1551 Pandas Jobs - Page 8

As a Principal Engineer / Architect at our organization, you will be responsible for combining deep technical expertise with strategic thinking to design and implement scalable, secure, and modern digital systems. This senior technical leadership role requires hands-on architecture experience, a strong command of cloud-native development, and a successful track record of leading teams through complex solution delivery. Your role will involve collaborating with cross-functional teams including engineering, product, DevOps, and business stakeholders to define technical roadmaps, ensure alignment with enterprise architecture principles, and guide platform evolution. Key Responsibilities: Architecture & Design: - Lead the design of modular, microservices-based, and secure architecture for scalable digital platforms. - Define and enforce cloud-native architectural best practices using Azure, AWS, or GCP. - Prepare high-level design artefacts, interface contracts, data flow diagrams, and service blueprints. Cloud Engineering & DevOps: - Drive infrastructure design and automation using Terraform or CloudFormation. - Support Kubernetes-based container orchestration and efficient CI/CD pipelines. - Optimize for performance, availability, cost, and security using modern observability stacks and metrics. Data & API Strategy: - Architect systems that handle structured and unstructured data with performance and reliability. - Design APIs with reusability, governance, and lifecycle management in mind. - Guide caching, query optimization, and stream/batch data pipelines across the stack. Technical Leadership: - Act as a hands-on mentor to engineering teams, leading by example and resolving architectural blockers. - Review technical designs, codebases, and DevOps pipelines to uphold engineering excellence. - Translate strategic business goals into scalable technology solutions with pragmatic trade-offs. Key Requirements: Must Have: - 5+ years in software architecture or principal engineering roles with real-world system ownership. - Strong experience in cloud-native architecture with AWS, Azure, or GCP (certification preferred). - Programming experience with Java, Python, or Node.js, and frameworks like Flask, FastAPI, Celery. - Proficiency with PostgreSQL, MongoDB, Redis, and scalable data design patterns. - Expertise in Kubernetes, containerization, and GitOps-style CI/CD workflows. - Strong foundation in Infrastructure as Code (Terraform, CloudFormation). - Excellent verbal and written communication; proven ability to work across technical and business stakeholders. Nice to Have: - Experience in MLOps pipelines, observability stacks (ELK, Prometheus/Grafana), and tools like MLflow, Langfuse. - Familiarity with Generative AI frameworks (LangChain, LlamaIndex), Vector Databases (Milvus, ChromaDB). - Understanding of event-driven, serverless, and agentic AI architecture models. - Python libraries such as pandas, NumPy, PySpark and support for multi-component pipelines (MCP). Preferred: - Prior experience leading technical teams in regulated domains (finance, healthcare, govtech). - Cloud security, cost optimization, and compliance-oriented architectural mindset. What You'll Gain: - Work on mission-critical projects using the latest cloud, data, and AI technologies. - Collaborate with a world-class, cross-disciplinary team. - Opportunities to contribute to open architecture, reusable frameworks, and technical IP. - Career advancement via leadership, innovation labs, and enterprise architecture pathways. - Competitive compensation, flexibility, and a culture that values innovation and impact.,

Certified AI/ML Trainer needed (Online/Offline, Part-Time/Weekend) to teach Python, ML, Deep Learning, tools like TensorFlow, Keras, guide projects, conduct assessments, and mentor students for interviews and certification.

As a Computer Vision Intern, you will be responsible for assisting in building and refining the image recognition pipeline. Your role will involve tasks such as dataset management, image collection, annotation validation, dataset cleaning, and preprocessing. Once the foundational data work is completed, you will gain hands-on experience in model training, augmentation, and evaluation, directly contributing to our production-ready pipeline. Your responsibilities will include organizing, cleaning, and preprocessing large-scale retail image datasets, validating and managing annotations using tools like Roboflow, CVAT, or LabelImg, applying augmentation techniques, preparing datasets for training, supporting in training YOLOv5/YOLOv8-based models on custom datasets, running model evaluations, collaborating with the product team to enhance real-world inference quality, and documenting the dataset pipeline while sharing insights to improve data quality. We are looking for individuals who have a basic understanding of Computer Vision concepts such as Object Detection and Classification, familiarity with Python libraries like OpenCV, Pandas, NumPy, knowledge of image annotation tools like Roboflow, LabelImg, CVAT, and the ability to manage and organize large datasets. Experience with YOLOv5 or YOLOv8 (Training, Inference, Fine-tuning), exposure to image augmentation techniques like Albumentations, understanding of retail/commercial shelf datasets or product detection problems, and previous internship or project experience in computer vision would be considered advantageous for this role.,

