4327 Data Science Jobs - Page 26

Develop & optimize VTON AI models using PyTorch/TensorFlow Work with GANs, pose estimation, segmentation Deploy models with CUDA, TensorRT, ONNX Integrate AI into production systems Bonus: Experience in fashion tech or try-on solutions Requirements: Strong Python skills & deep learning experience Computer vision & image processing expertise Hands-on with GPU acceleration tools Knowledge of FastAPI, Flask, or TensorFlow Serving for deployment Role & responsibilities

DISPLAY - KNOWLEDGE, EXPERIENCE Education qualification Bachelors degree in Engineering, Computer Science, Data Science, Information Systems, or a related field. Overall Experience* Fresher or Relevant manufacturing industry experience Mandatory Experience* 1.Understanding of statistical methods and basic analysis techniques. 2. Knowledge of data visualization tools 3. Basic understanding of data cleaning and preprocessing techniques. 4. Good problem-solving skills and attention to detail. 5. Strong communication skills, both verbal and written, to explain data findings clearly. 6. Eagerness to learn new data analysis techniques and tools. OBJECTIVE OF THE ROLE* To creatively execute designs and drawings of all jobs/projects in timely manner. ACCOUNTABILITIES OF THE ROLE Responsibility 1. Assist in collecting, cleaning, and organizing data from various sources. 2. Help in performing basic data analysis, identifying trends, patterns with outliers and give meaningful insight to management on the same. 3. Support in creating data visualizations and reports to communicate insights to the team. 4. Assist in preparing dashboards and presentations to present data findings. 6. Collaborate with team members and assist in gathering data requirements for projects. 7. Help in maintaining and updating data systems, ensuring data is properly structured for analysis. 8. Learn and apply data analysis tools and techniques as part of on-the-job training.

Job Title: Trainer AI/ML/Data Science (Data Focus) Job Location: Chennai (MEPZ – Tambaram) Experience: 4–5 Years Work Mode: Full-Time, Work from Office Job Description: We are seeking a passionate and experienced Trainer in AI/ML/Data Science with a strong focus on data engineering and big data technologies . The ideal candidate will have hands-on experience in delivering technical training and designing engaging learning content. Key Responsibilities: Deliver high-quality training sessions on AI, ML, and Data Science with emphasis on data engineering and big data tools. Design and develop training materials including presentations, labs, assessments, and case studies. Customize training programs based on audience profiles and industry needs. Conduct both classroom and virtual training sessions. Keep content updated with the latest industry trends and technologies. Evaluate learner performance and provide constructive feedback. Collaborate in curriculum development and training effectiveness reviews. Required Skills & Experience: 4–5 years of experience in AI/ML/Data Science with exposure to big data tools. Proficient in Python and libraries like NumPy, Pandas, scikit-learn. Hands-on experience with big data platforms: Hadoop, Spark, Hive, Kafka. Strong understanding of data pipelines, preprocessing, and feature engineering. Experience in training lifecycle: content creation, delivery, and assessment. Excellent communication and presentation skills. Ability to simplify complex concepts for diverse audiences. Preferred Qualifications: Bachelor’s/Master’s/PhD in Data Science, Computer Science, or related fields. Certifications in AI/ML/Data Engineering from reputed platforms. Prior experience in corporate or academic training. Familiarity with cloud platforms like AWS, GCP, or Azure.

An Opportunity to Work with One of India's Leading Credit Card Tech Innovators BOBCARD (A Bank of Baroda Subsidiary) Educational Qualifications: Bachelors/Masters degree in Computer Science, Data Engineering, Information Technology, or a related field . Experience Requirement: 5+ years Applicants should possess the following attributes: Technical Skills: Should have knowledge database design and development skills in Non- Relational Databases, SQL /. PL SQL, Oracle/MS SQL/MySQL Following GCP skillsets are necessary - BigQuery Storage, BigQuery ML, Cloud Data Fusion, Looker Studio Pro, Looker ML, DataStream Google Cloud platform especially Big Query Dataflow Experience with Java and Python and Google Cloud SDK API Scripting Experience in writing ETL/ELT Good Knowledge of Data modelling, Dimensional Modelling and Data Visualisation Proficient in SQL, Excel, Data Analytics, Data integration, Metadata Management Experience in Implementing complete project on GCP -AI / ML Experience Tableau / Power BI / Qlik Sense/ Looker Studio Use the full breadth of capabilities within Google Looker Studio to develop dashboards, Visual components, data Reports and analytical tools Proficiency in Oracle R, Python will be an added advantage Presenting complex data in visually appealing and insightful ways to aid story- telling and communication Strong knowledge of SDLC methodologies Agile/Scrum / Solid Principles Good understanding of Database Design Concepts Certification of Analytics with AI/ML would be an added advantage. Role & Responsibilities This position would include the mentioned set of responsibilities but not limited to: The candidate should be self-motivated, multi-tasker, and demonstrated team-player. Responsible for the managing the product development and maintenance in IT team of the organisation. Must have worked with large-scale applications and frameworks Learn and enhance own skillset and of team. Stay up to date to latest technology. Writing clean, high-quality, high-performance, maintainable code. Coordinate cross-functionally to ensure project meets business objectives and compliance standards Ensuring high performance of the application. Develop, test, and deploy fast and scalable system Designing and maintenance of fully functional applications and databases. Timely deployment of web apps on the cloud and on-prim/monolithic. Understanding of server management and cloud-based infrastructure. Establishment and integration of development tools as required Identification of application issues when deploying the apps App deployment on the cloud along with solving debugging issues Coding architecture for frontend and backend Building interactive consumer data Testing applications and fixing bugs, along with security and data protection features Solve Technical Challenges Cooperating with the back-end developer in the process of building the Cloud based Analytics platform Develop and support Analytics Platform Interested Professionals can also apply via our careers page: https://bobcard.turbohire.co/job/publicjobs/9IJ04bfVo3kTnyMKczuuhM3wpm81HcOhip9k0uecVaDF1y6XWQ9jRsFiuPYS7dQw

