMerit works with innovative companies to unlock the value hidden in large volumes of unstructured datasets. The company has been recognized for its quality, cost-effective projects delivered on time and on budget. With a commitment to creating an inclusive work culture, iMerit offers job seekers a fast-paced, exciting, full-time business opportunity with a strong focus on employee growth and development. If you are an aspiring learner looking to make a career in a fast-growing technology company, consider joining iMerit's rapidly-expanding team and becoming part of an award-winning organization that is shaping the future of data enrichment, annotation, and labeling in Artificial Intelligence and Machine Learning. Visit www.imerit.net for more information.,

We are looking for a talented MERN Stack Intern to join our dynamic team of innovators and contribute to the development of our AI products from start to finish. As a MERN Stack Intern, you will work closely with our team of AI engineers and domain experts to create robust and scalable software solutions that incorporate AI technologies into real-world applications. The ideal candidate should have a passion for using technology to solve complex problems and possess a solid background in both frontend and backend development. As a MERN Stack Intern, your responsibilities will include collaborating with cross-functional teams to understand project requirements and translate them into technical specifications. You will develop front-end components using React.js and integrate them with back-end services built with Node.js and Express.js. Additionally, you will design and implement RESTful APIs for seamless communication between the front-end and back-end systems, leverage databases such as MongoDB for efficient data storage and retrieval, and implement AI and machine learning algorithms to enhance product functionality and user experience. It is crucial to write clean, maintainable, and well-documented code following best practices and coding standards. You will also be involved in code reviews, debugging, and troubleshooting to ensure the software's quality and reliability. The ideal candidate for this role should hold a Bachelors or Masters Degree in Computer Science, Engineering, or a related field. Proficiency in JavaScript, HTML, CSS, and related web technologies is essential, along with a strong understanding of the MERN stack. Familiarity with AI and machine learning concepts and frameworks like TensorFlow, PyTorch, and scikit-learn will be advantageous. Strong problem-solving skills, attention to detail, the ability to work effectively in a team environment, excellent communication skills, and a passion for learning new technologies are key attributes we are looking for. Techolution is a consulting firm committed to delivering innovative solutions and enhancing the human experience through novel technologies. Our goal is to help our enterprise clients achieve greater profits while creating positive impacts on the communities they serve. Recently recognized with the prestigious Inc 500 Best In Business award, we are dedicated to excellence and delivering ROI-generating innovation at a guaranteed price for each client. Visit our website www.techolution.com to learn more about our innovative core practices and how we use technology to enrich human experiences.,

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow - people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. This position involves developing batch and real-time data pipelines utilizing various data analytics processing frameworks in support of Data Science and Machine Learning practices. You will assist in integrating data from various sources, both internal and external, performing extract, transform, load (ETL) data conversions, and facilitating data cleansing and enrichment. Additionally, you will be involved in full systems life cycle management activities, including analysis, technical requirements, design, coding, testing, and implementation of systems and applications software. The role also entails synthesizing disparate data sources to create reusable and reproducible data assets, as well as assisting the Data Science community in analytical model feature tuning. Responsibilities include contributing to data engineering projects and building solutions by leveraging foundational knowledge in software/application development, programming languages for statistical modeling and analysis, data warehousing, and Cloud solutions. You will collaborate effectively, produce data engineering documentation, gather requirements, organize data, and define project scopes. Data analysis and presentation of findings to stakeholders to support business needs will be part of your tasks. Additionally, you will participate in the integration of data for data engineering projects, understand and utilize analytic reporting tools and technologies, and assist with data engineering maintenance and support. Defining data interconnections between operational and business functions, backup and recovery, and utilizing technology solutions for POC analysis are also key responsibilities. Requirements for this role include understanding of database systems and data warehousing solutions, data life cycle stages, data environment scalability, data security, regulations, and compliance. You should be familiar with analytics reporting technologies, algorithms, data structures, Cloud services platforms, ETL tools capabilities, Machine learning algorithms, building data APIs, and coding using programming languages for statistical analysis and modeling. Basic knowledge of distributed systems and a Bachelor's degree in MIS, mathematics, statistics, computer science, or equivalent job experience are necessary qualifications. This is a permanent position at UPS, committed to providing a workplace free of discrimination, harassment, and retaliation.,