As a Lead Developer, you will report to the Head of Technology based in London. Your core responsibilities will include leading the development of new features and platform improvements, managing, mentoring, and motivating team members, liaising with UK-based stakeholders to ensure team alignment with business and technical objectives, planning, coordinating, and delivering technical projects to the agreed schedule, championing and enforcing technical standards, ensuring the Software Development Life Cycle (SDLC) is followed within the team, and assisting with hiring, onboarding, and developing the team. In this role, you will work with an exciting and modern tech stack built for scale, reliability, and productivity. To succeed, you should have solid experience with tools such as Python (SQLAlchemy, Flask, Numpy, Pandas), MySQL, AWS (ECS, S3, Lambda, RDS), RabbitMQ, Docker, Linux, GitLab, Generative AI tools, and AI Tools. The required qualifications and experience for this role include a university degree in a STEM subject from a reputable institution, at least 8 years of professional software development experience, with at least 2 years in a lead/management role, proven experience liaising with remote stakeholders, familiarity with the tech stack or equivalent technologies, and a basic understanding of financial markets and derivative products. You should possess excellent teamwork skills, professional fluency in English (both written and spoken), excellent interpersonal and communication skills to collaborate effectively across global teams and time zones, a strong understanding of distributed software systems, an analytical and inquisitive mindset, and a desire to take on responsibility and make a difference. In terms of benefits, the company offers a competitive compensation package, including a competitive salary based on experience and role fit, annual/performance bonus, health insurance, life insurance, meal benefits, learning & development opportunities relevant to your role and career growth, enhanced leave policy, and a transport budget for roles requiring commute outside of business hours. This is a full-time position that requires in-person work.,

The role requires you to understand the business functionalities and technical/database landscapes of the applications under i360. You will collaborate with Database Engineers and Data Analysts to comprehend the requirements and testing needs. Building and maintaining a test automation framework will be a crucial part of your responsibilities, including creating robust and maintainable test cases covering various ETL processes, database systems, and data analyses. Implementing Quality Engineering Strategies, best practices, and guidelines to ensure scalability, reusability, and maintainability is an essential aspect of the role. As part of the position, you will be expected to identify, replicate, and report defects, as well as verify defect fixes. Data accuracy, completeness, and consistency will be validated using ETL tools and SQL queries. Being proactive, adaptable to changes, and possessing strong communication skills (both verbal and written) are key attributes for success in this role. Expertise in DB-related testing and ETL testing, along with strong Python programming skills and proficiency in SQL and ETL tools like pandas and great expectations, are necessary. Knowledge of SQL and experience working with databases such as Redshift, Elasticsearch, OpenSearch, Postgres, and Snowflake is required. Additionally, familiarity with analyzing population data and demographics, version control using Gitlab, pipeline integration, and working under pressure with strong attention to detail are essential qualities for this position. The role also involves contribution motivation, good verbal and written communication skills, mentorship, knowledge sharing, experience with Jira, knowledge of Agile methodology, and hands-on experience in DevOps like Gitlab CI/CD pipeline. If you possess strong analytical, problem-solving, and troubleshooting skills and stay updated on current market trends, this position might be suitable for you. This is a Contractual/Temporary job with a Day shift schedule and an in-person work location. To apply for this position, please send your resumes to gopi@nithminds.com.,

As a Senior AI/ML Engineer specializing in Python/AI-ML, you will be responsible for developing and implementing AI/ML models using Python. Your expertise in Keras and Pandas will be essential for model development. Additionally, you will work with Generative AI and Large Language Models like GPT-3 and Transformers. Your role will involve building and managing data pipelines using technologies such as Kafka and big data platforms. Experience in Time Series modeling and knowledge of cloud platforms like AWS, Azure, or GCP for deployment and performance optimization will be crucial. Familiarity with Aurora DB and ELK stack will also be beneficial. You should be able to create reusable ML components for scalable systems and possess excellent communication skills for collaborating with cross-functional teams. Exposure to GANs, synthetic data generation techniques, model compliance, and performance benchmarking will be considered advantageous. Mentoring junior developers and understanding model observability and monitoring tools are desirable qualities. With at least 5 years of hands-on experience in AI, Machine Learning, and Generative AI, you should have strong programming skills in Python, Keras, Pandas, and FastAPI. Familiarity with advanced ML models like LangChain, GPT-3, GANs, Transformers, and analytical models such as Time Series Forecasting and Predictive Modelling is required. Knowledge of databases like ChromaDB/Pinecone will be an added advantage. This role at UST, a global digital transformation solutions provider, offers the opportunity to work with cutting-edge technologies and make a real impact through transformation. Join our team of over 30,000 employees in 30 countries to innovate and build for boundless impact, touching billions of lives in the process.,

Genrobotics Innovations is seeking a passionate and talented machine learning intern with a strong foundation in machine learning (ML) and deep learning (DL) algorithms, particularly in the area of computer vision. The ideal candidate will possess a deep understanding of various ML/DL techniques and their applications to real-world problems. In this role, you will collaborate closely with team stakeholders, contributing to the development, testing, analysis, and optimization of advanced machine learning algorithms for our AI systems. You will work on projects that involve data preprocessing, model development, and fine-tuning, with a focus on delivering high-performing solutions. This internship offers a unique opportunity to gain hands-on experience in cutting-edge AI technologies, while contributing to the development of innovative solutions that impact real-world applications. It is an excellent opportunity for anyone looking to expand their expertise in the fast-evolving field of artificial intelligence and computer vision. Responsibilities And Duties - Collaborate with other team members to understand the requirement and gather data. - Develop ML/DL algorithms specifically computer vision models, test, analyse and optimize the model. - Collect data for the model from different sources, preprocess and augment it to develop efficient, data-driven models. - Collaborate with different stakeholders of the team to gather requirements, develop POCs, and implement the best possible solution. - Develop a user interface for the application so that the end-user can make use of the AI system. - Document the work processes, methodologies, and results to ensure transparency and facilitate knowledge sharing. - Stay up-to-date with latest trends, tools, and technologies in machine learning and computer vision. Skills Required - Knowledge of machine learning concepts and techniques. - Profound knowledge of Python programming language. - Familiarity with ML libraries such as OpenCV, numpy, pandas, sklearn, and matplotlib. - Knowledge of mediapipe would be a plus but not mandatory. - Strong analytical and problem-solving skills. - Ability to collaborate with different team members and communicate effectively. Basic qualification: Currently pursuing bachelor's or masters in computer science, information technology, artificial intelligence, or related fields. Experience: Fresher. Job Location: Ernakulam, Kerala. Note: This is a paid internship.,