interested candidates share cv to dikshith.nalapatla@motivitylabs.com Total Experience: 5+ years Relevant:5+years Role: Python Developer with AI ML (Data Scientist) Skills: Python, FastAPI/Flask/Django anyone would be fine GenAI and LLM Experience is a must have, at least 2 projects PyTorch or Tensorflow, scikit-learn, pandas, numpy Cloud technologies - at least 1 out of AWS, GCP, Azure Database - SQL (MySQL, PostGres, SQL server any one would be fine), NoSQL Experience is a good to have Key Responsibilities: Python Web Development: Design, develop, and maintain Python-based web applications using Django or Flask frameworks. Ensure code is efficient, scalable, and maintainable. Cloud Integration: Integrate applications with cloud services, such as AWS, Azure, or Google Cloud, to leverage scalability and reliability. Deploy and manage applications on cloud infrastructure. Containerization: Utilize containerization technologies like Docker to package applications and ensure consistent deployment across different environments. Coding Best Practices: Follow coding best practices, maintain clean and well-documented code, and conduct code reviews to ensure code quality and adherence to coding standards. Software Development Principles: Apply software development principles such as SOLID, DRY (Don't Repeat Yourself), and KISS (Keep It Simple, Stupid) to create efficient and maintainable code. Database Integration: Work with various databases (SQL and NoSQL) to design and implement data models and efficient database queries. API Development: Create RESTful APIs using Django REST framework or similar tools to facilitate data exchange between front-end and back-end systems. Security: Implement security best practices, including authentication, authorization, and data encryption, to protect applications against security vulnerabilities. Performance Optimization: Identify and resolve performance bottlenecks in applications by profiling code and applying optimization techniques. Testing: Develop unit tests and integration tests to ensure the reliability and functionality of web applications. Documentation: Create and maintain technical documentation, including code comments, system architecture diagrams, and API documentation. Continuous Integration/Continuous Deployment (CICD): Set up CICD pipelines to automate build, testing, and deployment processes, ensuring rapid and reliable releases. Code Versioning: Use code versioning systems like Git for collaborative development and code management. Monitoring and Logging: Implement monitoring and logging solutions to track application performance and troubleshoot issues proactively. Good to have: Programming skills in leveraging data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn) to deliver actionable insights and data-driven solutions. Familiarity with big data technologies and cloud platforms is a plus. Familiarity with MLOps platforms like MLFlow. Thorough knowledge of database systems, SQL, and NoSQL databases. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's degree preferred). Extensive experience in Python web development with Django or Flask. Strong knowledge of cloud services (e.g., AWS, Azure, Google Cloud) and cloud deployment. Good Experience in AI ML interested candidates share cv to dikshith.nalapatla@motivitylabs.com Total Experience: Relevant Experience: Gen AI Experience: ML Experience: Current Role / Skillset: Current CTC: Fixed: Variables(if any): Bonus(if any): Payroll Company(Name): Client Company(Name): Expected CTC: Official Notice Period: Serving Notice (Yes / No): CTC of offer in hand: Last Working Day (in current organization): Location of the Offer in hand: Willing to work from office: ************* 5 DAYS WORK FROM OFFICE MANDATORY ****************

As a Senior Consultant at Dell Technologies in Bangalore, you will play a crucial role in helping organizations navigate their digital transformation journey. Your responsibilities will include providing technical guidance and solutions for complex engagements, collaborating with global teams to deliver innovative strategies, and deploying digital transformation software stacks. You will be a key member of the Services Delivery team, working alongside other experienced consultants to earn customer trust through your technical expertise and consulting skills. Your role will involve supporting customers in architecting Cloud-Native Apps, driving digital transformation within organizations, and implementing DevSecOps practices to enhance development processes. Additionally, you will evaluate new technology options, onboard automation solutions, and support Sales and Pre-Sales teams in solutioning for customers. Your extensive experience in various technical areas such as DevOps, Cloud Computing, AI & ML, and Data Science will be leveraged to lead large-scale digital transformation projects and guide technical teams effectively. To excel in this role, you should have at least 10 years of experience in the IT industry, with a background in computer science or engineering. Business consulting certifications and proven expertise in areas like Cloud Technologies, DevOps Engineering, and Application Modernization are essential. Experience with automation tools like Ansible, Terraform, and Kubernetes will be highly beneficial. If you are passionate about driving innovation, collaborating with diverse teams, and making a meaningful impact in the technology industry, this role at Dell Technologies could be the perfect opportunity for you. Join us in shaping a future where progress takes all of us. Application closing date: 18-Dec-2024 Dell Technologies is committed to promoting equal employment opportunities and creating a work environment free of discrimination and harassment. For more details, please refer to the full Equal Employment Opportunity Policy.,