The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help the retail business make data-driven decisions. You will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Key Responsibilities: - Leverage Retail Knowledge: Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. - Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. - Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models. - Use AI-driven techniques for personalization, demand forecasting, and fraud detection. - Utilize advanced statistical methods to optimize existing use cases and build new products to serve new challenges and use cases. - Stay updated on the latest trends in data science and retail technology. - Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional & Technical Skills: - Strong analytical and statistical skills. - Expertise in machine learning and AI. - Experience with retail-specific datasets and KPIs. - Proficiency in data visualization and reporting tools. - Ability to work with large datasets and complex data structures. - Strong communication skills to interact with both technical and non-technical stakeholders. - A solid understanding of the retail business and consumer behavior. - Programming Languages: Python, R, SQL, Scala - Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras - Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn - Big Data Technologies: Hadoop, Spark, AWS, Google Cloud - Databases: SQL, NoSQL (MongoDB, Cassandra) Additional Information: - Job Title: Retail Specialized Data Scientist - Management Level: 09 - Consultant - Location: Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata - Company: Accenture This position requires a solid understanding of retail industry dynamics, strong communication skills, proficiency in Python for data manipulation, statistical analysis, and machine learning, as well as familiarity with big data processing platforms and ETL processes. The Retail Specialized Data Scientist will be responsible for gathering, cleaning, and analyzing data to provide valuable insights for business decision-making and optimization of pricing strategies based on market demand and customer behavior.,

As a Data Scientist_VIS at Viraaj HR Solutions, you will play a crucial role in analyzing complex datasets to derive actionable insights and develop predictive models to address various business challenges. Your responsibilities will include collaborating with cross-functional teams to define data requirements, creating data visualizations and dashboards for effective presentation of findings, and conducting statistical analysis to identify trends and patterns. Additionally, you will be utilizing machine learning algorithms for data prediction, designing and maintaining databases to store large datasets, and gathering and preprocessing data for analysis. It will be essential for you to identify opportunities for process improvement based on data insights, ensuring data quality and accuracy throughout data handling processes, and supporting the implementation of data-driven strategies within the organization. To excel in this role, you should hold a Bachelor's or Master's degree in Data Science, Statistics, or a related field, along with proven experience as a Data Scientist or in a similar capacity. Strong programming skills in Python or R, experience with SQL databases and querying, and familiarity with big data technologies like Hadoop or Spark will be advantageous. Moreover, your expertise in machine learning algorithms, data visualization tools such as Tableau or Power BI, and statistical analysis techniques will be critical for success. As a valued member of our team, you will have the opportunity to work on big data technologies to enhance data processing capabilities, stay updated with the latest data science trends and technologies, and collaborate on research projects to explore innovative solutions. Your role will also involve mentoring junior data scientists and interns, necessitating exceptional analytical skills, attention to detail, and strong communication abilities to convey complex data insights to non-technical audiences effectively. If you possess skills in predictive modeling, team collaboration, cloud computing, data analysis, project management, problem-solving, and data quality assurance, along with a passion for continuous learning and adaptation in a fast-paced environment, we encourage you to apply. Join us in leveraging data management best practices and shaping the future of data science at Viraaj HR Solutions.,