We are seeking a skilled and driven AI Developer to create, implement, and launch advanced machine learning models and artificial intelligence solutions. The ideal candidate will possess strong programming abilities, a profound comprehension of machine learning algorithms, and proficiency in model deployment and refinement. Your primary responsibilities will include crafting and executing ML models and AI solutions utilizing suitable algorithms, examining extensive datasets to extract valuable patterns for business decisions, and refining machine learning models to ensure optimal performance. You will also be involved in constructing pipelines for data preprocessing, model training, testing, and deployment, as well as integrating ML models into production through REST APIs, Docker, or cloud services (e.g., AWS SageMaker, GCP AI Platform, Azure ML). Monitoring and enhancing model accuracy, scalability, and dependability post-deployment will also be part of your duties. Collaboration with cross-functional teams comprising product, engineering, and data science professionals to incorporate ML solutions into existing systems is crucial. You will be expected to research and implement new AI methodologies while staying abreast of the latest trends in the field. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and libraries like TensorFlow, PyTorch, and Scikit-learn is essential. A solid grasp of supervised, unsupervised, and reinforcement learning techniques is required, along with experience in NLP, computer vision, or time-series forecasting projects. Familiarity with data processing tools such as Pandas, NumPy, and SQL is expected, as well as knowledge of statistics, linear algebra, and probability theory. Experience in deploying models using Flask/FastAPI, Docker, and CI/CD pipelines is preferred. Familiarity with cloud platforms like AWS, GCP, or Azure, as well as proficiency in version control systems (Git) and collaborative tools like JIRA and Confluence, are advantageous. Hands-on experience with MLOps practices, model monitoring tools, Hugging Face Transformers, OpenCV, YOLO, and similar tools will be beneficial. Participation in Kaggle competitions, published papers, or GitHub AI/ML projects is considered a strong advantage. This is a full-time position located in Nagpur with a salary as per market standards. The ideal candidate should have 2-4 years of experience and be below 35 years old. Educational requirements include a Bachelors or Masters degree or equivalent in a relevant field. Proficiency in English and Hindi is required. Please note that there are no specific perks and benefits mentioned for this position.,

As an AI/ML Intern at Varaha, you will be part of a dedicated team of researchers and engineers focused on developing machine learning and deep learning solutions to support sustainable agricultural practices and climate action. This role will provide you with practical exposure to working with diverse datasets and scalable AI systems that aim to make a global impact. Your responsibilities will include designing and implementing machine learning and deep learning models using Python. You will also be involved in data cleaning, preprocessing, and analysis of both structured and unstructured datasets. Additionally, you will have the opportunity to train and assess models using popular libraries such as PyTorch or TensorFlow. Your contributions will extend to internal research, model benchmarking, and collaborative experimentation. It will be essential to document your experiments, code, and results to ensure reproducibility and facilitate collaboration within the team. To excel in this role, you should possess a strong foundation in Python programming and a solid understanding of fundamental machine learning algorithms and concepts such as regression and classification. Familiarity with deep learning techniques and neural networks is also required, along with experience using ML/DL libraries and tools like scikit-learn, pandas, NumPy, PyTorch, or TensorFlow. In terms of qualifications, you should be currently pursuing or have recently completed a B.Tech in Computer Science or a related field from IITs exclusively. Alternatively, you could hold a Master's degree in Computer Science, Data Science, AI, or related disciplines from a recognized institution. Candidates with additional experience in ML competitions or contributions to ML research will be preferred. An interest or background in areas like Natural Language Processing (NLP), Computer Vision, or MLOps will also be advantageous. Exposure to climate or geospatial datasets will be considered a plus. By joining Varaha, you will become part of a dynamic, international team that values ambition and innovation. You can expect mentorship from a diverse, impact-oriented team and the chance to work on real-world AI systems that address climate change. The work environment is characterized by collaboration and creativity, providing you with a platform to grow and contribute meaningfully. Please note that this job description may not encompass all the activities, duties, or responsibilities associated with the role. Responsibilities and tasks may be subject to change at any time, with or without prior notice.,

As a Generative AI Developer Freshers in the Artificial Intelligence department, you will be responsible for leveraging your skills in Generative AI, AI/ML, TensorFlow, PyTorch, and Pandas to contribute to innovative projects. With 0 months to 1 year of experience, you should hold a degree in BE / ME / B.Tech / M.Tech (CS / IT) / MCA or equivalent. Your primary duties and responsibilities will include demonstrating excellent programming and communication skills, having a strong understanding of databases, and implementing Fundamental concepts like OOPs in the development process. You will need to stay updated with industry trends, work on documentation throughout the software development life cycle (SDLC), and be familiar with Agile methodologies. Additionally, you should work on websites or projects during the training period. To excel in this role, you must possess a Bachelor's degree in Computer Science or a Master's in Computer Application, along with proficiency in HTML, MySQL, CSS, JavaScript, JQuery, and AJAX. A solid grasp of OOPS concepts, MVC structure, and communication skills are essential. Strong logical, programming, and analytical skills are also required, while knowledge of Django, Python, Ruby, Rails, and Angular JS would be advantageous. This position is based in Indore, Madhya Pradesh, with a work-from-office model. You must be open to on-site work at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with corresponding on-site benefits. Apply now if you are eager to contribute to cutting-edge AI projects and enhance your skills in a dynamic work environment.,