Agoda is an online travel booking platform that offers a wide range of accommodations, flights, and more. With a global network of 4.7M hotels and holiday properties, as well as flights and activities, we aim to connect travelers worldwide. As part of Booking Holdings and based in Asia, our diverse team of 7,100+ employees from 95+ nationalities across 27 markets works collaboratively in an environment rich in creativity and diversity. Our purpose at Agoda is to bridge the world through travel. We believe that travel enhances people's lives by allowing them to enjoy, learn, and experience the world, bringing individuals and cultures closer together, fostering empathy, understanding, and happiness. As a Senior Manager, Analytics & Insights at Agoda, you will lead strategic and operational initiatives within the Supply department to drive growth and efficiency. Working closely with various stakeholders, including executive leadership and cross-functional teams, you will be responsible for exploring new business opportunities, analyzing scaling challenges, and improving existing operations. Key Responsibilities: - General: This role involves a combination of hands-on business work and executive-level contributions. You will lead a team, contribute to strategy, and drive results. - Project Delivery: Manage and standardize business cases for product development, resource allocation, budgeting, and strategic prioritization. - Experimentation: Define success metrics, validate experiments, and promote an experimental mindset within the teams. - Forecasting and Insights: Provide a macro-level business intelligence view to identify opportunities, overcome obstacles, and drive commercial behaviors. - Analytics & Alerts: Conduct quantitative analysis, data mining, and present business metrics to drive decision-making. - Process Improvement: Collaborate with teams to enhance efficiencies, optimize processes, and prioritize system enhancements. - Reporting: Develop dashboards, reports, and present key datasets for performance monitoring and prioritization. - Leadership: Lead a team of experts, mentor team members, and drive cross-functional collaboration. Requirements for Success: - 6+ years of leadership experience in analytics, data science, insights, or strategy. - Strong expertise in data analysis and visualization tools such as Excel, SQL, Tableau, Python, R, etc. - Experience in statistical modeling, machine learning, and deriving business insights. - Excellent communication skills and ability to engage with stakeholders at all levels. - Strong project management experience and ability to drive results independently. - Bachelor's degree in a quantitative or business-related field. - Experience in strategic issue articulation and negotiation with C-level executives. - People management skills with a track record of developing team members. Preferred Qualifications: - Master's degree in statistics, economics, or a related discipline. - Experience in A/B testing experimentation. - Background in travel industry, e-commerce, tech, or consulting. Agoda is an Equal Opportunity Employer. We keep applications on file for future vacancies and adhere to our privacy policy. Note that Agoda does not accept third-party resumes and is not responsible for any fees related to unsolicited resumes.,

As a Data & AI Manager at our organization, you will be responsible for driving AI and data strategies to ensure our company remains at the forefront of AI innovation. You will leverage your expertise in Generative AI, Natural Language Processing (NLP), and AI-driven document processing technologies to lead projects, work hands-on with AI frameworks and tools, and guide the adoption of AI best practices within the organization. In this role, you will play a key part in setting strategic AI goals, contributing to the development of best practices and frameworks for AI model development, deployment, and maintenance. You will champion the use of advanced AI/ML tools and platforms such as TensorFlow, PyTorch, Hugging Face, spaCy, and Transformers for NLP. Additionally, you will stay updated with the latest advancements in AI/ML, incorporating new technologies like Generative AI and Document Processing tools such as LayoutLM and Donut, while contributing innovative solutions to AI challenges. Furthermore, as a leader in this capacity, you will focus on team development by mentoring junior AI team members, sharing your expertise, and fostering a collaborative culture of innovation and excellence. You will collaborate with R&D, engineering, and business development teams to turn AI insights into actionable solutions, driving the development of AI-powered products and services. Effective communication of AI strategies and developments to functional heads and executive leadership will also be a critical aspect of your role, ensuring alignment and understanding across all levels of the organization. Our selection process for this role will include an Aspiration Alignment Discussion, Role Fitment Round, and HR Round for interaction and offer extension. Perennial Systems, our organization, is an Outsourced Product Development Organization specializing in solving complex problems of engineering and product teams using a process-driven approach. We work with various product-based companies across South East Asia, US & UK, and focus on building products with cutting-edge technologies for web, mobile, and cloud platforms. Additionally, we are the proud owner of GSTTHero, a product appointed by the Govt of India as a GST Suvidha Provider, enabling automations of GST compliances in India. At Perennial, we offer strong engineering teams, consulting exposure & product-driven mindset, learning culture, and a collaborative environment to support our team members in exploring and learning the upcoming market trends. We promote a learning culture with access to more than 8000+ courses, sponsor certifications, and arrange in-house and external tech MeetUps to enhance the growth of our people. Our teams work closely with other verticals to ensure a seamless and collaborative approach to client acquisition and retention.,

As the Financial Services (FSO) division of Ernst & Young, you will have the unique opportunity to be part of a professional services organization dedicated exclusively to the financial services marketplace. Joining our multi-disciplinary teams from around the world, you will play a crucial role in delivering a global perspective. Aligned with key industry groups such as asset management, banking and capital markets, insurance, and private equity, we offer integrated advisory, assurance, tax, and transaction services. Through diverse experiences, world-class learning opportunities, and individually tailored coaching, you will undergo continuous professional development. Our focus is on developing exceptional leaders who collaborate effectively to fulfill our commitments to all stakeholders, thereby contributing significantly to building a better working world for our people, clients, and communities. Excited to be a part of this journey This is just the beginning, as the exceptional EY experience will stay with you for a lifetime. As a future FSO Technology Consultant at EY, you will be part of a team that helps clients navigate complex industry challenges and leverage technology to enhance business operations. Your role will involve addressing business and strategic challenges such as business and solution architecture, digital transformation, project management, and design of digital operating models. Additionally, you will work on technical matters including data science, advanced analytics, IoT, data governance, blockchain, artificial intelligence, and robotic process automation. Joining our team means working on critical projects within the financial services landscape, with opportunities to transition between teams as both you and our dynamic business continue to grow and evolve. Your contributions will be instrumental in propelling EY to new heights. We are currently seeking individuals for the following positions: - Cybersecurity - Digital - Platform - Data & Analytics To qualify for a role in our team, you must have: - A Bachelor's or Master's Degree in (Business) Engineering, Computer Science, Information Systems Management, Mathematics, (applied) Economics, or a related field with an interest in cutting-edge technologies. - Strong analytical skills. - Knowledge of project management methodologies, including agile, traditional, and hybrid approaches. - Proficiency in English at an advanced level. - Experience in team leadership. - Exceptional oral and written communication abilities. If you believe you meet the above criteria, we encourage you to apply at your earliest convenience. The exceptional EY experience awaits you, ready for you to shape and build upon.,