Join us as a MI Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. Collaborating closely with the wider Data Solutions and Services team, tech, and key stakeholders to ensure alignment and maximize business impact. You will build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Solutions. Look for opportunities to optimize and enhance existing processes and build out self-serve capabilities. To be successful as a MI Analyst, you must possess Essential Skills/Preferred Qualifications: - Experience of working with a range of stakeholders and building effective relationships across the business and geographies. - Strong knowledge of SAS and SQL. - Good communication and stakeholder management skills. - Team Player. Desired Skills/Preferred Qualifications: - Business Objects. - Power BI. You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. Location: Noida. Purpose of the role: To implement data quality processes and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organization improve its operation and optimize resources. Accountabilities: - Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. - Execution of data cleansing and transformation tasks to prepare data for analysis. - Designing and building data pipelines to automate data movement and processing. - Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems. - Documentation of data quality findings and recommendations for improvement. Analyst Expectations: To meet the needs of stakeholders/customers through specialist advice and support. Perform prescribed activities in a timely manner and to a high standard that will impact both the role itself and surrounding roles. Likely to have responsibility for specific processes within a team. They may lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L - Listen and be authentic, E - Energize and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they manage their workload, take responsibility for the implementation of systems and processes within their work area, and participate in projects broader than the direct team. Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams. Check the work of colleagues within the team to meet internal and stakeholder requirements. Provide specialist advice and support pertaining to their work area. Take ownership of managing risk and strengthening controls in relation to the work they own or contribute to. Deliver work and areas of responsibility in line with relevant rules, regulations, and codes of conduct. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge, and Drive - the operating manual for how we behave.,

Embark on a transformative journey as a Data Test Lead at Barclays, where the vision is clear to redefine the future of banking and craft innovative solutions. In this role, you will be responsible for creating and enhancing the data that drives the bank's financial transactions, placing data quality at the forefront of all operations. This presents a unique opportunity to shape the organization's data usage and be a part of an exciting transformation in the banking sector. To excel as a Data Test Lead, you should have experience with a diverse range of solutions including Fraud Detection, Fraud Servicing & IDV, Application Fraud, and Consumption BI patterns. Strong Test Automation skills are essential, along with the ability to create frameworks for regression packs. Providing technical guidance and driving the Test Automation team is crucial, emphasizing proactive automation to ensure alignment with the development lifecycle. Collaborating on the DevOps agenda, configuring Jenkins/GitLab pipelines, and maturing automation capabilities through proper documentation are key responsibilities. Additional valued skills for this role include collaborating with development teams to ensure testability and quality throughout the SDLC, identifying opportunities for test optimization, and mentoring junior QA engineers on automation best practices. Effective communication skills, SQL proficiency, working knowledge of Oracle, Hadoop, Pyspark, Ab-initio, and other ETL tools, as well as experience with metadata, domain maintenance, and JIRA, are also highly advantageous. The purpose of this role is to design, develop, and execute testing strategies to validate functionality, performance, and user experience, while working closely with cross-functional teams to identify and resolve defects. The Accountabilities include developing and implementing comprehensive test plans, executing automated test scripts, analysing requirements, conducting root cause analysis, and staying informed of industry technology trends. As an Assistant Vice President, you are expected to advise and influence decision-making, contribute to policy development, and lead a team performing complex tasks with professionalism and expertise. People Leaders are also expected to demonstrate leadership behaviours that create an environment for colleagues to excel. Colleagues at Barclays are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive in their daily interactions and work.,

