27517 Ml Jobs - Page 39

Job Summary: We are seeking a skilled and innovative AI Application Developer with a strong background in software development and practical experience in implementing AI-based solutions. The ideal candidate will have hands-on expertise in Natural Language Processing (NLP) , Computer Vision , or other machine learning technologies, and should be capable of designing and integrating AI models into production-level web or mobile applications. Key Responsibilities: Design, develop, and implement AI-driven applications using technologies such as NLP, Computer Vision, or predictive analytics. Collaborate with product managers, data scientists, and UI/UX teams to gather requirements and translate them into AI solutions. Integrate AI/ML models with frontend and backend systems (web/mobile). Optimize performance of AI models for scalability, speed, and efficiency. Maintain clear documentation of design decisions, code, and models. Stay up-to-date with emerging AI tools, frameworks, and industry trends. Conduct testing, validation, and tuning of AI models for real-world deployment. Support in debugging and enhancing existing AI-integrated applications. Required Qualifications & Experience: Education : Minimum B.E. / B.Tech / MCA in Computer Science, IT, or a related field. Experience : 3–5 years of experience in IT/Software Development. Minimum 2 years of hands-on experience in AI/ML technologies including NLP, Computer Vision, or similar domains. Strong experience integrating AI models into production environments (web or mobile apps). Technical Skills: Proficiency in programming languages: Python , Java , or C++ AI/ML Frameworks: TensorFlow , PyTorch , Keras , or OpenCV Experience with NLP libraries (e.g., SpaCy, NLTK, BERT) Experience with Computer Vision libraries (e.g., OpenCV, YOLO, Detectron2) Familiarity with RESTful APIs, cloud-based services (AWS, Azure, GCP) Knowledge of CI/CD pipelines , Git, and containerization (Docker) Job Type: Contractual / Temporary Contract length: 12 months Pay: ₹70,000.00 - ₹80,000.00 per month Benefits: Provident Fund Work Location: In person

Job Description: AI Driven Marketing Strategist Location: Noida, Uttar Pradesh, IND Our mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who get excited about learning. Bring your experiences, your perspectives, and your passion; it’s in our differences that we empower the way the world learns. About the Role: Ready to revolutionize marketing operations and deliver measurable business impact? Join Wiley as our AI-Driven Marketing Strategist and lead the transformation from traditional marketing to cutting-edge AI-powered strategies. What You'll Do: Lead the strategic transformation of marketing from basic practices to sophisticated AI-driven technologies Develop and execute comprehensive AI-driven marketing strategies to optimise lead generation, customer engagement, and drive revenue growth Implement AI-powered tools to enhance campaign performance Lead AI-based personalisation across content marketing, email campaigns, and paid media for maximum impact Analyse market trends and customer behaviour using advanced AI tools to deliver actionable insights that drive strategic decisions Manage and mentor marketing colleagues while collaborating with cross-functional teams to integrate AI solutions Monitor, evaluate and continuously optimize AI-driven marketing initiatives Transform our marketing into an AI-first powerhouse What We're Looking For: 10+ years marketing experience with 3+ years hands-on AI/ML integration Proven track record with AI-powered marketing tools Leadership experience driving digital transformation Results-oriented mindset with measurable business impact Why This Role Matters: You'll be the architect of our marketing future, building sophisticated AI-driven methodologies that deliver superior ROI while establishing Wiley India as a leader in AI-powered marketing. Ready to take the next step in your career? Apply today! About Wiley: Wiley is a trusted leader in research and learning, our pioneering solutions and services are paving the way for knowledge seekers as they work to solve the world's most important challenges. We are advocates of advancement, empowering knowledge-seekers to transform today's biggest obstacles into tomorrow's brightest opportunities. With over 200 years of experience in publishing, we continue to evolve knowledge seekers' steps into strides, illuminating their path forward to personal, educational, and professional success at every stage. Around the globe, we break down barriers for innovators, empowering them to advance discoveries in their fields, adapt their workforces, and shape minds. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. Wiley proactively displays target base pay range for United Kingdom, Canada and USA based roles. When applying, please attach your resume/CV to be considered. #LI-RB1