As the Product Analytics Leader at StarRez, you will be responsible for overseeing the impact measurement of our software throughout the customer and user lifecycle. Your insights will play a crucial role in shaping the product strategy and roadmap, enhancing the customer experience, and optimizing overall business performance. This senior-level position requires a combination of technical and data expertise, strategic thinking, and leadership to deliver actionable insights that influence decision-making across the organization. Your key responsibilities will include: 1. **Leadership & Strategy:** Define and implement the product analytics strategy to align with product and business goals. Lead a team of analysts, providing mentorship and guidance to scale the team's impact. 2. **Data-Driven Insights:** Collaborate with product and executive teams to identify key questions and deliver insights that drive product roadmaps and enhance business operations. Analyze complex datasets to uncover trends and opportunities. 3. **Advanced Analytics & Experimentation:** Design and oversee A/B testing frameworks, apply advanced analytics techniques to inform strategic decisions. 4. **Stakeholder Collaboration and Communication:** Act as a trusted advisor to various teams within the organization, translate technical findings into actionable recommendations, and present findings in compelling ways. 5. **Data Infrastructure:** Collaborate with data engineering teams to ensure robust data pipelines and advocate for tools that improve data accessibility across the organization. 6. **Performance Monitoring:** Establish dashboards and reporting mechanisms to track product performance and user behavior. 7. **Tool Ambassador:** Run a Centre of Excellence for Pendo and leverage connections with other internal insights tools to guide business decisions effectively. **Required Qualifications:** - Experience: 6+ years in product analytics or data science, with at least 2 years in a leadership role. - Technical Skills: Advanced SQL skills, proficiency with visualization tools, experience with statistical programming languages. - Leadership Skills: Proven ability to lead high-performing teams, excellent stakeholder management skills. - Competencies: Strategic mindset, problem-solving skills, outstanding communication skills. - Education: Bachelor's or Master's degree in Data Science, Statistics, Business Analytics, or related field. Even if you do not meet all the Preferred Qualifications but believe you have the necessary skills to excel in this role, we encourage you to apply. Joining StarRez means being part of a workplace where you can belong, build, and grow. Our people-first culture, global impact, long-term vision, stability, and Z-Factor make us a unique and rewarding place to work. If you are enthusiastic about creating innovative products in a collaborative environment, StarRez India welcomes you. We are committed to fostering a diverse and inclusive workforce, welcoming individuals from all backgrounds to apply. Please note that external recruiters and recruitment agencies are advised to adhere to our recruitment policies.,

As a Machine Learning Engineer at our company, you will be responsible for developing and implementing various ML libraries and building data pipelines to address a range of challenges. Your role will require a deep understanding of Machine Learning principles, along with proficiency in utilizing available tools and libraries. Moreover, you should possess expert knowledge of Big Data technologies, with a particular focus on Python and/or Databricks. Additionally, your experience in natural language processing (NLP) will be highly valuable in this role. Ideal candidates will have a background as a software engineer or data scientist, demonstrating strong coding skills in Python and/or R. Familiarity with Linux and AWS is essential, while experience with Kubernetes would be considered a significant advantage. Furthermore, you should be able to showcase your ability to construct neural networking models for natural language applications. Proficiency in utilizing Jupyter notebooks for research and data analytics is also a key requirement for this position. Experience: 2 to 2+ Years Positions: 2 Location: Indore/Chennai, IN To apply for this position, please send your application to jobs@bitcot.com / hr@bitcot.com or contact us at (+91) 8103678419. Join us on this exciting journey of leveraging Machine Learning to drive innovation and solve complex problems.,

As a Lead Platform Engineer at our esteemed organization, you will play a pivotal role in designing and constructing cloud-based distributed systems that tackle intricate business dilemmas for some of the largest companies globally. Leveraging your profound expertise in software engineering, cloud engineering, and DevOps, you will be instrumental in crafting technology stacks and platform components that empower cross-functional AI Engineering teams to develop robust, observable, and scalable solutions. Being part of a diverse and globally dispersed engineering team, you will engage in the complete engineering lifecycle, encompassing the design, development, optimization, and deployment of solutions and infrastructure on a scale that caters to the needs of the world's leading corporations. Your core responsibilities will revolve around: - Crafting cloud solution and distributed systems architecture for full stack AI software and data solutions - Implementing, testing, and managing Infrastructure as Code (IAC) of cloud-based solutions, inclusive of CI/CD, data integrations, APIs, web and mobile apps, and AI solutions - Defining and executing scalable, observable, manageable, and self-healing cloud-based solutions across AWS, Google Cloud, and Azure - Collaborating with diverse teams, including product managers, data scientists, and fellow engineers, to define and implement analytics and AI features that align with business requirements and user needs - Harnessing Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability - Developing and maintaining APIs and microservices to expose analytics functionality to both internal and external consumers, adhering to best practices for API design and documentation - Implementing robust security protocols to safeguard sensitive data and uphold compliance with data privacy regulations and organizational policies - Continuously monitoring and troubleshooting application performance, identifying and resolving issues that impact system reliability, latency, and user experience - Participating in code reviews and contributing to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code - Staying abreast of emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identifying opportunities to enhance the capabilities of the analytics platform - Collaborating closely with and influencing business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across various sectors - Influencing, educating, and directly supporting the analytics application engineering capabilities of our clients To be successful in this role, you should possess: - A Master's degree in Computer Science, Engineering, or a related technical field - 6+ years of experience, with at least 3+ years at the Staff level or equivalent - Proven expertise as a cloud engineer and software engineer in either product engineering or professional services organizations - Experience in designing and delivering cloud-based distributed solutions, with GCP, AWS, or Azure certifications being advantageous - Deep familiarity with software development lifecycle nuances - Proficiency in one or more configuration management tools such as Ansible, Salt, Puppet, or Chef - Proficiency in one or more monitoring and analytics platforms like Grafana, Prometheus, Splunk, SumoLogic, NewRelic, DataDog, CloudWatch, Nagios/Icinga - Experience with CI/CD deployment pipelines (e.g., Github Actions, Jenkins, Travis CI, Gitlab CI, Circle CI) - Experience in building backend APIs, services, and/or integrations using Python - Practical experience with Kubernetes through services like GKE, EKS, or AKS is beneficial - Ability to collaborate effectively with internal and client teams and stakeholders - Proficiency in Git for versioning and collaboration - Exposure to LLMs, Prompt engineering, Langchain is a plus - Experience with workflow orchestration tools like dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other - Experience in the implementation of large-scale structured or unstructured databases, orchestration, and container technologies such as Docker or Kubernetes - Strong interpersonal and communication skills, enabling you to explain and discuss complex engineering technicalities with colleagues and clients from different disciplines at their level of cognition - Curiosity, proactivity, and critical thinking - Sound knowledge of computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and the implications of computer architecture on software performance - Strong understanding of designing API interfaces - Knowledge of data architecture, database schema design, and database scalability - Familiarity with Agile development methodologies At our organization, Bain & Company, a global consultancy dedicated to assisting the world's most ambitious change-makers in shaping the future, we operate across 65 cities in 40 countries. Collaborating closely with our clients, we work as one team with a shared objective of achieving exceptional results, outperforming competitors, and redefining industries. Our commitment to investing more than $1 billion in pro bono services over the next decade reflects our dedication to supporting organizations addressing pressing challenges in education, racial equity, social justice, economic development, and the environment. With a platinum rating from EcoVadis, a prominent platform for environmental, social, and ethical performance ratings for global supply chains, we stand in the top 1% of all companies. Since our inception in 1973, we have gauged our success by the success of our clients and proudly maintain the highest level of client advocacy in the industry.,