We are looking for a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). Your responsibilities will include automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will collaborate with technical teams to develop cutting-edge machine learning systems that drive business value. In this role, you will manage the deployment and maintenance of machine learning models in production environments, ensuring seamless integration with existing systems. You will monitor model performance using metrics such as accuracy, precision, recall, and F1 score, addressing issues like performance degradation, drift, or bias. Troubleshooting problems, maintaining documentation, and managing model versions for audit and rollback will be part of your routine tasks. Your duties will also involve analyzing monitoring data proactively to identify potential issues and providing regular performance reports to stakeholders. Additionally, you will focus on optimizing queries and pipelines, as well as modernizing applications when necessary. To qualify for this role, you should have expertise in programming languages like Python and SQL, along with a solid understanding of best MLOps practices for deploying enterprise-level ML systems. Familiarity with Machine Learning concepts, models, and algorithms, such as regression, clustering, and neural networks, including deep learning and transformers, is essential. Experience with GCP tools like BigQueryML, Vertex AI Pipelines, Model Versioning & Registry, Cloud Monitoring, and Kubernetes is preferred. Strong communication skills, both written and oral, are crucial, as you will be required to prepare detailed technical documentation for new and existing applications. You should demonstrate strong ownership and collaborative qualities in your domain, taking the initiative to identify and drive opportunities for improvement and process streamlining. A Bachelor's Degree in a quantitative field or equivalent job experience is required for this position. Experience in Azure MLOPS, familiarity with Cloud Billing, setting up or supporting NLP, Gen AI, LLM applications with MLOps features, and working in an Agile environment are considered bonus qualifications. If you are passionate about MLOps, have a knack for problem-solving, and enjoy working in a collaborative environment to deliver innovative machine learning solutions, we would like to hear from you.,

You are an experienced Machine Learning Developer currently seeking a long-term freelance opportunity with Norconsulting in Chennai, India, to work with a major Banking organization. As part of the development team, you will report to the project manager and technical leads in WBG. Your role will require a Bachelor's degree in Computer Science or Engineering, along with a minimum of 6 years of relevant work experience. You should have at least 3 years of hands-on experience as an AI/ML developer, focusing on real implementation projects. Expertise in Python is essential for this position. In this role, you will work on data normalization, data cleansing, and data validation techniques. You should possess a deep understanding of machine learning and AI technologies, with the ability to design, train, and implement machine learning models. Experience with ML/AI frameworks such as TensorFlow, PyTorch, or Scikit-learn is necessary. Your responsibilities will include working with structured and unstructured data, as well as utilizing natural language processing techniques for automation. Knowledge of Azure-related AI/ML services is preferable. Experience in Python application and library development, as well as RESTful web service API development, is required. An understanding of the finance industry and familiarity with financial data sources are advantageous. Additionally, you should be well-versed in implementing best practices in the AI/ML domain. Experience with Azure Cognitive services like Language service, Form Recognizer, BOT framework, and Open AI is beneficial. Knowledge of Statistical Programming languages, Machine Learning, and Microsoft Data Certification are all considered advantageous for this position. If you are a skilled Machine Learning Developer looking to contribute to exciting AI/ML projects within the banking sector, this opportunity may be the perfect fit for you.,

As an AI Data Scientist at Johnson Controls located in Pune, India, you will be an integral part of the Data Strategy & Intelligence team. You will be responsible for developing and deploying machine learning/Generative AI and time series analysis models in production to contribute to optimized energy utilization, auto-generation of building insights, and predictive maintenance for installed devices. To excel in this role, you must possess a deep understanding of machine learning concepts, Large Language Models (LLM), time series models, and have hands-on experience in developing and deploying ML/Generative AI/time series models in a production environment. Your primary responsibilities will include developing and maintaining AI algorithms and capabilities within digital products at Johnson Controls. By leveraging data from commercial buildings and applying advanced algorithms, you will optimize building energy consumption, reduce CO2 emissions, enhance user comfort, and generate actionable insights to improve building operations. Additionally, you will translate data into recommendations for various stakeholders, ensuring that AI solutions deliver robust and repeatable outcomes through well-designed algorithms and software. Collaboration is key in this role, as you will work closely with product managers to design new AI capabilities, explore and analyze datasets, write Python code to develop ML/Generative AI/time series prediction solutions, implement state-of-the-art techniques in Generative AI, and pre-train and finetune ML models over CPU/GPU clusters. You will also uphold code-quality standards, develop test cases to validate algorithm correctness, and communicate key results to stakeholders effectively. The ideal candidate for this position should hold a Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 5 years of experience in developing and deploying ML models. Proficiency in Python and standard ML libraries such as PyTorch, Tensorflow, and scikit-learn is essential. Moreover, a strong understanding of ML algorithms and techniques, experience in working with cloud-based ML/GenAI model development/deployment, and excellent communication skills are prerequisites for success in this role. Preferred qualifications include prior domain experience in smart buildings and building operations optimization, as well as experience working with Microsoft Azure Cloud.,