DESCRIPTION We are seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful, data backed business decisions. The successful candidate will possess strong fervor for analytics, performance evaluation, setting high standards, accuracy and staying ahead of a dynamic and fast-evolving business. You should have excellent communication skills to be able to work with business leaders and share succinct performance insights. Above all, you should be passionate about people, using AI tools and have deep understanding of Amazon performance evaluation principles. About the team Global Operations-Artificial Intelligence (GO-AI) is a part of Amazon Robotics (AR), an org, in Fulfillment Technologies & Robotics (FTR). GO-AI enables Computer Vision (CV) and ML based automation by delivering high quality data to improve AI and Machine Learning (ML) product lifecycle through ‘near real-time human-in-the-loop’ (NRT HITL) and offline annotations. BASIC QUALIFICATIONS Bachelor's degree or equivalent 3+ years of business analyst, data analyst or similar role experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience Demonstrated proficiency analyzing data, creating dashboard and business reports using SQL 3+ years of program management experience, leading projects involving multiple stakeholders Proven experience writing scripts using SQL, extracting and analyzing the data to provide precise reports to stakeholders Demonstrated ability to maintain high level of integrity and discretion to handle confidential information Demonstrated written and verbal communication skills and ability to influence without authority Proven ability to present complex information in a clear and concise manner to executives Experience defining requirements and using data and metrics to draw business insights and making business recommendations PREFERRED QUALIFICATIONS Advance SQL proficiency; write complex SQL statements and ability to manipulate a massive amount of data, working knowledge of Python, creating dashboards/on demand reports using Quicksight Experience using AI tools Experience creating scorecards or similar performance evaluation reports Familiar with defining configuration specifications and business analysis requirements Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: Airflow, LLMs, MLOps, Generative AI, Python Netskope is Looking for: About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's In It For You You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What You Will Be Doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required Skills And Experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Who we are: Irdeto is the world leader in digital platform cybersecurity, empowering businesses to innovate for a secure, connected future. Building on over 50 years of expertise in security, Irdeto’s services and solutions protect revenue, enable growth and fight cybercrime in video entertainment, video games, and connected industries including transport, health and infrastructure. Irdeto is the security partner dedicated to empowering a secure world where people can connect with confidence. With teams and offices around the world, Irdeto’s greatest asset is its people - our diversity is celebrated through an inclusive workplace, where everyone has an equal opportunity to drive innovation and contribute to Irdeto's success. The Role: As a Software Engineer you will be joining our Video Entertainment team and will play a pivotal role in developing and enhancing our Solutions and products. You'll work as part of a dynamic and cross-functional team to ensure the seamless delivery of high-quality Deliverables. You will work on the latest technologies in the streaming industry and Your expertise will contribute to the innovation and enhancement of our solutions, ensuring our global customers have the best possible experience. Your mission at Irdeto: Develop and maintain software applications and services for our OTT platform, ensuring high- performance, scalability, and reliability. Debug, troubleshoot, and resolve software defects and performance issues, ensuring a seamless user experience. Write clean, efficient, and maintainable code, following coding standards and software development processes. Stay up to date with industry trends and best practices and contribute to the continuous improvement of our software development processes. How you can add value to the team? Bachelor’s degree in computer science, Software Engineering, or a related field. 3+ years of experience in backend development with modern frameworks (Node.js, Go, Typescript, or Java preferred) Deep understanding of REST APIs, microservices, asynchronous processing, and scalable architectures Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes) Familiarity with AI/ML pipelines – either integrating ML models into backend or building services to serve AI functionality Hands-on experience with databases (SQL and NoSQL), caching, and pub/sub messaging systems (Kafka, RabbitMQ) Strong grasp of security, performance, and reliability considerations in streaming systems Excellent communication skills and a passion for collaborative problem-solving What you can expect from us: We invest in our talented employees and promote collaboration, creativity, and innovation while supporting health and well-being across our global workforce. In addition to competitive remuneration, we offer: A multicultural and international environment where diversity is celebrated Professional education opportunities and training programs Innovation sabbaticals Volunteer Day State-of-the-art office spaces Additional perks tailored to local offices (e.g., on-site gyms, fresh fruit, parking, yoga rooms, etc.) Equal Opportunity at Irdeto Irdeto is proud to be an equal opportunity employer. All decisions are based on qualifications and business needs, and we do not tolerate discrimination or harassment. We welcome applications from individuals with diverse abilities and provide accommodation during the hiring process upon request. If you’re excited about this role but don’t meet every qualification, we encourage you to apply. We believe diverse perspectives and experiences make our teams stronger. Welcome to Irdeto!