This position is at the intersection of technology, business processes, and business vision. As a Technology/Digital Transformation Specialist, you are tasked with the critical responsibility of guiding through the journey of modernizing and streamlining operations & offerings through digital technology. The role encompasses a variety of tasks, from assessing current technological infrastructures to proposing innovative solutions aligned with strategic business goals. It requires analytical prowess, technological fluency, and visionary thinking. This role is ideal for those passionate about driving change and excelling in environments requiring technical and interpersonal skills. Perform an assessment of technology/digital needs and develop strategies for leveraging emerging technologies to drive business growth and transformation. Define technology vision, roadmap, and provide recommendations on technology/digital transformation strategies. Manage technology tools, platforms, and processes for smooth workflows. Collaborate with various functions to implement successful digital transformation, manage dependencies, and ensure resource planning. Act as a technology evangelist to build awareness and understanding across internal teams. Lead a technology team to deliver significant business value through automation, creation of tools, and accelerators. Implement technology solutions to digitize services, support training, and drive service changes for better customer experience. Manage risk, opportunities, and dependencies across ongoing transformation programs. Provide leadership to technical resources in delivering on the transformation roadmap. Stay abreast of industry trends, leverage innovation management best practices, and build and maintain positive relationships with stakeholders. Required Skills And Qualifications: - Master's degree in data science, Machine Learning, Operational Research, Computer Science, Engineering, or related field. - 12-15 years" experience in software engineering and product management. - Proven track record of leading product, GenAI/ML projects from conception to deployment. - Experience in managing the product lifecycle, design patterns, standards, and best practices. - Strong leadership, communication, collaboration skills, and ability to thrive in ambiguous requirements. - Familiarity with DevOps practices, microservices architecture, and distributed systems. Why Join Us Join a collaborative and innovative team with opportunities for career growth and development. Work on cutting-edge technologies and challenging projects with a competitive compensation and benefits package. If you are passionate about driving innovation, leading engineering teams, and delivering high-quality solutions, we encourage you to apply for this exciting opportunity.,

As a Decision Scientist at Salesforce, you will be a vital part of the Product Adoption team within the Customer Success Scorecard team. Your primary responsibility will be to evolve product adoption strategies and measure the value that our products bring to our customers. The Data and Analytics (DnA) team at Salesforce is dedicated to providing trusted data, insights, and artificial intelligence to support smarter decision-making. As a Decision Scientist, you will work closely with various stakeholders, including Renewals, Offers, M&A, Product, and Account Success teams, to discover innovative best practices that enhance customer value and satisfaction. In this role, you will be responsible for generating product insights to accelerate business growth by acquiring and cleaning data, building data models, analyzing insights, and distributing them to business leaders. You will have an experimentation mindset and work on measuring user experience through an experimental approach. Furthermore, you will partner with Senior Leadership to understand business challenges, advise on strategic objectives, product direction, roadmaps, growth goals, and retention strategies. Building and maintaining relationships with senior stakeholders, such as Business Leaders, Product Managers, User Researchers, and Customer Success teams, will be a key aspect of your role. Collaboration with the data engineering team and product engineering team is crucial for measuring the success of products. You will identify internal and external collaborators to curate data assets and deliver relevant and actionable data insights and products. Additionally, you will contribute to expanding Salesforce's data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and improving team processes. To be successful in this role, you should have at least two years of experience in product analytics or data science, or a master's degree in data science, statistics, applied mathematics, analytics, or a related field. Proficiency in common analytical programming languages like Python or R, SQL, statistical methods, data model design, and storytelling through various formats like slides, charts, and dashboards (e.g., Tableau) is essential. A graduate degree in Statistics or an MBA from a top university is strongly preferred. You should also be adept at planning projects, coordinating resources across teams, and ensuring deadlines and quality expectations are met.,