As an intern at S.S.Rana & Co., you will have the opportunity to research and develop machine learning models from inception to deployment. You will work collaboratively with teams to translate business needs into robust technical solutions. Your responsibilities will also include learning and crafting algorithms for efficiently processing vast datasets in real-time. Furthermore, you will integrate models with various platforms for real-world applications and focus on enhancing model performance to achieve greater accuracy and efficiency. It will be essential for you to stay updated on technological advancements to drive innovation within the company. S.S.Rana & Co., established in 1989, is a leading Indian full-service law firm specializing in intellectual property and corporate laws. The firm boasts a dedicated team of advocates, engineers, software professionals, paralegals, and support staff who excel in various areas of practice, including intellectual property rights, corporate and commercial laws, and dispute resolution. With over three decades of experience, the firm has been providing assistance to clients in India and worldwide. Their clientele ranges from fortune 500 companies to Indian multinationals, individuals, inventors, and grassroots innovators across diverse industries such as aviation, automobile, bio-medical, pharmaceutical, consumer goods, real estate, IT technology, e-commerce, heavy machinery, media and entertainment, sports and gaming, hospitality, and education.,

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking, you play a crucial role in an agile team dedicated to enhancing, building, and delivering top-notch technology products in a secure, stable, and scalable manner. You are tasked with providing innovative technical solutions across various business functions to support the firm's objectives. You will lead and mentor a team of mobile application and full-stack developers, fostering collaboration and growth within the team. Your responsibilities include executing creative software solutions, designing, developing, and troubleshooting technical issues with a forward-thinking approach. You will also be involved in developing high-quality production code, conducting code reviews, and debugging code written by others. Identifying opportunities to automate remediation of recurring issues to enhance operational stability, contributing to the adoption of firmwide frameworks and practices, and leading communities of practice across Software Engineering to promote the use of cutting-edge technologies are also part of your role. Additionally, you will contribute to fostering a team culture of diversity, equity, inclusion, and respect. To be successful in this role, you must have formal training or certification in iOS application development with at least 5 years of applied experience. Hands-on experience in system design, application development, testing, and operational stability is essential. Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle is required. A solid understanding of agile methodologies, application resiliency, security, financial services industry IT systems, and cloud native experience are also necessary. Preferred qualifications include experience with CI/CD tools like Jenkins, knowledge of Cloud technologies such as AWS and Firebase, familiarity with Swift Package Manager, CocoaPods, dependency management, and web application development. Proficiency in Swift, SwiftUI, UIKit, Combine, and other iOS frameworks, along with strong knowledge of system design, architectural patterns, and design principles, are valuable assets for this role.,

As a Data Science Manager, you will have the following key accountabilities: Team Leadership: You will be responsible for building and leading a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Your role involves fostering a collaborative and inclusive team culture that encourages innovation and continuous learning. Technical Communication: It is essential for you to effectively explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders. Business Understanding: Your solid business understanding will be utilized to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. You should ensure clear communication and understanding of project goals and outcomes. Key Qualifications: Educational Background: A PhD or Masters degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with a minimum of 8+ years of experience as a Data Scientist is required. Leadership Experience: You should have proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams. Communication Skills: You must possess the ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences. Strong problem-solving skills and an independent working style are also essential. Technical Expertise: Your role requires strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques. Proficiency in analytical programming languages such as Python or R, along with their respective ecosystems, is necessary. Hands-on experience implementing these models in production systems and software development skills, including unit testing, CI/CD, and version control with Git are essential. Familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies is also expected. Preferred qualifications: Experience in the Media industry is a plus. Experience working with cloud-based data services (AWS, Azure, or GCP) is advantageous. Experience with Optimization techniques such as linear programming, integer programming, genetic algorithms, constrained optimization is a plus.,