We are seeking an enthusiastic and skilled Python Developer with a passion for AI-based application development to join our expanding technology team. This role presents an opportunity to work at the intersection of software engineering and data analytics, contributing to cutting-edge AI-driven solutions that have a real business impact. If you possess a strong foundation in Python, a knack for problem-solving, and a keen interest in building intelligent systems, we are excited to meet you! As a Python Developer at ARDEM Data Services Private Limited, your key responsibilities will include: - Developing and deploying AI-focused applications using Python and associated frameworks. - Collaborating with Developers, Product Owners, and Business Analysts to design and implement machine learning pipelines. - Creating interactive dashboards and data visualizations to derive actionable insights. - Automating data collection, transformation, and processing tasks. - Utilizing SQL for data extraction, manipulation, and database management. - Applying statistical methods and algorithms to extract insights from large datasets. The ideal candidate should have: - 2-3 years of experience as a Python Developer, along with a robust portfolio of relevant projects. - A Bachelor's degree in Computer Science, Data Science, or a related technical field. - In-depth knowledge of Python, including frameworks and libraries such as NumPy, Pandas, SciPy, and PyTorch. - Proficiency in front-end technologies like HTML, CSS, and JavaScript. - Familiarity with SQL and NoSQL databases and their best practices. - Excellent communication and team-building skills. - Strong problem-solving abilities with a focus on innovation and self-learning. - Knowledge of cloud platforms such as AWS is a plus. Technical Requirements: - Laptop or Desktop: Windows (i5 or higher, 8GB RAM minimum) - Screen: 14 inches, Full HD (1920x1080) - Internet Speed: 100 Mbps or higher About ARDEM: ARDEM is a prominent Business Process Outsourcing and Business Process Automation service provider with a successful track record of over two decades. We deliver outsourcing and automation services to clients in the USA and Canada, focusing on continuous innovation and excellence. We are committed to becoming the leading Business Process Outsourcing and Business Process Automation company by consistently delivering top-notch services to our customers. Please note: ARDEM will never request personal or banking information during the hiring process for any data entry/processing roles. Any communication claiming to offer work-from-home jobs on behalf of ARDEM Incorporated is fraudulent. Please disregard such messages and refer to ARDEM's Careers page for genuine job opportunities. We apologize for any inconvenience caused by such deceptive practices.,

DecisionX is pioneering a new category with the world's first Decision AI, an AI Super-Agent that assists high-growth teams in making smarter, faster decisions by transforming fragmented data into clear next steps. Whether it involves strategic decisions in the boardroom or operational decisions across various departments like Sales, Marketing, Product, and Engineering, down to the minutiae that drives daily operations, Decision AI serves as your invisible co-pilot, thinking alongside you, acting ahead of you, and evolving beyond you. We are seeking a dedicated and hands-on AI Engineer to join our Founding team. In this role, you will collaborate closely with leading AI experts to develop the intelligence layer of our exclusive "Agentic Number System." Key Responsibilities - Building, fine-tuning, and deploying AI/ML models for tasks such as segmentation, scoring, recommendation, and orchestration. - Developing and optimizing agent workflows using LLMs (OpenAI, Claude, Mistral, etc.) for contextual reasoning and task execution. - Creating vector-based memory systems utilizing tools like FAISS, Chroma, or Weaviate. - Working with APIs and connectors to incorporate third-party data sources (e.g., Salesforce, HubSpot, GSuite, Snowflake). - Designing pipelines that transform structured and unstructured signals into actionable insights. - Collaborating with GTM and product teams to define practical AI agent use cases. - Staying informed about the latest developments in LLMs, retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph). Must Have Skills - 5-8 years of experience in AI/ML engineering or applied data science. - Proficient programming skills in Python, with expertise in LangChain, Pandas, NumPy, and Scikit-learn. - Experience with LLMs (OpenAI, Anthropic, etc.), prompt engineering, and RAG pipelines. - Familiarity with vector stores, embeddings, and semantic search. - Expertise in data wrangling, feature engineering, and model deployment. - Knowledge of MLOps tools such as MLflow, Weights & Biases, or equivalent. What you will get - Opportunity to shape the AI architecture of a high-ambition startup. - Close collaboration with a visionary founder and experienced product team. - Ownership, autonomy, and the thrill of building something from 0 to 1. - Early team equity and a fast growth trajectory.,