You will play a crucial role in enhancing the Analytics capabilities for our businesses. Your responsibilities will include engaging with key stakeholders to comprehend Fidelity's sales, marketing, client services, and propositions context. You will collaborate with internal teams such as the data support team and technology team to develop new tools, capabilities, and solutions. Additionally, you will work closely with IS Operations to expedite the development and sharing of customized data sets. Maximizing the adoption of Cloud-Based Data Management Services will be a significant part of your role. This involves setting up sandbox analytics environments using platforms like Snowflake, AWS, Adobe, and Salesforce. You will also support data visualization and data science applications to enhance business operations. In terms of stakeholder management, you will work with key stakeholders to understand business problems and translate them into suitable analytics solutions. You are expected to facilitate smooth execution, delivery, and implementation of these solutions through effective engagement with stakeholders. Your role will also involve collaborating with the team to share knowledge and best practices, including coaching on deep learning and machine learning methodologies. Taking independent ownership of projects and initiatives within the team is crucial, demonstrating leadership and accountability. Furthermore, you will be responsible for developing and evaluating tools, methodologies, or infrastructure to address long-term business challenges. This may involve enhancing modelling software, methodologies, data requirements, and optimization environments to elevate the team's capabilities. To excel in this role, you should possess 5 to 8 years of overall experience in Analytics, with at least 4 years of experience in SQL, Python, open-source Machine Learning Libraries, and Deep Learning. Experience working in an AWS Environment, preferably using Snowflake, is preferred. Proficiency in analytics applications such as Python, SAS, SQL, and interpreting statistical results is necessary. Knowledge of SPARK, Hadoop, and Big Data Platforms will be advantageous.,

Are you seeking an exciting opportunity to join a dynamic and fast-paced team in a challenging area Join our team as a Quantitative Research Associate in the Asset & Wealth Management Risk Team. You will play a crucial role in developing and maintaining risk measurement methodologies, performing analytics calculations, and managing the Asset and Wealth Management Risk System (Newton). Your responsibilities will include contributing to the research and enhancement of risk methodologies for AWM Risk Analytics, collaborating with peers and stakeholders to identify opportunities for Data Science, assisting in continuous improvements of Machine Learning techniques, and designing scalable solutions using approved tools. Additionally, you will prepare model documentation for Model Risk Governance and Review, analyze new data sets, and ensure adherence to best practices in data model and architecture. The ideal candidate should have 2+ years of experience in quantitative analysis, data science, or a related field, possess strong technical skills, be detail-oriented, and have excellent communication abilities. A solid understanding of statistics, AI/ML techniques, and problem-solving skills is crucial. Knowledge of asset pricing, VaR backtesting, and programming languages like SQL, Python, and familiarity with ML tools like AWS Sagemaker and TensorFlow are preferred. A degree in Economics, Mathematics/Statistics, Engineering, Computer Science, or a related field is also preferred. Join us on a journey of innovation to introduce data-driven risk analytics solutions and transform our operations through machine learning techniques to enhance our system's value proposition.,

Genpact is a global professional services and solutions firm with a workforce of over 125,000 employees in more than 30 countries. Driven by curiosity, agility, and a commitment to creating value for clients, we serve leading enterprises worldwide, including Fortune Global 500 companies. Our purpose is the relentless pursuit of a world that works better for people, achieved through our deep business and industry expertise, digital operations services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Assistant Manager/Data Science Engineer to join the Membership, Digital Analytics & Data Science pillar of the Enterprise Analytics Team. As a Data Science Engineer, you will work under the guidance of an offshore Data Science Engineering Manager to maintain, optimize, and develop internal data science solutions. The ideal candidate will possess a strong foundation in data engineering, machine learning operations (MLOps), and DevOps practices, along with proficiency in cloud-based architectures (specifically AWS), ETL pipeline management, model deployment, and CI/CD automation. Responsibilities: - Collaborate with the offshore Data Science Engineering Manager using agile project management methods. - Develop and maintain ETL pipelines using PySpark and other tools within the AWS technology stack. - Identify and implement improvements in models, DNA & ETL code pipelines. - Execute DevOps practices, including CI/CD and version control using Git. - Provide recommendations for code optimization considering speed, resource utilization, and efficiency. - Work on feature development branches, review pull requests using Bitbucket, and deploy models through cloud-based strategies. - Utilize AWS services like SageMaker, EC2, S3, and Lambda for data engineering and model deployment. - Lead the execution of campaigns, ensuring support throughout the campaign lifecycle, from design to measurement and optimization. Qualifications: Minimum Qualifications / Skills: - BSc in Computer Science, Engineering, Statistics, Mathematics, or equivalent experience. Preferred Qualifications / Skills: - Proficiency in programming languages such as Python, PySpark, SQL, or Java. - Experience with machine learning models for retail use cases. - Strong skills in data mining analysis and machine learning algorithm implementation. - Familiarity with cluster-computing frameworks like Spark and Hadoop. - Knowledge of AWS services for data pipelines and model deployment. - Experience in DevOps tools, CI/CD pipelines, version control, and automation tools. - Ability to extract insights from complex datasets using data mining and statistics. If you meet the qualifications and are looking to join a dynamic team at Genpact, apply for the Assistant Manager/Data Science Engineer role today.,

The Associate Manager, Compliance Analytics supports the development and implementation of compliance analytics across the global compliance organization. You will be responsible for designing and developing analytical solutions, generating insights, and fostering a culture of ethics and integrity. Your role will involve transforming data from multiple systems, designing the analytics approach, and executing the analytics. Your responsibilities will include designing, developing, and maintaining analytics to provide business insights, enabling risk-intelligent decisions, informing compliance risk assessment processes, and supporting remediation activities. You will be involved in scoping, gathering requirements, developing analytics models, validating and testing models, and communicating results to stakeholders for analytics projects. Additionally, you will support the execution of analytics initiatives to enhance the Global Compliance program and provide actionable insights through data and analysis to achieve business objectives. Furthermore, you will contribute to the development of standardized analytics processes and frameworks, including documentation and validation of work. You will also be responsible for setting up sustainable analytics solutions, including data pipelines and automated refresh schedules as necessary. Collaboration with compliance officers, IT, and stakeholders to understand business objectives and provide reliable and accurate reports, insights, and analysis to inform decision-making is an essential aspect of this role. As part of your duties, you will lead a culture of continuous improvement by enhancing existing databases, data collection methods, statistical methods, technology, procedures, and training. You will partner with data custodians and process experts to ensure the quality of data and definitions to support the building of reliable data models and analysis. Additionally, coaching and developing junior team members will be a key component of this role. To qualify for this position, you should have 8+ years of relevant work experience in Python, Advanced SQL, R, Azure, Databricks, PySpark, and PowerBI. A strong knowledge and experience in advanced analytics tools and languages to analyze large data sets from multiple sources are required. A BTech in Computer Science, IT, MSc in Mathematics/Statistics, or equivalent courses from an accredited university is necessary. You should possess a strong understanding of algorithms, mathematical models, statistical techniques, data mining, and experience implementing statistical and machine learning models. Experience with analyzing accounting and other financial data, as well as demonstrating excellent ability to exercise discretion and maintain confidentiality, are essential. Knowledge and experience with data transformation and cleansing, data modeling, and database concepts are also preferred.,