DESCRIPTION This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies & Robotics teams by enabling automation, which includes real-time & offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy. An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction. Key job responsibilities The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours’ time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair & sufficient lighting (2) workspace / work related data shouldn’t be accessed by anyone other than employee The candidate is expected to demonstrate: Willingness to work in Non-tech role for contract duration of 6 months Ability to audit image/video/text based Jobs Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention & focus on screen Willingness to work on incremental targets/goals on quality & productivity Fast Pace of implementation & consistent performance Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player Readiness to come to office for few days (when required, applicable for associates working from home) Willing to switch ON laptop camera while on virtual meetings. A day in the life Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon’s work policy. Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion. About the team Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching. BASIC QUALIFICATIONS Bachelor's degree PREFERRED QUALIFICATIONS Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We are seeking a highly analytical and technically skilled Data Analyst with hands-on experience in Machine Learning to join our team. The ideal candidate will be responsible for analyzing large datasets, generating actionable insights, and building ML models to drive business solutions and innovation. Key Responsibilities: Collect, clean, and analyze structured and unstructured data from multiple sources. Develop dashboards, visualizations, and reports to communicate trends and insights to stakeholders. Identify business challenges and apply machine learning algorithms to solve them. Build, evaluate, and deploy predictive and classification models using tools like Python, R, Scikit-learn, TensorFlow, etc. Collaborate with cross-functional teams including product, marketing, and engineering to implement data-driven strategies. Optimize models for performance, accuracy, and scalability. Automate data processing and reporting workflows using scripting and cloud-based tools. Stay updated with the latest industry trends in data analytics and machine learning. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field . 2+ years of experience in data analytics and machine learning. Strong proficiency in SQL , Python (Pandas, NumPy, Scikit-learn), and data visualization tools like Tableau, Power BI , or Matplotlib/Seaborn . Experience with machine learning techniques such as regression, classification, clustering, NLP, and recommendation systems. Solid understanding of statistics, probability, and data mining concepts. Familiarity with cloud platforms like AWS, GCP, or Azure is a plus. Excellent problem-solving and communication skills. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Ability to commute/relocate: Kalighat, Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Preferred) Language: English (Preferred) Work Location: In person

The Computer Vision Consultant will play a pivotal role in developing and optimizing algorithms for image processing and machine learning applications. This role demands a strong background in programming, image processing techniques, and deep learning methodologies. The ideal candidate will have a demonstrated track record of utilizing various tools and libraries to enhance computer vision projects. Main Responsibilities: As a Computer Vision Consultant, your core duties will include: Developing and deploying computer vision algorithms using Python. Implementing graphical user interfaces with PyQT. Utilizing CUDA and GPUs for advanced algorithm training. Conducting image processing tasks including edge detection and camera calibration. Applying deep learning frameworks for object detection and segmentation. Key Requirements: 3 to 5 years of experience in Python programming. Proficient in OOPS concepts and threading. Hands-on experience with Numpy, Scipy, and OpenCV libraries. Familiarity with 2D/3D LIDAR data analysis. Experience with ML libraries such as TensorFlow, PyTorch, and Keras. Knowledge of object detection methods (YOLO, SSD, FRCNN, RCNN). Well-versed in semantic segmentation algorithms. Nice to Have: Experience with image transformation and stitching techniques. Other Details: This position is available for remote work and is expected to be a long-term engagement in the field of computer vision consulting, engaging with a diverse range of projects in various industries.

DESCRIPTION This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies & Robotics teams by enabling automation, which includes real-time & offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy. An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction. Key job responsibilities The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours’ time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair & sufficient lighting (2) workspace / work related data shouldn’t be accessed by anyone other than employee The candidate is expected to demonstrate: Willingness to work in Non-tech role for contract duration of 6 months Ability to audit image/video/text based Jobs Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention & focus on screen Willingness to work on incremental targets/goals on quality & productivity Fast Pace of implementation & consistent performance Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player Readiness to come to office for few days (when required, applicable for associates working from home) Willing to switch ON laptop camera while on virtual meetings. A day in the life Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon’s work policy. Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion. About the team Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching. BASIC QUALIFICATIONS Bachelor's degree PREFERRED QUALIFICATIONS Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turn key AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position : ML Engineer Experience : 6-8 years Location : Pune/Indore office Work Mode : Onsite Notice Period : Immediate Joiner – 15 days Job Summary We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. 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 LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications Bachelor’s or Master’s 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. Skills: panda,mlflow,large language models,python,mlops,pytorch,pandas,scikit-learn.,tensorflow,pyspark,scikit-learn,numpy,llms,mlfow,machine learning