As a PL SQL Developer with 5 to 7 years of experience, you will be based in Pune/hybrid with an immediate to 15 days notice period. You must possess expertise in languages such as SQL, T-SQL, PL/SQL, and Python libraries like PySpark, Pandas, NumPy, Matplotlib, and Seaborn, along with databases like SQL Server and Synapse. Your key responsibilities will include designing and maintaining efficient data pipelines and ETL processes using SQL and Python, writing optimized queries for data manipulation, using Python libraries for data processing and visualization, performing EOD data aggregation and reporting, working on Azure Synapse Analytics for scalable data transformations, monitoring and managing database performance, collaborating with cross-functional teams, ensuring secure data handling and compliance with organizational policies, and debugging Unix-based scripts. To be successful in this role, you should have a Bachelors/Masters degree in Computer Science, IT, or a related field, along with 5-8 years of hands-on experience in data engineering and analytics. You must have a solid understanding of database architecture, experience in end-of-day reporting setups, and familiarity with cloud-based analytics platforms. This is a full-time, permanent position with day shift schedule and in-person work location.,

As an AI/ML Trainer at our institution in Bhubaneshwar, you will be responsible for delivering comprehensive lectures on Artificial Intelligence, Machine Learning, Deep Learning, and Data Science to students enrolled in B.Tech, MCA, and M.Sc-IT courses. Your role will involve equipping students with both theoretical knowledge and practical skills essential for industry readiness. Your key responsibilities will include delivering engaging lectures on topics such as Machine Learning Algorithms, Supervised/Unsupervised Learning, Neural Networks, Computer Vision, Natural Language Processing (NLP), and AI model deployment. You will ensure that students gain conceptual clarity and hands-on experience using tools like Python, TensorFlow, Keras, and Scikit-learn. Additionally, you will be expected to continuously update teaching content to align with industry trends and technological advancements. Apart from teaching, you will also be involved in conducting applied research in AI/ML, staying updated with the latest advancements in the field, and supporting students in research and innovation projects. Providing mentorship to students working on AI/ML internships, final year projects, or competitions will be an integral part of your role. Collaboration is key in this position, as you will collaborate with academic peers and industry experts to enhance the AI/ML curriculum and establish connections with AI/ML startups or companies for student internships and collaborative projects. Professional development is encouraged, and you will have the opportunity to participate in workshops, webinars, and conferences to stay abreast of the evolving AI landscape. To qualify for this role, you should possess a Masters degree in Artificial Intelligence, Computer Science, Data Science, or a related field, along with 6 months to 1 year of experience. A strong background in Machine Learning, Deep Learning, and proficiency in Python-based AI tools is essential. Prior teaching or corporate training experience would be highly beneficial. The ideal candidate will demonstrate expertise in AI/ML frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn, along with a strong command over Python, NumPy, Pandas, and Jupyter Notebooks. Excellent communication and presentation skills, analytical thinking, and problem-solving abilities are key competencies required for this role. If you have a passion for teaching and mentoring future AI professionals, we encourage you to apply and be a part of our dynamic and innovative educational environment where you can shape the future of AI/ML professionals while engaging in real-world problem-solving and research-driven teaching. This position offers a competitive salary and benefits package, providing you with the opportunity to make a meaningful impact in the field of AI/ML.,

We are seeking a Senior LLM Engineer to actively contribute to the development of cutting-edge GenAI applications. Your responsibilities will include building GenAI applications that align with business use cases, designing and optimizing prompts for multi-modal models, testing GenAI solutions to ensure they meet requirements and implementing guardrails to prevent unintended or harmful content generation. Additionally, you will be involved in designing conversational or RAG systems. To be successful in this role, you should have a Bachelor's degree in Engineering or related fields with at least 3 years of experience in ML/LLMs. You should possess knowledge of prompt engineering techniques such as chain of thoughts, tree of thoughts, guardrails, zero-shot or few-shot prompting. Familiarity with open-source and proprietary LLMs like GPT, Claude, LLaMA, and Mistral is required. Proficiency in Python programming and experience with libraries like numpy and pandas are essential. Hands-on experience with frameworks such as Langchain, LlamaIndex, Huggingface, or similar tools is preferred. Knowledge of RAG and experience with self-hosted/cloud-based vector databases is a plus. The ideal candidate will have a proven ability to work effectively in a cross-discipline environment within defined timelines. Experience with cloud-based systems, particularly GCP or AWS, is highly desirable. Strong analytical, problem-solving, written, and verbal communication skills are also key requirements. This position is based in Ahmedabad or Pune.,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,

The Data Scientist is expected to harness large volumes of complex data to generate actionable insights that fuel business strategy and innovation. This role requires expertise in advanced statistical methods, machine learning techniques, and data visualization to discover patterns, forecast outcomes, and support data-driven decision-making across the organization. Transforming complex datasets into solutions is a key aspect of the role, leveraging statistical expertise and machine learning to answer crucial business questions. This includes collecting, cleaning, and preprocessing structured and unstructured data from various sources such as databases, APIs, logs, and documents. Investigating data sets to identify patterns, anomalies, trends, and correlations through Exploratory Data Analysis (EDA) is essential for informing hypotheses and model development. Designing, implementing, and fine-tuning statistical and machine learning models for prediction, classification, segmentation, and recommendation tasks is a core responsibility. Evaluating model performance using appropriate metrics and iterating to improve robustness and generalizability is crucial. Translating complex model outputs into intuitive visualizations and business-relevant narratives using tools like Power BI, Tableau, or custom dashboards is important for effective data storytelling and visualization. Presenting findings and actionable recommendations to stakeholders in a clear and compelling manner to enable informed decision-making across departments is a key part of the role. Collaborating closely with business, product, engineering, and operations teams to understand domain-specific challenges and deliver tailored data-driven solutions is essential. Staying updated on the latest developments in data science, AI/ML frameworks, and big data technologies to incorporate cutting-edge methods into workflows is also a required aspect. The ideal candidate should possess deep proficiency in Python or R, along with fluency in SQL and familiarity with core data manipulation libraries such as NumPy, Pandas, and Scikit-learn. The ability to translate complex data outputs into clear, concise, and visually compelling insights for technical and non-technical stakeholders is necessary. A solid grasp of business fundamentals to connect analytical findings with strategic decision-making is crucial, along with having a naturally analytical mindset and a passion for uncovering insights, solving problems, and discovering meaningful patterns within data. Educational qualifications for this role include an advanced degree (Masters or PhD) in a quantitative discipline such as Statistics, Mathematics, Computer Science, or a closely related field. The ideal candidate should have 3+ years of demonstrated experience in data science, showcasing a strong command of statistical modeling and machine learning techniques. The Data Scientist role falls under the Software Division and reports to the CTO Org.,