As a Technical Product Manager at Micoworks, you will play a crucial role in leading the development of cutting-edge AI products. Your responsibilities will encompass the entire product lifecycle, from ideation and strategy to launch and growth. Collaborating closely with cross-functional teams, including engineers, data scientists, designers, and marketers, you will ensure that our AI products not only meet customer expectations but also align with our business objectives. To excel in this role, you should have over 10 years of proven experience as a product manager in a technology company, with a strong background in B2B product development and management. Your ability to develop and refine a compelling product vision and roadmap for AI-powered products, in line with company goals and market trends, will be critical. Additionally, conducting market research and customer analysis to identify opportunities for AI solutions will be part of your daily tasks. Working hand in hand with data scientists and engineers, you will define technical requirements and translate complex AI concepts into user-friendly product features. Prioritizing features based on customer feedback, market research, technical feasibility, and business value will be essential to drive product success. Managing the product development lifecycle from ideation to launch and beyond, tracking product performance metrics, and analyzing results to identify areas for improvement will also be key aspects of your role. Your strong understanding of artificial intelligence (AI) and machine learning (ML) concepts, coupled with experience in product strategy, user research, and market analysis, will set you up for success. Excellent analytical and problem-solving skills, along with effective communication, collaboration, and leadership abilities, are qualities that will help you thrive in this position. A deep passion for AI and its potential to revolutionize industries is a must. To qualify for this role, you should hold a Masters or Ph.D. in Statistics, Mathematics, Computer Science, Data Science, M.Tech, ME / MS in Computers, Statistics, or a Master of Business Administration. If you are ready to be part of a dynamic team dedicated to empowering brands and leveraging AI technology to drive innovation, join us in Bangalore and fill out the Google form: https://forms.gle/rmv76116hHzWnsg79.,

We are looking for a full-time AI Developer specializing in Generative AI and Large Language Models (LLMs) to join UpSolve Solutions. Your role will involve designing, developing, and deploying AI models, with a specific focus on GenAI and LLMs. Leveraging your expertise in machine learning, natural language processing, and data science, you will create innovative AI solutions that address business challenges and foster innovation. As the ideal candidate, you should possess a strong background in Generative AI and Large Language Models (LLMs), along with proficiency in machine learning algorithms, natural language processing, and predictive modeling. Your programming skills in languages such as Python will be crucial, as well as your familiarity with GCP, AWS, or Azure. Experience in large-scale data processing and model training will also be beneficial. Your problem-solving, critical thinking, and analytical skills will be put to the test as you work with complex datasets, perform data preprocessing, and optimize AI models. Furthermore, your ability to communicate technical concepts effectively to non-technical stakeholders will be essential in this client-facing role. A Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Artificial Intelligence, Data Science) is required for this position. Any experience with video and text analytics would be considered a plus. This is a full-time, permanent position with benefits including paid sick time, paid time off, and a yearly bonus. The work schedule is during the day shift, and the work location is in person. To apply, please ensure you meet the educational requirements and are able to work in New Delhi or its vicinity. Kindly provide details of your current CTC and any previous experience with LLM projects in your application.,

As the Director/Head of Data Engineering for India, you will be responsible for developing and maintaining the data strategy for Singapore implementation. Your primary goal will be to create a model implementation that can be replicated across wider PBWM Organisation for compliance in other jurisdictions. You will define and execute the data engineering strategy in alignment with business goals and technology roadmaps. Collaborating with the Chief Data Officer/Chief Operating Officer, you will understand the Critical Data Elements (CDE) and establish controls around them. Your role will involve designing data models, efficient data pipelines, ensuring data quality and integrity, collaborating with data science and analytics teams, and scaling data solutions. Additionally, you will oversee data security and compliance, continuously learn and implement the latest technologies, manage and train the data engineering team, and implement cloud migration for data with appropriate hydrations. Budgeting, resource allocation, implementing data products, ensuring data reconciliation, and upholding high standards and quality in data are also key aspects of this role. In this strategic and senior leadership position, you will oversee data strategy, data engineering, data infrastructure, and data management practices within Private Banking and Wealth Management. Your responsibilities will include managing and developing the data team, delivering outstanding customer-focused service, ensuring quality and quantity are equally prioritized, adhering to policies and procedures, and advocating Barclays values and principles. You will lead effective data management, compliance, and analytics to support business goals, enhance customer experiences, and improve operational efficiencies. Recruiting, training, and developing the data engineering team, fostering collaboration and innovation, providing strategic guidance, and defining KPIs aligned with PBWM goals will be part of your duties. Collaborating with executive leadership, you will ensure data initiatives support the bank's growth, profitability, and risk management. You will oversee budgeting for data-related initiatives, allocate resources efficiently, and track performance indicators for the data engineering team and infrastructure to drive continuous improvement. The purpose of your role is to build and maintain systems that collect, store, process, and analyze data to ensure accuracy, accessibility, and security. Your accountabilities will include building and maintaining data architectures pipelines, designing and implementing data warehouses and data lakes, developing processing and analysis algorithms, and collaborating with data scientists to deploy machine learning models. As a Director, you are expected to manage a business function, contribute to strategic initiatives, provide expert advice, manage resourcing and budgeting, ensure compliance, and monitor external environments. Demonstrating leadership behaviours such as listening, inspiring, aligning, and developing others, along with upholding Barclays Values and Mindset, will be key to excelling in this role.,