Job Summary We’re looking for a Lead Full Stack Engineer (MERN) to drive the development of scalable web applications and lead projects involving AI/ML integration. You’ll architect solutions, mentor developers, and collaborate across teams to deliver high-impact products. This role combines hands-on coding with leadership in both traditional and emerging tech domains. Roles & Responsibilities Lead the development of scalable, high-performance web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). Architect robust system designs and ensure optimal application performance. Guide and mentor junior developers; conduct regular code reviews to maintain code quality. Integrate third-party APIs and services seamlessly into applications. Collaborate closely with cross-functional teams including DevOps, Design, and QA. Participate in project planning, effort estimation, and client interactions. Contribute to projects involving AI/ML integration and data-driven features. Preferred: Experience with Python for scripting, automation, or AI/ML-related tasks. Required Skills & Tools: · Strong expertise in MongoDB, Express, React, Node.js · State management with Redux, Context API · TypeScript experience is a plus. · CI/CD tools: Jenkins, GitHub Actions, Docker · Unit testing tools: Jest, Mocha, Chai · Cloud services: AWS, GCP, or Azure · Familiar with Agile/Scrum methodology · Proficient with Git, JIRA, Postman, Swagger NEED 5+ YRS OF EXP Bachelor’s degree in Computer Science, Engineering, or related field required. Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,500,000.00 per year Work Location: In person

Job Summary: We are seeking a Junior Faculty and Researcher - Data Science to support our ongoing research and consulting projects in AI, Data Science, and related fields. This is an excellent opportunity for recent graduates or early-career professionals who want to build a strong foundation in applied research and data-driven development. Key Responsibilities: Primary role is broken down in following 3 activities: Consulting: 30-40% Academics: 40-60% Research: 10-20% As a Consultant (30% - 40%), you'll collaborate with business groups, managing and mentoring data scientists to create cutting-edge data-driven systems. Your role involves constructing advanced analytics solutions, including prediction and recommendation systems, knowledge mining, and business automation. Effective communication of analytical results to various business disciplines is crucial. As a Researcher (10% - 20%), you'll identify problems for the betterment of society, leading Data Scientists in broad research directions using AI/ML. Constructing primary data collection strategies aligning with fields such as Business Application of AI, Environment, Public Good, Economics of Data Science and AI, Ethics, and Law in AI and Data Science. As an Academician (40%-60%), you'll teach structured classes, contribute to cutting-edge academic curriculum development, and play a central role in academic operations and learning activities. Qualities We Value: We seek candidates with a strong intuition for data, Data Science fundamentals, and an ability to engage with the external ecosystem. Problem-solving skills, adaptability, self-learning ability, and innovative thinking are essential. Excellent analytical skills, creativity, proactiveness, and effective communication are highly valued. You should be highly driven, flexible, resourceful, and a team player with strong influencing skills. Must-Have Requirements: Education in Data Science, Machine Learning, and Artificial Intelligence (degree or certification). Minimum education: Bachelor’s degree in STEM. Preferred Education: Master’s degree. Applied Data Science experience: 1 to 3 years. Hands-on experience in creating analytics solutions, including EDA and dashboarding. Experience in building data analytics models using various technologies and/or frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML). Good-to-Have Requirements: Understanding of Computer Vision and Natural Language Processing techniques. Experience in Public Speaking/Teaching/Coaching in Data Science/Technology. Project Management Experience. Recommendation System Experience. Knowledge of Reinforcement Learning System Design. Job Type: Full-time Pay: ₹240,000.00 - ₹420,000.00 per year Benefits: Paid sick time Paid time off Ability to commute/relocate: Vijay Nagar, Indore, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Data science: 1 year (Required) Language: English (Required) Hindi (Required) Work Location: In person