As a Machine Learning Engineer at Optimum Data Analytics, you will be part of a strategic technology partner delivering reliable turnkey AI solutions. Your role will involve designing, developing, and deploying machine learning models for real-world applications using modern ML tools and frameworks. You will collaborate with cross-functional teams to ensure high-quality results and client satisfaction. Additionally, you will work on integrating and experimenting with Large Language Models, such as OpenAI GPT and Hugging Face Transformers, to drive outcomes that matter. Your expertise in Python programming, machine learning algorithms, and model development will be crucial in optimizing end-to-end ML pipelines and improving model accuracy and reliability. Key Responsibilities: - Design, develop, and deploy machine learning models for real-world applications. - Implement and optimize end-to-end ML pipelines using PySpark and MLflow. - Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. - Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. - Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. - Collaborate with cross-functional teams including data engineers, product managers, and software developers. - Monitor model performance and continuously improve model accuracy and reliability. - Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: - Strong programming experience in Python. - Solid understanding of machine learning algorithms, model development, and evaluation techniques. - Experience with PySpark for large-scale data processing. - Proficient with MLflow for tracking experiments and model lifecycle management. - Hands-on experience with Pandas, NumPy, and Scikit-learn. - Familiarity or hands-on experience with Large Language Models (LLMs). - Understanding of MLOps principles and deployment best practices. Preferred Qualifications: - Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. - Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. - Strong analytical and problem-solving abilities. - Excellent communication and teamwork skills. If you are a highly motivated individual with 6-8 years of experience in Machine Learning and are looking to work onsite at either Pune or Indore office with an immediate joiner notice period of 15 days, we invite you to join our team at Optimum Data Analytics. Let's change how AI/ML is approached in the service sector and deliver outcomes that matter together.,

As a Data Scientist Lead-GenAI at Your Partner, a strategic technology partner specializing in AI solutions, you will be responsible for developing and deploying machine learning models and NLP solutions. With 8 to 10 years of experience, you will play a key role in optimizing performance for GenAI applications and collaborating with cross-functional teams to deliver AI-driven insights. Your expertise in Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) will be essential in driving the success of our projects. Proficiency in Python and NLP libraries such as NLTK, spaCy, TextBlob, TensorFlow, PyTorch, and Hugging Face is required. Experience with pre-trained models like BERT, GPT-3, and Transformers, as well as text preprocessing techniques including tokenization, part-of-speech tagging, lemmatization, stemming, and named entity recognition, will be highly valued. As a key member of our team, you will be expected to stay updated with the latest advancements in NLP technologies and play a crucial role in the growth and transformation of businesses. Your role will involve handling NLP tasks such as sentiment analysis, text classification, and entity recognition, while also focusing on effective stakeholder management and people leadership. Join us in changing how AI/ML is approached in the service sector and delivering outcomes that matter. Your contributions will enable businesses to grow, transform, and achieve their objectives, ultimately increasing profit and delivering improved value for customers.,