This role is for one of the Weekday's clients. As the AI Director, you will be responsible for leading strategic initiatives to integrate Generative AI into the organization's core processes and offerings. Your key responsibilities include developing and executing a forward-looking strategy, identifying opportunities for AI application, collaborating with the executive team, and overseeing AI system development and deployment. You will provide technical direction for the design, development, and implementation of Generative AI models and solutions, ensuring scalability, security, and high performance. Collaborating with data engineering and infrastructure teams, you will establish robust pipelines and systems for AI model training and deployment. Additionally, you will build, mentor, and manage high-performing AI research and engineering teams, fostering a culture of innovation and collaboration. As the AI Director, you will drive research initiatives in Generative AI, natural language processing, computer vision, and related fields. Keeping abreast of emerging AI technologies, you will build partnerships with academic institutions, research labs, and AI communities to ensure the adoption of relevant advancements to meet business needs. You will play a crucial role in translating complex AI concepts into actionable insights for non-technical stakeholders, leading conversations with clients, partners, and internal teams to showcase the potential of Generative AI solutions. Furthermore, you will develop and track KPIs to evaluate the impact of Generative AI initiatives on business outcomes and ensure ethical use of AI technologies and compliance with regulatory requirements. The ideal candidate for this position should have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields. A PhD is highly desirable. You should possess at least 10 years of experience in AI, data science, or technology leadership, with expertise in Generative AI technologies. Strong leadership experience in managing diverse technical teams and overseeing complex AI projects is essential. Technical expertise required for this role includes a deep understanding of Generative AI, proficiency in machine learning frameworks such as TensorFlow, PyTorch, or similar tools, strong programming skills in languages commonly used in AI/ML, and experience with cloud platforms and AI-specific infrastructures. Exceptional communication, collaboration, problem-solving abilities, and a strong understanding of AI ethics and governance principles are also necessary for success in this role.,

The ICT Academy of Kerala is looking for a qualified candidate to join their team as a Trainer. As a Trainer, you will play a crucial role in imparting ICT skills to the youths of Kerala and enhancing their employability opportunities in the industry. This is a full-time position based in Thiruvananthapuram, Kerala, India. **Education:** - M.Tech/ME in CSE/ECE/IT or MCA or M.Sc in Maths/Statistics/CS with Technology expertise in one or more of the following: - Full Stack Development (MEAN/MERN/.NET/Java) - Data Science/Machine Learning **Experience:** - 3+ years of Industry Experience or 5+ years of Training Experience **Location:** - Trivandrum/Koratty/Calicut As a successful candidate, you should possess the following qualifications and qualities: - Enthusiastic trainer who brings energy and commitment. - Proven ability to take initiative, work independently, and manage time effectively. - Strong oral and written communication skills to explain concepts clearly and provide effective student feedback. - Willingness to travel to locations as needed. If you meet the requirements and are passionate about making a difference in the field of ICT training, we would love to hear from you. Join us in our mission to empower the youth of Kerala with essential ICT skills and improve their chances in the industry. Apply now to be a part of our dynamic team at the ICT Academy of Kerala.,

We are looking for a highly skilled AI/ML Engineer with expertise in developing machine learning solutions, utilizing graph databases like Neo4j, and constructing scalable production systems. As our ideal candidate, you should have a strong passion for applying artificial intelligence, machine learning, and data science techniques to solve real-world problems. You should also possess experience in dealing with complex rules, logic, and reasoning systems. Your responsibilities will include designing, developing, and deploying machine learning models and algorithms for production environments, ensuring their scalability and robustness. You will be expected to utilize graph databases, particularly Neo4j, to model, query, and analyze data relationships in large-scale connected data systems. Building and optimizing ML pipelines to ensure they are production-ready and capable of handling real-time data volumes will be a crucial aspect of your role. In addition, you will develop rule-based systems and collaborate with data scientists, software engineers, and product teams to integrate ML solutions into existing products and platforms. Implementing algorithms for entity resolution, recommendation engines, fraud detection, or other graph-related tasks using graph-based ML techniques will also be part of your responsibilities. You will work with large datasets, perform exploratory data analysis, feature engineering, and model evaluation. Post-deployment, you will monitor, test, and iterate on ML models to ensure continuous improvement in model performance and adaptability. Furthermore, you will participate in architectural decisions to ensure the efficient use of graph databases and ML models, while staying up-to-date with the latest advancements in AI/ML research, particularly in graph-based machine learning, reasoning systems, and logical AI. Requirements: - Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. - 1+ years of experience in AI/ML engineering or a related field, with hands-on experience in building and deploying ML models in production environments and self-made projects using graph databases. - Proficiency in Neo4j or other graph databases, with a deep understanding of Cypher query language and graph theory concepts. - Strong programming skills in Python, Java, or Scala, along with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience with machine learning pipelines and tools like Airflow, Kubeflow, or MLflow for model tracking and deployment. - Hands-on experience with rule engines or logic programming systems (e.g., Drools, Prolog). - Experience with cloud platforms such as AWS, GCP, or Azure for ML deployments. - Familiarity with containerization and orchestration technologies like Docker and Kubernetes. - Experience working with large datasets, SQL/NoSQL databases, and handling data preprocessing at scale.,

The company is offering an industrial internship in the field of Artificial Intelligence and Machine Learning. You will have the opportunity to work on various courses including Machine Learning with Python, Data Science with Python, and Django with Python. This internship is suitable for individuals who are interested in gaining practical experience in the mentioned areas. As an intern, you will be required to work in-person during the day shift. The ideal candidate should have completed Higher Secondary (12th Pass) education. Prior experience of 1 year in Python and a total work experience of 1 year is preferred for this internship. The work location for this internship is in-person. If you are interested in this opportunity, please contact the employer at +91 7986360230 to discuss further details and application procedures.,