Location: Mumbai Number of Positions : 2 The Role We’re looking for two sharp, execution-focused Enterprise Business Solutions professionals to drive SaaS sales and manage strategic client growth across banks, NBFCs, funds and fintechs for our AI innovation lab. As an Enterprise Business Solutions professional, you will own and grow relationships with key enterprise clients, lead large-scale solution sales, and drive strategic partnerships across BFSI and enterprise verticals. You’ll serve as the primary commercial point of contact for large accounts—collaborating across product, customer success, and leadership to deliver tailored SaaS solutions that meet complex business needs. This is a hands-on, cross-functional role — ideal for someone who understands the long sales cycles of enterprise technology, has a knack for uncovering client pain points, and thrives in a fast-moving, tech-driven environment. You’ll act as a growth catalyst, seizing new opportunities and helping shape the market trajectory of our platform. Key Responsibilities A. Enterprise Client Ownership: Own the full enterprise sales cycle – from lead generation and qualification to closure and onboarding. Customize pricing, contract terms, and implementation models in coordination with legal and finance teams. B. Strategic Account Management : Manage and grow portfolio of enterprise customers (Banks, NBFCs, Insurance, Large Corporate). Build strong relationships with senior stakeholders across BFSI (Credit, Risk, Compliance, CTO/COO teams). C. Solution Design & Customization Identify client pain points, industry gaps, and regulatory considerations. Share actionable insights with product and strategy teams. Translate complex client needs into actionable product roadmaps in collaboration with product and tech teams. Feed customer insight back into product/prioritization to influence roadmap and delivery. D. GTM Strategy Support GTM efforts including demos, proposals, proof-of-concepts, and co-innovation pilots Forecast growth potential and identity cross-sell opportunities, with the goal to increase product adoption, wallet share and retention E. Commercial Structuring & Negotiation Lead commercial negotiations, pricing structures, and long-term partnership models Performance Reporting Track sales pipeline and performance metrics; report directly to leadership team Regulatory & Market Awareness Maintain a clear understanding of regulatory (RBI, SEBI, MCA), operational, and technology shifts affecting lending/compliance in the BFSI landscape What We're Looking For We’re hiring for two roles in SaaS/enterprise strategic sales leadership: 15+ years of experience (CXO relationships, GTM strategy) 8–12 years of experience (Account ownership, client solutioning, deal execution) Proven track record of selling SaaS solutions to enterprise clients , with experience managing high-value deals (ARR > $500k). Prior experience in the Fintech or BFSI domain is highly desirable - especially with co-lending, digital lending platforms, regtech/compliance automation tools or credit evaluation workflows Experience working in cross-functional environments (product, legal, implementation) to deliver tailored enterprise solutions Exposure to AI/ML-driven product environments Skills & Attributes Strong business acumen with a deep understanding of financial products, enterprise processes, and regulatory considerations Executive presence and the ability to influence and engage senior stakeholders (CXOs, Directors, Procurement Heads) Expertise in managing long and complex sales cycles , including RFPs, legal negotiations, and implementation planning Excellent verbal and written communication , stakeholder management, and commercial negotiation skills Highly analytical and KPI-driven , with the ability to derive insights from CRM tools, revenue reports, and pipeline data Proactive, self-motivated, and comfortable operating in fast-changing environments

Job Summary We are hiring a skilled Python Full Stack Developer with 3+ years of backend development experience. The ideal candidate should be proficient in Python frameworks (FastAPI, Django, Flask, etc.) , API development, and cloud-based deployments. This is an onsite position in Gandhinagar, Gujarat . Key Responsibilities Develop and maintain backend systems using Python Build scalable and secure APIs using frameworks like FastAPI, Django, Flask, or Bottle Write clean, modular, and testable code Work with cross-functional teams to define and deliver new features Use Git for version control and Jira for task tracking Deploy applications on AWS, Azure, or GCP Use Docker, Kubernetes, and Helm for containerization and orchestration Follow SDLC best practices, including code reviews and CI/CD pipelines Required Skills 3+ years of backend development experience with Python 3 Experience with Python frameworks: FastAPI, Django, Flask, Bottle Strong understanding of OOP, multithreading, and data structures Hands-on experience building REST APIs Experience with SQL databases and cloud services (AWS/Azure/GCP) Familiarity with Git , Agile methodologies , and Jira Knowledge of Docker, Kubernetes, and Helm is a plus Preferred Qualifications Bachelor’s degree in Engineering, Computer Science, or related field Strong problem-solving and debugging skills Ability to work independently and as part of a team Excellent communication skills Benefits Competitive salary based on experience Work on innovative and real-world AI/ML projects Supportive and growth-oriented work environment Career development opportunities Job Type: Full-time Pay: ₹400,000.00 - ₹700,000.00 per year Benefits: Flexible schedule Paid sick time Location Type: In-person Schedule: Day shift Monday to Friday Application Question(s): What is your current notice period, and when would you be available to join if selected? Experience: Relevant : 2 years (Required) Work Location: In person Speak with the employer +91 8154916103

Position: ML Engineer Experience: 6-8 years Location: Pune/Indore Work Mode: Onsite 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 LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications: Bachelor’s or Master’s 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. Job Type: Full-time Pay: ₹2,200,000.00 per year Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 5 years (Required) MLFlow: 5 years (Required) LLM: 5 years (Required) Work Location: In person