We are seeking an experienced Senior Data Scientist to be a part of our analytics team and take charge of impactful projects. This role necessitates a profound comprehension of statistical analysis, machine learning, and data-focused strategy, with an emphasis on crafting and implementing innovative analytics solutions to address intricate business requirements. The ideal candidate will possess extensive hands-on experience, robust technical acumen, and demonstrated leadership skills to steer a team of data scientists and machine learning engineers. Your responsibilities will include utilizing advanced statistical techniques to scrutinize extensive datasets, unveiling trends and patterns that bolster data-driven decision-making. You will also be tasked with identifying and outlining use cases that underpin business strategies, leveraging insights from data to create value and direct strategic initiatives. In addition, you will evaluate the data analytics maturity of the organization through descriptive data analysis to assess existing capabilities. You will formulate and present use cases for advanced analytics, encompassing diagnostic, predictive, and prescriptive models to enrich data utilization. As a Senior Data Scientist, you will apply your hands-on proficiency in Python and data science, employing a spectrum of machine learning algorithms for various tasks such as regression, classification, natural language processing (NLP), and operational research. Your role will also involve implementing, enhancing, and managing complex models to ensure scalability and efficacy. Furthermore, you will leverage your expertise in large language models (LLMs) and Retrieval-Augmented Generation (RAG) models to construct sophisticated applications, including chatbots and other NLP-based solutions. Communication is key in this role, as you will be expected to convey intricate analytics insights to stakeholders, lead customer meetings, and propose actionable, data-driven solutions. You will be responsible for developing solutions that align with business objectives by translating business requirements into impactful, data-driven solutions. Encouraging a solution-oriented mindset within the team and concentrating on delivering analytics solutions that enhance decision-making and drive value will be pivotal. Moreover, you will lead a team of data scientists and machine learning engineers, offering mentorship, technical guidance, and project oversight. Ensuring that team projects align with business goals, emphasizing quality and timely delivery, is crucial. To qualify for this role, you should have at least 5-7 years of practical experience in data science, machine learning, and statistical analysis. A proven track record in managing and mentoring a team of data scientists and engineers is essential. Proficiency in Python and essential libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch) is required. Key Skills: - Strong knowledge of machine learning techniques, encompassing regression, classification, NLP, and operational research. - Experience with deep learning, LLMs, and RAG models for advanced applications like chatbot development is highly desirable. - Exceptional problem-solving skills with a focus on delivering actionable business insights. - Excellent communication, presentation, and interpersonal skills. - Ability to work both independently and collaboratively in a fast-paced, dynamic environment.,

As a Senior Data Scientist specializing in Artificial Intelligence and Machine Learning at FIS, you will be part of a dynamic team that thrives on curiosity, motivation, and forward-thinking. Your role will involve utilizing cutting-edge AI technologies to tackle complex challenges in the financial services and technology sectors. You will be responsible for leveraging AIML concepts such as GenAI, LLMs, and Sentiment analysis to develop innovative solutions. This will involve establishing correlations between various data points and conducting predictive and preventive analyses to drive business outcomes. Working closely with our AIOPS team, you will contribute to the development of AIML solutions aimed at reducing Enterprise MTTR through a top-notch product. Your day-to-day tasks will include employing machine learning and statistical modeling techniques to enhance data-driven products, extracting actionable insights from diverse datasets, and transforming complex data into actionable information. To excel in this role, you should possess 4 to 6 years of experience in machine learning, artificial intelligence, statistical modeling, and data analysis. Proficiency in data science tools and programming languages such as SAS, Python, R, Scala, and SQL is essential. A relevant degree in Artificial Intelligence Machine Learning, as well as knowledge of cloud-based technologies and the financial services industry, will be advantageous. In return, FIS offers a comprehensive range of benefits to support your wellbeing and lifestyle. You will be part of a diverse and innovative team operating in a modern international work environment. Additionally, you will have access to professional education and personal development opportunities to further enhance your skills and career growth. Join us at FIS and be part of a team that values collaboration, entrepreneurship, and fun while making a meaningful impact in the world of AI and data science.,