You should have experience in BI Product Development, specifically with Apache Superset. Hands-on experience with other BI tools like Power BI or Tableau is acceptable if you have strong project-based BI development exposure. It is essential that you have worked on multiple BI projects end-to-end. Advanced proficiency in Python and SQL is a must. You should have used Python for product development or in complex analytics projects. Additionally, you must demonstrate advanced SQL knowledge, such as optimizing queries, working with large datasets, and utilizing stored procedures. Be prepared to provide specific use cases where your Python and SQL expertise was critical. You should have hands-on experience in advanced analytics, including Fraud Analytics, Prediction/Forecasting models, and statistical or machine learning techniques. Familiarity with Pandas, NumPy, Scikit-learn, or similar Python libraries is a plus. Experience in client management is necessary, as you will be expected to manage BI projects for external or internal clients. You should be capable of understanding client requirements, presenting solutions, and effectively managing delivery timelines and stakeholder expectations.,

You are a skilled and motivated AI Developer with over 3+ years of hands-on experience in building, deploying, and optimizing AI/ML models. Your expertise includes strong proficiency in Python, Scikit-learn, machine learning algorithms, and practical experience of Azure AI services, Azure AI foundry, Copilot Studio, and Dataverse are mandatory. You will be responsible for designing intelligent solutions using modern deep learning and neural network architectures, integrated into scalable cloud-based environments. Your key responsibilities will include utilizing Azure AI Foundry and Copilot Studio to build AI-driven solutions that can be embedded within enterprise workflows. You will design, develop, and implement AI/ML models using Python, Scikit-learn, and modern deep learning frameworks. Additionally, you will build and optimize predictive models using structured and unstructured data from data lakes and other enterprise sources. Collaborating with data engineers to process and transform data pipelines across Azure-based environments, you will develop and integrate applications with Microsoft Dataverse for intelligent business process automation. Applying best practices in data structures and algorithm design, you will ensure high performance and scalability of AI applications. Your role will involve training, testing, and deploying machine learning, deep learning, and neural network models in production environments. Furthermore, you will be responsible for ensuring model governance, performance monitoring, and continuous learning using Azure MLOps pipelines. Collaborating cross-functionally with data scientists, product teams, and cloud architects, you will drive AI innovation within the organization. As a qualified candidate, you hold a Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. With 3+ years of hands-on experience in AI/ML development, you possess practical experience with Copilot Studio and Microsoft Dataverse integrations. Expertise in Microsoft Azure is essential, particularly with services such as Azure Machine Learning, Azure Data Lake, and Azure AI Foundry. Proficiency in Python and machine learning libraries like Scikit-learn, Pandas, and NumPy is required. A solid understanding of data structures, algorithms, and object-oriented programming is essential, along with experience in data lakes, data pipelines, and large-scale data processing. Your deep understanding of neural networks, deep learning frameworks (e.g., TensorFlow, PyTorch), and model tuning will be valuable in this role. Familiarity with MLOps practices and lifecycle management on cloud platforms is beneficial. Strong problem-solving abilities, communication skills, and team collaboration are important attributes for this position. Preferred qualifications include Azure AI or Data Engineering certification, experience in deploying AI-powered applications in enterprise or SaaS environments, knowledge of generative AI or large language models (LLMs), and exposure to REST APIs, CI/CD pipelines, and version control systems like Git.,

You are looking for an experienced Python Developer to join a dynamic development team. With 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks, you will play a crucial role in developing robust and high-performance solutions. Collaboration with design, frontend, and DevOps teams is essential for successful project delivery. Your key responsibilities will include developing, testing, and maintaining backend applications using Django, Flask, or FastAPI. You will build RESTful APIs, integrate third-party services, and utilize data handling libraries like Pandas and NumPy for efficient data processing. Writing clean, maintainable, and well-documented code that follows industry best practices is a must. Additionally, participation in code reviews, mentoring junior developers, and troubleshooting production issues are part of your role. To excel in this position, you must have 2 to 5 years of backend development experience with Python. Proficiency in core and advanced Python concepts, strong command over at least one Python framework, experience with data libraries, and familiarity with version control systems are required. Comfort working in Linux environments, expertise in backend Python development, strong debugging skills, and experience with API development and microservices architecture are essential skills. Desirable skills include experience with Generative AI frameworks, exposure to Machine Learning libraries, knowledge of containerization tools, familiarity with web servers, understanding of asynchronous programming, and Agile practices. Exposure to CI/CD pipelines and cloud platforms will be beneficial. The company specializes in delivering cutting-edge solutions in custom software, web, and AI development. The work culture emphasizes a unique blend of in-office and remote collaboration, prioritizing employees above all else. Continuous learning, leadership opportunities, and mutual respect are encouraged, fostering an environment where individuals are valued and supported in achieving their fullest potential. As part of the benefits and perks, you can expect a competitive salary of up to 6-10 LPA based on skills and experience, generous time off with 18 annual holidays for work-life balance, extensive learning opportunities, and valuable client exposure to enhance your professional growth.,