Position Title Software Engineer I Function/Group Digital & Technology Location Mumbai Shift Timing Regular 10 AM – 7 PM Role Reports to Manager Remote/Hybrid/in-Office Hybrid About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. Job Overview Function Overview The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the following Link Purpose of the role Technology at General Mills accelerates process transformation and business growth around the globe. Our Global Business Solutions team uses leading edge technology, innovative thinking and agile processes. This role demands that the individual must be master of the language grammar, and be very familiar with how to structure, design, implementation, and testing of the project based on one or more languages. In this role developer would be working along with the global teams in developing business solutions. Individual should be expert in multiple technology stacks, hands-on, design and write scalable applications. Individual should be able to work independently on large projects. Individual should be able to grow and inspire the team's technical skills and keep up with the technological paradigm shift Key Accountabilities Develop and maintain applications & taking ownership of complex technical designs and leading their implementation. Taking ownership of critical production issues and driving their resolution within specified SLAs. This requires strong problem-solving skills and the ability to work under pressure. Collaborate with a cross-functional team to implement a new software feature. Leading and driving technical initiatives within the team or organization, such as adopting new technologies or improving development processes. Driving continuous improvement within the team and seeking opportunities for innovation. Championing code quality and ensuring adherence to coding standards and best practices within the team. This may involve establishing coding guidelines and conducting code reviews. Taking full ownership of the technical solutions delivered, ensuring their quality, performance, and maintainability. Time Allocation – 10 % Collaboration on software design and architecture, working with cross-functional teams, learning and working on POCs for trending technologies, and participating in product/tool evaluations. Time Allocation – 75 % Translating application storyboards into functional applications, ensuring code quality and adherence to standards, writing unit and integration tests, developing automation tools, ensuring application performance and responsiveness, troubleshooting and debugging applications, leveraging DevOps tools for CI/CD, building working relationships, and mentoring less experienced team members. Time Allocation – 15 % Staying aware of organizational strategy, early adoption of trending technologies, proactive communication, challenging ideas to avoid pitfalls, and leading/participating in knowledge-sharing initiatives Minimum Qualifications Education – Full time graduation from an accredited university (Mandatory- Note: This is the minimum education criteria which cannot be altered) Technical Expertise: Proficiency in C#/VB, ASP.NET, ASP.NET MVC, RESTful APIs, JavaScript frameworks (React/Angular/Next), DevOps practices (GitHub Actions), database systems (MSSQL or NoSQL), SSIS and unit testing frameworks. Soft Skills - Strong communication skills with ability to communicate complex technical concepts with stakeholders and provide strategic decisions. Agile/Digital Experience: Strong understanding of Agile methodologies and experience with task/sprint estimation. Mindset & Behaviors: Enthusiasm for emerging technologies and a willingness to learn new ideas & ability to create a positive and supportive work environment. Preferred Qualifications Education – Full time graduation from an accredited university in computer science. Technical Expertise: Experience with other technologies like cloud technologies (GCP/Azure), .NET Blazor, GitHub, GitHub Actions & CoPilot, Containers, Python, NextJS and Tableau is beneficial.

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: Airflow, LLMs, MLOps, Generative AI, Python Netskope is Looking for: About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's In It For You You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What You Will Be Doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required Skills And Experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: Airflow, LLMs, MLOps, Generative AI, Python Netskope is Looking for: About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's In It For You You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What You Will Be Doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required Skills And Experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: Airflow, LLMs, MLOps, Generative AI, Python Netskope is Looking for: About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's In It For You You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What You Will Be Doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required Skills And Experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Company Description Buffercode is a technology-focused company that specializes in new and emerging technologies such as AI & ML, cloud computing, and information security. Our team acts as advisors, engineers, and designers, providing innovative solutions to help organizations upgrade themselves in various aspects, including security and data analytics. Role Description This is a full-time on-site role for an Intern- BCOM Graduate at Buffercode located in Noida. The Intern will be involved in day-to-day tasks related to assisting the team in risk management, cash flow management, audit, prepare balance sheet & P & L, etc. Qualifications Strong analytical and problem-solving skills Ability to work collaboratively in a team environment Excellent communication and interpersonal skills Attention to detail and ability to learn quickly Bachelor's degree in BCOM. Good in Excel.