As an individual contributor at Adobe, you will play a pivotal role in driving innovation and shaping the future of digital experiences. Adobe is dedicated to fostering a work environment where every employee is valued, respected, and provided with equal opportunities. Your insights and ideas are highly valued as we strive to build exceptional products and services that cater to a global audience. The opportunity at hand involves working on a cutting-edge Component Content Management System that powers structured content for large enterprises. In this role, you will collaborate with cross-functional teams to identify key project interfaces and implement complex Machine Learning (ML) solutions using technologies such as Natural Language Processing (NLP), Generative AI, and Transformer architectures. Your responsibilities will include developing, evaluating, and deploying scalable ML models, monitoring their performance, and continuously enhancing Adobe's products and services. To excel in this role, you should possess a master's degree or equivalent experience in Machine Learning, with a minimum of 10 years of combined industry experience in ML, software engineering, and data engineering. Proficiency in Python, ML frameworks like PyTorch and TensorFlow, as well as strong programming skills in languages such as Python and Java, are essential. Additionally, you should have a solid understanding of ML Ops, data analysis, and mining using frameworks like Hadoop and Spark. Your ability to drive innovation, collaborate effectively, and adapt to an ever-evolving technological landscape will be crucial in this role. Strong problem-solving skills, excellent communication abilities, and a passion for staying abreast of the latest technological advancements are highly valued. In this dynamic and fast-paced environment, you will have the opportunity to contribute to the growth and success of Adobe while working alongside a diverse and inclusive team. If you are seeking a challenging yet rewarding opportunity to make a significant impact, Adobe is the place for you. Join us in creating exceptional digital experiences and pushing the boundaries of innovation. Explore the possibilities of a career at Adobe by updating your profile and applying for roles that align with your expertise and aspirations. Your journey towards professional growth and accomplishment starts here.,

You are a Data Scientist with a strong expertise in data analysis, machine learning, and visualization. Your proficiency lies in Python, Pandas, and Matplotlib, and you excel at building and optimizing data-driven models. If you have some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models, it would be considered a plus. Your responsibilities include analyzing and processing large datasets using Python and Pandas, developing and optimizing machine learning models for predictive analytics, creating data visualizations using Matplotlib and Seaborn to support decision-making, performing data cleaning, feature engineering, and statistical analysis, working with structured and unstructured data to extract meaningful insights, and implementing and fine-tuning NER models for specific use cases, if required. You will collaborate with cross-functional teams to drive data-driven solutions. To excel in this role, you should have proficiency in Python and data science libraries such as Pandas, NumPy, and Scikit-learn. Experience in data analysis, statistical modeling, and machine learning is essential. Hands-on expertise in data visualization using Matplotlib and Seaborn, along with an understanding of SQL and database querying, is required. Familiarity with NLP techniques and NER models will be an added advantage. Strong problem-solving and analytical skills are essential to succeed in this position.,

As a Data Scientist, you will be responsible for analyzing large and complex datasets to identify trends, patterns, and insights. Your main tasks will include developing and implementing machine learning models for prediction, classification, and clustering using Python libraries such as scikit-learn, TensorFlow, or PyTorch. Additionally, you will perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions. Your role will also involve designing and implementing data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to effectively communicate insights. Collaboration with cross-functional teams to understand business requirements and translate them into data science solutions is a key aspect of this position. You will also be responsible for building and deploying scalable data pipelines using Python and related tools. To excel in this role, you should have proven experience as a Data Scientist or in a similar role, ideally with 2+ years of experience. Strong programming skills in Python and familiarity with relevant data science libraries such as Pandas, NumPy, and Scikit-learn are essential. A solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques is required. Furthermore, experience in data visualization using Python libraries like Matplotlib, Seaborn, and Plotly is important. You should be adept at working with large datasets, performing data cleaning, preprocessing, and feature engineering. Strong problem-solving and analytical skills are also crucial for success in this role. Excellent communication and presentation abilities are necessary to effectively communicate complex data insights and findings to both technical and non-technical audiences. A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related area is preferred. Experience with big data technologies like Spark and Hadoop, familiarity with cloud platforms such as AWS, Azure, and GCP, and knowledge of deep learning frameworks like TensorFlow and PyTorch are all valuable assets. Additionally, experience with database technologies (SQL and NoSQL) and deploying machine learning models into production will be beneficial for this role. Stay updated with the latest advancements in data science, machine learning, and Python libraries to continuously enhance your skills and knowledge.,