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. Our Technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of Financial and Non-Financial services across the globe. The Position is a senior technical, hands-on delivery role, requiring knowledge of data engineering, cloud infrastructure and platform engineering, platform operations, and production support using ground-breaking cloud and big data technologies. The ideal candidate with 8-10 years of relevant experience will possess strong technical skills, an eagerness to learn, a keen interest in the three key pillars that our team supports i.e. Financial Crime, Financial Risk, and Compliance technology transformation. The ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. In this role you will: - Develop, maintain, and optimize backend systems and RESTful APIs using Python and Flask. - Be proficient in concurrent processing strategies and performance optimization for complex architectures. - Write clean, maintainable, and well-documented code. - Develop comprehensive test suites to ensure code quality and reliability. - Work independently to deliver features and fix issues, with a few hours of overlap for real-time collaboration. - Integrate backend services with databases and APIs. - Collaborate asynchronously with cross-functional team members. - Participate in occasional team meetings, code reviews, and planning sessions. Core/Must Have Skills: - Should have a minimum of 6+ years of Professional Python Development experience. - Strong understanding of Computer science fundamentals (Data Structures, Algorithms). - 6+ years of experience in Flask and Restful API Development. - Knowledge of container technologies (Dockers, Kubernetes). - Experience in implementing interfaces in Python. - Ability to use Python generators for efficient memory management. - Good understanding of Pandas, NumPy, and Matplotlib library for data analytics and reporting. - Implementation of multi-threading and parallelism in Python. - Knowledge of SQL Alchemy to interact with databases. - Experience in implementing ETL transformations using Python libraries. - Collaborate with cross-functional teams to ensure successful implementation techniques of performing list compressions in Python of solutions. Good to have: - Exposure to Data Science libraries or data-centric development. - Understanding of authentication and authorization (e.g. JWT, OAuth). - Basic knowledge of frontend technologies (HTML/CSS/JavaScript) is a bonus but not required. - Experience with cloud services (AWS, GCP, or Azure). EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Data Engineer + Subject Matter Expert in Data Mining at Newton School of Technology, you will play a crucial role in revolutionizing technology education and empowering students to bridge the employability gap in the tech industry. You will have the opportunity to develop and deliver engaging lectures, mentor students, and contribute to the academic and research environment of the Computer Science Department. Your key responsibilities will include developing comprehensive lectures on "Data Mining", BigData, and Data Analytics courses, covering foundational concepts to advanced techniques. You will guide students on the complete data lifecycle, including preprocessing, cleaning, transformation, and feature engineering. Teaching a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detections will be a part of your role. Moreover, you will design practical lab sessions, grade assessments, mentor students on projects, and stay updated with the latest advancements in data engineering and machine learning to ensure the curriculum remains cutting-edge. To excel in this role, you are required to have a Ph.D. or a Master's degree with significant industry experience in Computer Science, Data Science, Artificial Intelligence, or related fields. Your expertise in data engineering and machine learning concepts, proficiency in Python and its data science ecosystem, experience in teaching complex topics at the undergraduate level, and excellent communication skills are essential qualifications. Preferred qualifications include a record of academic publications, industry experience as a Data Scientist or in a similar role, familiarity with big data technologies and deep learning frameworks, and experience in mentoring student teams for data science competitions or hackathons. By joining Newton School of Technology, you will be offered competitive salary packages, access to advanced labs and facilities, and the opportunity to be part of a forward-thinking academic team shaping the future of tech education. If you are passionate about transforming technology education, empowering students, and staying at the forefront of data engineering and machine learning, we are excited about the possibility of you joining our team at Newton School of Technology. For more information about our university, please visit our website: Newton School of Technology.,