We are looking for a visionary UX Design Architect to lead the creation and evolution of user experience strategies across complex, high-impact digital ecosystems. In this strategic leadership role, you will operate beyond day-to-day design execution, focusing instead on systemic thinking, enterprise design governance, and experience orchestration . This role is ideal for an experienced design leader who not only excels in user-centered design methodologies but also has a proven track record of shaping enterprise-level design systems, setting UX standards, and influencing product direction across diverse domains. Prior experience in the Oil & Gas industry will be an advantage. Key Responsibilities 🔹 Strategic Design Leadership · Define the UX architecture vision and roadmap in alignment with organizational strategy, product roadmaps, and brand objectives. · Drive enterprise-wide UX design frameworks , ensuring design consistency, scalability, accessibility, and performance across all user-facing products. · Serve as the UX thought leader , helping shape product strategy through research-backed insights, trend analysis, and human-centered design approaches. 🔹 Design Systems & Standards · Architect and maintain design systems and component libraries that support cross-platform consistency and development efficiency. · Lead design governance, standardization, and auditing mechanisms to ensure adherence to UX best practices across teams and geographies. 🔹 Enterprise Collaboration · Collaborate closely with CXOs, Product Owners, Engineering Architects, and Business Analysts to bridge business needs with user expectations. · Act as the design authority in cross-functional teams , ensuring that UX considerations are embedded in technical and business decision-making. 🔹 UX Maturity & Mentorship · Champion UX maturity across the organization, influencing processes, KPIs, and design-thinking culture at scale. · Mentor, guide, and review the work of senior and principal UX designers , fostering an environment of learning, excellence, and innovation. 🔹 Research and Innovation · Oversee or commission advanced UX research initiatives , market studies, and user journey analytics to drive product direction. · Stay ahead of emerging technologies (AI/ML, voice UX, immersive tech) and identify opportunities for innovation within design practice. Required Skills & Experience · 12+ years of experience in UX design, with at least 4+ years in a strategic or architect-level role . Prior experience in the Oil & Gas industry will be an advantage. · Proven expertise in crafting and implementing UX strategies and design systems across multiple business domains and product portfolios. · Mastery of tools like Figma, Adobe XD, and Sketch, with hands-on knowledge of design systems management and collaboration platforms. · Deep understanding of: o Strategic UX architecture & scalable design systems o Enterprise UX frameworks & governance o Human-centred design methodologies o Cross-platform design consistency (mobile, desktop, tablet, responsive web) o Data-informed UX (research synthesis, usability analytics, accessibility compliance) · Strong leadership presence with the ability to influence C-suite stakeholders and product leadership. · Exceptional communication, facilitation, and change management capabilities.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Assistant Director – AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are looking for a Assistant Director - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product & Retail; Healthcare & wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your Key Responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Mistral, etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Claude, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information. Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. Skills And Attributes For Success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 12 – 16 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 6 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Minimum of 6-9 years of programming in Python Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Summary Position Summary Job title: Azure Cloud Security Engineer (Senior Consultant) About At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk Management field. We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Deloitte’s clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. Our Risk and Financial Advisory services professionals help organizations effectively navigate business risks and opportunities—from strategic, reputation, and financial risks to operational, cyber, and regulatory risks—to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries. We use cutting-edge technology like AI/ML techniques, analytics, and RPA to solve Deloitte’s clients ‘most complex issues. Working in Risk and Financial Advisory at Deloitte US-India offices has the power to redefine your ambitions. The Team Cyber & Strategic Risk We help organizations create a cyber-minded culture, reimagine risk to uncover strategic opportunities, and become faster, more innovative, and more resilient in the face of ever-changing threats. We provide intelligence and acuity that dynamically reframes risk, transcending a manual, reactive paradigm. The cyber risk services—Identity & access management (IAM) practice helps organizations in designing, developing, and implementing industry-leading IAM solutions to protect their information and confidential data, as well as help them build their businesses and supporting technologies to be more secure, vigilant, and resilient. The IAM team delivers service to clients through following key areas: User provisioning Access certification Access management and federation Entitlements management Work you’ll do As a Cloud Security Engineer, you will be at the front lines with our clients supporting them with their Cloud Cyber Risk needs: Executing on cloud security engagements across the lifecycle – assessment, strategy, design, implementation, and operations. Performing technical health checks for cloud platforms/environments prior to broader deployments. Assisting in the selection and tailoring of approaches, methods and tools to support cloud adoption, including for migration of existing workloads to a cloud vendor. Designing and developing cloud-specific security policies, standards and procedures. e.g., user account management (SSO, SAML), password/key management, tenant management, firewall management, virtual network access controls, VPN/SSL/IPSec, security incident and event management (SIEM), data protection (DLP, encryption). Documenting all technical issues, analysis, client communication, and resolution. Supporting proof of concept and production deployments of cloud technologies. Assisting clients with transitions to cloud via tenant setup, log processing setup, policy configuration, agent deployment, and reporting. Operating across both technical and management leadership capacities. Providing internal technical training to Advisory personnel as needed. Performing cloud orchestration and automation (Continuous Integration and Continuous Delivery (CI/CD)) in single and multi-tenant environments using tools like Terraform, Ansible, Puppet, Chef, Salt etc. Experience with multiple security technologies like CSPM, CWPP, WAF, CASB, IAM, SIEM, etc. Required Skills 4+ years of information technology and/or information security operations experience. Ideally 2+ years of working with different Cloud platforms (SaaS, PaaS, and IaaS) and environments (Public, Private, Hybrid). Familiarity with the following will be considered a plus: Solid understanding of enterprise-level directory and system configuration services (Active Directory, SCCM, LDAP, Exchange, SharePoint, M365) and how these integrate with cloud platforms Solid understanding of cloud security industry standards such as Cloud Security Alliance (CSA), ISO/IEC 27017 and NIST CSF and how they help in compliance for cloud providers and cloud customers Hands-on technical experience implementing security solutions for Microsoft Azure Knowledge of cloud orchestration and automation (Continuous Integration and Continuous Delivery (CI/CD)) in single and multi-tenant environments using tools like Terraform, Ansible, Puppet, Chef, Salt etc. Knowledge of cloud access security broker (CASB) and cloud workload protection platform (CWPP) technologies Solid understanding of OSI Model and TCP/IP protocol suite and network segmentation principles and how these can be applied on cloud platforms Preferred: Previous Consulting or Big 4 experience. Hands-on experience with Azure, plus any CASB or CWPP product or service. Understanding of Infrastructure-as-Code, and ability to create scripts using Terraform, ARM, Ansible etc. Knowledge of scripting languages (PowerShell, JSON, .NET, Python, Javascript etc.) Qualification Bachelor’s Degree required.Ideally in Computer Science, Cyber Security, Information Security, Engineering, Information Technology. How You’ll Grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India . Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. Deloitte is committed to achieving diversity within its workforce, and encourages all qualified applicants to apply, irrespective of gender, age, sexual orientation, disability, culture, religious and ethnic background. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with Deloitte’s clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Recruiting tips Finding the right job and preparing for the recruitment process can be tricky. Check out tips from our Deloitte recruiting professionals to set yourself up for success. Check out recruiting tips from Deloitte recruiters . Benefits We believe that to be an undisputed leader in professional services, we should equip you with the resources that can make a positive impact on your well-being journey. Our vision is to create a leadership culture focused on the development and well-being of our people. Here are some of our benefits and programs to support you and your family’s well-being needs. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you . Our people and culture Our people and our culture make Deloitte a place where leaders thrive. Get an inside look at the rich diversity of background, education, and experiences of our people. What impact will you make? Check out our professionals’ career journeys and be inspired by their stories. Professional development You want to make an impact. And we want you to make it. We can help you do that by providing you the culture, training, resources, and opportunities to help you grow and succeed as a professional. Learn more about our commitment to developing our people . © 2023. See Terms of Use for more information. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee ("DTTL"), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as "Deloitte Global") does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the "Deloitte" name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 306470

We at Passageway Tech Pvt. Ltd. are looking to hire Data Scientists for a long-term project with one of India’s largest energy tech companies . Location: Jaipur Work Mode: Hybrid – 4 days/week at client site, 1 day at Passageway office Role: Data Scientist (Multiple openings) Experience: at least 2 years Education: BTECH from IIT Must-Have Skills: Python, Pandas, NumPy, SQL Data wrangling, EDA, ML model building (classification/regression) Experience working with large datasets Good understanding of ML lifecycle Good to Have: Time-series analysis, anomaly detection Experience in utilities/IoT/manufacturing domain Power BI or data visualization experience We’re building a high-performing team to deliver real-time analytics, predictive modeling, and optimization use cases in the utilities space. Interested candidates can share their profiles at roop.s@pssgway.com. Thanks & Regards, Roop Passageway Tech Pvt. Ltd.

Position - Senior EPPS Consultant Location - Remote - Pune/Nagpur Duration - Full time Office hours: US EST Referred EPPS as : Enterprise Performance Prediction and Planning Software or Enterprise Planning and Support Platform Job Description: We are looking for an experienced and forward-thinking Senior EPPS Consultant to lead the implementation and optimization of our Enterprise Performance Prediction and Planning Software (EPPS). This role is pivotal in helping clients enhance strategic planning, forecasting accuracy, and data-driven decision-making. The ideal candidate will bring a strong mix of technical acumen, business planning expertise, and consultative leadership to drive digital transformation initiatives across enterprise environments. Key Responsibilities: Lead discovery sessions with stakeholders to gather business requirements related to performance forecasting, strategic planning, and decision support. Design, configure, and deploy EPPS solutions that integrate predictive analytics, business intelligence, and enterprise planning models. Customize dashboards, reports, and scenario modeling tools aligned to KPIs and business goals. Support data integration efforts between EPPS and ERP, CRM, HRIS, and data warehouse systems. Develop and maintain forecasting models using AI/ML where applicable, improving planning accuracy and response agility. Guide clients through change management processes and user adoption strategies. Provide training, documentation, and ongoing support to end-users and analysts. Act as a trusted advisor in performance management, enterprise planning, and operational alignment.