As a Data Analytics / BI professional with 2-3 years of experience in areas such as investment, real estate, taxation, finance, and accounts, you have an exciting opportunity to join CMS Computers Limited (INDIA) in Mumbai (Bhandup) on a Work From Office basis. It is important to note that CMS will consider candidates with an immediate to 15 days notice period. If you possess the required experience and skills, please review the job description provided below and feel free to contact us via email or phone to express your interest. For the CA Requirement position, we are looking for candidates with 8+ years of experience to lead the data Analytics / BI domain in Mumbai (Bhandup) on a Work From Office basis. The ideal candidate should have expertise in Python, particularly in data analytics projects, advanced SQL knowledge, experience working on various projects across different domains, and strong communication skills. This role involves managing a team and driving existing analytics products with a focus on technical aspects as well as management (70:30 ratio). Key Responsibilities: - Write effective, scalable code - Develop back-end components to enhance responsiveness and performance - Integrate user-facing elements into applications - Test and debug programs - Enhance functionality of existing systems - Implement security and data protection solutions - Prioritize feature requests - Collaborate with internal teams to understand user requirements and offer technical solutions Required Skills and Abilities: - 6 to 11 years of hands-on experience with Python - Strong understanding of Python data structures, data transformation, and algorithms - Proficiency in Python libraries like Pandas, numpy, requests, etc. - Experience using Python as a scripting language and for framework creation - Familiarity with SCM tools like Git, Bitbucket - Working knowledge of RDBMS and SQL - Experience with unit testing frameworks and performance testing - Good communication and debugging skills Desired Skills: - Experience as a Python Developer - Expertise in a popular Python framework like Django, Flask, or Pyramid - Knowledge of object-relational mapping (ORM) - Familiarity with front-end technologies like React JS, JavaScript, HTML5 - Team player with good problem-solving skills Good to Have: - Cloud experience - Big Data knowledge (Pyspark/Spark-Scala) - Knowledge of Kubernetes, dockerization - Experience with Terraform If you are interested in this position, please share your updated resume with Chaitali Saha at chaitali.saha@voqeoit.com. Kindly provide details on your Total Experience, Relevant Experience, Current CTC, Expected CTC, Notice Period, Negotiable Notice Period, Last Working Day (if not currently employed), and any existing job offers. We look forward to potentially welcoming you to the team at Voqeoit Technologies. Regards, Chaitali Saha Talent Acquisition Group Voqeoit Technologies Contact no: 8088779710 Website: www.voqeoit.com,

Role Characteristics: Analytics team provides analytical support to multiple stakeholders (Product, Engineering, Business development, Ad operations) by developing scalable analytical solutions, identifying problems, coming up with KPIs and monitor those to measure impact/success of product improvements/changes and streamlining processes. This will be an exciting and challenging role that will enable you to work with large data sets, expose you to cutting edge analytical techniques, work with latest AWS analytics infrastructure (Redshift, s3, Athena, and gain experience in the usage of location data to drive businesses. Working in a dynamic start up environment will give you significant opportunities for growth within the organization. A successful applicant will be passionate about technology and developing a deep understanding of human behavior in the real world. They would also have excellent communication skills, be able to synthesize and present complex information and be a fast learner. You Will: Perform root cause analysis with minimum guidance to figure out reasons for sudden changes/abnormalities in metrics Understand objective/business context of various tasks and seek clarity by collaborating with different stakeholders (like Product, Engineering) Derive insights and putting them together to build a story to solve a given problem Suggest ways for process improvements in terms of script optimization, automating repetitive tasks Create and automate reports and dashboards through Python to track certain metrics basis given requirements Automate reports and dashboards through Python Technical Skills (Must have) B.Tech degree in Computer Science, Statistics, Mathematics, Economics or related fields 4-6 years of experience in working with data and conducting statistical and/or numerical analysis Ability to write SQL code Scripting/automation using python Hands on experience in data visualisation tool like Looker/Tableau/Quicksight Basic to advance level understanding of statistics Other Skills (Must have) Be willing and able to quickly learn about new businesses, database technologies and analysis techniques Strong oral and written communication Understanding of patterns/trends and draw insights from those Preferred Qualifications (Nice to have) Experience working with large datasets Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3) Hands on experience on AWS services like lambda, step functions, Glue, EMR + exposure to pyspark What we offer At GroundTruth, we want our employees to be comfortable with their benefits so they can focus on doing the work they love. Parental leave- Maternity and Paternity Flexible Time Offs (Earned Leaves, Sick Leaves, Birthday leave, Bereavement leave & Company Holidays) In Office Daily Catered Lunch Fully stocked snacks/beverages Health cover for any hospitalization. Covers both nuclear family and parents Tele-med for free doctor consultation, discounts on health checkups and medicines Wellness/Gym Reimbursement Pet Expense Reimbursement Childcare Expenses and reimbursements Employee assistance program Employee referral program Education reimbursement program Skill development program Cell phone reimbursement (Mobile Subsidy program) Internet reimbursement Birthday treat reimbursement Employee Provident Fund Scheme offering different tax saving options such as VPF and employee and employer contribution up to 12% Basic Creche reimbursement Co-working space reimbursement NPS employer match Meal card for tax benefit Special benefits on salary account We are an equal opportunity employer and value diversity, inclusion and equity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This job might be for you if You enjoy solving problems. You love taking on difficult challenges and finding creative solutions. You dont know the answer but will dig until you find it. You communicate clearly. You write well. You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference. You can impress our customers with your enthusiasm to solve their issues (and solve them!) Job Description As an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities Collaborate with clients to understand their business processes, goals, and requirements. Design and implement AI/ML solutions using state-of-the-art techniques and methodologies. Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions. Work with cross-functional teams to map AI/ML solutions to client business processes. Perform data analysis, data preprocessing, and feature engineering as needed. Conduct hypothesis testing, feature extraction, feature selection, cross-validation. Develop and deploy machine learning models in a production environment. Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation. Communicate findings and insights effectively to both technical and non-technical stakeholders. Ensure project deliverables meet high-quality standards and are completed on time and within budget. Qualifications Bachelors or masters degree in computer science, Machine Learning, Data Science or a related field. At least 5 to 8 years of hands-on experience in designing and delivering AI/ML solutions. Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification. Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus. Proficiency in programming languages such as Python or R. Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with MLOps is a plus Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and presentation skills.